| _ | learning | _ |
|---|
| 1-Click | learning | of Object Models for Recognition |
| 1000 Pupil Segmentations in a Second using Haar Like Features and Statistical | learning | |
| 12-in-1: Multi-Task Vision and Language Representation | learning | |
| 2-Step Approach to Satellite Image Classification Using Fuzzy Neural Networks and the ID3 | learning | Algorithm, A |
| 2.5D Deep | learning | -Based Approach for Prostate Cancer Detection on T2-Weighted Magnetic Resonance Imaging, A |
| 2D face recognition based on supervised subspace | learning | from 3D models |
| 2D Segmentation from Fovea Images Based on Eigen-Subspace | learning | |
| 2D-LCoLBP: A | learning | Two-Dimensional Co-Occurrence Local Binary Pattern for Image Recognition |
| 2D-to-3D image conversion by | learning | depth from examples |
| 2D/3D image registration using regression | learning | |
| 2D/3D Pose Estimation and Action Recognition Using Multitask Deep | learning | |
| 2F-TP: | learning | Flexible Spatiotemporal Dependency for Flexible Traffic Prediction |
| 3-D Consistent and Robust Segmentation of Cardiac Images by Deep | learning | With Spatial Propagation |
| 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer | learning | From a 2-D Trained Network |
| 3-D Deconvolutional Networks for the Unsupervised Representation | learning | of Human Motions |
| 3-D Deep | learning | Approach for Remote Sensing Image Classification |
| 3-D Deep | learning | -based Item Classification for Belt Conveyors Targeting Packaging and Logistics |
| 3-D Head Tracking via Invariant Keypoint | learning | |
| 3-D Point Cloud Attribute Compression with p-Laplacian Embedding Graph Dictionary | learning | |
| 30-m landsat-derived cropland extent product of Australia and China using random forest machine | learning | algorithm on Google Earth Engine cloud computing platform, A |
| 360-Indoor: Towards | learning | Real-World Objects in 360° Indoor Equirectangular Images |
| 3D Appearance Super-Resolution With Deep | learning | |
| 3D Bounding Box Estimation Using Deep | learning | and Geometry |
| 3D Building Facade Reconstruction Using Deep | learning | |
| 3D Compositional Zero-Shot | learning | with DeCompositional Consensus |
| 3D Concept | learning | and Reasoning from Multi-View Images |
| 3D deep | learning | approach based on Shape Prior for automatic segmentation of myocardial diseases, A |
| 3D Deep | learning | for Biological Function Prediction from Physical Fields |
| 3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial | learning | |
| 3D Ego-Pose Estimation via Imitation | learning | |
| 3D Face From X: | learning | Face Shape From Diverse Sources |
| 3D face recognition for partial data using Semi-Coupled Dictionary | learning | |
| 3D Face Reconstruction Based on Weakly-Supervised | learning | Morphable Face Model |
| 3D Face Reconstruction by | learning | from Synthetic Data |
| 3D face tracking and expression inference from a 2D sequence using manifold | learning | |
| 3D facial expression recognition via multiple kernel | learning | of Multi-Scale Local Normal Patterns |
| 3D Facial Matching by Spiral Convolutional Metric | learning | and a Biometric Fusion-Net of Demographic Properties |
| 3D Features for human action recognition with semi-supervised | learning | |
| 3D Hand Pose Estimation from RGB Using Privileged | learning | with Depth Data |
| 3D Hierarchical Refinement and Augmentation for Unsupervised | learning | of Depth and Pose From Monocular Video |
| 3D Human Action Representation | learning | via Cross-View Consistency Pursuit |
| 3D Human Motion Tracking using Manifold | learning | |
| 3D Human Pose and Shape Estimation Through Collaborative | learning | and Multi-view Model-fitting |
| 3D Human Pose Estimation from Static Images Using Local Features and Discriminative | learning | |
| 3D Human Pose Estimation in the Wild by Adversarial | learning | |
| 3D Human Pose Estimation via Deep | learning | from 2D Annotations |
| 3D Human Pose Machines with Self-Supervised | learning | |
| 3d Human Shape and Pose from a Single Low-resolution Image with Self-supervised | learning | |
| 3D immersive karaoke for the | learning | of foreign language pronunciation |
| 3D Instance Segmentation via Multi-Task Metric | learning | |
| 3D Interactive Segmentation With Semi-Implicit Representation and Active | learning | |
| 3D Interest Point Detection via Discriminative | learning | |
| 3D Layout Estimation via Weakly Supervised | learning | of Plane Parameters From 2D Segmentation |
| 3d Map Aided Deep | learning | Based Indoor Localization System for Smart Devices, A |
| 3D Modelling of Interior Spaces: | learning | the Language of Indoor Architecture |
| 3D Multi-Attention Guided Multi-Task | learning | Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification |
| 3D multi-resolution deep | learning | model for diagnosis of multiple pathological types on pulmonary nodules |
| 3D Neighborhood Convolution: | learning | Depth-Aware Features for RGB-D and RGB Semantic Segmentation |
| 3D Object Pose Estimation Using Multi-Objective Quaternion | learning | |
| 3D Object Pose Estimation Using Viewpoint Generative | learning | |
| 3D Object Reconstruction from a Single Depth View with Adversarial | learning | |
| 3D Object Representation | learning | : A Set-to-Set Matching Perspective |
| 3D object retrieval with graph-based collaborative feature | learning | |
| 3D palmprint recognition using unsupervised convolutional deep | learning | network and SVM classifier |
| 3D Photo Stylization: | learning | to Generate Stylized Novel Views from a Single Image |
| 3d Photogrammetric Inspection of Risers Using RPAs and Deep | learning | In Oil and Gas Offshore Platforms |
| 3D Point Cloud Processing and | learning | for Autonomous Driving: Impacting Map Creation, Localization, and Perception |
| 3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer | learning | |
| 3D Point Cloud Semantic Augmentation: Instance Segmentation of 360° Panoramas by Deep | learning | Techniques |
| 3D Pose Estimation Based on Reinforce | learning | for 2D Image-Based 3D Model Retrieval |
| 3D priors for scene | learning | from a single view |
| 3D Probabilistic Deep | learning | System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans, A |
| 3D Reconstruction of a Complex Grid Structure Combining UAS Images and Deep | learning | |
| 3D reconstruction of Borobudur reliefs from 2D monocular photographs based on soft-edge enhanced deep | learning | |
| 3D reconstruction of insects: an improved multifocus stacking and an evaluation of | learning | -based MVS approaches |
| 3D segmentation of abdominal CT imagery with graphical models, conditional random fields and | learning | |
| 3D Semantic Labeling of Photogrammetry Meshes Based on Active | learning | |
| 3D Semantic Segmentation in the Wild: | learning | Generalized Models for Adverse-Condition Point Clouds |
| 3D Semi-Supervised | learning | with Uncertainty-Aware Multi-View Co-Training |
| 3D Shape Matching and Inspection Using Geometric Features and Relational | learning | |
| 3D Shape Reconstruction from Multiple Silhouettes: Generalization from Few Views by Neural Network | learning | |
| 3D shape retrieval and classification using multiple kernel | learning | on extended Reeb graphs |
| 3D Shape Segmentation with Geometric Deep | learning | |
| 3D Shapes Local Geometry Codes | learning | with SDF |
| 3D tracking in unknown environments using on-line keypoint | learning | for mobile augmented reality |
| 3D U-Net based two stage deep | learning | framework for predicting dose distributions in radiation treatment planning, A |
| 3D visual pronunciation of Mandarine Chinese for language | learning | |
| 3D-aware Image Synthesis via | learning | Structural and Textural Representations |
| 3D-CSL: Self-Supervised 3D Context Similarity | learning | for Near-Duplicate Video Retrieval |
| 3D-Gabor Inspired Multiview Active | learning | for Spectral-Spatial Hyperspectral Image Classification |
| 3D-MetaConNet: Meta- | learning | for 3D Shape Classification and Segmentation |
| 3D-ResNet-BiLSTM Model: A Deep | learning | Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data |
| 3D-Selfcutmix: Self-Supervised | learning | for 3D Point Cloud Analysis |
| 3D-UNet-LSTM: A Deep | learning | -Based Radar Echo Extrapolation Model for Convective Nowcasting |
| 3D2SeqViews: Aggregating Sequential Views for 3D Global Feature | learning | by CNN With Hierarchical Attention Aggregation |
| 3DAC: | learning | Attribute Compression for Point Clouds |
| 3DCD: Scene Independent End-to-End Spatiotemporal Feature | learning | Framework for Change Detection in Unseen Videos |
| 3DCNN-DQN-RNN: A Deep Reinforcement | learning | Framework for Semantic Parsing of Large-Scale 3D Point Clouds |
| 3DContextNet: K-d Tree Guided Hierarchical | learning | of Point Clouds Using Local and Global Contextual Cues |
| 3DeepCT: | learning | Volumetric Scattering Tomography of Clouds |
| 3DeepM: An Ad Hoc Architecture Based on Deep | learning | Methods for Multispectral Image Classification |
| 3DMatch: | learning | Local Geometric Descriptors from RGB-D Reconstructions |
| 3DPointCaps++: | learning | 3D Representations with Capsule Networks |
| 3DTNet: | learning | Local Features Using 2D and 3D Cues |
| 3M-RL: Multi-Resolution, Multi-Agent, Mean-Field Reinforcement | learning | for Autonomous UAV Routing |
| 3PSDF: Three-Pole Signed Distance Function for | learning | Surfaces with Arbitrary Topologies |
| 3TP-CNN: Radiomics and Deep | learning | for Lesions Classification in DCE-MRI |
| 4-D Facial Expression Recognition by | learning | Geometric Deformations |
| 46-Year (1973-2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine | learning | and Object-Oriented Classification |
| 4DContrast: Contrastive | learning | with Dynamic Correspondences for 3D Scene Understanding |
| 6D-ViT: Category-Level 6D Object Pose Estimation via Transformer-Based Instance Representation | learning | |
| 6G Connected Vehicle Framework to Support Intelligent Road Maintenance Using Deep | learning | Data Fusion |
| 8-Day and Daily Maximum and Minimum Air Temperature Estimation via Machine | learning | Method on a Climate Zone to Global Scale |
| A-DFPN: Adversarial | learning | and Deformation Feature Pyramid Networks for Object Detection |
| A-MAL: Automatic Motion Assessment | learning | from Properly Performed Motions in 3D Skeleton Videos |
| A-SDF: | learning | Disentangled Signed Distance Functions for Articulated Shape Representation |
| A2-RL: Aesthetics Aware Reinforcement | learning | for Image Cropping |
| AAAI Fall Symposium on Machine | learning | in Computer Vision |
| Abandoned Land Mapping Based on Spatiotemporal Features from PolSAR Data via Deep | learning | Methods |
| ABAW: | learning | from Synthetic Data & Multi-task Learning Challenges |
| ABAW: | learning | from Synthetic Data & Multi-task Learning Challenges |
| ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task | learning | Challenges |
| Abbreviating Labelling Cost for Sentinel-2 Image Scene Classification Through Active | learning | |
| ABC: A Big CAD Model Dataset for Geometric Deep | learning | |
| Abnormal area identification of corn ear based on semi-supervised | learning | |
| Abnormal Behavior Recognition for Human Motion Based on Improved Deep Reinforcement | learning | |
| Abnormal Event Detection in Surveillance Videos Based on Low-Rank and Compact Coefficient Dictionary | learning | |
| Abnormal event detection via adaptive cascade dictionary | learning | |
| Abnormal Event Detection via Compact Low-Rank Sparse | learning | |
| Abnormal Odor Detection in Electronic Nose via Self-Expression Inspired Extreme | learning | Machine |
| Abnormality detection in retinal image by individualized background | learning | |
| About Combining Metric | learning | and Prototype Generation |
| Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV-LiDAR and Machine | learning | Methods |
| Aboveground Forest Biomass Estimation by the Integration of TLS and ALOS PALSAR Data Using Machine | learning | |
| Absent Multiple Kernel | learning | Algorithms |
| Absolute 3D Human Pose Estimation via Weakly-supervised | learning | |
| Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric | learning | |
| ACAE-REMIND for online continual | learning | with compressed feature replay |
| ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation | learning | |
| Accelerate | learning | of Deep Hashing With Gradient Attention |
| Accelerated Coordinate Encoding: | learning | to Relocalize in Minutes Using RGB and Poses |
| Accelerated Graph | learning | From Smooth Signals |
| Accelerated | learning | -Based Interactive Image Segmentation Using Pairwise Constraints |
| Accelerated low-rank sparse metric | learning | for person re-identification |
| Accelerated sparse nonnegative matrix factorization for unsupervised feature | learning | |
| Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine | learning | |
| Accelerating a Morphology-Preserving Adsorption Model by Deep | learning | |
| Accelerating Deep | learning | with Millions of Classes |
| Accelerating Flexible Manifold Embedding for Scalable Semi-Supervised | learning | |
| Accelerating Self-Supervised | learning | via Efficient Training Strategies |
| Accelerating the SVM | learning | for Very Large Data Sets |
| Acceleration of Kvazaar HEVC Intra Encoder With Machine | learning | |
| Accessing the Impact of Meteorological Variables on Machine | learning | Flood Susceptibility Mapping |
| Accidental Turntables: | learning | 3D Pose by Watching Objects Turn |
| Accountable Deep- | learning | -Based Vision Systems for Preterm Infant Monitoring |
| Accounting for Inter-Subject Variations in Deep | learning | for Reduced-Dose Studies in Cardiac SPECT |
| Accounting for Training Data Error in Machine | learning | Applied to Earth Observations |
| Accuracy Assessment in Convolutional Neural Network-Based Deep | learning | Remote Sensing Studies: Part 1: Literature Review |
| Accuracy Assessment in Convolutional Neural Network-Based Deep | learning | Remote Sensing Studies: Part 2: Recommendations and Best Practices |
| Accuracy improvement of handwritten numeral recognition by mirror image | learning | |
| Accuracy of Pseudo-Inverse Covariance | learning | : A Random Matrix Theory Analysis |
| Accuracy, Efficiency, and Transferability of a Deep | learning | Model for Mapping Retrogressive Thaw Slumps across the Canadian Arctic |
| Accurate 3D action recognition using | learning | on the Grassmann manifold |
| Accurate and robust face recognition from RGB-D images with a deep | learning | approach |
| accurate black lung detection using transfer | learning | based on deep neural networks, An |
| Accurate classification of nodules and non-nodules from computed tomography images based on radiomics and machine | learning | algorithms |
| Accurate Dictionary | learning | with Direct Sparsity Control |
| Accurate Facial Parts Localization and Deep | learning | for 3D Facial Expression Recognition |
| Accurate Foreground Segmentation without Pre- | learning | |
| Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature | learning | |
| Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary | learning | and compositional model |
| Accurate Prediction of Earthquake-Induced Landslides Based on Deep | learning | Considering Landslide Source Area |
| Accurate Rgb-d Salient Object Detection via Collaborative | learning | |
| Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance | learning | |
| Accurate Sparse Feature Regression Forest | learning | for Real-Time Camera Relocalization |
| Achievement-based Training Progress Balancing for Multi-Task | learning | |
| Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual | learning | |
| Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep | learning | Super-Resolution Method |
| Acknowledging the Unknown for Multi-Label | learning | with Single Positive Labels |
| ACNe: Attentive Context Normalization for Robust Permutation-Equivariant | learning | |
| Acoustic Event Detection in Speech Overlapping Scenarios Based on High-Resolution Spectral Input and Deep | learning | |
| Acoustic Scene Clustering Using Joint Optimization of Deep Embedding | learning | and Clustering Iteration |
| Acquisition of the Wide Swath Significant Wave Height from HY-2C through Deep | learning | |
| Across Scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal | learning | |
| Act the Part: | learning | Interaction Strategies for Articulated Object Part Discovery |
| ActBERT: | learning | Global-Local Video-Text Representations |
| Acting as a Decision Maker: Traffic-Condition-Aware Ensemble | learning | for Traffic Flow Prediction |
| Action anticipation using latent goal | learning | |
| Action Localization Through Continual Predictive | learning | |
| Action Modifiers: | learning | From Adverbs in Instructional Videos |
| Action Parsing-Driven Video Summarization Based on Reinforcement | learning | |
| Action Quality Assessment Using Siamese Network-Based Deep Metric | learning | |
| Action Reaction | learning | : Automatic Visual Analysis and Synthesis of Interactive Behaviour |
| Action recognition by joint | learning | |
| Action recognition by | learning | discriminative key poses |
| Action recognition by | learning | mid-level motion features |
| Action recognition by | learning | temporal slowness invariant features |
| Action Recognition From Arbitrary Views Using Transferable Dictionary | learning | |
| Action recognition in still images by | learning | spatial interest regions from videos |
| Action Recognition Using Visual Attention with Reinforcement | learning | |
| Action Sensitivity | learning | for Temporal Action Localization |
| Action Shuffle Alternating | learning | for Unsupervised Action Segmentation |
| Action Unit Detection with Region Adaptation, Multi-labeling | learning | and Optimal Temporal Fusing |
| Action-Affect-Gender Classification Using Multi-task Representation | learning | |
| Action-Based Contrastive | learning | for Trajectory Prediction |
| Action-Conditioned Convolutional Future Regression Models for Robot Imitation | learning | |
| Action-Decision Networks for Visual Tracking with Deep Reinforcement | learning | |
| Action-Reaction | learning | : Analysis and Synthesis of Human Behaviour |
| Action-State Joint | learning | -Based Vehicle Taillight Recognition in Diverse Actual Traffic Scenes |
| ActionBytes: | learning | From Trimmed Videos to Localize Actions |
| ActionFlowNet: | learning | Motion Representation for Action Recognition |
| Actionlet-Dependent Contrastive | learning | for Unsupervised Skeleton-Based Action Recognition |
| ActionSpotter: Deep Reinforcement | learning | Framework for Temporal Action Spotting in Videos |
| ActionVLAD: | learning | Spatio-Temporal Aggregation for Action Classification |
| Activate or Not: | learning | Customized Activation |
| Active Action Proposal Method Based on Reinforcement | learning | , An |
| Active and Contrastive | learning | Framework for Fine-Grained Off-Road Semantic Segmentation, An |
| Active and incremental | learning | for semantic ALS point cloud segmentation |
| Active and Semisupervised | learning | for the Classification of Remote Sensing Images |
| Active balloon model based on 3D skeleton extraction by competitive | learning | |
| active boosting-based | learning | framework for real-time hand detection, An |
| Active concept | learning | for image retrieval in dynamic databases |
| Active Concept | learning | in Image Databases |
| Active constrained fuzzy clustering: A multiple kernels | learning | approach |
| Active contour model of breast cancer DCE-MRI segmentation with an extreme | learning | machine and a fuzzy C-means cluster |
| Active Convolution: | learning | the Shape of Convolution for Image Classification |
| Active Deep | learning | Approach for Minimally Supervised PolSAR Image Classification, An |
| Active Descriptor | learning | for Feature Matching |
| Active Fire Detection from Landsat-8 Imagery Using Deep Multiple Kernel | learning | |
| Active fire detection in Landsat-8 imagery: A large-scale dataset and a deep- | learning | study |
| Active Fire Mapping on Brazilian Pantanal Based on Deep | learning | and CBERS 04A Imagery |
| Active garment recognition and target grasping point detection using deep | learning | |
| Active graph based semi-supervised | learning | using image matching: Application to handwritten digit recognition |
| Active | learning | |
| Active | learning | and discovery of object categories in the presence of unnameable instances |
| Active | learning | Approach for Statistical Spoken Language Understanding, An |
| Active | learning | approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery |
| active | learning | approach to frequent itemset-based text clustering, An |
| Active | learning | Approach to Hyperspectral Data Classification, An |
| Active | learning | approach to interactive spatio-temporal news video retrieval |
| Active | learning | Based 3D Semantic Labeling From Images and Videos |
| Active | learning | Based on Locally Linear Reconstruction |
| Active | learning | based on minimization of the expected path-length of random walks on the learned manifold structure |
| Active | learning | Based Pedestrian Detection in Real Scenes |
| Active | learning | by Feature Mixing |
| Active | learning | by Querying Informative and Representative Examples |
| Active | learning | combining uncertainty and diversity for multi-class image classification |
| Active | learning | for Bayesian 3D Hand Pose Estimation |
| Active | learning | for Crop-Weed Discrimination by Image Classification from Convolutional Neural Network's Feature Pyramid Levels |
| Active | learning | for Crowdsourced QoE Modeling |
| Active | learning | for Deep Detection Neural Networks |
| Active | learning | for Deep Object Detection via Probabilistic Modeling |
| Active | learning | for Delineation of Curvilinear Structures |
| Active | learning | for designing detectors for infrequently occurring objects in wide-area satellite imagery |
| Active | learning | for detecting a spectrally variable subject in color infrared imagery |
| Active | learning | for Dialogue Act Labelling |
| Active | learning | for Domain Adaptation in the Supervised Classification of Remote Sensing Images |
| Active | learning | for Hierarchical Pairwise Data Clustering |
| Active | learning | for high-density crowd count regression |
| Active | learning | for human action recognition with Gaussian Processes |
| Active | learning | for Human Pose Estimation |
| Active | learning | for Hyperspectral Image Classification via Hypergraph Neural Network |
| Active | learning | for Hyperspectral Image Classification with a Stacked Autoencoders Based Neural Network |
| Active | learning | for image retrieval with Co-SVM |
| Active | learning | for Imbalanced Civil Infrastructure Data |
| Active | learning | for Imbalanced Datasets |
| Active | learning | for Improved Semi-Supervised Semantic Segmentation in Satellite Images |
| Active | learning | for Interactive Multimedia Retrieval |
| Active | learning | for Interactive Segmentation with Expected Confidence Change |
| Active | learning | for Lane Detection: A Knowledge Distillation Approach |
| Active | learning | for large multi-class problems |
| Active | learning | for on-road vehicle detection: a comparative study |
| Active | learning | for Open-set Annotation |
| Active | learning | for Outdoor Perception |
| Active | learning | for piecewise planar 3D reconstruction |
| Active | learning | for Recognition of Shipwreck Target in Side-Scan Sonar Image |
| Active | learning | for Regression With Correlation Matching and Labeling Error Suppression |
| Active | learning | for semantic segmentation with expected change |
| Active | learning | for Solving the Incomplete Data Problem in Facial Age Classification by the Furthest Nearest-Neighbor Criterion |
| Active | learning | for structured probabilistic models with histogram approximation |
| Active | learning | for tag recommendation utilizing on-line photos lacking tags |
| Active | learning | for the Classification of Species in Underwater Images from a Fixed Observatory |
| Active | learning | for Video Description with Cluster-regularized Ensemble Ranking |
| Active | learning | from Video Streams in a Multi-camera Scenario |
| Active | learning | Image Spam Hunter |
| Active | learning | in Context-Driven Stream Mining With an Application to Image Mining |
| Active | learning | in Face Recognition: Using Tracking to Build a Face Model |
| Active | learning | in the Spatial Domain for Remote Sensing Image Classification |
| active | learning | method based on result quality evaluation for printed circuit board computed tomography image segmentation, An |
| Active | learning | Methods for Interactive Image Retrieval |
| Active | learning | of an Action Detector from Untrimmed Videos |
| Active | learning | of custom sound taxonomies in unstructured audio data |
| Active | learning | of Ensemble Classifiers for Gesture Recognition |
| Active | learning | of user's preferences estimation towards a personalized 3D navigation of geo-referenced scenes |
| Active | learning | Paradigm for Online Audio-Visual Emotion Recognition, An |
| Active | learning | Paradigms for CBIR Systems Based on Optimum-Path Forest Classification |
| Active | learning | Strategies for Weakly-Supervised Object Detection |
| Active | learning | through notes data in Flickr: an effortless training data acquisition approach for object localization |
| Active | learning | to Extend Training Data for Large Area Airborne Lidar Classification |
| Active | learning | to recognize multiple types of plankton |
| Active | learning | using Dirichlet Processes for Rare Class Discovery and Classification |
| Active | learning | using uncertainty information |
| Active | learning | via local structure reconstruction |
| Active | learning | with adaptive regularization |
| Active | learning | with Bootstrapped Dendritic Classifier applied to medical image segmentation |
| Active | learning | With Co-Auxiliary Learning and Multi-Level Diversity for Image Classification |
| Active | learning | With Co-Auxiliary Learning and Multi-Level Diversity for Image Classification |
| Active | learning | With Complementary Sampling for Instructing Class-Biased Multi-Label Text Emotion Classification |
| Active | learning | With Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach |
| Active | learning | With Gaussian Process Classifier for Hyperspectral Image Classification |
| Active | learning | with Gaussian Processes for Object Categorization |
| Active | learning | with Label Correlation Exploration for Multi-Label Image Classification |
| Active | learning | with multi-criteria decision making systems |
| Active | learning | with n-ary Queries for Image Recognition |
| Active | learning | with Support Vector Machines in Remotely Sensed Image Classification |
| Active | learning | with Support Vector Machines in the Relevance Feedback Document Retrieval |
| Active | learning | with the Furthest Nearest Neighbor Criterion for Facial Age Estimation |
| Active | learning | with uncertain labeling knowledge |
| Active | learning | -Based Optimized Training Library Generation for Object-Oriented Image Classification |
| active | learning | -based SVM multi-class classification model, An |
| Active | learning | -Driven Siamese Network for Hyperspectral Image Classification |
| Active | learning | : Any Value for Classification of Remotely Sensed Data? |
| Active lighting | learning | for 3D model based vehicle tracking |
| Active Machine | learning | Approach for Crater Detection From Planetary Imagery and Digital Elevation Models |
| Active Metric | learning | for Object Recognition |
| Active Object Localization with Deep Reinforcement | learning | |
| Active Online | learning | for Interactive Segmentation Using Sparse Gaussian Processes |
| Active Pairwise Constraint | learning | in Constrained Time-Series Clustering for Crop Mapping from Airborne SAR Imagery |
| Active privileged | learning | of human activities from weakly labeled samples |
| Active Self-Paced | learning | for Cost-Effective and Progressive Face Identification |
| Active Semi-supervised | learning | Using Optimum-Path Forest |
| Active Structured | learning | for Cell Tracking: Algorithm, Framework, and Usability |
| Active Structured | learning | for High-Speed Object Detection |
| Active subspace | learning | |
| Active Surveillance via Group Sparse Bayesian | learning | |
| Active Transfer | learning | |
| Active transfer | learning | for multi-view head-pose classification |
| Active Transfer | learning | Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification |
| Active Transfer | learning | Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification |
| Active Transfer | learning | with Zero-Shot Priors: Reusing Past Datasets for Future Tasks |
| Active- | learning | Approaches for Landslide Mapping Using Support Vector Machines |
| Active- | learning | based cascade classification of multitemporal images for updating land-cover maps |
| Active-Metric | learning | for Classification of Remotely Sensed Hyperspectral Images |
| Actively | learning | Human Gaze Shifting Paths for Semantics-Aware Photo Cropping |
| Actively Seeking and | learning | From Live Data |
| ActiveMatch: End-To-End Semi-Supervised Active Representation | learning | |
| ActiveNeRF: | learning | Where to See with Uncertainty Estimation |
| ActiveStereoNet: End-to-End Self-supervised | learning | for Active Stereo Systems |
| ActiveZero++: Mixed Domain | learning | Stereo and Confidence-Based Depth Completion With Zero Annotation |
| ActiveZero: Mixed Domain | learning | for Active Stereovision with Zero Annotation |
| Activities of IAPR: TC-2, | learning | , Representation and Visualization of Intelligent Pattern Recognition |
| Activity recognition by | learning | structural and pairwise mid-level features using random forest |
| Activity-Based Person Identification Using Discriminative Sparse Projections and Orthogonal Ensemble Metric | learning | |
| ACTNET: End-to-End | learning | of Feature Activations and Multi-stream Aggregation for Effective Instance Image Retrieval |
| Actor-Aware Self-Supervised | learning | for Semi-Supervised Video Representation Learning |
| Actor-Aware Self-Supervised | learning | for Semi-Supervised Video Representation Learning |
| AD-VAT+: An Asymmetric Dueling Mechanism for | learning | and Understanding Visual Active Tracking |
| AdaAfford: | learning | to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions |
| AdaBest: Minimizing Client Drift in Federated | learning | via Adaptive Bias Estimation |
| AdaBoost | learning | for Human Detection Based on Histograms of Oriented Gradients |
| AdaBoost on low-rank PSD matrices for metric | learning | |
| AdaConfigure: Reinforcement | learning | -Based Adaptive Configuration for Video Analytics Services |
| AdaCos: Adaptively Scaling Cosine Logits for Effectively | learning | Deep Face Representations |
| AdaFit: Rethinking | learning | -based Normal Estimation on Point Clouds |
| AdaInt: | learning | Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement |
| AdaMAE: Adaptive Masking for Efficient Spatiotemporal | learning | with Masked Autoencoders |
| AdaMKL: A Novel Biconvex Multiple Kernel | learning | Approach |
| AdaMML: Adaptive Multi-Modal | learning | for Efficient Video Recognition |
| AdaMT-Net: An Adaptive Weight | learning | Based Multi-Task Learning Model For Scene Understanding |
| AdaMT-Net: An Adaptive Weight | learning | Based Multi-Task Learning Model For Scene Understanding |
| AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task | learning | |
| AdaNS: Adaptive negative sampling for unsupervised graph representation | learning | |
| AdaPool: A Diurnal-Adaptive Fleet Management Framework Using Model-Free Deep Reinforcement | learning | and Change Point Detection |
| Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual | learning | |
| Adaptation and | learning | for Image Based Navigation |
| Adaptation and Re-identification Network: An Unsupervised Deep Transfer | learning | Approach to Person Re-identification |
| Adaptation Approaches in Unsupervised | learning | : A Survey of the State-of-the-Art and Future Directions |
| Adaptation Strategies for Automated Machine | learning | on Evolving Data |
| Adapting instance weights for unsupervised domain adaptation using quadratic mutual information and subspace | learning | |
| Adaptive active appearance model with incremental | learning | |
| Adaptive Active | learning | for Image Classification |
| Adaptive ADMM for Dictionary | learning | in Convolutional Sparse Representation |
| Adaptive Aggregation Networks for Class-Incremental | learning | |
| Adaptive Anchor Label Propagation for Transductive Few-Shot | learning | |
| Adaptive and Robust Partition | learning | for Person Retrieval With Policy Gradient |
| Adaptive appearance | learning | for human pose estimation |
| Adaptive Appearance Modeling With Point-to-Set Metric | learning | for Visual Tracking |
| Adaptive Bias-Aware Feature Generation for Generalized Zero-Shot | learning | |
| Adaptive cascade threshold | learning | from negative samples for deformable part models |
| Adaptive Channel Sparsity for Federated | learning | under System Heterogeneity |
| Adaptive Classifier Selection Based on Two Level Hypothesis Tests for Incremental | learning | |
| Adaptive Computer Vision: Online | learning | for Object Recognition |
| Adaptive Confidence Smoothing for Generalized Zero-Shot | learning | |
| adaptive conscientious competitive | learning | algorithm and its applications, An |
| Adaptive Consistency Regularization for Semi-Supervised Transfer | learning | |
| Adaptive Convolution Local and Global | learning | for Class-Level Joint Representation of Face Recognition with Single Sample Per Person |
| Adaptive cooperative exploration for reinforcement | learning | from imperfect demonstrations |
| Adaptive Cross-Domain | learning | for Generalizable Person Re-identification |
| Adaptive CU Size Decision Algorithm for HEVC Intra Prediction Based on Complexity Classification Using Machine | learning | , An |
| Adaptive Curriculum | learning | |
| Adaptive Cyclopean Image-Based Stereoscopic Image-Quality Assessment Using Ensemble | learning | |
| Adaptive Data Collection and Offloading in Multi-UAV-Assisted Maritime IoT Systems: A Deep Reinforcement | learning | Approach |
| Adaptive Decision Forest: An incremental machine | learning | framework |
| Adaptive Decision Systems with Extended | learning | for Deployment in Partially Exposed Environments |
| Adaptive deconvolutional networks for mid and high level feature | learning | |
| Adaptive Deep Cascade Broad | learning | System and Its Application in Image Denoising |
| Adaptive Deep Disturbance-Disentangled | learning | for Facial Expression Recognition |
| Adaptive Deep | learning | for High-Speed Railway Catenary Swivel Clevis Defects Detection |
| Adaptive Deep Metric | learning | for Affective Image Retrieval and Classification |
| Adaptive Deep Metric | learning | for Identity-Aware Facial Expression Recognition |
| Adaptive Deep Reinforcement | learning | -Based In-Loop Filter for VVC |
| Adaptive Dictionary | learning | in Sparse Gradient Domain for Image Recovery |
| Adaptive Differential Filters for Fast and Communication-Efficient Federated | learning | |
| Adaptive discriminant | learning | for face recognition |
| Adaptive discriminative metric | learning | for facial expression recognition |
| Adaptive Distance Metric | learning | for Clustering |
| Adaptive Distillation for Decentralized | learning | from Heterogeneous Clients |
| Adaptive Distribution | learning | with Statistical Hypothesis Testing for COVID-19 CT Scan Classification |
| Adaptive e- | learning | system based on learning style and ant colony optimization |
| Adaptive e- | learning | system based on learning style and ant colony optimization |
| Adaptive Early- | learning | Correction for Segmentation from Noisy Annotations |
| Adaptive Embedding Network with Spatial Constraints for the Use of Few-Shot | learning | in Endangered-Animal Detection, An |
| Adaptive Feature | learning | for Unbiased Scene Graph Generation |
| Adaptive Filter for Deep | learning | Networks on Large-Scale Point Cloud, An |
| Adaptive Fine-Grained Predicates | learning | for Scene Graph Generation |
| Adaptive Focal Loss Function Based on Transfer | learning | for Few-Shot Radar Signal Intra-Pulse Modulation Classification, An |
| Adaptive Fusion by Reinforcement | learning | for Distributed Detection Systems |
| Adaptive generic | learning | for face recognition from a single sample per person |
| Adaptive Global-Local Representation | learning | and Selection for Cross-Domain Facial Expression Recognition |
| Adaptive graph fusion | learning | for multi-view spectral clustering |
| Adaptive Graph Guided Disambiguation for Partial Label | learning | |
| Adaptive Graph | learning | for Unsupervised Feature Selection |
| adaptive graph | learning | method based on dual data representations for clustering, An |
| Adaptive Graph Representation | learning | for Video Person Re-Identification |
| Adaptive Hierarchical Representation | learning | for Long-Tailed Object Detection |
| Adaptive Hierarchical Similarity Metric | learning | With Noisy Labels |
| Adaptive Hypergraph | learning | and its Application in Image Classification |
| Adaptive hypergraph | learning | with multi-stage optimizations for image and tag recommendation |
| adaptive image compression algorithm based on joint clustering algorithm and deep | learning | , An |
| Adaptive image decomposition via dictionary | learning | with stuctural incoherence |
| Adaptive Image Sampling Using Deep | learning | and Its Application on X-Ray Fluorescence Image Reconstruction |
| Adaptive Importance | learning | for Improving Lightweight Image Super-Resolution Network |
| Adaptive Incremental | learning | with an Ensemble of Support Vector Machines |
| Adaptive instance similarity embedding for online continual | learning | |
| Adaptive Iterative | learning | Control for High-Speed Train: A Multi-Agent Approach |
| Adaptive iterative | learning | control for SISO discrete time-varying systems |
| Adaptive Iterative | learning | Control for Subway Trains Using Multiple-Point-Mass Dynamic Model Under Speed Constraint |
| Adaptive Iterative | learning | Kalman Consensus Filtering for High-Speed Train Identification and Estimation |
| Adaptive Kalman Filtering for Histogram-Based Appearance | learning | in Infrared Imagery |
| Adaptive kernel | learning | based on centered alignment for hierarchical classification |
| Adaptive kernel | learning | for detection of clustered microcalcifications in mammograms |
| Adaptive Labeling For Hash Code | learning | Via Neural Networks |
| Adaptive Ladder Loss for | learning | Coherent Visual-Semantic Embedding |
| Adaptive Latent Graph Representation | learning | for Image-Text Matching |
| Adaptive Latent Representation for Multi-view Subspace | learning | |
| Adaptive | learning | Approach for Tropical Cyclone Intensity Correction, An |
| Adaptive | learning | codebook for action recognition |
| Adaptive | learning | Concepts and Methodology for Enhanced Recognition System Performance |
| Adaptive | learning | control with spatially-periodic and unknown random disturbances |
| Adaptive | learning | cost-sensitive convolutional neural network |
| Adaptive | learning | feature pyramid for object detection |
| Adaptive | learning | for Celebrity Identification With Video Context |
| Adaptive | learning | for event modeling and characterization |
| Adaptive | learning | for Target Tracking and True Linking Discovering Across Multiple Non-Overlapping Cameras |
| adaptive | learning | method for face hallucination using Locality Preserving Projections, An |
| adaptive | learning | method for target tracking across multiple cameras, An |
| Adaptive | learning | of an accurate skin-color model |
| Adaptive | learning | of minority class prior to minority oversampling |
| Adaptive | learning | of multi-subspace for foreground detection under illumination changes |
| Adaptive | learning | of Statistical Appearance Models for 3D Human Tracking |
| Adaptive | learning | Procedure for a Network of Spiking Neurons and Visual Pattern Recognition |
| Adaptive | learning | Rate for Online Linear Discriminant Classifiers |
| Adaptive | learning | Rate Method for Improving Adaptability of Background Models, An |
| Adaptive | learning | region importance for region-based image retrieval |
| Adaptive | learning | Unet-based adversarial network with CNN and transformer for segmentation of hard exudates in diabetes retinopathy |
| Adaptive | learning | Vector Quantizers for Image Compression |
| Adaptive | learning | -Based Approach for Nearly Optimal Dynamic Charging of Electric Vehicle Fleets, An |
| adaptive machine | learning | approach to improve automatic iceberg detection from SAR images, An |
| Adaptive machine | learning | strategies for network calibration of IoT smart air quality monitoring devices |
| Adaptive Manifold | learning | |
| Adaptive Matrix Sketching and Clustering for Semisupervised Incremental | learning | |
| Adaptive Metric | learning | and Probe-Specific Reranking for Person Reidentification |
| Adaptive Metric | learning | for People Re-Identification |
| Adaptive Metric | learning | for Saliency Detection |
| Adaptive Metric | learning | For Zero-Shot Recognition |
| Adaptive Metric | learning | in Local Distance Comparison for People Re-identification |
| Adaptive Metro Service Schedule and Train Composition With a Proximal Policy Optimization Approach Based on Deep Reinforcement | learning | |
| Adaptive Modulation and Coding for Underwater Acoustic Communications Based on Data-Driven | learning | Algorithm |
| Adaptive Multi-Projection Metric | learning | for Person Re-Identification Across Non-Overlapping Cameras, An |
| Adaptive multi-task | learning | for fine-grained categorization |
| Adaptive Multiview Active | learning | Approach for Spectral-Spatial Classification of Hyperspectral Images, An |
| Adaptive Mutual | learning | for Unsupervised Domain Adaptation |
| Adaptive Neighborhood Metric | learning | |
| Adaptive Neural Connections for Sparsity | learning | |
| Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement | learning | |
| Adaptive Object Detection Based on Modified Hebbian | learning | |
| Adaptive object tracking by | learning | background context |
| Adaptive Object Tracking by | learning | Hybrid Template Online |
| Adaptive Online Mutual | learning | Bi-Decoders for Video Object Segmentation |
| Adaptive Partial Differential Equation | learning | for Visual Saliency Detection |
| Adaptive Partial Reinforcement | learning | Neural Network-Based Tracking Control for Wheeled Mobile Robotic Systems |
| Adaptive pen user interface with supervised competitive | learning | |
| Adaptive Piecewise Linear Predistorter Based on PSO and Indirect | learning | Architecture |
| Adaptive Plasticity Improvement for Continual | learning | |
| Adaptive Pooling in Multi-instance | learning | for Web Video Annotation |
| Adaptive Posit: Parameter aware numerical format for deep | learning | inference on the edge |
| Adaptive Privacy Preserving Deep | learning | Algorithms for Medical Data |
| Adaptive Progressive Continual | learning | |
| Adaptive proposal network based on generative adversarial | learning | for weakly supervised temporal sentence grounding |
| Adaptive Prototype | learning | and Allocation for Few-Shot Segmentation |
| Adaptive Proxy Anchor Loss for Deep Metric | learning | |
| Adaptive Registration of Remote Sensing Images using Supervised | learning | |
| Adaptive Regularization in Image Restoration by Unsupervised | learning | |
| Adaptive regularizer | learning | for low rank approximation with application to image denoising |
| Adaptive Remote Sensing Image Attribute | learning | for Active Object Detection |
| Adaptive reweighted quaternion sparse | learning | for data recovery and classification |
| Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions Using Reinforcement | learning | |
| Adaptive road detection through continuous environment | learning | |
| Adaptive ROI generation for video object segmentation using reinforcement | learning | |
| Adaptive Safe Reinforcement | learning | With Full-State Constraints and Constrained Adaptation for Autonomous Vehicles |
| Adaptive Sample Selection for Robust | learning | under Label Noise |
| Adaptive Scene Category Discovery With Generative | learning | and Compositional Sampling |
| Adaptive Semi-Supervised Mixup with Implicit Label | learning | and Sample Ratio Balancing |
| Adaptive Similarity Bootstrapping for Self-Distillation based Representation | learning | |
| Adaptive Soft Contrastive | learning | |
| Adaptive Sparse Vector Tracking Via Online Bayesian | learning | |
| Adaptive sparseness for supervised | learning | |
| Adaptive Spatial-Spectral Dictionary | learning | for Hyperspectral Image Denoising |
| Adaptive Spatial-Spectral Dictionary | learning | for Hyperspectral Image Restoration |
| Adaptive spatial-temporal surrounding-aware correlation filter tracking via ensemble | learning | |
| Adaptive Spatiotemporal Dependence | learning | for Multi-Mode Transportation Demand Prediction |
| Adaptive Spiral Layers for Efficient 3D Representation | learning | on Meshes |
| adaptive streaming active | learning | strategy based on instance weighting, An |
| Adaptive Streaming of 360-Degree Videos with Reinforcement | learning | |
| Adaptive structure | learning | for low-rank supervised feature selection |
| Adaptive Subspaces for Few-Shot | learning | |
| Adaptive Superpixel for Active | learning | in Semantic Segmentation |
| Adaptive SVM+: | learning | with Privileged Information for Domain Adaptation |
| Adaptive Target Recognition Using Reinforcement | learning | |
| Adaptive Task Sampling for Meta- | learning | |
| Adaptive Temporal Difference | learning | With Linear Function Approximation |
| Adaptive Traffic Light Control With Deep Reinforcement | learning | : An Evaluation of Traffic Flow and Energy Consumption |
| Adaptive traffic signal control system using composite reward architecture based deep reinforcement | learning | |
| Adaptive Traffic Signal Control With Deep Reinforcement | learning | and High Dimensional Sensory Inputs: Case Study and Comprehensive Sensitivity Analyses |
| Adaptive Transfer Kernel | learning | for Transfer Gaussian Process Regression |
| Adaptive Ultrasound Beamforming Using Deep | learning | |
| Adaptive Variance Based Label Distribution | learning | for Facial Age Estimation |
| Adaptive Video Highlight Detection by | learning | from User History |
| Adaptive visual target detection and tracking using incremental appearance | learning | |
| Adaptive visual target detection and tracking using weakly supervised incremental appearance | learning | and RGM-PHD tracker |
| Adaptive visual tracking using the prioritized Q- | learning | algorithm: MDP-based parameter learning approach |
| Adaptive visual tracking using the prioritized Q- | learning | algorithm: MDP-based parameter learning approach |
| Adaptive Vocabulary Forests for Dynamic Indexing and Category | learning | |
| Adaptive Web-based | learning | Environment For The Application Of Remote Sensing In Schools, An |
| Adaptive weighted | learning | for linear regression problems via Kullback-Leibler divergence |
| Adaptive Weighted Losses With Distribution Approximation for Efficient Consistency-Based Semi-Supervised | learning | |
| Adaptive-order proximity | learning | for graph-based clustering |
| Adaptively Clustering-Driven | learning | for Visual Relationship Detection |
| Adaptively feature | learning | for effective power defense |
| Adaptively | learning | Facial Expression Representation via C-F Labels and Distillation |
| Adaptively Unified Semi-Supervised Dictionary | learning | with Active Points |
| Adaptively weighted | learning | method for magnetic resonance fingerprinting |
| AdarGCN: Adaptive Aggregation GCN for Few-Shot | learning | |
| ADCNN: Towards | learning | adaptive dilation for convolutional neural networks |
| AdCo: Adversarial Contrast for Efficient | learning | of Unsupervised Representations from Self-Trained Negative Adversaries |
| AdderNet: Do We Really Need Multiplications in Deep | learning | ? |
| Adding Distance Information to Self-Supervised | learning | for rich Representations |
| Additive Adversarial | learning | for Unbiased Authentication |
| Addressing Class Imbalance in Scene Graph Parsing by | learning | to Contrast and Score |
| Addressing Heterogeneity in Federated | learning | via Distributional Transformation |
| Addressing Target Shift in Zero-shot | learning | using Grouped Adversarial Learning |
| Addressing Target Shift in Zero-shot | learning | using Grouped Adversarial Learning |
| Addressing the Big Data Multi-class Imbalance Problem with Oversampling and Deep | learning | Neural Networks |
| Addressing the Overfitting in Partial Domain Adaptation With Self-Training and Contrastive | learning | |
| Adjacency Constraint for Efficient Hierarchical Reinforcement | learning | |
| Adjoint-Driven Deep- | learning | Seismic Full-Waveform Inversion |
| Adjusting the Ground Truth Annotations for Connectivity-Based | learning | to Delineate |
| Adjustment | learning | and Relevant Component Analysis |
| ADMM-CSNet: A Deep | learning | Approach for Image Compressive Sensing |
| Adopting Self-Supervised | learning | into Unsupervised Video Summarization through Restorative Score. |
| ADPL: Adaptive Dual Path | learning | for Domain Adaptation of Semantic Segmentation |
| Advance flood detection and notification system based on sensor technology and machine | learning | algorithm |
| Advanced deep | learning | for image super-resolution |
| Advanced deep | learning | techniques for image style transfer: A survey |
| Advanced Deep Network with Attention and Genetic-Driven Reinforcement | learning | Layer for an Efficient Cancer Treatment Outcome Prediction |
| Advanced Deep- | learning | Techniques for Salient and Category-Specific Object Detection: A Survey |
| Advanced Financial Data Processing and Labeling Methods for Machine | learning | |
| Advanced Machine | learning | and Big Data Analytics in Remote Sensing for Natural Hazards Management |
| Advanced Machine | learning | and Deep Learning Approaches for Remote Sensing |
| Advanced Machine | learning | and Deep Learning Approaches for Remote Sensing |
| Advanced Machine | learning | Methods for Major Hurricane Forecasting |
| Advanced Machine | learning | Optimized by The Genetic Algorithm in Ionospheric Models Using Long-Term Multi-Instrument Observations |
| Advanced SAR Image Despeckling Method by Bernoulli-Sampling-Based Self-Supervised Deep | learning | , An |
| Advances and Challenges in Deep | learning | -Based Change Detection for Remote Sensing Images: A Review through Various Learning Paradigms |
| Advances and Challenges in Deep | learning | -Based Change Detection for Remote Sensing Images: A Review through Various Learning Paradigms |
| Advances in deep | learning | -based image recognition of product packaging |
| Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical | learning | Methods |
| Advances in Remote Sensing Technology, Machine | learning | and Deep Learning for Marine Oil Spill Detection, Prediction and Vulnerability Assessment |
| Advances in Remote Sensing Technology, Machine | learning | and Deep Learning for Marine Oil Spill Detection, Prediction and Vulnerability Assessment |
| Advances in Seismic Data Compression via | learning | from Data: Compression for Seismic Data Acquisition |
| Advancing | learning | Assignments in Remote Sensing of the Environment Through Simulation Games |
| Advancing of Land Surface Temperature Retrieval Using Extreme | learning | Machine and Spatio-Temporal Adaptive Data Fusion Algorithm |
| Advancing Radar Nowcasting Through Deep Transfer | learning | |
| Advantages of Using Transfer | learning | Technology with a Quantative Measurement |
| Adversarial approach to domain adaptation for reinforcement | learning | on dialog systems |
| Adversarial Attack and Defense on Deep | learning | for Air Transportation Communication Jamming |
| Adversarial Attack on Deep | learning | -Based Splice Localization |
| Adversarial Attacks and Defenses in Deep | learning | : From a Perspective of Cybersecurity |
| Adversarial Attacks in Underwater Acoustic Target Recognition with Deep | learning | Models |
| Adversarial Attacks on Deep | learning | -Based DOA Estimation With Covariance Input |
| Adversarial Biometric Recognition: A review on biometric system security from the adversarial machine- | learning | perspective |
| Adversarial co-distillation | learning | for image recognition |
| Adversarial Collaborative- | learning | Approach for Corneal Scar Segmentation with Ocular Anterior Segment Photography, An |
| Adversarial Complementary | learning | for Weakly Supervised Object Localization |
| Adversarial Confidence | learning | for Medical Image Segmentation and Synthesis |
| Adversarial Continual | learning | to Transfer Self-Supervised Speech Representations for Voice Pathology Detection |
| Adversarial Continuous | learning | in Unsupervised Domain Adaptation |
| Adversarial Contrastive | learning | via Asymmetric InfoNCE |
| Adversarial Decoupling and Modality-Invariant Representation | learning | for Visible-Infrared Person Re-Identification |
| Adversarial Deep | learning | in EEG Biometrics |
| Adversarial Deep Multi-Task | learning | Using Semantically Orthogonal Spaces and Application to Facial Attributes Prediction |
| Adversarial Defense via | learning | to Generate Diverse Attacks |
| Adversarial Dense Contrastive | learning | for Semi-Supervised Semantic Segmentation |
| Adversarial Distillation for | learning | with Privileged Provisions |
| Adversarial Examples for Good: Adversarial Examples Guided Imbalanced | learning | |
| Adversarial feature distribution alignment for semi-supervised | learning | |
| Adversarial Feature Hallucination Networks for Few-Shot | learning | |
| Adversarial Feature | learning | and Unsupervised Clustering Based Speech Synthesis for Found Data With Acoustic and Textual Noise |
| Adversarial Fine-Grained Composition | learning | for Unseen Attribute-Object Recognition |
| Adversarial Framework for Unsupervised | learning | of Motion Dynamics in Videos |
| Adversarial Invariant | learning | |
| Adversarial Joint-Distribution | learning | for Novel Class Sketch-Based Image Retrieval |
| Adversarial Joint- | learning | Recurrent Neural Network for Incomplete Time Series Classification |
| Adversarial | learning | and decomposition-based domain generalization for face anti-spoofing |
| Adversarial | learning | based attentional scene text recognizer |
| Adversarial | learning | Domain-Invariant Conditional Features for Robust Face Anti-spoofing |
| Adversarial | learning | for Depth and Viewpoint Estimation From a Single Image |
| Adversarial | learning | for Joint Optimization of Depth and Ego-Motion |
| Adversarial | learning | for modeling human motion |
| Adversarial | learning | for Multiscale Crowd Counting Under Complex Scenes |
| Adversarial | learning | for Personalized Tag Recommendation |
| Adversarial | learning | for viewpoints invariant 3D human pose estimation |
| Adversarial | learning | for Visual Storytelling with Sense Group Partition |
| Adversarial | learning | for Zero-shot Domain Adaptation |
| Adversarial | learning | Guided Task Relatedness Refinement for Multi-Task Deep Learning |
| Adversarial | learning | Guided Task Relatedness Refinement for Multi-Task Deep Learning |
| Adversarial | learning | of Object-Aware Activation Map for Weakly-Supervised Semantic Segmentation |
| Adversarial | learning | of Structure-Aware Fully Convolutional Networks for Landmark Localization |
| Adversarial | learning | Semantic Volume for 2D/3D Face Shape Regression in the Wild |
| Adversarial | learning | Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses Against Attacks |
| Adversarial | learning | With Margin-Based Triplet Embedding Regularization |
| Adversarial | learning | , GAN, Re-Identification Issues, Pedestrian Tracking |
| Adversarial | learning | -Based Semantic Correlation Representation for Cross-Modal Retrieval |
| Adversarial Machine | learning | Attacks Against Video Anomaly Detection Systems |
| Adversarial Machine | learning | in Computer Vision |
| Adversarial Machine | learning | in Image Classification: A Survey Toward the Defender's Perspective |
| Adversarial Machine | learning | : Attacks From Laboratories to the Real World |
| Adversarial Meta-Training Framework for Cross-Domain Few-Shot | learning | , An |
| Adversarial Metric | learning | with Naive Similarity Discriminator |
| Adversarial Networks for Transfer | learning | , Domain Adaption |
| Adversarial Neuro-Tensorial Approach for | learning | Disentangled Representations, An |
| Adversarial Noise Attacks of Deep | learning | Architectures: Stability Analysis via Sparse-Modeled Signals |
| Adversarial Reciprocal Points | learning | for Open Set Recognition |
| Adversarial Reinforcement | learning | for Unsupervised Domain Adaptation |
| Adversarial Reinforcement | learning | With Object-Scene Relational Graph for Video Captioning |
| Adversarial Remote Sensing Scene Classification Based on Lie Group Feature | learning | |
| Adversarial Representation | learning | for Dynamic Scene Deblurring: A Simple, Fast and Robust Approach |
| Adversarial Representation | learning | for Hyperspectral Image Classification with Small-Sized Labeled Set |
| Adversarial Representation | learning | for Text-to-Image Matching |
| Adversarial Sampling for Active | learning | |
| Adversarial Self-Supervised | learning | for Robust SAR Target Recognition |
| Adversarial Self-supervised | learning | for Semi-Supervised 3d Action Recognition |
| Adversarial Shape | learning | for Building Extraction in VHR Remote Sensing Images |
| Adversarial Spatial Frequency Domain Critic | learning | for Age and Gender Classification |
| Adversarial Spatio-Temporal | learning | for Video Deblurring |
| Adversarial Transfer | learning | for Deep Learning Based Automatic Modulation Classification |
| Adversarial Transfer | learning | for Deep Learning Based Automatic Modulation Classification |
| Adversarial Unsupervised Domain Adaptation for 3D Semantic Segmentation with Multi-Modal | learning | |
| Adversarial View Confusion Feature | learning | for Person Re-Identification |
| Adversarial-Metric | learning | for Audio-Visual Cross-Modal Matching |
| Adversarially-Regularized Mixed Effects Deep | learning | (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data |
| Advisable | learning | for Self-Driving Vehicles by Internalizing Observation-to-Action Rules |
| AdvisIL - A Class-Incremental | learning | Advisor |
| Ae Textspotter: | learning | Visual and Linguistic Representation for Ambiguous Text Spotting |
| AE-GAN-Net: | learning | Invariant Feature Descriptor to Match Ground Camera Images and a Large-Scale 3D Image-Based Point Cloud for Outdoor Augmented Reality |
| AEM: Attentional Ensemble Model for personalized classifier weight | learning | |
| AEnet: Automatic Picking of P-Wave First Arrivals Using Deep | learning | |
| AENet: | learning | Deep Audio Features for Video Analysis |
| Aerial Image Dehazing Using Reinforcement | learning | |
| Aerial image matching method based on HSI hash | learning | |
| Aerial Imagery Paddy Seedlings Inspection Using Deep | learning | |
| Aerial Imagery-Based Building Footprint Detection with an Integrated Deep | learning | Framework: Applications for Fine Scale Wildland-Urban Interface Mapping |
| Aerial Photogrammetry and Machine | learning | Based Regional Landslide Susceptibility Assessment for An Earthquake Prone Area In Turkey |
| Aerial Point Cloud Classification With Deep | learning | and Machine Learning Algorithms |
| Aerial Point Cloud Classification With Deep | learning | and Machine Learning Algorithms |
| Aerodrome situational awareness of unmanned aircraft: an integrated self- | learning | approach with Bayesian network semantic segmentation |
| Aesthetic Photo Collage With Deep Reinforcement | learning | |
| AET vs. AED: Unsupervised Representation | learning | by Auto-Encoding Transformations Rather Than Data |
| AFD-Net: Aggregated Feature Difference | learning | for Cross-Spectral Image Patch Matching |
| Affect and Engagement in Game-Based | learning | Environments |
| Affect Estimation in 3D Space Using Multi-Task Active | learning | for Regression |
| Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric | learning | |
| Affection: | learning | Affective Explanations for Real-World Visual Data |
| Affective Dynamics and Cognition During Game-Based | learning | |
| Affective Expression Analysis in-the-wild using Multi-Task Temporal Statistical Deep | learning | Model |
| Affective | learning | : Empathetic Agents with Emotional Facial and Tone of Voice Expressions |
| Affective level design for a role-playing videogame evaluated by a brain-computer interface and machine | learning | methods |
| AffectiveNet: Affective-Motion Feature | learning | for Microexpression Recognition |
| Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter | learning | of Elliptical Distributions |
| Affine Non-Negative Collaborative Representation for Deep Metric | learning | |
| Affine-invariant contours recognition using an incremental hybrid | learning | approach |
| Affinity CNN: | learning | Pixel-Centric Pairwise Relations for Figure/Ground Embedding |
| Affinity | learning | on a tensor product graph with applications to shape and image retrieval |
| Affinity | learning | via a diffusion process for subspace clustering |
| Affinity | learning | via self-diffusion for image segmentation and clustering |
| Affinity | learning | with Diffusion on Tensor Product Graph |
| Affordance Transfer | learning | for Human-Object Interaction Detection |
| AFL-Net: Attentional Feature | learning | Network for Building Extraction from Remote Sensing Images |
| AG-Meta: Adaptive graph meta- | learning | via representation consistency over local subgraphs |
| AG3D: | learning | to Generate 3D Avatars from 2D Image Collections |
| AGDF-Net: | learning | Domain Generalizable Depth Features With Adaptive Guidance Fusion |
| Age Estimation from Faces Using Deep | learning | : A Comparative Analysis |
| Age estimation in facial images through transfer | learning | |
| Age Factor Removal Network Based on Transfer | learning | and Adversarial Learning for Cross-Age Face Recognition |
| Age Factor Removal Network Based on Transfer | learning | and Adversarial Learning for Cross-Age Face Recognition |
| Age from Faces in the Deep | learning | Revolution |
| Age Prediction From Face Images Via Contrastive | learning | |
| AgentI2P: Optimizing Image-to-Point Cloud Registration via Behaviour Cloning and Reinforcement | learning | |
| AggNet: Deep | learning | From Crowds for Mitosis Detection in Breast Cancer Histology Images |
| Aggregating the temporal coherent descriptors in videos using multiple | learning | kernel for action recognition |
| AGIL: | learning | Attention from Human for Visuomotor Tasks |
| Aging Face Recognition: A Hierarchical | learning | Model Based on Local Patterns Selection |
| AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric | learning | |
| Agree to Disagree: When Deep | learning | Models With Identical Architectures Produce Distinct Explanations |
| Agreement and Disagreement-Based Co- | learning | with Dual Network for Hyperspectral Image Classification with Noisy Labels |
| Agreement or Disagreement in Noise-tolerant Mutual | learning | ? |
| AgriSen-COG, a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep | learning | |
| AGRNet: Adaptive Graph Representation | learning | and Reasoning for Face Parsing |
| AI Benchmark: All About Deep | learning | on Smartphones in 2019 |
| AI Goggles: Real-time Description and Retrieval in the Real World with Online | learning | |
| AI Hunts for Hidden Minerals: Machine | learning | is Uncovering Hoards of Vital EV Battery Metals |
| AI Playground: Unreal Engine-based Data Ablation Tool for Deep | learning | |
| AI-Empowered Trajectory Anomaly Detection for Intelligent Transportation Systems: A Hierarchical Federated | learning | Approach |
| Air Quality Index Forecasting via Deep Dictionary | learning | |
| Air Temperature Monitoring over Low Latitude Rice Planting Areas: Combining Remote Sensing, Model Assimilation, and Machine | learning | Techniques |
| Air-Writing with Sparse Network of Radars using Spatio-Temporal | learning | |
| Airborne Hyperspectral Images and Machine | learning | Algorithms for the Identification of Lupine Invasive Species in Natura 2000 Meadows |
| Airborne Kite Tether Force Estimation and Experimental Validation Using Analytical and Machine | learning | Models for Coastal Regions |
| Airborne Laser Scanning Point Cloud Classification Using the DGCNN Deep | learning | Method |
| Airborne Passive Bistatic Radar Clutter Suppression Algorithm Based on Root Off-Grid Sparse Bayesian | learning | |
| Airborne Radiometric Surveys and Machine | learning | Algorithms for Revealing Soil Texture |
| Aircraft Detection Framework Based on Reinforcement | learning | and Convolutional Neural Networks in Remote Sensing Images, An |
| Aircraft Type Recognition in Remote Sensing Images Based on Feature | learning | with Conditional Generative Adversarial Networks |
| AIRD: Adversarial | learning | Framework for Image Repurposing Detection |
| Airport Capacity Prediction With Multisource Features: A Temporal Deep | learning | Approach |
| AL-MRIS: An Active | learning | -Based Multipath Residual Involution Siamese Network for Few-Shot Hyperspectral Image Classification |
| Aladdin: Joint Atlas Building and Diffeomorphic Registration | learning | with Pairwise Alignment |
| ALERT: Adversarial | learning | With Expert Regularization Using Tikhonov Operator for Missing Band Reconstruction |
| AlexNet-NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer | learning | and Lipschitz-based data augmentation |
| Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble | learning | |
| algorithm for competitive | learning | in clustering problems, An |
| Algorithm for | learning | Orthonormal Matrix Codebooks for Adaptive Transform Coding, An |
| algorithm for semi-supervised | learning | in image retrieval, An |
| Algorithm for the | learning | of Weights in Discrimination Functions Using a Priori Constraints, An |
| Algorithm Unrolling: Interpretable, Efficient Deep | learning | for Signal and Image Processing |
| Algorithm using supervised subspace | learning | and non-local representation for pose variation recognition |
| Algorithm-Dependent Generalization Bounds for Multi-Task | learning | |
| Algorithm-Driven Advances for Scientific CT Instruments: From Model-Based to Deep | learning | -Based Approaches |
| Algorithms for semantic segmentation of multispectral remote sensing imagery using deep | learning | |
| Align Representations with Base: A New Approach to Self-Supervised | learning | |
| Aligning and Updating Cadaster Maps with Aerial Images by Multi-task, Multi-resolution Deep | learning | |
| Alignment-Uniformity aware Representation | learning | for Zero-shot Video Classification |
| ALIS: | learning | Affective Causality Behind Daily Activities From a Wearable Life-Log System |
| All Terrain Crack Detector Obtained by Deep | learning | on Available Databases, An |
| All-Pairs Consistency | learning | for Weakly Supervised Semantic Segmentation |
| All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine | learning | |
| Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric | learning | |
| Alleviating Domain Shift via Discriminative | learning | for Generalized Zero-Shot Learning |
| Alleviating Domain Shift via Discriminative | learning | for Generalized Zero-Shot Learning |
| Allocation of Tutors and Study Centers in Distance | learning | Using Geospatial Technologies |
| alpha-Divergence-Based Approach for Robust Dictionary | learning | , An |
| AlphaMatch: Improving Consistency for Semi-supervised | learning | with Alpha-divergence |
| ALPINE: Improving Remote Heart Rate Estimation using Contrastive | learning | |
| ALSA: Adversarial | learning | of Supervised Attentions for Visual Question Answering |
| Alternating Scheme for Supervised Parameter | learning | with Application to Image Segmentation |
| Alternative | learning | vector quantization |
| Alternatively Constrained Dictionary | learning | For Image Superresolution |
| Altruistic cooperative adaptive cruise control of mixed traffic platoon based on deep reinforcement | learning | |
| Always Be Dreaming: A New Approach for Data-Free Class-Incremental | learning | |
| ALWOD: Active | learning | for Weakly-Supervised Object Detection |
| Alzheimer disease classification using KPCA, LDA, and multi-kernel | learning | SVM |
| Alzheimer's detection using various feature extraction approaches using a multimodal multi-class deep | learning | model |
| AMANet: Adaptive Multi-Path Aggregation for | learning | Human 2D-3D Correspondences |
| AMaNet: Adaptive Mutual- | learning | -Based Multimodal Data Fusion Network |
| Ambient PM2.5 Estimates and Variations during COVID-19 Pandemic in the Yangtze River Delta Using Machine | learning | and Big Data |
| Ambient Sound Provides Supervision for Visual | learning | |
| Ambiguity-Resistant Semi-Supervised | learning | for Dense Object Detection |
| AMC: Attention Guided Multi-modal Correlation | learning | for Image Search |
| Amln: Adversarial-based Mutual | learning | Network for Online Knowledge Distillation |
| AMOS: the | learning | multiclass pattern classifier |
| Amphibian Sounds Generating Network Based on Adversarial | learning | |
| AMSC: Adaptive Masking and Structure-Constraint | learning | for Domain Adaptive Semantic Segmentation Under Adverse Conditions |
| Analysing acoustic model changes for active | learning | in automatic speech recognition |
| Analysing Process and Probability of Built-Up Expansion Using Machine | learning | and Fuzzy Logic in English Bazar, West Bengal |
| Analysis and Classification of Skin Cancer Based on Deep | learning | Approach |
| Analysis Dictionary | learning | Based Classification: Structure for Robustness |
| analysis of a stochastic differential approach for langevine comepetitive | learning | algorithm, The |
| Analysis of Causal Interactions and Predictive Modelling of Financial Markets Using Econometric Methods, Maximal Overlap Discrete Wavelet Transformation and Machine | learning | : A Study in Asian Context |
| Analysis of Different Deep | learning | Architectures to Learn Generalised Classifier Stacking on Riemannian and Grassmann Manifolds |
| Analysis of Evaluation Metrics with the Distance between Positive Pairs and Negative Pairs in Deep Metric | learning | |
| Analysis of | learning | Analytics in Higher Educational Institutions: A Review |
| Analysis of | learning | using segmentation models |
| Analysis of lung scan imaging using deep multi-task | learning | structure for Covid-19 disease |
| Analysis of Recent Deep- | learning | -Based Intrusion Detection Methods for In-Vehicle Network |
| Analysis of Sampling Techniques for | learning | Binarized Statistical Image Features Using Fixations and Salience |
| Analysis of technical features in basketball video based on deep | learning | algorithm |
| Analysis of the Behavior of Genetic Algorithms When | learning | Bayesian Network Structure from Data |
| Analysis of the Effect of Sensors for End-to-End Machine | learning | Odometry |
| Analysis of the Scalability of a Deep- | learning | Network for Steganography into the Wild |
| Analysis of the Transfer | learning | of Convolutional Neural Networks for Artistic Images, An |
| Analysis of the Uniqueness and Similarity of City Landscapes Based on Deep Style | learning | |
| Analysis of unsupervised | learning | techniques for face recognition |
| Analysis on Mental Stress of Professionals and Pregnant Women Using Machine | learning | Techniques |
| Analysis Operator | learning | and its Application to Image Reconstruction |
| Analytical Framework for Trusted Machine | learning | and Computer Vision Running with Blockchain, An |
| Analyzing and Mitigating JPEG Compression Defects in Deep | learning | |
| Analyzing Classifier Hierarchy Multiclassifier | learning | |
| Analyzing EEG Data with Machine and Deep | learning | : A Benchmark |
| Analyzing Human Movements from Silhouettes Using Manifold | learning | |
| Analyzing multi-domain | learning | for enhanced rockfall mapping in known and unknown planetary domains |
| Analyzing Social Network Images with Deep | learning | Models to Fight Zika Virus |
| Analyzing the Behaviors of OpenStreetMap Volunteers in Mapping Building Polygons Using a Machine | learning | Approach |
| ANAS: Asymptotic NAS for large-scale proxyless search and multi-task transfer | learning | |
| Anatomical Invariance Modeling and Semantic Alignment for Self-supervised | learning | in 3D Medical Image Analysis |
| Anatomical multiatlas segmentation using local texture statistical properties for matching descriptor with machine | learning | |
| Anatomy-aware Contrastive Representation | learning | for Fetal Ultrasound |
| Anatomy-Regularized Representation | learning | for Cross-Modality Medical Image Segmentation |
| Ancestor Search: Generalized Open Set Recognition via Hyperbolic Side Information | learning | |
| Anchor Assisted Experience Replay for Online Class-Incremental | learning | |
| Anchor-based discriminative dual distribution calibration for transductive zero-shot | learning | |
| Anchor3DLane: | learning | to Regress 3D Anchors for Monocular 3D Lane Detection |
| Ancient Roman Coin Recognition in the Wild Using Deep | learning | Based Recognition of Artistically Depicted Face Profiles |
| Ancoins: Image-based Automated Identification of Ancient Coins Through Transfer | learning | Approaches |
| And-Or Graph Grammar for Architectural Floor Plan Representation, | learning | and Recognition. A Semantic, Structural and Hierarchical Model |
| ANDAL: A Nonparametric Discrimination and | learning | Algorithm for Recognition in Imperfectly Supervised Environments |
| Angus Cattle Recognition Using Deep | learning | |
| Animal Migration Patterns Extraction Based on Atrous-Gated CNN Deep | learning | Model |
| Anisotropic Graph Convolutional Network for Semi-Supervised | learning | |
| Annealing Genetic GAN for Imbalanced Web Data | learning | |
| Annealing-based Label-Transfer | learning | for Open World Object Detection |
| Annotating Handwritten Characters with Minimal Human Involvement in a Semi-supervised | learning | Strategy |
| Annotating retrieval database with active | learning | |
| Annotation-Efficient | learning | for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning |
| Annotation-Efficient | learning | for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning |
| Annual Daily Irradiance Analysis of Clusters in Mexico by Machine | learning | Algorithms |
| Annual Maps of Built-Up Land in Guangdong from 1991 to 2020 Based on Landsat Images, Phenology, Deep | learning | Algorithms, and Google Earth Engine |
| Anomalib: A Deep | learning | Library for Anomaly Detection |
| Anomalous Motion Detection On Highway Using Deep | learning | |
| Anomaly classification in digital mammography based on multiple-instance | learning | |
| Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using | learning | From Demonstration |
| Anomaly Detection and Correction of Optimizing Autonomous Systems With Inverse Reinforcement | learning | |
| Anomaly Detection for Cooperative Adaptive Cruise Control in Autonomous Vehicles Using Statistical | learning | and Kinematic Model |
| Anomaly Detection for Urban Vehicle GNSS Observation with a Hybrid Machine | learning | System |
| Anomaly Detection in Pedestrian Walkways for Intelligent Transportation System Using Federated | learning | and Harris Hawks Optimizer on Remote Sensing Images |
| Anomaly Detection in Video via Self-Supervised and Multi-Task | learning | |
| Anomaly Intrusion Detection in Online | learning | Space Based on XGBoost |
| Anomaly-Based Ship Detection Using SP Feature-Space | learning | with False-Alarm Control in Sea-Surface SAR Images |
| Anonymous Gastritis Image Generation via Adversarial | learning | from Gastric X-Ray Images |
| Ant colony optimisation for coloured travelling salesman problem by multi-task | learning | |
| Ant Cuckoo Search Optimization-based deep | learning | classifier for image enhancement in spinal cord images |
| Ant-Inspired Recurrent Deep | learning | Model for Improving the Service Flow of Intelligent Transportation Systems |
| Anti-Interference Bottom Detection Method of Multibeam Echosounders Based on Deep | learning | Models |
| Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident | learning | for Medical Image Segmentation |
| Anti-retroactive Interference for Lifelong | learning | |
| anyOCR: A sequence | learning | based OCR system for unlabeled historical documents |
| Anytime | learning | for the NoSLLiP tracker |
| AOGNets: Compositional Grammatical Architectures for Deep | learning | |
| ApodNet: | learning | for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging |
| Apparel-Invariant Feature | learning | for Person Re-Identification |
| Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep | learning | Models |
| Apparent Age Estimation Using Ensemble of Deep | learning | Models |
| Appearance and motion based deep | learning | architecture object detection in moving camera |
| Appearance | learning | by adaptive Kalman filters for FLIR tracking |
| Appearance | learning | for 3D pose detection of a satellite at close-range |
| Appearance | learning | for Image-Based Motion Estimation in Tomography |
| Appearance model update based on online | learning | and soft-biometrics traits for people re-identification in multi-camera environments |
| Appearance-and-Dynamic | learning | With Bifurcated Convolution Neural Network for Action Recognition |
| Appearance-based face recognition using a supervised manifold | learning | framework |
| Appearance-Based Loop Closure Detection via Locality-Driven Accurate Motion Field | learning | |
| Appearance-Based Visual | learning | and Object Recognition with Illumination Invariance |
| Appearances Can Be Deceiving: | learning | Visual Tracking from Few Trajectory Annotations |
| APPLeNet: Visual Attention Parameterized Prompt | learning | for Few-Shot Remote Sensing Image Generalization using CLIP |
| Applicability Assessment of Passive Microwave LST Downscaling over Semi-Homogeneous Desert Underlying Surface Based on Machine | learning | |
| Application and analysis of image recognition technology based on Artificial Intelligence -- machine | learning | algorithm as an example |
| Application and Evaluation of a Deep | learning | Architecture to Urban Tree Canopy Mapping |
| Application and research progress of machine | learning | in Bioinformatics |
| Application of 3D laser scanning technology for image data processing in the protection of ancient building sites through deep | learning | |
| Application of a Fusion Model Based on Machine | learning | in Visibility Prediction |
| Application of a New Hybrid Deep | learning | Model That Considers Temporal and Feature Dependencies in Rainfall-Runoff Simulation |
| Application of Advanced Machine | learning | Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data |
| Application of an Unmanned Aerial System and Machine | learning | Techniques for Red Clover-Grass Mixture Yield Estimation under Variety Performance Trials, The |
| Application of Bayesian Ying-Yang Criteria for Selecting the Number of Hidden Units with Backpropagation | learning | to Electrocardigram Classification |
| Application of Color Featuring and Deep | learning | in Maize Plant Detection |
| Application of CRF and SVM based semi-supervised | learning | for semantic labeling of environments |
| Application of CycleGAN and transfer | learning | techniques for automated detection of COVID-19 using X-ray images |
| Application of Deep | learning | Architectures for Accurate Detection of Olive Tree Flowering Phenophase |
| Application of Deep | learning | Architectures for Satellite Image Time Series Prediction: A Review |
| Application of Deep | learning | for Delineation of Visible Cadastral Boundaries from Remote Sensing Imagery |
| Application of Deep | learning | for Speckle Removal in GOCI Chlorophyll-a Concentration Images (2012-2017) |
| Application of Deep | learning | in Multitemporal Remote Sensing Image Classification |
| Application of deep | learning | model based on image definition in real-time digital image fusion |
| Application of educational data mining on analysis of students' online | learning | behavior |
| Application of Ensemble-Based Machine | learning | Models to Landslide Susceptibility Mapping |
| Application of Graph | learning | With Multivariate Relational Representation Matrix in Vehicular Social Networks |
| Application of Machine and Deep | learning | Strategies for The Classification of Heritage Point Clouds |
| Application of Machine | learning | for Disease Detection Tasks in Olive Trees Using Hyperspectral Data |
| Application of Machine | learning | for Simulation of Air Temperature at Dome A |
| Application of Machine | learning | in Forecasting the Impact of Mining Deformation: A Case Study of Underground Copper Mines in Poland |
| Application of Machine | learning | to Debris Flow Susceptibility Mapping along the China-Pakistan Karakoram Highway |
| Application Of Machine | learning | To The Prediction Of Vegetation Health |
| Application of Machine | learning | to Tree Species Classification Using Active and Passive Remote Sensing: A Case Study of the Duraer Forestry Zone |
| Application of Machine- | learning | Model for Analyzing the Impact of Land-Use Change on Surface Water Resources in Gauteng Province, South Africa, An |
| Application of machine- | learning | techniques toward the creation of a consistent and calibrated global chlorophyll concentration baseline dataset using remotely sensed ocean color data |
| Application of Machine- | learning | -Based Fusion Model in Visibility Forecast: A Case Study of Shanghai, China |
| Application of optimal clustering and metric | learning | to patch-based anomaly detection |
| Application of Probabilistic and Machine | learning | Models for Groundwater Potentiality Mapping in Damghan Sedimentary Plain, Iran |
| Application of projection pursuit | learning | to boundary detection and deblurring in images |
| application of Sparse Code Shrinkage to image steganalysis based on supervised | learning | , An |
| Application of Supervised Machine | learning | Technique on LiDAR Data for Monitoring Coastal Land Evolution |
| Application of the best evacuation model of deep | learning | in the design of public structures |
| Application of the deep | learning | approach for identification and face recognition in real-time video |
| Application of Transfer | learning | in Infrared Pedestrian Detection |
| Application of Wave Atoms Decomposition and Extreme | learning | Machine for Fingerprint Classification |
| Application program interface for automatic segmentation of retinal layers and fluids in Optical Coherence Tomography - Neovascular Age related Macular degeneration retinal images using deep | learning | models |
| Applications of Deep | learning | for Top-View Omnidirectional Imaging: A Survey |
| Applications of Deep | learning | -Based Super-Resolution Networks for AMSR2 Arctic Sea Ice Images |
| Applied machine | learning | classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets |
| Applying Advanced | learning | Algorithms to ALVINN |
| Applying Deep | learning | in the Prediction of Chlorophyll-a in the East China Sea |
| Applying Deep | learning | Techniques to Cultural Heritage Images Within the INCEPTION Project |
| Applying Deep | learning | to Automate UAV-Based Detection of Scatterable Landmines |
| Applying Deep | learning | to Clear-Sky Radiance Simulation for VIIRS with Community Radiative Transfer Model: Part 1: Develop AI-Based Clear-Sky Mask |
| Applying Deep | learning | to Clear-Sky Radiance Simulation for VIIRS with Community Radiative Transfer Model: Part 2: Model Architecture and Assessment |
| Applying Deep | learning | to Hail Detection: A Case Study |
| Applying Delaunay Triangulation Augmentation for Deep | learning | Facial Expression Generation and Recognition |
| Applying incremental | learning | to parallel image segmentation |
| Applying Machine | learning | and Data Fusion to the Missing Person Problem |
| Applying Machine | learning | and Time-Series Analysis on Sentinel-1A SAR/InSAR for Characterizing Arctic Tundra Hydro-Ecological Conditions |
| Applying Machine | learning | for Sensor Data Analysis in Interactive Systems: Common Pitfalls of Pragmatic Use and Ways to Avoid Them |
| Applying Machine | learning | Techniques to Transportation Mode Recognition Using Mobile Phone Sensor Data |
| Applying machine | learning | to screen for acute myocardial infarction-related biomarkers and immune infiltration features and validate it clinically and experimentally |
| Applying the multi-category | learning | to multiple video object extraction |
| Applying Virtual Rehearsal Principle in Developing a Persuasive Multimedia | learning | Environment (PMLE) |
| Apprenticeship | learning | Approach for Adaptive Video Streaming Based on Chunk Quality and User Preference, An |
| Apprenticeship | learning | : Transfer of Knowledge via Dataset Augmentation |
| approach for cancer classification using optimization driven deep | learning | , An |
| Approach for Predicting Global Ionospheric TEC Using Machine | learning | , An |
| approach for revising a fuzzy logic controller using Q- | learning | algorithm, An |
| Approach for Sequential Dictionary | learning | in Nonuniform Noise, An |
| Approach for shadow detection and removal using machine | learning | techniques |
| Approach to Improve the Spatial Resolution and Accuracy of AMSR2 Passive Microwave Snow Depth Product Using Machine | learning | in Northeast China, An |
| Approach to Object Recognition by | learning | Mobile Robots |
| Approach to Overcome Occlusions in Visual Tracking: By Occlusion Estimating Agency and Self-Adapting | learning | Rate for Filter's Training, An |
| approach to supervised distance metric | learning | based on difference of convex functions programming, An |
| Approach to Tune Fuzzy Controllers Based on Reinforcement | learning | for Autonomous Vehicle Control, An |
| Approach to Vehicle Recognition Using Supervised | learning | , An |
| Approaching human level facial landmark localization by deep | learning | |
| Approaching the computational color constancy as a classification problem through deep | learning | |
| Approximate Grassmannian Intersections: Subspace-Valued Subspace | learning | |
| Approximate Inference of Traffic Flow State at Signalized Intersections Using a Bayesian | learning | Framework |
| Approximate Neural Architecture Search via Operation Distribution | learning | |
| Approximate Parameter | learning | in Conditional Random Fields: An Empirical Investigation |
| Approximate structured output | learning | for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices |
| Approximating the Ideal Observer and Hotelling Observer for Binary Signal Detection Tasks by Use of Supervised | learning | Methods |
| Approximating the Ideal Observer for Joint Signal Detection and Localization Tasks by use of Supervised | learning | Methods |
| AQE-Net: A Deep | learning | Model for Estimating Air Quality of Karachi City from Mobile Images |
| AR-NeRF: Unsupervised | learning | of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields |
| Arabic Handwritten Characters Classification Using | learning | Vector Quantization Algorithm |
| ARAPReg: An As-Rigid-As Possible Regularization Loss for | learning | Deformable Shape Generators |
| Arbitrary Direction Ship Detection in Remote-Sensing Images Based on Multitask | learning | and Multiregion Feature Fusion |
| Arbitrary Point Tracking with Machine | learning | to Measure Cardiac Strains in Tagged MRI |
| Archaeologic Machine | learning | for Shipwreck Detection Using Lidar and Sonar |
| Archaeological Predictive Modeling Using Machine | learning | and Statistical Methods for Japan and China |
| Architectural Tricks for Deep | learning | in Remote Photoplethysmography |
| Architecture, Dataset and Model-Scale Agnostic Data-free Meta- | learning | |
| ArCo: Attention-reinforced transformer with contrastive | learning | for image captioning |
| Arctic HARE: A Machine | learning | -Based System for Performance Analysis of Cross-Country Skiers |
| Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine | learning | -Based Lead Detection |
| Are All Combinations Equal? Combining Textual and Visual Features with Multiple Space | learning | for Text-based Video Retrieval |
| Are All Users Treated Fairly in Federated | learning | Systems? |
| Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-based Active | learning | |
| Are French Really That Different? Recognizing Europeans from Faces Using Data-Driven | learning | |
| Are Labels Needed for Incremental Instance | learning | ? |
| Are These Birds Similar: | learning | Branched Networks for Fine-grained Representations |
| Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial | learning | |
| Area Under the ROC Curve Maximization for Metric | learning | |
| ARES: On Adversarial Robustness Enhancement for Image Steganographic Cost | learning | |
| Armagh Observatory: Historic Building Information Modelling For Virtual | learning | In Building Conservation |
| ARNOLD: A Benchmark for Language-Grounded Task | learning | With Continuous States in Realistic 3D Scenes |
| ARO-Net: | learning | Implicit Fields from Anchored Radial Observations |
| Art of Robustness: Devil and Angel in Adversarial Machine | learning | , The |
| Arterial Spin Labeling Images Synthesis From sMRI Using Unbalanced Deep Discriminant | learning | |
| Artifact Suppressed Dictionary | learning | for Low-Dose CT Image Processing |
| Artifacts-Disentangled Adversarial | learning | for Deepfake Detection |
| Artificial Intelligence-Based | learning | Approaches for Remote Sensing |
| Artificial | learning | -Based Proctoring Solution for Remote Online Assessments: VProctor |
| Artificial Mangrove Species Mapping Using Pleiades-1: An Evaluation of Pixel-Based and Object-Based Classifications with Selected Machine | learning | Algorithms |
| Artificial neural networks capable of | learning | spatiotemporal chemical diffusion in the cortical brain |
| Artist Agent: A Reinforcement | learning | Approach to Automatic Stroke Generation in Oriental Ink Painting |
| Artistic Image Analysis Using Graph-Based | learning | Approaches |
| ARVo: | learning | All-Range Volumetric Correspondence for Video Deblurring |
| AS-Net: Class-Aware Assistance and Suppression Network for Few-Shot | learning | |
| ASCNet: Self-Supervised Video Representation | learning | with Appearance-Speed Consistency |
| ASFlow: Unsupervised Optical Flow | learning | With Adaptive Pyramid Sampling |
| Ask Your Neurons: A Deep | learning | Approach to Visual Question Answering |
| ASLFeat: | learning | Local Features of Accurate Shape and Localization |
| ASM fitting method based on machine | learning | that provides a robust parameter initialization for AAM fitting, An |
| ASMR: | learning | Attribute-Based Person Search with Adaptive Semantic Margin Regularizer |
| AsNet: Asymmetrical Network for | learning | Rich Features in Person Re-Identification |
| Aspect | learning | for Multimedia Summarization via Nonparametric Bayesian |
| Aspect-Based Relevance | learning | for Image Retrieval |
| Aspect-Driven User Preference and News Representation | learning | for News Recommendation |
| Assessing Deep | learning | Architectures for Visualizing Maya Hieroglyphs |
| Assessing Durum Wheat Yield through Sentinel-2 Imagery: A Machine | learning | Approach |
| Assessing the Changes in the Moisture/Dryness of Water Cavity Surfaces in Imlili Sebkha in Southwestern Morocco by Using Machine | learning | Classification in Google Earth Engine |
| Assessing the Effect of Training Sampling Design on the Performance of Machine | learning | Classifiers for Land Cover Mapping Using Multi-Temporal Remote Sensing Data and Google Earth Engine |
| Assessing the Generalization of Machine | learning | -Based Slope Failure Prediction to New Geographic Extents |
| Assessing the Impact of Diversity on the Resilience of Deep | learning | Ensembles: A Comparative Study on Model Architecture, Output, Activation, and Attribution |
| Assessing the Influence of Spatio-Temporal Context for Next Place Prediction using Different Machine | learning | Approaches |
| Assessing the Leaf Blade Nutrient Status of Pinot Noir Using Hyperspectral Reflectance and Machine | learning | Models |
| Assessing the Sensitivity of Vegetation Cover to Climate Change in the Yarlung Zangbo River Basin Using Machine | learning | Algorithms |
| Assessing the Yield of Wheat Using Satellite Remote Sensing-Based Machine | learning | Algorithms and Simulation Modeling |
| Assessing Transferability From Simulation to Reality for Reinforcement | learning | |
| Assessing Transferability of Remote Sensing Pasture Estimates Using Multiple Machine | learning | Algorithms and Evaluation Structures |
| Assessing Trust Level of a Driverless Car Using Deep | learning | |
| Assessment and Comparison of Six Machine | learning | Models in Estimating Evapotranspiration over Croplands Using Remote Sensing and Meteorological Factors |
| Assessment of deep | learning | based blood pressure prediction from PPG and rPPG signals |
| Assessment of deep | learning | for gender classification on traditional datasets |
| Assessment of Deep | learning | Techniques for Land Use Land Cover Classification in Southern New Caledonia |
| Assessment of Deep | learning | -Based Heart Rate Estimation Using Remote Photoplethysmography Under Different Illuminations |
| Assessment of Deep | learning | -Based Nowcasting Using Weather Radar in South Korea |
| Assessment of Ensemble | learning | to Predict Wheat Grain Yield Based on UAV-Multispectral Reflectance |
| assessment of image classifiers for generating machine- | learning | training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery, An |
| Assessment of Landsat Based Deep- | learning | Membership Analysis for Development of from-to Change Time Series in the Prairie Region of Canada from 1984 to 2018 |
| Assessment of Machine and Deep | learning | Approaches for Fault Diagnosis in Photovoltaic Systems Using Infrared Thermography |
| Assessment of Machine | learning | Algorithms for Automatic Benthic Cover Monitoring and Mapping Using Towed Underwater Video Camera and High-Resolution Satellite Images |
| Assessment of Machine | learning | Models for Classification of Movement Patterns During a Weight-Shifting Exergame |
| Assessment of Machine | learning | Models for Remote Sensing of Water Quality in Lakes Cajititlán and Zapotlán, Jalisco—Mexico |
| Assessment of Machine | learning | Techniques for Oil Rig Classification in C-Band SAR Images |
| Assessment of Perceived and Physical Walkability Using Street View Images and Deep | learning | Technology |
| Assessment of Six Machine | learning | Methods for Predicting Gross Primary Productivity in Grassland |
| Assimilation of Deep | learning | and Machine Learning Schemes into a Remote Sensing-Incorporated Crop Model to Simulate Barley and Wheat Productivities |
| Assimilation of Deep | learning | and Machine Learning Schemes into a Remote Sensing-Incorporated Crop Model to Simulate Barley and Wheat Productivities |
| Assisted Excitation of Activations: A | learning | Technique to Improve Object Detectors |
| Assisted | learning | for land use classification: The important role of semantic correlation between heterogeneous images |
| Assistive Malaysian Sign Language Application for D/HH | learning | Using Visual Phonics |
| Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task | learning | Method |
| Associations between Street-View Perceptions and Housing Prices: Subjective vs. Objective Measures Using Computer Vision and Machine | learning | Techniques |
| Associative memory based on ratio | learning | for real time skin color detection |
| Asymmetric Color Transfer with Consistent Modality | learning | |
| Asymmetric Contrastive | learning | for Audio Fingerprinting |
| Asymmetric kernel in Gaussian Processes for | learning | target variance |
| Asymmetric | learning | and Dissimilarity Spaces for Content-Based Retrieval |
| Asymmetric | learning | for Stereo Matching Cost Computation |
| Asymmetric | learning | vector quantization for efficient nearest neighbor classification in dynamic time warping spaces |
| Asymmetric Loss Functions for Noise-Tolerant | learning | : Theory and Applications |
| Asymmetric metric | learning | for knowledge transfer |
| Asymmetric Pruning for | learning | Cascade Detectors |
| Asymmetric semi-supervised boosting for SVM active | learning | in CBIR |
| Asymmetric Weighted Logistic Metric | learning | for Hyperspectral Target Detection |
| asymmetrical-structure auto-encoder for unsupervised representation | learning | of skeleton sequences, An |
| Asynchronous Deep Reinforcement | learning | for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing |
| Asynchronous Federated Continual | learning | |
| Asynchronous Federated Deep Reinforcement | learning | -Based URLLC-Aware Computation Offloading in Space-Assisted Vehicular Networks |
| Asynchronous Multithreading Reinforcement- | learning | -Based Path Planning and Tracking for Unmanned Underwater Vehicle |
| Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep | learning | |
| Atlas-Guided Multi-channel Forest | learning | for Human Brain Labeling |
| Atmospheric Compensation of PRISMA Data by Means of a | learning | Based Approach |
| Atmospheric correction algorithm based on deep | learning | with spatial-spectral feature constraints for broadband optical satellites: Examples from the HY-1C Coastal Zone Imager |
| Atmospheric correction under cloud edge effects for Geostationary Ocean Color Imager through deep | learning | |
| Atmospheric-correction-free red tide quantification algorithm for GOCI based on machine | learning | combined with a radiative transfer simulation |
| ATOM: Self-supervised human action recognition using atomic motion representation | learning | |
| ATPFL: Automatic Trajectory Prediction Model Design under Federated | learning | Framework |
| ATSS Deep | learning | -Based Approach to Detect Apple Fruits |
| Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine | learning | |
| Attend in Groups: A Weakly-Supervised Deep | learning | Framework for Learning from Web Data |
| Attend in Groups: A Weakly-Supervised Deep | learning | Framework for Learning from Web Data |
| Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task | learning | |
| Attention Based Speaker-independent Audio-visual Deep | learning | Model for Speech Enhancement, An |
| Attention Branch Network: | learning | of Attention Mechanism for Visual Explanation |
| Attention Control during Distance | learning | Sessions |
| Attention control with reinforcement | learning | for face recognition under partial occlusion |
| Attention GANs: Unsupervised Deep Feature | learning | for Aerial Scene Classification |
| Attention regularized semi-supervised | learning | with class-ambiguous data for image classification |
| Attention Residual | learning | for Skin Lesion Classification |
| Attention-Aware Deep Reinforcement | learning | for Video Face Recognition |
| Attention-Aware Face Hallucination via Deep Reinforcement | learning | |
| Attention-Aware | learning | for Hyperparameter Prediction in Image Processing Pipelines |
| Attention-Based Deep | learning | Framework for Trip Destination Prediction of Sharing Bike, An |
| attention-based deep | learning | model for multiple pedestrian attributes recognition, An |
| Attention-Based Deep Metric | learning | for Near-Duplicate Video Retrieval |
| Attention-Based Deep Reinforcement | learning | for Virtual Cinematography of 360° Videos |
| Attention-Based Ensemble for Deep Metric | learning | |
| Attention-Based Interactive | learning | -to-Rank Model for Document Retrieval, An |
| Attention-Based Local Region Aggregation Network for Hierarchical Point Cloud | learning | |
| Attention-based Multi-Reference | learning | for Image Super-Resolution |
| Attention-Based Multi-Task | learning | for Fine-Grained Image Classification |
| Attention-Based Multi-View Feature Collaboration for Decoupled Few-Shot | learning | |
| Attention-based Query Expansion | learning | |
| Attention-Based Self-Supervised | learning | Monocular Depth Estimation With Edge Refinement |
| Attention-Based Target Localization Using Multiple Instance | learning | |
| Attention-Guided Contrastive Masked Image Modeling for Transformer-Based Self-Supervised | learning | |
| Attention-guided Fine-grained Feature | learning | For Robust Face Forgery Detection |
| Attention-Guided Global-Local Adversarial | learning | for Detail-Preserving Multi-Exposure Image Fusion |
| AttentionBoost: | learning | What to Attend for Gland Segmentation in Histopathological Images by Boosting Fully Convolutional Networks |
| Attentive and Adversarial | learning | for Video Summarization |
| Attentive and Contrastive | learning | for Joint Depth and Motion Field Estimation |
| Attentive matching network for few-shot | learning | |
| Attentive Prototype Few-shot | learning | with Capsule Network-based Embedding |
| Attentive Region Embedding Network for Zero-Shot | learning | |
| Attentive Semantic Preservation Network for Zero-Shot | learning | |
| Attentive spatial-temporal contrastive | learning | for self-supervised video representation |
| Attentive Spatial-Temporal Summary Networks for Feature | learning | in Irregular Gait Recognition |
| Attentive Spatio-Temporal | learning | -Based Network for Cardiovascular Disease Diagnosis, An |
| Attentive Task Interaction Network for Multi-Task | learning | |
| Attentive Weights Generation for Few Shot | learning | via Information Maximization |
| Attentively | learning | Edge Distributions for Semantic Segmentation of Remote Sensing Imagery |
| Attenuating Catastrophic Forgetting by Joint Contrastive and Incremental | learning | |
| Attract, Perturb, and Explore: | learning | a Feature Alignment Network for Semi-supervised Domain Adaptation |
| Attributable Visual Similarity | learning | |
| Attribute Attention for Semantic Disambiguation in Zero-Shot | learning | |
| Attribute constrained subspace | learning | |
| Attribute Embedding with Visual-Semantic Ambiguity Removal for Zero-shot | learning | |
| Attribute | learning | for SAR Image Classification |
| Attribute | learning | for Understanding Unstructured Social Activity |
| Attribute | learning | with Knowledge Enhanced Partial Annotations |
| Attribute Prototype Network for Any-Shot | learning | |
| Attribute Recognition by Joint Recurrent | learning | of Context and Correlation |
| Attribute subspaces for zero-shot | learning | |
| Attribute Surrogates | learning | and Spectral Tokens Pooling in Transformers for Few-shot Learning |
| Attribute Surrogates | learning | and Spectral Tokens Pooling in Transformers for Few-shot Learning |
| Attribute Trees In Image Analysis: Heuristic Matching and | learning | Techniques |
| Attribute-based | learning | for gait recognition using spatio-temporal interest points |
| Attribute-Based Synthetic Network (ABS-Net): | learning | more from pseudo feature representations |
| Attribute-Based Transfer | learning | for Object Categorization with Zero/One Training Example |
| Attribute-Guided Collaborative | learning | for Partial Person Re-Identification |
| Attribute-guided Feature Extraction and Augmentation Robust | learning | for Vehicle Re-identification |
| Attribute-Guided Feature | learning | for Few-Shot Image Recognition |
| Attribute-Guided Feature | learning | Network for Vehicle Reidentification |
| Attribute-Identity Embedding and Self-Supervised | learning | for Scalable Person Re-Identification |
| Attribute-Image Person Re-identification via Modal-Consistent Metric | learning | |
| Attribute-Induced Bias Eliminating for Transductive Zero-Shot | learning | |
| Attribute-Modulated Generative Meta | learning | for Zero-Shot Learning |
| Attribute-Modulated Generative Meta | learning | for Zero-Shot Learning |
| Attributed Relational Graph-Based | learning | of Object Models for Object Segmentation |
| Attributes based skin lesion detection and recognition: A mask RCNN and transfer | learning | -based deep learning framework |
| Attributes based skin lesion detection and recognition: A mask RCNN and transfer | learning | -based deep learning framework |
| Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot | learning | |
| Attributing Fake Images to GANs: | learning | and Analyzing GAN Fingerprints |
| AttriCLIP: A Non-Incremental Learner for Incremental Knowledge | learning | |
| AU-Aware 3D Face Reconstruction through Personalized AU-Specific Blendshape | learning | |
| Audio Event-Relational Graph Representation | learning | for Acoustic Scene Classification |
| Audio Related Quality of Experience Evaluation in Urban Transportation Environments With Brain Inspired Graph | learning | |
| Audio-Based Machine | learning | Model for Traffic Congestion Detection |
| Audio-based Near-Duplicate Video Retrieval with Audio Similarity | learning | |
| Audio-Visual Class-Incremental | learning | |
| Audio-Visual Contrastive and Consistency | learning | for Semi-Supervised Action Recognition |
| Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal | learning | |
| Audio-Visual Emotion Recognition With Preference | learning | Based on Intended and Multi-Modal Perceived Labels |
| Audio-Visual Event Localization by | learning | Spatial and Semantic Co-Attention |
| Audio-Visual Kinship Verification: A New Dataset and a Unified Adaptive Adversarial Multimodal | learning | Approach |
| Audio-Visual Predictive Coding for Self-Supervised Visual Representation | learning | |
| Audio-visual speaker identification with multi-view distance metric | learning | |
| AudioViewer: | learning | to Visualize Sounds |
| Audiovisual Generalised Zero-shot | learning | with Cross-modal Attention and Language |
| Auditing Privacy Defenses in Federated | learning | via Generative Gradient Leakage |
| AugFPN: Improving Multi-Scale Feature | learning | for Object Detection |
| Augment document image binarization by | learning | |
| Augmentation Network for Generalised Zero-Shot | learning | |
| Augmentation of CBCT Reconstructed From Under-Sampled Projections Using Deep | learning | |
| Augmentation of rPPG Benchmark Datasets: | learning | to Remove and Embed rPPG Signals via Double Cycle Consistent Learning from Unpaired Facial Videos |
| Augmentation of rPPG Benchmark Datasets: | learning | to Remove and Embed rPPG Signals via Double Cycle Consistent Learning from Unpaired Facial Videos |
| Augmentation Strategies for | learning | with Noisy Labels |
| Augmented Autoencoders: Implicit 3D Orientation | learning | for 6D Object Detection |
| Augmented Bi-path Network for Few-shot | learning | |
| Augmented Face Representation | learning | via Transitive Distillation |
| augmented Lagrangian approach to general dictionary | learning | for image denoising, An |
| Augmenting Crop Detection for Precision Agriculture with Deep Visual Transfer | learning | : A Case Study of Bale Detection |
| Augmenting Features via Contrastive | learning | -based Generative Model for Long-Tailed Classification |
| Augmenting Vision Language Pretraining by | learning | Codebook with Visual Semantics |
| AUnet: A Deep | learning | Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and Sparse Scribble Annotations from OSM Data |
| AUNet: | learning | Relations Between Action Units for Face Forgery Detection |
| Authentically Distorted Image Quality Assessment by | learning | From Empirical Score Distributions |
| Authentication Of Copy Detection Patterns Under Machine | learning | Attacks: A Supervised Approach |
| Author identification by automatic | learning | |
| Auto Encoder Feature | learning | with Utilization of Local Spatial Information and Data Distribution for Classification of PolSAR Image |
| Auto | learning | temporal atomic actions for activity classification |
| Auto uning of price prediction models for high-frequency trading via reinforcement | learning | |
| Auto-Annotation Quality Prediction for Semi-Supervised | learning | with Ensembles |
| Auto-context modeling using multiple Kernel | learning | |
| Auto-Driving Policies in Highway based on Distributional Deep Reinforcement | learning | |
| Auto-Encoder-Based Shared Mid-Level Visual Dictionary | learning | for Scene Classification Using Very High Resolution Remote Sensing Images |
| Auto-FSL: Searching the Attribute Consistent Network for Few-Shot | learning | |
| Auto- | learning | Correlation-Filter-Based Target State Estimation for Real-Time UAV Tracking |
| Auto-Points: Automatic | learning | for Point Cloud Analysis with Neural Architecture Search |
| Auto-scaled Incremental Tensor Subspace | learning | for Region Based Rate Control Application |
| Auto-weighted multi-view clustering via kernelized graph | learning | |
| Auto-Weighted Multi-View | learning | for Image Clustering and Semi-Supervised Classification |
| Autoassociative | learning | in Relaxation Labeling Networks |
| AutoAugment: | learning | Augmentation Strategies From Data |
| Autoencoder and Adversarial- | learning | -Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection |
| Autoencoder based novelty detection for generalized zero shot | learning | |
| Autoencoder-based Graph Construction for Semi-supervised | learning | |
| AutoEncoder-Driven Multimodal Collaborative | learning | for Medical Image Synthesis |
| Autoencoders for a manifold | learning | problem with a Jacobian rank constraint |
| AutoFlow: | learning | a Better Training Set for Optical Flow |
| AutoFoley: Artificial Synthesis of Synchronized Sound Tracks for Silent Videos With Deep | learning | |
| Automated Adequacy Assessment of Cervical Cytology Samples Using Deep | learning | |
| Automated aerial suspended cargo delivery through reinforcement | learning | |
| Automated Aerosol Classification from Spectral UV Measurements Using Machine | learning | Clustering |
| Automated Analysis of Unregistered Multi-View Mammograms With Deep | learning | |
| automated and fast system to identify COVID-19 from X-ray radiograph of the chest using image processing and machine | learning | , An |
| Automated Animal-like | learning | for Developing a Face Recognition System |
| Automated Archaeological Feature Detection Using Deep | learning | on Optical UAV Imagery: Preliminary Results |
| Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta-heuristic assisted deep | learning | model |
| Automated Bale Mapping Using Machine | learning | and Photogrammetry |
| Automated Bite-block Detection to Distinguish Colonoscopy from Upper Endoscopy Using Deep | learning | |
| Automated Brain Imaging Diagnosis and Classification Model using Rat Swarm Optimization with Deep | learning | based Capsule Network |
| Automated building characterization for seismic risk assessment using street-level imagery and deep | learning | |
| Automated Built-Up Infrastructure Land Cover Extraction Using Index Ensembles with Machine | learning | , Automated Training Data, and Red Band Texture Layers |
| Automated Delineation of Supraglacial Debris Cover Using Deep | learning | and Multisource Remote Sensing Data |
| Automated detection and classification of fundus diabetic retinopathy images using synergic deep | learning | model |
| Automated Detection of Hummingbirds in Images: A Deep | learning | Approach |
| Automated Detection of Koalas with Deep | learning | Ensembles |
| Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep | learning | and Uncertainty Quantification |
| Automated Detection of Major Thoracic Structures with a Novel Online | learning | Method |
| Automated Detection of Malarial Retinopathy Using Transfer | learning | |
| Automated detection of multiple structural changes of diabetic macular oedema in SDOCT retinal images through transfer | learning | in CNNs |
| Automated Diagnosis of Breast Cancer Using Deep | learning | -Based Whole Slide Image Analysis of Molecular Biomarkers |
| Automated diagnosis of epilepsy from EEG signals using ensemble | learning | approach |
| Automated differentiation of skin melanocytes from keratinocytes in high-resolution histopathology images using a weakly-supervised deep- | learning | framework |
| Automated Extraction of Annual Erosion Rates for Arctic Permafrost Coasts Using Sentinel-1, Deep | learning | , and Change Vector Analysis |
| Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep | learning | |
| Automated Extraction of the Cortical Sulci Based on a Supervised | learning | Approach |
| Automated Framework for Plant Detection Based on Deep Simulated | learning | from Drone Imagery, An |
| Automated glacier extraction using a Transformer based deep | learning | approach from multi-sensor remote sensing imagery |
| Automated Glaucoma Diagnosis Using Deep and Transfer | learning | : Proposal of a System for Clinical Testing |
| Automated Health Estimation of Capsicum annuum L. Crops by Means of Deep | learning | and RGB Aerial Images |
| Automated Hyperparameter Search-Based Deep | learning | Model for Highway Traffic Prediction, An |
| automated hyperparameter tuned deep | learning | model enabled facial emotion recognition for autonomous vehicle drivers, An |
| Automated iceberg tracking with a machine | learning | approach applied to SAR imagery: A Weddell sea case study |
| Automated Identification of Landfast Sea Ice in the Laptev Sea from the True-Color MODIS Images Using the Method of Deep | learning | |
| Automated invasive ductal carcinoma detection based using deep transfer | learning | with whole-slide images |
| Automated | learning | for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions |
| Automated | learning | Framework With Limited and Cross-Domain Data for Traffic Equipment Detection from Surveillance Videos, An |
| Automated | learning | of rules using genetic operators |
| Automated Machine | learning | (AutoML) Method of Risk Prediction for Decision-Making of Autonomous Vehicles, An |
| Automated Machine | learning | for High-Throughput Image-Based Plant Phenotyping |
| Automated Machine | learning | Framework in Unmanned Aircraft Systems: New Insights into Agricultural Management Practices Recognition Approaches, An |
| Automated mapping of building facades by machine | learning | |
| Automated Mapping of Woody Debris over Harvested Forest Plantations Using UAVs, High-Resolution Imagery, and Machine | learning | |
| Automated Marine Oil Spill Detection Using Deep | learning | Instance Segmentation Model |
| Automated Mass Detection in Mammograms Using Cascaded Deep | learning | and Random Forests |
| Automated Opal Grading by Imaging and Statistical | learning | |
| Automated Pneumoconiosis Detection on Chest X-Rays Using Cascaded | learning | with Real and Synthetic Radiographs |
| Automated Procurement of Training Data for Machine | learning | Algorithm on Ship Detection Using AIS Information |
| Automated Progressive | learning | for Efficient Training of Vision Transformers |
| Automated School Location Mapping at Scale from Satellite Imagery Based on Deep | learning | |
| Automated segmentation of the optic disc from fundus images using an asymmetric deep | learning | network |
| Automated Semantic Modelling of Building Interiors From Images And Derived Point Clouds Based on Deep | learning | Methods |
| Automated Simulation Framework for Urban Wind Environments Based on Aerial Point Clouds and Deep | learning | |
| Automated Snow Mapper Powered by Machine | learning | , An |
| automated system to detect crop diseases using deep | learning | , An |
| Automated unsupervised | learning | -based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI) |
| Automated Vehicle Identification Based on Car-Following Data With Machine | learning | |
| Automated VIIRS Boat Detection Based on Machine | learning | and Its Application to Monitoring Fisheries in the East China Sea |
| Automated visual inspection of target parts for train safety based on deep | learning | |
| Automated Water Segmentation and River Level Detection on Camera Images Using Transfer | learning | |
| Automated Workflow for Lung Nodule Follow-up Recommendation Using Deep | learning | , An |
| Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep | learning | Approach |
| Automatic 3d Building Model Generation Using Deep | learning | Methods Based on Cityjson and 2d Floor Plans |
| Automatic 3D building reconstruction from multi-view aerial images with deep | learning | |
| Automatic Accident Detection, Segmentation and Duration Prediction Using Machine | learning | |
| Automatic annotation of court games with structured output | learning | |
| Automatic Annotation of Hyperspectral Images and Spectral Signal Classification of People and Vehicles in Areas of Dense Vegetation with Deep | learning | |
| Automatic annotation of tennis games: An integration of audio, vision, and | learning | |
| automatic approach for tree species detection and profile estimation of urban street trees using deep | learning | and Google street view images, An |
| Automatic Appropriate Segment Extraction from Shots Based on | learning | from Example Videos |
| Automatic building change image quality assessment in high resolution remote sensing based on deep | learning | |
| Automatic Check-Out via Prototype-Based Classifier | learning | from Single-Product Exemplars |
| Automatic Classification of Fresco Fragments: A Machine and Deep | learning | Study |
| Automatic Classification of Mass Spectra by Means of Digital | learning | Nets: Existence of Characteristic Features of Chemical Class in Mass Spectra |
| Automatic Classification of Photos by Tourist Attractions Using Deep | learning | Model and Image Feature Vector Clustering |
| Automatic classification of traffic incident's severity using machine | learning | approaches |
| Automatic cleaning and segmentation of web images based on colors to build | learning | databases |
| Automatic CRP Mapping Using Nonparametric Machine | learning | Approaches |
| Automatic Damage Detection of Stone Cultural Property Based On Deep | learning | Algorithm |
| Automatic Deep | learning | Bowhead Whale Whistle Recognizing Method Based on Adaptive SWT: Applying to the Beaufort Sea, An |
| Automatic Deep Sparse Multi-Trial Vector-based Differential Evolution clustering with manifold | learning | and incremental technique |
| Automatic defect inspection system for beer bottles based on deep residual | learning | |
| Automatic Defect Segmentation by Unsupervised Anomaly | learning | |
| Automatic Depth Extraction from 2D Images Using a Cluster-Based | learning | Framework |
| Automatic design of nonlinear filters by nearest neighbor | learning | |
| Automatic detection and localization of thighbone fractures in X-ray based on improved deep | learning | method |
| Automatic Detection for Road Voids from GPR Images using Deep | learning | Method |
| Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer | learning | |
| Automatic Detection of Impervious Surfaces from Remotely Sensed Data Using Deep | learning | |
| Automatic Detection of Injection Attacks by Machine | learning | in NoSQL Databases |
| Automatic detection of keratoconus on Pentacam images using feature selection based on deep | learning | |
| Automatic detection of Martian dark slope streaks by machine | learning | using HiRISE images |
| Automatic Detection of Nonverbal Behavior Predicts | learning | in Dyadic Interactions |
| Automatic Detection of Pseudocodes in Scholarly Documents Using Machine | learning | |
| Automatic Detection of Tuberculosis Bacilli from Microscopic Sputum Smear Images Using Faster R-CNN, Transfer | learning | and Augmentation |
| Automatic Digitization of Engineering Diagrams using Deep | learning | and Graph Search |
| Automatic Dimensionality Estimation for Manifold | learning | through Optimal Feature Selection |
| Automatic Discovery of Railway Train Driving Modes Using Unsupervised Deep | learning | |
| Automatic Discovery, Association Estimation and | learning | of Semantic Attributes for a Thousand Categories |
| Automatic Eigentemplate | learning | for Sparse Template Tracker |
| Automatic estimation of deterioration level on transmission towers via deep extreme | learning | machine based on local receptive field |
| Automatic Estrus Cycle Identification System on Female Dogs Based on Deep | learning | |
| Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep | learning | Frameworks in Computer Vision |
| Automatic Extraction of Bare Soil Land from High-Resolution Remote Sensing Images Based on Semantic Segmentation with Deep | learning | |
| Automatic Extraction of Gravity Waves from All-Sky Airglow Image Based on Machine | learning | |
| Automatic extraction of impervious surfaces from high resolution remote sensing images based on deep | learning | |
| Automatic Extraction of Indoor Spatial Information from Floor Plan Image: A Patch-Based Deep | learning | Methodology Application on Large-Scale Complex Buildings |
| Automatic Extraction of Seismic Landslides in Large Areas with Complex Environments Based on Deep | learning | : An Example of the 2018 Iburi Earthquake, Japan |
| Automatic extraction of urban impervious surfaces based on deep | learning | and multi-source remote sensing data |
| Automatic Eye Type Detection in Retinal Fundus Image Using Fusion of Transfer | learning | and Anatomical Features |
| Automatic Face Aging in Videos via Deep Reinforcement | learning | |
| Automatic Facial Attractiveness Prediction by Deep Multi-Task | learning | |
| Automatic Facial Expression | learning | Method Based on Humanoid Robot XIN-REN |
| Automatic Feature | learning | for Robust Shadow Detection |
| Automatic Feature | learning | for Spatio-Spectral Image Classification With Sparse SVM |
| Automatic Feature | learning | to Grade Nuclear Cataracts Based on Deep Learning |
| Automatic Feature | learning | to Grade Nuclear Cataracts Based on Deep Learning |
| Automatic Features Detection in a Fluvial Environment through Machine | learning | Techniques Based on UAVs Multispectral Data |
| Automatic fetal face detection from ultrasound volumes via | learning | 3D and 2D information |
| Automatic fire pixel detection using image processing: a comparative analysis of rule-based and machine | learning | -based methods |
| Automatic First Arrival Picking via Deep | learning | With Human Interactive Learning |
| Automatic First Arrival Picking via Deep | learning | With Human Interactive Learning |
| Automatic fish age estimation from otolith images using statistical | learning | |
| automatic gastric polyp detection technique using deep | learning | , An |
| Automatic Gaze Analysis: A Survey of Deep | learning | Based Approaches |
| Automatic Generation of Object Class Descriptions Using Symbolic | learning | Techniques |
| Automatic generation of optimal road trajectory for the rescue vehicle in case of emergency on mountain freeway using reinforcement | learning | approach |
| Automatic Generation of Robot Program Code: | learning | from Perceptual Data |
| Automatic Human Knee Cartilage Segmentation from Multi-contrast MR Images Using Extreme | learning | Machines and Discriminative Random Fields |
| Automatic Identification and Dynamic Monitoring of Open-Pit Mines Based on Improved Mask R-CNN and Transfer | learning | |
| Automatic Identification of Diatom Morphology using Deep | learning | |
| Automatic Identification of Liquefaction Induced by 2021 Maduo Mw7.3 Earthquake Based on Machine | learning | Methods |
| Automatic Identification of Overpass Structures: A Method of Deep | learning | |
| Automatic Image Attribute Selection for Zero-Shot | learning | of Object Categories |
| Automatic Image Segmentation and Classification Using On-line Shape | learning | |
| Automatic Inspection of Bridge Bolts Using Unmanned Aerial Vision and Adaptive Scale Unification-Based Deep | learning | |
| Automatic Inspection of Cultural Monuments Using Deep and Tensor-Based | learning | on Hyperspectral Imagery |
| Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep | learning | |
| Automatic Itinerary Planning Using Triple-Agent Deep Reinforcement | learning | |
| Automatic Label Placement of Area-features Using Deep | learning | |
| Automatic labeling of large amounts of handwritten characters with gate-guided dynamic deep | learning | |
| Automatic | learning | and extraction of multi-local features |
| Automatic | learning | of an activity-based semantic scene model |
| Automatic | learning | of Appearance Face Models |
| Automatic | learning | of Articulated Skeletons from 3D Marker Trajectories |
| Automatic | learning | of Background Semantics in Generic Surveilled Scenes |
| Automatic | learning | of Conceptual Knowledge in Image Sequences for Human Behavior Interpretation |
| Automatic | learning | of Edit Costs Based on Interactive and Adaptive Graph Recognition |
| Automatic | learning | of Gesture Recognition Model Using SOM and SVM |
| Automatic | learning | of Image Representations Combining Content and Metadata |
| Automatic | learning | of structural models for workpiece recognition systems |
| Automatic | learning | -Based Framework for Robust Nucleus Segmentation, An |
| Automatic License Plate Recognition via sliding-window darknet-YOLO deep | learning | |
| Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep | learning | Model Based on 3D Convolution and Convolutional LSTM |
| Automatic Lung Cancer Follow-up Recommendation with 3d Deep | learning | |
| Automatic Machine | learning | of Decision Rules for Classification Problems in Image Analysis |
| Automatic Mapping of Center Pivot Irrigation Systems from Satellite Images Using Deep | learning | |
| Automatic Mapping of Thermokarst Landforms from Remote Sensing Images Using Deep | learning | : A Case Study in the Northeastern Tibetan Plateau |
| Automatic martian dust storm detection via decision level fusion basedondeep extreme | learning | machine |
| Automatic Measurement of Visual Attention to Video Content using Deep | learning | |
| Automatic Mep Component Detection with Deep | learning | |
| Automatic Modelling of 3d Trees Using Aerial Lidar Point Cloud Data And Deep | learning | |
| Automatic Modulation Classification Using Deep | learning | Based on Sparse Autoencoders With Nonnegativity Constraints |
| Automatic Multi-Circle Detection on Images Using the Teaching | learning | Based Optimisation Algorithm |
| Automatic Neural Network Compression by Sparsity-Quantization Joint | learning | : A Constrained Optimization-Based Approach |
| Automatic Object Recoloring Using Adversarial | learning | |
| Automatic Optic Disk and Cup Segmentation of Fundus Images Using Deep | learning | |
| Automatic Post-Disaster Damage Mapping Using Deep- | learning | Techniques for Change Detection: Case Study of the Tohoku Tsunami |
| Automatic Production of Deep | learning | Benchmark Dataset for Affine-Invariant Feature Matching |
| Automatic Programming of Binary Morphological Machines by Design of Statistically Optimal Operators in the Context of Computational | learning | Theory |
| Automatic Quantification of Plant Disease from Field Image Data Using Deep | learning | |
| Automatic Quantification of Tumour Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised | learning | Methods |
| Automatic Rail Surface Multi-Flaw Identification Based on a Deep | learning | Powered Framework, The |
| Automatic recognition of earth rock embankment leakage based on UAV passive infrared thermography and deep | learning | |
| Automatic Recognition of | learning | -Centered Emotions |
| Automatic Road Extraction from Historical Maps Using Deep | learning | Techniques: A Regional Case Study of Turkey in a German World War II Map |
| Automatic Sea-Ice Classification of SAR Images Based on Spatial and Temporal Features | learning | |
| Automatic Segmentation Based on AdaBoost | learning | and Graph-Cuts |
| Automatic Segmentation Based on Deep | learning | Techniques for Diabetic Foot Monitoring Through Multimodal Images |
| Automatic segmentation of brain MRI through | learning | by example |
| Automatic Segmentation of Bulk Material Heaps Using Color, Texture, and Topography from Aerial Data and Deep | learning | -Based Computer Vision |
| Automatic segmentation of left and right ventricles in cardiac MRI using 3D-ASM and deep | learning | |
| Automatic Similarity | learning | Using SOTM for CBIR of the WT/VQ Coded Images |
| Automatic Skin Lesion Segmentation Based on Texture Analysis and Supervised | learning | |
| Automatic Skin Segmentation for Gesture Recognition Combining Region and Support Vector Machine Active | learning | |
| Automatic Spatial-Spectral Feature Selection for Hyperspectral Image via Discriminative Sparse Multimodal | learning | |
| Automatic Steganographic Distortion | learning | Using a Generative Adversarial Network |
| Automatic sub-category partitioning and parts localization for | learning | a robust object model |
| Automatic Thread-Level Canvas Analysis: A machine- | learning | approach to analyzing the canvas of paintings |
| Automatic UAV Forced Landing Site Detection Using Machine | learning | |
| Automatic Vehicle Pollution Detection Using Feedback Based Iterative Deep | learning | |
| Automatic Visual Concept | learning | for Social Event Understanding |
| Automatic Waveform Recognition of Overlapping LPI Radar Signals Based on Multi-Instance Multi-Label | learning | |
| Automatic Weakly Supervised Object Detection From High Spatial Resolution Remote Sensing Images via Dynamic Curriculum | learning | |
| Automatic Windthrow Detection Using Very-High-Resolution Satellite Imagery and Deep | learning | |
| Automatically Discovering Novel Visual Categories With Adaptive Prototype | learning | |
| Automatically labeling video data using multi-class active | learning | |
| Automatically | learning | structural units in educational videos with the hierarchical hidden markov models |
| Automatically mining Relevant Variable Interactions Via Sparse Bayesian | learning | |
| Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine | learning | |
| Automating Ground Control Point Detection in Drone Imagery: From Computer Vision to Deep | learning | |
| Automating Parameter | learning | for Classifying Terrestrial LiDAR Point Cloud Using 2D Land Cover Maps |
| Automating Powerline Inspection: A Novel Multisensor System for Data Analysis Using Deep | learning | |
| AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter | learning | |
| Autonomous Audio-Supported | learning | of Visual Classifiers for Traffic Monitoring |
| Autonomous Detection of Mouse-Ear Hawkweed Using Drones, Multispectral Imagery and Supervised Machine | learning | |
| Autonomous Driving | learning | Preference of Collision Avoidance Maneuvers |
| Autonomous Driving: Part 2- | learning | and Cognition |
| Autonomous Generation of Service Strategy for Household Tasks: A Progressive | learning | Method With A Priori Knowledge and Reinforcement Learning |
| Autonomous Generation of Service Strategy for Household Tasks: A Progressive | learning | Method With A Priori Knowledge and Reinforcement Learning |
| Autonomous | learning | of Object Appearances using Colour Contour Frames |
| Autonomous Manipulation | learning | for Similar Deformable Objects via Only One Demonstration |
| Autonomous Mobile Robot Navigation and | learning | |
| Autonomous navigation and sign detector | learning | |
| Autonomous Navigation Through Case-Based | learning | |
| Autonomous Planetary Landing via Deep Reinforcement | learning | and Transfer Learning |
| Autonomous Planetary Landing via Deep Reinforcement | learning | and Transfer Learning |
| Autonomous Planned Color | learning | on a Mobile Robot Without Labeled Data |
| Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer | learning | , An |
| Autonomous Vehicle Cut-In Algorithm for Lane-Merging Scenarios via Policy-Based Reinforcement | learning | Nested Within Finite-State Machine |
| AutoNovel: Automatically Discovering and | learning | Novel Visual Categories |
| Autorf: Auto | learning | Receptive Fields with Spatial Pooling |
| AutoRF: | learning | 3D Object Radiance Fields from Single View Observations |
| AutoScale: | learning | to Scale for Crowd Counting |
| AutoSegEdge: Searching for the edge device real-time semantic segmentation based on multi-task | learning | |
| Autosimulate: (quickly) | learning | Synthetic Data Generation |
| AutoSynth: | learning | to Generate 3D Training Data for Object Point Cloud Registration |
| AutoTransition: | learning | to Recommend Video Transition Effects |
| AUV-Net: | learning | Aligned UV Maps for Texture Transfer and Synthesis |
| Auxiliaries' power and energy demand prediction of battery electric vehicles using system identification and deep | learning | |
| Auxiliary | learning | for Self-Supervised Video Representation via Similarity-based Knowledge Distillation |
| Auxiliary Tasks for Efficient | learning | of Point-Goal Navigation |
| AuxMix: Semi-Supervised | learning | with Unconstrained Unlabeled Data |
| Avalanche RL: A Continual Reinforcement | learning | Library |
| Avalanche: an End-to-End Library for Continual | learning | |
| AVD-Net: Attention Value Decomposition Network For Deep Multi-Agent Reinforcement | learning | |
| Average Top-k Aggregate Loss for Supervised | learning | |
| AVGZSLNet: Audio-Visual Generalized Zero-Shot | learning | by Reconstructing Label Features from Multi-Modal Embeddings |
| AVM Image Quality Enhancement by Synthetic Image | learning | for Supervised Deblurring |
| Avoiding Lingering in | learning | Active Recognition by Adversarial Disturbance |
| AVPL: Augmented visual perception | learning | for person Re-identification and beyond |
| AVT: Unsupervised | learning | of Transformation Equivariant Representations by Autoencoding Variational Transformations |
| Axis | learning | for Orientated Objects Detection in Aerial Images |
| Azimuth-Aware Discriminative Representation | learning | for Semi-Supervised Few-Shot SAR Vehicle Recognition |
| B-line Detection and Localization by Means of Deep | learning | : Preliminary In-vitro Results |
| Baby steps towards few-shot | learning | with multiple semantics |
| Back to Basics: Unsupervised | learning | of Optical Flow via Brightness Constancy and Motion Smoothness |
| Back to Event Basics: Self-Supervised | learning | of Image Reconstruction for Event Cameras via Photometric Constancy |
| Back to Old Constraints to Jointly Supervise | learning | Depth, Camera Motion and Optical Flow in a Monocular Video |
| Back to Reality: | learning | Data-Efficient 3D Object Detector with Shape Guidance |
| Back to the Feature: | learning | Robust Camera Localization from Pixels to Pose |
| Back to the future: a night photography rendering ISP without deep | learning | |
| Back to the Future: | learning | Shape Models from 3D CAD Data |
| Back-dropout transfer | learning | for action recognition |
| Backdoor Attacks Against Deep | learning | Systems in the Physical World |
| Backdoor Attacks on Self-Supervised | learning | |
| Backdoor Defense via Deconfounded Representation | learning | |
| Background Invariance by Adversarial | learning | |
| Background | learning | for robust face recognition |
| Background | learning | for Robust Face Recognition With PCA in the Presence of Clutter |
| Background modeling by subspace | learning | on spatio-temporal patches |
| Background modeling through dictionary | learning | |
| Background Removal of Multiview Images by | learning | Shape Priors |
| Background Subtraction in Videos using Bayesian | learning | with Motion Information |
| Background Subtraction using Incremental Subspace | learning | |
| Background Subtraction via Robust Dictionary | learning | |
| Background Subtraction with Dynamic Noise Sampling and Complementary | learning | |
| Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace | learning | Methods |
| Bad teacher or unruly student: Can deep | learning | say something in Image Forensics analysis? |
| BadCM: Invisible Backdoor Attack Against Cross-Modal | learning | |
| BAFL: Federated | learning | with Base Ablation for Cost Effective Communication |
| Bag dissimilarity regularized multi-instance | learning | |
| Bag of Embedded Words | learning | for text retrieval |
| Bag of shape descriptor using unsupervised deep | learning | for non-rigid shape recognition |
| Bag Oversampling Approach for Class Imbalance in Multiple Instance | learning | , A |
| Bag-of-Importance Model With Locality-Constrained Coding Based Feature | learning | for Video Summarization, A |
| Bagging very weak learners with lazy local | learning | |
| Bagging-based saliency distribution | learning | for visual saliency detection |
| BAL: Balancing Diversity and Novelty for Active | learning | |
| Balance | learning | for ship detection from synthetic aperture radar remote sensing imagery |
| Balanced and Hierarchical Relation | learning | for One-shot Object Detection |
| Balanced Contrastive | learning | for Long-Tailed Visual Recognition |
| Balanced Multimodal | learning | via On-the-fly Gradient Modulation |
| balanced random | learning | strategy for CNN based Landsat image segmentation under imbalanced and noisy labels, A |
| Balanced Self-Paced | learning | for Generative Adversarial Clustering Network |
| Balanced softmax cross-entropy for incremental | learning | with and without memory |
| Balancing Between Forgetting and Acquisition in Incremental Subpopulation | learning | |
| Balancing Stability and Plasticity Through Advanced Null Space in Continual | learning | |
| BALAS: Empirical Bayesian | learning | in the relevance feedback for image retrieval |
| Bald eagle search optimization with deep transfer | learning | enabled age-invariant face recognition model |
| BaLeNAS: Differentiable Architecture Search via the Bayesian | learning | Rule |
| BALQUE: Batch active | learning | by querying unstable examples with calibrated confidence |
| Banana Mapping in Heterogenous Smallholder Farming Systems Using High-Resolution Remote Sensing Imagery and Machine | learning | Models with Implications for Banana Bunchy Top Disease Surveillance |
| Band-Optimized Bidirectional LSTM Deep | learning | Model for Bathymetry Inversion |
| Bangla Sign alphabet recognition with zero-shot and transfer | learning | |
| Bank of Quantization Models: A Data-Specific Approach to | learning | Binary Codes for Large-Scale Retrieval Applications |
| BARC: | learning | to Regress 3D Dog Shape from Images by Exploiting Breed Information |
| Barycentric Representation and Metric | learning | for Facial Expression Recognition |
| Barzilai-Borwein-based adaptive | learning | rate for deep learning |
| Barzilai-Borwein-based adaptive | learning | rate for deep learning |
| baseline for semi-supervised | learning | of efficient semantic segmentation models, A |
| Baseline on Continual | learning | Methods for Video Action Recognition, A |
| baseline regularization scheme for transfer | learning | with convolutional neural networks, A |
| Basic Visual Disciplines in Heritage Conservation: Outline of Selected Perspectives in Teaching And | learning | |
| Basis Expansion Approaches for Regularized Sequential Dictionary | learning | Algorithms With Enforced Sparsity for fMRI Data Analysis |
| Basis scaling and double pruning for efficient inference in network-based transfer | learning | |
| BASS Net: Band-Adaptive Spectral-Spatial Feature | learning | Neural Network for Hyperspectral Image Classification |
| BASSL: Boundary-aware Self-supervised | learning | for Video Scene Segmentation |
| Batch mode active | learning | for multi-label image classification with informative label correlation mining |
| Batch Mode Active | learning | for Object Detection Based on Maximum Mean Discrepancy |
| Batch mode Adaptive Multiple Instance | learning | for computer vision tasks |
| Batch Reinforcement | learning | With a Nonparametric Off-Policy Policy Gradient |
| Batch-Mode Active- | learning | Methods for the Interactive Classification of Remote Sensing Images |
| Batch-Mode Regularized Multimetric Active | learning | Framework for Classification of Hyperspectral Images, A |
| BatchFormer: | learning | to Explore Sample Relationships for Robust Representation Learning |
| BatchFormer: | learning | to Explore Sample Relationships for Robust Representation Learning |
| Bathymetric Detection of Fluvial Environments through UASs and Machine | learning | Systems |
| Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine | learning | |
| Battlefield Image Situational Awareness Application Based on Deep | learning | |
| Bayes empirical Bayes approach to unsupervised | learning | of parameters in pattern recognition |
| Bayes-true data generator for evaluation of supervised and unsupervised | learning | methods, A |
| Bayesian Active | learning | for Choice Models With Deep Gaussian Processes |
| Bayesian Active | learning | for Keyword Spotting in Handwritten Documents |
| Bayesian Active | learning | for Maximal Information Gain on Model Parameters |
| Bayesian and Classical Machine | learning | Methods: A Comparison for Tree Species Classification with LiDAR Waveform Signatures |
| Bayesian Approach to Multimodal Visual Dictionary | learning | , A |
| Bayesian Approach to Policy Recognition and State Representation | learning | , A |
| Bayesian Approach to Reinforcement | learning | of Vision-Based Vehicular Control, A |
| Bayesian Approach to Tracking | learning | Detection, A |
| bayesian approach to unsupervised one-shot | learning | of object categories, A |
| Bayesian belief network for positive unlabeled | learning | with uncertainty |
| Bayesian belief network | learning | algorithms for modeling contextual relationships in natural imagery: a comparative study |
| Bayesian Bio-inspired Model for | learning | Interactive Trajectories |
| Bayesian Collaborative | learning | for Whole-Slide Image Classification |
| Bayesian Context-Dependent | learning | for Anomaly Classification in Hyperspectral Imagery |
| Bayesian Correlation Filter | learning | With Gaussian Scale Mixture Model for Visual Tracking |
| Bayesian Deep | learning | for Aircraft Hard Landing Safety Assessment |
| Bayesian Deep | learning | for Image Reconstruction: From structured sparsity to uncertainty estimation |
| Bayesian Deep | learning | Framework for End-To-End Prediction of Emotion From Heartbeat, A |
| Bayesian dictionary | learning | for hyperspectral image super resolution in mixed Poisson-Gaussian noise |
| Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active | learning | |
| Bayesian Federated | learning | Framework With Online Laplace Approximation, A |
| Bayesian Function | learning | Using MCMC Methods |
| Bayesian Grammar | learning | for Inverse Procedural Modeling |
| Bayesian Hierarchical Model for | learning | Natural Scene Categories, A |
| Bayesian hybrid generative discriminative | learning | based on finite Liouville mixture models |
| Bayesian Hyperspectral Image Segmentation With Discriminative Class | learning | |
| Bayesian Image Interpolation Based on the | learning | and Estimation of Higher Bandwavelet Coefficients |
| Bayesian | learning | Based Approach for Clustering of Satellite Images, A |
| Bayesian | learning | of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation |
| Bayesian | learning | of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction |
| Bayesian | learning | of Occupancy Grids |
| Bayesian | learning | of Sparse Classifiers |
| Bayesian | learning | of Sparse Multiscale Image Representations |
| Bayesian | learning | with Gaussian Processes for Supervised Classification of Hyperspectral Data |
| Bayesian | learning | , Bayes Network, Bayesian Networks |
| Bayesian | learning | , global competition and unsupervised image segmentation |
| Bayesian Machine | learning | : EEG/MEG signal processing measurements |
| Bayesian Network Refinement Via Machine | learning | Approach |
| Bayesian network structure | learning | and inference in indoor vs. outdoor image classification |
| Bayesian Network Structure | learning | and Inference Methods for Handwriting |
| Bayesian Network Structure | learning | by Recursive Autonomy Identification |
| Bayesian Network Structure | learning | Using Causality |
| Bayesian networks for spatial | learning | : a workflow on using limited survey data for intelligent learning in spatial agent-based models |
| Bayesian networks for spatial | learning | : a workflow on using limited survey data for intelligent learning in spatial agent-based models |
| Bayesian Networks | learning | Algorithms for Online Form Classification |
| Bayesian Nonparametric Dictionary | learning | for Compressed Sensing MRI |
| Bayesian Nonparametric Methods for Partially-Observable Reinforcement | learning | |
| Bayesian online | learning | on Riemannian manifolds using a dual model with applications to video object tracking |
| Bayesian Online Multitask | learning | of Gaussian Processes |
| Bayesian pot-assembly from fragments as problems in perceptual-grouping and geometric- | learning | |
| Bayesian Prompt | learning | for Image-Language Model Generalization |
| Bayesian regularized nonnegative matrix factorization based face features | learning | |
| Bayesian Texture Classification Based on Contourlet Transform and BYY Harmony | learning | of Poisson Mixtures |
| Bayesian Transfer | learning | for Object Detection in Optical Remote Sensing Images |
| Bayesian-Deep- | learning | Estimation of Earthquake Location From Single-Station Observations |
| BBN: Bilateral-Branch Network With Cumulative | learning | for Long-Tailed Visual Recognition |
| BCE-Net: Reliable building footprints change extraction based on historical map and up-to-date images using contrastive | learning | |
| Bcnet: | learning | Body and Cloth Shape from a Single Image |
| BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask | learning | |
| Beam search for | learning | a deep Convolutional Neural Network of 3D shapes |
| Beam-Space Post-Doppler Reduced-Dimension STAP Based on Sparse Bayesian | learning | |
| Beatrix: A Self- | learning | System for Off-Line Recognition of Handwritten Texts |
| Behavior Monitoring Using | learning | Techniques and Regular-Expressions-Based Pattern Matching |
| Belief Propagation Reloaded: | learning | BP-Layers for Labeling Problems |
| benchmark and comparison of active | learning | for logistic regression, A |
| Benchmark and Investigation of Deep- | learning | -based Techniques for Detecting Natural Disasters in Aerial Images, A |
| Benchmark Of Machine | learning | Methods For Classification Of A Sentinel-2 Image |
| Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep | learning | Methods for Individual Tree Detection in RGB High-Resolution Images |
| Benchmarking and scaling of deep | learning | models for land cover image classification |
| Benchmarking Deep | learning | for On-Board Space Applications |
| Benchmarking Deep | learning | Models for Cloud Detection in Landsat-8 and Sentinel-2 Images |
| Benchmarking deep | learning | techniques for face recognition |
| Benchmarking equivariance for Deep | learning | based optical flow estimators |
| Benchmarking Machine | learning | Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data |
| Benchmarking of Update | learning | Strategies on Digit Classifier Systems |
| Benchmarking Probabilistic Deep | learning | Methods for License Plate Recognition |
| Benchmarking Representation | learning | for Natural World Image Collections |
| Benchmarking Self-Supervised | learning | on Diverse Pathology Datasets |
| Benefiting from Bicubically Down-Sampled Images for | learning | Real-World Image Super-Resolution |
| Benthic Habitat Mapping Model and Cross Validation Using Machine- | learning | Classification Algorithms |
| Best of Both Worlds: Multimodal Contrastive | learning | with Tabular and Imaging Data |
| Best-Case Results for Nearest-Neighbor | learning | |
| Beta Process Joint Dictionary | learning | for Coupled Feature Spaces with Application to Single Image Super-Resolution |
| Beta Process Multiple Kernel | learning | |
| Better CMOS Produces Clearer Images: | learning | Space-Variant Blur Estimation for Blind Image Super-Resolution |
| Between Classification-Error Approximation and Weighted Least-Squares | learning | |
| Between-Class | learning | for Image Classification |
| BEV-DG: Cross-Modal | learning | under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation |
| BEVFormer: | learning | Bird's-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers |
| BEVPlace: | learning | LiDAR-based Place Recognition using Bird's Eye View Images |
| Beyond 3DMM: | learning | to Capture High-Fidelity 3D Face Shape |
| Beyond a Gaussian Denoiser: Residual | learning | of Deep CNN for Image Denoising |
| Beyond a Video Frame Interpolator: A Space Decoupled | learning | Approach to Continuous Image Transition |
| Beyond accuracy: | learning | selective Bayesian classifiers with minimal test cost |
| Beyond active noun tagging: Modeling contextual interactions for multi-class active | learning | |
| Beyond Appearance: A Semantic Controllable Self-Supervised | learning | Framework for Human-Centric Visual Tasks |
| Beyond Attributes: High-Order Attribute Features for Zero-Shot | learning | |
| Beyond Bounding-Boxes: | learning | Object Shape by Model-Driven Grouping |
| Beyond Chi^2 Difference: | learning | Optimal Metric for Boundary Detection |
| Beyond Classifiers: Remote Sensing Change Detection with Metric | learning | |
| Beyond Comparing Image Pairs: Setwise Active | learning | for Relative Attributes |
| Beyond Correlation Filters: | learning | Continuous Convolution Operators for Visual Tracking |
| Beyond Cross-Entropy: | learning | Highly Separable Feature Distributions for Robust and Accurate Classification |
| Beyond Deep Residual | learning | for Image Restoration: Persistent Homology-Guided Manifold Simplification |
| Beyond Facial Expressions: | learning | Human Emotion from Body Gestures |
| Beyond FCM: Graph-theoretic post-processing algorithms for | learning | and representing the data structure |
| Beyond Fixed Grid: | learning | Geometric Image Representation with a Deformable Grid |
| Beyond Greedy Search: Tracking by Multi-Agent Reinforcement | learning | -Based Beam Search |
| Beyond Hard Negative Mining: Efficient Detector | learning | via Block-Circulant Decomposition |
| Beyond Image Borders: | learning | Feature Extrapolation for Unbounded Image Composition |
| Beyond Instance Discrimination: Relation-Aware Contrastive Self-Supervised | learning | |
| Beyond ITQ: Efficient binary multi-view subspace | learning | for instance retrieval |
| Beyond Joints: | learning | Representations From Primitive Geometries for Skeleton-Based Action Recognition and Detection |
| Beyond Local Reasoning for Stereo Confidence Estimation with Deep | learning | |
| Beyond Mahalanobis distance: | learning | second-order discriminant function for people verification |
| Beyond Mahalanobis metric: Cayley-Klein metric | learning | |
| Beyond Measurement: Extracting Vegetation Height from High Resolution Imagery with Deep | learning | |
| Beyond Modality Alignment: | learning | Part-Level Representation for Visible-Infrared Person Re-Identification |
| Beyond Near Duplicates: | learning | Hash Codes for Efficient Similar-Image Retrieval |
| Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for | learning | Visual Classifiers |
| Beyond Object Recognition: A New Benchmark towards Object Concept | learning | |
| Beyond Question-Based Biases: Assessing Multimodal Shortcut | learning | in Visual Question Answering |
| Beyond Semantic Attributes: Discrete Latent Attributes | learning | for Zero-Shot Recognition |
| Beyond Short Clips: End-to-End Video-Level | learning | with Collaborative Memories |
| Beyond Single Reference for Training: Underwater Image Enhancement via Comparative | learning | |
| Beyond spatial pooling: Fine-grained representation | learning | in multiple domains |
| Beyond spatial pyramids: Receptive field | learning | for pooled image features |
| Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation | learning | |
| Beyond tag relevance: Integrating visual attention model and multi-instance | learning | for tag saliency ranking |
| Beyond the Deep Metric | learning | : Enhance the Cross-Modal Matching with Adversarial Discriminative Domain Regularization |
| BFS-Tree of ranking references for unsupervised manifold | learning | , A |
| Bi-Attention enhanced representation | learning | for image-text matching |
| Bi-calibration Networks for Weakly-Supervised Video Representation | learning | |
| Bi-dictionary | learning | model for medical image reconstruction from undersampled data |
| Bi-directional Contrastive | learning | for Domain Adaptive Semantic Segmentation |
| Bi-Directional Dermoscopic Feature | learning | and Multi-Scale Consistent Decision Fusion for Skin Lesion Segmentation |
| Bi-Directional Distribution Alignment for Transductive Zero-Shot | learning | |
| Bi-Directional Object-Context Prioritization | learning | for Saliency Ranking |
| Bi-level deep mutual | learning | assisted multi-task network for occluded person re-identification |
| Bi-level Doubly Variational | learning | for Energy-based Latent Variable Models |
| bi-level formulation for multiple kernel | learning | via self-paced training, A |
| Bi-Level Meta- | learning | for Few-Shot Domain Generalization |
| bi-level metric | learning | framework via self-paced learning weighting, A |
| bi-level metric | learning | framework via self-paced learning weighting, A |
| Bi-Objective Crop Mapping from Sentinel-2 Images Based on Multiple Deep | learning | Networks |
| Bi-PointFlowNet: Bidirectional | learning | for Point Cloud Based Scene Flow Estimation |
| Bi3D: Bi-Domain Active | learning | for Cross-Domain 3D Object Detection |
| Bias-Based Soft Label | learning | for Facial Expression Recognition |
| Bias-Eliminated Semantic Refinement for Any-Shot | learning | |
| Bias-Eliminating Augmentation | learning | for Debiased Federated Learning |
| Bias-Eliminating Augmentation | learning | for Debiased Federated Learning |
| Bias: Bijective Input and Surjectivity In Zero Shot | learning | |
| Biclustering Collaborative | learning | for Cross-Domain Person Re-Identification |
| BiCnet-TKS: | learning | Efficient Spatial-Temporal Representation for Video Person Re-Identification |
| Bidirectional Consistency Constrained Template Update | learning | for Siamese Trackers |
| Bidirectional Deep- | learning | -Based Spectral Attention Mechanism for Hyperspectral Data Classification, A |
| Bidirectional Feature | learning | Network for RGB-D Salient Object Detection |
| Bidirectional | learning | for Domain Adaptation of Semantic Segmentation |
| Bidirectional Mapping Coupled GAN for Generalized Zero-Shot | learning | |
| Bidirectional Spatio-Temporal Feature | learning | With Multiscale Evaluation for Video Anomaly Detection |
| Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature | learning | for Hyperspectral Image Classification |
| BiFormer: | learning | Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation |
| Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive | learning | , Motion Modeling and Particle Filtering Techniques |
| Big Data Management Algorithms, Deep | learning | -Based Object Detection Technologies, and Geospatial Simulation and Sensor Fusion Tools in the Internet of Robotic Things |
| Big Transfer (BIT): General Visual Representation | learning | |
| Big Universe, Big Data: Machine | learning | and Image Analysis for Astronomy |
| Bilateral Grid | learning | for Stereo Matching Networks |
| Bilateral | learning | for color-based tracking |
| Bilateral Memory Consolidation for Continual | learning | |
| Bilevel Feature | learning | for Video Saliency Detection |
| Bilevel Imaging | learning | Problems as Mathematical Programs with Complementarity Constraints: Reformulation and Theory |
| Bilevel Model-Based Discriminative Dictionary | learning | for Recognition |
| Bilevel Multiview Latent Space | learning | |
| Bilevel Optimization Approach for Parameter | learning | in Variational Models, A |
| Bilevel Optimization Using Stationary Point of Lower-Level Objective Function for Discriminative Basis | learning | in Nonnegative Matrix Factorization |
| Bilevel Parameter | learning | for Higher-Order Total Variation Regularisation Models |
| Bilinear Discriminative Dictionary | learning | for Face Recognition |
| Bilinear Scoring Function Search for Knowledge Graph | learning | |
| BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep | learning | from synthetic images |
| binarization method with | learning | -built rules for document images produced by cameras, A |
| Binary Code | learning | via Iterative Distance Adjustment |
| Binary feature | learning | with local spectral context-aware attention for classification of hyperspectral images |
| Binary Halftone Image Resolution Increasing by Decision Tree | learning | |
| Binary Hyperspectral Change Detection Based on 3d Convolution Deep | learning | |
| Binary Image 2D Shape | learning | and Recognition Based on Lattice-Computing (LC) Techniques |
| Binary Noise Guidance | learning | for Remote Sensing Image-to-Image Translation |
| Binary operator design by k-nearest neighbor | learning | with application to image resolution increasing |
| Binary Pattern Dictionary | learning | for Gene Expression Representation in Drosophila Imaginal Discs |
| Binary Tree for Probability | learning | in Eye Detection, A |
| binaural heterophasic adaptive beamformer and its deep | learning | assisted implementation, A |
| Binge Watching: Scaling Affordance | learning | from Sitcoms |
| Binocular Fusion Net: Deep | learning | Visual Comfort Assessment for Stereoscopic 3D |
| Binocular Matching Method for Detecting and Locating Marine Resources Using Binocular Cameras and Deep | learning | |
| Binocular Mutual | learning | for Improving Few-shot Classification |
| Bio-Inspired Deep Attribute | learning | Towards Facial Aesthetic Prediction |
| Bio-inspired | learning | Approach for the Classification of Risk Zones in a Smart Space, A |
| Bio-Inspired Representation | learning | for Visual Attention Prediction |
| Bioinspired Scene Classification by Deep Active | learning | With Remote Sensing Applications |
| Biological Model of Object Recognition with Feature | learning | , A |
| Biologically Inspired Hexagonal Deep | learning | For Hexagonal Image Generation |
| Biologically Inspired Machine | learning | -Based Trajectory Analysis in Intelligent Dispatching Energy Storage System |
| Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature | learning | |
| Biologically Inspired Online | learning | of Visual Autonomous Driving |
| Biologically-Inspired Top-Down | learning | Model Based on Visual Attention, A |
| Biomarker Localization From Deep | learning | Regression Networks |
| Biomass Estimation with GNSS Reflectometry Using a Deep | learning | Retrieval Model |
| Biomedical compound figure detection using deep | learning | and fusion techniques |
| Biometric Authentication Using Finger-Vein Patterns with Deep- | learning | and Discriminant Correlation Analysis |
| Biometric classifier update using online | learning | : A case study in near infrared face verification |
| Biometric presentation attacks: Handcrafted features versus deep | learning | approaches |
| Biometricnet: Deep Unconstrained Face Verification Through | learning | of Metrics Regularized onto Gaussian Distributions |
| Biometrics from Brain Electrical Activity: A Machine | learning | Approach |
| Biomimetic Perception | learning | for Human Sensorimotor Control |
| BiPR-RL: Portrait relighting via bi-directional consistent deep reinforcement | learning | |
| Biprediction-Based Video Quality Enhancement via | learning | |
| BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-Aided Adversarial | learning | |
| Bird Song Recognition Based on Deep Transfer | learning | with XGBoost |
| BiSPL: Bidirectional Self-Paced | learning | for Recognition From Web Data |
| Bit-Scalable Deep Hashing With Regularized Similarity | learning | for Image Retrieval and Person Re-Identification |
| BitNet: | learning | -Based Bit-Depth Expansion |
| Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta- | learning | Approach |
| Blackthorn: Large-Scale Interactive Multimodal | learning | |
| BlackVIP: Black-Box Visual Prompting for Robust Transfer | learning | |
| Blazingly Fast Video Object Segmentation with Pixel-Wise Metric | learning | |
| Blended Emotion in-the-Wild: Multi-label Facial Expression Recognition Using Crowdsourced Annotations and Deep Locality Feature | learning | |
| Blind and Compact Denoising Network Based on Noise Order | learning | |
| Blind deblurring and denoising via a | learning | deep CNN denoiser prior and an adaptive L 0-regularised gradient prior for passive millimetre-wave images |
| Blind decision making: Reinforcement | learning | with delayed observations |
| Blind Geometric Distortion Correction on Images Through Deep | learning | |
| Blind High Dynamic Range Image Quality Assessment Using Deep | learning | |
| Blind Hyperspectral Image Denoising with Degradation Information | learning | |
| Blind Image Blur Estimation via Deep | learning | |
| Blind Image Deconvolution Using Machine | learning | for Three-Dimensional Microscopy |
| Blind Image Denoising via Dynamic Dual | learning | |
| Blind Image Quality Assessment by | learning | from Multiple Annotators |
| Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask | learning | Perspective |
| Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal | learning | Meets Static Image Understanding |
| Blind multi-image super-resolution based on combination of ANN | learning | and non-subsampled Contourlet directional image representation |
| Blind Primed Supervised (BLIPS) | learning | for MR Image Reconstruction |
| Blind quality estimator for 3D images based on binocular combination and extreme | learning | machine |
| Blind Realistic Blur Assessment Based on Discrepancy | learning | |
| Blind Restoration of a Single Real Turbulence-Degraded Image Based on Self-Supervised | learning | |
| Blind Restoration of Atmospheric Turbulence-Degraded Images Based on Curriculum | learning | |
| Blind screen content image quality measurement based on sparse feature | learning | |
| Blind Separation of Image Sources via Adaptive Dictionary | learning | |
| Blind Spot Monitoring Using Deep | learning | |
| Blind Super-Resolution for SAR Images with Speckle Noise Based on Deep | learning | Probabilistic Degradation Model and SAR Priors |
| Blind super-resolution using a | learning | -based approach |
| Blind System Identification Using Sparse | learning | for TDOA Estimation of Room Reflections |
| Blind Unitary Transform | learning | for Inverse Problems in Light-Field Imaging |
| Blind Universal Bayesian Image Denoising With Gaussian Noise Level | learning | |
| Blind Video Quality Assessment With Weakly Supervised | learning | and Resampling Strategy |
| Blind VQA on 360° Video via Progressively | learning | From Pixels, Frames, and Video |
| Block and Group Regularized Sparse Modeling for Dictionary | learning | |
| Block cosparsity overcomplete | learning | transform image segmentation algorithm based on burr model |
| Block Randomized Optimization for Adaptive Hypergraph | learning | |
| Block-Row Sparse Multiview Multilabel | learning | for Image Classification |
| Block-Scrambling-Based Encryption with Deep- | learning | -Driven Remote Sensing Image Classification |
| Blockchain and Deep Reinforcement | learning | Empowered Spatial Crowdsourcing in Software-Defined Internet of Vehicles |
| Blockchain and | learning | -Based Secure and Intelligent Task Offloading for Vehicular Fog Computing |
| Blockchain Data Mining With Graph | learning | : A Survey |
| Blockchain-Integrated Multiagent Deep Reinforcement | learning | for Securing Cooperative Adaptive Cruise Control |
| BLoG: Bootstrapped Graph Representation | learning | with Local and Global Regularization for Recommendation |
| BLTRCNN-Based 3-D Articulatory Movement Prediction: | learning | Articulatory Synchronicity From Both Text and Audio Inputs |
| Blur-Invariant Deep | learning | for Blind-Deblurring |
| Blur-Robust Face Recognition via Transformation | learning | |
| BO-DRNet: An Improved Deep | learning | Model for Oil Spill Detection by Polarimetric Features from SAR Images |
| Body Part-Based Representation | learning | for Occluded Person Re-Identification |
| Body-Part Motion Synthesis System and Its Evaluation for Discovery | learning | of Dance |
| Body2Hands: | learning | to Infer 3D Hands from Conversational Gesture Body Dynamics |
| BodyMap: | learning | Full-Body Dense Correspondence Map |
| Bold but Cautious: Unlocking the Potential of Personalized Federated | learning | through Cautiously Aggressive Collaboration |
| BoMW: Bag of Manifold Words for One-Shot | learning | Gesture Recognition From Kinect |
| Bone age assessment using deep | learning | architecture: A Survey |
| BooDet: Gradient Boosting Object Detection With Additive | learning | -Based Prediction Aggregation |
| Boosted Cross-Domain Dictionary | learning | for Visual Categorization |
| Boosted Dictionary | learning | for Image Compression |
| Boosted Exemplar | learning | for Action Recognition and Annotation |
| Boosted Exemplar | learning | for human action recognition |
| Boosted Genetic Algorithm Using Machine | learning | for Traffic Control Optimization |
| Boosted | learning | in dynamic Bayesian networks for multimodal speaker detection |
| Boosted | learning | of Visual Word Weighting Factors for Bag-of-Features Based Medical Image Retrieval |
| Boosted Metric | learning | for Efficient Identity-Based Face Retrieval |
| Boosted multi-class semi-supervised | learning | for human action recognition |
| Boosted multi-task | learning | for face verification with applications to web image and video search |
| Boosted Multiple Kernel | learning | for Scene Category Recognition |
| Boosting adaptive linear weak classifiers for online | learning | and tracking |
| Boosting and structure | learning | in dynamic Bayesian networks for audio-visual speaker detection |
| boosting approach for supervised Mahalanobis distance metric | learning | , A |
| boosting approach to | learning | receptive fields for scene categorization, A |
| Boosting binary masks for multi-domain | learning | through affine transformations |
| Boosting chain | learning | for object detection |
| Boosting Chamfer Matching by | learning | Chamfer Distance Normalization |
| Boosting Contrastive Self-Supervised | learning | with False Negative Cancellation |
| Boosting deep attribute | learning | via support vector regression for fast moving crowd counting |
| Boosting Deep Transfer | learning | for Covid-19 Classification |
| Boosting Few-Shot Hyperspectral Image Classification Using Pseudo-Label | learning | |
| Boosting Few-Shot | learning | With Adaptive Margin Loss |
| Boosting Few-Shot Visual | learning | With Self-Supervision |
| Boosting for multiclass semi-supervised | learning | |
| Boosting for transfer | learning | from multiple data sources |
| Boosting for transfer | learning | with multiple sources |
| Boosting Framework for Visuality-Preserving Distance Metric | learning | and Its Application to Medical Image Retrieval, A |
| Boosting Generalization in Bio-signal Classification by | learning | the Phase-Amplitude Coupling |
| Boosting Hyperspectral Image Classification With Unsupervised Feature | learning | |
| Boosting Image Steganalysis Under Universal Deep | learning | Architecture Incorporating Ensemble Classification Strategy |
| Boosting Invariance and Efficiency in Supervised | learning | |
| Boosting Long-tailed Object Detection via Step-wise | learning | on Smooth-tail Data |
| Boosting Novel Category Discovery Over Domains with Soft Contrastive | learning | and All in One Classifier |
| Boosting Positive and Unlabeled | learning | for Anomaly Detection With Multi-Features |
| Boosting Robust | learning | Via Leveraging Reusable Samples in Noisy Web Data |
| Boosting scene character recognition by | learning | canonical forms of glyphs |
| Boosting Self-Supervised | learning | via Knowledge Transfer |
| Boosting Semi-Supervised | learning | by bridging high and low-confidence predictions |
| Boosting Semi-Supervised | learning | by Exploiting All Unlabeled Data |
| Boosting Separability in Semisupervised | learning | for Object Classification |
| Boosting separated softmax with discrimination for class incremental | learning | |
| Boosting Supervised | learning | in Small Data Regimes with Conditional GAN Augmentation |
| Boosting the Generalization Capability in Cross-Domain Few-shot | learning | via Noise-enhanced Supervised Autoencoder |
| Boosting Variational Inference With Margin | learning | for Few-Shot Scene-Adaptive Anomaly Detection |
| Boosting Vehicle-to-Cloud Communication by Machine | learning | -Enabled Context Prediction |
| Boosting Video Object Segmentation via Space-Time Correspondence | learning | |
| Boosting Video Representation | learning | with Multi-Faceted Integration |
| Boosting VLAD with Supervised Dictionary | learning | and High-Order Statistics |
| Boosting Weakly Supervised Object Detection via | learning | Bounding Box Adjusters |
| Boosting Zero-Shot Image Classification via Pairwise Relationship | learning | |
| Boosting-based transductive | learning | for text detection |
| BoostMIS: Boosting Medical Image Semi-supervised | learning | with Adaptive Pseudo Labeling and Informative Active Annotation |
| BoostTree and BoostForest for Ensemble | learning | |
| Bootstrapped Representation | learning | for Skeleton-Based Action Recognition |
| Bootstrapping Algorithm for | learning | Linear Models of Object Classes, A |
| Bootstrapping Method for Autonomous and in Site | learning | of Generic Navigation Behaviour, A |
| Bootstrapping SVM active | learning | by incorporating unlabelled images for image retrieval |
| Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual | learning | Paradigm |
| Borrowing Treasures from the Wealthy: Deep Transfer | learning | through Selective Joint Fine-Tuning |
| Botanical data retrieval system supporting discovery | learning | |
| bottom-up and top-down optimization framework for | learning | a compositional hierarchy of object classes, A |
| Bottom-up Approach for | learning | Visual Object Detection Models from Unreliable Sources, A |
| Bottom-Up Gaze Shifts and Fixations | learning | by Imitation |
| Bottom-Up Gazetteers: | learning | from the Implicit Semantics of Geotags |
| Boundary Based Out-of-Distribution Classifier for Generalized Zero-shot | learning | , A |
| Boundary Delineator for Martian Crater Instances with Geographic Information and Deep | learning | |
| Boundary | learning | by Optimization with Topological Constraints |
| Boundary-Assisted | learning | for Building Extraction from Optical Remote Sensing Imagery |
| Boundary-aware Backward-Compatible Representation via Adversarial | learning | in Image Retrieval |
| Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement | learning | |
| BoundaryNet: Extraction and Completion of Road Boundaries With Deep | learning | Using Mobile Laser Scanning Point Clouds and Satellite Imagery |
| BowelNet: Joint Semantic-Geometric Ensemble | learning | for Bowel Segmentation From Both Partially and Fully Labeled CT Images |
| Box2seg: Attention Weighted Loss and Discriminative Feature | learning | for Weakly Supervised Segmentation |
| BP-net: deep | learning | -based superpixel segmentation for RGB-D image |
| BPGrad: Towards Global Optimality in Deep | learning | via Branch and Pruning |
| BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial | learning | |
| Brain Atlas Fusion from High-Thickness Diagnostic Magnetic Resonance Images by | learning | -Based Super-Resolution |
| Brain Imaging Genomics: Integrated Analysis and Machine | learning | |
| Brain micro-vasculature imaging: An unsupervised deep | learning | algorithm for segmenting mouse brain volume probed by high-resolution phase-contrast X-ray tomography |
| Brain tumor classification using sparse coding and dictionary | learning | |
| Brain Tumor Classification using Under-Sampled k-Space Data: A Deep | learning | Approach |
| Brain tumor diagnosis based on metaheuristics and deep | learning | |
| Brain tumor segmentation from multiple MRI sequences using multiple kernel | learning | |
| Brain tumour cell segmentation and detection using deep | learning | networks |
| brain tumour classification on the magnetic resonance images using convolutional neural network based privacy-preserving federated | learning | , A |
| Brain tumour segmentation of MR images based on custom attention mechanism with transfer- | learning | |
| Brain-Inspired Concept Networks: | learning | Concepts from Cluttered Scenes |
| Brain-Machine Coupled | learning | Method for Facial Emotion Recognition |
| Branch Identification and Junction Points Location for Apple Trees Based on Deep | learning | |
| BRDF Estimation of Complex Materials with Nested | learning | |
| Breaking Limits of Remote Sensing by Deep | learning | From Simulated Data for Flood and Debris-Flow Mapping |
| Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer | learning | Using Deep Neural Nets |
| Breast cancer histopathology image classification using kernelized weighted extreme | learning | machine |
| Breast Cancer Tumor Image Classification Using Deep | learning | Image Data Generator |
| Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised | learning | |
| Breast mass classification based on supervised contrastive | learning | and multi-view consistency penalty on mammography |
| Breath-Hold CBCT-Guided CBCT-to-CT Synthesis via Multimodal Unsupervised Representation Disentanglement | learning | |
| Bregman Divergences and Surrogates for | learning | |
| Bridge-GAN: Interpretable Representation | learning | for Text-to-Image Synthesis |
| Bridging Images and Videos: A Simple | learning | Framework for Large Vocabulary Video Object Detection |
| Bridging Machine | learning | and Cryptography in Defence Against Adversarial Attacks |
| Bridging the Domain Shift by Domain Adaptive Dictionary | learning | |
| Bridging the gap between crop breeding and GeoAI: Soybean yield prediction from multispectral UAV images with transfer | learning | |
| Bridging the gap between debiasing and privacy for deep | learning | |
| Bridging the Gap Between Few-Shot and Many-Shot | learning | via Distribution Calibration |
| Bridging the Gap Between | learning | in Discrete and Continuous Environments for Vision-and-Language Navigation |
| Brief Overview of Deep | learning | Approaches to Pattern Extraction and Recognition in Paintings and Drawings, A |
| BrightFlow: Brightness-Change-Aware Unsupervised | learning | of Optical Flow |
| Bring Evanescent Representations to Life in Lifelong Class Incremental | learning | |
| Bringing Earth Observation to Classrooms: The Importance of Out-of-School | learning | Places and E-Learning |
| Bringing Earth Observation to Classrooms: The Importance of Out-of-School | learning | Places and E-Learning |
| Bringing Earth Observation to Schools with Digital Integrated | learning | Environments |
| Bringing Lunar LiDAR Back Down to Earth: Mapping Our Industrial Heritage through Deep Transfer | learning | |
| Broad Study on the Transferability of Visual Representations with Contrastive | learning | , A |
| Broaden Your Views for Self-Supervised Video | learning | |
| Broader Study of Cross-domain Few-shot | learning | , A |
| BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation | learning | and Image Synthesis |
| BubbleNets: | learning | to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames |
| Budget-Aware Adapters for Multi-Domain | learning | |
| Budget-aware Pruning for Multi-domain | learning | |
| Budgeted Batch Mode Active | learning | with Generalized Cost and Utility Functions |
| Buffer-MIL: Robust Multi-instance | learning | with a Buffer-based Approach |
| Building A Model for Reservoir Characterisation In GIS Using Machine | learning | |
| Building an Online | learning | Module for Satellite Remote Sensing Applications in Hydrologic Science |
| Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric | learning | |
| Building crack identification and total quality management method based on deep | learning | |
| Building Damage Assessment Using Deep | learning | and Ground-Level Image Data |
| Building Detection From Sar Images Using Unet Deep | learning | Method |
| Building Extraction and Number Statistics in WUI Areas Based on UNet Structure and Ensemble | learning | |
| Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep | learning | and Guided Filters |
| Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on Machine | learning | and Segmentation |
| Building Facade Color Distribution, Color Harmony and Diversity in Relation to Street Functions: Using Street View Images and Deep | learning | |
| Building Facades to Normal Maps: Adversarial | learning | from Single View Images |
| Building Function Type Identification Using Mobile Signaling Data Based on a Machine | learning | Method |
| Building Height Estimation using Street-View Images, Deep- | learning | , Contour Processing, and Geospatial Data |
| Building high-level features using large scale unsupervised | learning | |
| Building outline delineation: From aerial images to polygons with an improved end-to-end | learning | framework |
| Building Outline Delineation: From Very High Resolution Remote Sensing Imagery to Polygons with An Improved End-to-end | learning | Framework |
| Building Outline Extraction From Aerial Imagery and Digital Surface Model with a Frame Field | learning | Framework |
| Building Polygon Extraction from Aerial Images and Digital Surface Models with a Frame Field | learning | Framework |
| Building Roof Segmentation and Modeling from LIDAR Point Clouds Using Machine | learning | Techniques |
| Building Segmentation in Agricultural Land Using High Resolution Satellite Imagery Based on Deep | learning | Approach |
| Building semantic understanding beyond deep | learning | from sound and vision |
| Building3D: An Urban-Scale Dataset and Benchmarks for | learning | Roof Structures from Point Clouds |
| BuildingNet: | learning | to Label 3D Buildings |
| Buildings Detection and Extraction by Machine | learning | |
| Bundle Methods for Structured Output | learning | : Back to the Roots |
| BuresNet: Conditional Bures Metric for Transferable Representation | learning | |
| Burnt Forest Estimation from Sentinel-2 Imagery of Australia using Unsupervised Deep | learning | |
| Burst Photography for | learning | to Enhance Extremely Dark Images |
| Bus Crowdedness Sensing System Using Deep- | learning | Based Object Detection, A |
| BUS-CAD: A computer-aided diagnosis system for breast tumor classification in ultrasound images using grid-search-optimized machine | learning | algorithms with extended and Boruta-selected features |
| Business email classification using incremental subspace | learning | |
| BYY annealing | learning | algorithm for Gaussian mixture with automated model selection, The |
| C-GZS: Controllable Person Image Synthesis Based on Group-Supervised Zero-Shot | learning | |
| C-MIL: Continuation Multiple Instance | learning | for Weakly Supervised Object Detection |
| C-SFDA: A Curriculum | learning | Aided Self-Training Framework for Efficient Source Free Domain Adaptation |
| C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep | learning | |
| C2 AM: Contrastive | learning | of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation |
| C3-SemiSeg: Contrastive Semi-supervised Segmentation via Cross-set | learning | and Dynamic Class-balancing |
| CA-SSL: Class-Agnostic Semi-Supervised | learning | for Detection and Segmentation |
| Caching in Dynamic Environments: A Near-Optimal Online | learning | Approach |
| CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-Adversarial Contrastive | learning | |
| CaDeX: | learning | Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism |
| CADN: A weakly supervised | learning | -based category-aware object detection network for surface defect detection |
| CAFE: | learning | to Condense Dataset by Aligning Features |
| CafeBoost: Causal Feature Boost to Eliminate Task-Induced Bias for Class Incremental | learning | |
| CAG-QIL: Context-Aware Actionness Grouping via Q Imitation | learning | for Online Temporal Action Localization |
| Cage-Based Motion Recovery Using Manifold | learning | |
| CALDA: Improving Multi-Source Time Series Domain Adaptation With Contrastive Adversarial | learning | |
| Cali-NCE: Boosting Cross-modal Video Representation | learning | with Calibrated Alignment |
| Calibrank: Effective Lidar-Camera Extrinsic Calibration By Multi-Modal | learning | To Rank |
| Calibrated Domain-Invariant | learning | for Highly Generalizable Large Scale Re-Identification |
| Calibrating CNNs for Few-Shot Meta | learning | |
| CALTracker: Cross-Task Association | learning | for Multiple Object Tracking |
| Cam-softmax for discriminative deep feature | learning | |
| CAMEL: A Weakly Supervised | learning | Framework for Histopathology Image Segmentation |
| CaMEL: Mean Teacher | learning | for Image Captioning |
| Camera Alignment and Weighted Contrastive | learning | for Domain Adaptation in Video Person ReID |
| Camera Contrast | learning | for Unsupervised Person Re-Identification |
| Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta- | learning | |
| Camera Geometric Calibration Using Dynamic Single-Pixel Illumination With Deep | learning | Networks |
| Camera Invariant Feature | learning | for Unsupervised Person Re-Identification |
| Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer | learning | |
| Camera Self-Calibration: Deep | learning | from Driving Scenes |
| Camera-aware cluster-instance joint online | learning | for unsupervised person re-identification |
| Camera-Aware Recurrent | learning | and Earth Mover's Test-Time Adaption for Generalizable Person Re-Identification |
| Camera-Driven Representation | learning | for Unsupervised Domain Adaptive Person Re-identification |
| CameraNet: A Two-Stage Framework for Effective Camera ISP | learning | |
| Can Deep | learning | Learn the Principle of Closed Contour Detection? |
| Can Deep | learning | Recognize Subtle Human Activities? |
| Can feature-based inductive transfer | learning | help person re-identification? |
| Can laboratory parameters be an alternative to CT and RT-PCR in the diagnosis of COVID-19? A machine | learning | approach |
| Can Machine | learning | Algorithms Successfully Predict Grassland Aboveground Biomass? |
| Can Reinforcement | learning | Lead to Healthy Life?: Simulation Study Based on User Activity Logs |
| Can Representation | learning | for Multimodal Image Registration be Improved by Supervision of Intermediate Layers? |
| Can Self-Supervised Representation | learning | Methods Withstand Distribution Shifts and Corruptions? |
| Can Selfless | learning | improve accuracy of a single classification task? |
| Can the Structure Similarity of Training Patches Affect the Sea Surface Temperature Deep | learning | Super-Resolution? |
| Can We Learn Heuristics for Graphical Model Inference Using Reinforcement | learning | ? |
| CAN-Bus Attack Detection With Deep | learning | |
| Cancelable multi-biometric recognition system based on deep | learning | |
| Cancer Survival Prediction From Whole Slide Images With Self-Supervised | learning | and Slide Consistency |
| Candidate-Aware Selective Disambiguation Based on Normalized Entropy for Instance-Dependent Partial-Label | learning | |
| CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot | learning | |
| Canonical Correlation Analysis With Low-Rank | learning | for Image Representation |
| Canonical Fields: Self-Supervised | learning | of Pose-Canonicalized Neural Fields |
| Canonical Image Selection by Visual Context | learning | |
| Canopy Height Estimation from Single Multispectral 2D Airborne Imagery Using Texture Analysis and Machine | learning | in Structurally Rich Temperate Forests |
| Canopy Height Estimation Using Sentinel Series Images through Machine | learning | Models in a Mangrove Forest |
| Canopy Height Mapping by Sentinel 1 and 2 Satellite Images, Airborne LiDAR Data, and Machine | learning | |
| Canopy Volume Extraction of Citrus reticulate Blanco cv. Shatangju Trees Using UAV Image-Based Point Cloud Deep | learning | |
| CanvasVAE: | learning | to Generate Vector Graphic Documents |
| CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot | learning | from Natural Language |
| Cap2Det: | learning | to Amplify Weak Caption Supervision for Object Detection |
| Capacity Estimation of Solar Farms Using Deep | learning | on High-Resolution Satellite Imagery |
| CAPRI-Net: | learning | Compact CAD Shapes with Adaptive Primitive Assembly |
| CaPriDe | learning | : Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss |
| CaPriDe | learning | : Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss |
| Capture, | learning | , and Synthesis of 3D Speaking Styles |
| Capturing Car-Following Behaviors by Deep | learning | |
| Car that Knows Before You Do: Anticipating Maneuvers via | learning | Temporal Driving Models |
| CAR-Net: A Deep | learning | -Based Deformation Model for 3D/2D Coronary Artery Registration |
| Carbon Emissions Estimation and Spatiotemporal Analysis of China at City Level Based on Multi-Dimensional Data and Machine | learning | |
| Cardiotocography Analysis Using Conjunction of Machine | learning | Algorithms |
| CARNet: Context-Aware Residual | learning | for JPEG-LS Compressed Remote Sensing Image Restoration |
| CartoonLossGAN: | learning | Surface and Coloring of Images for Cartoonization |
| Cascade Attention Guided Residue | learning | GAN for Cross-Modal Translation |
| Cascade Attention: Multiple Feature Based | learning | for Image Captioning |
| Cascade Evidential | learning | for Open-world Weakly-supervised Temporal Action Localization |
| Cascade Graph Neural Networks for Few-Shot | learning | on Point Clouds |
| Cascade | learning | from adversarial synthetic images for accurate pupil detection |
| Cascade | learning | Method for Liver Lesion Detection in CT Images, A |
| Cascade Residual | learning | : A Two-Stage Convolutional Neural Network for Stereo Matching |
| Cascade residuals guided nonlinear dictionary | learning | |
| Cascaded active | learning | for object retrieval using multiscale coarse to fine analysis |
| cascaded framework with cross-modality transfer | learning | for whole heart segmentation, A |
| Cascaded Generative and Discriminative | learning | for Microcalcification Detection in Breast Mammograms |
| Cascaded Generative and Discriminative | learning | for Visual Tracking |
| Cascaded L1-norm Minimization | learning | (CLML) classifier for human detection |
| Cascaded probabilistic tracking with supervised dictionary | learning | |
| Cascaded Sequential Attention for Object Recognition with Informative Local Descriptors and Q- | learning | of Grouping Strategies |
| Cascaded Split-and-Aggregate | learning | with Feature Recombination for Pedestrian Attribute Recognition |
| Cascading Machine | learning | to Monitor Volcanic Thermal Activity Using Orbital Infrared Data: From Detection to Quantitative Evaluation |
| case study of | learning | assessment, flow, satisfaction and expressiveness of the music game: focused on elementary students' music appreciation learning, A |
| case study of | learning | assessment, flow, satisfaction and expressiveness of the music game: focused on elementary students' music appreciation learning, A |
| Case Study: Deep | learning | features for robust facial kinship verification |
| Cast Shadow Detection Based on Semi-supervised | learning | |
| Cast-GAN: | learning | To Remove Colour Cast From Underwater Images |
| CAST: | learning | Both Geometric and Texture Style Transfers for Effective Caricature Generation |
| Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised | learning | |
| CASTing Your Model: | learning | to Localize Improves Self-Supervised Representations |
| CAT: | learning | to collaborate channel and spatial attention from multi-information fusion |
| Cataract grading method based on deep convolutional neural networks and stacking ensemble | learning | |
| Catch: Context-based Meta Reinforcement | learning | for Transferrable Architecture Search |
| Categorization and | learning | of pen motion using hidden Markov models |
| Categorizing the feature space for two-class imbalance | learning | |
| Category Constrained | learning | Model for Scene Classification |
| Category Modeling from Just a Single Labeling: Use Depth Information to Guide the | learning | of 2D Models |
| Category Query | learning | for Human-Object Interaction Classification |
| Category Specific Dictionary | learning | for Attribute Specific Feature Selection |
| Category-Sensitive Incremental | learning | for Image-Based 3D Shape Reconstruction |
| Catheter Tracking: Filter-Based vs. | learning | -Based |
| Causal learner: A toolbox for causal structure and Markov blanket | learning | |
| Causal Meta-Reinforcement | learning | for Multimodal Remote Sensing Data Classification |
| Causal Structure | learning | of Bias for Fair Affect Recognition |
| Causality Inspired Representation | learning | for Domain Generalization |
| Causality-Driven One-Shot | learning | for Prostate Cancer Grading from MRI |
| CausalVAE: Disentangled Representation | learning | via Neural Structural Causal Models |
| CauSSL: Causality-Inspired Semi-Supervised | learning | for Medical Image Segmentation |
| Cayley- Klein Metric | learning | with Shrinkage-Expansion Constraints |
| CBA: Improving Online Continual | learning | via Continual Bias Adaptor |
| CbwLoss: Constrained Bidirectional Weighted Loss for Self-Supervised | learning | of Depth and Pose |
| CCDet: Confidence-Consistent | learning | for Dense Object Detection |
| CCL: Class-Wise Curriculum | learning | for Class Imbalance Problems |
| CCL: Cross-modal Correlation | learning | With Multigrained Fusion by Hierarchical Network |
| Cclsl: Combination of Contrastive | learning | and Supervised Learning for Handwritten Mathematical Expression Recognition |
| Cclsl: Combination of Contrastive | learning | and Supervised Learning for Handwritten Mathematical Expression Recognition |
| CCMN: A General Framework for | learning | With Class-Conditional Multi-Label Noise |
| CCRL: Contrastive Cell Representation | learning | |
| CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated | learning | |
| CDUL: CLIP-Driven Unsupervised | learning | for Multi-Label Image Classification |
| Cell morphology classification and clutter mitigation in phase-contrast microscopy images using machine | learning | |
| Cell tracking using deep neural networks with multi-task | learning | |
| Cell tracking via Structured Prediction and | learning | |
| Cellular QoE Prediction for Video Service Based on Causal Structure | learning | |
| Center-VAE with discriminative and semantic-relevant fine-tuning features for generalized zero-shot | learning | |
| Central Courtyard Feature Extraction in Remote Sensing Aerial Images Using Deep | learning | : A Case-Study of Iran |
| Centrality and Consistency: Two-Stage Clean Samples Identification for | learning | with Instance-Dependent Noisy Labels |
| Centralized and Localized Data Congestion Control Strategy for Vehicular Ad Hoc Networks Using a Machine | learning | Clustering Algorithm |
| CentriForce: Multiple-Domain Adaptation for Domain-Invariant Speaker Representation | learning | |
| Centroid-aware local discriminative metric | learning | in speaker verification |
| Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine | learning | in Morocco |
| Certain Object Segmentation Based on AdaBoost | learning | and Nodes Aggregation Iterative Graph-Cuts |
| Certainty driven consistency loss on multi-teacher networks for semi-supervised | learning | |
| Certainty Pooling for Multiple Instance | learning | |
| Certainty-Based Deep Fused Neural Network Using Transfer | learning | and Adaptive Movement Estimation for the Diagnosis of Cardiomegaly |
| Cervix Detection Driven Deep | learning | Approach for Cow Heat Analysis from Endoscopic Images, A |
| CFL-Net: Image Forgery Localization Using Contrastive | learning | |
| CFRLA-Net: A Context-Aware Feature Representation | learning | Anchor-Free Network for Pedestrian Detection |
| CGNet: Detecting computer-generated images based on transfer | learning | with attention module |
| Challenges and Imperatives of Deep | learning | Approaches for Detection of Melanoma: A Review |
| Challenges and Opportunities of Applying Reinforcement | learning | to Autonomous Racing |
| Challenges in Content-Based Image Indexing of Cultural Heritage Collections: Support vector machine active | learning | with applications to text classification |
| Challenges of Continuous Self-Supervised | learning | , The |
| Champagne: | learning | Real-world Conversation from Large-Scale Web Videos |
| Change Detection for Heterogeneous Remote Sensing Images with Improved Training of Hierarchical Extreme | learning | Machine (HELM) |
| Change Detection for Remote Sensing Images based on Semantic Prototypes and Contrastive | learning | |
| Change Detection of Amazonian Alluvial Gold Mining Using Deep | learning | and Sentinel-2 Imagery |
| Change Detection Using High Resolution Remote Sensing Images Based on Active | learning | and Markov Random Fields |
| Change-Aware Sampling and Contrastive | learning | for Satellite Images |
| Change-Detection Map | learning | Using Matching Pursuit |
| ChangeCLIP: Remote sensing change detection with multimodal vision-language representation | learning | |
| ChangeNet: A Deep | learning | Architecture for Visual Change Detection |
| Changes over the Last 35 Years in Alaska's Glaciated Landscape: A Novel Deep | learning | Approach to Mapping Glaciers at Fine Temporal Granularity |
| Channel Attention Based Iterative Residual | learning | for Depth Map Super-Resolution |
| Channel Augmented Joint | learning | for Visible-Infrared Recognition |
| Channel Pruning via Lookahead Search Guided Reinforcement | learning | |
| Channel-Wise Progressive | learning | For Lossless Image Compression |
| Character Attentiveness Analysis Based on Deep | learning | |
| Character Segmentation and Recognition of Variable-Length License Plates Using ROI Detection and Broad | learning | System |
| Character templates | learning | for textual images recognition as an example of learning in structural recognition |
| Character templates | learning | for textual images recognition as an example of learning in structural recognition |
| Characteristic Views Extraction Modal Based-on Deep Reinforcement | learning | for 3D Model Retrieval |
| Characterization and Removal of RFI Artifacts in Radar Data via Model-Constrained Deep | learning | Approach |
| Characterization of Myocardial Velocities by Multiple Kernel | learning | : Application to Heart Failure with Preserved Ejection Fraction |
| Characterizing Forest Cover and Landscape Pattern Using Multi-Source Remote Sensing Data with Ensemble | learning | |
| Characterizing Predicate Arity and Spatial Structure for Inductive | learning | of Game Rules |
| Characterizing Soil Stiffness Using Thermal Remote Sensing and Machine | learning | |
| Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, Machine | learning | , and Conformal Prediction |
| Chart Image Classification Using Multiple-Instance | learning | |
| Charting the Right Manifold: Manifold Mixup for Few-shot | learning | |
| Charting-based subspace | learning | for video-based human action classification |
| Cherry-Picking Gradients: | learning | Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation |
| Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance | learning | |
| ChildPredictor: A Child Face Prediction Framework With Disentangled | learning | |
| China's Wealth Capital Stock Mapping via Machine | learning | Methods |
| Chinese Street View Text: Large-Scale Chinese Text Reading With Partially Supervised | learning | |
| Chi^2 Metric | learning | for nearest neighbor classification and its analysis |
| CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised | learning | |
| Choosing the Right Horizontal Resolution for Gully Erosion Susceptibility Mapping Using Machine | learning | Algorithms: A Case in Highly Complex Terrain |
| CHORUS: | learning | Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images |
| Chronological Gazelle Optimization with Deep | learning | -Based pixel prediction for video steganography in H.264 video for defence applications |
| Chunk incremental | learning | for cost-sensitive hinge loss support vector machine |
| CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive | learning | |
| CIDOC CRM Game: A Serious Game Approach to Ontology | learning | , The |
| CIPPSRNet: A Camera Internal Parameters Perception Network Based Contrastive | learning | for Thermal Image Super-Resolution |
| Circle detection on images using | learning | automata |
| Circle: Color Invariant Representation | learning | for Unbiased Classification of Skin Lesions |
| Circular-Structured Representation for Visual Emotion Distribution | learning | , A |
| Cirl: A Category-instance Representation | learning | Framework for Tropical Cyclone Intensity Estimation |
| CIRL: Controllable Imitative Reinforcement | learning | for Vision-Based Self-driving |
| Cirrus Detection Based on RPCA and Fractal Dictionary | learning | in Infrared imagery |
| CISPC: Embedding Images and Point Clouds in a Joint Concept Space by Contrastive | learning | |
| City buses' future velocity prediction for multiple driving cycle: A meta supervised | learning | solution |
| City Scale Traffic Monitoring Using WorldView Satellite Imagery and Deep | learning | : A Case Study of Barcelona |
| Citywide Estimation of Parking Space Using Aerial Imagery and OSM Data Fusion with Deep | learning | and Fine-grained Annotation |
| CKDF: Cascaded Knowledge Distillation Framework for Robust Incremental | learning | |
| CL-GAN: Contrastive | learning | -based Generative Adversarial Network for Modality Transfer with Limited Paired Data |
| CL-Gym: Full-Featured PyTorch Library for Continual | learning | |
| CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive | learning | |
| CLAMP: Prompt-based Contrastive | learning | for Connecting Language and Animal Pose |
| CLAREL: Classification via retrieval loss for zero-shot | learning | |
| Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised | learning | |
| Class Boundary Exemplar Selection Based Incremental | learning | for Automatic Target Recognition |
| Class Incremental | learning | based on Local Structure Constraints in Feature Space |
| Class Incremental | learning | for Video Action Classification |
| Class Incremental | learning | With Task-Selection |
| Class Is Invariant to Context and Vice Versa: On | learning | Invariance for Out-Of-Distribution Generalization |
| Class knowledge overlay to visual feature | learning | for zero-shot image classification |
| Class Prior-Free Positive-Unlabeled | learning | with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery |
| Class Prototypes based Contrastive | learning | for Classifying Multi-Label and Fine-Grained Educational Videos |
| Class Rectification Hard Mining for Imbalanced Deep | learning | |
| Class Relatedness Oriented-Discriminative Dictionary | learning | for Multiclass Image Classification |
| Class Relationship Embedded | learning | for Source-Free Unsupervised Domain Adaptation |
| Class Switching according to Nearest Enemy Distance for | learning | from highly imbalanced data-sets |
| Class-attribute inconsistency | learning | for novelty detection |
| Class-Aware Analysis Dictionary | learning | for Pattern Classification |
| Class-Aware Contrastive Semi-Supervised | learning | |
| Class-Balanced Active | learning | for Image Classification |
| Class-Based Variational Representation | learning | For Robust Image Retrieval |
| Class-Dependent Discretization for Inductive | learning | from Continuous and Mixed-Mode Data |
| Class-Dependent Dissimilarity Measures for Multiple Instance | learning | |
| Class-Discriminative Feature Embedding For Meta- | learning | based Few-Shot Classification |
| Class-incremental Continual | learning | for Instance Segmentation with Image-level Weak Supervision |
| Class-Incremental Exemplar Compression for Class-Incremental | learning | |
| Class-Incremental Experience Replay for Continual | learning | under Concept Drift |
| Class-Incremental Grouping Network for Continual Audio-Visual | learning | |
| Class-Incremental | learning | by Knowledge Distillation with Adaptive Feature Consolidation |
| Class-Incremental | learning | for Action Recognition in Videos |
| Class-Incremental | learning | Method for SAR Images Based on Self-Sustainment Guidance Representation, A |
| Class-Incremental | learning | of Plant and Disease Detection: Growing Branches with Knowledge Distillation |
| Class-Incremental | learning | using Diffusion Model for Distillation and Replay |
| Class-incremental | learning | via Deep Model Consolidation |
| Class-Incremental | learning | with Cross-Space Clustering and Controlled Transfer |
| Class-Incremental | learning | with Generative Classifiers |
| Class-incremental | learning | with Pre-allocated Fixed Classifiers |
| Class-Incremental | learning | with Rectified Feature-Graph Preservation |
| Class-Incremental | learning | with Strong Pre-trained Models |
| Class-Incremental | learning | with Topological Schemas of Memory Spaces |
| Class-Incremental | learning | : Survey and Performance Evaluation on Image Classification |
| Class-Level Confidence Based 3D Semi-Supervised | learning | |
| class-modular GLVQ ensemble with outlier | learning | for handwritten digit recognition, A |
| Class-Oriented Discriminative Dictionary | learning | for Image Classification |
| Class-Oriented Self- | learning | Graph Embedding for Image Compact Representation |
| Class-Prototype Discriminative Network for Generalized Zero-Shot | learning | |
| Class-specific and self- | learning | local manifold structure for domain adaptation |
| Class-specific discriminative metric | learning | for scene recognition |
| Class-Specific Mahalanobis Distance Metric | learning | for Biological Image Classification |
| Class-specific mid-level feature | learning | with the Discriminative Group-wise Beta-Bernoulli process restricted Boltzmann machines |
| Class-Specific Reconstruction Transfer | learning | for Visual Recognition Across Domains |
| Class-Specific Reconstruction Transfer | learning | via Sparse Low-Rank Constraint |
| Class-Specific Sparse Multiple Kernel | learning | for Spectral-Spatial Hyperspectral Image Classification |
| Class-wise Attention Reinforcement for Semi-supervised Meta- | learning | |
| Class-Wise Denoising for Robust | learning | Under Label Noise |
| Class2Str: End to End Latent Hierarchy | learning | |
| Classifer combination based on active | learning | |
| Classification Algorithm Based on Improved Meta | learning | and Transfer Learning for Few-Shot Medical Images, A |
| Classification Algorithm Based on Improved Meta | learning | and Transfer Learning for Few-Shot Medical Images, A |
| Classification and clustering via dictionary | learning | with structured incoherence and shared features |
| Classification and identification of degraded alpine meadows based on machine | learning | techniques |
| Classification and Identification of Spectral Pixels with Low Maritime Occupancy Using Unsupervised Machine | learning | |
| Classification Method of Breast Pathological Image Based on Residual | learning | , A |
| Classification Method Study of Crops Remote Sensing with Deep | learning | , Machine Learning, and Google Earth Engine, The |
| Classification Method Study of Crops Remote Sensing with Deep | learning | , Machine Learning, and Google Earth Engine, The |
| Classification of abnormalities in digitized mammograms using Extreme | learning | Machine |
| Classification of Aerial Laser Scanning Point Clouds Using Machine | learning | : a Comparison Between Random Forest and Tensorflow |
| Classification of Aerial Point Clouds With Deep | learning | |
| Classification of Anomalous Pixels in the Focal Plane Arrays of Orbiting Carbon Observatory-2 and -3 via Machine | learning | |
| Classification of Arrhythmia by Using Deep | learning | with 2-D ECG Spectral Image Representation |
| Classification of Boulders in Coastal Environments Using Random Forest Machine | learning | on Topo-Bathymetric LiDAR Data |
| Classification of Breast Cancer Histology Images Through Transfer | learning | Using a Pre-trained Inception Resnet V2 |
| Classification of Breast Cancer Histology Images Using Transfer | learning | |
| Classification of Breast Cancer Histology Using Deep | learning | |
| Classification of breast cancer histopathological image with deep residual | learning | |
| Classification of breast mass in two-view mammograms via deep | learning | |
| Classification of Breast Micro-calcifications as Benign or Malignant Using Subtraction of Temporally Sequential Digital Mammograms and Machine | learning | |
| Classification of COPD with Multiple Instance | learning | |
| Classification of Daily Crop Phenology in PhenoCams Using Deep | learning | and Hidden Markov Models |
| Classification of dry age-related macular degeneration and diabetic macular oedema from optical coherence tomography images using dictionary | learning | |
| Classification of EEG Signals on VEP-Based BCI Systems With Broad | learning | |
| Classification of EEG signals to detect alcoholism using machine | learning | techniques |
| Classification of electroencephalogram records related to cursor movements with a hybrid method based on deep | learning | |
| Classification of engraved pottery sherds mixing deep- | learning | features by compact bilinear pooling |
| Classification of Fish Species Using Multispectral Data from a Low-Cost Camera and Machine | learning | |
| Classification of gene-expression data: The manifold-based metric | learning | way |
| Classification of Grapevine Leaf Images with Deep | learning | Ensemble Models |
| Classification of Ground-Based Cloud Images by Contrastive Self-Supervised | learning | |
| Classification of Hyperspectral Image Based on Task-Specific | learning | Network |
| Classification of Lakebed Geologic Substrate in Autonomously Collected Benthic Imagery Using Machine | learning | |
| Classification of Landscape Affected by Deforestation Using High-Resolution Remote Sensing Data and Deep- | learning | Techniques |
| Classification of Low-Level Atmospheric Structures Based on a Pyramid Representation and a Machine | learning | Method |
| Classification of Manifold | learning | Based Flight Fingerprints of UAVs in Air Traffic |
| Classification of Multi-Frequency Polarimetric SAR Images Based on Multi-Linear Subspace | learning | of Tensor Objects |
| Classification of neovascularization on retinal images using extreme | learning | machine |
| Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine- | learning | Techniques: Effect of Different Levels and Types of Noise on Accuracy, The |
| Classification of Non-Tumorous Facial Pigmentation Disorders Using Improved Smote and Transfer | learning | |
| Classification of Oil Painting Using Machine | learning | With Visualized Depth Information |
| Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced | learning | Approach |
| Classification of potential nuclei in prostate histology images using shape manifold | learning | |
| Classification of power quality events using deep | learning | on event images |
| Classification of Precipitation Types Based on Machine | learning | Using Dual-Polarization Radar Measurements and Thermodynamic Fields |
| Classification of RGB-D and Motion Capture Sequences Using Extreme | learning | Machine |
| Classification of Skin Lesions by Combining Multilevel | learning | s in a DenseNet Architecture |
| Classification of the Complex Agricultural Planting Structure with a Semi-Supervised Extreme | learning | Machine Framework |
| Classification of tumor in one single ultrasound image via a novel multi-view | learning | strategy |
| Classification of Typical Tree Species in Laser Point Cloud Based on Deep | learning | |
| Classification of UAV-based Photogrammetric Point Clouds of Riverine Species Using Machine | learning | Algorithms: A Case Study In the Palancia River, Spain |
| Classification of Volumetric Images Using Multi-Instance | learning | and Extreme Value Theorem |
| Classification vector quantization of image data using competitive | learning | |
| Classification Via Simplicial | learning | |
| Classification-based Multi-task | learning | for Efficient Pose Estimation Network |
| classification-oriented dictionary | learning | model: Explicitly learning the particularity and commonality across categories, A |
| classification-oriented dictionary | learning | model: Explicitly learning the particularity and commonality across categories, A |
| Classification-Reconstruction | learning | for Open-Set Recognition |
| Classified patch | learning | for spatially scalable video coding |
| Classifier and Exemplar Synthesis for Zero-Shot | learning | |
| Classifier hierarchy | learning | by means of genetic algorithms |
| Classifier | learning | with a new locality regularization method |
| Classifier | learning | with hidden information |
| Classifier | learning | with Prior Probabilities for Facial Action Unit Recognition |
| Classifier self-assessment: active | learning | and active noise correction for document classification |
| Classifier System for | learning | Spatial Representations Based on a Morphological Wave Propagation Algorithm, A |
| Classifier-Based | learning | of Nonlinear Feature Manifold for Visualization of Emotional Speech Prosody |
| Classifying Complex Mountainous Forests with L-Band SAR and Landsat Data Integration: A Comparison among Different Machine | learning | Methods in the Hyrcanian Forest |
| Classifying Crop Types Using Two Generations of Hyperspectral Sensors (Hyperion and DESIS) with Machine | learning | on the Cloud |
| Classifying Emotions and Engagement in Online | learning | Based on a Single Facial Expression Recognition Neural Network |
| Classifying spatiotemporal object trajectories using unsupervised | learning | of basis function coefficients |
| ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised | learning | |
| CLAST: Contrastive | learning | for Arbitrary Style Transfer |
| CLASTER: Clustering with Reinforcement | learning | for Zero-Shot Action Recognition |
| Claws: Clustering Assisted Weakly Supervised | learning | with Normalcy Suppression for Anomalous Event Detection |
| CLCC: Contrastive | learning | for Color Constancy |
| Clean affinity matrix | learning | with rank equality constraint for multi-view subspace clustering |
| CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive | learning | |
| Cleaning Noisy Labels by Negative Ensemble | learning | for Source-Free Unsupervised Domain Adaptation |
| CleanNet: Transfer | learning | for Scalable Image Classifier Training with Label Noise |
| CLEAR: Comprehensive | learning | Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging |
| CLEAR: Cumulative | learning | for One-Shot One-Class Image Recognition |
| CLECG: A Novel Contrastive | learning | Framework for Electrocardiogram Arrhythmia Classification |
| CleftNet: Augmented Deep | learning | for Synaptic Cleft Detection From Brain Electron Microscopy |
| CLIFER: Continual | learning | with Imagination for Facial Expression Recognition |
| Climate-Based Regionalization and Inclusion of Spectral Indices for Enhancing Transboundary Land-Use/Cover Classification Using Deep | learning | and Machine Learning |
| Climate-Based Regionalization and Inclusion of Spectral Indices for Enhancing Transboundary Land-Use/Cover Classification Using Deep | learning | and Machine Learning |
| Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep | learning | |
| CLIP-FO3D: | learning | Free Open-world 3D Scene Representations from 2D Dense CLIP |
| CLIP-Q: Deep Network Compression | learning | by In-parallel Pruning-Quantization |
| CLISAR-Net: A Deformation-Robust ISAR Image Classification Network Using Contrastive | learning | |
| CLN: Cross-Domain | learning | Network for 2D Image-Based 3D Shape Retrieval |
| CLNeRF: Continual | learning | Meets NeRF |
| Close Look at Deep | learning | with Small Data, A |
| Close-Loop Object Recognition Using Reinforcement | learning | |
| CLOSE: Curriculum | learning | on the Sharing Extent Towards Better One-Shot NAS |
| closed-form reduction of multi-class cost-sensitive | learning | to weighted multi-class learning, A |
| closed-form reduction of multi-class cost-sensitive | learning | to weighted multi-class learning, A |
| Closed-Loop Restoration Approach to Blurry Images Based on Machine | learning | and Feedback Optimization |
| Closer Look at Rehearsal-Free Continual | learning | *, A |
| CLOT: Contrastive | learning | -Driven and Optimal Transport-Based Training for Simultaneous Clustering |
| Clothes-Changing Person Re-Identification via Universal Framework With Association and Forgetting | learning | |
| Cloud Cover Nowcasting with Deep | learning | |
| Cloud Detection Autonomous System Based on Machine | learning | and COTS Components On-Board Small Satellites |
| Cloud Detection for High-Resolution Satellite Imagery Using Machine | learning | and Multi-Feature Fusion |
| Cloud Detection from FY-4A's Geostationary Interferometric Infrared Sounder Using Machine | learning | Approaches |
| Cloud Detection From Paired CrIS Water Vapor and CO2 Channels Using Machine | learning | Techniques |
| Cloud Detection of SuperView-1 Remote Sensing Images Based on Genetic Reinforcement | learning | |
| Cloud Detection Using an Ensemble of Pixel-Based Machine | learning | Models Incorporating Unsupervised Classification |
| Cloud Extraction from Chinese High Resolution Satellite Imagery by Probabilistic Latent Semantic Analysis and Object-Based Machine | learning | |
| Cloud Removal Based on Sparse Representation via Multitemporal Dictionary | learning | |
| Cloud Removal from Satellite Images Using a Deep | learning | Model with the Cloud-Matting Method |
| Cloud security based attack detection using transductive | learning | integrated with Hidden Markov Model |
| Cloud-Based Mapping Approach Using Deep | learning | and Very-High Spatial Resolution Earth Observation Data to Facilitate the SDG 11.7.1 Indicator Computation, A |
| Cloud-Based Monitoring and Evaluation of the Spatial-Temporal Distribution of Southeast Asia's Mangroves Using Deep | learning | |
| Cloud-to-Ground and Intra-Cloud Nowcasting Lightning Using a Semantic Segmentation Deep | learning | Network |
| CloudFCN: Accurate and Robust Cloud Detection for Satellite Imagery with Deep | learning | |
| Clouds Classification from Sentinel-2 Imagery with Deep Residual | learning | and Semantic Image Segmentation |
| CLR: Channel-wise Lightweight Reprogramming for Continual | learning | |
| CLSA: A Contrastive | learning | Framework With Selective Aggregation for Video Rescaling |
| CLUE: cluster-based retrieval of images by unsupervised | learning | |
| CLUE: Contrastive language-guided | learning | for referring video object segmentation |
| Cluster Kernel For | learning | Similarities Between Symmetric Positive Definite Matrix Time Series |
| Cluster, Split, Fuse, and Update: Meta- | learning | for Open Compound Domain Adaptive Semantic Segmentation |
| cluster-assumption based batch mode active | learning | technique, A |
| Cluster-Based Machine | learning | Ensemble Approach for Geospatial Data: Estimation of Health Insurance Status in Missouri, A |
| cluster-based strategy for active | learning | of RGB-D object detectors, A |
| Cluster-driven Graph Federated | learning | over Multiple Domains |
| Cluster-Guided Asymmetric Contrastive | learning | for Unsupervised Person Re-Identification |
| Cluster-Level Contrastive | learning | for Emotion Recognition in Conversations |
| Cluster-wise | learning | network for multi-person pose estimation |
| Clustered Task-Aware Meta- | learning | by Learning from Learning Paths |
| Clustered Task-Aware Meta- | learning | by Learning from Learning Paths |
| Clustered Task-Aware Meta- | learning | by Learning from Learning Paths |
| Clustered Vehicular Federated | learning | : Process and Optimization |
| clustering algorithm combine the FCM algorithm with supervised | learning | normal mixture model, A |
| Clustering Analysis for Semi-supervised | learning | Improves Classification Performance of Digital Pathology |
| Clustering based Contrastive | learning | for Improving Face Representations |
| Clustering based Point Cloud Representation | learning | for 3D Analysis |
| Clustering experience replay for the effective exploitation in reinforcement | learning | |
| Clustering of | learning | Images and Generation of Multiple Prototypes for Object Recognition |
| Clustering Positive Definite Matrices by | learning | Information Divergences |
| Clustering-aware structure-constrained low-rank representation model for | learning | human action attributes |
| Clustering-based Domain-Incremental | learning | |
| Clustering-Based Representation | learning | through Output Translation and Its Application to Remote-Sensing Images |
| Clustering-Guided Contrastive Fusion for Multi-View Representation | learning | , A |
| Clustering- | learning | -Based Long-Term Predictive Localization in 5G-Envisioned Internet of Connected Vehicles |
| CLVOS23: A Long Video Object Segmentation Dataset for Continual | learning | |
| CMD: Self-supervised 3D Action Representation | learning | with Cross-Modal Mutual Distillation |
| CMIR-NET: A deep | learning | based model for cross-modal retrieval in remote sensing |
| CMT-CO: Contrastive | learning | with Character Movement Task for Handwritten Text Recognition |
| CMW-Net: | learning | a Class-Aware Sample Weighting Mapping for Robust Deep Learning |
| CMW-Net: | learning | a Class-Aware Sample Weighting Mapping for Robust Deep Learning |
| CNDesc: Cross Normalization for Local Descriptors | learning | |
| CNLL: A Semi-supervised Approach For Continual Noisy Label | learning | |
| CNN Based Dense Underwater 3D Scene Reconstruction by Transfer | learning | Using Bubble Database |
| CNN Based | learning | Using Reflection and Retinex Models for Intrinsic Image Decomposition |
| CNN transfer | learning | for the automated diagnosis of celiac disease |
| CNN transfer | learning | -based approach for segmentation and classification of brain stroke from noncontrast CT images, A |
| CNN-Based cascaded multi-task | learning | of high-level prior and density estimation for crowd counting |
| CNN-Based Joint Clustering and Representation | learning | with Feature Drift Compensation for Large-Scale Image Data |
| CNN-based repetitive self-revised | learning | for photos' aesthetics imbalanced classification |
| CNN-SVM | learning | Approach Based Human Activity Recognition |
| co-boost framework for | learning | object categories from Google Images with 1st and 2nd order features, A |
| Co-domain Symmetry for Complex-Valued Deep | learning | |
| Co-ECL: Covariant Network with Equivariant Contrastive | learning | for Oriented Object Detection in Remote Sensing Images |
| Co-Labeling for Multi-View Weakly Labeled | learning | |
| Co-LDL: A Co-Training-Based Label Distribution | learning | Method for Tackling Label Noise |
| Co- | learning | Feature Fusion Maps From PET-CT Images of Lung Cancer |
| Co- | learning | Meets Stitch-Up for Noisy Multi-Label Visual Recognition |
| CO-Net: | learning | Multiple Point Cloud Tasks at Once with A Cohesive Network |
| Co-Orbital Sentinel 1 and 2 for LULC Mapping with Emphasis on Wetlands in a Mediterranean Setting Based on Machine | learning | |
| Co-Saliency Detection Guided by Group Weakly Supervised | learning | |
| Co-Saliency Detection via a General Optimization Model and Adaptive Graph | learning | |
| Co-Saliency Detection via a Self-Paced Multiple-Instance | learning | Framework |
| Co-speech Gesture Synthesis by Reinforcement | learning | with Contrastive Pretrained Rewards |
| co-training framework for visual tracking with multiple instance | learning | , A |
| co-training, mutual | learning | approach towards mapping snow cover from multi-temporal high-spatial resolution satellite imagery, A |
| Co2L: Contrastive Continual | learning | |
| Coaching the Exploration and Exploitation in Active | learning | for Interactive Video Retrieval |
| Coal Quality Exploration Technology Based on an Incremental Multilayer Extreme | learning | Machine and Remote Sensing Images |
| COALESCE: Component Assembly by | learning | to Synthesize Connections |
| Coarse to Fine: Progressive and Multi-Task | learning | for Salient Object Detection |
| Coarse-grained reconfigurable hardware accelerator of machine | learning | classifiers |
| Coarse-to-Fine Contrastive Self-Supervised Feature | learning | for Land-Cover Classification in SAR Images With Limited Labeled Data |
| Coarse-to-Fine Deep | learning | Based Land Use Change Detection Method for High-Resolution Remote Sensing Images, A |
| coarse-to-fine deep | learning | for person re-identification, A |
| Coarse-to-Fine Deep | learning | of Continuous Pedestrian Orientation Based on Spatial Co-Occurrence Feature |
| Coarse-to-Fine Deep Metric | learning | for Remote Sensing Image Retrieval |
| Coarse-to-Fine Image DeHashing Using Deep Pyramidal Residual | learning | |
| Coarse-To-Fine Incremental Few-Shot | learning | |
| Coarse-to-Fine Matching of Shapes Using Disconnected Skeletons by | learning | Class-Specific Boundary Deformations |
| Coarse-to-fine multiclass | learning | and classification for time-critical domains |
| Coarse-to-Fine Q-attention: Efficient | learning | for Visual Robotic Manipulation via Discretisation |
| coarse-to-fine weakly supervised | learning | method for green plastic cover segmentation using high-resolution remote sensing images, A |
| Coarse-to-Fine: | learning | Compact Discriminative Representation for Single-Stage Image Retrieval |
| Coastal Bathymetry Estimation from Sentinel-2 Satellite Imagery: Comparing Deep | learning | and Physics-Based Approaches |
| Coastal Wetland Mapping Using Ensemble | learning | Algorithms: A Comparative Study of Bagging, Boosting and Stacking Techniques |
| COATL: A | learning | architecture for online real-time detection and classification assistance for environmental data |
| Cobb-Douglas | learning | Machine, The |
| CoCon: Cooperative-Contrastive | learning | |
| CoCosNet v2: Full-Resolution Correspondence | learning | for Image Translation |
| CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual | learning | |
| Codebook | learning | for Image Recognition Based on Parallel Key SIFT Analysis |
| Coded Hyperspectral Image Reconstruction Using Deep External and Internal | learning | |
| CODER: Coupled Diversity-Sensitive Momentum Contrastive | learning | for Image-Text Retrieval |
| CodeSLAM: | learning | a Compact, Optimisable Representation for Dense Visual SLAM |
| CoDo: Contrastive | learning | with Downstream Background Invariance for Detection |
| CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style | learning | Auxiliary Task |
| Coevolutionary | learning | of neural network ensemble for complex classification tasks |
| Cogni-Net: Cognitive Feature | learning | Through Deep Visual Perception |
| cognitive architecture for Robotic hand posture | learning | , A |
| Cognitive Electronic Jamming Decision-Making Method Based on Q- | learning | and Ant Colony Fusion Algorithm, A |
| Cognitively-Inspired Model for Incremental | learning | Using a Few Examples |
| Coherence and Identity | learning | for Arbitrary-length Face Video Generation |
| Coherence-regularized discriminative dictionary | learning | for histopathological image classification |
| Coherent Framework for | learning | Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal Manifold-Valued Data, A |
| Coherent image annotation by | learning | semantic distance |
| Coherent SVR | learning | for Wideband Direction-of-Arrival Estimation |
| Cohesive Multi-Modality Feature | learning | and Fusion for COVID-19 Patient Severity Prediction |
| CoKe: Contrastive | learning | for Robust Keypoint Detection |
| CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive | learning | |
| CoLEAP: Cooperative | learning | -Based Edge Scheme With Caching and Prefetching for DASH Video Delivery |
| COLF-GAN: | learning | to axial super-resolve focal stacks |
| COLI-Net: Deep | learning | -assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images |
| CoLive: Edge-Assisted Clustered | learning | Framework for Viewport Prediction in 360° Live Streaming |
| Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-Talent Student | learning | |
| Collaborative Active and Semisupervised | learning | for Hyperspectral Remote Sensing Image Classification |
| Collaborative Active | learning | of a Kernel Machine Ensemble for Recognition |
| Collaborative and Adversarial | learning | of Focused and Dispersive Representations for Semi-supervised Polyp Segmentation |
| Collaborative and geometric multi-kernel | learning | for multi-class classification |
| Collaborative contrastive | learning | for hypergraph node classification |
| Collaborative Deep Reinforcement | learning | for Joint Object Search |
| Collaborative Deep Reinforcement | learning | for Multi-object Tracking |
| Collaborative Dictionary | learning | and Soft Assignment for Sparse Coding of Image Features |
| Collaborative discriminative multi-metric | learning | for facial expression recognition in video |
| Collaborative facial color feature | learning | of multiple color spaces for face recognition |
| Collaborative Feature | learning | for Gait Recognition Under Cloth Changes |
| Collaborative feature | learning | from social media |
| Collaborative Graph Embedding: A Simple Way to Generally Enhance Subspace | learning | Algorithms |
| Collaborative Image Relevance | learning | for Visual Re-Ranking |
| Collaborative Intrusion Detection for VANETs: A Deep | learning | -Based Distributed SDN Approach |
| Collaborative Layer-Wise Discriminative | learning | in Deep Neural Networks |
| Collaborative | learning | by boosting in distributed environments |
| Collaborative | learning | for Hand and Object Reconstruction with Attention-guided Graph Convolution |
| Collaborative | learning | in bounding box regression for object detection |
| Collaborative | learning | Network for Face Attribute Prediction |
| Collaborative | learning | network for head pose estimation |
| Collaborative | learning | of Gesture Recognition and 3d Hand Pose Estimation with Multi-order Feature Analysis |
| Collaborative | learning | of Label Semantics and Deep Label-Specific Features for Multi-Label Classification |
| Collaborative | learning | of Lightweight Convolutional Neural Network and Deep Clustering for Hyperspectral Image Semi-Supervised Classification with Limited Training Samples |
| Collaborative | learning | Of Semi-Supervised Clustering And Classification For Labeling Uncurated Data |
| Collaborative | learning | of Semi-Supervised Segmentation and Classification for Medical Images |
| Collaborative | learning | With a Multi-Branch Framework for Feature Enhancement |
| Collaborative | learning | with Disentangled Features for Zero-shot Domain Adaptation |
| Collaborative | learning | with Unreliability Adaptation for Semi-Supervised Image Classification |
| Collaborative Method for Incremental | learning | on Classification and Generation |
| Collaborative Multi-Teacher Knowledge Distillation for | learning | Low Bit-width Deep Neural Networks |
| Collaborative Multifeature Fusion for Transductive Spectral | learning | |
| Collaborative multimodal feature | learning | for RGB-D action recognition |
| Collaborative Noisy Label Cleaner: | learning | Scene-aware Trailers for Multi-modal Highlight Detection in Movies |
| Collaborative Q- | learning | Based Routing Control in Unstructured P2P Networks |
| Collaborative representation based face classification exploiting block weighted LBP and analysis dictionary | learning | |
| Collaborative similarity metric | learning | for face recognition in the wild |
| Collaborative Spatiotemporal Feature | learning | for Video Action Recognition |
| Collaborative Tracking | learning | for Frame-Rate-Insensitive Multi-Object Tracking |
| Collaborative Unsupervised Multi-View Representation | learning | |
| Collaborative Unsupervised Visual Representation | learning | from Decentralized Data |
| Collaborative Visual Tracking Architecture for Correlation Filter and Convolutional Neural Network | learning | , A |
| Collapsed Building Detection Using 3D Point Clouds and Deep | learning | |
| Collect and Select: Semantic Alignment Metric | learning | for Few-Shot Learning |
| Collect and Select: Semantic Alignment Metric | learning | for Few-Shot Learning |
| Collecting Retail Data Using a Deep | learning | Identification Experience |
| Collection of Visual Data in Climbing Experiments for Addressing the Role of Multi-modal Exploration in Motor | learning | Efficiency |
| Collective Affinity | learning | for Partial Cross-Modal Hashing |
| Collision Anticipation via Deep Reinforcement | learning | for Visual Navigation |
| Color Calibration of Proximal Sensing RGB Images of Oilseed Rape Canopy via Deep | learning | Combined with K-Means Algorithm |
| Color Channel Mixing in | learning | from Appearance |
| Color Channel-Based Smoke Removal Algorithm Using Machine | learning | for Static Images |
| Color Constancy by Deep | learning | |
| Color de-rendering using coupled dictionary | learning | |
| Color Enhancement Using Global Parameters and Local Features | learning | |
| Color Image Classification Using Block Matching and | learning | |
| Color Image Classification Using Locally Linear Manifolds and | learning | |
| Color image compression using PCA and backpropagation | learning | |
| Color image demosaicking via deep residual | learning | |
| Color Image Segmentation Using Competitive | learning | |
| Color | learning | for Image Compression |
| Color names | learning | using convolutional neural networks |
| color out of space: | learning | self-supervised representations for Earth Observation imagery, The |
| Color perception of diffusion tensor images using hierarchical manifold | learning | |
| Color Recognition by | learning | : ATR in Color Images |
| Color Tracking by Transductive | learning | |
| Color VQ-Based Image Compression by Manifold | learning | |
| COLOR: Cycling, Offline | learning | , and Online Representation Framework for Airport and Airplane Detection Using GF-2 Satellite Images |
| Colour Matching Function | learning | |
| CoMatch: Semi-supervised | learning | with Contrastive Graph Regularization |
| COMBAHO: A deep | learning | system for integrating brain injury patients in society |
| Combating Coronary Calcium Scoring Bias for Non-gated CT by Semantic | learning | on Gated CT |
| Combating the Impact of Video Compression on Non-Contact Vital Sign Measurement Using Supervised | learning | |
| Combination of domain knowledge and deep | learning | for sentiment analysis of short and informal messages on social media |
| combination of feature extraction methods and deep | learning | for brain tumour classification, A |
| Combination Of Handcrafted And Deep | learning | -Based Features For 3d Mesh Quality Assessment |
| Combination of Hyperspectral and Machine | learning | to Invert Soil Electrical Conductivity |
| Combination of Hyperspectral and Quad-Polarization SAR Images to Classify Marsh Vegetation Using Stacking Ensemble | learning | Algorithm |
| Combination of Lie Group Machine | learning | and Deep Learning for Remote Sensing Scene Classification Using Multi-Layer Heterogeneous Feature Extraction and Fusion, A |
| Combination of Lie Group Machine | learning | and Deep Learning for Remote Sensing Scene Classification Using Multi-Layer Heterogeneous Feature Extraction and Fusion, A |
| Combination of Machine | learning | Algorithms for Marine Plastic Litter Detection Exploiting Hyperspectral PRISMA Data, A |
| Combination of multi-scale and residual | learning | in deep CNN for image denoising |
| Combination of Satellite Observations and Machine | learning | Method for Internal Wave Forecast in the Sulu and Celebes Seas |
| Combination of supervised and unsupervised | learning | for training the activation functions of neural networks |
| Combination of Two | learning | Algorithms for Automatic Target Recognition |
| Combinations of Feature Selection and Machine | learning | Algorithms for Object-Oriented Betel Palms and Mango Plantations Classification Based on Gaofen-2 Imagery |
| Combinatorial | learning | of Graph Edit Distance via Dynamic Embedding |
| Combinatorial | learning | of Robust Deep Graph Matching: An Embedding Based Approach |
| Combine unlabeled with labeled MR images to measure acute ischemic stroke lesion by stepwise | learning | |
| Combined Deep | learning | and Prior Knowledge Constraint Approach for Large-Scale Forest Disturbance Detection Using Time Series Remote Sensing Data, A |
| Combined Detection and Segmentation of Cell Nuclei in Microscopy Images Using Deep | learning | |
| Combined Hierarchical | learning | Framework for Personalized Automatic Lane-Changing |
| Combined | learning | of Salient Local Descriptors and Distance Metrics for Image Set Face Verification |
| Combined Machine | learning | and Residual Analysis Approach for Improved Retrieval of Shallow Bathymetry from Hyperspectral Imagery and Sparse Ground Truth Data, A |
| Combined Manifold | learning | Analysis of Shape and Appearance to Characterize Neonatal Brain Development, A |
| Combined Model- and | learning | -Based Framework for Interaction-Aware Maneuver Prediction, A |
| Combined Prognostic Model Based on Machine | learning | for Tidal Current Prediction, A |
| Combined Retrievals of Turbidity from Sentinel-2A/B and Landsat-8/9 in the Taihu Lake through Machine | learning | |
| Combined Rule-Based Machine | learning | Audio-Visual Emotion Recognition Approach, A |
| Combined Spiral Transformation and Model-Driven Multi-Modal Deep | learning | Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer |
| Combined Top-Down/Bottom-Up Human Articulated Pose Estimation Using AdaBoost | learning | |
| Combing Top-Down and Bottom-Up Discriminative Dictionaries | learning | for Non-specific Object Detection, A |
| Combining 3D Convolutional Neural Networks with Transfer | learning | by Supervised Pre-Training for Facial Micro-Expression Recognition |
| Combining Decision Making and Trajectory Planning for Lane Changing Using Deep Reinforcement | learning | |
| Combining deep generative and discriminative models for Bayesian semi-supervised | learning | |
| Combining deep | learning | and hand-crafted features for skin lesion classification |
| Combining Deep | learning | and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands |
| Combining Deep | learning | and Multi-class Discriminant Analysis for Granite Tiles Classification |
| Combining Deep | learning | and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences |
| Combining Deep | learning | with Single-Spectrum UV Imaging for Rapid Detection of HNSs Spills |
| Combining Deformation Modeling and Machine | learning | for Personalized Prosthesis Size Prediction in Valve-Sparing Aortic Root Reconstruction |
| Combining Digital Archives Content with Serious Game Approach to Create a Gamified | learning | Experience |
| Combining Disease Mechanism and Machine | learning | to Predict Wheat Fusarium Head Blight |
| Combining Evolutionary Algorithms and Machine | learning | Models in Landslide Susceptibility Assessments |
| Combining Exemplar-Based Approach and | learning | -Based Approach for Light Field Super-Resolution Using a Hybrid Imaging System |
| Combining feature extraction and expansion to improve classification based similarity | learning | |
| Combining Fisher Criterion and Deep | learning | for Patterned Fabric Defect Inspection |
| Combining Gabor filtering and classification dictionaries | learning | for fingerprint enhancement |
| Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional | learning | |
| Combining Generative and Discriminative Representation | learning | for Lung CT Analysis With Convolutional Restricted Boltzmann Machines |
| Combining Implicit Function | learning | and Parametric Models for 3d Human Reconstruction |
| Combining Individual Travel Preferences Into Destination Prediction: A Multi-Module Deep | learning | Network |
| Combining Knowledge Distillation and Transfer | learning | for Sensor Fusion in Visible and Thermal Camera-based Person Classification |
| Combining knowledge with data for efficient and generalizable visual | learning | |
| Combining | learning | -based intensity distributions with nonparametric shape priors for image segmentation |
| Combining Machine | learning | and Compact Polarimetry for Estimating Soil Moisture from C-Band SAR Data |
| Combining Machine | learning | and Dynamic Time Wrapping for Vehicle Driving Event Detection Using Smartphones |
| Combining Multi-Source Data and Machine | learning | Approaches to Predict Winter Wheat Yield in the Conterminous United States |
| Combining Multiple Dynamic Models and Deep | learning | Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data |
| Combining multiple expert annotations using semi-supervised | learning | and graph cuts for medical image segmentation |
| Combining Multispectral and Radar Imagery with Machine | learning | Techniques to Map Intertidal Habitats for Migratory Shorebirds |
| Combining Object-Based Machine | learning | with Long-Term Time-Series Analysis for Informal Settlement Identification |
| Combining Object-Oriented and Deep | learning | Methods to Estimate Photosynthetic and Non-Photosynthetic Vegetation Cover in the Desert from Unmanned Aerial Vehicle Images with Consideration of Shadows |
| Combining online and offline | learning | for tracking a talking face in video |
| Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine | learning | Approaches |
| Combining Physics and Deep | learning | Models to Simulate the Flight of a Golf Ball |
| Combining Progressive Rethinking and Collaborative | learning | : A Deep Framework for In-Loop Filtering |
| Combining Reinforcement | learning | and Belief Revision: A Learning System for Active Vision |
| Combining Reinforcement | learning | and Belief Revision: A Learning System for Active Vision |
| Combining rough sets and data-driven fuzzy | learning | for generation of classification rules |
| Combining Rule-based and Machine | learning | Approaches for Shape Recognition |
| Combining Sample Plot Stratification and Machine | learning | Algorithms to Improve Forest Aboveground Carbon Density Estimation in Northeast China Using Airborne LiDAR Data |
| Combining Satellite Imagery and a Deep | learning | Algorithm to Retrieve the Water Levels of Small Reservoirs |
| Combining Satellite Optical and Radar Image Data for Streamflow Estimation Using a Machine | learning | Method |
| Combining Self Training and Active | learning | for Video Segmentation |
| Combining self- | learning | based super-resolution with denoising for noisy images |
| Combining Self-Supervised and Supervised | learning | with Noisy Labels |
| Combining Semantic Guidance and Deep Reinforcement | learning | For Generating Human Level Paintings |
| Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep | learning | architecture |
| Combining Similarity and Adversarial | learning | to Generate Visual Explanation: Application to Medical Image Classification |
| Combining spatial and temporal priors for articulated human tracking with online | learning | |
| Combining Unmixing and Deep Feature | learning | for Hyperspectral Image Classification |
| Combining Visual Dictionary, Kernel-Based Similarity and | learning | Strategy for Image Category Retrieval |
| Combining weather condition data to predict traffic flow: A GRU-based deep | learning | approach |
| Combining Weather Factors to Predict Traffic Flow: A Spatial-Temporal Fusion Graph Convolutional Network-Based Deep | learning | Approach |
| Combining where and what in change detection for unsupervised foreground | learning | in surveillance |
| CoMFormer: Continual | learning | in Semantic and Panoptic Segmentation |
| Comic MTL: optimized multi-task | learning | for comic book image analysis |
| commentary on ' | learning | error-correcting graph matching with a multiclass neural network', Pattern Recognition Letters, 2018, A |
| Commentary Paper on | learning | and Classification of Trajectories in Dynamic Scenes: A General Framework for Live Video Analysis |
| Comments on Iterative Re-Constrained Group Sparse Face Recognition With Adaptive Weights | learning | |
| Comments on Traffic Sign Recognition Using Kernel Extreme | learning | Machines With Deep Perceptual Features |
| Common Objects in 3D: Large-Scale | learning | and Evaluation of Real-life 3D Category Reconstruction |
| Common Random Subgraph Modeling Using Multiple Instance | learning | |
| Common Subspace for Model and Similarity: Phrase | learning | for Caption Generation from Images |
| Common-specific feature | learning | for multi-source domain adaptation |
| Communication Efficient Distributed | learning | Over Wireless Channels |
| Communication system and team situation awareness in a multiplayer real-time | learning | environment: application to a virtual operating room |
| Communication-Aware Motion Planning of AUV in Obstacle-Dense Environment: A Binocular Vision-Based Deep | learning | Method |
| Communication-efficient and Byzantine-robust distributed | learning | with statistical guarantee |
| Communication-efficient Federated | learning | with Single-Step Synthetic Features Compressor for Faster Convergence |
| Communication-Efficient Randomized Algorithm for Multi-Kernel Online Federated | learning | |
| Communication-Efficient Vertical Federated | learning | with Limited Overlapping Samples |
| Compact and Efficient Feature Representation and | learning | in Computer Vision |
| Compact and Efficient Multitask | learning | in Vision, Language and Speech |
| Compact and Optimal Deep | learning | with Recurrent Parameter Generators |
| Compact class-conditional domain invariant | learning | for multi-class domain adaptation |
| Compact CNN Structure | learning | by Knowledge Distillation |
| Compact Deep | learning | Model for Robust Facial Expression Recognition, A |
| Compact discriminative object representation via weakly supervised | learning | for real-time visual tracking |
| Compact Feature | learning | for Multi-Domain Image Classification |
| Compact Graph based Semi-Supervised | learning | for Medical Diagnosis in Alzheimer's Disease |
| Compact Hash Code | learning | With Binary Deep Neural Network |
| Compact | learning | for multi-label classification |
| Compact Representation and Reliable Classification | learning | for Point-Level Weakly-Supervised Action Localization |
| Compaction Prediction for Asphalt Mixtures Using Wireless Sensor and Machine | learning | Algorithms |
| Comparative analysis of Alzheimer's disease classification by CDR level using CNN, feature selection, and machine- | learning | techniques |
| Comparative Analysis of Certainty Factor-Based Machine | learning | Methods for Collapse and Landslide Susceptibility Mapping in Wenchuan County, China, A |
| Comparative analysis of image classification algorithms based on traditional machine | learning | and deep learning |
| Comparative analysis of image classification algorithms based on traditional machine | learning | and deep learning |
| Comparative Analysis of Kernel Methods for Statistical Shape | learning | |
| Comparative Analysis of Machine | learning | Algorithms for Soil Erosion Modelling Based on Remotely Sensed Data |
| Comparative Analysis of Remote Sensing Storage Tank Detection Methods Based on Deep | learning | |
| Comparative Analysis of Two Machine | learning | Algorithms in Predicting Site-Level Net Ecosystem Exchange in Major Biomes |
| Comparative Approach of Fuzzy Object Based Image Analysis and Machine | learning | Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery, A |
| Comparative Assessment of Ensemble-Based Machine | learning | and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga Harbor, New Zealand, A |
| Comparative Assessment of Five Machine | learning | Algorithms for Supervised Object-Based Classification of Submerged Seagrass Beds Using High-Resolution UAS Imagery |
| Comparative Assessment of Geostatistical, Machine | learning | , and Hybrid Approaches for Mapping Topsoil Organic Carbon Content, A |
| Comparative Assessment of Machine | learning | Methods for Urban Vegetation Mapping Using Multitemporal Sentinel-1 Imagery |
| Comparative Assessment of Machine- | learning | Techniques for Forest Degradation Caused by Selective Logging in an Amazon Region Using Multitemporal X-Band SAR Images, A |
| Comparative Assessment of Machine- | learning | Techniques for Land Use and Land Cover Classification of the Brazilian Tropical Savanna Using ALOS-2/PALSAR-2 Polarimetric Images, A |
| Comparative Deep | learning | of Hybrid Representations for Image Recommendations |
| Comparative Estimation of Maize Leaf Water Content Using Machine | learning | Techniques and Unmanned Aerial Vehicle (UAV)-Based Proximal and Remotely Sensed Data, A |
| Comparative Research on Deep | learning | Approaches for Airplane Detection from Very High-Resolution Satellite Images |
| Comparative Review of Manifold | learning | Techniques for Hyperspectral and Polarimetric SAR Image Fusion, A |
| comparative study of breast cancer tumor classification by classical machine | learning | methods and deep learning method, A |
| comparative study of breast cancer tumor classification by classical machine | learning | methods and deep learning method, A |
| Comparative Study of Convolutional Neural Network and Conventional Machine | learning | Methods for Landslide Susceptibility Mapping |
| Comparative Study of Convolutional Neural Networks and Conventional Machine | learning | Models for Lithological Mapping Using Remote Sensing Data, A |
| Comparative Study of Different CNN Models and Transfer | learning | Effect for Underwater Object Classification in Side-Scan Sonar Images, A |
| Comparative Study of Landslide Susceptibility Mapping Using Bagging PU | learning | in Class-Prior Probability Shift Datasets, A |
| comparative study of shallow | learning | and deep transfer learning techniques for accurate fingerprints vitality detection, A |
| comparative study of shallow | learning | and deep transfer learning techniques for accurate fingerprints vitality detection, A |
| Comparative Study of Various Deep | learning | Approaches to Shape Encoding of Planar Geospatial Objects, A |
| Comparative Study of Vision Transformer Encoders and Few-shot | learning | for Medical Image Classification, A |
| Comparative study on mirror image | learning | (MIL) and GLVQ |
| comparative study on mirror image | learning | and ALSM, A |
| Comparative Validation of Graphical Models for | learning | Tumor Segmentations from Noisy Manual Annotations |
| Compare and Contrast: | learning | Prominent Visual Differences |
| Comparing Deep | learning | and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada |
| Comparing Deep | learning | and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada |
| Comparing deep | learning | models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical evaluation, and challenges |
| Comparing Facial Expressions for Face Swapping Evaluation with Supervised Contrastive Representation | learning | |
| Comparing Machine and Deep | learning | Methods for Large 3D Heritage Semantic Segmentation |
| Comparing Machine and Deep | learning | Methods for the Phenology-Based Classification of Land Cover Types in the Amazon Biome Using Sentinel-1 Time Series |
| Comparing Machine | learning | Algorithms for Pixel/Object-Based Classifications of Semi-Arid Grassland in Northern China Using Multisource Medium Resolution Imageries |
| Comparing Machine | learning | Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery |
| Comparing Machine | learning | Models and Hybrid Geostatistical Methods Using Environmental and Soil Covariates for Soil pH Prediction |
| Comparing optimal bounding ellipsoid and support vector machine active | learning | |
| Comparing Thresholding with Machine | learning | Classifiers for Mapping Complex Water |
| Comparing two classes of end-to-end machine- | learning | models in lung nodule detection and classification: MTANNs vs. CNNs |
| Comparing Visual Feature Coding for | learning | Disjoint Camera Dependencies |
| Comparison and combination of adaptive query shifting and feature relevance | learning | for content-based image retrieval |
| Comparison Between Genetic Algorithms and the Baum-Welch Algorithm in | learning | HMMs for Human Activity Classification |
| Comparison between Supervised and Unsupervised | learning | for Autonomous Delamination Detection Using Impact Echo |
| Comparison between supervised and unsupervised | learning | of probabilistic linear discriminant analysis mixture models for speaker verification |
| Comparison Between Traditional Texture Methods and Deep | learning | Descriptors for Detection of Nitrogen Deficiency in Maize Crops |
| Comparison of Algorithms for Inference and | learning | in Probabilistic Graphical Models, A |
| Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer | learning | From Deep Convolutional Neural Networks, and Fusion Methods |
| Comparison of Climate Reanalysis and Remote-Sensing Data for Predicting Olive Phenology through Machine- | learning | Methods |
| Comparison of Cloud-Mask Algorithms and Machine- | learning | Methods Using Sentinel-2 Imagery for Mapping Paddy Rice in Jianghan Plain |
| Comparison of deep | learning | and hand crafted features for mining simulation data |
| Comparison of Deep | learning | Methods for Detecting and Counting Sorghum Heads in UAV Imagery |
| Comparison of Deep | learning | Methods for Inebriation Recognition in Humans, A |
| Comparison of Deep | learning | Methods for Semantic Segmentation of Coral Reef Survey Images, A |
| Comparison of Deep | learning | Models for the Classification of Noctilucent Cloud Images |
| Comparison of Deep | learning | Techniques for Video-based Automatic Recognition of Greek Folk Dances |
| Comparison of Deep | learning | -Based Recognition Techniques for Medical and Biomedical Images |
| Comparison of Deep Neural Networks in Detecting Field Grapevine Diseases Using Transfer | learning | |
| Comparison of Deep Transfer | learning | Strategies for Digital Pathology |
| Comparison of Different Machine | learning | Approaches for Monthly Satellite-Based Soil Moisture Downscaling over Northeast China |
| Comparison of Different Machine | learning | Methods for Debris Flow Susceptibility Mapping: A Case Study in the Sichuan Province, China |
| Comparison of Different Machine | learning | Methods to Reconstruct Daily Evapotranspiration Time Series Estimated by Thermal-Infrared Remote Sensing, A |
| Comparison of Different Supervised and Self-supervised | learning | Techniques in Skin Disease Classification |
| Comparison of Different Transfer | learning | Methods for Classification of Mangrove Communities Using MCCUNet and UAV Multispectral Images |
| Comparison of Ensemble Machine | learning | Methods for Soil Erosion Pin Measurements |
| Comparison of Estimating Crop Residue Cover from Sentinel-2 Data Using Empirical Regressions and Machine | learning | Methods, A |
| Comparison of Four Machine | learning | Methods for Generating the GLASS Fractional Vegetation Cover Product from MODIS Data |
| Comparison of Fusion Methods for HSRRSI Considering the Effectiveness of Land Cover (Features) Object Recognition Based on Deep | learning | , The |
| Comparison of Hybrid Machine | learning | Algorithms for the Retrieval of Wheat Biophysical Variables from Sentinel-2, A |
| Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine | learning | Techniques |
| Comparison of Machine | learning | Algorithms for Flood Susceptibility Mapping |
| Comparison of Machine | learning | Algorithms for Mapping of Complex Surface-Mined and Agricultural Landscapes Using ZiYuan-3 Stereo Satellite Imagery, A |
| Comparison of Machine | learning | Algorithms for Retrieval of Water Quality Indicators in Case-II Waters: A Case Study of Hong Kong |
| Comparison of Machine | learning | and Empirical Approaches for Deriving Bathymetry from Multispectral Imagery, A |
| Comparison of Machine | learning | and Geostatistical Approaches for Mapping Forest Canopy Height over the Southeastern US Using ICESat-2, A |
| Comparison of Machine | learning | Approaches for Reconstructing Sea Subsurface Salinity Using Synthetic Data |
| Comparison of Machine | learning | Approaches to Improve Free Topography Data for Flood Modelling, A |
| Comparison of Machine | learning | Methods Applied to SAR Images for Forest Classification in Mediterranean Areas |
| Comparison of Machine | learning | Methods for Estimating Mangrove Above-Ground Biomass Using Multiple Source Remote Sensing Data in the Red River Delta Biosphere Reserve, Vietnam |
| Comparison of Machine | learning | Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data |
| Comparison of Machine | learning | Methods for Potential Active Landslide Hazards Identification with Multi-Source Data |
| Comparison of Machine | learning | Methods for Predicting Soil Total Nitrogen Content Using Landsat-8, Sentinel-1, and Sentinel-2 Images |
| Comparison of Machine | learning | Methods to Up-Scale Gross Primary Production |
| Comparison of Machine | learning | Models for Mapping Tree Species Using WorldView-2 Imagery in the Agroforestry Landscape of West Africa, A |
| Comparison of Machine | learning | Models in Simulating Glacier Mass Balance: Insights from Maritime and Continental Glaciers in High Mountain Asia |
| Comparison of Machine | learning | Techniques in Inferring Phytoplankton Size Classes |
| Comparison of machine | learning | -based feature pooling strategies for colour image fidelity assessment |
| Comparison of Machine | learning | -Based Snow Depth Estimates and Development of a New Operational Retrieval Algorithm over China |
| Comparison of Machine- | learning | and CASA Models for Predicting Apple Fruit Yields from Time-Series Planet Imageries |
| Comparison of Machine- | learning | Methods for Urban Land-Use Mapping in Hangzhou City, China |
| Comparison of Machine- | learning | Regression Algorithms for The Estimation of LAI Using Landsat-8 Satellite Data, A |
| Comparison of Multi-images Deep | learning | Super Resolution for Passive Microwave Images of Arctic Sea Ice |
| Comparison of Multiple Instance and Group Based | learning | , A |
| Comparison of Novel Hybrid and Benchmark Machine | learning | Algorithms to Predict Groundwater Potentiality: Case of a Drought-Prone Region of Medjerda Basin, Northern Tunisia |
| Comparison of Object Based Machine | learning | Classifications Of Planetscope and Worldview-3 Satellite Images for Land Use / Cover |
| Comparison of Object Detection and Patch-Based Classification Deep | learning | Models on Mid- to Late-Season Weed Detection in UAV Imagery |
| Comparison of Saliency Methods for Deep | learning | Explainability, A |
| Comparison of Semi-supervised | learning | Methods for High Content Screening Quality Control |
| Comparison of SIFT Encoded and Deep | learning | Features for the Classification and Detection of Esca Disease in Bordeaux Vineyards |
| Comparison of Supervised | learning | and Changepoint Detection for Insect Detection in Lidar Data |
| Comparison of the deep- | learning | -based automated segmentation methods for the head sectioned images of the virtual Korean human project |
| Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine | learning | Algorithms |
| Comparison of Traditional and Machine | learning | Base Methods for Ground Point Cloud Labeling |
| Comparison of Two Machine | learning | Classification Methods for Remote Sensing Predictive Modeling of the Forest Fire in the North-Eastern Siberia, A |
| Comparison Study of Landslide Susceptibility Spatial Modeling Using Machine | learning | , A |
| Comparisons of Convolutional Neural Network and Other Machine | learning | Methods in Landslide Susceptibility Assessment: A Case Study in Pingwu |
| CompConv: A Compact Convolution Module for Efficient Feature | learning | |
| Compensated Row-Column Ultrasound Imaging Systems with Data-Driven Point Spread Function | learning | |
| Compensating Delays and Noises in Motion Control of Autonomous Electric Vehicles by Using Deep | learning | and Unscented Kalman Predictor |
| Compensating for the Lack of Extra Training Data by | learning | Extra Representation |
| Compensation | learning | in Semantic Segmentation |
| Competence-aware Curriculum for Visual Concepts | learning | via Question Answering, A |
| Competitive Collaboration: Joint Unsupervised | learning | of Depth, Camera Motion, Optical Flow and Motion Segmentation |
| Competitive | learning | Algorithm for Color-based Image Retrieval, A |
| Competitive | learning | of Facial Fitting and Synthesis Using UV Energy |
| Competitive | learning | / reflected residual vector quantization for coding angiogram images |
| Complementarity-Aware Space | learning | for Video-Text Retrieval |
| Complementary Attention-Driven Contrastive | learning | With Hard-Sample Exploring for Unsupervised Domain Adaptive Person Re-ID |
| Complementary Calibration: Boosting General Continual | learning | With Collaborative Distillation and Self-Supervision |
| Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift | learning | |
| Complementary Modularized Ramp Metering Approach Based on Iterative | learning | Control and ALINEA, A |
| Complementary Parts Contrastive | learning | for Fine-Grained Weakly Supervised Object Co-Localization |
| Complementing Representation Deficiency in Few-shot Image Classification: A Meta- | learning | Approach |
| Complete Canonical Correlation Analysis for Multiview | learning | , A |
| Complete Discriminative Tensor Representation | learning | for Two-Dimensional Correlation Analysis, A |
| Complete lattice | learning | for multivariate mathematical morphology |
| Complete Moving Object Detection in the Context of Robust Subspace | learning | |
| Complete Reinforcement- | learning | -Based Framework for Urban-Safety Perception, A |
| Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation | learning | |
| Complex Cell Descriptor | learning | for Robust Object Recognition |
| Complex Feature Recognition: A Bayesian Approach for | learning | to Recognize Objects |
| Complex heterogeneity | learning | : A theoretical and empirical study |
| Complex Network-Based Broad | learning | System for Detecting Driver Fatigue From EEG Signals, A |
| Complex threat detection: | learning | vs. rules, using a hierarchy of features |
| Complex Video Scene Analysis Using Kernelized-Collaborative Behavior Pattern | learning | Based on Hierarchical Representative Object Behaviors |
| Complexity of Representations in Deep | learning | |
| Complexity Scalable | learning | -Based Image Decoding |
| Component-based metric | learning | for fully automatic kinship verification |
| Component-wise parameter smoothing for | learning | mixture models |
| CompoNet: | learning | to Generate the Unseen by Part Synthesis and Composition |
| Composable Augmentation Encoding for Video Representation | learning | |
| Composite | learning | for Robust and Effective Dense Predictions |
| Composite of Features for | learning | -Based Coronary Artery Segmentation on Cardiac CT Angiography, A |
| compositional approach to | learning | part-based models of objects, A |
| Compositional Embeddings for Multi-Label One-Shot | learning | |
| Compositional GAN: | learning | Image-Conditional Binary Composition |
| Compositional | learning | for Human Object Interaction |
| Compositional | learning | of Image-Text Query for Image Retrieval |
| Compositional models and Structured | learning | for visual recognition |
| Compositional Models for Video Event Detection: A Multiple Kernel | learning | Latent Variable Approach |
| Compositional Scene Representation | learning | via Reconstruction: A Survey |
| Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence | learning | |
| Compositional Zero-Shot | learning | using Multi-Branch Graph Convolution and Cross-layer Knowledge Sharing |
| Compound Expression Recognition In-the-wild with AU-assisted Meta Multi-task | learning | |
| Compound Projection | learning | for Bridging Seen and Unseen Objects |
| Comprehensive Analysis of Deep | learning | Based Representation for Face Recognition, A |
| Comprehensive Analysis of Deep | learning | -Based Vehicle Detection in Aerial Images |
| Comprehensive Attribute Prediction | learning | for Person Search by Language |
| Comprehensive Comparison of Machine | learning | and Feature Selection Methods for Maize Biomass Estimation Using Sentinel-1 SAR, Sentinel-2 Vegetation Indices, and Biophysical Variables, A |
| Comprehensive Empirical Evaluation on Online Continual | learning | , A |
| Comprehensive Evaluation of Machine | learning | and Classical Approaches for Spaceborne Active-Passive Fusion Bathymetry of Coral Reefs, A |
| Comprehensive Machine | learning | Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements, A |
| Comprehensive Ocean Information-Enabled AUV Motion Planning Based on Reinforcement | learning | |
| Comprehensive Parameter Sweep for | learning | -Based Detector on Traffic Lights |
| Comprehensive quality assessment of optical satellite imagery using weakly supervised video | learning | |
| Comprehensive Report on Machine | learning | -Based Early Detection of Alzheimer's Disease Using Multi-Modal Neuroimaging Data, A |
| Comprehensive Review of Deep | learning | -Based 3D Point Cloud Completion Processing and Analysis |
| Comprehensive Review of Machine | learning | (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques |
| comprehensive review on deep | learning | -based methods for video anomaly detection, A |
| comprehensive review on multi-organs tumor detection based on machine | learning | , A |
| Comprehensive Solution for Deep- | learning | Based Cargo Inspection to Discriminate Goods in Containers, A |
| Comprehensive Study of Transfer | learning | under Constraints, A |
| Comprehensive Study on Deep | learning | -Based Methods for Sign Language Recognition, A |
| Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep | learning | , A |
| Comprehensive Survey of Deep | learning | for Image Captioning, A |
| Comprehensive Survey of Few-Shot | learning | : Evolution, Applications, Challenges, and Opportunities, A |
| Comprehensive Survey of Image Augmentation Techniques for Deep | learning | , A |
| Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine | learning | Approach: Challenges, Solutions, and Future Directions, A |
| Comprehensive Survey on SAR ATR in Deep- | learning | Era, A |
| Comprehensive Survey on Transfer | learning | , A |
| Compressed Image Restoration via Artifacts-Free PCA Basis | learning | and Adaptive Sparse Modeling |
| Compressed sampling and dictionary | learning | framework for wavelength-division-multiplexing-based distributed fiber sensing |
| compressed sensing approach for efficient ensemble | learning | , A |
| Compressed Sensing Doppler Ultrasound Reconstruction Using Block Sparse Bayesian | learning | |
| Compressed Sensing for Efficient Encoding of Dense 3D Meshes Using Model-Based Bayesian | learning | |
| Compressed sensing MRI with Bayesian dictionary | learning | |
| Compressed sensing reconstruction of 3D ultrasound data using dictionary | learning | |
| Compressed Sensing Reconstruction of 3D Ultrasound Data Using Dictionary | learning | and Line-Wise Subsampling |
| Compressed Sensing-Based Inpainting of Aqua Moderate Resolution Imaging Spectroradiometer Band 6 Using Adaptive Spectrum-Weighted Sparse Bayesian Dictionary | learning | |
| Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme | learning | Machine |
| Compressing CNN-DBLSTM models for OCR with teacher-student | learning | and Tucker decomposition |
| Compression Artifact Removal with Ensemble | learning | of Neural Networks |
| Compressive dictionary | learning | for image recovery |
| Compressive | learning | for Patch-Based Image Denoising |
| Compressive | learning | of Deep Regularization for Denoising |
| Compressive Light Field Reconstructions Using Deep | learning | |
| Compressive Sensing by | learning | a Gaussian Mixture Model From Measurements |
| Compressive Sequential | learning | for Action Similarity Labeling |
| Computation Offloading and Resource Allocation in MEC-Enabled Integrated Aerial-Terrestrial Vehicular Networks: A Reinforcement | learning | Approach |
| Computational Aspects of Deep | learning | |
| Computational Evaluation of the Combination of Semi-Supervised and Active | learning | for Histopathology Image Segmentation with Missing Annotations |
| Computational framework for emotional VAD prediction using regularized Extreme | learning | Machine |
| Computational | learning | for Adaptive Computer Vision |
| Computational | learning | Theory of Active Object Recognition Under Uncertainty, A |
| Computational Machine | learning | Approach for Flood Susceptibility Assessment Integrated with Remote Sensing and GIS Techniques from Jeddah, Saudi Arabia |
| Computational single-cell classification using deep | learning | on bright-field and phase images |
| Computationally Budgeted Continual | learning | : What Does Matter? |
| Computationally Efficient Hyperspectral Data | learning | Based on the Doubly Stochastic Dirichlet Process |
| Computationally Efficient Rehearsal for Online Continual | learning | |
| Computationally-Affordable Unsupervised Machine | learning | Algorithm to Identify the Level of Distress Severity in Pavement Functional Performance |
| Computer vision and deep | learning | meet plankton: Milestones and future directions |
| Computer Vision and Deep | learning | Techniques for the Analysis of Drone-Acquired Forest Images, a Transfer Learning Study |
| Computer Vision and Deep | learning | Techniques for the Analysis of Drone-Acquired Forest Images, a Transfer Learning Study |
| Computer Vision and Deep | learning | -Enabled UAVs: Proposed Use Cases for Visually Impaired People in a Smart City |
| Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine | learning | : A Survey and Ongoing Research |
| Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine | learning | Techniques |
| Computer-aided mammogram diagnosis system using deep | learning | convolutional fully complex-valued relaxation neural network classifier |
| computer-aided melanoma detection using deep | learning | and an improved African vulture optimization algorithm, A |
| Computer-Assisted Audiovisual Language | learning | |
| Computerized Adaptive English Ability Assessment Based on Deep | learning | |
| Computing Offloading With Fairness Guarantee: A Deep Reinforcement | learning | Method |
| Computing on Wheels: A Deep Reinforcement | learning | -Based Approach |
| Concatenation hashing: A relative position preserving method for | learning | binary codes |
| Concept for a Compound Analysis in Active | learning | for Remote Sensing |
| Concept Generalization in Visual Representation | learning | |
| Concept Parser With Multimodal Graph | learning | for Video Captioning |
| Concept-Based Multimodal | learning | for Topic Generation |
| ConceptMap: Mining Noisy Web Data for Concept | learning | |
| Conceptual Design of a Mobile Application for Geography Fieldwork | learning | |
| Conceptual Indexing and Active Retrieval of Video for Interactive | learning | Environments |
| Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label | learning | , A |
| ConCL: Concept Contrastive | learning | for Dense Prediction Pre-training in Pathology Images |
| Concrete Bridge Defects Identification and Localization Based on Classification Deep Convolutional Neural Networks and Transfer | learning | |
| Concurrent Discrimination and Alignment for Self-Supervised Feature | learning | |
| Concurrent | learning | -Based Adaptive Control of an Uncertain Robot Manipulator With Guaranteed Safety and Performance |
| Concurrent Multiple Instance | learning | for Image Categorization |
| Condition Assessment of RC Bridges. Integrating Machine | learning | , Photogrammetry and BIM |
| Condition Invariance for Autonomous Driving by Adversarial | learning | |
| Condition-Adaptive Graph Convolution | learning | for Skeleton-Based Gait Recognition |
| Conditional Channel Gated Networks for Task-Aware Continual | learning | |
| Conditional density | learning | via regression with application to deformable shape segmentation |
| Conditional Distribution | learning | with Neural Networks and its Application to Universal Image Denoising |
| Conditional entropy minimization principle for | learning | domain invariant representation features |
| Conditional Feature | learning | Based Transformer for Text-Based Person Search |
| Conditional Gaussian Distribution | learning | for Open Set Recognition |
| Conditional High-Order Boltzmann Machine: A Supervised | learning | Model for Relation Learning |
| Conditional High-Order Boltzmann Machine: A Supervised | learning | Model for Relation Learning |
| Conditional High-Order Boltzmann Machines for Supervised Relation | learning | |
| Conditional Infomax | learning | : An Integrated Framework for Feature Extraction and Fusion |
| Conditional Multi-Task | learning | for Plant Disease Identification |
| Conditional Multimodal Biometrics Embedding | learning | For Periocular and Face in the Wild |
| Conditional Predictive Behavior Planning With Inverse Reinforcement | learning | for Human-Like Autonomous Driving |
| Conditional Prompt | learning | for Vision-Language Models |
| Conditional Random Field and Deep Feature | learning | for Hyperspectral Image Classification |
| Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep | learning | for Structured Prediction |
| Confidence-Aware Personalized Federated | learning | via Variational Expectation Maximization |
| Confidence-aware Pseudo-label | learning | for Weakly Supervised Visual Grounding |
| Confidence-Aware Reinforcement | learning | for Self-Driving Cars |
| Confidence-Based Active | learning | |
| Confidence-Based Data Association and Discriminative Deep Appearance | learning | for Robust Online Multi-Object Tracking |
| ConflictNET: End-to-End | learning | for Speech-Based Conflict Intensity Estimation |
| Conflicts between Likelihood and Knowledge Distillation in Task Incremental | learning | for 3D Object Detection |
| Confounds in the Data: Comments on Decoding Brain Representations by Multimodal | learning | of Neural Activity and Visual Features |
| Congested scene classification via efficient unsupervised feature | learning | and density estimation |
| Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for | learning | -Based Control |
| Conjunctive Patches Subspace | learning | With Side Information for Collaborative Image Retrieval |
| ConMatch: Semi-supervised | learning | with Confidence-Guided Consistency Regularization |
| Connecting Image Denoising and High-Level Vision Tasks via Deep | learning | |
| Connecting Subspace | learning | and Extreme Learning Machine in Speech Emotion Recognition |
| Connecting Subspace | learning | and Extreme Learning Machine in Speech Emotion Recognition |
| Connecting the Dots: | learning | Representations for Active Monocular Depth Estimation |
| Connecting the dots: Toward accountable machine- | learning | printer attribution methods |
| Consecutive Pre-Training: A Knowledge Transfer | learning | Strategy with Relevant Unlabeled Data for Remote Sensing Domain |
| Consensual Collaborative | learning | Method for Remote Sensing Image Classification Under Noisy Multi-Labels, A |
| Consensus Based Distributed Sparse Bayesian | learning | by Fast Marginal Likelihood Maximization |
| Consensus Graph | learning | for Multi-View Clustering |
| Consensus-Agent Deep Reinforcement | learning | for Face Aging |
| Conservative Approach for Unbiased | learning | on Unknown Biases, A |
| Conservative Visual | learning | for Object Detection with Minimal Hand Labeling Effort |
| Conservative-Progressive Collaborative | learning | for Semi-Supervised Semantic Segmentation |
| Considering Race a Problem of Transfer | learning | |
| Consistency | learning | via Decoding Path Augmentation for Transformers in Human Object Interaction Detection |
| Consistency of functional | learning | methods based on derivatives |
| Consistency-based Active | learning | for Object Detection |
| Consistency-based Self-supervised | learning | for Temporal Anomaly Localization |
| Consistency-based Semi-supervised Active | learning | : Towards Minimizing Labeling Cost |
| Consistent 3D Hand Reconstruction in Video via Self-Supervised | learning | |
| Consistent camera-invariant and noise-tolerant | learning | for unsupervised person re-identification |
| Consistent Discrepancy | learning | for Intra-Camera Supervised Person Re-Identification |
| Consistent Explanations by Contrastive | learning | |
| Consistent image analogies using semi-supervised | learning | |
| Consistent Intra-Video Contrastive | learning | With Asynchronous Long-Term Memory Bank |
| Consistent Iterative Multi-view Transfer | learning | for Person Re-identification |
| Consistent-Aware Deep | learning | for Person Re-identification in a Camera Network |
| Constellations and the Unsupervised | learning | of Graphs |
| Constrained Bipartite Graph | learning | for Imbalanced Multi-Modal Retrieval |
| Constrained clustering by spectral kernel | learning | |
| Constrained Deep Transfer Feature | learning | and Its Applications |
| Constrained Discriminative Projection | learning | for Image Classification |
| Constrained Few-shot Class-incremental | learning | |
| Constrained instance clustering in multi-instance multi-label | learning | |
| Constrained Local and Global Consistency for semi-supervised | learning | |
| Constrained Magnetic Resonance Spectroscopic Imaging by | learning | Nonlinear Low-Dimensional Models |
| Constrained marginal space | learning | for efficient 3D anatomical structure detection in medical images |
| Constrained matrix factorization for semi-weakly | learning | with label proportions |
| Constrained Maximum Likelihood | learning | of Bayesian Networks for Facial Action Recognition |
| Constrained Mean Shift Using Distant yet Related Neighbors for Representation | learning | |
| Constrained Metric | learning | by Permutation Inducing Isometries |
| Constrained Policy Optimization Algorithm for Autonomous Driving via Reinforcement | learning | |
| Constrained Semi-supervised | learning | Approach to Data Association, A |
| Constrained Semi-Supervised | learning | Using Attributes and Comparative Attributes |
| Constrained Spatial Adaptive Iterative | learning | Control for Trajectory Tracking of High Speed Train |
| Constrained Structure | learning | for Scene Graph Generation |
| Constrained Tensor Representation | learning | for Multi-View Semi-Supervised Subspace Clustering |
| Constrained Weight Optimization for | learning | without Activation Normalization |
| Constraint Directed | learning | for Unsupervised Image Sequence Segmentation |
| Constraint Inductive | learning | -Spectral Clustering Methodology for Personalized 3D Navigation, A |
| Constraint | learning | Feedback Dynamic-Model for Stereopsis |
| Construct of | learning | Model for Laparoscopic Surgery |
| ConStruct-VL: Data-Free Continual Structured VL Concepts | learning | * |
| Constructing a | learning | Map with Lattice for a Programming Course |
| Constructing an efficient and adaptive | learning | model for 3D object generation |
| Constructing Cooperative Intelligent Transport Systems for Travel Time Prediction With Deep | learning | Approaches |
| Constructing GRACE-Based 1 km Resolution Groundwater Storage Anomalies in Arid Regions Using an Improved Machine | learning | Downscaling Method: A Case Study in Alxa League, China |
| Construction of an Integrated Drought Monitoring Model Based on Deep | learning | Algorithms |
| Construction of Multi-Year Time-Series Profiles of Suspended Particulate Inorganic Matter Concentrations Using Machine | learning | Approach |
| Contactless Respiratory Rate Monitoring For ICU Patients Based On Unsupervised | learning | |
| Content-Adaptive Sketch Portrait Generation by Decompositional Representation | learning | |
| Content-aware Cubemap Projection for Panoramic Image via Deep Q- | learning | |
| Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature | learning | and Collaborative Affinity Metric Fusion |
| Content-based Image Retrieval and the Semantic Gap in the Deep | learning | Era |
| Content-based image retrieval model based on cost sensitive | learning | |
| Content-based medical image retrieval of CT images of liver lesions using manifold | learning | |
| Content-Based Visual Landmark Search via Multimodal Hypergraph | learning | |
| Content-Dependency Reduction With Multi-Task | learning | In Blind Stitched Panoramic Image Quality Assessment |
| Content-Insensitive Blind Image Blurriness Assessment Using Weibull Statistics and Sparse Extreme | learning | Machine |
| Content-Noise Complementary | learning | for Medical Image Denoising |
| Context Autoencoder for Self-supervised Representation | learning | |
| Context Aware Active | learning | of Activity Recognition Models |
| Context Encoders: Feature | learning | by Inpainting |
| Context Label | learning | : Improving Background Class Representations in Semantic Segmentation |
| Context prior-based with residual | learning | for face detection: A deep convolutional encoder-decoder network |
| Context-aware codebook | learning | for mobile landmark recognition |
| Context-Aware Correlation Filter | learning | Toward Peak Strength for Visual Tracking |
| Context-Aware Discriminative Vocabulary | learning | for Mobile Landmark Recognition |
| Context-Aware Feature | learning | for Noise Robust Person Search |
| Context-aware joint dictionary | learning | for color image demosaicking |
| Context-aware | learning | for automatic sports highlight recognition |
| Context-Aware | learning | Using Transferable Features for Classification of Breast Cancer Histology Images |
| Context-Aware Local Binary Feature | learning | for Face Recognition |
| Context-Aware Machine | learning | for Intelligent Transportation Systems: A Survey |
| Context-Aware Query Selection for Active | learning | in Event Recognition |
| Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement | learning | |
| Context-driven clustering by multi-class classification in an active | learning | framework |
| Context-Enhanced Representation | learning | for Single Image Deraining |
| Context-Patch Face Hallucination Based on Thresholding Locality-Constrained Representation and Reproducing | learning | |
| Context-Patch Representation | learning | With Adaptive Neighbor Embedding for Robust Face Image Super-Resolution |
| Context-regularized | learning | of fully convolutional networks for scene labeling |
| context-sensitive deep | learning | approach for microcalcification detection in mammograms, A |
| Context-Sensitive Human Activity Classification in Collaborative | learning | Environments |
| Context-Sensitive | learning | for Enhanced Audiovisual Emotion Classification |
| Context-Sensitive Temporal Feature | learning | for Gait Recognition |
| Context-Supported Deep | learning | Framework for Multimodal Brain Imaging Classification, A |
| Contextual Diversity for Active | learning | |
| Contextual Emotion | learning | Challenge |
| Contextual Gradient Scaling for Few-Shot | learning | |
| Contextual Information-Preserved Architecture | learning | for Remote-Sensing Scene Classification |
| Contextual Kernel and Spectral Methods for | learning | the Semantics of Images |
| Contextual kernel map | learning | for scene transduction |
| Contextual | learning | in the Selective Attention for Identification model (CL-SAIM): Modeling contextual cueing in visual search tasks |
| Contextual Online Dictionary | learning | for Hyperspectral Image Classification |
| Contextual Online | learning | for Multimedia Content Aggregation |
| Contextual Outpainting with Object-Level Contrastive | learning | |
| Contextual Similarity Regularized Metric | learning | for person re-identification |
| Contextualised | learning | -free three-dimensional body pose estimation from two-dimensional body features in monocular images |
| Contextualized Relation Predictive Model for Self-Supervised Group Activity Representation | learning | |
| Contextualized Spatio-Temporal Contrastive | learning | with Self-Supervision |
| Contextualizing Meta- | learning | via Learning to Decompose |
| Contextualizing Meta- | learning | via Learning to Decompose |
| ContIG: Self-supervised Multimodal Contrastive | learning | for Medical Imaging with Genetics |
| Continental-Scale Assessment of Density, Size, Distribution and Historical Trends of Farm Dams Using Deep | learning | Convolutional Neural Networks, A |
| Continual Adaptation of Visual Representations via Domain Randomization and Meta- | learning | |
| Continual Attentive Fusion for Incremental | learning | in Semantic Segmentation |
| Continual Contrastive | learning | for Cross-Dataset Scene Classification |
| Continual Evidential Deep | learning | for Out-of-Distribution Detection |
| Continual | learning | |
| Continual | learning | Based on OOD Detection and Task Masking |
| Continual | learning | by Asymmetric Loss Approximation With Single-Side Overestimation |
| Continual | learning | for adaptive social network identification |
| Continual | learning | for Anomaly Detection in Surveillance Videos |
| Continual | learning | for Blind Image Quality Assessment |
| Continual | learning | for Cross-Modal Image-Text Retrieval Based on Domain-Selective Attention |
| Continual | learning | for Document Image Binarization |
| Continual | learning | for Image-Based Camera Localization |
| Continual | learning | for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data |
| Continual | learning | for Out-of-Distribution Pedestrian Detection |
| Continual | learning | for Personalized Co-Speech Gesture Generation |
| Continual | learning | for Visual Search with Backward Consistent Feature Embedding |
| Continual | learning | in Computer Vision |
| Continual | learning | in cross-modal retrieval |
| Continual | learning | in Vision Transformer |
| Continual | learning | of Object Instances |
| Continual | learning | Of Predictive Models In Video Sequences Via Variational Autoencoders |
| Continual | learning | on 3D point clouds with random compressed rehearsal |
| Continual | learning | on Noisy Data Streams via Self-Purified Replay |
| Continual | learning | Survey: Defying Forgetting in Classification Tasks, A |
| Continual | learning | via Bit-Level Information Preserving |
| Continual | learning | via Dynamic Programming |
| Continual | learning | with Deep Streaming Regularized Discriminant Analysis |
| Continual | learning | with Dependency Preserving Hypernetworks |
| Continual | learning | With Extended Kronecker-Factored Approximate Curvature |
| Continual | learning | with Lifelong Vision Transformer |
| Continual | learning | with Neuron Activation Importance |
| Continual | learning | with Transformers for Image Classification |
| Continual | learning | , Fast and Slow |
| continual | learning | -guided training framework for pansharpening, A |
| Continual Neural Mapping: | learning | An Implicit Scene Representation from Sequential Observations |
| Continual Nuclei Segmentation via Prototype-Wise Relation Distillation and Contrastive | learning | |
| Continual Predictive | learning | from Videos |
| Continual Prototype Evolution: | learning | Online from Non-Stationary Data Streams |
| Continual Reinforcement | learning | in 3D Non-stationary Environments |
| Continual Representation | learning | for Biometric Identification |
| Continual semi-supervised | learning | through contrastive interpolation consistency |
| Continual Variational Autoencoder | learning | via Online Cooperative Memorization |
| Continual Zero-Shot | learning | through Semantically Guided Generative Random Walks |
| Continually | learning | Self-Supervised Representations with Projected Functional Regularization |
| Continuous Action Reinforcement | learning | From a Mixture of Interpretable Experts |
| Continuous Adaptation for Interactive Object Segmentation by | learning | from Corrections |
| Continuous and Discretized Pursuit | learning | Schemes: Various Algorithms and Their Comparison |
| Continuous Geodesic Convolutions for | learning | on 3D Shapes |
| Continuous Intermediate Token | learning | with Implicit Motion Manifold for Keyframe Based Motion Interpolation |
| Continuous label distribution | learning | |
| Continuous | learning | deraining network based on residual FFT convolution and contextual transformer module |
| Continuous | learning | Framework for Activity Recognition Using Deep Hybrid Feature Models, A |
| Continuous | learning | in a Changing Environment, A |
| Continuous | learning | of a Multilayered Network Topology in a Video Camera Network |
| Continuous | learning | of Face Attribute Synthesis |
| Continuous | learning | of Human Activity Models Using Deep Nets |
| Continuous Particle Swarm Optimization-Based Deep | learning | Architecture Search for Hyperspectral Image Classification |
| Continuous Sign Language Recognition via Reinforcement | learning | |
| Continuous-Space Gaussian Process Regression and Generalized Wiener Filtering with Application to | learning | Curves |
| Contour-Aware Equipotential | learning | for Semantic Segmentation |
| Contour-Aware Loss: Boundary-Aware | learning | for Salient Object Segmentation |
| Contour-Based | learning | for Object Detection |
| Contour-HOG: A Stub Feature based Level Set Method for | learning | Object Contour |
| Contour-Seed Pairs | learning | -Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images |
| ContraCluster: | learning | to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision |
| ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive | learning | |
| Contrast and Order Representations for Video Self-Supervised | learning | |
| Contrast to Divide: Self-Supervised Pre-Training for | learning | with Noisy Labels |
| Contrast, Stylize and Adapt: Unsupervised Contrastive | learning | Framework for Domain Adaptive Semantic Segmentation |
| Contrast-Based Unsupervised Hashing | learning | With Multi-Hashcode |
| Contrast-Reconstruction Representation | learning | for Self-Supervised Skeleton-Based Action Recognition |
| Contrast-weighted dictionary | learning | based saliency detection for VHR optical remote sensing images |
| Contrasting Contrastive Self-Supervised Representation | learning | Pipelines |
| Contrasting Forest Loss and Gain Patterns in Subtropical China Detected Using an Integrated LandTrendr and Machine- | learning | Method |
| Contrasting Quadratic Assignments for Set-Based Representation | learning | |
| Contrastive 3D Human Skeleton Action Representation | learning | via CrossMoCo With Spatiotemporal Occlusion Mask Data Augmentation |
| Contrastive Active | learning | Under Class Distribution Mismatch |
| Contrastive Bayesian Analysis for Deep Metric | learning | |
| Contrastive Boundary | learning | for Point Cloud Segmentation |
| Contrastive Coding for Active | learning | under Class Distribution Mismatch |
| Contrastive Continuity on Augmentation Stability Rehearsal for Continual Self-Supervised | learning | |
| Contrastive Correlation Preserving Replay for Online Continual | learning | |
| Contrastive Data | learning | for Facial Pose and Illumination Normalization |
| Contrastive Dual Gating: | learning | Sparse Features With Contrastive Learning |
| Contrastive Dual Gating: | learning | Sparse Features With Contrastive Learning |
| Contrastive Embedding for Generalized Zero-Shot | learning | |
| Contrastive Knowledge-Augmented Meta- | learning | for Few-Shot Classification |
| Contrastive | learning | |
| Contrastive | learning | Approach for Screenshot Demoireing, A |
| Contrastive | learning | based facial action unit detection in children with hearing impairment for a socially assistive robot platform |
| Contrastive | learning | based Hybrid Networks for Long-Tailed Image Classification |
| Contrastive | learning | for Compact Single Image Dehazing |
| Contrastive | learning | for Depth Prediction |
| Contrastive | learning | for Diverse Disentangled Foreground Generation |
| Contrastive | learning | for Label Efficient Semantic Segmentation |
| Contrastive | learning | for Natural Language-Based Vehicle Retrieval |
| Contrastive | learning | for Online Semi-Supervised General Continual Learning |
| Contrastive | learning | for Online Semi-Supervised General Continual Learning |
| Contrastive | learning | for Space-time Correspondence via Self-cycle Consistency |
| Contrastive | learning | for Sports Video: Unsupervised Player Classification |
| Contrastive | learning | for traffic flow forecasting based on multi graph convolution network |
| Contrastive | learning | for Unpaired Image-to-image Translation |
| Contrastive | learning | for Unsupervised Video Highlight Detection |
| Contrastive | learning | for Weakly Supervised Phrase Grounding |
| Contrastive | learning | Improves Model Robustness Under Label Noise |
| Contrastive | learning | in Frequency Domain for Non-I.I.D. Image Classification |
| Contrastive | learning | Network Based on Causal Attention for Fine-Grained Ship Classification in Remote Sensing Scenarios |
| Contrastive | learning | of graph encoder for accelerating pedestrian trajectory prediction training |
| Contrastive | learning | of Image Representations with Cross-Video Cycle-Consistency |
| Contrastive | learning | of Person-Independent Representations for Facial Action Unit Detection |
| Contrastive | learning | of Semantic Concepts for Open-set Cross-domain Retrieval |
| Contrastive | learning | of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition |
| Contrastive | learning | with semantic consistency constraint |
| Contrastive | learning | With Stronger Augmentations |
| Contrastive | learning | -based Robust Object Detection under Smoky Conditions |
| Contrastive Multi-View Kernel | learning | |
| Contrastive Multi-View | learning | for 3D Shape Clustering |
| Contrastive Objective for | learning | Disentangled Representations, A |
| Contrastive Positive Mining for Unsupervised 3D Action Representation | learning | |
| Contrastive Pseudo | learning | for Open-World DeepFake Attribution |
| Contrastive Regularization for Semi-Supervised | learning | |
| Contrastive Semi-Supervised | learning | for Domain Adaptive Segmentation Across Similar Anatomical Structures |
| Contrastive Semi-Supervised | learning | for Underwater Image Restoration via Reliable Bank |
| Contrastive Supervised Distillation for Continual Representation | learning | |
| Contrastive- | learning | -Based Time-Series Feature Representation for Parcel-Based Crop Mapping Using Incomplete Sentinel-2 Image Sequences |
| ContrastMask: Contrastive | learning | to Segment Every Thing |
| Contribution to Deep | learning | Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes, A |
| Contributor-Focused Intrinsic Quality Assessment of OpenStreetMap in Mozambique Using Unsupervised Machine | learning | , A |
| Control Double Inverted Pendulum by Reinforcement | learning | with Double CMAC Network |
| Convergence Analysis for | learning | Orthonormal Deep Linear Neural Networks |
| Convergence Properties of a Class of | learning | Vector Quantization Algorithms |
| Convergent 2-D Subspace | learning | With Null Space Analysis |
| Convergent Incoherent Dictionary | learning | Algorithm for Sparse Coding, A |
| Convex clustering with metric | learning | |
| Convex dictionary | learning | for single image super-resolution |
| Convex Formulation for | learning | a Shared Predictive Structure from Multiple Tasks, A |
| Convex Optimization Framework for Active | learning | , A |
| Convex Variational Model for | learning | Convolutional Image Atoms from Incomplete Data, A |
| Convexification of | learning | from Constraints |
| ConvGeN: A convex space | learning | approach for deep-generative oversampling and imbalanced classification of small tabular datasets |
| ConvMatch: Rethinking Network Design for Two-View Correspondence | learning | |
| Convolution in the Cloud: | learning | Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis |
| Convolution neural network joint with mixture of extreme | learning | machines for feature extraction and classification of accident images |
| Convolutional analysis operator | learning | for multifocus image fusion |
| Convolutional Analysis Operator | learning | : Acceleration and Convergence |
| Convolutional Analysis Operator | learning | : Dependence on Training Data |
| Convolutional Decision Trees for Feature | learning | and Segmentation |
| Convolutional Dictionary | learning | via Local Processing |
| Convolutional Dictionary | learning | : Acceleration and Convergence |
| Convolutional Features-Based Broad | learning | With LSTM for Multidimensional Facial Emotion Recognition in Human-Robot Interaction |
| Convolutional | learning | of Spatio-temporal Features |
| Convolutional LSTM based transportation mode | learning | from raw GPS trajectories |
| Convolutional Network, Deep Networks, | learning | for Compressive Sensing |
| Convolutional Neural Network Based Deep | learning | Technique for Identifying Road Attributes, A |
| Convolutional Neural Network for Remote-Sensing Scene Classification: Transfer | learning | Analysis |
| Convolutional neural network in the detection of lung carcinoma using transfer | learning | approach |
| Convolutional Neural Network-Based Deep | learning | Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data |
| Convolutional Neural Network-Driven Improvements in Global Cloud Detection for Landsat 8 and Transfer | learning | on Sentinel-2 Imagery |
| Convolutional prototype | learning | for zero-shot recognition |
| Convolutional recurrent neural networks: | learning | spatial dependencies for image representation |
| Convolved Multi-output Gaussian Processes for Semi-Supervised | learning | |
| Cooperative Adaptive Cruise Control: A Reinforcement | learning | Approach |
| Cooperative Adaptive Iterative | learning | Fault-Tolerant Control Scheme for Multiple Subway Trains |
| Cooperative and penalized competitive | learning | with application to kernel-based clustering |
| Cooperative behavior acquisition for mobile robots in dynamically changing real worlds via vision-based reinforcement | learning | and development |
| Cooperative Multitask | learning | for Sparsity-Driven SAR Imagery and Nonsystematic Error Autocalibration |
| Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional | learning | |
| Coordinated Control of Urban Expressway Integrating Adjacent Signalized Intersections Using Adversarial Network Based Reinforcement | learning | Method |
| Coordinated Local Metric | learning | |
| Coordinated multi-agent hierarchical deep reinforcement | learning | to solve multi-trip vehicle routing problems with soft time windows |
| Coordinating CAV Swarms at Intersections With a Deep | learning | Model |
| Coordination Control Strategy for Human-Machine Cooperative Steering of Intelligent Vehicles: A Reinforcement | learning | Approach |
| Coping with change: | learning | invariant and minimum sufficient representations for fine-grained visual categorization |
| Copying machine | learning | classifiers |
| Coral Reef Fish Detection and Recognition in Underwater Videos by Supervised Machine | learning | : Comparison Between Deep Learning and HOG+SVM Methods |
| Coral Reef Fish Detection and Recognition in Underwater Videos by Supervised Machine | learning | : Comparison Between Deep Learning and HOG+SVM Methods |
| Coral Reef Mapping with Remote Sensing and Machine | learning | : A Nurture and Nature Analysis in Marine Protected Areas |
| CORE: Consistent Representation | learning | for Face Forgery Detection |
| Coreset Sampling from Open-Set for Fine-Grained Self-Supervised | learning | |
| CORL: Compositional Representation | learning | for Few-Shot Classification |
| Corn Biomass Estimation by Integrating Remote Sensing and Long-Term Observation Data Based on Machine | learning | Techniques |
| Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine | learning | , and Spatial Cross-Validation |
| Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine | learning | |
| Corn Residue Covered Area Mapping with a Deep | learning | Method Using Chinese GF-1 B/D High Resolution Remote Sensing Images |
| Correcting GEDI Water Level Estimates for Inland Waterbodies Using Machine | learning | |
| Correcting Measurement Error in Satellite Aerosol Optical Depth with Machine | learning | for Modeling PM2.5 in the Northeastern USA |
| Correcting the document layout: a machine | learning | approach |
| Correctness Prediction, Accuracy Improvement and Generalization of Stereo Matching Using Supervised | learning | |
| Correlated and individual feature | learning | with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma |
| Correlated Label Propagation with Application to Multi-label | learning | |
| Correlation Filter | learning | Toward Peak Strength for Visual Tracking |
| Correlation Filter Selection for Visual Tracking Using Reinforcement | learning | |
| Correlation filter tracking via bootstrap | learning | |
| Correlation Filter Tracking via Distractor-Aware | learning | and Multi-Anchor Detection |
| Correlation Filter-Based Visual Tracking for UAV with Online Multi-Feature | learning | |
| Correlation Net: Spatiotemporal multimodal deep | learning | for action recognition |
| Correlation Tracking via Joint Discrimination and Reliability | learning | |
| Correntropy-Based Adaptive | learning | to Support Video Surveillance Systems |
| Correntropy-based robust multilayer extreme | learning | machines |
| Correntropy-Induced Wasserstein GCN: | learning | Graph Embedding via Domain Adaptation |
| Correspondence Attention Transformer: A Context-Sensitive Network for Two-View Correspondence | learning | |
| Correspondence Transformers with Asymmetric Feature | learning | and Matching Flow Super-Resolution |
| Correspondence-free Associative | learning | |
| Correspondence-Free Dictionary | learning | for Cross-View Action Recognition |
| CorrNet3D: Unsupervised End-to-end | learning | of Dense Correspondence for 3D Point Clouds |
| Corse-to-Fine Road Extraction Based on Local Dirichlet Mixture Models and Multiscale-High-Order Deep | learning | |
| CORSMAL Challenge: Multi-modal Fusion and | learning | for Robotics |
| CortexODE: | learning | Cortical Surface Reconstruction by Neural ODEs |
| Cosegmentation and Cosketch by Unsupervised | learning | |
| Cosine Similarity Metric | learning | for Face Verification |
| CoSleep: A Multi-View Representation | learning | Framework for Self-Supervised Learning of Sleep Stage Classification |
| CoSleep: A Multi-View Representation | learning | Framework for Self-Supervised Learning of Sleep Stage Classification |
| CoSpace: Common Subspace | learning | From Hyperspectral-Multispectral Correspondences |
| CoSSL: Co- | learning | of Representation and Classifier for Imbalanced Semi-Supervised Learning |
| CoSSL: Co- | learning | of Representation and Classifier for Imbalanced Semi-Supervised Learning |
| Cost-conscious comparison of supervised | learning | algorithms over multiple data sets |
| Cost-conscious multiple kernel | learning | |
| Cost-Effective Active | learning | for Deep Image Classification |
| Cost-effective and accurate monitoring of flowering across multiple tropical tree species over two years with a time series of high-resolution drone imagery and deep | learning | |
| Cost-Effective Vehicle Type Recognition in Surveillance Images With Deep Active | learning | and Web Data |
| Cost-Efficient Multi-Instance Multi-Label Active | learning | Via Correlation of Features |
| Cost-sensitive active | learning | for computer-assisted translation |
| Cost-Sensitive Active | learning | With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification |
| Cost-Sensitive Active Visual Category | learning | |
| Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme | learning | Machine |
| Cost-Sensitive Canonical Correlation Analysis for Semi-Supervised Multi-View | learning | |
| Cost-Sensitive Deep Metric | learning | for Fine-Grained Image Classification |
| Cost-sensitive dictionary | learning | for face recognition |
| Cost-Sensitive Graph Convolutional Network With Self-Paced | learning | for Hit-and-Run Analysis |
| Cost-Sensitive Latent Space | learning | for Imbalanced PolSAR Image Classification |
| Cost-sensitive | learning | in social image tagging: Review, New Ideas and Evaluation |
| Cost-sensitive | learning | of hierarchical tree classifiers for large-scale image classification and novel category detection |
| Cost-sensitive | learning | of top-down modulation for attentional control |
| Cost-Sensitive Local Binary Feature | learning | for Facial Age Estimation |
| Cost-Sensitive Multi-Label | learning | for Audio Tag Annotation and Retrieval |
| Cost-Sensitive Rank | learning | From Positive and Unlabeled Data for Visual Saliency Estimation |
| Cost-sensitive subspace | learning | for face recognition |
| Cost-sensitive subspace | learning | for human age estimation |
| CostNet: A Concise Overpass Spatiotemporal Network for Predictive | learning | |
| Cotton Fiber Quality Estimation Based on Machine | learning | Using Time Series UAV Remote Sensing Data |
| Cotton Seedling Detection and Counting Based on UAV Multispectral Images and Deep | learning | Methods |
| Cotton Stand Counting from Unmanned Aerial System Imagery Using MobileNet and CenterNet Deep | learning | Models |
| CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles Using Deep Reinforcement | learning | |
| Count on Me: | learning | to Count on a Single Image |
| Counterfactual Attention | learning | for Fine-Grained Visual Categorization and Re-identification |
| Counterfactual Cycle-Consistent | learning | for Instruction Following and Generation in Vision-Language Navigation |
| Counterfactual Generation Framework for Few-Shot | learning | |
| Counterfactual Vision and Language | learning | |
| Counterfactual Visual Dialog: Robust Commonsense Knowledge | learning | From Unbiased Training |
| Counting-based visual question answering with serial cascaded attention deep | learning | |
| County-Level Poverty Evaluation Using Machine | learning | , Nighttime Light, and Geospatial Data |
| Coupled adversarial | learning | for semi-supervised heterogeneous face recognition |
| Coupled analysis-synthesis dictionary | learning | for person re-identification |
| Coupled Convolutional Neural Network With Adaptive Response Function | learning | for Unsupervised Hyperspectral Super Resolution |
| Coupled depth | learning | |
| Coupled Dictionary and Feature Space | learning | with Applications to Cross-Domain Image Synthesis and Recognition |
| Coupled Dictionary | learning | for Automatic Multi-Label Brain Tumor Segmentation in Flair MRI images |
| Coupled Dictionary | learning | for Change Detection From Multisource Data |
| Coupled Dictionary | learning | for Multi-Contrast MRI Reconstruction |
| Coupled Dictionary | learning | for the Detail-Enhanced Synthesis of 3-D Facial Expressions |
| Coupled dictionary | learning | for unsupervised change detection between multimodal remote sensing images |
| Coupled dictionary | learning | in wavelet domain for Single-Image Super-Resolution |
| Coupled dimensionality reduction and classification for supervised and semi-supervised multilabel | learning | |
| coupled discriminative dictionary and transformation | learning | approach with applications to cross domain matching, A |
| Coupled End-to-End Transfer | learning | with Generalized Fisher Information |
| Coupled Kernel-Based Subspace | learning | |
| Coupled | learning | for Facial Deblur |
| Coupled Manifold | learning | for Retrieval Across Modalities |
| Coupled multiple dictionary | learning | based on edge sharpness for single-image super-resolution |
| Coupled Online Robust | learning | of Observation and Dictionary for Adaptive Analog-to-Information Conversion |
| Coupled Space | learning | for Image Style Transformation |
| Coupled-dynamic | learning | for vision and language: Exploring Interaction between different tasks |
| Coupling Semi-supervised | learning | and Example Selection for Online Object Tracking |
| Coupling travel characteristics identifying and deep | learning | for demand forecasting on car-hailing tourists: A case study of Beijing, China |
| court line extraction algorithm for badminton tournament videos with horizontal line projection | learning | , A |
| COutfitGAN: | learning | to Synthesize Compatible Outfits Supervised by Silhouette Masks and Fashion Styles |
| Covariance discriminative | learning | : A natural and efficient approach to image set classification |
| Covariant Peak Constraint for Accurate Keypoint Detection and Keypoint-Specific Descriptor | learning | |
| COVID-19 Detection from Lung Ultrasound Images using a Fuzzy Ensemble-based Transfer | learning | Technique |
| COVID-MTL: Multitask | learning | with Shift3D and random-weighted loss for COVID-19 diagnosis and severity assessment |
| CoVIO: Online Continual | learning | for Visual-Inertial Odometry |
| CP-mtML: Coupled Projection Multi-Task Metric | learning | for Large Scale Face Retrieval |
| cPCA++: An efficient method for contrastive feature | learning | |
| CPF: | learning | a Contact Potential Field to Model the Hand-Object Interaction |
| CR-FIQA: Face Image Quality Assessment by | learning | Sample Relative Classifiability |
| CR-SSL: A closely related self-supervised | learning | based approach for improving breast ultrasound tumor segmentation |
| CrabNet: Fully Task-Specific Feature | learning | for One-Stage Object Detection |
| Crack Detection and Refinement Via Deep Reinforcement | learning | |
| Crack Detection in As-Cast Steel Using Laser Triangulation and Machine | learning | |
| Crack Segmentation for Low-Resolution Images using Joint | learning | with Super- Resolution |
| Crack Segmentation on UAS-based Imagery using Transfer | learning | |
| CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial | learning | |
| Crafting a Toolchain for Image Restoration by Deep Reinforcement | learning | |
| Crafting Better Contrastive Views for Siamese Representation | learning | |
| Creating synthetic minority class samples based on autoencoder extreme | learning | machine |
| Creation of a Walloon Pasture Monitoring Platform Based on Machine | learning | Models and Remote Sensing |
| Creation of Wildfire Susceptibility Maps in Plumas National Forest Using InSAR Coherence, Deep | learning | , and Metaheuristic Optimization Approaches |
| Creativity Inspired Zero-Shot | learning | |
| Credible Dual-Expert | learning | for Weakly Supervised Semantic Segmentation |
| Credit Card Fraud Detection Based on Multilayer Perceptron and Extreme | learning | Machine Architectures |
| CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised | learning | |
| CREST: Convolutional Residual | learning | for Visual Tracking |
| CRF | learning | with CNN features for image segmentation |
| Crime Prediction and Monitoring in Porto, Portugal, Using Machine | learning | , Spatial and Text Analytics |
| Criteria Comparative | learning | for Real-Scene Image Super-Resolution |
| Critical | learning | Periods for Multisensory Integration in Deep Networks |
| Critical vector | learning | to construct RBF classifiers |
| CRNet: A Fast Continual | learning | Framework With Random Theory |
| CrOC: Cross-View Online Clustering for Dense Visual Representation | learning | |
| CroMo: Cross-Modal | learning | for Monocular Depth Estimation |
| Crop Height Estimation of Corn from Multi-Year RADARSAT-2 Polarimetric Observables Using Machine | learning | |
| Crop Mapping without Labels: Investigating Temporal and Spatial Transferability of Crop Classification Models Using a 5-Year Sentinel-2 Series and Machine | learning | |
| Crop Monitoring Using Satellite/UAV Data Fusion and Machine | learning | |
| Crop Rotation Modeling for Deep | learning | -Based Parcel Classification from Satellite Time Series |
| Crop Type Mapping from Optical and Radar Time Series Using Attention-Based Deep | learning | |
| Crop Yield Prediction Using Multitemporal UAV Data and Spatio-Temporal Deep | learning | Models |
| Crop-Planting Area Prediction from Multi-Source Gaofen Satellite Images Using a Novel Deep | learning | Model: A Case Study of Yangling District |
| Crop-Type Classification for Long-Term Modeling: An Integrated Remote Sensing and Machine | learning | Approach |
| CropAndWeed Dataset: a Multi-Modal | learning | Approach for Efficient Crop and Weed Manipulation, The |
| Crops Fine Classification in Airborne Hyperspectral Imagery Based on Multi-Feature Fusion and Deep | learning | |
| Cross Domain Lifelong | learning | Based on Task Similarity |
| Cross Domain Residual Transfer | learning | for Person Re-Identification |
| Cross Domain Shared Subspace | learning | for Unsupervised Transfer Classification |
| Cross Entropy Optimization of the Random Set Framework for Multiple Instance | learning | |
| Cross Euclidean-to-Riemannian Metric | learning | with Application to Face Recognition from Video |
| Cross modal metric | learning | with multi-level semantic relevance |
| Cross modal similarity | learning | with active queries |
| Cross Pixel Optical-Flow Similarity for Self-supervised | learning | |
| Cross View | learning | Approach for Skeleton-Based Action Recognition, A |
| Cross-Architecture Self-supervised Video Representation | learning | |
| Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated | learning | Approach |
| Cross-Articulation | learning | for Robust Detection of Pedestrians |
| Cross-Atlas Convolution for Parameterization Invariant | learning | on Textured Mesh Surface |
| Cross-Batch Memory for Embedding | learning | |
| Cross-category Video Highlight Detection via Set-based | learning | |
| Cross-Connected Networks for Multi-Task | learning | of Detection and Segmentation |
| Cross-Corpus Acoustic Emotion Recognition with Multi-Task | learning | : Seeking Common Ground While Preserving Differences |
| Cross-Corpus Speech Emotion Recognition Based on Few-Shot | learning | and Domain Adaptation |
| Cross-Database Transfer | learning | via Learnable and Discriminant Error-Correcting Output Codes |
| Cross-dataset | learning | for Generalizable Land Use Scene Classification |
| Cross-Dimensional Refined | learning | for Real-Time 3D Visual Perception from Monocular Video |
| Cross-Domain Automatic Modulation Classification Using Multimodal Information and Transfer | learning | |
| Cross-Domain Collaborative | learning | via Discriminative Nonparametric Bayesian Model |
| Cross-Domain Color Facial Expression Recognition Using Transductive Transfer Subspace | learning | |
| Cross-Domain Complementary | learning | Using Pose for Multi-Person Part Segmentation |
| Cross-Domain Contrastive | learning | for Unsupervised Domain Adaptation |
| Cross-Domain Correspondence | learning | for Exemplar-Based Image Translation |
| Cross-Domain Cross-Set Few-Shot | learning | via Learning Compact and Aligned Representations |
| Cross-Domain Cross-Set Few-Shot | learning | via Learning Compact and Aligned Representations |
| Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation | learning | |
| Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph | learning | |
| Cross-Domain Feature | learning | in Multimedia |
| Cross-domain Few-shot | learning | with Task-specific Adapters |
| Cross-Domain Gated | learning | for Domain Generalization |
| Cross-Domain Ground-Based Cloud Classification Based on Transfer of Local Features and Discriminative Metric | learning | |
| Cross-Domain Image-Based 3D Shape Retrieval by View Sequence | learning | |
| Cross-domain landslide mapping from large-scale remote sensing images using prototype-guided domain-aware progressive representation | learning | |
| Cross-Domain Latent Modulation for Variational Transfer | learning | |
| Cross-domain | learning | for underwater image enhancement |
| Cross-domain | learning | methods for high-level visual concept classification |
| Cross-Domain Mapping | learning | for Transductive Zero-Shot Learning |
| Cross-Domain Mapping | learning | for Transductive Zero-Shot Learning |
| Cross-Domain Multi-Prototypes with Contradictory Structure | learning | for Semi-Supervised Domain Adaptation Segmentation of Remote Sensing Images |
| Cross-Domain Multi-task | learning | for Object Detection and Saliency Estimation |
| Cross-Domain Product Representation | learning | for Rich-Content E-Commerce |
| Cross-domain representation | learning | by domain-migration generative adversarial network for sketch based image retrieval |
| Cross-domain Representation | learning | for Clothes Unfolding in Robot-assisted Dressing |
| Cross-domain road detection based on global-local adversarial | learning | framework from very high resolution satellite imagery |
| Cross-Domain Sample Relationship | learning | for Facial Expression Recognition |
| Cross-Domain Scene Unsupervised | learning | Segmentation With Dynamic Subdomains |
| Cross-Domain Self-Supervised Multi-task Feature | learning | Using Synthetic Imagery |
| Cross-domain Semantic Feature | learning | via Adversarial Adaptation Networks |
| Cross-Domain Similarity | learning | for Face Recognition in Unseen Domains |
| Cross-domain structure | learning | for visual data recognition |
| Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer | learning | Approach |
| Cross-Domain Transfer | learning | with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model |
| Cross-Domain Visual Matching via Generalized Similarity Measure and Feature | learning | |
| Cross-Encoder for Unsupervised Gaze Representation | learning | |
| Cross-Epoch | learning | for Weakly Supervised Anomaly Detection in Surveillance Videos |
| Cross-Generalization: | learning | Novel Classes from a Single Example by Feature Replacement |
| Cross-Image-Attention for Conditional Embeddings in Deep Metric | learning | |
| Cross-Label Suppression: A Discriminative and Fast Dictionary | learning | With Group Regularization |
| Cross-Layer Contrastive | learning | of Latent Semantics for Facial Expression Recognition |
| Cross- | learning | in analytic word recognition without segmentation |
| Cross-Level Multi-Modal Features | learning | With Transformer for RGB-D Object Recognition |
| Cross-Lingual Text Image Recognition via Multi-Task Sequence to Sequence | learning | |
| Cross-lingual transfer | learning | : A PARAFAC2 approach |
| Cross-Media | learning | for Image Sentiment Analysis in the Wild |
| Cross-Modal Attentional Context | learning | for RGB-D Object Detection |
| Cross-Modal Collaborative Representation | learning | and a Large-Scale RGBT Benchmark for Crowd Counting |
| Cross-Modal Contrastive | learning | for Text-to-Image Generation |
| Cross-Modal Contrastive | learning | Network for Few-Shot Action Recognition |
| Cross-Modal Correlation | learning | by Adaptive Hierarchical Semantic Aggregation |
| Cross-modal correlation | learning | with deep convolutional architecture |
| Cross-modal Deep | learning | Applications: Audio-visual Retrieval |
| Cross-Modal Feature Representation | learning | and Label Graph Mining in a Residual Multi-Attentional CNN-LSTM Network for Multi-Label Aerial Scene Classification |
| Cross-Modal Food Retrieval: | learning | a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism |
| Cross-Modal | learning | for Domain Adaptation in 3D Semantic Segmentation |
| Cross-Modal | learning | in Real World |
| Cross-Modal | learning | to Rank via Latent Joint Representation |
| Cross-Modal | learning | with 3D Deformable Attention for Action Recognition |
| Cross-modal Manifold Cutmix for Self-supervised Video Representation | learning | |
| Cross-modal Map | learning | for Vision and Language Navigation |
| Cross-modal propagation network for generalized zero-shot | learning | |
| Cross-modal prototype | learning | for zero-shot handwritten character recognition |
| Cross-modal Retrieval Using Contrastive | learning | of Visual-Semantic Embeddings |
| Cross-Modal Retrieval Using Multiordered Discriminative Structured Subspace | learning | |
| Cross-Modal Retrieval via Deep and Bidirectional Representation | learning | |
| Cross-Modal Self-Taught | learning | for Image Retrieval |
| Cross-modal semantic correlation | learning | by Bi-CNN network |
| Cross-Modal Subspace | learning | via Pairwise Constraints |
| Cross-Modal Supervision for | learning | Active Speaker Detection in Video |
| Cross-Modality Binary Code | learning | via Fusion Similarity Hashing |
| Cross-modality deep feature | learning | for brain tumor segmentation |
| Cross-Modality Image Synthesis via Weakly Coupled and Geometry Co-Regularized Joint Dictionary | learning | |
| Cross-Modality | learning | Approach for Vessel Segmentation in Retinal Images, A |
| Cross-Modality Microblog Sentiment Prediction via Bi-Layer Multimodal Hypergraph | learning | |
| Cross-modality person re-identification using hybrid mutual | learning | |
| Cross-Modality Person Re-Identification via Modality-Aware Collaborative Ensemble | learning | |
| Cross-modality person re-identification via multi-task | learning | |
| Cross-Paced Representation | learning | With Partial Curricula for Sketch-Based Image Retrieval |
| Cross-Part | learning | for Fine-Grained Image Classification |
| Cross-patch Dense Contrastive | learning | for Semi-supervised Segmentation of Cellular Nuclei in Histopathologic Images |
| Cross-Receiver Radio Frequency Fingerprint Identification Based on Contrastive | learning | and Subdomain Adaptation |
| Cross-resolution | learning | for Face Recognition |
| Cross-Resolution Person Re-Identification via Deep Group-Aware Representation | learning | |
| Cross-Resolution Person Re-identification with Deep Antithetical | learning | |
| Cross-scale contrastive triplet networks for graph representation | learning | |
| Cross-Scale Spatiotemporal Refinement | learning | for Skeleton-Based Action Recognition |
| Cross-scene target detection based on feature adaptation and uncertainty-aware pseudo-label | learning | for high resolution SAR images |
| Cross-Sensor Iris Recognition through Kernel | learning | |
| Cross-Session Motor Imagery EEG Classification using Self-Supervised Contrastive | learning | |
| Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep | learning | based domain adaptation |
| Cross-Spectral Image Patch Matching by | learning | Features of the Spatially Connected Patches in a Shared Space |
| Cross-Spectral Iris Recognition by | learning | Device-Specific Band |
| Cross-Stitch Networks for Multi-task | learning | |
| Cross-stream contrastive | learning | for self-supervised skeleton-based action recognition |
| Cross-task and cross-domain SAR target recognition: A meta-transfer | learning | approach |
| Cross-task Attention Mechanism for Dense Multi-task | learning | |
| Cross-Task Weakly Supervised | learning | From Instructional Videos |
| Cross-Training Deep Neural Networks for | learning | from Label Noise |
| Cross-View Action Modeling, | learning | , and Recognition |
| Cross-view action recognition by cross-domain | learning | |
| Cross-view action recognition via transductive transfer | learning | |
| Cross-View Action Recognition via Transferable Dictionary | learning | |
| Cross-View Asymmetric Metric | learning | for Unsupervised Person Re-Identification |
| Cross-view classification by joint adversarial | learning | and class-specificity distribution |
| Cross-View Discriminative Feature | learning | for Person Re-Identification |
| Cross-View Gait Recognition by Discriminative Feature | learning | |
| Cross-view object classification in traffic scene surveillance based on transductive transfer | learning | |
| Cross-View Policy | learning | for Street Navigation |
| Cross-View Representation | learning | : A Superior ContextIB Method for Logo Classification |
| Cross-view semantic projection | learning | for person re-identification |
| Cross-X | learning | for Fine-Grained Visual Categorization |
| CrossCLR: Cross-modal Contrastive | learning | For Multi-modal Video Representations |
| Crossmodal Representation | learning | for Zero-shot Action Recognition |
| Crossover | learning | for Fast Online Video Instance Segmentation |
| CrossPoint: Self-Supervised Cross-Modal Contrastive | learning | for 3D Point Cloud Understanding |
| Crosswalk Recognition Through Point-Cloud Processing and Deep- | learning | Suited to a Wearable Mobility Aid for the Visually Impaired |
| Crots: Cross-Domain Teacher-Student | learning | for Source-Free Domain Adaptive Semantic Segmentation |
| Crowd Counting From Limited Labeled Data Using Active | learning | |
| Crowd Counting with Deep Negative Correlation | learning | |
| Crowd Emotion Prediction for Human-Vehicle Interaction Through Modified Transfer | learning | and Fuzzy Logic Ranking |
| Crowd-Driven Deep | learning | Tracks Amazon Deforestation |
| Crowd-Powered Photo Enhancement Featuring an Active | learning | Based Local Filter |
| crowdsourced approach to student engagement recognition in e- | learning | environments, A |
| CRTransSar: A Visual Transformer Based on Contextual Joint Representation | learning | for SAR Ship Detection |
| CryoPoseNet: End-to-End Simultaneous | learning | of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data |
| CSANet for Video Semantic Segmentation With Inter-Frame Mutual | learning | |
| CSCL: Critical Semantic-consistent | learning | for Unsupervised Domain Adaptation |
| CSDA: | learning | Category-Scale Joint Feature for Domain Adaptive Object Detection |
| CSDL-Net: An iterative network based on compressed sensing and deep | learning | |
| CSG-Stump: A | learning | Friendly CSG-Like Representation for Interpretable Shape Parsing |
| CSMSDL: A common sequential dictionary | learning | algorithm for multi-subject FMRI data sets analysis |
| CSPNet: A New Backbone that can Enhance | learning | Capability of CNN |
| CSR-Net: | learning | Adaptive Context Structure Representation for Robust Feature Correspondence |
| CSVideoNet: A Real-Time End-to-End | learning | Framework for High-Frame-Rate Video Compressive Sensing |
| CT Perfusion Imaging of the Brain with Machine | learning | |
| CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle | learning | Ensemble (GAN-CIRCLE) |
| CT-Based Automated Algorithm for Airway Segmentation Using Freeze-and-Grow Propagation and Deep | learning | , A |
| CTBRNN: A Novel Deep- | learning | Based Signal Sequence Detector for Communications Systems |
| CTD: Cascaded Temporal Difference | learning | for the Mean-Standard Deviation Shortest Path Problem |
| Cuboids Revisited: | learning | Robust 3D Shape Fitting to Single RGB Images |
| Cueing, Feature Discovery, and One-Class | learning | for Synthetic-Aperture Radar Automatic Target Recognition |
| Cuepervision: self-supervised | learning | for continuous domain adaptation without catastrophic forgetting |
| Curiosity-Driven Class-Incremental | learning | via Adaptive Sample Selection |
| Curious Representation | learning | for Embodied Intelligence |
| Curious Robot: | learning | Visual Representations via Physical Interactions, The |
| cuRL: A Generic Framework for Bi-Criteria Optimum Path-Finding Based on Deep Reinforcement | learning | |
| CURL: Image Classification using co-training and Unsupervised Representation | learning | |
| Current trends in deep | learning | for Earth Observation: An open-source benchmark arena for image classification |
| CurricularFace: Adaptive Curriculum | learning | Loss for Deep Face Recognition |
| Curriculum | learning | Approach for Pain Intensity Recognition from Facial Expressions, A |
| Curriculum | learning | for Data-Efficient Vision-Language Alignment |
| Curriculum | learning | for Facial Expression Recognition |
| Curriculum | learning | for Multi-task Classification of Visual Attributes |
| Curriculum | learning | for printed text line recognition of ligature-based scripts |
| Curriculum | learning | of multiple tasks |
| Curriculum | learning | of visual attribute clusters for multi-task classification |
| Curriculum | learning | : A Survey |
| Curriculum self-paced | learning | for cross-domain object detection |
| Curriculum-Based Asymmetric Multi-Task Reinforcement | learning | |
| CurriculumNet: Weakly Supervised | learning | from Large-Scale Web Images |
| Curse of Mis-Alignment in Face Recognition: Problem and a Novel Mis-Alignment | learning | Solution |
| CurSeg: A pavement crack detector based on a deep hierarchical feature | learning | segmentation framework |
| Cursive character recognition by | learning | vector quantization |
| Curvature Augmented Deep | learning | for 3D Object Recognition |
| Curvature Generation in Curved Spaces for Few-Shot | learning | |
| Curvature-Adaptive Meta- | learning | for Fast Adaptation to Manifold Data |
| Curvature-aware manifold | learning | |
| Curvature-Balanced Feature Manifold | learning | for Long-Tailed Classification |
| Curvelet transform with | learning | -based tiling |
| Custom Color Enhancements by Statistical | learning | |
| Cut and paste curriculum | learning | with hard negative mining for point-of-sale systems |
| Cut-Paste Consistency | learning | for Semi-Supervised Lesion Segmentation |
| CutPaste: Self-Supervised | learning | for Anomaly Detection and Localization |
| CVCNet: | learning | Cost Volume Compression for Efficient Stereo Matching |
| CVINet: A deep | learning | based model for the diagnosis of chronic venous insufficiency in lower extremity using infrared thermal images |
| Cvlnet: Cross-view Semantic Correspondence | learning | for Video-based Camera Localization |
| CVPL: Associazione Italiana in Computer Vision, Pattern Recognition and Machi ne | learning | |
| CVPR 2020 continual | learning | in computer vision competition: Approaches, results, current challenges and future directions |
| CVRecon: Rethinking 3D Geometric Feature | learning | For Neural Reconstruction |
| Cyber Mobility Mirror: A Deep | learning | -Based Real-World Object Perception Platform Using Roadside LiDAR |
| CYBORG: Blending Human Saliency Into the Loss Improves Deep | learning | -Based Synthetic Face Detection |
| CycAs: Self-supervised Cycle Association for | learning | Re-identifiable Descriptions |
| Cycle Consistency Based Method for | learning | Disentangled Representation for Stochastic Video Prediction |
| Cycle optimization metric | learning | for few-shot classification |
| Cycle-Free Weakly Referring Expression Grounding With Self-Paced | learning | |
| Cycle-reconstructive subspace | learning | with class discriminability for unsupervised domain adaptation |
| Cycleptz: The | learning | -Based Control Method For Master-Slave Camera Systems |
| Cyclic Co- | learning | of Sounding Object Visual Grounding and Sound Separation |
| Cyclic | learning | : Bridging Image-Level Labels and Nuclei Instance Segmentation |
| Cyclic Transfer | learning | for Mandarin-English Code-Switching Speech Recognition |
| Cyclical | learning | Rates for Training Neural Networks |
| Cyclically-Trained Adversarial Network for Invariant Representation | learning | , A |
| CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep | learning | |
| CycMuNet+: Cycle-Projected Mutual | learning | for Spatial-Temporal Video Super-Resolution |
| Cytokeratin-Supervised Deep | learning | for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67 |
| Cytopathological image analysis using deep- | learning | networks in microfluidic microscopy |
| D&D: | learning | Human Dynamics from Dynamic Camera |
| D-CBRS: Accounting for Intra-Class Diversity in Continual | learning | |
| D-ID-Net: Two-Stage Domain and Identity | learning | for Identity-Preserving Image Generation From Semantic Segmentation |
| D-LEMA: Deep | learning | Ensembles from Multiple Annotations - Application to Skin Lesion Segmentation |
| D-STC: Deep | learning | with spatio-temporal constraints for train drivers detection from videos |
| D2C: Deep cumulatively and comparatively | learning | for human age estimation |
| D2F2WOD: | learning | Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation |
| D2Former: Jointly | learning | Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers |
| D2IM-Net: | learning | Detail Disentangled Implicit Fields from Single Images |
| D3Feat: Joint | learning | of Dense Detection and Description of 3D Local Features |
| D3Former: Debiased Dual Distilled Transformer for Incremental | learning | |
| DA3: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain | learning | |
| DAAL: Deep activation-based attribute | learning | for action recognition in depth videos |
| DAGMapper: | learning | to Map by Discovering Lane Topology |
| DAIL: Dataset-Aware and Invariant | learning | for Face Recognition* |
| Daily River Discharge Estimation Using Multi-Mission Radar Altimetry Data and Ensemble | learning | Regression in the Lower Mekong River Basin |
| DALSA: Domain Adaptation for Supervised | learning | From Sparsely Annotated MR Images |
| Dam Extraction from High-Resolution Satellite Images Combined with Location Based on Deep Transfer | learning | and Post-Segmentation with an Improved MBI |
| Damage-Map Estimation Using UAV Images and Deep | learning | Algorithms for Disaster Management System |
| DAML: Domain Adaptation Metric | learning | |
| DAMSL: Domain Agnostic Meta Score-based | learning | |
| Dance Interactive | learning | Systems: A Study on Interaction Workflow and Teaching Approaches |
| DAPC: Domain Adaptation People Counting via Style-level Transfer | learning | and Scene-aware Estimation |
| Dark Side Augmentation: Generating Diverse Night Examples for Metric | learning | |
| DAS: Densely-Anchored Sampling for Deep Metric | learning | |
| DASH-N: Joint Hierarchical Domain Adaptation and Feature | learning | |
| DASI: | learning | Domain Adaptive Shape Impression for 3D Object Reconstruction |
| DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised | learning | |
| Data Acquisition and Preparation for Dual-Reference Deep | learning | of Image Super-Resolution |
| Data Assimilation Method Combined with Machine | learning | and Its Application to Anthropogenic Emission Adjustment in CMAQ, A |
| Data Augmentation and Intelligent Recognition in Pavement Texture Using a Deep | learning | |
| Data Augmentation for a Deep | learning | Framework for Ventricular Septal Defect Ultrasound Image Classification |
| data augmentation methodology for training machine/deep | learning | gait recognition algorithms, A |
| Data Augmentation of Minority Class with Transfer | learning | for Classification of Imbalanced Breast Cancer Dataset Using Inception-V3 |
| Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel | learning | Framework |
| Data Augmented Flatness-aware Gradient Projection for Continual | learning | |
| Data Clustering Using Variational | learning | of Finite Scaled Dirichlet Mixture Models with Component Splitting |
| Data Condensation in Large Databases by Incremental | learning | with Support Vector Machines |
| Data Distillation: Towards Omni-Supervised | learning | |
| Data driven visual tracking via representation | learning | and online multi-class LPBoost learning |
| Data driven visual tracking via representation | learning | and online multi-class LPBoost learning |
| Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement | learning | Approach |
| Data fusion through cross-modality metric | learning | using similarity-sensitive hashing |
| Data Generation with Structure Enforcing Adversarial | learning | |
| Data Hiding, Steganography, Adversarial Networks, Convolutional Networks, Deep | learning | |
| Data Lifecycle Management in Evolving Input Distributions for | learning | -based Aerospace Applications |
| Data Mining as a Cloud Service for | learning | Artificial Intelligence |
| Data Mining in Systematic Reviews: A Bibliometric Analysis of Game-Based | learning | and Distance Learning |
| Data Mining in Systematic Reviews: A Bibliometric Analysis of Game-Based | learning | and Distance Learning |
| Data Poisoning Attack Aiming the Vulnerability of Continual | learning | |
| Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine | learning | and deep learning approaches |
| Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine | learning | and deep learning approaches |
| Data Reconstruction for Remotely Sensed Chlorophyll-a Concentration in the Ross Sea Using Ensemble-Based Machine | learning | |
| Data Representation and | learning | With Graph Diffusion-Embedding Networks |
| Data representations and generalization error in kernel based | learning | machines |
| Data Uncertainty | learning | in Face Recognition |
| Data-Adaptive Loss Function for Incomplete Data and Incremental | learning | in Semantic Image Segmentation, A |
| Data-aware relation | learning | -based graph convolution neural network for facial action unit recognition |
| Data-Based Perspective on Transfer | learning | , A |
| Data-Dependent Label Distribution | learning | for Age Estimation |
| Data-dependent multiple kernel | learning | algorithm based on soft-grouping |
| Data-Driven Air Traffic Sequencing Model Based on Pairwise Preference | learning | , A |
| Data-Driven Feature | learning | for Myocardial Segmentation of CP-BOLD MRI |
| Data-driven Latent Graph Structure | learning | for Diagnosis of Alzheimer's Syndrome |
| Data-Driven Selection of Land Product Validation Station Based on Machine | learning | |
| Data-Driven Sparse GLM for fMRI Analysis Using Sparse Dictionary | learning | With MDL Criterion, A |
| Data-Driven Spatial Adaptive Terminal Iterative | learning | Predictive Control for Automatic Stop Control of Subway Train With Actuator Saturation |
| Data-efficient Deep | learning | Framework for Segmentation and Classification of Histopathology Images, A |
| Data-Efficient Deep Reinforcement | learning | with Symmetric Consistency |
| Data-Efficient Graph Embedding | learning | for PCB Component Detection |
| Data-Efficient Language-Supervised Zero-Shot | learning | with Self-Distillation |
| Data-Efficient | learning | via Minimizing Hyperspherical Energy |
| Data-Efficient Semi-Supervised | learning | by Reliable Edge Mining |
| Data-Free | learning | of Student Networks |
| Data-Uncertainty Guided Multi-Phase | learning | for Semi-Supervised Object Detection |
| DATA: Domain-Aware and Task-Aware Self-supervised | learning | |
| Dataset Auditing Method for Collaboratively Trained Machine | learning | Models, A |
| Dataset Knowledge Transfer for Class-Incremental | learning | without Memory |
| Dataset Security for Machine | learning | : Data Poisoning, Backdoor Attacks, and Defenses |
| Datum-Adaptive Local Metric | learning | for Person Re-identification |
| DBCE: A Saliency Method for Medical Deep | learning | Through Anatomically-Consistent Free-Form Deformations |
| DBN-based structural | learning | and optimisation for automated handwritten character recognition |
| DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised | learning | |
| DC2: Dual-Camera Defocus Control by | learning | to Refocus |
| DC3DCD: Unsupervised | learning | for multiclass 3D point cloud change detection |
| DCCF: Deep Comprehensible Color Filter | learning | Framework for High-Resolution Image Harmonization |
| DCIL: Deep Contextual Internal | learning | for Image Restoration and Image Retargeting |
| DCL-Net: Deep Correspondence | learning | Network for 6D Pose Estimation |
| DDL-MVS: Depth Discontinuity | learning | for Multi-View Stereo Networks |
| DDLA: dual deep | learning | architecture for classification of plant species |
| DDoS Mitigation Based on Space-Time Flow Regularities in IoV: A Feature Adaption Reinforcement | learning | Approach |
| DDParcel: Deep | learning | Anatomical Brain Parcellation From Diffusion MRI |
| DDSL: Deep Differentiable Simplex Layer for | learning | Geometric Signals |
| De-biasing Neural Networks with Estimated Offset for Class Imbalanced | learning | |
| Deal: Difficulty-aware Active | learning | for Semantic Segmentation |
| Dealing with Cross-Task Class Discrimination in Online Continual | learning | |
| Dealing with Scarce Labelled Data: Semi-supervised Deep | learning | with Mix Match for Covid-19 Detection Using Chest X-ray Images |
| Dear-Net: | learning | Diversities for Skeleton-Based Early Action Recognition |
| DEBC Detection with Deep | learning | |
| Debiased Contrastive Curriculum | learning | for Progressive Generalizable Person Re-Identification |
| Debiased | learning | from Naturally Imbalanced Pseudo-Labels |
| Debiased Scene Graph Generation for Dual Imbalance | learning | |
| Debris Flow Susceptibility Mapping Using Machine- | learning | Techniques in Shigatse Area, China |
| Debris-Flow Susceptibility Assessment in China: A Comparison between Traditional Statistical and Machine | learning | Methods |
| Decade Survey of Content Based Image Retrieval Using Deep | learning | , A |
| Decay-weighted extreme | learning | machine for balance and optimization learning |
| Decay-weighted extreme | learning | machine for balance and optimization learning |
| Decentralized AI Data Management System In Federated | learning | , A |
| Decentralized Estimation using distortion sensitive | learning | vector quantization |
| Decentralized iterative | learning | control for hegerogeneous system with arbitrary interconnections |
| Decentralized | learning | with Multi-Headed Distillation |
| Decision Boundary Optimization for Few-shot Class-Incremental | learning | |
| Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold | learning | and Semi-Supervised Learning |
| Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold | learning | and Semi-Supervised Learning |
| Decision Fusion of Deep | learning | and Shallow Learning for Marine Oil Spill Detection |
| Decision Fusion of Deep | learning | and Shallow Learning for Marine Oil Spill Detection |
| decision-theoretic generalization of on-line | learning | and an application to boosting, A |
| Decoder-Free Approach for Unsupervised Clustering and Manifold | learning | with Random Triplet Mining, A |
| Decoding Brain Representations by Multimodal | learning | of Neural Activity and Visual Features |
| Decoding Generic Visual Representations from Human Brain Activity Using Machine | learning | |
| Decoding visual network-related dynamic functional connectivity for eyes-open and eyes-closed using machine | learning | |
| Decoding Visual Neural Representations by Multimodal | learning | of Brain-Visual-Linguistic Features |
| Decomposable Causal View of Compositional Zero-Shot | learning | , A |
| Decomposable Nonlocal Tensor Dictionary | learning | for Multispectral Image Denoising |
| Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation | learning | for Human Motion Prediction |
| Decomposed | learning | for Joint Segmentation and Categorization |
| Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot | learning | |
| Decomposition Methods and | learning | Approaches for Imbalanced Dataset: An Experimental Integration |
| Decomposition-based tensor | learning | regression for improved classification of multimedia |
| Decomposition-Based Transfer Distance Metric | learning | for Image Classification |
| DECORE: Deep Compression with Reinforcement | learning | |
| Decorrelated Adversarial | learning | for Age-Invariant Face Recognition |
| Decouple Before Interact: Multi-Modal Prompt | learning | for Continual Visual Question Answering |
| Decouple | learning | for Parameterized Image Operators |
| Decoupled Adversarial Contrastive | learning | for Self-supervised Adversarial Robustness |
| Decoupled appearance and motion | learning | for efficient anomaly detection in surveillance video |
| Decoupled Contrastive | learning | |
| Decoupled Contrastive | learning | for Intra-Camera Supervised Person Re-identification |
| Decoupled Frequency | learning | for Dynamic Scene Deblurring |
| Decoupled | learning | for Conditional Adversarial Networks |
| Decoupled | learning | Scheme for Real-world Burst Denoising from Raw Images, A |
| Decoupled Multi-task | learning | with Cyclical Self-Regulation for Face Parsing |
| Decoupled Object-Independent Image Features for Fine Phasing of Segmented Mirrors Using Deep | learning | |
| Decoupled representation for multi-view | learning | |
| Decoupled Representation | learning | for Character Glyph Synthesis |
| Decoupled Representation | learning | for Skeleton-Based Gesture Recognition |
| Decoupled Semantic Prototypes enable | learning | from diverse annotation types for semi-weakly segmentation in expert-driven domains |
| Decoupling | learning | and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning |
| Decoupling | learning | and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning |
| DEEMD: Drug Efficacy Estimation Against SARS-CoV-2 Based on Cell Morphology With Deep Multiple Instance | learning | |
| Deep 1D Landmark Representation | learning | for Space Target Pose Estimation |
| Deep 360 Pilot: | learning | a Deep Agent for Piloting through 360 deg; Sports Videos |
| Deep Active | learning | Based on Saliency-Guided Data Augmentation for Image Classification |
| Deep Active | learning | for Biased Datasets via Fisher Kernel Self-Supervision |
| Deep Active | learning | for Cryo-Electron Tomography Classification |
| Deep Active | learning | for Fibrosis Segmentation of Chest CT Scans from Covid-19 Patients |
| Deep Active | learning | for Human Pose Estimation Via Consistency Weighted Core-Set Approach |
| Deep active | learning | for image classification |
| Deep Active | learning | for In Situ Plankton Classification |
| Deep Active | learning | for Joint Classification Segmentation with Weak Annotator |
| Deep Active | learning | from Multispectral Data Through Cross-Modality Prediction Inconsistency |
| Deep Active | learning | Intrusion Detection and Load Balancing in Software-Defined Vehicular Networks |
| Deep Adaptive Few Example | learning | for Microscopy Image Cell Counting |
| Deep adaptive | learning | for safe and efficient navigation of pedestrian dynamics |
| Deep adaptive | learning | for writer identification based on single handwritten word images |
| Deep Adversarial Active | learning | With Model Uncertainty For Image Classification |
| Deep Adversarial Metric | learning | |
| Deep Adversarial Metric | learning | |
| Deep Affective | learning | and Context Modeling |
| Deep Age Distribution | learning | for Apparent Age Estimation |
| Deep and Domain Transfer | learning | Aided Photoacoustic Microscopy: Acoustic Resolution to Optical Resolution |
| Deep and Embedded | learning | Approach for Traffic Flow Prediction in Urban Informatics |
| Deep and fast: Deep | learning | hashing with semi-supervised graph construction |
| Deep and joint | learning | of longitudinal data for Alzheimer's disease prediction |
| Deep and low-level feature based attribute | learning | for person re-identification |
| Deep and Machine | learning | Image Classification of Coastal Wetlands Using Unpiloted Aircraft System Multispectral Images and Lidar Datasets |
| Deep and Structured Metric | learning | Method for Robust Person Re-Identification, A |
| Deep and Structured Robust Information Theoretic | learning | for Image Analysis |
| Deep anomaly detection with self-supervised | learning | and adversarial training |
| Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask | learning | |
| Deep Asymmetric Metric | learning | via Rich Relationship Mining |
| Deep attention aware feature | learning | for person re-Identification |
| Deep Auto-Encoders With Sequential | learning | for Multimodal Dimensional Emotion Recognition |
| Deep Autoencoders With Multitask | learning | for Bilinear Hyperspectral Unmixing |
| Deep Battery Saver: End-to-End | learning | for Power Constrained Contrast Enhancement |
| Deep belief network based statistical feature | learning | for fingerprint liveness detection |
| Deep Bilateral | learning | for Stereo Image Super-Resolution |
| Deep Bilevel | learning | |
| Deep Bilinear | learning | for RGB-D Action Recognition |
| deep biometric hash | learning | framework for three advanced hand-based biometrics, A |
| Deep Blind Un-Supervised | learning | Network for Single Image Super Resolution |
| Deep Bregman divergence for self-supervised representations | learning | |
| Deep Canonical Time Warping for Simultaneous Alignment and Representation | learning | of Sequences |
| Deep Cascade Model-Based Face Recognition: When Deep-Layered | learning | Meets Small Data |
| Deep Cascade- | learning | Model via Recurrent Attention for Immunofixation Electrophoresis Image Analysis |
| Deep cascaded cross-modal correlation | learning | for fine-grained sketch-based image retrieval |
| Deep Closest Point: | learning | Representations for Point Cloud Registration |
| Deep Clustering Based on Contractive Autoencoder and Self-paced | learning | |
| Deep Clustering for Unsupervised | learning | of Visual Features |
| Deep Clustering via Automatic Feature Embedded | learning | for Human Activity Recognition, A |
| Deep Co-occurrence Feature | learning | for Visual Object Recognition |
| Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised | learning | |
| Deep Collocative | learning | for Immunofixation Electrophoresis Image Analysis |
| Deep Compositional Metric | learning | |
| Deep Constrained Low-Rank Subspace | learning | for Multi-View Semi-Supervised Classification |
| Deep Continual | learning | for Emerging Emotion Recognition |
| Deep Contrast | learning | for Salient Object Detection |
| Deep Convolutional Dictionary | learning | for Image Denoising |
| Deep Convolutional Framelets: A General Deep | learning | Framework for Inverse Problems |
| Deep Convolutional Neural Networks and | learning | ECG Features for Screening Paroxysmal Atrial Fibrillation Patients |
| Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer | learning | |
| Deep convolutional neural networks with transfer | learning | for automated brain image classification |
| Deep Correlated Holistic Metric | learning | for Sketch-Based 3D Shape Retrieval |
| Deep Correlation Feature | learning | for Face Verification in the Wild |
| Deep Cosine Metric | learning | for Person Re-identification |
| Deep Cost-Sensitive and Order-Preserving Feature | learning | for Cross-Population Age Estimation |
| Deep Counterfactual Representation | learning | for Visual Recognition Against Weather Corruptions |
| Deep Coupled Metric | learning | for Cross-Modal Matching |
| Deep Coupled-Representation | learning | for Sparse Linear Inverse Problems With Side Information |
| Deep Credible Metric | learning | for Unsupervised Domain Adaptation Person Re-identification |
| Deep Cross-Domain Few-Shot | learning | for Hyperspectral Image Classification |
| Deep Cross-Layer Collaborative | learning | Network for Online Knowledge Distillation |
| Deep Cross-Modal Projection | learning | for Image-Text Matching |
| Deep Cross-Modal Representation | learning | and Distillation for Illumination-Invariant Pedestrian Detection |
| Deep Cross-Modality Adaptation via Semantics Preserving Adversarial | learning | for Sketch-Based 3D Shape Retrieval |
| Deep Cross-species Feature | learning | for Animal Face Recognition via Residual Interspecies Equivariant Network |
| Deep Decision Trees for Discriminative Dictionary | learning | with Adversarial Multi-agent Trajectories |
| Deep Decomposition | learning | for Inverse Imaging Problems |
| Deep Deformable Patch Metric | learning | for Person Re-Identification |
| Deep Dehazing Network With Latent Ensembling Architecture and Adversarial | learning | |
| Deep Depth Super-Resolution: | learning | Depth Super-Resolution Using Deep Convolutional Neural Network |
| Deep Descriptor | learning | with Auxiliary Classification Loss for Retrieving Images of Silk Fabrics in the Context of Preserving European Silk Heritage |
| Deep Dichromatic Guided | learning | for Illuminant Estimation |
| Deep dictionary | learning | application in GPR B-scan images |
| Deep dictionary | learning | for fine-grained image classification |
| Deep Dictionary | learning | : A PARametric NETwork Approach |
| Deep Diffusion MRI Registration (DDMReg): A Deep | learning | Method for Diffusion MRI Registration |
| Deep Discrete Hashing for Label Distribution | learning | |
| Deep discriminant generation-shared feature | learning | for image-based kinship verification |
| Deep Discriminative Feature Models (DDFMs) for Set Based Face Recognition and Distance Metric | learning | |
| Deep Discriminative Representation | learning | for Face Verification and Person Re-Identification on Unconstrained Condition |
| Deep Discriminative Representation | learning | with Attention Map for Scene Classification |
| Deep Dual | learning | for Semantic Image Segmentation |
| Deep Dynamic Memory Augmented Attentional Dictionary | learning | for Image Denoising |
| Deep Edge Guided Recurrent Residual | learning | for Image Super-Resolution |
| Deep Efficient Continuous Manifold | learning | for Time Series Modeling |
| Deep eigen-filters for face recognition: Feature representation via unsupervised multi-structure filter | learning | |
| Deep Elastic Networks With Model Selection for Multi-Task | learning | |
| Deep embedding | learning | with adaptive large margin N-pair loss for image retrieval and clustering |
| Deep Embedding | learning | With Discriminative Sampling Policy |
| Deep Ensemble | learning | Approach to Lung CT Segmentation for Covid-19 Severity Assessment, A |
| Deep Ensemble | learning | by Diverse Knowledge Distillation for Fine-Grained Object Classification |
| Deep Ensemble | learning | Model Based on Covariance Pooling of Multi-Layer CNN Features |
| Deep Entwined | learning | Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion |
| Deep Facial Age Estimation Using Conditional Multitask | learning | With Weak Label Expansion |
| Deep Factorized Metric | learning | |
| Deep Fair Clustering for Visual | learning | |
| Deep feature | learning | for dummies: A simple auto-encoder training method using Particle Swarm Optimisation |
| Deep feature | learning | for gender classification with covered/camouflaged faces |
| Deep feature | learning | via structured graph Laplacian embedding for person re-identification |
| Deep feature | learning | with relative distance comparison for person re-identification |
| Deep features for person re-identification on metric | learning | |
| Deep federated | learning | hybrid optimization model based on encrypted aligned data |
| Deep Few Shot | learning | |
| Deep Few-Shot | learning | for Hyperspectral Image Classification |
| Deep finger texture | learning | for verifying people |
| Deep Fisher discriminant | learning | for mobile hand gesture recognition |
| Deep Fisher Kernels: End to End | learning | of the Fisher Kernel GMM Parameters |
| Deep Fusion Feature Representation | learning | With Hard Mining Center-Triplet Loss for Person Re-Identification |
| Deep Generalized | learning | Model for PET Image Reconstruction |
| Deep Generative Model for Image Inpainting With Local Binary Pattern | learning | and Spatial Attention |
| Deep Generative-Discriminative | learning | for Multimodal Representation in Imaging Genetics, A |
| Deep Geodesic | learning | for Segmentation and Anatomical Landmarking |
| Deep Geometric Functional Maps: Robust Feature | learning | for Shape Correspondence |
| Deep Gesture Video Generation With | learning | on Regions of Interest |
| Deep gradient prior network for DEM super-resolution: Transfer | learning | from image to DEM |
| Deep Graph Metric | learning | for Weakly Supervised Person Re-Identification |
| Deep Graph-Convolutional Generative Adversarial Network for Semi-Supervised | learning | on Graphs |
| Deep Graphical Feature | learning | for the Feature Matching Problem |
| Deep Growing | learning | |
| Deep Guided | learning | for Fast Multi-Exposure Image Fusion |
| Deep Hash | learning | for Remote Sensing Image Retrieval |
| Deep hashing for compact binary codes | learning | |
| Deep Hashing | learning | for Visual and Semantic Retrieval of Remote Sensing Images |
| Deep hierarchical guidance and regularization | learning | for end-to-end depth estimation |
| Deep High-Resolution Representation | learning | for Cross-Resolution Person Re-Identification |
| Deep High-Resolution Representation | learning | for Human Pose Estimation |
| Deep High-Resolution Representation | learning | for Visual Recognition |
| Deep Human-Interaction and Association by Graph-Based | learning | for Multiple Object Tracking in the Wild |
| Deep Hybrid Graph Kernel Through Deep | learning | Networks, A |
| Deep hybrid | learning | for facial expression binary classifications and predictions |
| Deep Hybrid Similarity | learning | for Person Re-Identification |
| Deep Image Clustering Using Self- | learning | Optimization in a Variational Auto-encoder |
| Deep image clustering with contrastive | learning | and multi-scale graph convolutional networks |
| Deep Image Comparator: | learning | to Visualize Editorial Change |
| Deep Image Prior | learning | Algorithm for Joint Selective Segmentation and Registration, A |
| Deep Image Retrieval: | learning | Global Representations for Image Search |
| Deep Imbalanced | learning | for Face Recognition and Attribute Prediction |
| Deep In-Loop Filtering via Multi-Domain Correlation | learning | and Partition Constraint for Multiview Video Coding |
| deep inference | learning | framework for healthcare, A |
| Deep Inhomogeneous Regularization For Transfer | learning | |
| Deep Internal | learning | for Inpainting of Cloud-Affected Regions in Satellite Imagery |
| Deep intra-image contrastive | learning | for weakly supervised one-step person search |
| Deep Inverse Halftoning via Progressively Residual | learning | |
| Deep Inverse Reinforcement | learning | for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion |
| Deep joint discriminative | learning | for vehicle re-identification and retrieval |
| Deep k-Means: Jointly clustering with k-Means and | learning | representations |
| Deep Kernel Extreme- | learning | Machine for the Spectral-Spatial Classification of Hyperspectral Imagery |
| Deep Label Distribution | learning | for Apparent Age Estimation |
| Deep Label Distribution | learning | With Label Ambiguity |
| Deep Label Prior: Pre-Training-Free Salient Object Detection Network Based on Label | learning | |
| Deep Latent Spectral Representation | learning | -Based Hyperspectral Band Selection for Target Detection |
| Deep | learning | 3D Shape Surfaces Using Geometry Images |
| Deep | learning | Adapted to Differential Neural Networks Used as Pattern Classification of Electrophysiological Signals |
| Deep | learning | Advances in Computer Vision with 3D Data: A Survey |
| Deep | learning | Aided Time-Frequency Analysis Filter Framework for Suppressing Ionosphere Clutter |
| Deep | learning | algorithm for breast masses classification in mammograms |
| Deep | learning | Algorithm for Urban Feature Extraction Using SAR Data |
| deep | learning | algorithm to detect and classify sun glint from high-resolution aerial imagery over shallow marine environments, A |
| Deep | learning | Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography |
| Deep | learning | and Adaptive Graph-Based Growing Contours for Agricultural Field Extraction |
| deep | learning | and ensemble learning based architecture for metro passenger flow forecast, A |
| deep | learning | and ensemble learning based architecture for metro passenger flow forecast, A |
| Deep | learning | And Interactivity For Video Rotoscoping |
| Deep | learning | and machine learning-based early survival predictions of glioblastoma patients using pre-operative three-dimensional brain magnetic resonance imaging modalities |
| Deep | learning | and machine learning-based early survival predictions of glioblastoma patients using pre-operative three-dimensional brain magnetic resonance imaging modalities |
| Deep | learning | and mapping based ternary change detection for information unbalanced images |
| Deep | learning | and Music Adversaries |
| Deep | learning | and optimization algorithms for automatic breast cancer detection |
| Deep | learning | and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response |
| Deep | learning | and recurrent connectionist-based approaches for Arabic text recognition in videos |
| Deep | learning | and RGB-D based human action, human-human and human-object interaction recognition: A survey |
| Deep | learning | Anthropomorphic 3D Point Clouds from a Single Depth Map Camera Viewpoint |
| Deep | learning | Application for Classification of Ionospheric Height Profiles Measured by Radio Occultation Technique |
| Deep | learning | Application for Deformation Prediction from Ground-Based InSAR, A |
| Deep | learning | Application to Map Weed Spatial Extent from Unmanned Aerial Vehicles Imagery, A |
| Deep | learning | Application to Surface Properties Retrieval Using TIR Measurements: A Fast Forward/Reverse Scheme to Deal with Big Data Analysis from New Satellite Generations |
| Deep | learning | applications in pulmonary medical imaging: Recent updates and insights on COVID-19 |
| Deep | learning | Applications on Multitemporal SAR (Sentinel-1) Image Classification Using Confined Labeled Data: The Case of Detecting Rice Paddy in South Korea |
| Deep | learning | Applied to Water Segmentation |
| Deep | learning | Approach for Automatic Segmentation of Dirt on Cattle Skin using Image Data |
| Deep | learning | approach for brain tumor classification using metaheuristic optimization with gene expression data |
| Deep | learning | Approach for Burned Area Segmentation with Sentinel-2 Data, A |
| Deep | learning | Approach for Car Detection in UAV Imagery |
| deep | learning | approach for classification of COVID and pneumonia using DenseNet-201, A |
| deep | learning | approach for detecting and correcting highlights in endoscopic images, A |
| Deep | learning | Approach for Devanagari Script Recognition |
| deep | learning | approach for face recognition based on angularly discriminative features, A |
| Deep | learning | Approach for Flight Delay Prediction Through Time-Evolving Graphs, A |
| deep | learning | approach for iris sensor model identification, A |
| Deep | learning | Approach for LiDAR Resolution-Agnostic Object Detection, A |
| Deep | learning | Approach for Long-Term Traffic Flow Prediction With Multifactor Fusion Using Spatiotemporal Graph Convolutional Network, A |
| deep | learning | approach for mapping and dating burned areas using temporal sequences of satellite images, A |
| Deep | learning | Approach for Microwave and Millimeter-Wave Radiometer Calibration, A |
| Deep | learning | Approach for Multi-Frame In-Loop Filter of HEVC, A |
| deep | learning | approach for multi-stage classification of brain tumor through magnetic resonance images, A |
| Deep | learning | Approach for Object Classification on Raw and Reconstructed GBSAR Data |
| Deep | learning | Approach for Paddy Field Detection Using Labeled Aerial Images: The Case of Detecting and Staging Paddy Fields in Central and Southern Taiwan |
| Deep | learning | Approach for Prediction of IVF Implantation Outcome from Day 3 and Day 5 Time-Lapse Human Embryo Image Sequences, A |
| Deep | learning | Approach for Real-Time 3D Human Action Recognition from Skeletal Data, A |
| Deep | learning | Approach for Red Lesions Detection in Video Capsule Endoscopies, A |
| Deep | learning | approach for segmentation of plain carbon steel microstructure images |
| deep | learning | approach for the classification of TB from NIH CXR dataset, A |
| deep | learning | approach for the segmentation of myocardial diseases, A |
| Deep | learning | Approach for Urban Underground Objects Detection From Vehicle-borne Ground Penetrating Radar Data in Real-Time, A |
| Deep | learning | Approach in Aerial Imagery for Supporting Land Search and Rescue Missions |
| Deep | learning | Approach in Gregg Shorthand Word to English-Word Conversion |
| Deep | learning | Approach in the Discrete Cosine Transform Domain to Median Filtering Forensics, A |
| Deep | learning | Approach to an Enhanced Building Footprint and Road Detection in High-Resolution Satellite Imagery, A |
| Deep | learning | Approach to Clustering Visual Arts, A |
| Deep | learning | Approach to Detect Real-Time Vehicle Maneuvers Based on Smartphone Sensors, A |
| deep | learning | approach to document image quality assessment, A |
| deep | learning | approach to DTM extraction from imagery using rule-based training labels, A |
| Deep | learning | Approach to Estimate Soil Organic Carbon from Remote Sensing, A |
| Deep | learning | approach to generate offline handwritten signatures based on online samples |
| Deep | learning | Approach to Hair Segmentation and Color Extraction from Facial Images, A |
| deep | learning | approach to handwritten text recognition in the presence of struck-out text, A |
| Deep | learning | Approach to Improve Spatial Resolution of GOES-17 Wildfire Boundaries Using VIIRS Satellite Data |
| Deep | learning | Approach to Improve the Retrieval of Temperature and Humidity Profiles From a Ground-Based Microwave Radiometer, A |
| Deep | learning | Approach to Increase the Value of Satellite Data for PM2.5 Monitoring in China, A |
| Deep | learning | Approach to Infer Employment Status of Passengers by Using Smart Card Data, A |
| deep | learning | approach to patch-based image inpainting forensics, A |
| Deep | learning | Approach to Solar-Irradiance Forecasting in Sky-Videos, A |
| Deep | learning | Approach to the Detection of Gossans in the Canadian Arctic, A |
| Deep | learning | Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder, A |
| Deep | learning | Approach to Writer Identification Using Inertial Sensor Data of Air-Handwriting, A |
| Deep | learning | Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review |
| Deep | learning | Approaches for Gynaecological Ultrasound Image Segmentation: A Radio-Frequency vs B-mode Comparison |
| Deep | learning | Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images |
| Deep | learning | Approaches for Image-Based Detection and Classification of Structural Defects in Bridges |
| Deep | learning | Approaches for Wildland Fires Remote Sensing: Classification, Detection, and Segmentation |
| Deep | learning | approaches for workout repetition counting and validation |
| Deep | learning | Approaches to Earth Observation Change Detection |
| Deep | learning | Architecture for Batch-mode Fully Automated Field Boundary Detection, A |
| Deep | learning | architecture for pedestrian 3-D localization and tracking using multiple cameras |
| deep | learning | architecture for protein-protein Interaction Article identification, A |
| Deep | learning | Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit |
| Deep | learning | architectures for domain adaptation in HOV/HOT lane enforcement |
| Deep | learning | Architectures for Soil Property Prediction |
| Deep | learning | assisted robust visual tracking with adaptive particle filtering |
| Deep | learning | based 3d reconstruction for phenotyping of wheat seeds: a dataset, challenge, and baseline method |
| Deep | learning | based Alzheimer's disease early diagnosis using T2w segmented gray matter MRI |
| Deep | learning | Based Approach for Synthesizing Realistic Depth Maps, A |
| Deep | learning | based automated detection of intraretinal cystoid fluid |
| Deep | learning | Based Automated Vickers Hardness Measurement |
| Deep | learning | based automatic detection of uninformative images in pulmonary optical endomicroscopy |
| Deep | learning | Based Automatic Immune Cell Detection for Immunohistochemistry Images |
| Deep | learning | Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving |
| Deep | learning | Based Binocular Detection and Localization Method for Roses |
| Deep | learning | Based Bioresorbable Vascular Scaffolds Detection in IVOCT Images |
| Deep | learning | Based Caching for Self-Driving Cars in Multi-Access Edge Computing |
| Deep | learning | based cloud detection for medium and high resolution remote sensing images of different sensors |
| Deep | learning | Based Computer Vision Technique for Automatic Heat Detection in Cows |
| Deep | learning | based Corn Kernel Classification |
| Deep | learning | Based Counter-Forensic Image Classification for Camera Model Identification |
| Deep | learning | Based Cross-Spectral Disparity Estimation For Stereo Imaging |
| Deep | learning | Based Dimple Segmentation for Quantitative Fractography |
| Deep | learning | Based Domain Adaptation with Data Fusion for Aerial Image Data Analysis |
| Deep | learning | Based EBCOT Source Symbol Prediction Technique for JPEG2000 Image Compression Architecture |
| Deep | learning | Based EEG Analysis Using Video Analytics |
| Deep | learning | Based Electric Pylon Detection in Remote Sensing Images |
| Deep | learning | Based Fence Segmentation and Removal from an Image Using a Video Sequence |
| Deep | learning | Based Fossil-Fuel Power Plant Monitoring in High Resolution Remote Sensing Images: A Comparative Study |
| Deep | learning | Based Framework for Malaria Diagnosis on High Variation Data Set, A |
| Deep | learning | based Glaucoma Network Classification (GNC) using retinal images |
| Deep | learning | Based Hand Detection in Cluttered Environment Using Skin Segmentation |
| Deep | learning | based HEVC in-loop filter and noise reduction |
| Deep | learning | based human behavior recognition in industrial workflows |
| Deep | learning | Based Intelligent Basketball Arena with Energy Image |
| Deep | learning | Based Joint PET Image Reconstruction and Motion Estimation |
| Deep | learning | Based Just Noticeable Difference and Perceptual Quality Prediction Models for Compressed Video |
| Deep | learning | Based Landmark Matching For Aerial Geolocalization |
| Deep | learning | based language and orientation recognition in document analysis |
| Deep | learning | Based Lightweight Human Activity Recognition System Using Reconstructed WiFi CSI, A |
| Deep | learning | Based Mask Detection In Smart Home Entries During The Epidemic Process |
| Deep | learning | Based Method for Railway Overhead Wire Reconstruction from Airborne LiDAR Data, A |
| Deep | learning | Based Method to Delineate the Wet/Dry Shoreline and Compute Its Elevation Using High-Resolution UAS Imagery, A |
| Deep | learning | Based Multi-Modal Fusion Architectures for Maritime Vessel Detection |
| Deep | learning | Based Multi-View Stereo Matching and 3D Scene Reconstruction from Oblique Aerial Images |
| Deep | learning | Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images |
| Deep | learning | Based on Striation Images for Underwater and Surface Target Classification |
| Deep | learning | Based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images, A |
| Deep | learning | Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data |
| Deep | learning | Based Roof Type Classification Using Very High Resolution Aerial Imagery |
| Deep | learning | Based Sea Ice Classification with Gaofen-3 Fully Polarimetric SAR Data |
| Deep | learning | Based Segmentation of Breast Lesions in DCE-MRI |
| Deep | learning | Based Semi-Supervised Control for Vertical Security of Maglev Vehicle With Guaranteed Bounded Airgap |
| Deep | learning | Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset |
| Deep | learning | Based Single Image Dehazing |
| Deep | learning | Based Single-Photon 3D Imaging with Multiple Returns |
| Deep | learning | Based Skin Lesions Diagnosis |
| Deep | learning | based Spatial-Temporal In-loop filtering for Versatile Video Coding |
| Deep | learning | based stereo cost aggregation on a small dataset |
| Deep | learning | Based Super Resolution Using Significant and General Regions |
| Deep | learning | Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms |
| Deep | learning | Based Thin Cloud Removal Fusing Vegetation Red Edge and Short Wave Infrared Spectral Information for Sentinel-2A Imagery |
| deep | learning | based unified framework to detect, segment and recognize irises using spatially corresponding features, A |
| Deep | learning | Based Wearable Assistive System for Visually Impaired People |
| Deep | learning | Based Workflow for Accelerated Industrial X-Ray Computed Tomography |
| Deep | learning | Calibration of the High-Frequency Airborne Microwave and Millimeter-Wave Radiometer (HAMMR) Instrument |
| Deep | learning | Channel Estimation Based on Edge Intelligence for NR-V2I |
| Deep | learning | Classification by ResNet-18 Based on the Real Spectral Dataset from Multispectral Remote Sensing Images |
| Deep | learning | Classification of Cheatgrass Invasion in the Western United States Using Biophysical and Remote Sensing Data |
| Deep | learning | Classification of Chest X-Ray Images |
| Deep | learning | Classification of Large-Scale Point Clouds: A Case Study on Cuneiform Tablets |
| Deep | learning | Classifier for Advancing Video Monitoring of Atrial Fibrillation |
| Deep | learning | classifiers for hyperspectral imaging: A review |
| Deep | learning | Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems |
| Deep | learning | Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems |
| Deep | learning | COVID-19 Features on CXR Using Limited Training Data Sets |
| Deep | learning | Denoising Based Line Spectral Estimation |
| Deep | learning | Detection of Cardiac Akinesis in Echocardiograms |
| Deep | learning | Diffuse Optical Tomography |
| Deep | learning | Driven Detection of Tsunami Related Internal Gravity Waves: a path towards open-ocean natural hazards detection |
| Deep | learning | Driven Visual Path Prediction From a Single Image |
| Deep | learning | Enabled IRS for 6G Intelligent Transportation Systems: A Comprehensive Study |
| Deep | learning | enabled vehicle trajectory map-matching method with advanced spatial-temporal analysis |
| Deep | learning | Face Attributes in the Wild |
| Deep | learning | Face Representation from Predicting 10,000 Classes |
| Deep | learning | Facial Expression Recognition |
| Deep | learning | Feature Extraction Using Attention-Based DenseNet 121 for Copy Move Forgery Detection |
| Deep | learning | feature representation for image matching under large viewpoint and viewing direction change |
| Deep | learning | features exception for cross-season visual place recognition |
| Deep | learning | features for handwritten keyword spotting |
| Deep | learning | Features for Wireless Capsule Endoscopy Analysis |
| Deep | learning | for 3D Point Clouds: A Survey |
| Deep | learning | for 3d Reconstruction of the Martian Surface Using Monocular Images: A First Glance |
| Deep | learning | for 3D shape classification from multiple depth maps |
| Deep | learning | for 3D vision |
| Deep | learning | for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends |
| Deep | learning | for Anomaly Detection: A Review |
| Deep | learning | for Apple Fruit Quality Inspection using X-Ray Imaging |
| Deep | learning | for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights |
| Deep | learning | for Assistive Computer Vision |
| Deep | learning | for Astrophysics, Understanding the Impact of Attention on Variability Induced by Parameter Initialization |
| Deep | learning | for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach |
| Deep | learning | for Automated Detection and Identification of Migrating American Eel Anguilla rostrata from Imaging Sonar Data |
| Deep | learning | for Automated Tagging of Fashion Images |
| Deep | learning | for Automatic Pneumonia Detection |
| Deep | learning | for automatic sale receipt understanding |
| Deep | learning | for Biometrics: A Survey |
| Deep | learning | for brain decoding |
| Deep | learning | for Cerebellar Ataxia Classification and Functional Score Regression |
| Deep | learning | for Chlorophyll-a Concentration Retrieval: A Case Study for the Pearl River Estuary |
| Deep | learning | for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound |
| Deep | learning | for Confidence Information in Stereo and ToF Data Fusion |
| Deep | learning | for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees |
| Deep | learning | for COVID-19 contamination analysis and prediction using ECG images on Raspberry Pi 4 |
| Deep | learning | for deepfakes creation and detection: A survey |
| Deep | learning | for Detecting and Classifying Ocean Objects: Application of YoloV3 for Iceberg-Ship Discrimination |
| Deep | learning | for Detecting Anomalies |
| Deep | learning | for Detecting Multiple Space-Time Action Tubes in Videos |
| Deep | learning | for Detection of Visible Land Boundaries from UAV Imagery |
| Deep | learning | for Diagnosis of Alzheimer's Disease with FDG-PET Neuroimaging |
| Deep | learning | for Domain-Specific Action Recognition in Tennis |
| Deep | learning | for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities |
| Deep | learning | for emotion driven user experiences |
| Deep | learning | for Emotional Speech Recognition |
| Deep | learning | for Face Anti-Spoofing: A Survey |
| Deep | learning | for face recognition on mobile devices |
| Deep | learning | for Facial Action Unit Detection Under Large Head Poses |
| Deep | learning | for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting |
| Deep | learning | for Feature Extraction of Arabic Handwritten Script |
| Deep | learning | for Feature-Level Data Fusion: Higher Resolution Reconstruction of Historical Landsat Archive |
| Deep | learning | for filtering the ground from ALS point clouds: A dataset, evaluations and issues |
| Deep | learning | for Fingerprint Localization in Indoor and Outdoor Environments |
| Deep | learning | for Free-Hand Sketch: A Survey |
| Deep | learning | for Generic Object Detection: A Survey |
| Deep | learning | for Geometric Computing |
| Deep | learning | for Hand Gesture Recognition on Skeletal Data |
| Deep | learning | for Handling Kernel/model Uncertainty in Image Deconvolution |
| Deep | learning | for HDR Imaging: State-of-the-Art and Future Trends |
| Deep | learning | for Human Activity Recognition in Mobile Computing |
| Deep | learning | for Human Affect Recognition: Insights and New Developments |
| Deep | learning | for Human Embryo Classification at the Cleavage Stage (day 3) |
| Deep | learning | for Human-Centric Activity Understanding |
| Deep | learning | for Hyperspectral Image Classification: An Overview |
| Deep | learning | for Image and Point Cloud Fusion in Autonomous Driving: A Review |
| Deep | learning | for image inpainting: A survey |
| Deep | learning | for Image Super-Resolution: A Survey |
| Deep | learning | for image-based cancer detection and diagnosis: A survey |
| Deep | learning | for Image-to-Text Generation: A Technical Overview |
| Deep | learning | for Image/Video Restoration and Super-Resolution |
| Deep | learning | for Improved Subsurface Imaging: Enhancing GPR Clutter Removal Performance Using Contextual Feature Fusion and Enhanced Spatial Attention |
| Deep | learning | for InSAR Phase Filtering: An Optimized Framework for Phase Unwrapping |
| Deep | learning | for Instance Retrieval: A Survey |
| Deep | learning | for integrated hand detection and pose estimation |
| Deep | learning | for Integrated Speckle Reduction and Super-Resolution in Multi-Temporal SAR |
| Deep | learning | for Intelligent Transportation Systems: A Survey of Emerging Trends |
| Deep | learning | For Inter-Observer Congruency Prediction |
| Deep | learning | for Irregularly and Regularly Missing 3-D Data Reconstruction |
| Deep | learning | for Land Cover Change Detection |
| Deep | learning | for Land Cover Classification Using Only a Few Bands |
| Deep | learning | for Land Use and Land Cover Classification based on Hyperspectral and Multispectral Earth Observation Data: A Review |
| Deep | learning | for Landslide Detection and Segmentation in High-Resolution Optical Images along the Sichuan-Tibet Transportation Corridor |
| Deep | learning | for Large-Scale Traffic-Sign Detection and Recognition |
| Deep | learning | for Light Field Saliency Detection |
| Deep | learning | for magnification independent breast cancer histopathology image classification |
| Deep | learning | for Mapping Tropical Forests with TanDEM-X Bistatic InSAR Data |
| Deep | learning | for Metro Short-Term Origin-Destination Passenger Flow Forecasting Considering Section Capacity Utilization Ratio |
| Deep | learning | for Micro-Expression Recognition: A Survey |
| Deep | learning | for Mineral and Biogenic Oil Slick Classification With Airborne Synthetic Aperture Radar Data |
| Deep | learning | for Mobile Mental Health: Challenges and recent advances |
| Deep | learning | for Monitoring Agricultural Drought in South Asia Using Remote Sensing Data |
| Deep | learning | for multi-modal classification of cloud, shadow and land cover scenes in PlanetScope and Sentinel-2 imagery |
| Deep | learning | for Multi-path Error Removal in ToF Sensors |
| Deep | learning | for Multi-task Plant Phenotyping |
| Deep | learning | for Multilabel Remote Sensing Image Annotation With Dual-Level Semantic Concepts |
| Deep | learning | for Multimedia Forensics |
| Deep | learning | for multiple object tracking: a survey |
| Deep | learning | for Object Detection in Materials-Science Images: A Tutorial |
| Deep | learning | for objective quality assessment of 3D images |
| Deep | learning | for occluded and multi-scale pedestrian detection: A review |
| Deep | learning | for ocean remote sensing: an application of convolutional neural networks for super-resolution on satellite-derived SST data |
| Deep | learning | for Partial Fingerprint Inpainting and Recognition |
| Deep | learning | for Pattern Recognition |
| Deep | learning | for Pattern Recognition |
| Deep | learning | for Person Re-Identification: A Survey and Outlook |
| Deep | learning | for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches |
| Deep | learning | for Polar Bear Detection |
| Deep | learning | for Polarimetric Radar Quantitative Precipitation Estimation during Landfalling Typhoons in South China |
| Deep | learning | for Pollen Sac Detection and Measurement on Honeybee Monitoring Video |
| Deep | learning | for Precipitation Estimation from Satellite and Rain Gauges Measurements |
| Deep | learning | for Predicting Significant Wave Height From Synthetic Aperture Radar |
| Deep | learning | for printed document source identification |
| Deep | learning | for Quality Assessment in Live Video Streaming |
| Deep | learning | for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT |
| Deep | learning | for real-time image steganalysis: a survey |
| Deep | learning | for Regularly Missing Data Reconstruction |
| Deep | learning | for remotely sensed data |
| Deep | learning | for Retrospective Motion Correction in MRI: A Comprehensive Review |
| Deep | learning | for RFI Artifact Recognition in Sentinel-1 Data |
| Deep | learning | for Road Traffic Forecasting: Does it Make a Difference? |
| Deep | learning | for Robotic Vision |
| Deep | learning | for Safe Autonomous Driving: Current Challenges and Future Directions |
| Deep | learning | for SAR Image Despeckling |
| Deep | learning | for SAR Ship Detection: Past, Present and Future |
| Deep | learning | for Security in Digital Twins of Cooperative Intelligent Transportation Systems |
| Deep | learning | for Seeing Through Window With Raindrops |
| Deep | learning | for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography |
| Deep | learning | for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows |
| Deep | learning | for Semantic Segmentation of 3d Point Cloud |
| Deep | learning | for sensor-based activity recognition: A survey |
| Deep | learning | for Sensor-Based Human Activity Recognition: Overview, Challenges, and Opportunities |
| Deep | learning | for Shot Classification in Gynecologic Surgery Videos |
| Deep | learning | for Simultaneous Seismic Image Super-Resolution and Denoising |
| Deep | learning | for Single Image Super-Resolution: A Brief Review |
| Deep | learning | for Soil and Crop Segmentation from Remotely Sensed Data |
| Deep | learning | for source camera identification on mobile devices |
| Deep | learning | for Spatio-Temporal Modeling of Dynamic Spontaneous Emotions |
| Deep | learning | for Surface Material Classification Using Haptic and Visual Information |
| Deep | learning | for Toponym Resolution: Geocoding Based on Pairs of Toponyms |
| Deep | learning | for Ultrasound Beamforming in Flexible Array Transducer |
| Deep | learning | for Ultrasound Localization Microscopy |
| Deep | learning | for Understanding Faces: Machines May Be Just as Good, or Better, than Humans |
| Deep | learning | for Vanishing Point Detection Using an Inverse Gnomonic Projection |
| Deep | learning | for Vegetation Health Forecasting: A Case Study in Kenya |
| Deep | learning | for Vehicle Detection in Aerial Images |
| Deep | learning | for Visual Content Analysis |
| Deep | learning | for Visual SLAM |
| Deep | learning | for Visual Tracking: A Comprehensive Survey |
| Deep | learning | for Visual Understanding |
| Deep | learning | for Visual Understanding: Part 2 |
| Deep | learning | Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data |
| Deep | learning | Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information |
| Deep | learning | Frame-Work for Recognizing Developmental Disorders, A |
| Deep | learning | Framework for 3D Surface Profiling of the Objects Using Digital Holographic Interferometry, A |
| Deep | learning | Framework for Diffeomorphic Mapping Problems via Quasi-conformal Geometry Applied to Imaging, A |
| deep | learning | framework for glaucoma detection based on robust optic disc segmentation and transfer learning, A |
| deep | learning | framework for glaucoma detection based on robust optic disc segmentation and transfer learning, A |
| deep | learning | framework for matching of SAR and optical imagery, A |
| Deep | learning | Framework for Multi-class Breast Cancer Histology Image Classification |
| deep | learning | framework for remote sensing image registration, A |
| Deep | learning | Framework for Road Marking Extraction, Classification and Completion from Mobile Laser Scanning Point Clouds, A |
| Deep | learning | Framework for Roads Network Damage Assessment Using Post-earthquake Lidar Data, A |
| Deep | learning | Framework for Robust and Real-Time Taillight Detection Under Various Road Conditions, A |
| Deep | learning | Framework for Spatiotemporal Ultrasound Localization Microscopy, A |
| Deep | learning | Framework of Autonomous Pilot Agent for Air Traffic Controller Training, A |
| Deep | learning | Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia |
| Deep | learning | frameworks for diabetic retinopathy detection with smartphone-based retinal imaging systems |
| Deep | learning | From Imaging Genetics for Schizophrenia Classification |
| Deep | learning | From Multiple Crowds: A Case Study of Humanitarian Mapping |
| Deep | learning | from Noisy Image Labels with Quality Embedding |
| Deep | learning | Generic Features for Cross-Media Retrieval |
| Deep | learning | Geometry Compression Artifacts Removal for Video-Based Point Cloud Compression |
| Deep | learning | Global Glomerulosclerosis in Transplant Kidney Frozen Sections |
| Deep | learning | Gravity Inversion Method Based on a Self-Constrained Network and Its Application, A |
| Deep | learning | Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation |
| Deep | learning | Human Mind for Automated Visual Classification |
| Deep | learning | Hunts for Signals Among the Noise |
| Deep | learning | Identity-Preserving Face Space |
| Deep | learning | Image Age Approximation - What is More Relevant: Image Content or Age Information? |
| Deep | learning | in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq |
| Deep | learning | in Forestry Using UAV-Acquired RGB Data: A Practical Review |
| Deep | learning | in Hyperspectral Image Reconstruction from Single RGB images: A Case Study on Tomato Quality Parameters |
| Deep | learning | in Image Classification: An Overview |
| Deep | learning | in Lane Marking Detection: A Survey |
| Deep | learning | in Latent Space for Video Prediction and Compression |
| Deep | learning | in medical image registration: a survey |
| Deep | learning | in Neuroimaging: Promises and challenges |
| Deep | learning | in remote sensing applications: A meta-analysis and review |
| Deep | learning | in Sentiment Analysis: Recent Architectures |
| Deep | learning | in statistical downscaling for deriving high spatial resolution gridded meteorological data: A systematic review |
| Deep | learning | in the Domain of Multi-Document Text Summarization |
| Deep | learning | in the EEG Diagnosis of Alzheimer's Disease |
| Deep | learning | in the grading of diabetic retinopathy: A review |
| Deep | learning | in the Identification of Psoriatic Skin Lesions |
| Deep | learning | in the ultrasound evaluation of neonatal respiratory status |
| Deep | learning | in Ultrasound Image Analysis |
| Deep | learning | in Ultrasound Imaging |
| Deep | learning | Inversion of Electrical Resistivity Data |
| Deep | learning | Inversion of Electrical Resistivity Data by One-Sided Mapping |
| Deep | learning | Investigation of Mercury's Explosive Volcanism |
| Deep | learning | Logo Detection with Data Expansion by Synthesising Context |
| Deep | learning | Loss Function Based on the Perceptual Evaluation of the Speech Quality, A |
| Deep | learning | Markov Random Field for Semantic Segmentation |
| Deep | learning | Meets Particle Swarm Optimization For Aortic Valve Calcium Scoring From Cardiac Computed Tomography |
| Deep | learning | Meets Radiomics For End-To-End Brain Tumor MRI Analysis |
| Deep | learning | Method for Change Detection in Synthetic Aperture Radar Images, A |
| Deep | learning | Method for Frame Selection in Videos for Structure from Motion Pipelines, A |
| Deep | learning | Method for Grasping Novel Objects Using Dexterous Hands |
| deep | learning | method for image super-resolution based on geometric similarity, A |
| Deep | learning | Method for Mapping Glacial Lakes from the Combined Use of Synthetic-Aperture Radar and Optical Satellite Images, A |
| Deep | learning | Method for Motion Artifact Correction in Intravascular Photoacoustic Image Sequence, A |
| Deep | learning | Method for Pavement Crack Identification Based on Limited Field Images, A |
| deep | learning | method for video-based action recognition, A |
| Deep | learning | Method of Landslide Inventory Map with Imbalanced Samples in Optical Remote Sensing |
| Deep | learning | Method to Accelerate the Disaster Response Process, A |
| Deep | learning | Methodology for Early Detection and Outbreak Prediction of Invasive Species Growth |
| Deep | learning | Methods for Human Behavior Recognition |
| Deep | learning | Methods for Semantic Segmentation in Remote Sensing with Small Data: A Survey |
| Deep | learning | methods for single camera based clinical in-bed movement action recognition |
| Deep | learning | Methods for Virus Identification from Digital Images |
| Deep | learning | methods in transportation domain: a review |
| Deep | learning | model based on cascaded autoencoders and one-class learning for detection and localization of anomalies from surveillance videos |
| Deep | learning | model based on cascaded autoencoders and one-class learning for detection and localization of anomalies from surveillance videos |
| Deep | learning | Model for Automatic Plastic Mapping Using Unmanned Aerial Vehicle (UAV) Data, A |
| Deep | learning | Model for Change Detection on Satellite Images, A |
| deep | learning | model for mass screening of COVID-19, A |
| Deep | learning | Model for Skin Lesion Segmentation: Fully Convolutional Network |
| Deep | learning | Model for Transportation Mode Detection Based on Smartphone Sensing Data, A |
| deep | learning | model integrating convolution neural network and multiple kernel K means clustering for segmenting brain tumor in magnetic resonance images, A |
| Deep | learning | Model to Extract Ship Size From Sentinel-1 SAR Images, A |
| Deep | learning | Model Transfer in Forest Mapping Using Multi-Source Satellite SAR and Optical Images |
| Deep | learning | Model Using Satellite Ocean Color and Hydrodynamic Model to Estimate Chlorophyll-a Concentration, A |
| Deep | learning | Models for Passive Sonar Signal Classification of Military Data |
| Deep | learning | Models for Segmentation of Mobile-acquired Dermatological Images |
| Deep | learning | Monitoring of Woody Vegetation Density In A South African Savannah Region |
| Deep | learning | Multimodal Method for Precipitation Estimation, A |
| deep | learning | network based end-to-end image composition, A |
| Deep | learning | Network for Blind Image Quality Assessment |
| deep | learning | network for vision-based vacant parking space detection system, A |
| Deep | learning | Network Intensification for Preventing Noisy-Labeled Samples for Remote Sensing Classification |
| Deep | learning | network selection and optimized information fusion for enhanced COVID-19 detection |
| Deep | learning | Network to Retrieve Ocean Hydrographic Profiles from Combined Satellite and In Situ Measurements, A |
| Deep | learning | Networks for Off-Line Handwritten Signature Recognition |
| Deep | learning | networks for selection of measurement pixels in multi-temporal SAR interferometric processing |
| Deep | learning | Object Detection Methods for Ecological Camera Trap Data |
| Deep | learning | of Appearance Models for Online Object Tracking |
| Deep | learning | of binary hash codes for fast image retrieval |
| Deep | learning | of Convolutional Auto-Encoder for Image Matching and 3D Object Reconstruction in the Infrared Range |
| Deep | learning | of Graph Matching |
| Deep | learning | of High-Resolution Aerial Imagery for Coastal Marsh Change Detection: A Comparative Study |
| Deep | learning | of High-Resolution Unmanned Aerial Vehicle Imagery for Classifying Halophyte Species: A Comparative Study for Small Patches and Mixed Vegetation |
| Deep | learning | of Human Visual Sensitivity in Image Quality Assessment Framework |
| Deep | learning | of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation |
| Deep | learning | of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation |
| Deep | learning | of longitudinal mammogram examinations for breast cancer risk prediction |
| Deep | learning | of Mouth Shapes for Sign Language |
| Deep | learning | of Neuromuscular Control for Biomechanical Human Animation |
| Deep | learning | of Partial Graph Matching via Differentiable Top-K |
| Deep | learning | of Radiometrical and Geometrical SAR Distorsions for Image Modality translations |
| Deep | learning | of Scene-Specific Classifier for Pedestrian Detection |
| Deep | learning | of Sea Surface Temperature Patterns to Identify Ocean Extremes |
| Deep | learning | of Static and Dynamic Brain Functional Networks for Early MCI Detection |
| Deep | learning | of Visual and Textual Data for Region Detection Applied to Item Coding |
| Deep | learning | of Warping Functions for Shape Analysis |
| Deep | learning | on Active Sonar Data Using Bayesian Optimization for Hyperparameter Tuning |
| Deep | learning | on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet |
| Deep | learning | on compressed sensing measurements in pneumonia detection |
| Deep | learning | on Lie Groups for Skeleton-Based Action Recognition |
| Deep | learning | on Monocular Object Pose Detection and Tracking: A Comprehensive Overview |
| Deep | learning | on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction |
| Deep | learning | on Small Datasets without Pre-Training using Cosine Loss |
| Deep | learning | on Sparse Manifolds for Faster Object Segmentation |
| Deep | learning | on Spatial Rich Model for Steganalysis |
| Deep | learning | on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco |
| Deep | learning | on Traffic Prediction: Methods, Analysis, and Future Directions |
| Deep | learning | on Underwater Marine Object Detection: A Survey |
| Deep | learning | on Visual Data |
| Deep | learning | Paradigm for Detection of Harmful Algal Blooms, A |
| Deep | learning | Parametrization for B-Spline Curve Approximation |
| Deep | learning | Performance in the Presence of Significant Occlusions: An Intelligent Household Refrigerator Case |
| Deep | learning | Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow |
| Deep | learning | prototype domains for person re-identification |
| Deep | learning | Reconstruction for Single Pixel Imaging with Generative Adversarial Networks |
| Deep | learning | Reconstruction Framework for Differential Phase-Contrast Computed Tomography With Incomplete Data, A |
| Deep | learning | Segmentation and 3D Reconstruction of Road Markings Using Multiview Aerial Imagery |
| Deep | learning | Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net |
| Deep | learning | Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction |
| Deep | learning | Segmentation of Satellite Imagery Identifies Aquatic Vegetation Associated with Snail Intermediate Hosts of Schistosomiasis in Senegal, Africa |
| Deep | learning | Seismic Random Noise Attenuation via Improved Residual Convolutional Neural Network |
| Deep | learning | Semantic Segmentation for Land Use and Land Cover Types Using Landsat 8 Imagery |
| Deep | learning | Semantic Segmentation-Based Approach for Field-Level Sorghum Panicle Counting, A |
| deep | learning | semantic template matching framework for remote sensing image registration, A |
| Deep | learning | serves traffic safety analysis: A forward-looking review |
| Deep | learning | Shape Priors for Object Segmentation |
| Deep | learning | solution for machine vision problem of vehicle body damage classification |
| Deep | learning | Spatial-spectral Processing of Hyperspectral Images for Pigment Mapping of Cultural Heritage Artifacts |
| Deep | learning | Speeds MRI Scans |
| Deep | learning | strategies for foetal electrocardiogram signal synthesis |
| Deep | learning | Streaming Methodology for Trajectory Classification, A |
| Deep | learning | Strong Parts for Pedestrian Detection |
| Deep | learning | super-resolution electron microscopy based on deep residual attention network |
| Deep | learning | Techniques Applied to the Cattle Brand Recognition |
| Deep | learning | Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? |
| Deep | learning | Techniques for COVID-19 Diagnosis and Prognosis Based on Radiological Imaging |
| Deep | learning | the City: Quantifying Urban Perception at a Global Scale |
| Deep | learning | the dynamic appearance and shape of facial action units |
| Deep | learning | Time Series Approach for Leaf and Wood Classification from Terrestrial LiDAR Point Clouds, A |
| Deep | learning | to Near-Surface Humidity Retrieval from Multi-Sensor Remote Sensing Data over the China Seas |
| Deep | learning | Tool Kit for Medical Imaging |
| Deep | learning | Trained Clear-Sky Mask Algorithm for VIIRS Radiometric Bias Assessment, A |
| Deep | learning | Triggers a New Era in Industrial Robotics |
| Deep | learning | Triplet Ordinal Relation Preserving Binary Code for Remote Sensing Image Retrieval Task |
| Deep | learning | Under Privileged Information Using Heteroscedastic Dropout |
| Deep | learning | Using Bayesian Optimization for Facial Age Estimation |
| Deep | learning | Versus Classic Methods for Multi-taxon Diatom Segmentation |
| Deep | learning | Versus Traditional Solutions for Group Trajectory Outliers |
| Deep | learning | Video Classification of Lung Ultrasound Features Associated with Pneumonia |
| Deep | learning | vs. Traditional Algorithms for Saliency Prediction of Distorted Images |
| Deep | learning | Whole Body Point Cloud Scans from a Single Depth Map |
| Deep | learning | with Adaptive Attention for Seismic Velocity Inversion |
| Deep | learning | with geodesic moments for 3D shape classification |
| Deep | learning | with Hierarchical Convolutional Factor Analysis |
| Deep | learning | with Low Precision by Half-Wave Gaussian Quantization |
| Deep | learning | with Noisy Labels, Robust Deep Learning |
| Deep | learning | with Noisy Labels, Robust Deep Learning |
| Deep | learning | with Open Data for Desert Road Mapping |
| Deep | learning | with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images |
| Deep | learning | with WASI Simulation Data for Estimating Chlorophyll a Concentration of Inland Water Bodies |
| Deep | learning | , Deep Nets, DNN |
| Deep | learning | , Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images |
| Deep | learning | -Assisted Smart Process Planning, Robotic Wireless Sensor Networks, and Geospatial Big Data Management Algorithms in the Internet of Manufacturing Things |
| Deep | learning | -Based 500 m Spatio-Temporally Continuous Air Temperature Generation by Fusing Multi-Source Data |
| Deep | learning | -Based Action Detection in Untrimmed Videos: A Survey |
| Deep | learning | -based Analysis of The Relationships Between Climate Change and Crop Yield in China |
| Deep | learning | -Based Anomaly Detection for Connected Autonomous Vehicles Using Spatiotemporal Information |
| Deep | learning | -based apple detection using a suppression mask R-CNN |
| Deep | learning | -Based Apple Detection with Attention Module and Improved Loss Function in YOLO |
| Deep | learning | -Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images, A |
| Deep | learning | -based Approach for Automatic Leather Classification in Industry 4.0, A |
| deep | learning | -based approach to increase efficiency in the acquisition of ultrasonic non-destructive testing datasets, A |
| Deep | learning | -based approach to latent overlapped fingerprints mask segmentation |
| Deep | learning | -Based Approach to Progressive Vehicle Re-identification for Urban Surveillance, A |
| Deep | learning | -based Assessment of Facial Periodic Affect in Work-like Settings |
| Deep | learning | -based automated detection of human knee joint's synovial fluid from magnetic resonance images with transfer learning |
| Deep | learning | -based automated detection of human knee joint's synovial fluid from magnetic resonance images with transfer learning |
| Deep | learning | -based automated mitosis detection in histopathology images for breast cancer grading |
| Deep | learning | -Based Automatic Clutter/Interference Detection for HFSWR |
| Deep | learning | -Based Automatic Extraction of Cyanobacterial Blooms from Sentinel-2 MSI Satellite Data |
| Deep | learning | -based blind image super-resolution with iterative kernel reconstruction and noise estimation |
| Deep | learning | -Based Blockchain Mechanism for Secure Internet of Drones Environment, A |
| Deep | learning | -Based CAD System For Renal Allograft Assessment: Diffusion, Bold, And Clinical Biomarkers, A |
| Deep | learning | -Based Change Detection in Remote Sensing Images: A Review |
| Deep | learning | -Based Chroma Prediction for Intra Versatile Video Coding |
| Deep | learning | -Based Classification and Reconstruction of Residential Scenes From Large-Scale Point Clouds |
| Deep | learning | -Based Classification of Illumination Maps for Exposing Face Splicing Forgeries in Images |
| Deep | learning | -Based Classification of Malignant and Benign Cells in Dermatoscopic Images via Transfer Learning Approach |
| Deep | learning | -Based Classification of Malignant and Benign Cells in Dermatoscopic Images via Transfer Learning Approach |
| Deep | learning | -Based Compressed Domain Point Cloud Classification |
| Deep | learning | -Based Concept Detection in vitrivr |
| Deep | learning | -based COVID-19 diagnosis using CT scans with laboratory and physiological parameters |
| Deep | learning | -Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation |
| Deep | learning | -based detection from the perspective of small or tiny objects: A survey |
| Deep | learning | -Based Detection of Urban Forest Cover Change along with Overall Urban Changes Using Very-High-Resolution Satellite Images |
| Deep | learning | -Based Development of Personalized Human Head Model With Non-Uniform Conductivity for Brain Stimulation |
| Deep | learning | -based Distortion Sensitivity Prediction for Full-Reference Image Quality Assessment |
| Deep | learning | -Based Drivers Emotion Classification System in Time Series Data for Remote Applications |
| Deep | learning | -Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging |
| Deep | learning | -based embedded license plate localisation system |
| Deep | learning | -Based Emulation of Radiative Transfer Models for Top-of-Atmosphere BRDF Modelling Using Sentinel-3 OLCI |
| Deep | learning | -Based Enhanced ISAR-RID Imaging Method |
| Deep | learning | -Based Estimation of Whole-Body Kinematics from Multi-View Images |
| Deep | learning | -based Face Recognition and the Robustness to Perspective Distortion |
| Deep | learning | -Based Face Super-Resolution: A Survey |
| Deep | learning | -based Fast Fake News Detection Model for Cyber-Physical Social Services, A |
| Deep | learning | -Based Fast Hand Gesture Recognition Using Representative Frames |
| Deep | learning | -Based Flood Area Extraction for Fully Automated and Persistent Flood Monitoring Using Cloud Computing |
| Deep | learning | -Based Forgery Attack on Document Images |
| Deep | learning | -Based Framework for Automated Extraction of Building Footprint Polygons from Very High-Resolution Aerial Imagery, A |
| deep | learning | -based framework for fast generation of photorealistic hair animations, A |
| Deep | learning | -Based Framework for Soil Moisture Content Retrieval of Bare Soil from Satellite Data |
| Deep | learning | -Based Generalized System for Detecting Pine Wilt Disease Using RGB-Based UAV Images, A |
| Deep | learning | -Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling |
| deep | learning | -based global and segmentation-based semantic feature fusion approach for indoor scene classification, A |
| Deep | learning | -based grasp-detection method for a five-fingered industrial robot hand |
| Deep | learning | -based helmet wear analysis of a motorcycle rider for intelligent surveillance system |
| Deep | learning | -Based Hexrep Neural Network for Convergence Free with Operator's Efficacy in Hexagonal Image Processing |
| Deep | learning | -Based Human Pose Estimation |
| Deep | learning | -Based Human Pose Estimation |
| Deep | learning | -Based Human Pose Estimation: A Survey |
| Deep | learning | -based hybrid model for short-term subway passenger flow prediction using automatic fare collection data |
| Deep | learning | -based hybrid model for the behaviour prediction of surrounding vehicles over long-time periods |
| Deep | learning | -Based Hyperspectral Object Classification Approach via Imbalanced Training Samples Handling, A |
| Deep | learning | -Based Identification of Collapsed, Non-Collapsed and Blue Tarp-Covered Buildings from Post-Disaster Aerial Images |
| deep | learning | -based illumination transform for devignetting photographs of dermatological lesions, A |
| Deep | learning | -based image enhancement for robust remote photoplethysmography in various illumination scenarios |
| Deep | learning | -Based Image Registration in Dynamic Myocardial Perfusion CT Imaging |
| Deep | learning | -Based Image Retrieval With Unsupervised Double Bit Hashing |
| Deep | learning | -Based Imaging using Single-Lens and Multi-Aperture Diffractive Optical Systems |
| Deep | learning | -Based Improved Object Recognition in Warehouses |
| Deep | learning | -Based Improved WCM Technique for Soil Moisture Retrieval with Satellite Images |
| Deep | learning | -Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications |
| Deep | learning | -based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery |
| Deep | learning | -Based Instance Segmentation Method of Litchi Canopy from UAV-Acquired Images |
| Deep | learning | -based intelligent surveillance model for detection of anomalous activities from videos |
| Deep | learning | -based intelligent system for fingerprint identification using decision-based median filter |
| Deep | learning | -Based Landslide Recognition Incorporating Deformation Characteristics |
| Deep | learning | -Based Local Feature Extraction Method for Improved Image Matching and Surface Reconstruction from Yutu-2 PCAM Images on the Moon, A |
| Deep | learning | -Based Man-Made Object Detection from Hyperspectral Data |
| Deep | learning | -Based Masonry Wall Image Analysis |
| Deep | learning | -Based Medical Image Fusion Using Integrated Joint Slope Analysis with Probabilistic Parametric Steered Image Filter |
| Deep | learning | -Based Melanoma Detection with Optimized Features via Hybrid Algorithm |
| Deep | learning | -Based Method for Detection of External Air Conditioner Units from Street View Images |
| Deep | learning | -Based Method for Extracting Standing Wood Feature Parameters from Terrestrial Laser Scanning Point Clouds of Artificially Planted Forest, A |
| deep | learning | -based method for pixel-level crack detection on concrete bridges, A |
| Deep | learning | -Based Method for Predicting Volumes of Nasopharyngeal Carcinoma for Adaptive Radiation Therapy Treatment, A |
| Deep | learning | -Based Method for Quantifying and Mapping the Grain Size on Pebble Beaches, A |
| Deep | learning | -Based Method for the Semi-Automatic Identification of Built-Up Areas within Risk Zones Using Aerial Imagery and Multi-Source GIS Data: An Application for Landslide Risk, A |
| Deep | learning | -based methods for detecting defects in cast iron parts and surfaces |
| Deep | learning | -Based Mobile Crowdsensing Scheme by Predicting Vehicle Mobility, A |
| Deep | learning | -Based Model That Reduces Speed of Sound Aberrations for Improved In Vivo Photoacoustic Imaging, A |
| Deep | learning | -Based Multi-Focus Image Fusion: A Survey and a Comparative Study |
| Deep | learning | -Based Named Entity Recognition and Knowledge Graph Construction for Geological Hazards |
| Deep | learning | -Based Noise-Resilient Keyword Spotting Engine for Embedded Platforms, A |
| Deep | learning | -Based Nonlinear Transform for HEVC Intra Coding |
| Deep | learning | -based object detection in low-altitude UAV datasets: A survey |
| Deep | learning | -Based Object Detection System for Identifying Weeds Using UAS Imagery |
| Deep | learning | -Based Object Detection Techniques for Remote Sensing Images: A Survey |
| Deep | learning | -Based Obstacle Detection and Depth Estimation |
| Deep | learning | -based panoptic segmentation: Recent advances and perspectives |
| Deep | learning | -Based Perceptual Video Quality Enhancement for 3D Synthesized View |
| Deep | learning | -based person re-identification methods: A survey and outlook of recent works |
| Deep | learning | -Based Phenological Event Modeling for Classification of Crops |
| Deep | learning | -Based Photoacoustic Imaging of Vascular Network Through Thick Porous Media |
| Deep | learning | -Based Picture-Wise Just Noticeable Distortion Prediction Model for Image Compression |
| Deep | learning | -Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images, A |
| Deep | learning | -Based Point Upsampling for Edge Enhancement of 3D-Scanned Data and Its Application to Transparent Visualization |
| Deep | learning | -based Pupil Center Detection for Fast and Accurate Eye Tracking System |
| Deep | learning | -Based Radar Composite Reflectivity Factor Estimations from Fengyun-4A Geostationary Satellite Observations |
| Deep | learning | -Based Real-Time Detection of Surface Landmines Using Optical Imaging |
| Deep | learning | -based real-time fine-grained pedestrian recognition using stream processing |
| Deep | learning | -based real-time VPN encrypted traffic identification methods |
| Deep | learning | -based Reconstruction of Spatiotemporally Fused Satellite Images for Smart Agriculture Applications In A Heterogeneous Agricultural Region |
| Deep | learning | -Based Regression and Classification for Automatic Landmark Localization in Medical Images |
| Deep | learning | -based remote and social sensing data fusion for urban region function recognition |
| Deep | learning | -Based Robust Change Detection Approach for Very High Resolution Remotely Sensed Images with Multiple Features, A |
| Deep | learning | -based robust hybrid approaches for brain tumor classification in magnetic resonance images |
| Deep | learning | -based Semantic Segmentation for Touchless Fingerprint Recognition |
| Deep | learning | -based semantic segmentation of interphase cells and debris from metaphase images |
| Deep | learning | -Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis |
| Deep | learning | -based single image face depth data enhancement |
| Deep | learning | -Based Single Image Super-Resolution: An Investigation for Dense Scene Reconstruction with UAS Photogrammetry |
| Deep | learning | -Based Sinogram Completion for Low-Dose CT |
| Deep | learning | -Based Spatiotemporal Fusion Architecture of Landsat 8 and Sentinel-2 Data for 10 m Series Imagery |
| Deep | learning | -Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation |
| Deep | learning | -Based Super-Resolution Reconstruction and Algorithm Acceleration of Mars Hyperspectral CRISM Data |
| Deep | learning | -based survival prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging |
| Deep | learning | -Based System for Product Recognition in Intelligent Retail Environment, A |
| Deep | learning | -Based Target Point Localization for UAV Inspection of Point Cloud Transmission Towers |
| Deep | learning | -based Techniques for Plant Diseases Recognition in Real-field Scenarios |
| Deep | learning | -Based Technology in Responses to the Joint Call for Proposals on Video Compression With Capability Beyond HEVC |
| Deep | learning | -Based Thermal Image Analysis for Pavement Defect Detection and Classification Considering Complex Pavement Conditions |
| Deep | learning | -Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System |
| Deep | learning | -based Type Identification of Volumetric MRI Sequences |
| Deep | learning | -based Unified Solution for Character Recognition, A |
| Deep | learning | -Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review |
| Deep | learning | -Based Vehicle Classification Using an Ensemble of Local Expert and Global Networks |
| Deep | learning | -based vehicle detection with synthetic image data |
| Deep | learning | -based vehicle occupancy detection in an open parking lot using thermal camera |
| Deep | learning | -based vehicle tracking and traffic event detection |
| Deep | learning | -Based Video Coding: A Review and a Case Study |
| Deep | learning | -based Video Retrieval Using Object Relationships and Associated Audio Classes |
| Deep | learning | -Based Water Quality Retrieval in an Impounded Lake Using Landsat 8 Imagery: An Application in Dongping Lake |
| deep | learning | -based x-ray imaging diagnosis system for classification of tuberculosis, COVID-19, and pneumonia traits using evolutionary algorithm, A |
| Deep | learning | -Driven Depth from Defocus via Active Multispectral Quasi-Random Projections with Complex Subpatterns |
| Deep | learning | -driven diagnosis: A multi-task approach for segmenting stroke and Bell's palsy |
| Deep | learning | -Enabled Road Segmentation and Edge-Centerline Extraction from High-Resolution Remote Sensing Images |
| Deep | learning | -Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera |
| Deep | learning | -Generated Nighttime Reflectance and Daytime Radiance of the Midwave Infrared Band of a Geostationary Satellite |
| Deep | learning | -Powered Bessel-Beam Multiparametric Photoacoustic Microscopy |
| deep | learning | -shape driven level set synergism for pulmonary nodule segmentation, A |
| Deep | learning | : Based Dictionary Learning and Tomographic Image Reconstruction |
| Deep | learning | : Based Dictionary Learning and Tomographic Image Reconstruction |
| Deep Lesion Graphs in the Wild: Relationship | learning | and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database |
| Deep Local Feature Descriptor | learning | With Dual Hard Batch Construction |
| Deep Local Shapes: | learning | Local SDF Priors for Detailed 3D Reconstruction |
| Deep Localized Metric | learning | |
| Deep Long-Tailed | learning | : A Survey |
| Deep low-rank feature | learning | and encoding for cross-age face recognition |
| Deep Machine | learning | Based Possible Atmospheric and Ionospheric Precursors of the 2021 Mw 7.1 Japan Earthquake |
| Deep Marching Cubes: | learning | Explicit Surface Representations |
| Deep Margin-Sensitive Representation | learning | for Cross-Domain Facial Expression Recognition |
| Deep Matrix Factorization Method for | learning | Attribute Representations, A |
| Deep Meta | learning | for Real-Time Target-Aware Visual Tracking |
| Deep Meta Metric | learning | |
| Deep Metric | learning | |
| Deep Metric | learning | and Image Classification with Nearest Neighbour Gaussian Kernels |
| Deep Metric | learning | Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization |
| Deep Metric | learning | Beyond Binary Supervision |
| Deep Metric | learning | for Cross-Domain Fashion Instance Retrieval |
| Deep Metric | learning | for Crowdedness Regression |
| Deep metric | learning | for few-shot image classification: A Review of recent developments |
| Deep Metric | learning | for Multi-Label and Multi-Object Image Retrieval |
| Deep Metric | learning | for Open World Semantic Segmentation |
| Deep Metric | learning | for Person Re-identification |
| Deep Metric | learning | for Visual Tracking |
| Deep Metric | learning | for Visual Understanding: An Overview of Recent Advances |
| Deep Metric | learning | on the SPD Manifold for Image Set Classification |
| Deep Metric | learning | to Rank |
| Deep Metric | learning | via Adaptive Learnable Assessment |
| Deep Metric | learning | via Facility Location |
| Deep Metric | learning | via Lifted Structured Feature Embedding |
| Deep metric | learning | via subtype fuzzy clustering |
| Deep Metric | learning | With Adaptively Composite Dynamic Constraints |
| Deep Metric | learning | With Alternating Projections Onto Feasible Sets |
| Deep Metric | learning | with Angular Loss |
| Deep Metric | learning | with BIER: Boosting Independent Embeddings Robustly |
| Deep Metric | learning | With Density Adaptivity |
| Deep metric | learning | with dynamic margin hard sampling loss for face verification |
| Deep Metric | learning | with Hierarchical Triplet Loss |
| Deep Metric | learning | With Manifold Class Variability Analysis |
| Deep Metric | learning | with Online Hard Mining for Hyperspectral Classification |
| Deep Metric | learning | with Triplet-Margin-Center Loss for Sketch Face Recognition |
| Deep Metric | learning | With Tuplet Margin Loss |
| Deep Metric | learning | -Based Feature Embedding for Hyperspectral Image Classification |
| Deep Metric | learning | -Based Semi-Supervised Regression with Alternate Learning |
| Deep Metric | learning | -Based Semi-Supervised Regression with Alternate Learning |
| Deep Micro-Dictionary | learning | and Coding Network |
| Deep MinCut: | learning | Node Embeddings by Detecting Communities |
| Deep Modality Invariant Adversarial Network for Shared Representation | learning | |
| Deep motion templates and extreme | learning | machine for sign language recognition |
| Deep Multi-Agent Reinforcement | learning | for Highway On-Ramp Merging in Mixed Traffic |
| Deep multi-feature | learning | architecture for water body segmentation from satellite images |
| Deep Multi-Modal Explanation Model for Zero-Shot | learning | , A |
| Deep Multi-Scale Feature | learning | for Defocus Blur Estimation |
| Deep Multi-Scale Mesh Feature | learning | for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners |
| Deep Multi-Spectral Registration Using Invariant Descriptor | learning | |
| Deep Multi-Stage | learning | for HDR With Large Object Motions |
| Deep Multi-Task | learning | Based Fast Intra-Mode Decision for Versatile Video Coding |
| Deep multi-task | learning | for a geographically-regularized semantic segmentation of aerial images |
| Deep Multi-task | learning | for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing |
| Deep multi-task | learning | for gait-based biometrics |
| Deep Multi-Task | learning | for Joint Localization, Perception, and Prediction |
| Deep Multi-Task | learning | for Joint Prediction of Heterogeneous Face Attributes |
| Deep Multi-Task | learning | in Computer Vision |
| Deep Multi-task | learning | to Recognise Subtle Facial Expressions of Mental States |
| Deep multi-task | learning | with relational attention for business success prediction |
| Deep Multi-View Feature | learning | for Person Re-Identification |
| Deep Multi-View | learning | Using Neuron-Wise Correlation-Maximizing Regularizers |
| Deep Multi-View Subspace Clustering With Unified and Discriminative | learning | |
| Deep Multimetric | learning | for Shape-Based 3D Model Retrieval |
| Deep Multimodal Clustering for Unsupervised Audiovisual | learning | |
| Deep Multimodal Distance Metric | learning | Using Click Constraints for Image Ranking |
| Deep Multimodal | learning | Approach to Perceive Basic Needs of Humans From Instagram Profile, A |
| Deep Multimodal | learning | for Affective Analysis and Retrieval |
| Deep multimodal | learning | for cross-modal retrieval: One model for all tasks |
| Deep Multimodal | learning | : A Survey on Recent Advances and Trends |
| Deep Multimodal Representation | learning | from Temporal Data |
| Deep Multimodality | learning | for UAV Video Aesthetic Quality Assessment |
| Deep Multiple Instance Convolutional Neural Networks for | learning | Robust Scene Representations |
| Deep multiple instance | learning | for automatic detection of diabetic retinopathy in retinal images |
| Deep multiple instance | learning | for image classification and auto-annotation |
| Deep Multiple Instance | learning | for Zero-Shot Image Tagging |
| Deep Multiple Instance | learning | with Spatial Attention for ROP Case Classification, Instance Selection and Abnormality Localization |
| Deep Multiple Instance | learning | -Based Spatial-Spectral Classification for PAN and MS Imagery |
| Deep multisensor | learning | for missing-modality all-weather mapping |
| Deep Multitask | learning | for Railway Track Inspection |
| Deep Multitask | learning | Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection, A |
| Deep multitask | learning | with label interdependency distillation for multicriteria street-level image classification |
| Deep Multitask | learning | with Progressive Parameter Sharing |
| Deep Multitask Metric | learning | for Offline Signature Verification |
| Deep Multitask Semisupervised | learning | Approach for Chlorophyll-a Retrieval from Remote Sensing Images, A |
| Deep Multiview | learning | for Hyperspectral Image Classification |
| Deep Multiview Union | learning | Network for Multisource Image Classification |
| Deep Mutual | learning | |
| Deep mutual | learning | for visual object tracking |
| Deep Near Infrared Colorization with Semantic Segmentation and Transfer | learning | |
| Deep network for image super-resolution with a dictionary | learning | layer |
| Deep Networks, Deep | learning | for Human Action Recognition |
| Deep Neural Network-Driven Feature | learning | Method for Multi-view Facial Expression Recognition, A |
| Deep Neural Networks with Transfer | learning | for Forest Variable Estimation Using Sentinel-2 Imagery in Boreal Forest |
| Deep Neural Networks, Deep | learning | for Super Resolution |
| Deep neural networks-based relevant latent representation | learning | for hyperspectral image classification |
| Deep Non-Negative Matrix Factorization Architecture Based on Underlying Basis Images | learning | |
| Deep Nonlinear Metric | learning | for 3-D Shape Retrieval |
| Deep nonsmooth nonnegative matrix factorization network with semi-supervised | learning | for SAR image change detection |
| Deep Online Video Stabilization With Multi-Grid Warping Transformation | learning | |
| Deep Open-Set Domain Adaptation for Cross-Scene Classification based on Adversarial | learning | and Pareto Ranking |
| Deep Order-Preserving | learning | With Adaptive Optimal Transport Distance |
| Deep part-related feature | learning | for human-level biometrics |
| Deep Partial Multi-View | learning | |
| Deep patch | learning | for weakly supervised object classification and discovery |
| Deep Photo Enhancer: Unpaired | learning | for Image Enhancement from Photographs with GANs |
| Deep Photo Scan: Semi-Supervised | learning | for dealing with the real-world degradation in Smartphone Photo Scanning |
| Deep point-to-subspace metric | learning | for sketch-based 3D shape retrieval |
| Deep Positional and Relational Feature | learning | for Rotation-invariant Point Cloud Analysis |
| Deep Progressive Reinforcement | learning | for Skeleton-Based Action Recognition |
| Deep Q | learning | Driven CT Pancreas Segmentation With Geometry-Aware U-Net |
| Deep Q-CapsNet Reinforcement | learning | Framework for Intrauterine Cavity Segmentation in TTTS Fetal Surgery Planning |
| Deep Q- | learning | for Active Recognition of GERMS: Baseline performance on a standardized dataset for active learning |
| Deep Q- | learning | for Active Recognition of GERMS: Baseline performance on a standardized dataset for active learning |
| Deep Radial Embedding for Visual Sequence | learning | |
| Deep Randomized Ensembles for Metric | learning | |
| Deep Ranking for Person Re-Identification via Joint Representation | learning | |
| Deep ranking model by large adaptive margin | learning | for person re-identification |
| Deep Rectangling for Image Stitching: A | learning | Baseline |
| Deep Region and Multi-label | learning | for Facial Action Unit Detection |
| Deep Regionlets: Blended Representation and Deep | learning | for Generic Object Detection |
| Deep Regression Bayesian Network and Its Applications: Probabilistic Deep | learning | for Computer Vision, The |
| Deep Reinforced Attention | learning | for Quality-Aware Visual Recognition |
| Deep Reinforcement Active | learning | for Human-in-the-Loop Person Re-Identification |
| Deep Reinforcement | learning | and NOMA-Based Multi-Objective RIS-Assisted IS-UAV-TNs: Trajectory Optimization and Beamforming Design |
| Deep Reinforcement | learning | Approach for Airport Departure Metering Under Spatial-Temporal Airside Interactions, A |
| Deep Reinforcement | learning | Approach for Emergency Response Management |
| Deep Reinforcement | learning | Approach for V2X Managed Intersections of Connected Vehicles |
| deep reinforcement | learning | approach to character segmentation of license plate images, A |
| Deep Reinforcement | learning | Approach to Multiple Streams' Joint Bitrate Allocation, A |
| Deep Reinforcement | learning | Approach to Traffic Signal Control With Temporal Traffic Pattern Mining, A |
| Deep Reinforcement | learning | Assisted Beam Tracking and Data Transmission for 5G V2X Networks |
| Deep reinforcement | learning | based active safety control for distributed drive electric vehicles |
| Deep reinforcement | learning | based conflict detection and resolution in air traffic control |
| Deep Reinforcement | learning | Based Freshness-Aware Path Planning for UAV-Assisted Edge Computing Networks with Device Mobility |
| Deep Reinforcement | learning | Based Real-Time Solution Policy for the Traveling Salesman Problem, A |
| Deep reinforcement | learning | collision avoidance using policy gradient optimisation and Q-learning |
| Deep reinforcement | learning | collision avoidance using policy gradient optimisation and Q-learning |
| Deep Reinforcement | learning | Designed Shinnar-Le Roux RF Pulse Using Root-Flipping: DeepRFSLR |
| Deep Reinforcement | learning | for Automatic Thumbnail Generation |
| Deep Reinforcement | learning | for Autonomous Driving by Transferring Visual Features |
| Deep Reinforcement | learning | for Autonomous Driving: A Survey |
| Deep Reinforcement | learning | for Computation and Communication Resource Allocation in Multiaccess MEC Assisted Railway IoT Networks |
| Deep Reinforcement | learning | for Event-Driven Multi-Agent Decision Processes |
| Deep Reinforcement | learning | for Exact Combinatorial Optimization: Learning to Branch |
| Deep Reinforcement | learning | for Exact Combinatorial Optimization: Learning to Branch |
| Deep Reinforcement | learning | for Flipper Control of Tracked Robots in Urban Rescuing Environments |
| Deep Reinforcement | learning | for Image Hashing |
| Deep Reinforcement | learning | for Intelligent Transportation Systems: A Survey |
| Deep Reinforcement | learning | for Playing 2.5D Fighting Games |
| Deep Reinforcement | learning | for Semisupervised Hyperspectral Band Selection |
| Deep Reinforcement | learning | for Solving the Heterogeneous Capacitated Vehicle Routing Problem |
| Deep Reinforcement | learning | for the Electric Vehicle Routing Problem With Time Windows |
| Deep Reinforcement | learning | for Video Prediction |
| Deep Reinforcement | learning | for Weak Human Activity Localization |
| Deep Reinforcement | learning | Method For Multimodal Data Fusion in Action Recognition, A |
| Deep Reinforcement | learning | of Region Proposal Networks for Object Detection |
| Deep Reinforcement | learning | of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image |
| Deep Reinforcement | learning | on a Budget: 3D Control and Reasoning Without a Supercomputer |
| Deep Reinforcement | learning | Two-Way Transit Signal Priority Algorithm for Optimizing Headway Adherence and Speed |
| Deep reinforcement | learning | with credit assignment for combinatorial optimization |
| Deep Reinforcement | learning | With Graph Representation for Vehicle Repositioning |
| Deep Reinforcement | learning | with Iterative Shift for Visual Tracking |
| Deep Reinforcement | learning | -Based Adaptive Modulation for Underwater Acoustic Communication with Outdated Channel State Information |
| Deep Reinforcement | learning | -Based Image Captioning with Embedding Reward |
| Deep reinforcement | learning | -based patch selection for illuminant estimation |
| Deep Reinforcement | learning | -Based Resource Management Game in Vehicular Edge Computing, A |
| Deep Reinforcement | learning | -Based Traffic Light Scheduling Framework for SDN-Enabled Smart Transportation System |
| Deep Reinforcement | learning | : A Brief Survey |
| Deep reinforcement- | learning | -based driving policy for autonomous road vehicles |
| Deep Relation | learning | for Regression and Its Application to Brain Age Estimation |
| Deep Relational Metric | learning | |
| Deep Relative Distance | learning | : Tell the Difference between Similar Vehicles |
| Deep Representation | learning | Characterized by Inter-Class Separation for Image Clustering |
| Deep representation | learning | for domain generalization with information bottleneck principle |
| Deep Representation | learning | for Human Motion Prediction and Classification |
| Deep Representation | learning | for Metadata Verification |
| Deep Representation | learning | on Long-Tailed Data: A Learnable Embedding Augmentation Perspective |
| Deep Representation | learning | With Part Loss for Person Re-Identification |
| Deep residential representations: Using unsupervised | learning | to unlock elevation data for geo-demographic prediction |
| Deep Residual | learning | for Image Recognition |
| Deep Residual | learning | in the JPEG Transform Domain |
| Deep RGB-Driven | learning | Network for Unsupervised Hyperspectral Image Super-resolution |
| Deep robust multi-channel | learning | subspace clustering networks |
| Deep SAR-Net: | learning | objects from signals |
| Deep Scene Flow | learning | : From 2D Images to 3D Point Clouds |
| Deep Self- | learning | From Noisy Labels |
| Deep Self- | learning | Hashing for Image Retrieval |
| Deep Self- | learning | Network for Adaptive Pansharpening |
| Deep self-paced | learning | for person re-identification |
| Deep Self-Paced | learning | for Semi-Supervised Person Re-Identification Using Multi-View Self-Paced Clustering |
| Deep Self-Supervised Representation | learning | for Free-Hand Sketch |
| Deep Self-Taught | learning | for Weakly Supervised Object Localization |
| Deep Semantic Parsing of Freehand Sketches With Homogeneous Transformation, Soft-Weighted Loss, and Staged | learning | |
| Deep Semi-Supervised | learning | |
| Deep semi-supervised | learning | for DTI prediction using large datasets and H2O-spark platform |
| Deep Semi-Supervised Metric | learning | with Mixed Label Propagation |
| Deep Semisupervised Multiview | learning | With Increasing Views |
| Deep sensorimotor | learning | for RGB-D object recognition |
| Deep Shearlet Residual | learning | Network for Single Image Super-Resolution |
| Deep Spatial Gradient and Temporal Depth | learning | for Face Anti-Spoofing |
| Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images Based on Contrastive | learning | |
| Deep Spatiality: Unsupervised | learning | of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax |
| Deep Spectral Representation | learning | from Multi-View Data |
| Deep SR-HDR: Joint | learning | of Super-Resolution and High Dynamic Range Imaging for Dynamic Scenes |
| Deep SR-ITM: Joint | learning | of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications |
| Deep Stable | learning | for Out-Of-Distribution Generalization |
| Deep Stereo Fusion: Combining Multiple Disparity Hypotheses with Deep- | learning | |
| Deep Stereo: | learning | to Predict New Views from the World's Imagery |
| Deep Structured | learning | for Facial Action Unit Intensity Estimation |
| Deep structured | learning | for mass segmentation from mammograms |
| Deep Structured Scene Parsing by | learning | with Image Descriptions |
| Deep structured-output regression | learning | for computational color constancy |
| Deep Subclass Linear Discriminant Analysis For Multimodal Feature Space | learning | |
| Deep subspace | learning | for expression recognition driven by a two-phase representation classifier |
| Deep super-class | learning | for long-tail distributed image classification |
| Deep Supervised Multi-View | learning | With Graph Priors |
| Deep Symmetric Network for Underexposed Image Enhancement with Recurrent Attentional | learning | |
| Deep TEC: Deep Transfer | learning | with Ensemble Classifier for Road Extraction from UAV Imagery |
| Deep Tiling: Texture Tile Synthesis Using a Constant Space Deep | learning | Approach |
| Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow: Editorial for the 2nd Special Issue Machine | learning | for Image Reconstruction |
| Deep transductive network for generalized zero shot | learning | |
| Deep transfer | learning | based classification model for covid-19 using chest CT-scans |
| Deep transfer | learning | based hepatitis B virus diagnosis using spectroscopic images |
| Deep Transfer | learning | for Alzheimer's disease detection |
| Deep Transfer | learning | for Art Classification Problems |
| Deep Transfer | learning | for Few-Shot SAR Image Classification |
| Deep Transfer | learning | for Multiple Class Novelty Detection |
| Deep Transfer | learning | For Plant Center Localization |
| Deep Transfer | learning | for Vulnerable Road Users Detection using Smartphone Sensors Data |
| deep transfer | learning | framework for mapping high spatiotemporal resolution LAI, A |
| Deep Transfer | learning | Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection, A |
| Deep Transfer | learning | Models for Tomato Disease Detection |
| Deep transfer | learning | of global spectra for local soil carbon monitoring |
| Deep Transfer | learning | Toponym Extraction and Geospatial Clustering Framework for Investigating Scenic Spots as Cognitive Regions, A |
| Deep Transfer Metric | learning | |
| Deep transfer metric | learning | |
| Deep transformation | learning | for face recognition in the unconstrained scene |
| Deep Tree | learning | for Zero-Shot Face Anti-Spoofing |
| Deep Unbiased Embedding Transfer for Zero-Shot | learning | |
| Deep Unfolding Sparse Bayesian | learning | Network for Off-Grid DOA Estimation with Nested Array |
| Deep Unsupervised Active | learning | via Matrix Sketching |
| Deep Unsupervised Binary Descriptor | learning | Through Locality Consistency and Self Distinctiveness |
| Deep Unsupervised Hashing with Semantic Consistency | learning | |
| Deep Unsupervised | learning | Approach for Airspace Complexity Evaluation, A |
| Deep Unsupervised | learning | for Image Super-Resolution with Generative Adversarial Network |
| Deep Unsupervised | learning | for Simultaneous Visual Odometry and Depth Estimation |
| Deep Unsupervised | learning | of 3D Point Clouds via Graph Topology Inference and Filtering |
| Deep unsupervised | learning | of visual similarities |
| Deep unsupervised | learning | with consistent inference of latent representations |
| Deep Unsupervised Similarity | learning | Using Partially Ordered Sets |
| Deep Variation-Structured Reinforcement | learning | for Visual Relationship and Attribute Detection |
| Deep Variational Metric | learning | |
| Deep Vision: Deep | learning | in Computer Vision |
| Deep Volumetric Descriptor | learning | for Dense Correspondence of Cone-Beam Computed Tomography via Spectral Maps |
| Deep Zero-Shot | learning | for Scene Sketch |
| Deep-fUS: A Deep | learning | Platform for Functional Ultrasound Imaging of the Brain Using Sparse Data |
| Deep- | learning | and High Performance Computing to Boost Biomedical Applications |
| Deep- | learning | Approach to Facial Expression Recognition with Candid Images, A |
| Deep- | learning | Approach to Soil Moisture Estimation with GNSS-R, A |
| Deep- | learning | architecture to forecast destinations of bus passengers from entry-only smart-card data |
| Deep- | learning | Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images |
| Deep- | learning | based segmentation of challenging myelin sheaths |
| Deep- | learning | for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography |
| Deep- | learning | framework to detect lung abnormality: A study with chest X-Ray and lung CT scan images |
| Deep- | learning | Full-Waveform Inversion Using Seismic Migration Images |
| Deep- | learning | generation of POI data with scene images |
| Deep- | learning | Image Reconstruction for Real-Time Photoacoustic System |
| Deep- | learning | Inversion of Seismic Data |
| Deep- | learning | Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues |
| Deep- | learning | Scheme for Hydrometeor Type Classification Using Passive Microwave Observations, A |
| Deep- | learning | Schemes for Full-Wave Nonlinear Inverse Scattering Problems |
| Deep- | learning | Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations |
| Deep- | learning | Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations |
| Deep- | learning | Technique for Risk-Based Action Prediction Using Extremely Low-Resolution Thermopile Sensor Array |
| Deep- | learning | Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study |
| Deep- | learning | -assisted visualization for live-cell images |
| Deep- | learning | -Based 3-D Surface Reconstruction: A Survey |
| Deep- | learning | -Based Annotation Extraction Method for Chinese Scanned Maps |
| Deep- | learning | -Based Automated Neuron Reconstruction From 3D Microscopy Images Using Synthetic Training Images |
| Deep- | learning | -Based Automatic Extraction of Aquatic Vegetation from Sentinel-2 Images: A Case Study of Lake Honghu |
| Deep- | learning | -Based Automatic Selection of Fewest Channels for Brain-Machine Interfaces |
| Deep- | learning | -Based Classification for DTM Extraction from ALS Point Cloud |
| Deep- | learning | -Based Classification of Point Clouds for Bridge Inspection |
| Deep- | learning | -based Computer Vision System for Surface-defect Detection |
| Deep- | learning | -Based Electrical Noise Removal Enables High Spectral Optoacoustic Contrast in Deep Tissue |
| Deep- | learning | -Based Energy Aware Images |
| Deep- | learning | -Based Fast Optical Coherence Tomography (OCT) Image Denoising for Smart Laser Osteotomy |
| Deep- | learning | -Based Feature Extraction Approach for Significant Wave Height Prediction in SAR Mode Altimeter Data |
| Deep- | learning | -Based Image Reconstruction and Enhancement in Optical Microscopy |
| Deep- | learning | -based latent space encoding for spectral unmixing of geological materials |
| Deep- | learning | -Based Lossless Image Coding |
| Deep- | learning | -Based Low-Frequency Reconstruction in Full-Waveform Inversion |
| Deep- | learning | -Based Metal Artefact Reduction With Unsupervised Domain Adaptation Regularization for Practical CT Images |
| Deep- | learning | -Based Method for Estimating Permittivity of Ground-Penetrating Radar Targets |
| Deep- | learning | -Based Method for Extracting an Arbitrary Number of Individual Power Lines from UAV-Mounted Laser Scanning Point Clouds, A |
| Deep- | learning | -Based Multimodal Data Fusion Framework for Urban Region Function Recognition, A |
| Deep- | learning | -Based Multiple Model Tracking Method for Targets with Complex Maneuvering Motion |
| Deep- | learning | -Based Multispectral Image Reconstruction from Single Natural Color RGB Image: Enhancing UAV-Based Phenotyping |
| Deep- | learning | -Based Object Filtering According to Altitude for Improvement of Obstacle Recognition during Autonomous Flight |
| Deep- | learning | -Based Pipe Leak Detection Using Image-Based Leak Features |
| Deep- | learning | -Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model |
| Deep- | learning | -Based Rice Phenological Stage Recognition |
| Deep- | learning | -based single-image height reconstruction from very-high-resolution SAR intensity data |
| Deep- | learning | -Based Three-Dimensional Detection of Individual Wave-Dissipating Blocks from As-Built Point Clouds Measured by UAV Photogrammetry and Multibeam Echo-Sounder |
| Deep- | learning | -Based Wireless Resource Allocation With Application to Vehicular Networks |
| Deep-NC: A secure image transmission using deep | learning | and network coding |
| Deep-Person: | learning | discriminative deep features for person Re-Identification |
| Deep-Reinforcement- | learning | -Based Energy Management Strategy for Supercapacitor Energy Storage Systems in Urban Rail Transit |
| Deep/Transfer | learning | with Feature Space Ensemble Networks (FeatSpaceEnsNets) and Average Ensemble Networks (AvgEnsNets) for Change Detection Using DInSAR Sentinel-1 and Optical Sentinel-2 Satellite Data Fusion |
| Deep0Tag: Deep Multiple Instance | learning | for Zero-Shot Image Tagging |
| DeepACO: A Robust Deep | learning | -based Automatic Checkout System |
| DeepAge: Deep | learning | of face-based age estimation |
| DeepAMD: Detect Early Age-Related Macular Degeneration by Applying Deep | learning | in a Multiple Instance Learning Framework |
| DeepAMD: Detect Early Age-Related Macular Degeneration by Applying Deep | learning | in a Multiple Instance Learning Framework |
| DeepBE: | learning | Deep Binary Encoding for Multi-label Classification |
| DeepBox: | learning | Objectness with Convolutional Networks |
| DeepCD: | learning | Deep Complementary Descriptors for Patch Representations |
| DeepCFL: Deep Contextual Features | learning | from a Single Image |
| DeepCog: A Trustworthy Deep | learning | -Based Human Cognitive Privacy Framework in Industrial Policing |
| DeepCrack: | learning | Hierarchical Convolutional Features for Crack Detection |
| DeepCSR: A 3D Deep | learning | Approach for Cortical Surface Reconstruction |
| DeepCurrents: | learning | Implicit Representations of Shapes with Boundaries |
| DeepDance: Music-to-Dance Motion Choreography With Adversarial | learning | |
| DeepDeform: | learning | Non-Rigid RGB-D Reconstruction With Semi-Supervised Data |
| DeepDriving: | learning | Affordance for Direct Perception in Autonomous Driving |
| DeepEMD: Differentiable Earth Mover's Distance for Few-Shot | learning | |
| DeepEmo: Real-world facial expression analysis via deep | learning | |
| DeepFacade: A Deep | learning | Approach to Facade Parsing With Symmetric Loss |
| DeepFirearm: | learning | Discriminative Feature Representation for Fine-Grained Firearm Retrieval |
| DeepFLASH: An Efficient Network for | learning | -Based Medical Image Registration |
| DeepForest: Novel Deep | learning | Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin |
| Deepgender: real-time gender classification using deep | learning | for smartphones |
| DeepGMR: | learning | Latent Gaussian Mixture Models for Registration |
| DeepGrading: Deep | learning | Grading of Corneal Nerve Tortuosity |
| DeepGUM: | learning | Deep Robust Regression with a Gaussian-Uniform Mixture Model |
| DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by | learning | from Synthetic Depth |
| DeepIndices: Remote Sensing Indices Based on Approximation of Functions through Deep- | learning | , Application to Uncalibrated Vegetation Images |
| DeepInSAR: A Deep | learning | Framework for SAR Interferometric Phase Restoration and Coherence Estimation |
| DeepIris: | learning | pairwise filter bank for heterogeneous iris verification |
| DeepISP: Toward | learning | an End-to-End Image Processing Pipeline |
| DeepKSPD: | learning | Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition |
| DeepLight: | learning | Illumination for Unconstrained Mobile Mixed Reality |
| DeepLight: light source estimation for augmented reality using deep | learning | |
| DeepLIMa: Deep | learning | Based Lesion Identification in Mammograms |
| DeepList: | learning | Deep Features With Adaptive Listwise Constraint for Person Reidentification |
| DeepLM: Large-scale Nonlinear Least Squares on Deep | learning | Frameworks using Stochastic Domain Decomposition |
| DeepLogic: Joint | learning | of Neural Perception and Logical Reasoning |
| Deeply Associative Two-Stage Representations | learning | Based on Labels Interval Extension Loss and Group Loss for Person Re-Identification |
| Deeply | learning | Deformable Facial Action Parts Model for Dynamic Expression Analysis |
| Deeply Supervised Discriminative | learning | for Adversarial Defense |
| deeply supervised residual network for HEp-2 cell classification via cross-modal transfer | learning | , A |
| DeepMend: | learning | Occupancy Functions to Represent Shape for Repair |
| DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep | learning | |
| DeepMetaHandles: | learning | Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates |
| Deepmpc: A Mixture ABR Approach Via Deep | learning | and MPC |
| DeepMVS: | learning | Multi-view Stereopsis |
| DeepM^2CDL: Deep Multi-Scale Multi-Modal Convolutional Dictionary | learning | Network |
| DeepNautilus: A Deep | learning | Based System for Nautical Engines' Live Vibration Processing |
| DeepNav: | learning | to Navigate Large Cities |
| DeepOtsu: Document enhancement and binarization using iterative deep | learning | |
| DeepPermNet: Visual Permutation | learning | |
| DeepPoint3D: | learning | discriminative local descriptors using deep metric learning on 3D point clouds |
| DeepPoint3D: | learning | discriminative local descriptors using deep metric learning on 3D point clouds |
| DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement | learning | |
| DeepPruner: | learning | Efficient Stereo Matching via Differentiable PatchMatch |
| DeepQoE: A Multimodal | learning | Framework for Video Quality of Experience (QoE) Prediction |
| DeepQTMT: A Deep | learning | Approach for Fast QTMT-Based CU Partition of Intra-Mode VVC |
| DeepRange: deep- | learning | -based object detection and ranging in autonomous driving |
| DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep | learning | |
| DeepSCC: Deep | learning | -Based Fast Prediction Network for Screen Content Coding |
| DeepSDF: | learning | Continuous Signed Distance Functions for Shape Representation |
| DeepSkeleton: | learning | Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images |
| DeepSPIO: Super Paramagnetic Iron Oxide Particle Quantification Using Deep | learning | in Magnetic Resonance Imaging |
| Deepsub: A Novel Subset Selection Framework for Training Deep | learning | Architectures |
| DeepSurfels: | learning | Online Appearance Fusion |
| DeepTag: An Unsupervised Deep | learning | Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images |
| DeepTrack: | learning | Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking |
| DeepTrack: | learning | Discriminative Feature Representations Online for Robust Visual Tracking |
| DeepTrack: Lightweight Deep | learning | for Vehicle Trajectory Prediction in Highways |
| DeepTrailerAssist: Deep | learning | Based Trailer Detection, Tracking and Articulation Angle Estimation on Automotive Rear-View Camera |
| DeepTrip: A Deep | learning | Model for the Individual Next Trip Prediction With Arbitrary Prediction Times |
| DeepVI: A Novel Framework for | learning | Deep View-Invariant Human Action Representations using a Single RGB Camera |
| DeepVoxels: | learning | Persistent 3D Feature Embeddings |
| DeepVS2.0: A Saliency-Structured Deep | learning | Method for Predicting Dynamic Visual Attention |
| DeepVS: A Deep | learning | Based Video Saliency Prediction Approach |
| DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep | learning | |
| Deepzzle: Solving Visual Jigsaw Puzzles With Deep | learning | and Shortest Path Optimization |
| DeeSIL: Deep-Shallow Incremental | learning | |
| DEF-Net: A Face Aging Model by Using Different Emotional | learning | s |
| DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation | learning | |
| Defect Detection of Pantograph Slide Based on Deep | learning | and Image Processing Technology |
| Defect Detection of Stainless Steel Plates Using Deep | learning | Technology |
| Defending against attacks tailored to transfer | learning | via feature distancing |
| Defending Against Patch-based Backdoor Attacks on Self-Supervised | learning | |
| Defensive Few-Shot | learning | |
| Definition of Effective Training Sets for Supervised Classification of Remote Sensing Images by a Novel Cost-Sensitive Active | learning | Method |
| DeflickerCycleGAN: | learning | to Detect and Remove Flickers in a Single Image |
| DeFLoc: Deep | learning | Assisted Indoor Vehicle Localization Atop FM Fingerprint Map |
| DeFlow: | learning | Complex Image Degradations from Unpaired Data with Conditional Flows |
| Deforestation detection using a spatio-temporal deep | learning | approach with synthetic aperture radar and multispectral images |
| Deformable and Occluded Object Tracking via Graph | learning | |
| Deformable Dictionary | learning | for SAR Image Change Detection |
| Deformable MR Prostate Segmentation via Deep Feature | learning | and Sparse Patch Matching |
| Deformable Part Region | learning | and Feature Aggregation Tree Representation for Object Detection |
| Deformable Protein Shape Classification Based on Deep | learning | , and the Fractional Fokker-Planck and Kahler-Dirac Equations |
| Deformable Registration of Multi-modal Microscopic Images Using a Pyramidal Interactive Registration- | learning | Methodology |
| Deformable Shape Retrieval by | learning | Diffusion Kernels |
| Deformation-Compensated | learning | for Image Reconstruction Without Ground Truth |
| Degradation Model | learning | for Real-world Single Image Super-resolution |
| DejaVu: Conditional Regenerative | learning | to Enhance Dense Prediction |
| Delay-Aware Content Delivery With Deep Reinforcement | learning | in Internet of Vehicles |
| Delayed Reinforcement | learning | for Closed-Loop Object Recognition |
| DELFlow: Dense Efficient | learning | of Scene Flow for Large-Scale Point Clouds |
| Deltas: Depth Estimation by | learning | Triangulation and Densification of Sparse Points |
| Delving into the Effectiveness of Receptive Fields: | learning | Scale-Transferrable Architectures for Practical Object Detection |
| DEM Super-Resolution Reconstruction Network Combining Internal and External | learning | , A |
| DEM- and GIS-Based Analysis of Soil Erosion Depth Using Machine | learning | |
| DeMoN: Depth and Motion Network for | learning | Monocular Stereo |
| Dempster-Shafer evidence theory-based multi-feature | learning | and fusion method for non-rigid 3D model retrieval |
| Denoising Diffusion Probabilistic Model with Adversarial | learning | for Remote Sensing Super-Resolution |
| Dense 3d Object Reconstruction Using Structured-light Scanner and Deep | learning | |
| Dense appearance modeling and efficient | learning | of camera transitions for person re-identification |
| Dense Classification and Implanting for Few-Shot | learning | |
| Dense Contrastive | learning | for Self-Supervised Visual Pre-Training |
| Dense Depth Estimation in Monocular Endoscopy With Self-Supervised | learning | Methods |
| Dense Feature Pyramid Network-Based Deep | learning | Model for Road Marking Instance Segmentation Using MLS Point Clouds, A |
| Dense Interaction | learning | for Video-based Person Re-identification |
| Dense | learning | based Semi-Supervised Object Detection |
| Dense Matching Comparison Between Classical and Deep | learning | Based Algorithms for Remote Sensing Data |
| Dense Multitask | learning | to Reconfigure Comics |
| Dense Network Expansion for Class Incremental | learning | |
| Dense Relation Network: | learning | Consistent and Context-Aware Representation for Semantic Image Segmentation |
| Dense Siamese Network for Dense Unsupervised | learning | |
| Dense Stereo Matching with Growing Aggregation and Neural | learning | |
| Dense structural | learning | for infrared object tracking at 200+ Frames per Second |
| Dense-scale Feature | learning | in Person Re-identification |
| DenseGAP: Graph-Structured Dense Correspondence | learning | with Anchor Points |
| DensePoint: | learning | Densely Contextual Representation for Efficient Point Cloud Processing |
| Density-aware and background-aware network for crowd counting via multi-task | learning | |
| Density-Aware Curriculum | learning | for Crowd Counting |
| Density-Aware Multi-Task | learning | for Crowd Counting |
| DeOccNet: | learning | to See Through Foreground Occlusions in Light Fields |
| dependency-based hybrid deep | learning | framework for target-dependent sentiment classification, A |
| Dependent nonparametric bayesian group dictionary | learning | for online reconstruction of dynamic MR images |
| Depression Detection Based on Deep Distribution | learning | |
| Depression Detection Using Deep | learning | and Natural Language Processing Techniques: A Comparative Study |
| Depth acquisition with the combination of structured light and deep | learning | stereo matching |
| Depth distillation: unsupervised metric depth estimation for UAVs by finding consensus between kinematics, optical flow and deep | learning | |
| Depth estimation for outdoor image using couple dictionary | learning | and region detection |
| Depth extraction from a single image by sampling based on distance metric | learning | |
| Depth from a Light Field Image with | learning | -Based Matching Costs |
| Depth from Defocus via Active Quasi-random Point Projections: A Deep | learning | Approach |
| Depth From Videos in the Wild: Unsupervised Monocular Depth | learning | From Unknown Cameras |
| Depth map estimation from single-view image using object classification based on Bayesian | learning | |
| Depth map super-resolution via multiclass dictionary | learning | with geometrical directions |
| Depth upsampling based on deep edge-aware | learning | |
| Depth-Aware Salient Object Detection and Segmentation via Multiscale Discriminative Saliency Fusion and Bootstrap | learning | |
| Depth-based subgraph convolutional auto-encoder for network representation | learning | |
| DepthLearn: | learning | to Correct the Refraction on Point Clouds Derived from Aerial Imagery for Accurate Dense Shallow Water Bathymetry Based on SVMs-Fusion with LiDAR Point Clouds |
| DER: Dynamically Expandable Representation for Class Incremental | learning | |
| Deriving Neural Network Architectures Using Precision | learning | : Parallel-to-Fan Beam Conversion |
| Deriving Urban Boundaries of Henan Province, China, Based on Sentinel-2 and Deep | learning | Methods |
| Describe, Spot and Explain: Interpretable Representation | learning | for Discriminative Visual Reasoning |
| Describing Images with Ontology-Aware Dictionary | learning | |
| Describing Polyps Behavior of a Deep-Sea Gorgonian, Placogorgia sp., Using a Deep- | learning | Approach |
| Describing Unseen Classes by Exemplars: Zero-Shot | learning | Using Grouped Simile Ensemble |
| Describing Upper-Body Motions Based on Labanotation for | learning | -from-Observation Robots |
| Descriptor | learning | Based on Fisher Separation Criterion for Texture Classification |
| Descriptor | learning | for Efficient Retrieval |
| Descriptor | learning | Using Convex Optimisation |
| DeshuffleGAN: A Self-Supervised GAN to Improve Structure | learning | |
| Design and Development of a Smart Variable Rate Sprayer Using Deep | learning | |
| Design method of PID-type model predictive iterative | learning | control based on the two-dimensional generalized predictive control scheme |
| Design of a color reproduction neural network chip with on-chip | learning | capability |
| Design of a computer vision system for a differential spraying operation in precision agriculture using hebbian | learning | |
| Design of Blockchain enabled intrusion detection model for detecting security attacks using deep | learning | |
| Design Of Multicategory Multifeature Split Decision Trees Using Perceptron | learning | |
| Design of Safe Optimal Guidance With Obstacle Avoidance Using Control Barrier Function-Based Actor-Critic Reinforcement | learning | |
| Design of supervision-scalable | learning | systems: Methodology and performance benchmarking |
| Designing a European-Wide Crop Type Mapping Approach Based on Machine | learning | Algorithms Using LUCAS Field Survey and Sentinel-2 Data |
| Designing an Interactive | learning | to Enrich Children's Experience in Museum Visit |
| deSpeckNet: Generalizing Deep | learning | -Based SAR Image Despeckling |
| Destruction and Construction | learning | for Fine-Grained Image Recognition |
| Destruction and Reconstruction | learning | for Facial Expression Recognition |
| DETA: A Point-Based Tracker With Deformable Transformer and Task-Aligned | learning | |
| DETA: Denoised Task Adaptation for Few-Shot | learning | |
| Detach and Adapt: | learning | Cross-Domain Disentangled Deep Representation |
| Detail-Preserving Cross-Scale | learning | Strategy for CNN-Based Pansharpening, A |
| Details or Artifacts: A Locally Discriminative | learning | Approach to Realistic Image Super-Resolution |
| DetCo: Unsupervised Contrastive | learning | for Object Detection |
| Detect2Rank: Combining Object Detectors Using | learning | to Rank |
| Detecting abandoned farmland using harmonic analysis and machine | learning | |
| Detecting and adapting to crisis pattern with context based Deep Reinforcement | learning | |
| Detecting and Locating Gastrointestinal Anomalies Using Deep | learning | and Iterative Cluster Unification |
| Detecting anomalous events in videos by | learning | deep representations of appearance and motion |
| Detecting brain tumors using deep | learning | convolutional neural network with transfer learning approach |
| Detecting brain tumors using deep | learning | convolutional neural network with transfer learning approach |
| Detecting Cardiovascular Disease from Mammograms With Deep | learning | |
| Detecting cerebral microbleeds with transfer | learning | |
| Detecting Changes in Impervious Surfaces Using Multi-Sensor Satellite Imagery and Machine | learning | Methodology in a Metropolitan Area |
| Detecting Chinese calligraphy style consistency by deep | learning | and one-class SVM |
| Detecting Cognitive States from fMRI Images by Machine | learning | and Multivariate Classification |
| Detecting different sub-types of acute myelogenous leukemia using dictionary | learning | and sparse representation |
| Detecting exercise-induced fatigue using thermal imaging and deep | learning | |
| Detecting Generated Image Based on a Coupled Network with Two-Step Pairwise | learning | |
| Detecting High-Rise Buildings from Sentinel-2 Data Based on Deep | learning | Method |
| Detecting Human-Object Interaction via Fabricated Compositional | learning | |
| Detecting individual abandoned houses from google street view: A hierarchical deep | learning | approach |
| Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep | learning | |
| Detecting Marine pollutants and Sea Surface features with Deep | learning | in Sentinel-2 imagery |
| Detecting Marine Species in Echograms via Traditional, Hybrid, and Deep | learning | Frameworks |
| Detecting Neolithic Burial Mounds from LiDAR-Derived Elevation Data Using a Multi-Scale Approach and Machine | learning | Techniques |
| Detecting Parkinson's disease with sustained phonation and speech signals using machine | learning | techniques |
| Detecting Pedestrians by | learning | Shapelet Features |
| Detecting Prohibited Items in X-Ray Images: a Contour Proposal | learning | Approach |
| Detecting road surface wetness from audio: A deep | learning | approach |
| Detecting Seam-Carved Image by Extreme | learning | Machines Using Patch Analysis Method, Jury Voting, and Combinatorial Fusion |
| Detecting Smiles of Young Children via Deep Transfer | learning | |
| Detecting Social Signals in User-Shared Images for Connection Discovery Using Deep | learning | |
| Detecting State of Charge False Reporting Attacks via Reinforcement | learning | Approach |
| Detecting Tampered Videos with Multimedia Forensics and Deep | learning | |
| Detecting the Archaeological Traces of Tar Production Kilns in the Northern Boreal Forests Based on Airborne Laser Scanning and Deep | learning | |
| Detecting the Nature of Change in an Urban Environment: A Comparison of Machine | learning | Algorithms |
| Detecting Traffic Information From Social Media Texts With Deep | learning | Approaches |
| Detecting Underwater Discrete Scatterers in Echograms with Deep | learning | -Based Semantic Segmentation |
| Detecting Wheat Heads from UAV Low-Altitude Remote Sensing Images Using Deep | learning | Based on Transformer |
| Detecting Winter Cover Crops and Crop Residues in the Midwest US Using Machine | learning | Classification of Thermal and Optical Imagery |
| Detection and classification of breast cancer from digital mammograms using hybrid extreme | learning | machine classifier |
| Detection and classification of electroencephalogram signals for epilepsy disease using machine | learning | methods |
| Detection and Classification of Floating Plastic Litter Using a Vessel-Mounted Video Camera and Deep | learning | |
| Detection and classification of large bowel obstruction from X-ray images using machine | learning | algorithms |
| Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme | learning | machine and non-linear regression models: A comparison |
| Detection and Continual | learning | of Novel Face Presentation Attacks |
| Detection and correction of disparity estimation errors via supervised | learning | |
| Detection and Correspondence Matching of Corneal Reflections for Eye Tracking Using Deep | learning | |
| Detection and Counting of Maize Leaves Based on Two-Stage Deep | learning | with UAV-Based RGB Image |
| Detection and diagnosis of brain tumors using deep | learning | convolutional neural networks |
| Detection and diagnosis of brain tumors-framework using extreme machine | learning | and CANFIS classification algorithms |
| Detection and diagnosis of COVID-19 infection in lungs images using deep | learning | techniques |
| Detection and discrimination of disease-related abnormalities based on | learning | normal cases |
| Detection and Evaluation of Driver Distraction Using Machine | learning | and Fuzzy Logic |
| Detection and Localization of Image Forgeries Using Resampling Features and Deep | learning | |
| Detection and Mapping of Chestnut Using Deep | learning | from High-Resolution UAV-Based RGB Imagery |
| Detection Approach for Floating Debris Using Ground Images Based on Deep | learning | , A |
| Detection guided deconvolutional network for hierarchical feature | learning | |
| Detection of 3D Spinal Geometry Using Iterated Marginal Space | learning | |
| Detection of a Moving UAV Based on Deep | learning | -Based Distance Estimation |
| Detection of anomalous driving behaviors by unsupervised | learning | of graphs |
| Detection of Aquatic Invasive Plants in Wetlands of the Upper Mississippi River from UAV Imagery Using Transfer | learning | |
| Detection of asian hornet's nest on drone acquired FLIR and color images using deep | learning | methods |
| Detection of banana plants and their major diseases through aerial images and machine | learning | methods: A case study in DR Congo and Republic of Benin |
| Detection of Bark Beetle Disturbance at Tree Level Using UAS Multispectral Imagery and Deep | learning | |
| Detection of Building Roofs and Facades From Aerial Laser Scanning Data Using Deep | learning | |
| Detection of Collapsed Bridges from Multi-Temporal SAR Intensity Images by Machine | learning | Techniques |
| Detection of Concept Frames Using Clustering Multi-instance | learning | , The |
| Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine | learning | Approaches |
| Detection of difficult airway using deep | learning | |
| Detection of Dyslexic Children Using Machine | learning | and Multimodal Hindi Language Eye-Gaze-Assisted Learning System |
| Detection of Dyslexic Children Using Machine | learning | and Multimodal Hindi Language Eye-Gaze-Assisted Learning System |
| Detection of Face Morphing Attacks by Deep | learning | |
| Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep | learning | |
| Detection of Forest Fires through Deep Unsupervised | learning | Modeling of Sentinel-1 Time Series |
| Detection of forgery in paintings using supervised | learning | |
| Detection of Fusarium Damaged Kernels in Wheat Using Deep Semi-Supervised | learning | on a Novel WheatSeedBelt Dataset |
| Detection Of Harbours From High Resolution Remote Sensing Imagery Via Saliency Analysis And Feature | learning | |
| Detection of Intracranial Hypertension using Deep | learning | |
| Detection of Italian Ryegrass in Wheat and Prediction of Competitive Interactions Using Remote-Sensing and Machine- | learning | Techniques |
| Detection of Land-Cover Transitions in Multitemporal Remote Sensing Images With Active- | learning | -Based Compound Classification |
| Detection of Leek Rust Disease under Field Conditions Using Hyperspectral Proximal Sensing and Machine | learning | |
| Detection of Metadata Tampering Through Discrepancy Between Image Content and Metadata Using Multi-task Deep | learning | |
| Detection of panoramic vision pedestrian based on deep | learning | |
| Detection of River Plastic Using UAV Sensor Data and Deep | learning | |
| Detection of Rubber Tree Powdery Mildew from Leaf Level Hyperspectral Data Using Continuous Wavelet Transform and Machine | learning | |
| Detection of Sargassum from Sentinel Satellite Sensors Using Deep | learning | Approach |
| Detection of Shallow Water Area With Machine | learning | Algorithms |
| Detection of Ships Cruising in the Azimuth Direction Using Spotlight SAR Images with a Deep | learning | Method |
| Detection of Standing Dead Trees after Pine Wilt Disease Outbreak with Airborne Remote Sensing Imagery by Multi-Scale Spatial Attention Deep | learning | and Gaussian Kernel Approach |
| Detection of Surface Crevasses over Antarctic Ice Shelves Using SAR Imagery and Deep | learning | Method |
| Detection of the Infection Stage of Pine Wilt Disease and Spread Distance Using Monthly UAV-Based Imagery and a Deep | learning | Approach |
| Detection of the Monitoring Window for Pine Wilt Disease Using Multi-Temporal UAV-Based Multispectral Imagery and Machine | learning | Algorithms |
| Detection of Train Driver Fatigue and Distraction Based on Forehead EEG: A Time-Series Ensemble | learning | Method |
| Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine | learning | Approach |
| Detection of Unexploded Ordnance via Efficient Semisupervised and Active | learning | |
| Detection of Urban Damage Using Remote Sensing and Machine | learning | Algorithms: Revisiting the 2010 Haiti Earthquake |
| Detection of White Leaf Disease in Sugarcane Crops Using UAV-Derived RGB Imagery with Existing Deep | learning | Models |
| Detection, quantification and classification of ripened tomatoes: a comparative analysis of image processing and machine | learning | |
| Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised | learning | |
| Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep | learning | |
| Detector discovery in the wild: Joint multiple instance and representation | learning | |
| Determination of optimal metabolic pathways through a new | learning | algorithm |
| Determining Actual Evapotranspiration Based on Machine | learning | and Sinusoidal Approaches Applied to Thermal High-Resolution Remote Sensing Imagery in a Semi-Arid Ecosystem |
| Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine | learning | Algorithms |
| Deterministic Improved Q- | learning | for Path Planning of a Mobile Robot, A |
| Developing a blended | learning | approach for the effective teaching of electronic circuit analysis |
| Developing a Deep | learning | -Based Detector of Magnetic, Ne, Te and TEC Anomalies from Swarm Satellites: The Case of Mw 7.1 2021 Japan Earthquake |
| Developing a Dual-Stream Deep- | learning | Neural Network Model for Improving County-Level Winter Wheat Yield Estimates in China |
| Developing a machine | learning | based cotton yield estimation framework using multi-temporal UAS data |
| Developing a New Machine- | learning | Algorithm for Estimating Chlorophyll-a Concentration in Optically Complex Waters: A Case Study for High Northern Latitude Waters by Using Sentinel 3 OLCI |
| Developing a Smart PACS: CBIR System Using Deep | learning | |
| Developing and Testing a Deep | learning | Approach for Mapping Retrogressive Thaw Slumps |
| Developing Good Habits Using Deep | learning | Techniques |
| Developing High-Resolution Crop Maps for Major Crops in the European Union Based on Transductive Transfer | learning | and Limited Ground Data |
| Developing Spatial and Temporal Continuous Fractional Vegetation Cover Based on Landsat and Sentinel-2 Data with a Deep | learning | Approach |
| Development and Application of Earth Observation Based Machine | learning | Methods for Characterizing Forest and Land Cover Change in Dilijan National Park of Armenia between 1991 and 2019 |
| Development and Application of Machine | learning | in Atmospheric Environment Studies, The |
| Development and Application of Predictive Models to Distinguish Seepage Slicks from Oil Spills on Sea Surfaces Employing SAR Sensors and Artificial Intelligence: Geometric Patterns Recognition under a Transfer | learning | Approach |
| Development and evaluation of a deep | learning | model for real-time ground vehicle semantic segmentation from UAV-based thermal infrared imagery |
| Development and performance evaluation of enhanced image dehazing method using deep | learning | networks |
| Development and Validation of an Unsupervised Feature | learning | System for Leukocyte Characterization and Classification: A Multi-Hospital Study |
| Development and Validation of Machine- | learning | Clear-Sky Detection Method Using 1-Min Irradiance Data and Sky Imagers at a Polluted Suburban Site, Xianghe |
| Development Methodologies for Safety Critical Machine | learning | Applications in the Automotive Domain: A Survey |
| Development of a City-Scale Approach for Facade Color Measurement with Building Functional Classification Using Deep | learning | and Street View Images |
| Development of a clinical decision support system for the early detection of COVID-19 using deep | learning | based on chest radiographic images |
| Development of a Machine | learning | -Based Radiometric Bias Correction for NOAA's Microwave Integrated Retrieval System (MiRS) |
| Development of an Efficient Driving Strategy for Connected and Automated Vehicles at Signalized Intersections: A Reinforcement | learning | Approach |
| Development of an embedded road boundary detection system based on deep | learning | |
| Development of deep | learning | -based facial expression recognition system |
| Development of Few-Shot | learning | Capabilities in Artificial Neural Networks When Learning Through Self-Supervised Interaction |
| Development of Few-Shot | learning | Capabilities in Artificial Neural Networks When Learning Through Self-Supervised Interaction |
| Development of Machine | learning | Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations |
| Developmental Roadmap for | learning | by Imitation in Robots, A |
| Developmental Word Acquisition and Grammar | learning | by Humanoid Robots Through a Self-Organizing Incremental Neural Network |
| Deviation Point Curriculum | learning | for Trajectory Outlier Detection in Cooperative Intelligent Transport Systems |
| Devil Is in the Edges: | learning | Semantic Boundaries From Noisy Annotations |
| Devil is in the Pose: Ambiguity-free 3D Rotation-invariant | learning | via Pose-aware Convolution, The |
| DevNet: Self-supervised Monocular Depth | learning | via Density Volume Construction |
| Devon: Deformable Volume Network for | learning | Optical Flow |
| DexMV: Imitation | learning | for Dexterous Manipulation from Human Videos |
| DF-Net: Unsupervised Joint | learning | of Depth and Flow Using Cross-Task Consistency |
| DF-UHRNet: A Modified CNN-Based Deep | learning | Method for Automatic Sea Ice Classification from Sentinel-1A/B SAR Images |
| DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut | learning | |
| DFR-TSD: A Deep | learning | Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions |
| DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot | learning | |
| DG3D: Generating High Quality 3D Textured Shapes by | learning | to Discriminate Multi-Modal Diffusion-Renderings |
| DGPR-MPC: | learning | -based model predictive controller for autonomous vehicle path following |
| DGSN: | learning | how to segment pedestrians from other datasets for occluded person re-identification |
| DHA: Supervised Deep | learning | to Hash with an Adaptive Loss Function |
| DHFML: deep heterogeneous feature metric | learning | for matching photograph and cartoon pairs |
| DHNet: Salient Object Detection With Dynamic Scale-Aware | learning | and Hard-Sample Refinement |
| Diabetic Retinopathy Detection Using Optimization Assisted Deep | learning | Model: Outlook on Improved Grey Wolf Algorithm |
| DIABLO: Dictionary-based attention block for deep metric | learning | |
| Diag2graph: Representing Deep | learning | Diagrams In Research Papers As Knowledge Graphs |
| Diagnosing Autism Using T1-W MRI With Multi-Kernel | learning | and Hypergraph Neural Network |
| Diagnosing deep | learning | models for high accuracy age estimation from a single image |
| Diagnosis and Classification of Typhoon-Associated Low-Altitude Turbulence Using HKO-TDWR Radar Observations and Machine | learning | |
| Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation | learning | |
| Diagnosis/Prognosis of COVID-19 Chest Images via Machine | learning | and Hypersignal Processing: Challenges, opportunities, and applications |
| diagnostic report supervised deep | learning | model training strategy for diagnosis of COVID-19, A |
| Diagram Image Retrieval and Analysis: Representation, | learning | , and Similarity Metrics |
| Diagram Image Retrieval using Sketch-Based Deep | learning | and Transfer Learning |
| Diagram Image Retrieval using Sketch-Based Deep | learning | and Transfer Learning |
| DIC-ST: A Hybrid Prediction Framework Based on Causal Structure | learning | for Cellular Traffic and Its Application in Urban Computing |
| Dicer: Dialogue-Centric Representation for Knowledge-Grounded Dialogue through Contrastive | learning | |
| DiCoDiLe: Distributed Convolutional Dictionary | learning | |
| Dictionary | learning | and similarity regularization based image noise reduction |
| Dictionary | learning | and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution |
| Dictionary | learning | and Time Sparsity for Dynamic MR Data Reconstruction |
| Dictionary | learning | Approach for Classification: Separating the Particularity and the Commonality, A |
| Dictionary | learning | Approach for Poisson Image Deblurring, A |
| Dictionary | learning | Based Color Demosaicing for Plenoptic Cameras |
| Dictionary | learning | based high frequency inter-layer prediction for scalable HEVC |
| Dictionary | learning | based reconstruction for distributed compressed video sensing |
| Dictionary | learning | based superpixels clustering for weakly-supervised semantic segmentation |
| Dictionary | learning | Constrained Direct Parametric Estimation in Dynamic Myocardial Perfusion PET |
| Dictionary | learning | for a sparse appearance model in visual tracking |
| Dictionary | learning | for Adaptive GPR Landmine Classification |
| Dictionary | learning | for Blind One Bit Compressed Sensing |
| Dictionary | learning | for Fast Classification Based on Soft-thresholding |
| Dictionary | learning | for Few-Shot Remote Sensing Scene Classification |
| Dictionary | learning | for Image Coding Based on Multisample Sparse Representation |
| Dictionary | learning | for image prediction |
| Dictionary | learning | for Noisy and Incomplete Hyperspectral Images |
| Dictionary | learning | for Promoting Structured Sparsity in Hyperspectral Compressive Sensing |
| Dictionary | learning | for Sparse Coding: Algorithms and Convergence Analysis |
| Dictionary | learning | for Sparse Representation: A Novel Approach |
| Dictionary | learning | for sparsity-driven SAR image reconstruction |
| Dictionary | learning | for Stereo Image Representation |
| Dictionary | learning | for Two-Dimensional Kendall Shapes |
| Dictionary | learning | for Visual Tracking with Dimensionality Reduction |
| Dictionary | learning | from Ambiguously Labeled Data |
| Dictionary | learning | in Texture Classification |
| Dictionary | learning | Level Set |
| Dictionary | learning | with Iterative Laplacian Regularisation for Unsupervised Person Re-identification |
| Dictionary | learning | With Optimized Projection Design for Compressive Sensing Applications |
| Dictionary | learning | , Classification |
| Dictionary | learning | - and Total Variation-Based High-Light-Efficiency Snapshot Multi-Aperture Spectral Imaging |
| Dictionary | learning | -Based 3D Morphable Shape Model, A |
| Dictionary | learning | -Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification |
| Dictionary | learning | -based image compression |
| Dictionary | learning | -Based, Directional, and Optimized Prediction for Lenslet Image Coding |
| Dictionary | learning | -Cooperated Matrix Decomposition for Hyperspectral Target Detection |
| Dictionary Pair | learning | on Grassmann Manifolds for Image Denoising |
| Dictionary Reduction: Automatic Compact Dictionary | learning | for Classification |
| Dictionary-based multiple instance | learning | |
| Did It Change? | learning | to Detect Point-Of-Interest Changes for Proactive Map Updates |
| Diff-CVML: Differential Geometry in Computer Vision and Machine | learning | |
| Diffeomorphic Metric | learning | and Template Optimization for Registration-based Predictive Models |
| Difference of Gaussian Statistical Features Based Blind Image Quality Assessment: A Deep | learning | Approach |
| Different Color Spaces In Deep | learning | -Based Water Segmentation For Autonomous Marine Operations |
| Different Input Resolutions and Arbitrary Output Resolution: A Meta | learning | -Based Deep Framework for Infrared and Visible Image Fusion |
| Differentiable Hierarchical Optimal Transport for Robust Multi-View | learning | |
| Differentiable | learning | -to-Group Channels via Groupable Convolutional Neural Networks |
| Differentiable Logic Policy for Interpretable Deep Reinforcement | learning | : A Study From an Optimization Perspective |
| Differentiable Multi-Granularity Human Representation | learning | for Instance-Aware Human Semantic Parsing |
| Differentiable neural architecture | learning | for efficient neural networks |
| Differentiable RandAugment: | learning | Selecting Weights and Magnitude Distributions of Image Transformations |
| Differentiable SLAM-net: | learning | Particle SLAM for Visual Navigation |
| Differentiable Volumetric Rendering: | learning | Implicit 3D Representations Without 3D Supervision |
| Differentiable Zooming for Multiple Instance | learning | on Whole-Slide Images |
| Differential Privacy Oriented Distributed Online | learning | for Mobile Social Video Prefetching |
| Differentially Private Federated | learning | with Local Regularization and Sparsification |
| Differentially Private Online | learning | for Cloud-Based Video Recommendation With Multimedia Big Data in Social Networks |
| Differentiate Soybean Response to Off-Target Dicamba Damage Based on UAV Imagery and Machine | learning | |
| Differentiated Backprojection Domain Deep | learning | for Conebeam Artifact Removal |
| Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine | learning | : A large multicentric cohort study |
| Difficulty-Based Sampling for Debiased Contrastive Representation | learning | |
| Difficulty-Net: | learning | to Predict Difficulty for Long-Tailed Recognition |
| Diffusion Tensor Driven Image Registration: A Deep | learning | Approach |
| DiffusionRig: | learning | Personalized Priors for Facial Appearance Editing |
| DiGeo: Discriminative Geometry-Aware | learning | for Generalized Few-Shot Object Detection |
| Digging Into Self-Supervised | learning | of Feature Descriptors |
| Digit Recognition Applied to Reconstructed Audio Signals Using Deep | learning | |
| Digital hair removal by deep | learning | for skin lesion segmentation |
| Digital image steganalysis: A survey on paradigm shift from machine | learning | to deep learning based techniques |
| Digital image steganalysis: A survey on paradigm shift from machine | learning | to deep learning based techniques |
| Digital Mapping of Soil Organic Carbon with Machine | learning | in Dryland of Northeast and North Plain China |
| Digital Soil Mapping of Soil Organic Matter with Deep | learning | Algorithms |
| Digital Soil Texture Mapping and Spatial Transferability of Machine | learning | Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates |
| Digital Twin for Transportation Big Data: A Reinforcement | learning | -Based Network Traffic Prediction Approach |
| Digital Watermarking Method for Printed Matters Using Deep | learning | for Detecting Watermarked Areas |
| Dilated Residual | learning | With Skip Connections for Real-Time Denoising of Laser Speckle Imaging of Blood Flow in a Log-Transformed Domain |
| DILIE: Deep Internal | learning | for Image Enhancement |
| DILRS: Domain-Incremental | learning | for Semantic Segmentation in Multi-Source Remote Sensing Data |
| Dim and Small Space-Target Detection and Centroid Positioning Based on Motion Feature | learning | |
| DIMAL: Deep Isometric Manifold | learning | Using Sparse Geodesic Sampling |
| Dimension Reduction With Extreme | learning | Machine |
| Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric | learning | |
| Dimensionality Reduction by | learning | an Invariant Mapping |
| Dimensionality Reduction in Unsupervised | learning | of Conditional Gaussian Networks |
| Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-Spectral Manifold | learning | |
| Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant | learning | for Hyperspectral Image Classification |
| Diminishing Uncertainty Within the Training Pool: Active | learning | for Medical Image Segmentation |
| DIML: Deep Interpretable Metric | learning | via Structural Matching |
| DIOR: Deep Iterative Optimization-Based Residual- | learning | for Limited-Angle CT Reconstruction |
| dipIQ: Blind Image Quality Assessment by | learning | -to-Rank Discriminable Image Pairs |
| DiRA: Discriminative, Restorative, and Adversarial | learning | for Self-supervised Medical Image Analysis |
| Direct Estimation of Fiber Orientations Using Deep | learning | in Diffusion Imaging |
| Direct Feedback Alignment Based Convolutional Neural Network Training for Low-Power Online | learning | Processor |
| Direct Intrinsics: | learning | Albedo-Shading Decomposition by Convolutional Regression |
| Direct Method for Building Sparse Kernel | learning | Algorithms, A |
| Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression | learning | |
| Direct Quantification of Coronary Artery Stenosis Through Hierarchical Attentive Multi-View | learning | |
| Direction Concentration | learning | : Enhancing Congruency in Machine Learning |
| Direction Concentration | learning | : Enhancing Congruency in Machine Learning |
| direction finding method for spatial optical beam-forming network based on sparse Bayesian | learning | , A |
| Direction of Arrival Estimation for Complex Sources Through L_1 Norm Sparse Bayesian | learning | |
| Directional Eigentemplate | learning | for Sparse Template Tracker |
| Directional Self-supervised | learning | for Heavy Image Augmentations |
| Directional statistics-based deep metric | learning | for image classification and retrieval |
| Dirichlet Process Based Active | learning | and Discovery of Unknown Classes for Hyperspectral Image Classification |
| disagreement based co-active | learning | method for sleep stage classification, A |
| Disaster damage detection through synergistic use of deep | learning | and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning |
| Disaster damage detection through synergistic use of deep | learning | and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning |
| DisBezant: Secure and Robust Federated | learning | Against Byzantine Attack in IoT-Enabled MTS |
| DISC: | learning | from Noisy Labels via Dynamic Instance-Specific Selection and Correction |
| Discernibility Matrix-Based Ensemble | learning | |
| Discface: Minimum Discrepancy | learning | for Deep Face Recognition |
| DisCo: Remedying Self-supervised | learning | on Lightweight Models with Distilled Contrastive Learning |
| DisCo: Remedying Self-supervised | learning | on Lightweight Models with Distilled Contrastive Learning |
| DiscoNet: Shapes | learning | on Disconnected Manifolds for 3D Editing |
| Discontinuity Detection in GNSS Station Coordinate Time Series Using Machine | learning | |
| Discovering Human Interactions With Novel Objects via Zero-Shot | learning | |
| Discovering Human-Object Interaction Concepts via Self-Compositional | learning | |
| Discovering Motion Primitives for Unsupervised Grouping and One-Shot | learning | of Human Actions, Gestures, and Expressions |
| Discovering the Ancient Tomb under the Forest Using Machine | learning | with Timing-Series Features of Sentinel Images: Taking Baling Mountain in Jingzhou as an Example |
| Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature | learning | |
| Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep | learning | |
| Discrepancy-Aware Meta- | learning | for Zero-Shot Face Manipulation Detection |
| Discrepant Multiple Instance | learning | for Weakly Supervised Object Detection |
| Discrete hashing with triple supervision | learning | |
| Discrete Metric | learning | for Fast Image Set Classification |
| Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse | learning | |
| Discrete Representation | learning | for Modeling Imaging-based Spatial Transcriptomics Data |
| Discrete space reinforcement | learning | algorithm based on support vector machine classification |
| Discrete space reinforcement | learning | algorithm based on twin support vector machine classification |
| discrete-time parallel update algorithm for distributed | learning | , A |
| Discretizing Continuous Neural Networks Using a Polarization | learning | Rule |
| Discriminability Distillation in Group Representation | learning | |
| Discriminability-enforcing loss to improve representation | learning | |
| Discriminant Analysis with Graph | learning | for Hyperspectral Image Classification |
| Discriminant Deep Feature | learning | based on joint supervision Loss and Multi-layer Feature Fusion for heterogeneous face recognition |
| Discriminant Function Revisited for Incremental | learning | |
| Discriminant Functional | learning | of Color Features for the Recognition of Facial Action Units and Their Intensities |
| Discriminant Image Filter | learning | for Face Recognition with Local Binary Pattern Like Representation |
| discriminant kernel entropy-based framework for feature representation | learning | , A |
| Discriminant | learning | Through Multiple Principal Angles for Visual Recognition |
| Discriminant Manifold | learning | via Sparse Coding for Image Analysis |
| Discriminant Mutual Subspace | learning | for Indoor and Outdoor Face Recognition |
| Discriminating features | learning | in hand gesture classification |
| Discrimination-Aware Mechanism for Fine-grained Representation | learning | |
| Discriminative Analysis Dictionary and Classifier | learning | for Pattern Classification |
| Discriminative and consistent similarities in instance-level Multiple Instance | learning | |
| Discriminative and Robust Attribute Alignment for Zero-Shot | learning | |
| Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised | learning | |
| Discriminative archetypal self-taught | learning | for multispectral landcover classification |
| Discriminative Auto-Encoding for Classification and Representation | learning | Problems |
| Discriminative Bayesian Dictionary | learning | for Classification |
| Discriminative binary feature | learning | and quantization in biometric key generation |
| Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel | learning | Approach upon Sparse Gaussian Bayesian Network |
| Discriminative clustering using regularized subspace | learning | |
| Discriminative common feature subspace | learning | for age-invariant face recognition |
| Discriminative context | learning | with gated recurrent unit for group activity recognition |
| Discriminative Covariance Oriented Representation | learning | for Face Recognition with Image Sets |
| Discriminative Cross-Modal Transfer | learning | and Densely Cross-Level Feedback Fusion for RGB-D Salient Object Detection |
| Discriminative Cross-View Binary Representation | learning | |
| Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance | learning | in Image Classification, A |
| Discriminative deep attributes for generalized zero-shot | learning | |
| Discriminative Deep Metric | learning | for Face and Kinship Verification |
| Discriminative Deep Metric | learning | for Face Verification in the Wild |
| Discriminative deep semi-nonnegative matrix factorization network with similarity maximization for unsupervised feature | learning | |
| Discriminative dictionary | learning | for EEG signal classification in Brain-computer interface |
| Discriminative dictionary | learning | for retinal vessel segmentation using fusion of multiple features |
| Discriminative Dictionary | learning | With Common Label Alignment for Cross-Modal Retrieval |
| Discriminative Dictionary | learning | with Low-Rank Error Model for Robust Crater Recognition |
| Discriminative dictionary | learning | with low-rank regularization for face recognition |
| Discriminative Dictionary | learning | With Motion Weber Local Descriptor for Violence Detection |
| Discriminative Dictionary | learning | with Pairwise Constraints |
| Discriminative dictionary | learning | with spatial priors |
| Discriminative dictionary pair | learning | from partially labeled data |
| Discriminative Feature | learning | Approach for Deep Face Recognition, A |
| Discriminative Feature | learning | Approach for Remote Sensing Image Retrieval, A |
| Discriminative Feature | learning | Constrained Unsupervised Network for Cloud Detection in Remote Sensing Imagery |
| Discriminative Feature | learning | for Thorax Disease Classification in Chest X-ray Images |
| Discriminative Feature | learning | for Unsupervised Change Detection in Heterogeneous Images Based on a Coupled Neural Network |
| Discriminative feature | learning | from big data for visual recognition |
| Discriminative Feature | learning | with an Optimal Pattern Model for Image Classification |
| Discriminative Feature | learning | With Consistent Attention Regularization for Person Re-Identification |
| Discriminative Feature | learning | With Foreground Attention for Person Re-Identification |
| Discriminative feature | learning | -based pixel difference representation for facial expression recognition |
| Discriminative Feature Metric | learning | in the Affinity Propagation Model for Band Selection in Hyperspectral Images |
| Discriminative Features for Incremental | learning | Classifier |
| Discriminative Few Shot | learning | of Facial Dynamics in Interview Videos for Autism Trait Classification |
| Discriminative filter based regression | learning | for facial expression recognition |
| Discriminative Frequency Information | learning | for End-to-End Speech Anti-Spoofing |
| Discriminative Hallucination for Multi-Modal Few-Shot | learning | |
| Discriminative Identity-Feature Exploring and Differential Aware | learning | for Unsupervised Person Re-Identification |
| Discriminative K-SVD for dictionary | learning | in face recognition |
| Discriminative kernel-based metric | learning | for face verification |
| Discriminative label consistent dictionary | learning | |
| Discriminative | learning | and Recognition of Image Set Classes Using Canonical Correlations |
| discriminative | learning | criterion for the overall optimization of error and reject, A |
| Discriminative | learning | for Deformable Shape Segmentation: A Comparative Study |
| Discriminative | learning | for Dynamic State Prediction |
| Discriminative | learning | for Minimum Error and Minimum Reject Classification |
| Discriminative | learning | for script recognition |
| Discriminative | learning | Framework with Pairwise Constraints for Video Object Classification, A |
| Discriminative | learning | of apparel features |
| Discriminative | learning | of Contour Fragments for Object Detection |
| Discriminative | learning | of Deep Convolutional Feature Point Descriptors |
| Discriminative | learning | of Dynamical Systems for Motion Tracking |
| Discriminative | learning | of iteration-wise priors for blind deconvolution |
| Discriminative | learning | of Latent Features for Zero-Shot Recognition |
| Discriminative | learning | of Local Image Descriptors |
| Discriminative | learning | of Markov Random Fields for Segmentation of 3D Scan Data |
| Discriminative | learning | of Mixture of Bayesian Network Classifiers for Sequence Classification |
| Discriminative | learning | of relaxed hierarchy for large-scale visual recognition |
| Discriminative | learning | of Two-Dimensional Probabilistic Context-Free Grammars for Mathematical Expression Recognition and Retrieval |
| Discriminative | learning | of visual words for 3D human pose estimation |
| discriminative | learning | technique for mobile landmark recognition, A |
| Discriminative | learning | with Latent Variables for Cluttered Indoor Scene Understanding |
| Discriminative low-rank metric | learning | for face recognition |
| Discriminative Metric | learning | Based Anomaly Detection Method, A |
| Discriminative metric | learning | for multi-view graph partitioning |
| Discriminative Multi-instance Multitask | learning | for 3D Action Recognition |
| Discriminative Multi-Task Sparse | learning | for Robust Visual Tracking Using Conditional Random Field |
| Discriminative Multi-View Privileged Information | learning | for Image Re-Ranking |
| Discriminative Multi-View Subspace Feature | learning | for Action Recognition |
| Discriminative Multiple Kernel | learning | for Hyperspectral Image Classification |
| Discriminative Mutual | learning | for Multi-Target Domain Adaptation |
| Discriminative Nonlinear Analysis Operator | learning | : When Cosparse Model Meets Image Classification |
| Discriminative Object Tracking via Sparse Representation and Online Dictionary | learning | |
| Discriminative Patch Descriptor | learning | With Focal Triplet Loss Function |
| Discriminative Pixel-Pairwise Constraint-Guided Extreme | learning | Machine for Semi-Supervised Hyperspectral Image Classification |
| Discriminative probabilistic kernel | learning | for image retrieval |
| Discriminative Projection | learning | With Adaptive Reversed Graph Embedding for Supervised and Semi-Supervised Dimensionality Reduction |
| Discriminative Prototype | learning | in Open Set Face Recognition |
| Discriminative quadratic feature | learning | for handwritten Chinese character recognition |
| Discriminative Reconstruction for Hyperspectral Anomaly Detection With Spectral | learning | |
| Discriminative Region-based Multi-Label Zero-Shot | learning | |
| Discriminative Relational Representation | learning | for RGB-D Action Recognition |
| Discriminative representation | learning | for person re-identification via multi-loss training |
| Discriminative Reverse Sparse Tracking via Weighted Multitask | learning | |
| Discriminative Robust Deep Dictionary | learning | for Hyperspectral Image Classification |
| Discriminative sampling via deep reinforcement | learning | for kinship verification |
| Discriminative Semantic Parts | learning | for Object Detection |
| Discriminative semantic transitive consistency for cross-modal | learning | |
| Discriminative semi-supervised | learning | of dynamical systems for motion estimation |
| Discriminative Semi-Supervised | learning | Via Deep and Dictionary Representation for Image Classification |
| Discriminative shared transform | learning | for sketch to image matching |
| discriminative SPD feature | learning | approach on Riemannian manifolds for EEG classification, A |
| Discriminative Structure | learning | for Semantic Concept Detection With Graph Embedding |
| Discriminative structure | learning | of hierarchical representations for object detection |
| Discriminative structured dictionary | learning | with hierarchical group sparsity |
| Discriminative structured outputs prediction model and its efficient online | learning | algorithm |
| Discriminative Style | learning | for Cross-Domain Image Captioning |
| Discriminative subspace | learning | via optimization on Riemannian manifold |
| Discriminative subspace | learning | with sparse representation view-based model for robust visual tracking |
| Discriminative tag | learning | on YouTube videos with latent sub-tags |
| Discriminative Tracking by Metric | learning | |
| Discriminative Transfer | learning | for Driving Pattern Recognition in Unlabeled Scenes |
| Discriminative Transfer | learning | for General Image Restoration |
| Discriminative transfer | learning | via local and global structure preservation |
| Discriminative transfer | learning | with sparsity regularization for single-sample face recognition |
| Discriminative Transfer Subspace | learning | via Low-Rank and Sparse Representation |
| Discriminative Unsupervised Feature | learning | with Exemplar Convolutional Neural Networks |
| Discriminative Video Representation | learning | Using Support Vector Classifiers |
| Discriminative Weighting and Subspace | learning | for Ensemble Symbol Recognition |
| Discriminative-Dictionary- | learning | -Based Multilevel Point-Cluster Features for ALS Point-Cloud Classification |
| Discriminatory and Orthogonal Feature | learning | for Noise Robust Keyword Spotting |
| Disease-Image-Specific | learning | for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data |
| Diseases Spread Prediction in Tropical Areas By Machine | learning | Methods Ensembling and Spatial Analysis Techniques |
| Disentangle, Assemble, and Synthesize: Unsupervised | learning | to Disentangle Appearance and Location |
| Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive | learning | |
| Disentangled Contour | learning | for Quadrilateral Text Detection |
| Disentangled Feature Based Adversarial | learning | for Facial Expression Recognition |
| Disentangled Feature | learning | Network and a Comprehensive Benchmark for Vehicle Re-Identification |
| Disentangled Multimodal Representation | learning | for Recommendation |
| Disentangled representation | learning | and residual GAN for age-invariant face verification |
| Disentangled Representation | learning | Based Multidomain Stain Normalization For Histological Images |
| Disentangled Representation | learning | for 3D Face Shape |
| Disentangled Representation | learning | for Controllable Image Synthesis: An Information-Theoretic Perspective |
| Disentangled Representation | learning | for Controllable Person Image Generation |
| Disentangled Representation | learning | for Cross-Modal Biometric Matching |
| Disentangled Representation | learning | for Deep MR To CT Synthesis Using Unpaired Data |
| Disentangled Representation | learning | for OCTA Vessel Segmentation With Limited Training Data |
| Disentangled Representation | learning | for Recommendation |
| Disentangled Representation | learning | for Unsupervised Neural Quantization |
| Disentangled Representation | learning | GAN for Pose-Invariant Face Recognition |
| Disentangled representation | learning | GANs for generalized and stable font fusion network |
| Disentangled Representation | learning | of Makeup Portraits in the Wild |
| Disentangled Representation with Dual-stage Feature | learning | for Face Anti-spoofing |
| Disentangled3D: | learning | a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images |
| Disentangling Semantic-to-Visual Confusion for Zero-Shot | learning | |
| Disentangling Spatial and Temporal | learning | for Efficient Image-to-Video Transfer Learning |
| Disentangling Spatial and Temporal | learning | for Efficient Image-to-Video Transfer Learning |
| DISeR: Designing Imaging Systems with Reinforcement | learning | |
| Disjoint Multi-task | learning | Between Heterogeneous Human-Centric Tasks |
| DISP6D: Disentangled Implicit Shape and Pose | learning | for Scalable 6D Pose Estimation |
| Disposable Transfer | learning | for Selective Source Task Unlearning |
| DispVoxNets: Non-Rigid Point Set Alignment with Supervised | learning | Proxies |
| Dissecting Deep Metric | learning | Losses for Image-Text Retrieval |
| Dissimilarity | learning | for nominal data |
| Dissimilarity-Based | learning | from Imbalanced Data with Small Disjuncts and Noise |
| dissimilarity-based multiple instance | learning | approach for protein remote homology detection, A |
| Dist-PU: Positive-Unlabeled | learning | from a Label Distribution Perspective |
| Distance | learning | Based on Convex Clustering |
| Distance | learning | for Similarity Estimation |
| Distance metric | learning | and feature combination for shape-based 3D model retrieval |
| distance metric | learning | based summarization system for nursery school surveillance video, A |
| Distance metric | learning | by knowledge embedding |
| Distance metric | learning | by minimal distance maximization |
| Distance Metric | learning | by Optimization on the Stiefel Manifold |
| Distance metric | learning | for pattern recognition |
| Distance metric | learning | for soft subspace clustering in composite kernel space |
| Distance Metric | learning | via Iterated Support Vector Machines |
| Distance metric | learning | with the Universum |
| Distance metric-based | learning | for long-tail object detection |
| Distance-based positive and unlabeled | learning | for ranking |
| Distance-Dependent Metric | learning | |
| Distantly Supervised Lifelong | learning | for Large-Scale Social Media Sentiment Analysis |
| DistgEPIT: Enhanced Disparity | learning | for Light Field Image Super-Resolution |
| Distill Knowledge From NRSfM for Weakly Supervised 3D Pose | learning | |
| Distill on the Go: Online knowledge distillation in self-supervised | learning | |
| Distillation Multiple Choice | learning | for Multimodal Action Recognition |
| Distilled Reverse Attention Network for Open-world Compositional Zero-Shot | learning | |
| Distilling Audio-Visual Knowledge by Compositional Contrastive | learning | |
| Distilling Causal Effect of Data in Class-Incremental | learning | |
| Distilling from Similar Tasks for Transfer | learning | on a Budget |
| Distilling the Undistillable: | learning | from a Nasty Teacher |
| Distinguishing Unseen from Seen for Generalized Zero-shot | learning | |
| DistInit: | learning | Video Representations Without a Single Labeled Video |
| Distort-and-Recover: Color Enhancement Using Deep Reinforcement | learning | |
| Distortion-Aware Multi-Task | learning | Framework for Fractional Interpolation in Video Coding, A |
| Distracted driver classification using deep | learning | |
| Distractor-aware discrimination | learning | for online multiple object tracking |
| Distributed Active | learning | for Image Recognition |
| distributed algorithm for graph semi-supervised | learning | , A |
| Distributed Compressed Video Sensing with Joint Optimization of Dictionary | learning | and l1-Analysis Based Reconstruction |
| distributed context-free grammars | learning | algorithm and its application in video classification, A |
| Distributed cross-media multiple binary subspace | learning | |
| Distributed Dictionary | learning | for Sparse Representation in Sensor Networks |
| Distributed EM | learning | for Appearance Based Multi-Camera Tracking |
| Distributed Event-Triggered Iterative | learning | Control for Multiple High-Speed Trains With Switching Topologies: A Data-Driven Approach |
| Distributed | learning | and Inference With Compressed Images |
| Distributed | learning | Control for High-Speed Trains Subject to Operation Safety Constraints |
| Distributed | learning | for Vehicle Routing Decision in Software Defined Internet of Vehicles |
| Distributed | learning | of texture classification |
| Distributed | learning | with bagging-like performance |
| Distributed | learning | With Time Correlated Information |
| Distributed Microphones Speech Separation by | learning | Spatial Information With Recurrent Neural Network |
| Distributed Model-Free Algorithm for Multi-Hop Ride-Sharing Using Deep Reinforcement | learning | , A |
| Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching Using Deep Reinforcement | learning | , A |
| Distributed Multi-Agent Reinforcement | learning | With Graph Decomposition Approach for Large-Scale Adaptive Traffic Signal Control, A |
| Distributed Multiagent Coordinated | learning | for Autonomous Driving in Highways Based on Dynamic Coordination Graphs |
| Distributed One-Class | learning | |
| distributed online | learning | tracking algorithm, A |
| Distributed particle filter tracking with online multiple instance | learning | in a camera sensor network |
| Distributed predictive cruise control based on reinforcement | learning | and validation on microscopic traffic simulation |
| Distributed recursive | learning | for shape recognition through multiscale trees |
| Distributed representation | learning | for knowledge graphs with entity descriptions |
| Distributed Robust | learning | -Based Backstepping Control Aided With Neurodynamics for Consensus Formation Tracking of Underwater Vessels |
| Distributed Signal Control of Arterial Corridors Using Multi-Agent Deep Reinforcement | learning | |
| Distributed Training and Inference of Deep | learning | Models for Multi-Modal Land Cover Classification |
| Distributed Variational Representation | learning | |
| Distributing extreme | learning | machines with Apache Spark for NetFlow-based malware activity detection |
| Distribution Modeling and Factor Correlation Analysis of Landslides in the Large Fault Zone of the Western Qinling Mountains: A Machine | learning | Algorithm |
| Distribution probability-based self-adaption metric | learning | for person re-identification |
| Distribution regularized self-supervised | learning | for domain adaptation of semantic segmentation |
| Distribution Unified and Probability Space Aligned Teacher-Student | learning | for Imbalanced Visual Recognition |
| Distribution-Consistent Modal Recovering for Incomplete Multimodal | learning | |
| Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation | learning | |
| Distribution-sensitive | learning | for imbalanced datasets |
| Distributional and spatial-temporal robust representation | learning | for transportation activity recognition |
| Distributional Robustness Loss for Long-tail | learning | |
| Distributionally Robust Memory Evolution With Generalized Divergence for Continual | learning | |
| Disturbed Augmentation Invariance for Unsupervised Visual Representation | learning | |
| DisUnknown: Distilling Unknown Factors for Disentanglement | learning | |
| DITAN: A deep- | learning | domain agnostic framework for detection and interpretation of temporally-based multivariate ANomalies |
| Diva: Diverse Visual Feature Aggregation for Deep Metric | learning | |
| Divergent Stereo for Robot Navigation: | learning | from Bees |
| Diverse Ensemble Deep | learning | Method for Short-Term Traffic Flow Prediction Based on Spatiotemporal Correlations, A |
| Diverse Expected Gradient Active | learning | for Relative Attributes |
| Diverse Feature | learning | Network With Attention Suppression and Part Level Background Suppression for Person Re-Identification |
| Diversified dictionaries for multi-instance | learning | |
| Diversify and Match: A Domain Adaptive Representation | learning | Paradigm for Object Detection |
| Diversity regularized metric | learning | for person re-identification |
| Diversity-Based Ensemble with Sample Weight | learning | |
| Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot | learning | |
| Diversity-driven | learning | for multimodal image retrieval with relevance feedback |
| Diversity-induced weighted classifier ensemble | learning | |
| Diversity-Promoting Deep Structural Metric | learning | for Remote Sensing Scene Classification |
| Divide and Adapt: Active Domain Adaptation via Customized | learning | |
| Divide and Conquer the Embedding Space for Metric | learning | |
| Divide and Contrast: Self-supervised | learning | from Uncurated Data |
| Divide-and-Assemble: | learning | Block-wise Memory for Unsupervised Anomaly Detection |
| DJAM: Distributed Jacobi Asynchronous Method for | learning | Personal Models |
| DKT: Diverse Knowledge Transfer Transformer for Class Incremental | learning | |
| DLA-Net: | learning | Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds |
| DLCFT: Deep Linear Continual Fine-Tuning for General Incremental | learning | |
| DLD-SLAM: RGB-D Visual Simultaneous Localisation and Mapping in Indoor Dynamic Environments Based on Deep | learning | |
| DLT-Net: deep | learning | transmittance network for single image haze removal |
| DLTIF: Deep | learning | -Driven Cyber Threat Intelligence Modeling and Identification Framework in IoT-Enabled Maritime Transportation Systems |
| DLTTA: Dynamic | learning | Rate for Test-Time Adaptation on Cross-Domain Medical Images |
| DMH-CL: Dynamic Model Hardness Based Curriculum | learning | for Complex Pose Estimation |
| DML-GANR: Deep Metric | learning | With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval |
| DMRNet++: | learning | Discriminative Features With Decoupled Networks and Enriched Pairs for One-Step Person Search |
| DMT: Dynamic mutual training for semi-supervised | learning | |
| DnA: Improving Few-Shot Transfer | learning | with Low-Rank Decomposition and Alignment |
| Do all roads lead to Rome? Studying distance measures in the context of machine | learning | |
| Do Deep- | learning | Saliency Models Really Model Saliency? |
| Do Different Deep Metric | learning | Losses Lead to Similar Learned Features? |
| Do Gradient Inversion Attacks Make Federated | learning | Unsafe? |
| Do Pre-trained Models Benefit Equally in Continual | learning | ? |
| DOA and Range Estimation for FDA-MIMO Radar with Sparse Bayesian | learning | |
| DOA Estimation Method Based on Unsupervised | learning | Network With Threshold Capon Spectrum Weighted Penalty |
| Document image and zone classification through incremental | learning | |
| Document Image Classification and Labeling Using Multiple Instance | learning | |
| Document Image Classification with Intra-Domain Transfer | learning | and Stacked Generalization of Deep Convolutional Neural Networks |
| Document Language Classification: Hierarchical Model with Deep | learning | Approach |
| Document Shadow Removal with Foreground Detection | learning | From Fully Synthetic Images |
| Documents Counterfeit Detection Through a Deep | learning | Approach |
| DoDNet: | learning | to Segment Multi-Organ and Tumors from Multiple Partially Labeled Datasets |
| Does explainable machine | learning | uncover the black box in vision applications? |
| Does | learning | Specific Features for Related Parts Help Human Pose Estimation? |
| Does Visual Self-Supervision Improve | learning | of Speech Representations for Emotion Recognition? |
| Dofnet: Depth of Field Difference | learning | for Detecting Image Forgery |
| domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary | learning | , A |
| Domain Adaptation by Class Centroid Matching and Local Manifold Self- | learning | |
| Domain Adaptation for Food Intake Classification With Teacher/Student | learning | |
| Domain Adaptation Meets Zero-Shot | learning | : An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation |
| Domain Adaptation-Based Deep | learning | for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images |
| Domain Adapted Multitask | learning | for Segmenting Amoeboid Cells in Microscopy |
| Domain Adapting Ability of Self-Supervised | learning | for Face Recognition |
| Domain Adaption, Cross-Domain, | learning | , Re-Identification Issues |
| Domain Adaptive Dictionary | learning | |
| Domain Adaptive Ensemble | learning | |
| Domain Adaptive Few-Shot Open-Set | learning | |
| Domain adaptive | learning | for document layout analysis and object detection using classifier alignment mechanism |
| Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial | learning | |
| Domain adaptive representation | learning | for facial action unit recognition |
| Domain Adaptive Self-Taught | learning | for Heterogeneous Face Recognition |
| Domain Adaptive Transfer | learning | on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization |
| Domain Adversarial | learning | Towards Underwater Image Enhancement |
| Domain Agnostic Feature | learning | for Image and Video Based Face Anti-spoofing |
| Domain Discrepancy Elimination and Mean Face Representation | learning | for NIR-VIS Face Recognition |
| Domain Generalization with Adversarial Feature | learning | |
| Domain generalized federated | learning | for Person Re-identification |
| Domain Generalized Person Re-Identification via Cross-Domain Episodic | learning | |
| Domain Generalized RPPG Network: Disentangled Feature | learning | with Domain Permutation and Domain Augmentation |
| Domain Invariant and Class Discriminative Feature | learning | for Visual Domain Adaptation |
| Domain Invariant Feature | learning | Based on Cluster Contrastive Learning for Intelligence Fault Diagnosis With Limited Labeled Data |
| Domain Invariant Feature | learning | Based on Cluster Contrastive Learning for Intelligence Fault Diagnosis With Limited Labeled Data |
| Domain Invariant Masked Autoencoders for Self-supervised | learning | from Multi-domains |
| Domain Invariant Subspace | learning | for Cross-Modal Retrieval |
| Domain Invariant Vision Transformer | learning | for Face Anti-spoofing |
| Domain Knowledge Powered Deep | learning | for Breast Cancer Diagnosis Based on Contrast-Enhanced Ultrasound Videos |
| Domain | learning | joint with semantic adaptation for human action recognition |
| Domain | learning | using Choquet integral-based morphological shared weight neural networks |
| Domain Transfer | learning | for Hyperspectral Image Super-Resolution |
| Domain Transfer Multiple Kernel | learning | |
| Domain-Adaptive Discriminative One-Shot | learning | of Gestures |
| Domain-Adaptive Few-Shot | learning | |
| Domain-Agnostic | learning | With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation |
| Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot | learning | |
| Domain-Based Semi-Supervised | learning | : Exploiting Label Invariance in Unlabeled Data from Distributed Cameras |
| Domain-Guided Machine | learning | for Remotely Sensed In-Season Crop Growth Estimation |
| Domain-Incremental Continual | learning | for Mitigating Bias in Facial Expression and Action Unit Recognition |
| Domain-incremental | learning | without forgetting based on random vector functional link networks |
| Domain-invariant adversarial | learning | with conditional distribution alignment for unsupervised domain adaptation |
| Domain-invariant attention network for transfer | learning | between cross-scene hyperspectral images |
| Domain-Oriented Semantic Embedding for Zero-Shot | learning | |
| Domain-Specific Priors and Meta | learning | for Few-Shot First-Person Action Recognition |
| DomainFeat: | learning | Local Features With Domain Adaptation |
| Dominant subject recognition by Bayesian | learning | |
| Don't Judge an Object by Its Context: | learning | to Overcome Contextual Bias |
| Doodle It Yourself: Class Incremental | learning | by Drawing a Few Sketches |
| Doppelganger Mining for Face Representation | learning | |
| Doppelgangers: | learning | to Disambiguate Images of Similar Structures |
| DOPS: | learning | to Detect 3D Objects and Predict Their 3D Shapes |
| Dose-Blind Denoising With Deep | learning | in Cardiac Spect |
| DotSCN: Group Re-Identification via Domain-Transferred Single and Couple Representation | learning | |
| Double Complete D-LBP with Extreme | learning | Machine Auto-Encoder and Cascade Forest for Facial Expression Analysis |
| Double Graph Regularized Double Dictionary | learning | for Image Classification |
| Double iterative optimal dictionary | learning | -based SAR image filtering method |
| Double Weight-Based SAR and Infrared Sensor Fusion for Automatic Ground Target Recognition with Deep | learning | |
| Double-bootstrapping source data selection for instance-based transfer | learning | |
| Double-Deep Spatio-Angular | learning | Framework for Light Field-Based Face Recognition, A |
| Double-Stream Position | learning | Transformer Network for Image Captioning |
| Double-Task Deep Q- | learning | with Multiple Views |
| DoubleMatch: Improving Semi-Supervised | learning | with Self-Supervision |
| Doubly contrastive representation | learning | for federated image recognition |
| Douglas-Rachford Networks: | learning | Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution |
| DOVE: | learning | Deformable 3D Objects by Watching Videos |
| Downsampled Imaging Geometric Modeling for Accurate CT Reconstruction via Deep | learning | |
| Downscaling Aster Land Surface Temperature over Urban Areas with Machine | learning | -Based Area-To-Point Regression Kriging |
| Downscaling Building Energy Consumption Carbon Emissions by Machine | learning | |
| Downscaling GRACE TWSA Data into High-Resolution Groundwater Level Anomaly Using Machine | learning | -Based Models in a Glacial Aquifer System |
| Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine | learning | Methods |
| Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine | learning | Approaches |
| Downscaling Snow Depth Mapping by Fusion of Microwave and Optical Remote-Sensing Data Based on Deep | learning | |
| DP-Net: | learning | Discriminative Parts for Image Recognition |
| DPF: | learning | Dense Prediction Fields with Weak Supervision |
| DPGN: Distribution Propagation Graph Network for Few-Shot | learning | |
| DQ-GAT: Towards Safe and Efficient Autonomous Driving With Deep Q- | learning | and Graph Attention Networks |
| DR-FER: Discriminative and Robust Representation | learning | for Facial Expression Recognition |
| DRCDN: | learning | deep residual convolutional dehazing networks |
| DreamNet: A Deep Riemannian Manifold Network for SPD Matrix | learning | |
| Dress With Style: | learning | Style From Joint Deep Embedding of Clothing Styles and Body Shapes |
| Drift-Proof Tracking With Deep Reinforcement | learning | |
| Drifting-proof Framework for Tracking and Online Appearance | learning | , A |
| DRINet: A Dual-Representation Iterative | learning | Network for Point Cloud Segmentation |
| Drinking From a Firehose: Continual | learning | With Web-Scale Natural Language |
| Driver activity recognition by | learning | spatiotemporal features of pose and human object interaction |
| Driver Anomaly Detection: A Dataset and Contrastive | learning | Approach |
| Driver Distraction Detection Using Semi-Supervised Machine | learning | |
| Driver Drowsiness Detection System Based on Feature Representation | learning | Using Various Deep Networks |
| Driver Drowsiness Detection Using Condition-Adaptive Representation | learning | Framework |
| Driver identification in intelligent vehicle systems using machine | learning | algorithms |
| Driver identification through vehicular CAN bus data: An ensemble deep | learning | approach |
| Driver Lane-Changing Intention Recognition Based on Stacking Ensemble | learning | in the Connected Environment: A Driving Simulator Study |
| Driver Pose Estimation Using Recurrent Lightweight Network and Virtual Data Augmented Transfer | learning | |
| Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement | learning | |
| Driving Hierarchy Construction via Supervised | learning | : Application to Osteo-Articular Medical Images Database |
| Driving Maneuver Detection via Sequence | learning | from Vehicle Signals and Video Images |
| Driving maneuver early detection via sequence | learning | from vehicle signals and video images |
| Driving me around the bend: | learning | to drive from visual gist |
| Driving policies of V2X autonomous vehicles based on reinforcement | learning | methods |
| Driving Safety Monitoring Using Semisupervised | learning | on Time Series Data |
| Driving School System: | learning | Basic Driving Skills From a Teacher in a Real Car, The |
| Driving Stress Estimation in Physiological Signals Based on Hierarchical Clustering and Multi-View Intact Space | learning | |
| Driving-Behavior-Aware Optimal Energy Management Strategy for Multi-Source Fuel Cell Hybrid Electric Vehicles Based on Adaptive Soft Deep-Reinforcement | learning | |
| DRLE: Decentralized Reinforcement | learning | at the Edge for Traffic Light Control in the IoV |
| Drone Image Segmentation Using Machine and Deep | learning | for Mapping Raised Bog Vegetation Communities |
| Drone path optimization in complex environment based on Q- | learning | algorithm |
| Drone-Based Bathymetry Modeling for Mountainous Shallow Rivers in Taiwan Using Machine | learning | |
| Drone-Based Car Counting via Density Map | learning | |
| Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware | learning | |
| Drone-View Building Identification by Cross-View Visual | learning | and Relative Spatial Estimation |
| Drop to Adapt: | learning | Discriminative Features for Unsupervised Domain Adaptation |
| Dropout as an Implicit Gating Mechanism For Continual | learning | |
| Drought Forecasting Based On Machine | learning | Of Remote Sensing And Long-range Forecast Data |
| Drought Monitoring and Performance Evaluation Based on Machine | learning | Fusion of Multi-Source Remote Sensing Drought Factors |
| DRPL: Deep Regression Pair | learning | for Multi-Focus Image Fusion |
| DSC-PoseNet: | learning | 6DoF Object Pose Estimation via Dual-scale Consistency |
| DSG-PL: ROI Extraction Based on Dual Saliency Guided Progressive | learning | for Weakly Labeled Remote Sensing Images |
| DSNet: Deep and Shallow Feature | learning | for Efficient Visual Tracking |
| DSNet: Joint Semantic | learning | for Object Detection in Inclement Weather Conditions |
| DSOD: | learning | Deeply Supervised Object Detectors from Scratch |
| DSORL: Data Source Optimization With Reinforcement | learning | Scheme for Vehicular Named Data Networks |
| DSPNet: Deep | learning | -Enabled Blind Reduction of Speckle Noise |
| DSPOTE: Density-induced Selection Probability-based Oversampling TEchnique for Imbalanced | learning | |
| DSSNet: A Deep Sequential Sleep Network for Self-Supervised Representation | learning | Based on Single-Channel EEG |
| DTFD-MIL: Double-Tier Feature Distillation Multiple Instance | learning | for Histopathology Whole Slide Image Classification |
| DU-CG-STAP Method Based on Sparse Recovery and Unsupervised | learning | for Airborne Radar Clutter Suppression |
| Du2net: | learning | Depth Estimation from Dual-cameras and Dual-pixels |
| Dual Activation Function-Based Extreme | learning | Machine (ELM) for Estimating Grapevine Berry Yield and Quality |
| Dual Adaptive Representation Alignment for Cross-Domain Few-Shot | learning | |
| Dual Adversarial Network for Deep Active | learning | |
| Dual Attention Multi-Instance Deep | learning | for Alzheimer's Disease Diagnosis With Structural MRI |
| Dual Back-Projection-Based Internal | learning | for Blind Super-Resolution |
| Dual Bipartite Graph | learning | : A General Approach for Domain Adaptive Object Detection |
| Dual Branch Multi-Level Semantic | learning | for Few-Shot Segmentation |
| Dual Circle Contrastive | learning | -Based Blind Image Super-Resolution |
| Dual Compensation Residual Networks for Class Imbalanced | learning | |
| Dual Contrastive | learning | for Unsupervised Image-to-Image Translation |
| Dual Contrastive | learning | with Anatomical Auxiliary Supervision for Few-Shot Medical Image Segmentation |
| Dual Contrastive Prediction for Incomplete Multi-View Representation | learning | |
| Dual Cross-Attention | learning | for Fine-Grained Visual Categorization and Object Re-Identification |
| Dual Discriminative Low-Rank Projection | learning | for Robust Image Classification |
| Dual Embedding | learning | for Video Instance Segmentation |
| Dual Face Alignment | learning | Network for NIR-VIS Face Recognition |
| Dual Fuzzy Hypergraph Regularized Multi-label | learning | for Protein Subcellular Location Prediction |
| Dual global-aware propagation for few-shot | learning | |
| Dual | learning | based compression noise reduction in the texture domain |
| Dual | learning | for Facial Action Unit Detection Under Nonfull Annotation |
| Dual | learning | for Joint Facial Landmark Detection and Action Unit Recognition |
| Dual | learning | with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval |
| Dual | learning | -Based Siamese Framework for Change Detection Using Bi-Temporal VHR Optical Remote Sensing Images |
| Dual Low-Rank Decompositions for Robust Cross-View | learning | |
| Dual many-to-one-encoder-based transfer | learning | for cross-dataset human action recognition |
| Dual Meta- | learning | with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan |
| Dual Mixup Regularized | learning | for Adversarial Domain Adaptation |
| Dual Modality Collaborative | learning | for Cross-Source Remote Sensing Retrieval |
| Dual Mutual | learning | for Cross-Modality Person Re-Identification |
| Dual Noise Elimination and Dynamic Label Correlation Guided Partial Multi-Label | learning | |
| Dual Path | learning | for Domain Adaptation of Semantic Segmentation |
| Dual Prior | learning | for Blind and Blended Image Restoration |
| Dual Pursuit for Subspace | learning | |
| Dual Reinforcement | learning | Framework for Weakly Supervised Phrase Grounding, A |
| Dual similarity pre-training and domain difference encouragement | learning | for vehicle re-identification in the wild |
| Dual space latent representation | learning | for unsupervised feature selection |
| Dual Spoof Disentanglement Generation for Face Anti-Spoofing With Depth Uncertainty | learning | |
| Dual Stream Meta | learning | for Road Surface Classification and Riding Event Detection on Shared Bikes |
| Dual Student: Breaking the Limits of the Teacher in Semi-Supervised | learning | |
| Dual subspace discriminative projection | learning | |
| Dual subspace manifold | learning | based on GCN for intensity-invariant facial expression recognition |
| Dual Super-Resolution | learning | for Semantic Segmentation |
| Dual Task | learning | by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches |
| Dual Temperature Helps Contrastive | learning | Without Many Negative Samples: Towards Understanding and Simplifying MoCo |
| Dual Transfer | learning | for Event-based End-task Prediction via Pluggable Event to Image Translation |
| Dual-Agent Deep Reinforcement | learning | for Deformable Face Tracking |
| Dual-AI: Dual-path Actor Interaction | learning | for Group Activity Recognition |
| Dual-Aligned Feature Confusion Alleviation for Generalized Zero-Shot | learning | |
| Dual-Attention | learning | Network With Word and Sentence Embedding for Medical Visual Question Answering, A |
| Dual-Branch Extraction and Classification Method Under Limited Samples of Hyperspectral Images Based on Deep | learning | , A |
| Dual-Branch Hybrid | learning | Network for Unbiased Scene Graph Generation |
| Dual-Branch-AttentionNet: A Novel Deep- | learning | -Based Spatial-Spectral Attention Methodology for Hyperspectral Data Analysis |
| Dual-channel embedding | learning | model for partially labeled attributed networks |
| Dual-channel graph contrastive | learning | for self-supervised graph-level representation learning |
| Dual-channel graph contrastive | learning | for self-supervised graph-level representation learning |
| Dual-Domain Self-supervised | learning | and Model Adaption for Deep Compressive Imaging |
| Dual-Evidential | learning | for Weakly-supervised Temporal Action Localization |
| Dual-Force Metric | learning | for Robust Distracter-Resistant Tracker |
| Dual-level contrastive | learning | for unsupervised person re-identification |
| Dual-Memory Model for Incremental | learning | : The Handwriting Recognition Use Case |
| Dual-modality spatiotemporal feature | learning | for spontaneous facial expression recognition in e-learning using hybrid deep neural network |
| Dual-modality spatiotemporal feature | learning | for spontaneous facial expression recognition in e-learning using hybrid deep neural network |
| Dual-Mode Vehicle Motion Pattern | learning | for High Performance Road Traffic Anomaly Detection |
| Dual-Path Adversarial | learning | for Fully Convolutional Network (FCN)-Based Medical Image Segmentation |
| Dual-Stream Contrastive | learning | for Compositional Zero-Shot Recognition |
| Dual-stream Multiple Instance | learning | Network for Whole Slide Image Classification with Self-supervised Contrastive Learning |
| Dual-stream Multiple Instance | learning | Network for Whole Slide Image Classification with Self-supervised Contrastive Learning |
| Dual-Task Network for Terrace and Ridge Extraction: Automatic Terrace Extraction via Multi-Task | learning | |
| Dual-Teacher Class-Incremental | learning | With Data-Free Generative Replay |
| Dual-track spatio-temporal | learning | for urban flow prediction with adaptive normalization |
| Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature | learning | |
| Dual-Uncertainty Guided Cycle-Consistent Network for Zero-Shot | learning | |
| Dual-View 3D Reconstruction via | learning | Correspondence and Dependency of Point Cloud Regions |
| Dual-Weighted Kernel Extreme | learning | Machine for Hyperspectral Imagery Classification |
| DualAST: Dual Style- | learning | Networks for Artistic Style Transfer |
| DualGAN: Unsupervised Dual | learning | for Image-to-Image Translation |
| Duality Diagram Similarity: A Generic Framework for Initialization Selection in Task Transfer | learning | |
| DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined | learning | of Pose Consistency |
| DualPrompt: Complementary Prompting for Rehearsal-Free Continual | learning | |
| DualRC: A Dual-Resolution | learning | Framework With Neighbourhood Consensus for Visual Correspondences |
| DualSR: Zero-Shot Dual | learning | for Real-World Super-Resolution |
| DuDoRNet: | learning | a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior |
| DUPL-VR: Deep Unsupervised Progressive | learning | for Vehicle Re-Identification |
| Duplex Metric | learning | for Image Set Classification |
| DuPLO: A DUal view Point deep | learning | architecture for time series classificatiOn |
| DUT: | learning | Video Stabilization by Simply Watching Unstable Videos |
| DWA-Watermarking Embedding Mechanism for Deep | learning | Models |
| Dyadic transfer | learning | for cross-domain image classification |
| Dynamic 3D Hand Gesture Recognition by | learning | Weighted Depth Motion Maps |
| Dynamic action recognition based on dynemes and Extreme | learning | Machine |
| dynamic approach to | learning | vector quantization, A |
| Dynamic Attentive Graph | learning | for Image Restoration |
| Dynamic background estimation and complementary | learning | for pixel-wise foreground/background segmentation |
| Dynamic Background Subtraction Using Least Square Adversarial | learning | |
| Dynamic batch mode active | learning | |
| Dynamic Classifier Chains for Multi-label | learning | |
| Dynamic Coarse-to-Fine | learning | for Oriented Tiny Object Detection |
| Dynamic Conceptional Contrastive | learning | for Generalized Category Discovery |
| Dynamic Conditional Imitation | learning | for Autonomous Driving |
| Dynamic Conditional Networks for Few-Shot | learning | |
| Dynamic Confidence Sampling and Label Semantic Guidance | learning | for Domain Adaptive Retrieval |
| dynamic constraint representation approach based on cross-domain dictionary | learning | for expression recognition, A |
| Dynamic contrastive | learning | guided by class confidence and confusion degree for medical image segmentation |
| Dynamic Convolution With Global-Local Information for Session-Invariant Speaker Representation | learning | |
| Dynamic Curriculum | learning | for Great Ape Detection in the Wild |
| Dynamic Curriculum | learning | for Imbalanced Data Classification |
| Dynamic Deep Pixel Distribution | learning | for Background Subtraction |
| Dynamic Deep Reinforcement | learning | -Bayesian Framework for Anomaly Detection, A |
| Dynamic Detection of Forest Change in Hunan Province Based on Sentinel-2 Images and Deep | learning | |
| Dynamic Dual-attentive Aggregation | learning | for Visible-infrared Person Re-identification |
| Dynamic Edge Computation Offloading for Internet of Vehicles With Deep Reinforcement | learning | |
| Dynamic Ensemble Active | learning | : A Non-Stationary Bandit with Expert Advice |
| Dynamic Environments Localization via Dimensions Reduction of Deep | learning | Features |
| Dynamic Event-Triggered Adaptive Neural Output Feedback Control for MSVs Using Composite | learning | |
| Dynamic Face Video Segmentation via Reinforcement | learning | |
| Dynamic Feature | learning | for Partial Face Recognition |
| Dynamic Few-Shot Visual | learning | Without Forgetting |
| Dynamic finite state VQ of colour images using stochastic | learning | |
| Dynamic Forecast of Desert Locust Presence Using Machine | learning | with a Multivariate Time Lag Sliding Window Technique |
| Dynamic Graph Contrastive | learning | via Maximize Temporal Consistency |
| Dynamic graph convolutional networks by semi-supervised contrastive | learning | |
| Dynamic Graph Enhanced Contrastive | learning | for Chest X-Ray Report Generation |
| Dynamic Graph | learning | with Content-guided Spatial-Frequency Relation Reasoning for Deepfake Detection |
| Dynamic graph structure | learning | for multivariate time series forecasting |
| Dynamic hand gesture recognition of sign language using geometric features | learning | |
| Dynamic image reconstruction and synthesis framework using deep | learning | algorithm |
| Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta- | learning | |
| Dynamic | learning | from multiple examples for semantic object segmentation and search |
| Dynamic | learning | of SCRF for Feature Selection and Classification of Hyperspectral Imagery |
| Dynamic | learning | Rate for Neural Networks: A Fixed-Time Stability Approach |
| Dynamic | learning | , Incremental Learning |
| Dynamic | learning | , Incremental Learning |
| Dynamic Loss for Robust | learning | |
| Dynamic Maize Yield Predictions Using Machine | learning | on Multi-Source Data |
| Dynamic manifold Boltzmann optimization based on self-supervised | learning | for human motion estimation |
| Dynamic Metric | learning | with Cross-Level Concept Distillation |
| Dynamic Metric | learning | : Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales |
| Dynamic mode decomposition via dictionary | learning | for foreground modeling in videos |
| Dynamic Model-Agnostic Meta- | learning | for Incremental Few-Shot Learning |
| Dynamic Model-Agnostic Meta- | learning | for Incremental Few-Shot Learning |
| Dynamic Neural Network for Multi-Task | learning | Searching across Diverse Network Topologies |
| Dynamic Objectives | learning | for Facial Expression Recognition |
| Dynamic Order Dispatching With Multiobjective Reward | learning | |
| Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-Resolution Spatio-Temporal Deep | learning | Approach |
| Dynamic Point Cloud Inpainting via Spatial-Temporal Graph | learning | |
| Dynamic Points Agglomeration for Hierarchical Point Sets | learning | |
| Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian | learning | |
| Dynamic Pricing for Differentiated PEV Charging Services Using Deep Reinforcement | learning | |
| Dynamic Programming for Instance Annotation in Multi-Instance Multi-Label | learning | |
| Dynamic Range Compression Self-Adaption Method for SAR Image Based on Deep | learning | |
| Dynamic Range Transformer (DRT): | learning | Enhanced Log-Perceptual Information with Swin-Fourier Convolution Network for HDR Imaging |
| Dynamic Re-weighting for Long-tailed Semi-supervised | learning | |
| Dynamic Residual Classifier for Class Incremental | learning | |
| Dynamic sampling for deep metric | learning | |
| Dynamic Scene Classification: | learning | Motion Descriptors with Slow Features Analysis |
| Dynamic Self-Supervised Teacher-Student Network | learning | |
| Dynamic Spatial-Temporal Representation | learning | for Traffic Flow Prediction |
| Dynamic Spatio-Temporal Specialization | learning | for Fine-Grained Action Recognition |
| Dynamic speed harmonization for mixed traffic flow on the freeway using deep reinforcement | learning | |
| Dynamic Support Network for Few-Shot Class Incremental | learning | |
| Dynamic Task Prioritization for Multitask | learning | |
| Dynamic Texture Classification Using Unsupervised 3D Filter | learning | and Local Binary Encoding |
| Dynamic Texture Recognition via Orthogonal Tensor Dictionary | learning | |
| Dynamic Textures Synthesis as Nonlinear Manifold | learning | and Traversing |
| Dynamic topology and relevance | learning | SOM-based algorithm for image clustering tasks |
| Dynamic traffic signal control using mean field multi-agent reinforcement | learning | in large scale road-networks |
| Dynamic Trees: | learning | to Model Outdoor Scenes |
| Dynamic Unilateral Dual | learning | for Text to Image Synthesis |
| Dynamic User Concept Pattern | learning | Framework for Content-Based Image Retrieval, A |
| Dynamic video segmentation via a novel recursive Bayesian | learning | method |
| Dynamic visual category | learning | |
| Dynamic Voting in Multi-view | learning | for Radiomics Applications |
| Dynamic Weighted | learning | for Unsupervised Domain Adaptation |
| Dynamical ensemble | learning | with model-friendly classifiers for domain adaptation |
| Dynamical Hyperparameter Optimization via Deep Reinforcement | learning | in Tracking |
| Dynamical Textures Modeling via Joint Video Dictionary | learning | |
| Dynamically adaptive adjustment loss function biased towards few-class | learning | |
| Dynamically Visual | learning | for People Identification with Sparsely Distributed Cameras |
| Dynamics of the Burlan and Pomacochas Lakes Using SAR Data in GEE, Machine | learning | Classifiers, and Regression Methods |
| Dynamics-aware loss for | learning | with label noise |
| DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task | learning | |
| DynOcc: | learning | Single-View Depth from Dynamic Occlusion Cues |
| DyTox: Transformers for Continual | learning | with DYnamic TOken eXpansion |
| E-CNNet: Time-reassigned Multisynchrosqueezing transform-based deep | learning | framework for MI-BCI task classification |
| E- | learning | Applications for Urban Modelling and OGC Standards Using Html5 Capabilities |
| E- | learning | In Photogrammetry, Remote Sensing And Spatial Information Science |
| E- | learning | : Best Practice In Photogrammetry, Remote Sensing And Gis - Status And Challenges |
| E2E-VSDL: End-to-end video surveillance-based deep | learning | model to detect and prevent criminal activities |
| E2SRI: | learning | to Super-Resolve Intensity Images From Events |
| EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation | learning | |
| EarlGAN: An enhanced actor-critic reinforcement | learning | agent-driven GAN for de novo drug design |
| Early Action Recognition With Category Exclusion Using Policy-Based Reinforcement | learning | |
| Early breast cancer diagnosis using cogent activation function-based deep | learning | implementation on screened mammograms |
| Early Detection of Bark Beetle Attack Using Remote Sensing and Machine | learning | : A Review |
| Early detection of COVID19 by deep | learning | transfer Model for populations in isolated rural areas |
| Early Detection of Dendroctonus valens Infestation with Machine | learning | Algorithms Based on Hyperspectral Reflectance |
| Early detection of melanoma images using gray level co-occurrence matrix features and machine | learning | techniques for effective clinical diagnosis |
| Early Detection of Wild Rocket Tracheofusariosis Using Hyperspectral Image-Based Machine | learning | |
| Early diagnosis of Alzheimer's disease: A multi-class deep | learning | framework with modified k-sparse autoencoder classification |
| Early Diagnosis of Alzheimer's Disease: A Neuroimaging Study with Deep | learning | Architectures |
| Early Flood Monitoring and Forecasting System Using a Hybrid Machine | learning | -Based Approach |
| Early Labeled and Small Loss Selection Semi-Supervised | learning | Method for Remote Sensing Image Scene Classification |
| Early Season Mapping of Sugarcane by Applying Machine | learning | Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, China |
| Early Visual | learning | |
| Early-Season Crop Identification in the Shiyang River Basin Using a Deep | learning | Algorithm and Time-Series Sentinel-2 Data |
| Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised | learning | Techniques |
| Earth mover's prototypes: A convex | learning | approach for discovering activity patterns in dynamic scenes |
| Earth Observation and Machine | learning | to Meet Sustainable Development Goal 8.7: Mapping Sites Associated with Slavery from Space |
| Earth Observation Satellite Imagery Information Based Decision Support Using Machine | learning | |
| Earthquake-Induced Landslide Susceptibility Assessment Using a Novel Model Based on Gradient Boosting Machine | learning | and Class Balancing Methods |
| EASE: Unsupervised Discriminant Subspace | learning | for Transductive Few-Shot Learning |
| EASE: Unsupervised Discriminant Subspace | learning | for Transductive Few-Shot Learning |
| ECAS-ML: Edge Computing Assisted Adaptation Scheme with Machine | learning | for HTTP Adaptive Streaming |
| ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot | learning | |
| Eco Sustainable Graphic Heritage Drawing for a Contemporary Territories | learning | and the Creating Smart Cities |
| Eco-Driving Assistance System for a Manual Transmission Bus Based on Machine | learning | |
| Ecological Associations between Obesity Prevalence and Neighborhood Determinants Using Spatial Machine | learning | in Chicago, Illinois, USA |
| ECSNet: Spatio-Temporal Feature | learning | for Event Camera |
| Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine | learning | and Time Series Decomposition |
| Edge Detectors Based on | learning | , Neural Nets, etc. |
| Edge Guided GANs With Multi-Scale Contrastive | learning | for Semantic Image Synthesis |
| Edge | learning | for Surveillance Video Uploading Sharing in Public Transport Systems |
| Edge Traffic Flow Detection Scheme Based on Deep | learning | in an Intelligent Transportation System, An |
| Edge-aware Graph Representation | learning | and Reasoning for Face Parsing |
| Edge-Labeling Based Directed Gated Graph Network for Few-Shot | learning | |
| Edge-labeling based modified gated graph network for few-shot | learning | |
| Edge-Labeling Graph Neural Network for Few-Shot | learning | |
| Edge-SiamNet and Edge-TripleNet: New Deep | learning | Models for Handwritten Numeral Recognition |
| EdgeStereo: An Effective Multi-task | learning | Network for Stereo Matching and Edge Detection |
| eDIRICA: Digitizing Cultural Heritage for | learning | , Creativity, and Inclusiveness |
| Editor's Note: Special Issue on Physics-Based Vision Meets Deep | learning | |
| Editorial for special section of video analytics with deep | learning | |
| Editorial for the Special Issue Advanced Artificial Intelligence and Deep | learning | for Remote Sensing |
| Editorial for the Special Issue Advanced Machine | learning | for Time Series Remote Sensing Data Analysis |
| Editorial for the special issue on deep | learning | for precise and efficient object detection |
| Editorial of Special Issue Machine and Deep | learning | for Earth Observation Data Analysis |
| Editorial of the special issue DLHI: Deep | learning | in medical imaging and healthinformatics |
| Editorial of the Special Issue on Multi-instance | learning | in Pattern Recognition and Vision |
| Editorial paper for pattern recognition letters VSI on multi-view representation | learning | and multi-modal information representation |
| Editorial special issue on multiple-task | learning | for big data |
| Editorial to special issue on cross-media | learning | for visual question answering |
| Editorial: Deep | learning | for Computer Vision |
| Editorial: | learning | With Fewer Labels in Computer Vision |
| Editorial: Special Issue on Deep | learning | for Face Analysis |
| Editorial: Special Issue on Machine Vision with Deep | learning | |
| Editorial: Special Issue on Unsupervised Feature | learning | for Vision |
| EDMC: Efficient Multi-View Clustering via Cluster and Instance Space | learning | |
| Education, | learning | Issues |
| EEG Based Visual Classification With Multi-Feature Joint | learning | |
| EEG-Based Driver Mental Fatigue Recognition in COVID-19 Scenario Using a Semi-Supervised Multi-View Embedding | learning | Model |
| EEG-Based Emotional Video Classification via | learning | Connectivity Structure |
| EEG-Video Emotion-Based Summarization: | learning | With EEG Auxiliary Signals |
| EESSO: Exploiting Extreme and Smooth Signals via Omni-frequency | learning | for Text-based Person Retrieval |
| Effect of Attention Mechanism in Deep | learning | -Based Remote Sensing Image Processing: A Systematic Literature Review |
| effect of image recognition traffic prediction method under deep | learning | and naive Bayes algorithm on freeway traffic safety, The |
| Effect of Multi-step Methods on Overestimation in Deep Reinforcement | learning | , The |
| Effect of Negative Samples on the Accuracy of Water Body Extraction Using Deep | learning | Networks, The |
| Effect of Parameter Optimization on Classical and | learning | -based Image Matching Methods |
| Effect of Routing Constraints on | learning | Efficiency of Destination Recommender Systems in Mobility-on-Demand Services |
| effect of the inhibition-compensation | learning | scheme on n-tuple based classifier performance, The |
| Effect of the | learning | algorithm on the accuracy of sub-pixel land use classifications with multilayer perceptrons |
| Effect of the Synergetic Use of Sentinel-1, Sentinel-2, LiDAR and Derived Data in Land Cover Classification of a Semiarid Mediterranean Area Using Machine | learning | Algorithms |
| Effect of Visual of a Courseware towards Pre-University Students' | learning | in Literature, The |
| Effective Algorithm for Object Detection Based on Deep | learning | , An |
| Effective Approach for Neural Network Training Based on Comprehensive | learning | , An |
| Effective Charging Planning Based on Deep Reinforcement | learning | for Electric Vehicles |
| Effective Cloud Detection Method for Gaofen-5 Images via Deep | learning | , An |
| effective deep | learning | adversarial defense method based on spatial structural constraints in embedding space, An |
| Effective Deep | learning | Based Scheme for Network Intrusion Detection, An |
| Effective Deep | learning | for Semantic Segmentation Based Bleeding Zone Detection in Capsule Endoscopy Images |
| effective deep | learning | model for grading abnormalities in retinal fundus images using variational auto-encoders, An |
| Effective Deep- | learning | -Based Depth Data Analysis on Low-Power Hardware for Supporting Elderly Care |
| effective example-based | learning | method for denoising of medical images corrupted by heavy Gaussian noise and poisson noise, An |
| Effective extraction of ventricles and myocardium objects from cardiac magnetic resonance images with a multi-task | learning | U-Net |
| Effective Gaussian Mixture | learning | for Video Background Subtraction |
| Effective Hierarchical Resolution | learning | Method for Low-Resolution Targets Tracking, An |
| Effective | learning | -based illuminant estimation using simple features |
| effective model for the iris regional characteristics and classification using deep | learning | alex network, An |
| Effective semi-supervised | learning | for structured data using Embedding GANs |
| Effective semi-supervised | learning | strategies for automatic sentence segmentation |
| Effective transductive | learning | via objective model selection |
| Effective Transfer | learning | Algorithm in Spiking Neural Networks |
| Effective Video Scene Analysis for a Nanosatellite Based on an Onboard Deep | learning | Method |
| Effectiveness of Data Augmentation for Mature White Blood Cell Image Classification in Deep | learning | : Selection of an Optimal Technique for Hematological Morphology Recognition, The |
| Effectiveness of Innovate Educational Practices with Flipped | learning | and Remote Sensing in Earth and Environmental Sciences: An Exploratory Case Study |
| Effectiveness of Semi-Supervised | learning | and Multi-Source Data in Detailed Urban Landuse Mapping with a Few Labeled Samples |
| Effectiveness of Using a Pretrained Deep | learning | Neural Networks for Object Classification in Underwater Video, The |
| Effects of Auxiliary Knowledge on Continual | learning | |
| Effects of Image Presentation Highlighting and Accuracy on Target Category | learning | |
| Effects of Training Set Size on Supervised Machine- | learning | Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data |
| Efficacy of Bayesian Neural Networks in Active | learning | |
| Efficiency of | learning | with imperfect supervision |
| Efficient 3-D Scene Prefetching From | learning | User Access Patterns |
| Efficient 3D dental identification via signed feature histogram and | learning | keypoint detection |
| Efficient 3D Point Cloud Feature | learning | for Large-Scale Place Recognition |
| Efficient 3D Scene Semantic Segmentation via Active | learning | on Rendered 2D Images |
| Efficient Acquisition and | learning | of Fluorescence Microscope Data Models |
| Efficient Action Detection in Untrimmed Videos via Multi-task | learning | |
| Efficient Adaptive Online | learning | via Frequent Directions |
| Efficient Algorithm for Convolutional Dictionary | learning | via Accelerated Proximal Gradient Consensus |
| Efficient Algorithm for | learning | Distances that Obey the Triangle Inequality, An |
| efficient algorithm for | learning | invariance in adaptive classifiers, An |
| Efficient and accurate | learning | of Bayesian networks using chi-squared independence tests |
| Efficient and Explainable Ensemble | learning | Model for Asphalt Pavement Condition Prediction Based on LTPP Dataset, An |
| Efficient and Private Scheduling of Wireless Electric Vehicles Charging Using Reinforcement | learning | |
| Efficient and Robust | learning | for Sustainable and Reacquisition-Enabled Hand Tracking |
| Efficient and Robust Semi-supervised | learning | Over a Sparse-Regularized Graph |
| Efficient and Stable Algorithm for | learning | Rotations, An |
| Efficient Annotation and | learning | for 3D Hand Pose Estimation: A Survey |
| Efficient Approach Based on Privacy-Preserving Deep | learning | for Satellite Image Classification, An |
| efficient approach for facial action unit intensity detection using distance metric | learning | based on cosine similarity, An |
| efficient approach for scene categorization based on discriminative codebook | learning | in bag-of-words framework, An |
| efficient approach to | learning | inhomogeneous Gibbs model, An |
| Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep | learning | |
| Efficient breast cancer diagnosis using multi-level progressive feature aggregation based deep transfer | learning | system |
| Efficient CityCam-to-Edge Cooperative | learning | for Vehicle Counting in ITS |
| Efficient Codebook and Factorization for Second Order Representation | learning | |
| Efficient complex ISAR object recognition using adaptive deep relation | learning | |
| Efficient Compressed Sensing for Wireless Neural Recording: A Deep | learning | Approach |
| Efficient Conditional Pre-training for Transfer | learning | |
| efficient convolutional histogram-oriented gradients and deep convolutional | learning | approach for accurate classification of bone cancer, An |
| Efficient Convolutional Network | learning | Using Parametric Log Based Dual-Tree Wavelet ScatterNet |
| Efficient Coupled Dictionary | learning | And Sparse Coding For Noisy Piecewise-Smooth Signals: Application To Hyperspectral Imaging |
| Efficient Coupled Dictionary | learning | Method, An |
| Efficient Deep Feature | learning | and Extraction via StochasticNets |
| efficient deep | learning | algorithm for the segmentation of cardiac ventricles, An |
| Efficient Deep | learning | Approach for Ground Point Filtering In Aerial Laser Scanning Point Clouds, An |
| Efficient Deep | learning | Based Coarse-to-Fine Cephalometric Landmark Detection Method, An |
| Efficient deep | learning | based method for multi-lane speed forecasting: a case study in Beijing |
| Efficient Deep | learning | for Computer Vision |
| Efficient Deep | learning | for Stereo Matching |
| Efficient Deep | learning | Inference Based on Model Compression |
| Efficient deep | learning | of image denoising using patch complexity local divide and deep conquer |
| Efficient Deep | learning | of Nonlocal Features for Hyperspectral Image Classification |
| efficient deep multi-task | learning | structure for COVID-19 disease, An |
| Efficient Detection of Forest Fire Smoke in UAV Aerial Imagery Based on an Improved Yolov5 Model and Transfer | learning | |
| Efficient dictionary | learning | for visual categorization |
| Efficient Dictionary | learning | with Sparseness-Enforcing Projections |
| Efficient Discriminative | learning | of Class Hierarchy for Many Class Prediction |
| Efficient discriminative | learning | of parametric nearest neighbor classifiers |
| Efficient discriminative | learning | of parts-based models |
| Efficient discriminative local | learning | for object recognition |
| Efficient disentangled representation | learning | for multi-modal finger biometrics |
| Efficient Domain-Incremental | learning | Approach to Drive in All Weather Conditions, An |
| Efficient Empirical Solver for Localized Multiple Kernel | learning | via DNNs, An |
| Efficient Evaluation of Image Quality via Deep- | learning | Approximation of Perceptual Metrics |
| Efficient extraction of domain specific sentiment lexicon with active | learning | |
| efficient face classification method based on shared and class-specific dictionary | learning | , An |
| efficient fashion-driven | learning | approach to model user preferences in on-line shopping scenarios, An |
| Efficient feature extraction and hybrid deep | learning | for early identification of uterine fibroids in ultrasound images |
| Efficient Feature Transformations for Discriminative and Generative Continual | learning | |
| Efficient Federated | learning | Via Local Adaptive Amended Optimizer With Linear Speedup |
| Efficient federated multi-view | learning | |
| Efficient few-shot | learning | for pixel-precise handwritten document layout analysis |
| Efficient Fine-Tuning of Neural Networks for Artifact Removal in Deep | learning | for Inverse Imaging Problems |
| Efficient Framework for Constructing Speech Emotion Corpus Based on Integrated Active | learning | Strategies, An |
| efficient framework for deep | learning | -based light-defect image enhancement, An |
| Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot | learning | |
| Efficient Graph Based Multi-view | learning | |
| Efficient Halftoning via Deep Reinforcement | learning | |
| Efficient High-Resolution High-Level-Semantic Representation | learning | for Human Pose Estimation |
| Efficient HIK SVM | learning | for Image Classification |
| Efficient holistic feature basis | learning | for pedestrian detection |
| Efficient Human Activity Classification from Egocentric Videos Incorporating Actor-Critic Reinforcement | learning | |
| Efficient Human Motion Retrieval via Temporal Adjacent Bag of Words and Discriminative Neighborhood Preserving Dictionary | learning | |
| Efficient Hyperparameter Optimization in Convolutional Neural Networks by | learning | Curves Prediction |
| Efficient image selection for concept | learning | |
| Efficient incremental | learning | of boosted classifiers for object detection |
| Efficient Industrial System for Vehicle Tyre (Tire) Detection and Text Recognition Using Deep | learning | , An |
| efficient intra coding algorithm based on statistical | learning | for screen content coding, An |
| Efficient Intrusion Detection Approach for Visual Sensor Networks Based on Traffic Pattern | learning | , An |
| Efficient Kernel | learning | from Constraints and Unlabeled Data |
| Efficient large-scale multi-class image classification by | learning | balanced trees |
| Efficient Large-Scale Structured | learning | |
| Efficient | learning | for Discriminative Segmentation with Supermodular Losses |
| Efficient | learning | of Image Super-Resolution and Compression Artifact Removal with Semi-Local Gaussian Processes |
| Efficient | learning | of Linear Predictors for Template Tracking |
| Efficient | learning | of Linear Predictors Using Dimensionality Reduction |
| Efficient | learning | of Neural Networks with Evolutionary Algorithms |
| Efficient | learning | of Relational Object Class Models |
| Efficient | learning | of Sample-Specific Discriminative Features for Scene Classification |
| Efficient | learning | of sparse, distributed, convolutional feature representations for object recognition |
| Efficient | learning | of Spatial Patterns with Multi-Scale Conditional Random Fields for Region-Based Classification |
| Efficient | learning | on Point Clouds With Basis Point Sets |
| Efficient | learning | to Label Images |
| Efficient | learning | -based Image Enhancement: Application to Super-resolution and Compression Artifact Removal |
| Efficient | learning | -Free Keyword Spotting |
| Efficient Light Field Angular Super-Resolution With Sub-Aperture Feature | learning | and Macro-Pixel Upsampling |
| Efficient Long-Term Dependencies | learning | for Passenger Flow Prediction With Selective Feedback Mechanism |
| Efficient low-rank supported extreme | learning | machine for robust face recognition |
| Efficient Margin-Based Rank | learning | Algorithms for Information Retrieval |
| Efficient Method for Traffic Sign Recognition Based on Extreme | learning | Machine, An |
| Efficient method for vehicle license plate identification based on | learning | a morphological feature |
| Efficient Metric | learning | Based Dimension Reduction Using Sparse Projectors for Image Near Duplicate Retrieval |
| Efficient Model Personalization in Federated | learning | via Client-Specific Prompt Generation |
| Efficient monte carlo methods for multi-dimensional | learning | with classifier chains |
| Efficient Multi-attribute Similarity | learning | Towards Attribute-Based Fashion Search |
| Efficient Multi-Domain | learning | by Covariance Normalization |
| Efficient Multi-exposure Image Fusion via Filter-dominated Fusion and Gradient-driven Unsupervised | learning | |
| Efficient multi-label ranking for multi-class | learning | : Application to object recognition |
| Efficient Multi-method Rule | learning | for Pattern Classification Machine Learning and Data Mining |
| Efficient Multi-method Rule | learning | for Pattern Classification Machine Learning and Data Mining |
| Efficient multi-modal geometric mean metric | learning | |
| Efficient Multimedia Frame-Skipping Architecture Using Deep | learning | in Vehicular Networks |
| Efficient multiple faces tracking based on Relevance Vector Machine and Boosting | learning | |
| Efficient Multiple Instance Metric | learning | Using Weakly Supervised Data |
| Efficient Multiple-Feature | learning | -Based Hyperspectral Image Classification with Limited Training Samples |
| Efficient Object Detection in Large Images Using Deep Reinforcement | learning | |
| efficient online active | learning | algorithm for binary classification, An |
| Efficient online structured output | learning | for keypoint-based object tracking |
| Efficient piecewise | learning | for conditional random fields |
| Efficient Prediction of Gold Prices Using Hybrid Deep | learning | |
| Efficient PSD Constrained Asymmetric Metric | learning | for Person Re-Identification |
| Efficient Relative Attribute | learning | Using Graph Neural Networks |
| Efficient Representation | learning | for Inner Speech Domain Generalization |
| Efficient Retrieval for Large Scale Metric | learning | |
| Efficient RTM-based training of machine | learning | regression algorithms to quantify biophysical and biochemical traits of agricultural crops |
| Efficient screen content intra coding based on statistical | learning | |
| Efficient Segmentation: | learning | Downsampling Near Semantic Boundaries |
| efficient semantic segmentation method based on transfer | learning | from object detection, An |
| Efficient semi-supervised | learning | on locally informative multiple graphs |
| Efficient similarity | learning | for asymmetric hashing |
| Efficient Single Image Super-Resolution via Hybrid Residual Feature | learning | with Compact Back-Projection Network |
| Efficient Sparse Bayesian | learning | STAP Algorithm with Adaptive Laplace Prior, An |
| Efficient Spatio-Temporal Contrastive | learning | for Skeleton-Based 3-D Action Recognition |
| Efficient Style-Corpus Constrained | learning | for Photorealistic Style Transfer |
| efficient system for anomaly detection using deep | learning | classifier, An |
| Efficient text independent speaker recognition with wavelet feature selection based multilayered neural network using supervised | learning | algorithm |
| Efficient Training for Positive Unlabeled | learning | |
| Efficient Training of Deep | learning | Models Through Improved Adaptive Sampling |
| Efficient Transfer by Robust Label Selection and | learning | with Pseudo-Labels |
| Efficient transfer | learning | for multi-channel convolutional neural networks |
| Efficient Transfer | learning | for Robust Face Spoofing Detection |
| Efficient Transfer | learning | for Visual Tasks via Continuous Optimization of Prompts |
| Efficient Transfer | learning | via Joint Adaptation of Network Architecture and Weight |
| Efficient Transport Simulation With Restricted Batch-Mode Active | learning | |
| Efficient Unsupervised | learning | for Plankton Images |
| Efficient unsupervised | learning | of biological images with compressed deep features |
| Efficient Variational Bayes | learning | of Graphical Models With Smooth Structural Changes |
| Efficient Wavelet Boost | learning | -Based Multi-stage Progressive Refinement Network for Underwater Image Enhancement |
| Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative | learning | of sparse coding |
| Efficiently | learning | a Detection Cascade With Sparse Eigenvectors |
| Efficiently | learning | Random Fields for Stereo Vision with Sparse Message Passing |
| Efficiently utilizing complex-valued PolSAR image data via a multi-task deep | learning | framework |
| EfficientTrain: Exploring Generalized Curriculum | learning | for Training Visual Backbones |
| EfficientUNet+: A Building Extraction Method for Emergency Shelters Based on Deep | learning | |
| EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint | learning | of Optical Flow, Depth, Camera Pose and Motion Segmentation |
| eGAN: Unsupervised Approach to Class Imbalance Using Transfer | learning | |
| EGDCL: An Adaptive Curriculum | learning | Framework for Unbiased Glaucoma Diagnosis |
| EGGAN: | learning | Latent Space for Fine-Grained Expression Manipulation |
| Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive | learning | |
| Egocentric video co-summarization using transfer | learning | and refined random walk on a constrained graph |
| EgoFish3D: Egocentric 3D Pose Estimation From a Fisheye Camera via Self-Supervised | learning | |
| EI-CLIP: Entity-aware Interventional Contrastive | learning | for E-commerce Cross-modal Retrieval |
| Eigen-space | learning | using semi-supervised diffusion maps for human action recognition |
| EigenGAN: Layer-Wise Eigen- | learning | for GANs |
| EKF-SLAM and Machine | learning | Techniques for Visual Robot Navigation |
| Elaborate multi-task subspace | learning | with discrete group constraint |
| Elastic Net Hypergraph | learning | for Image Clustering and Semi-Supervised Classification |
| Elastic-net regularization of singular values for robust subspace | learning | |
| ELD-Net: An Efficient Deep | learning | Architecture for Accurate Saliency Detection |
| Electroencephalography-based classification of human emotion: A hybrid strategy in machine | learning | paradigm |
| Electromechanical Wave Imaging With Machine | learning | for Automated Isochrone Generation |
| Element Rearrangement for Tensor-Based Subspace | learning | |
| Elements of Statistical | learning | : Data Mining, Inference and Prediction, The |
| ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and | learning | Normalizing Flows on 2D Poses |
| Elimination of Thermal Effects from Limited Structural Displacements Based on Remote Sensing by Machine | learning | Techniques |
| Ellipse R-CNN: | learning | to Infer Elliptical Object From Clustering and Occlusion |
| Ellipsoidal Bias in | learning | Appearance-Based Recognition Functions |
| Elmnet: Feature | learning | using extreme learning machines |
| Elmnet: Feature | learning | using extreme learning machines |
| Elucidating robust | learning | with uncertainty-aware corruption pattern estimation |
| EM-Driven Unsupervised | learning | for Efficient Motion Segmentation |
| EM-net: Deep | learning | for electron microscopy image segmentation |
| EMAP-DCNN: A Novel Mathematical Morphology and Deep | learning | Combined Framework for Hyperspectral Image Classification |
| Embarrassingly Simple Backdoor Attack on Self-supervised | learning | , An |
| Embarrassingly Simple Baseline to One-shot | learning | , An |
| Embarrassingly Simple Binary Representation | learning | |
| Embedded Control Gate Fusion and Attention Residual | learning | for RGB-Thermal Urban Scene Parsing |
| Embedded Deep | learning | -based Package for Traffic Law Enforcement, An |
| Embedded Feature Selection and Machine | learning | Methods for Flash Flood Susceptibility-Mapping in the Mainstream Songhua River Basin, China |
| Embedded Prototype Subspace Classification: A Subspace | learning | Framework |
| Embedded Spherical Topic Models for Supervised | learning | |
| Embedding Adversarial | learning | for Vehicle Re-Identification |
| Embedding Expansion: Augmentation in Embedding Space for Deep Metric | learning | |
| Embedding Global Contrastive and Local Location in Self-Supervised | learning | |
| Embedding new observations via sparse-coding for non-linear manifold | learning | |
| Embedding Regularizer | learning | for Multi-View Semi-Supervised Classification |
| Embedding Transfer with Label Relaxation for Improved Metric | learning | |
| Embedding-Dynamic Approach to Self-Supervised | learning | , An |
| Embodied Amodal Recognition: | learning | to Move to Perceive Objects |
| Embryo Grading With Unreliable Labels Due to Chromosome Abnormalities by Regularized PU | learning | With Ranking |
| Emerging Technologies for Smart Cities' Transportation: Geo-Information, Data Analytics and Machine | learning | Approaches |
| Emerging Trends of Multi-Label | learning | , The |
| Emission-Based Machine | learning | Approach for Large-Scale Estimates of Black Carbon in China |
| EmoNet: A Transfer | learning | Framework for Multi-Corpus Speech Emotion Recognition |
| Emotion Assessment Using Adaptive | learning | -Based Relevance Analysis |
| Emotion Attention-Aware Collaborative Deep Reinforcement | learning | for Image Cropping |
| Emotion Classification Using EEG Brain Signals and the Broad | learning | System |
| Emotion Correlation Mining Through Deep | learning | Models on Natural Language Text |
| Emotion Detection for Conversations Based on Reinforcement | learning | Framework |
| Emotion Distribution | learning | Based on Peripheral Physiological Signals |
| Emotion identification by dynamic entropy and ensemble | learning | from electroencephalogram signals |
| Emotion information visualization through | learning | of 3D morphable face model |
| Emotion recognition at a distance: The robustness of machine | learning | based on hand-crafted facial features vs deep learning models |
| Emotion recognition at a distance: The robustness of machine | learning | based on hand-crafted facial features vs deep learning models |
| Emotion recognition based on sparse | learning | feature selection method for social communication |
| Emotion Recognition With Sequential Multi-task | learning | Technique |
| Emotion Recognition, Deep | learning | |
| Emotion-aware Contrastive | learning | for Facial Action Unit Detection |
| Emotion-aware Multi-view Contrastive | learning | for Facial Emotion Recognition |
| Emotion-Aware Video QoE Assessment Via Transfer | learning | |
| Emotion-Preserving Representation | learning | via Generative Adversarial Network for Multi-View Facial Expression Recognition |
| Emotional Attention Detection and Correlation Exploration for Image Emotion Distribution | learning | |
| Emotional Contagion-Aware Deep Reinforcement | learning | for Antagonistic Crowd Simulation |
| Emotional image color transfer via deep | learning | |
| Emotional temporal difference Q- | learning | signals in multi-agent system cooperation: real case studies |
| Empirical Analysis of Deep Feature | learning | for RGB-D Object Recognition, An |
| Empirical Analysis of Integrating Feature Extraction to Automated Machine | learning | Pipeline, An |
| empirical comparison of in- | learning | and post-learning optimization schemes for tuning the support vector machines in cost-sensitive applications, An |
| empirical comparison of in- | learning | and post-learning optimization schemes for tuning the support vector machines in cost-sensitive applications, An |
| Empirical Evaluation of Deep | learning | Approaches for Landmark Detection in Fish Bioimages |
| empirical investigation into the inconsistency of sequential active | learning | , An |
| Empirical Prediction of Leaf Area Index (LAI) of Endangered Tree Species in Intact and Fragmented Indigenous Forests Ecosystems Using WorldView-2 Data and Two Robust Machine | learning | Algorithms |
| Empirical Review of Deep | learning | Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs, An |
| Empirical Study and Analysis of Generalized Zero-Shot | learning | for Object Recognition in the Wild, An |
| Employing Acoustic Features To Aid Neural Networks Towards Platform Agnostic | learning | In Lung Ultrasound Imaging |
| Employing Decoding of Specific Error Correcting Codes as a New Classification Criterion in Multiclass | learning | Problems |
| Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep | learning | and 3/4G Camera Traps |
| EMS-Net: A Deep | learning | Method for Autodetecting Epileptic Magnetoencephalography Spikes |
| Emulator Toolbox to Approximate Radiative Transfer Models with Statistical | learning | , An |
| En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot | learning | |
| Enabling a Single Deep | learning | Model for Accurate Gland Instance Segmentation: A Shape-Aware Adversarial Learning Framework |
| Enabling a Single Deep | learning | Model for Accurate Gland Instance Segmentation: A Shape-Aware Adversarial Learning Framework |
| Enabling Immunology | learning | in Virtual Reality Through Storytelling and Interactivity |
| Enabling Trimap-Free Image Matting With a Frequency-Guided Saliency-Aware Network via Joint | learning | |
| EnAET: A Self-Trained Framework for Semi-Supervised and Supervised | learning | with Ensemble Transformations |
| Encapsulating the Impact of Transfer | learning | , Domain Knowledge and Training Strategies in Deep-Learning Based Architecture: A Biometric Based Case Study |
| Encapsulating the Impact of Transfer | learning | , Domain Knowledge and Training Strategies in Deep-Learning Based Architecture: A Biometric Based Case Study |
| Encoder Based Lifelong | learning | |
| Encoding Geospatial Vector Data for Deep | learning | : LULC as a Use Case |
| Encoding sparse and competitive structures among tasks in multi-task | learning | |
| Encyclopedia enhanced semantic embedding for zero-shot | learning | |
| End to End Generative Meta Curriculum | learning | for Medical Data Augmentation |
| End to end system for hazy image classification and reconstruction based on mean channel prior using deep | learning | network |
| End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement | learning | |
| End-to-End Airplane Detection Using Transfer | learning | in Remote Sensing Images |
| End-to-End Audiovisual Speech Recognition System With Multitask | learning | |
| End-to-end binary representation | learning | via direct binary embedding |
| End-to-End Compressed Video Representation | learning | for Generic Event Boundary Detection |
| End-to-End Correspondence and Relationship | learning | of Mid-Level Deep Features for Person Re-Identification |
| End-to-end crowd counting via joint | learning | local and global count |
| End-to-End Curriculum | learning | Approach for Autonomous Driving Scenarios, An |
| End-to-end Deep | learning | Approach for Video Captioning Through Mobile Devices, An |
| End-to-End Deep | learning | Based Gesture Recognizer for Vehicle Self Parking System, An |
| End-to-End Deep | learning | for Driver Distraction Recognition |
| End-to-End Deep | learning | for Reconstructing Segmented 3D CT Image from Multi-Energy X-ray Projections |
| End-to-End Deep | learning | Histochemical Scoring System for Breast Cancer TMA, An |
| End-to-end Deep | learning | Methods for Automated Damage Detection in Extreme Events at Various Scales |
| end-to-end deep | learning | system for medieval writer identification, An |
| End-to-end deep | learning | -based fringe projection framework for 3D profiling of objects |
| End-To-End Depth Map Compression Framework Via Rgb-To-Depth Structure Priors | learning | |
| End-to-End Driving in a Realistic Racing Game with Deep Reinforcement | learning | |
| End-To-End Efficient Representation | learning | via Cascading Combinatorial Optimization |
| End-To-End Ego Lane Estimation Based on Sequential Transfer | learning | for Self-Driving Cars |
| End-to-end global to local convolutional neural network | learning | for hand pose recovery in depth data |
| End-to-End Illuminant Estimation Based on Deep Metric | learning | |
| End-to-End Incremental | learning | |
| End-to-end Interpretable | learning | of Non-blind Image Deblurring |
| End-to-end kernel | learning | via generative random Fourier features |
| End-to-End | learning | Deep CRF Models for Multi-Object Tracking Deep CRF Models |
| End-to-End | learning | for Graph Decomposition |
| End-to-End | learning | for Image Burst Deblurring |
| End-to-end | learning | for image-based air quality level estimation |
| End-to-End | learning | for Joint Image Demosaicing, Denoising and Super-Resolution |
| End-to-End | learning | for Multimodal Emotion Recognition in Video With Adaptive Loss |
| End-to-End | learning | for Omnidirectional Stereo Matching With Uncertainty Prior |
| End-to-End | learning | for Video Frame Compression with Self-Attention |
| End-to-end | learning | for weakly supervised video anomaly detection using Absorbing Markov Chain |
| End-to-End | learning | Framework for Video Compression, An |
| End-to-end | learning | Improves Static Object Geo-Localization from Video |
| End-to-end | learning | interpolation for object tracking in low frame-rate video |
| End-to-End | learning | Local Multi-View Descriptors for 3D Point Clouds |
| End-to-End | learning | of Action Detection from Frame Glimpses in Videos |
| End-to-End | learning | of Compressible Features |
| End-to-End | learning | of Decision Trees and Forests |
| End-to-End | learning | of Deep Visual Representations for Image Retrieval |
| End-to-End | learning | of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation |
| End-to-End | learning | of Deterministic Decision Trees |
| End-to-End | learning | of Driving Models from Large-Scale Video Datasets |
| End-to-End | learning | of Driving Models with Surround-View Cameras and Route Planners |
| End-to-End | learning | of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI |
| End-to-End | learning | of Geometry and Context for Deep Stereo Regression |
| End-to-End | learning | of Keypoint Detector and Descriptor for Pose Invariant 3D Matching |
| End-to-End | learning | of Latent Deformable Part-Based Representations for Object Detection |
| End-to-End | learning | of Motion Representation for Video Understanding |
| End-to-End | learning | of Representations for Asynchronous Event-Based Data |
| End-to-End | learning | of Video Super-Resolution with Motion Compensation |
| End-to-End | learning | of Visual Representations From Uncurated Instructional Videos |
| End-to-End Model-Free Reinforcement | learning | for Urban Driving Using Implicit Affordances |
| End-to-End Moving Target Indication for Airborne Radar Using Deep | learning | |
| End-to-End Multi-Task | learning | for Lung Nodule Segmentation and Diagnosis |
| End-to-End Multi-Task | learning | Model for Drivable Road Detection via Edge Refinement and Geometric Deformation, An |
| End-to-end Multi-task | learning | of Missing Value Imputation and Forecasting in Time-Series Data |
| End-To-End Multi-Task | learning | With Attention |
| End-to-end OCR Text Re-organization Sequence | learning | for Rich-text Detail Image Comprehension, An |
| End-to-End Policy | learning | for Active Visual Categorization |
| End-to-End Real-Time Obstacle Detection Network for Safe Self-Driving via Multi-Task | learning | |
| End-to-End Recommendation System for Urban Traffic Controls and Management Under a Parallel | learning | Framework, An |
| End-to-End Reconstruction-Classification | learning | for Face Forgery Detection |
| End-to-End Representation | learning | for Correlation Filter Based Tracking |
| End-to-End SAR Deep | learning | Imaging Method Based on Sparse Optimization |
| End-to-End Semi-Supervised | learning | for Video Action Detection |
| End-to-end soccer video scene and event classification with deep transfer | learning | |
| End-to-End Supermask Pruning: | learning | to Prune Image Captioning Models |
| End-to-End Urban Driving by Imitating a Reinforcement | learning | Coach |
| End-to-End Video Captioning With Multitask Reinforcement | learning | |
| End-to-end Video-level Representation | learning | for Action Recognition |
| End-To-End Visual Place Recognition Based on Deep Metric | learning | and Self-Adaptively Enhanced Similarity Metric |
| Endoscopy video summarization based on unsupervised | learning | and feature discrimination |
| Energy Efficiency Optimization in LoRa Networks: A Deep | learning | Approach |
| Energy Minimum Regularization in Continual | learning | |
| Energy-Aware Blockchain and Federated | learning | -Supported Vehicular Networks |
| Energy-based Latent Aligner for Incremental | learning | |
| Energy-Based | learning | for Scene Graph Generation |
| Energy-Efficient Distributed | learning | With Coarsely Quantized Signals |
| Energy-efficient workload allocation in fog-cloud based services of intelligent transportation systems using a | learning | classifier system |
| Enforcing Semantic Consistency for Cross Corpus Emotion Prediction Using Adversarial Discrepancy | learning | in Emotion |
| Engagement Detection and Its Applications in | learning | : A Tutorial and Selective Review |
| Engagement Detection with Multi-Task Training in E- | learning | Environments |
| Enhance deep | learning | performance in face recognition |
| Enhanced Bayesian Compression via Deep Reinforcement | learning | |
| Enhanced Boundary | learning | for Glass-like Object Segmentation |
| Enhanced Deep | learning | Architecture for Classification of Tuberculosis Types From CT Lung Images, An |
| Enhanced dictionary pair | learning | sparse representation model for facial expression classification |
| Enhanced Estimate of Chromophoric Dissolved Organic Matter Using Machine | learning | Algorithms from Landsat-8 OLI Data in the Pearl River Estuary |
| Enhanced Face Recognition Using Adaptive Local Tri Weber Pattern with Improved Deep | learning | Architecture |
| Enhanced Federated | learning | for Edge Data Security in Intelligent Transportation Systems |
| Enhanced Few-Shot | learning | for Intrusion Detection in Railway Video Surveillance |
| enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion-based machine | learning | techniques, An |
| Enhanced gradient | learning | for deep neural networks |
| Enhanced Invariant Feature Joint | learning | via Modality-Invariant Neighbor Relations for Cross-Modality Person Re-Identification |
| Enhanced Laplacian Group Sparse | learning | with Lifespan Outlier Rejection for Visual Tracking |
| Enhanced Local and Global | learning | for Rotation-Invariant Point Cloud Representation |
| Enhanced multi-dataset transfer | learning | method for unsupervised person re-identification using co-training strategy |
| Enhanced Multi-Stage Deep | learning | Framework for Detecting Malicious Activities From Autonomous Vehicles, An |
| Enhanced Multi-Task | learning | Architecture for Detecting Pedestrian at Far Distance |
| Enhanced Multimodal Representation | learning | with Cross-modal KD |
| Enhanced Random Forest with Image/Patch-Level | learning | for Image Understanding |
| Enhanced Regional Monitoring of Wheat Powdery Mildew Based on an Instance-Based Transfer | learning | Method |
| Enhanced representation and multi-task | learning | for image annotation |
| Enhanced Semantic Similarity | learning | Framework for Image-Text Matching |
| Enhanced Ship/Iceberg Classification in SAR Images Using Feature Extraction and the Fusion of Machine | learning | Algorithms |
| Enhanced Single-Pair | learning | -Based Reflectance Fusion Algorithm with Spatiotemporally Extended Training Samples, An |
| Enhanced Smartphone Indoor Positioning Scheme with Outlier Removal Using Machine | learning | , An |
| Enhanced Spatio-Temporal Interaction | learning | for Video Deraining: Faster and Better |
| Enhanced TabNet: Attentive Interpretable Tabular | learning | for Hyperspectral Image Classification |
| Enhanced Target Tracking in UAV Imagery with P-N | learning | and Structural Constraints |
| Enhanced task attention with adversarial | learning | for dynamic multi-task CNN |
| Enhancement of Detecting Permanent Water and Temporary Water in Flood Disasters by Fusing Sentinel-1 and Sentinel-2 Imagery Using Deep | learning | Algorithms: Demonstration of Sen1Floods11 Benchmark Datasets |
| Enhancement of Low Light Level Images with coupled dictionary | learning | |
| Enhancing Action Recognition by Cross-Domain Dictionary | learning | |
| Enhancing Adversarial Robustness for Deep Metric | learning | |
| Enhancing Bag-of-Words Models with Semantics-Preserving Metric | learning | |
| Enhancing Bilinear Subspace | learning | by Element Rearrangement |
| Enhancing Binocular Depth Estimation Based on Proactive Perception and Action Cyclic | learning | for an Autonomous Developmental Robot |
| Enhancing brain tumor classification with transfer | learning | : Leveraging DenseNet121 for accurate and efficient detection |
| Enhancing Chinese Address Parsing in Low-Resource Scenarios through In-Context | learning | |
| Enhancing Crop Classification Accuracy through Synthetic SAR-Optical Data Generation Using Deep | learning | |
| Enhancing cross-view object classification by feature-based transfer | learning | |
| Enhancing deep neural networks via multiple kernel | learning | |
| Enhancing Deformable Local Features by Jointly | learning | to Detect and Describe Keypoints |
| Enhancing Depth Quality of Stereo Vision using Deep | learning | -based Prior Information of the Driving Environment |
| Enhancing Federated | learning | Robustness Through Clustering Non-iid Features |
| Enhancing Geometric Factors in Model | learning | and Inference for Object Detection and Instance Segmentation |
| Enhancing Handwritten Text Recognition with N-gram sequence decomposition and Multitask | learning | |
| Enhancing human parsing with region-level | learning | |
| Enhancing identification for person search with multi-scale multi-grained representation | learning | |
| Enhancing Image and Video Retrieval: | learning | via Equivalence Constraints |
| Enhancing Information Maximization With Distance-Aware Contrastive | learning | for Source-Free Cross-Domain Few-Shot Learning |
| Enhancing Information Maximization With Distance-Aware Contrastive | learning | for Source-Free Cross-Domain Few-Shot Learning |
| Enhancing Knowledge Graph Completion with Positive Unlabeled | learning | |
| Enhancing label inference algorithms considering vertex importance in graph-based semi-supervised | learning | |
| Enhancing Land Cover Mapping and Monitoring: An Interactive and Explainable Machine | learning | Approach Using Google Earth Engine |
| Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep | learning | |
| Enhancing Low Quality Face Image Matching by Neurovisually Inspired Deep | learning | |
| Enhancing lung abnormalities diagnosis using hybrid DCNN-ViT-GRU model with explainable AI: A deep | learning | approach |
| Enhancing Maize Yield Simulations in Regional China Using Machine | learning | and Multi-Data Resources |
| Enhancing Modality-Agnostic Representations via Meta- | learning | for Brain Tumor Segmentation |
| Enhancing perception for the visually impaired with deep | learning | techniques and low-cost wearable sensors |
| Enhancing Person Re-Identification Performance Through In Vivo | learning | |
| Enhancing Privacy Preservation in Federated | learning | via Learning Rate Perturbation |
| Enhancing Privacy Preservation in Federated | learning | via Learning Rate Perturbation |
| Enhancing Rainfall Nowcasting Using Generative Deep | learning | Model with Multi-Temporal Optical Flow |
| Enhancing Representation | learning | With Spatial Transformation and Early Convolution for Reinforcement Learning-Based Small Object Detection |
| Enhancing Representation | learning | With Spatial Transformation and Early Convolution for Reinforcement Learning-Based Small Object Detection |
| Enhancing Reproducibility and Replicability in Remote Sensing Deep | learning | Research and Practice |
| Enhancing Robustness in Federated | learning | by Supervised Anomaly Detection |
| Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised | learning | |
| Enhancing Self-supervised Video Representation | learning | via Multi-level Feature Optimization |
| Enhancing sentient embodied conversational agents with machine | learning | |
| Enhancing single-view 3D mesh reconstruction with the aid of implicit surface | learning | |
| Enhancing Style-Guided Image-to-Image Translation via Self-Supervised Metric | learning | |
| Enhancing SVM Active | learning | for Image Retrieval Using Semi-supervised Bias-Ensemble |
| Enhancing Temporal Action Localization with Transfer | learning | from Action Recognition |
| Enhancing the Image Quality via Transferred Deep Residual | learning | of Coarse PET Sinograms |
| Enhancing Transferability of Deep Reinforcement | learning | -Based Variable Speed Limit Control Using Transfer Learning |
| Enhancing Transferability of Deep Reinforcement | learning | -Based Variable Speed Limit Control Using Transfer Learning |
| Enhancing Visual Embeddings through Weakly Supervised Captioning for Zero-Shot | learning | |
| Enhancing Water Depth Estimation from Satellite Images Using Online Machine | learning | : A Case Study Using Baidu Easy-DL with Acoustic Bathymetry and Sentinel-2 Data |
| Enhancing Wheat Above-Ground Biomass Estimation Using UAV RGB Images and Machine | learning | : Multi-Feature Combinations, Flight Height, and Algorithm Implications |
| Enriched Music Representations With Multiple Cross-Modal Contrastive | learning | |
| Enriching Variety of Layer-Wise | learning | Information by Gradient Combination |
| Ensemble adversarial black-box attacks against deep | learning | systems |
| Ensemble Attention Distillation for Privacy-Preserving Federated | learning | |
| Ensemble Classification Model With Unsupervised Representation | learning | for Driving Stress Recognition Using Physiological Signals, An |
| ensemble classifier | learning | approach to ROC optimization, An |
| Ensemble deep | learning | for automated visual classification using EEG signals |
| Ensemble Deep | learning | for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks |
| Ensemble Deep | learning | for Sustainable Multimodal UAV Classification |
| Ensemble Deep Manifold Similarity | learning | Using Hard Proxies |
| Ensemble dictionary | learning | for saliency detection |
| Ensemble | learning | and Slice Fusion Strategy for Three-Dimensional Nuclei Instance Segmentation, An |
| Ensemble | learning | Approach for Urban Land Use Mapping Based on Remote Sensing Imagery and Social Sensing Data, An |
| Ensemble | learning | Approaches Based on Covariance Pooling of CNN Features for High Resolution Remote Sensing Scene Classification |
| Ensemble | learning | Based Brain-Computer Interface System for Ground Vehicle Control |
| Ensemble | learning | Based Segmentation of Metastatic Liver Tumours in Contrast-Enhanced Computed Tomography |
| Ensemble | learning | for Blending Gridded Satellite and Gauge-Measured Precipitation Data |
| Ensemble | learning | for change-point prediction |
| Ensemble | learning | for Confidence Measures in Stereo Vision |
| Ensemble | learning | for Hyperspectral Image Classification Using Tangent Collaborative Representation |
| Ensemble | learning | for independent component analysis |
| Ensemble | learning | Incorporating Uncertain Registration |
| ensemble | learning | method for low visibility prediction on freeway using meteorological data, An |
| Ensemble | learning | Priors Driven Deep Unfolding for Scalable Video Snapshot Compressive Imaging |
| Ensemble | learning | to Perform Instance Segmentation over Synthetic Data |
| Ensemble | learning | Using Bagging And Inception-V3 For Anomaly Detection In Surveillance Videos |
| Ensemble | learning | With Manifold-Based Data Splitting for Noisy Label Correction |
| Ensemble | learning | -based COVID-19 detection by feature boosting in chest X-ray images |
| Ensemble | learning | -based method for maritime background subtraction in open sea environments |
| Ensemble | learning | -Based Rate-Distortion Optimization for End-to-End Image Compression |
| Ensemble | learning | -Based Vehicle Steering Detector Using Smartphones, An |
| Ensemble | learning | -Online Semi-Supervised Approach for Vehicle Behavior Recognition, An |
| Ensemble machine | learning | based driving range estimation for real-world electric city buses by considering battery degradation levels |
| Ensemble Machine | learning | for Mapping Tree Species Alpha-Diversity Using Multi-Source Satellite Data in an Ecuadorian Seasonally Dry Forest |
| Ensemble Machine | learning | of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting |
| Ensemble Machine | learning | Outperforms Empirical Equations for the Ground Heat Flux Estimation with Remote Sensing Data |
| Ensemble Modelling of Skipjack Tuna (Katsuwonus pelamis) Habitats in the Western North Pacific Using Satellite Remotely Sensed Data; a Comparative Analysis Using Machine- | learning | Models |
| Ensemble of Epoch-wise Empirical Bayes for Few-shot | learning | , An |
| Ensemble of Machine- | learning | Methods for Predicting Gully Erosion Susceptibility |
| Ensemble of Multi-task | learning | Networks for Facial Expression Recognition In-the-wild with Learning from Synthetic Data |
| Ensemble of Multi-task | learning | Networks for Facial Expression Recognition In-the-wild with Learning from Synthetic Data |
| Ensemble Quantile Networks: Uncertainty-Aware Reinforcement | learning | With Applications in Autonomous Driving |
| Ensemble-Based Densely-Connected Deep | learning | System for Assessment of Skeletal Maturity, An |
| Ensemble-Based Incremental | learning | Approach to Data Fusion, An |
| Ensemble-based local | learning | for high-dimensional data regression |
| Ensemble-Based Machine | learning | Model for Estimation of Subsurface Thermal Structure in the South China Sea, An |
| Ensemble-driven support vector clustering: From ensemble | learning | to automatic parameter estimation |
| Ensuring a connected structure for Retinal Vessels Deep- | learning | Segmentation |
| Entropic Optimal Transport loss for | learning | deep neural networks under label noise in remote sensing images, An |
| Entropy and orthogonality based deep discriminative feature | learning | for object recognition |
| Entropy Approximation by Machine | learning | Regression: Application for Irregularity Evaluation of Images in Remote Sensing |
| Entropy based dictionary | learning | for image classification |
| Entropy based segmentation of tumor from brain MR images: A study with teaching | learning | based optimization |
| Entropy-based Active | learning | for Object Detection with Progressive Diversity Constraint |
| Entropy-based active | learning | for object recognition |
| Entropy-based matrix | learning | machine for imbalanced data sets |
| Entropy-based prioritized sampling in Deep Q- | learning | |
| Entropy-based Stability-Plasticity for Lifelong | learning | |
| Entropy-based variational Bayes | learning | framework for data clustering |
| Entropy-guided contrastive | learning | for semi-supervised medical image segmentation |
| Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot | learning | , An |
| Environment Agnostic Representation for Visual Reinforcement | learning | |
| Environment coupled metrics | learning | for unconstrained face verification |
| Environment Object Detection for Marine Argo Drone by Deep | learning | |
| Environment Upgrade Reinforcement | learning | for Non-differentiable Multi-stage Pipelines |
| Environment-Agnostic Multitask | learning | for Natural Language Grounded Navigation |
| Environment-Invariant Curriculum Relation | learning | for Fine-Grained Scene Graph Generation |
| Environmental Time Series Prediction with Missing Data by Machine | learning | and Dynamics Recostruction |
| EP-Net 2.0: Out-of-Domain Generalisation for Deep | learning | Models of Cardiac Electrophysiology |
| EP-Net: | learning | Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions |
| EPG2S: Speech Generation and Speech Enhancement Based on Electropalatography and Audio Signals Using Multimodal | learning | |
| Episode-Based Active | learning | with Bayesian Neural Networks |
| Episode-Based Prototype Generating Network for Zero-Shot | learning | |
| Episodic | learning | Network for Text Detection on Human Bodies in Sports Images, An |
| Episodic Projection Network for Out-of-Distribution Detection in Few-shot | learning | |
| EPML: Expanded Parts Based Metric | learning | for Occlusion Robust Face Verification |
| Equation Attention Relationship Network (EARN): A Geometric Deep Metric Framework for | learning | Similar Math Expression Embedding |
| Equiangular Kernel Dictionary | learning | with Applications to Dynamic Texture Analysis |
| Equidistance constrained metric | learning | for person re-identification |
| Equidistant prototypes embedding for single sample based face recognition with generic | learning | and incremental learning |
| Equidistant prototypes embedding for single sample based face recognition with generic | learning | and incremental learning |
| Equivariance and Invariance Inductive Bias for | learning | from Insufficient Data |
| Equivariant Deep | learning | via Morphological and Linear Scale Space PDEs on the Space of Positions and Orientations |
| Equivariant Imaging: | learning | Beyond the Range Space |
| Equivariant Point Cloud Analysis via | learning | Orientations for Message Passing |
| Erasing Integrated | learning | : A Simple Yet Effective Approach for Weakly Supervised Object Localization |
| ERL-Net: Entangled Representation | learning | for Single Image De-Raining |
| Erlang planning network: An iterative model-based reinforcement | learning | with multi-perspective |
| Error Bounds of Imitating Policies and Environments for Reinforcement | learning | |
| Error Correction Scheme Augumented with Statistical and Lexical | learning | Capability for Japanese OCR |
| Error-Based Constraints for Efficient | learning | of Pattern-Recognition Problems |
| Error-correcting semi-supervised | learning | with mode-filter on graphs |
| Error-Tolerant Deep | learning | for Remote Sensing Image Scene Classification |
| ES2FL: Ensemble Self-Supervised Feature | learning | for Small Sample Classification of Hyperspectral Images |
| ESO-Based Model-Free Adaptive Iterative | learning | Energy-Efficient Control for Subway Train With Disturbances and Over-Speed Protection |
| ESS: | learning | Event-Based Semantic Segmentation from Still Images |
| Essential Low-Rank Sample | learning | for Group-Aware Subspace Clustering |
| Essential Tensor | learning | for Multi-View Spectral Clustering |
| Essentials for Class Incremental | learning | |
| Estimating Aboveground Biomass of Two Different Forest Types in Myanmar from Sentinel-2 Data with Machine | learning | and Geostatistical Algorithms |
| Estimating Boundary Layer Height from LiDAR Data under Complex Atmospheric Conditions Using Machine | learning | |
| Estimating Canola's Biophysical Parameters From Temporal, Spectral, And Polarimetric Imagery Using Machine | learning | Approaches |
| Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine | learning | |
| Estimating Coastal Chlorophyll-A Concentration from Time-Series OLCI Data Based on Machine | learning | |
| Estimating Completely Remote Sensing-Based Evapotranspiration for Salt Cedar (Tamarix ramosissima), in the Southwestern United States, Using Machine | learning | Algorithms |
| Estimating Crop Biophysical Parameters Using Machine | learning | Algorithms and Sentinel-2 Imagery |
| Estimating Crop Seed Composition Using Machine | learning | from Multisensory UAV Data |
| Estimating driver head pose using steerable pyramid and probabilistic | learning | |
| Estimating Evapotranspiration in a Post-Fire Environment Using Remote Sensing and Machine | learning | |
| Estimating Fine Fuel Load Using Sentinel-2A Imagery and Machine | learning | : A Case Study in the Mountainous Forests of Changsha, China |
| Estimating Fine-Grained Noise Model via Contrastive | learning | |
| Estimating Forest Aboveground Biomass Using Gaofen-1 Images, Sentinel-1 Images, and Machine | learning | Algorithms: A Case Study of the Dabie Mountain Region, China |
| Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine | learning | Regression Models |
| Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine | learning | |
| Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine | learning | Regression Techniques |
| Estimating Global Gross Primary Production from Sun-Induced Chlorophyll Fluorescence Data and Auxiliary Information Using Machine | learning | Methods |
| Estimating High Spatio-Temporal Resolution Rainfall from MSG1 and GPM IMERG Based on Machine | learning | : Case Study of Iran |
| Estimating High-Resolution PM2.5 Concentrations by Fusing Satellite AOD and Smartphone Photographs Using a Convolutional Neural Network and Ensemble | learning | |
| Estimating Hourly Surface Solar Irradiance from GK2A/AMI Data Using Machine | learning | Approach around Korea |
| Estimating Irrigation Water Consumption Using Machine | learning | and Remote Sensing Data in Kansas High Plains |
| Estimating Next Day's Forest Fire Risk via a Complete Machine | learning | Methodology |
| Estimating Pasture Biomass Using Sentinel-2 Imagery and Machine | learning | |
| Estimating PM2.5 Concentrations Using the Machine | learning | RF-XGBoost Model in Guanzhong Urban Agglomeration, China |
| Estimating Rainfall with Multi-Resource Data over East Asia Based on Machine | learning | |
| Estimating Rangeland Fine Fuel Biomass in Western Texas Using High-Resolution Aerial Imagery and Machine | learning | |
| Estimating Sugarcane Aboveground Biomass and Carbon Stock Using the Combined Time Series of Sentinel Data with Machine | learning | Algorithms |
| Estimating Summertime Precipitation from Himawari-8 and Global Forecast System Based on Machine | learning | |
| Estimating the Daily NO2 Concentration with High Spatial Resolution in the Beijing-Tianjin-Hebei Region Using an Ensemble | learning | Model |
| Estimating the Impact of COVID-19 on the PM2.5 Levels in China with a Satellite-Driven Machine | learning | Model |
| Estimating the Routing Parameter of the Xin'anjiang Hydrological Model Based on Remote Sensing Data and Machine | learning | |
| Estimating tree species composition from airborne laser scanning data using point-based deep | learning | models |
| Estimating Water Level in The Urmia Lake Using Satellite Data: A Machine | learning | Approach |
| Estimating wheat yields in Australia using climate records, satellite image time series and machine | learning | methods |
| Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and Machine | learning | |
| Estimation and Mapping of Carbon Stocks in Riparian Forests by using a Machine | learning | Approach with Multiple Geodata |
| Estimation of 1-km Resolution All-Sky Instantaneous Erythemal UV-B with MODIS Data Based on a Deep | learning | Method |
| Estimation of Aboveground Carbon Density of Forests Using Deep | learning | and Multisource Remote Sensing |
| Estimation of Abundance and Distribution of Salt Marsh Plants from Images Using Deep | learning | |
| Estimation of Aerosol Optical Depth at 30 m Resolution Using Landsat Imagery and Machine | learning | |
| Estimation of Apple Tree Leaf Chlorophyll Content Based on Machine | learning | Methods |
| Estimation of Bale Grazing and Sacrificed Pasture Biomass through the Integration of Sentinel Satellite Images and Machine | learning | Techniques |
| Estimation of Canopy Structure of Field Crops Using Sentinel-2 Bands with Vegetation Indices and Machine | learning | Algorithms |
| Estimation of Climatologies of Average Monthly Air Temperature over Mongolia Using MODIS Land Surface Temperature (LST) Time Series and Machine | learning | Techniques |
| Estimation of Cotton Nitrogen Content Based on Multi-Angle Hyperspectral Data and Machine | learning | Models |
| Estimation of Daily and Instantaneous Near-Surface Air Temperature from MODIS Data Using Machine | learning | Methods in the Jingjinji Area of China |
| Estimation of Daily Ground Level Air Pollution in Italian Municipalities with Machine | learning | Models Using Sentinel-5P and ERA5 Data |
| Estimation of Daily Maize Gross Primary Productivity by Considering Specific Leaf Nitrogen and Phenology via Machine | learning | Methods |
| Estimation of Gaussian mixture models via tensor moments with application to online | learning | |
| Estimation of Maximum Hail Diameters from FY-4A Satellite Data with a Machine | learning | Method |
| Estimation of National Forest Aboveground Biomass from Multi-Source Remotely Sensed Dataset with Machine | learning | Algorithms in China |
| Estimation of Non-Optically Active Water Quality Parameters in Zhejiang Province Based on Machine | learning | |
| Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine | learning | Methods |
| Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine- | learning | Regression |
| Estimation of Potato Yield Using Satellite Data at a Municipal Level: A Machine | learning | Approach |
| Estimation of Regional Ground-Level PM2.5 Concentrations Directly from Satellite Top-of-Atmosphere Reflectance Using A Hybrid | learning | Model |
| Estimation of Salinity Content in Different Saline-Alkali Zones Based on Machine | learning | Model Using FOD Pretreatment Method |
| Estimation of seismic building structural types using multi-sensor remote sensing and machine | learning | techniques |
| Estimation of Significant Wave Heights from ASCAT Scatterometer Data via Deep | learning | Network |
| Estimation of Snow Depth from AMSR2 and MODIS Data based on Deep Residual | learning | Network |
| Estimation of Soil Salinization by Machine | learning | Algorithms in Different Arid Regions of Northwest China |
| Estimation of Soil Salt Content at Different Depths Using UAV Multi-Spectral Remote Sensing Combined with Machine | learning | Algorithms |
| Estimation of Soybean Yield by Combining Maturity Group Information and Unmanned Aerial Vehicle Multi-Sensor Data Using Machine | learning | |
| Estimation of Sugarcane Yield Using a Machine | learning | Approach Based on UAV-LiDAR Data |
| Estimation of Surface NO2 Concentrations over Germany from TROPOMI Satellite Observations Using a Machine | learning | Method |
| Estimation of the Bio-Parameters of Winter Wheat by Combining Feature Selection with Machine | learning | Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Images |
| Estimation of the camera spectral sensitivity function using neural | learning | and architecture |
| Estimation of the Water Level in the Ili River from Sentinel-2 Optical Data Using Ensemble Machine | learning | |
| Estimation of Tropical Cyclone Intensity Using Multi-Platform Remote Sensing and Deep | learning | with Environmental Field Information |
| Estimation of Usable Area of Flat-Roof Residential Buildings Using Topographic Data with Machine | learning | Methods |
| Estimation of Vegetation Leaf-Area-Index Dynamics from Multiple Satellite Products through Deep- | learning | Method |
| Estimation of Winter Wheat Plant Nitrogen Concentration from UAV Hyperspectral Remote Sensing Combined with Machine | learning | Methods |
| Estimation, | learning | , and Adaptation: Systems That Improve with Use |
| EVA: Exploring the Limits of Masked Visual Representation | learning | at Scale |
| Evaluating Combinations of Sentinel-2 Data and Machine- | learning | Algorithms for Mangrove Mapping in West Africa |
| Evaluating Deep | learning | for Image Classification in Adversarial Environment |
| Evaluating Different Deep | learning | Approaches for Tree Health Classification Using High-Resolution Multispectral UAV Data in the Black Forest, Harz Region, and Gottinger Forest |
| Evaluating Downscaling Factors of Microwave Satellite Soil Moisture Based on Machine | learning | Method |
| Evaluating Empirical Regression, Machine | learning | , and Radiative Transfer Modelling for Estimating Vegetation Chlorophyll Content Using Bi-Seasonal Hyperspectral Images |
| Evaluating Feature Selection Methods and Machine | learning | Algorithms for Mapping Mangrove Forests Using Optical and Synthetic Aperture Radar Data |
| Evaluating freshness of produce using transfer | learning | |
| Evaluating Hand-crafted and | learning | -based Features for Photogrammetric Applications |
| Evaluating Impacts of Motion Correction on Deep | learning | Approaches for Breast DCE-MRI Segmentation and Classification |
| Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep | learning | |
| Evaluating knowledge transfer and zero-shot | learning | in a large-scale setting |
| Evaluating Land Use and Ecological Patterns in Xiong'an New Area of China with Machine | learning | Methodology |
| Evaluating Landslide Susceptibility Using Sampling Methodology and Multiple Machine | learning | Models |
| Evaluating Late Blight Severity in Potato Crops Using Unmanned Aerial Vehicles and Machine | learning | Algorithms |
| Evaluating Machine | learning | and Geostatistical Methods for Spatial Gap-Filling of Monthly ESA CCI Soil Moisture in China |
| Evaluating Machine | learning | and Remote Sensing in Monitoring NO2 Emission of Power Plants |
| Evaluating Multi-class Multiple-Instance | learning | for Image Categorization |
| Evaluating Multi-task | learning | for Multi-view Head-Pose Classification in Interactive Environments |
| Evaluating OCR and Non-OCR Text Representations for | learning | Document Classifiers |
| Evaluating Retraining Rules for Semi-Supervised | learning | in Neural Network Based Cursive Word Recognition |
| Evaluating Scalable Bayesian Deep | learning | Methods for Robust Computer Vision |
| Evaluating Self-Supervised | learning | Methods for Downstream Classification of Neoplasia in Barrett's Esophagus |
| Evaluating the Effect of Training Data Size and Composition on the Accuracy of Smallholder Irrigated Agriculture Mapping in Mozambique Using Remote Sensing and Machine | learning | Algorithms |
| Evaluating the Effectiveness of Machine | learning | and Deep Learning Models Combined Time-Series Satellite Data for Multiple Crop Types Classification over a Large-Scale Region |
| Evaluating the Effectiveness of Machine | learning | and Deep Learning Models Combined Time-Series Satellite Data for Multiple Crop Types Classification over a Large-Scale Region |
| Evaluating the Impact of Wide-Angle Lens Distortion on | learning | -based Depth Estimation |
| Evaluating the Performance of PRISMA Shortwave Infrared Imaging Sensor for Mapping Hydrothermally Altered and Weathered Minerals Using the Machine | learning | Paradigm |
| Evaluating the Potential of Sentinel-2 Time Series Imagery and Machine | learning | for Tree Species Classification in a Mountainous Forest |
| Evaluating the Transferability of Spectral Variables and Prediction Models for Mapping Forest Aboveground Biomass Using Transfer | learning | Methods |
| Evaluating Tumour Bounding Options for Deep | learning | -based Axillary Lymph Node Metastasis Prediction in Breast Cancer |
| Evaluating Variable Selection and Machine | learning | Algorithms for Estimating Forest Heights by Combining Lidar and Hyperspectral Data |
| Evaluating Visual Impressions Based on Gaze Analysis and Deep | learning | : A Case Study of Attractiveness Evaluation of Streets in Densely Built-up Wooden Residential Area |
| Evaluation and Analysis of | learning | Techniques |
| Evaluation and Development of E- | learning | Tools and Methods In Digital Photogrammetry and Remote Sensing for Non Experts From Academia And Industry |
| Evaluation and Prediction of Landslide Susceptibility in Yichang Section of Yangtze River Basin Based on Integrated Deep | learning | Algorithm |
| Evaluation Mechanism for Decentralized Collaborative Pattern | learning | in Heterogeneous Vehicular Networks |
| Evaluation of active | learning | strategies for video indexing |
| Evaluation of Conditioning Factors of Slope Instability and Continuous Change Maps in the Generation of Landslide Inventory Maps Using Machine | learning | (ML) Algorithms |
| Evaluation of Deep | learning | Architectures for Complex Immunofluorescence Nuclear Image Segmentation |
| evaluation of deep | learning | based object detection strategies for threat object detection in baggage security imagery, An |
| Evaluation of Deep | learning | on an Abstract Image Classification Dataset |
| Evaluation of Deep | learning | Segmentation Models for Detection of Pine Wilt Disease in Unmanned Aerial Vehicle Images |
| Evaluation of Deep | learning | Techniques for Deforestation Detection in the Brazilian Amazon and Cerrado Biomes From Remote Sensing Imagery |
| Evaluation of Deep | learning | Techniques for Qr Code Detection, An |
| Evaluation of Different Features and | learning | Models for Anomalous Event Detection, An |
| Evaluation of Different Machine | learning | Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data |
| Evaluation of Different Machine | learning | Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection |
| Evaluation of Different Machine | learning | Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection |
| Evaluation of Edge Platforms for Deep | learning | in Computer Vision |
| Evaluation of Eight Machine | learning | Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products, An |
| Evaluation of emergency driving behaviour and vehicle collision risk in connected vehicle environment: A deep | learning | approach |
| Evaluation of Empirical and Machine | learning | Algorithms for Estimation of Coastal Water Quality Parameters |
| Evaluation of face alignment solutions using statistical | learning | |
| Evaluation of Feature | learning | Methods for High Resolution Image Classification, An |
| Evaluation of Five Deep | learning | Models for Crop Type Mapping Using Sentinel-2 Time Series Images with Missing Information |
| Evaluation of Four Supervised | learning | Methods for Benthic Habitat Mapping Using Backscatter from Multi-Beam Sonar |
| Evaluation of incremental | learning | algorithms for HMM in the recognition of alphanumeric characters |
| Evaluation of Latent Space | learning | with Procedurally-Generated Datasets of Shapes |
| Evaluation of LBP Variants in Retinal Blood Vessels Segmentation Using Machine | learning | |
| Evaluation of Machine | learning | Algorithms in the Classification of Multispectral Images from the Sentinel-2A/2B Orbital Sensor for Mapping the Environmental Dynamics of Ria Formosa (Algarve, Portugal) |
| Evaluation of Machine | learning | Classifiers for Mapping Falcata Plantations in Sentinel-2 Image |
| Evaluation of Machine | learning | Techniques in Vine Leaves Disease Detection: a Preliminary Case Study On Flavescence DorÉe |
| Evaluation of Multi-Scale Multiple Instance | learning | to Improve Thyroid Cancer Classification |
| Evaluation of Player Enjoyment in Game-Based | learning | Arithmetic Drills via Racing Game, An |
| Evaluation of Prescribed Fires from Unmanned Aerial Vehicles (UAVs) Imagery and Machine | learning | Algorithms |
| Evaluation of prototype | learning | algorithms for nearest-neighbor classifier in application to handwritten character recognition |
| Evaluation of Riparian Tree Cover and Shading in the Chauga River Watershed Using LiDAR and Deep | learning | Land Cover Classification |
| Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale Machine | learning | Classification |
| Evaluation of Semi-supervised | learning | for CNN-based Change Detection |
| Evaluation of Soil Properties, Topographic Metrics, Plant Height, and Unmanned Aerial Vehicle Multispectral Imagery Using Machine | learning | Methods to Estimate Canopy Nitrogen Weight in Corn |
| Evaluation of the Use of UAV-Derived Vegetation Indices and Environmental Variables for Grapevine Water Status Monitoring Based on Machine | learning | Algorithms and SHAP Analysis |
| Evaluation of Three Deep | learning | Models for Early Crop Classification Using Sentinel-1A Imagery Time Series: A Case Study in Zhanjiang, China |
| Evaluation of Three Different Machine | learning | Methods for Object-Based Artificial Terrace Mapping: A Case Study of the Loess Plateau, China |
| Evaluations of Machine | learning | -Based CYGNSS Soil Moisture Estimates against SMAP Observations |
| Evasion Attack STeganography: Turning Vulnerability Of Machine | learning | To Adversarial Attacks Into A Real-world Application |
| EvDistill: Asynchronous Events to End-task | learning | via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation |
| Even More Confident Predictions with Deep Machine- | learning | |
| Event Oriented Dictionary | learning | for Complex Event Detection |
| Event Recognition in Videos by | learning | from Heterogeneous Web Sources |
| Event Stream Super-Resolution via Spatiotemporal Constraint | learning | |
| Event-Aware Retrospective | learning | for Knowledge-Based Image Captioning |
| Event-Aware Video Deraining via Multi-Patch Progressive | learning | |
| Event-Based Incremental Broad | learning | System for Object Classification |
| Event-based Temporally Dense Optical Flow Estimation with Sequential | learning | |
| Event-Based Vision Meets Deep | learning | on Steering Prediction for Self-Driving Cars |
| Event-Guided Person Re-Identification via Sparse-Dense Complementary | learning | |
| Events Recognition for a Semi-automatic Annotation of Soccer Videos: A Study Based Deep | learning | |
| EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial | learning | |
| EventZoom: | learning | to Denoise and Super Resolve Neuromorphic Events |
| Every node counts: Self-ensembling graph convolutional networks for semi-supervised | learning | |
| Every Pixel Counts ++: Joint | learning | of Geometry and Motion with 3D Holistic Understanding |
| Every Pixel Counts: Unsupervised Geometry | learning | with Holistic 3D Motion Understanding |
| Evidence Based Feature Selection and Collaborative Representation Towards | learning | Based PSF Estimation for Motion Deblurring |
| Evidential Deep | learning | for Open Set Action Recognition |
| EvidentialMix: | learning | with Combined Open-set and Closed-set Noisy Labels |
| Evolutionary Approach for | learning | Motion Class Patterns, An |
| Evolutionary Deep | learning | -Based Anomaly Detection Model for Securing Vehicles, An |
| Evolutionary extreme | learning | machine |
| evolutionary | learning | based fuzzy theoretic approach for salient object detection, An |
| Evolutionary | learning | for Orchestration of a Signal-to-Symbol Mapper |
| Evolutionary Metric- | learning | -Based Recognition Algorithm for Online Isolated Persian/Arabic Characters, Reconstructed Using Inertial Pen Signals |
| Evolutive OCR System Based on Continuous | learning | , An |
| evolve2vec: | learning | Network Representations Using Temporal Unfolding |
| Evolved Part Masking for Self-Supervised | learning | |
| Evolvement Constrained Adversarial | learning | for Video Style Transfer |
| Evolving Fully Automated Machine | learning | via Life-Long Knowledge Anchors |
| Evolving Fuzzy Classifiers: Application to Incremental | learning | of Handwritten Gesture Recognition Systems |
| Evolving Localised | learning | Model for On-line Image Colour Quantisation, An |
| Evolving Losses for Unsupervised Video Representation | learning | |
| Evolving Metric | learning | for Incremental and Decremental Features |
| Ex Paucis Plura: | learning | Affordance Segmentation from Very Few Examples |
| Ex-Model: Continual | learning | from a Stream of Trained Models |
| Exact Adversarial Attack to Image Captioning via Structured Output | learning | With Latent Variables |
| Exact Incremental and Decremental | learning | for LS-SVM |
| Exact Incremental Projection | learning | in the Presence of Noise |
| Exaggerated | learning | for Clean-and-Sharp Image Restoration |
| Examining the Capability of Supervised Machine | learning | Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood |
| Example based | learning | for object detection in images |
| Example forgetting and rehearsal in continual | learning | |
| Example of | learning | in Knowledge-directed Vision, An |
| Example-Based | learning | for Single-Image Super-Resolution |
| Example-Based | learning | for View-Based Human Face Detection |
| Example-based rapid generation of vegetation on terrain via CNN-based distribution | learning | |
| Example-Based Two-Step Face Hallucination Method through Coefficient | learning | , An |
| Exchangeable Deep Neural Networks for Set-to-set Matching and | learning | |
| Exclusive feature selection and multi-view | learning | for Alzheimer's Disease |
| Exemplar based Deep Discriminative and Shareable Feature | learning | for scene image classification |
| Exemplar based metric | learning | for robust visual localization |
| Exemplar Model for | learning | Object Classes, An |
| Exemplar Normalization for | learning | Deep Representation |
| Exemplar-Free Class Incremental | learning | via Discriminative and Comparable Parallel One-Class Classifiers |
| Exemplar-Free Online Continual | learning | |
| Exemplar-Guided Similarity | learning | on Polynomial Kernel Feature Map for Person Re-identification |
| Exhaustive and Efficient Constraint Propagation: A Graph-Based | learning | Approach and Its Applications |
| EXIF as Language: | learning | Cross-Modal Associations between Images and Camera Metadata |
| Expand globally, shrink locally: Discriminant multi-label | learning | with missing labels |
| Expandable Deep | learning | Inference Framework With Adjustability to Workload Requirement, An |
| Expanding object detector's Horizon: Incremental | learning | framework for object detection in videos |
| Expansive competitive | learning | for kernel vector quantization |
| Experience Replay as an Effective Strategy for Optimizing Decentralized Federated | learning | |
| Experience-Driven Power Allocation Using Multi-Agent Deep Reinforcement | learning | for Millimeter-Wave High-Speed Railway Systems |
| Experimental Design for Overparameterized | learning | With Application to Single Shot Deep Active Learning |
| Experimental Design for Overparameterized | learning | With Application to Single Shot Deep Active Learning |
| Experimental Evaluation of OCR Text Representations for | learning | Document Classifiers, An |
| Experimental Evaluation of the Bag-of-Features Model for Unsupervised | learning | of Images |
| Experimental Results of Underwater Sound Speed Profile Inversion by Few-Shot Multi-Task | learning | |
| Experimental Study of Unsupervised Feature | learning | for HEp-2 Cell Images Clustering |
| experimental study on classification of thyroid histopathology images using transfer | learning | , An |
| Experimental Study on Transfer | learning | in Denoising Autoencoders for Speech Enhancement |
| Experiments using deep | learning | for dermoscopy image analysis |
| Experiments with | learning | Techniques for Spatial Model Enrichment and Line Generalization |
| Expert Gate: Lifelong | learning | with a Network of Experts |
| Expert Level Control of Ramp Metering Based on Multi-Task Deep Reinforcement | learning | |
| Expert Level Control of Ramp Metering Based on Multi-Task Deep Reinforcement | learning | |
| Experts Collaboration | learning | for Continual Multi-Modal Reasoning |
| Experts-Shift: | learning | active spatial classification experts for keyframe-based video segmentation |
| Explainable deep | learning | for efficient and robust pattern recognition: A survey of recent developments |
| Explainable Deep | learning | Framework for Resilient Intrusion Detection in IoT-Enabled Transportation Networks, An |
| Explainable Deep | learning | Methods in Medical Image Classification: A Survey |
| Explainable Deep | learning | /AI |
| Explainable few-shot | learning | with visual explanations on a low resource pneumonia dataset |
| Explainable Online Validation of Machine | learning | Models for Practical Applications |
| Explainable Prediction of Renal Cell Carcinoma from Contrast-Enhanced CT Images Using Deep Convolutional Transfer | learning | and the Shapley Additive Explanations Approach |
| Explaining Autonomous Driving by | learning | End-to-End Visual Attention |
| Explaining Deep Models Through Forgettable | learning | Dynamics |
| Explaining Distributed Neural Activations via Unsupervised | learning | |
| Explaining Local, Global, And Higher-Order Interactions In Deep | learning | |
| Explanation-based Weakly-supervised | learning | of Visual Relations with Graph Networks |
| Explanatory Object Part Aggregation for Zero-Shot | learning | |
| Explicit Boundary Guided Semi-Push-Pull Contrastive | learning | for Supervised Anomaly Detection |
| Explicit Cross-Modal Representation | learning | for Visual Commonsense Reasoning |
| Explicit ensemble attention | learning | for improving visual question answering |
| Explicit Filterbank | learning | for Neural Image Style Transfer and Image Processing |
| Explicit | learning | of Feature Orientation Estimation |
| Explicit Shift-Invariant Dictionary | learning | |
| Explicit Spatiotemporal Joint Relation | learning | for Tracking Human Pose |
| Exploit Clues From Views: Self-Supervised and Regularized | learning | for Multiview Object Recognition |
| Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise | learning | |
| Exploitation of Meta Knowledge for | learning | Visual Concepts |
| Exploiting Convolution Filter Patterns for Transfer | learning | |
| Exploiting Distilled | learning | for Deep Siamese Tracking |
| Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active | learning | |
| Exploiting Earth Observation Data to Impute Groundwater Level Measurements with an Extreme | learning | Machine |
| Exploiting enhanced and robust RGB-D face representation via progressive multi-modal | learning | |
| Exploiting Experts: Knowledge for Structure | learning | of Bayesian Networks |
| Exploiting feature Representations Through Similarity | learning | and Ranking Aggregation for Person Re-identification |
| Exploiting feature representations through similarity | learning | , post-ranking and ranking aggregation for person re-identification |
| Exploiting Field Dependencies for | learning | on Categorical Data |
| Exploiting generalized discriminative multiple instance | learning | for multimedia semantic concept detection |
| Exploiting Graph and Geodesic Distance Constraint for Deep | learning | -Based Visual Odometry |
| Exploiting image translations via ensemble self-supervised | learning | for Unsupervised Domain Adaptation |
| Exploiting Images for Video Recognition: Heterogeneous Feature Augmentation via Symmetric Adversarial | learning | |
| Exploiting Inference for Approximate Parameter | learning | in Discriminative Fields: An Empirical Study |
| Exploiting Multimedia Content: A Machine | learning | Based Aproach |
| Exploiting Pseudo Labels in a Self-Supervised | learning | Framework for Improved Monocular Depth Estimation |
| Exploiting qualitative domain knowledge for | learning | Bayesian network parameters with incomplete data |
| Exploiting Related and Unrelated Tasks for Hierarchical Metric | learning | and Image Classification |
| Exploiting Spatial-Temporal Locality of Tracking via Structured Dictionary | learning | |
| Exploiting Superpixel-Based Contextual Information on Active | learning | for High Spatial Resolution Remote Sensing Image Classification |
| Exploiting supervised | learning | for finetuning deep CNNs in content based image retrieval |
| Exploiting the Anisotropy of Correlation Filter | learning | for Visual Tracking |
| Exploiting the deep | learning | paradigm for recognizing human actions |
| Exploiting the Geometry of Gene Expression Patterns for Unsupervised | learning | |
| Exploiting Transitivity for | learning | Person Re-identification Models on a Budget |
| Exploiting Unlabeled Data in CNNs by Self-Supervised | learning | to Rank |
| Exploration of classification confidence in ensemble | learning | |
| Exploration of configural representation in landmark | learning | using working memory toolkit |
| Exploration of Ear Biometrics with Deep | learning | |
| Exploration of Machine | learning | Techniques in Emulating a Coupled Soil-Canopy-Atmosphere Radiative Transfer Model for Multi-Parameter Estimation From Satellite Observations |
| Exploration of OpenStreetMap missing built-up areas using twitter hierarchical clustering and deep | learning | in Mozambique |
| Exploratory Analysis of Driving Force of Wildfires in Australia: An Application of Machine | learning | within Google Earth Engine |
| Exploratory | learning | structures in artificial cognitive systems |
| Explore Efficient Local Features from RGB-D Data for One-Shot | learning | Gesture Recognition |
| Explore the potential of deep | learning | and hyperchaotic map in the meaningful visual image encryption scheme |
| Explore Video Clip Order With Self-Supervised and Curriculum | learning | for Video Applications |
| Exploring Active | learning | for Semiconductor Defect Segmentation |
| Exploring Anatomical Similarity in Cardiac-Gated SPECT Images for A Deep | learning | Network |
| Exploring Better Food Detection via Transfer | learning | |
| Exploring Bottom-Up and Top-Down Cues With Attentive | learning | for Webly Supervised Object Detection |
| Exploring cell tower data dumps for supervised | learning | -based point-of-interest prediction (industrial paper) |
| Exploring Coherent Motion Patterns via Structured Trajectory | learning | for Crowd Mood Modeling |
| Exploring Complementary Models Consisting of Machine | learning | Algorithms for Landslide Susceptibility Mapping |
| Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot | learning | |
| Exploring Compositional High Order Pattern Potentials for Structured Output | learning | |
| Exploring Cross-Video Matching for Few-Shot Video Classification via Dual-Hierarchy Graph Neural Network | learning | |
| Exploring Data Aggregation in Policy | learning | for Vision-Based Urban Autonomous Driving |
| Exploring Data Geometry for Continual | learning | |
| Exploring deep | learning | based solutions in fine grained activity recognition in the wild |
| Exploring Deep | learning | Models on GPR Data: A Comparative Study of AlexNet and VGG on a Dataset from Archaeological Sites |
| Exploring Dual-Energy CT Spectral Information for Machine | learning | -Driven Lesion Diagnosis in Pre-Log Domain |
| Exploring Expression-related Self-supervised | learning | and Spatial Reserve Pooling for Affective Behaviour Analysis |
| Exploring geo-tagged photos for land cover validation with deep | learning | |
| Exploring Google Street View with deep | learning | for crop type mapping |
| Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph | learning | Framework |
| Exploring Inter-Observer Differences in First-Person Object Views Using Deep | learning | Models |
| Exploring Joint Embedding Architectures and Data Augmentations for Self-Supervised Representation | learning | in Event-Based Vision |
| Exploring Locally Rigid Discriminative Patches for | learning | Relative Attributes |
| Exploring low-resource medical image classification with weakly supervised prompt | learning | |
| Exploring Machine | learning | to Correct Satellite-Derived Sea Surface Temperatures |
| Exploring multi-tasking | learning | in document attribute classification |
| Exploring Multisource Feature Fusion and Stacking Ensemble | learning | for Accurate Estimation of Maize Chlorophyll Content Using Unmanned Aerial Vehicle Remote Sensing |
| Exploring Patch-wise Semantic Relation for Contrastive | learning | in Image-to-Image Translation Tasks |
| Exploring Perspective Switching in Immersive VR for | learning | First Aid in Lower Secondary Education |
| Exploring Random Forest Machine | learning | and Remote Sensing Data for Streamflow Prediction: An Alternative Approach to a Process-Based Hydrologic Modeling in a Snowmelt-Driven Watershed |
| Exploring Self-Supervised | learning | for Multi-Modal Remote Sensing Pre-Training via Asymmetric Attention Fusion |
| Exploring Self-Supervised Representation | learning | for Low-Resource Medical Image Analysis |
| Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep | learning | |
| Exploring Set Similarity for Dense Self-supervised Representation | learning | |
| Exploring Simple Siamese Representation | learning | |
| Exploring Spatial Diversity for Region-Based Active | learning | |
| Exploring Subpixel | learning | Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing |
| Exploring Temporal Concurrency for Video-Language Representation | learning | |
| Exploring the Challenges Towards Lifelong Fact | learning | |
| Exploring the Correlation between Streetscape and Economic Vitality Using Machine | learning | : A Case Study in the Old Urban District of Xuzhou, China |
| Exploring the Equivalence of Siamese Self-Supervised | learning | via A Unified Gradient Framework |
| Exploring the Impact of Built Environment Attributes on Social Followings Using Social Media Data and Deep | learning | |
| Exploring the Individualized Effect of Climatic Drivers on MODIS Net Primary Productivity through an Explainable Machine | learning | Framework |
| Exploring the Limits of Zero-Shot | learning | : How Low Can You Go? |
| Exploring the Potential of Active | learning | for Automatic Identification of Marine Oil Spills Using 10-Year (2004-2013) RADARSAT Data |
| Exploring the Potential of Machine | learning | for Automatic Slum Identification from VHR Imagery |
| Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with Machine | learning | Algorithms |
| Exploring the Power of Genetic Search in | learning | Symbolic Classifiers |
| Exploring the Utility of Machine | learning | -Based Passive Microwave Brightness Temperature Data Assimilation over Terrestrial Snow in High Mountain Asia |
| Exploring Transfer | learning | Approaches for Head Pose Classification from Multi-view Surveillance Images |
| Exploring Vision-Language Models for Imbalanced | learning | |
| Exploring Visual Engagement Signals for Representation | learning | |
| Exploring Wetland Dynamics in Large River Floodplain Systems with Unsupervised Machine | learning | : A Case Study of the Dongting Lake, China |
| Exploring Wordle- Based on Improved Machine | learning | Models |
| Exploring Workout Repetition Counting and Validation Through Deep | learning | |
| Explosive Cyber Security Threats During COVID-19 Pandemic and a Novel Tree-Based Broad | learning | System to Overcome |
| Exponential decay sine wave | learning | rate for fast deep neural network training |
| Exponential Moving Average Normalization for Self-supervised and Semi-supervised | learning | |
| Exposing and modeling underlying mechanisms in ALS with machine | learning | |
| Exposing Fake Bitrate Videos Using Hybrid Deep- | learning | Network From Recompression Error |
| Exposing Presentation Attacks by a Combination of Multi-intrinsic Image Properties, Convolutional Networks and Transfer | learning | |
| Exposure-Aware Dynamic Weighted | learning | for Single-Shot HDR Imaging |
| ExposureDiffusion: | learning | to Expose for Low-light Image Enhancement |
| Expression | learning | and recognition system for a family robot |
| Expression-Invariant Age Estimation Using Structured | learning | |
| Expression-targeted feature | learning | for effective facial expression recognition |
| Expressive Facial Animation Synthesis by | learning | Speech Coarticulation and Expression Spaces |
| Expressive Speech-Driven Lip Movements with Multitask | learning | |
| Extended compressed tracking via random projection based on MSERs and online LS-SVM | learning | |
| Extended Grammar System for | learning | and Recognizing Complex Visual Events, An |
| Extended Isomap for Manifold Topology | learning | with SOINN Landmarks, An |
| Extended Multi-resolution Local Patterns - A Discriminative Feature | learning | Approach for Colonoscopy Image Classification |
| Extended T: | learning | With Mixed Closed-Set and Open-Set Noisy Labels |
| Extended Target Tracking Utilizing Machine- | learning | Software-With Applications to Animal Classification |
| Extending and Analyzing Self-supervised | learning | Across Domains |
| Extending Long Short-Term Memory for Multi-View Structured | learning | |
| Extending Ordinary-Label | learning | Losses to Complementary-Label Learning |
| Extending Ordinary-Label | learning | Losses to Complementary-Label Learning |
| Extending the relevant component analysis algorithm for metric | learning | using both positive and negative equivalence constraints |
| Extending version-space theory to multi-label active | learning | with imbalanced data |
| Extensible Max-Min Collaborative Retention for Online Mini-Batch | learning | Hash Retrieval |
| extension of kernel | learning | methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition, An |
| extension of multifactor analysis for face recognition based on submanifold | learning | , An |
| extensive experimental comparison of methods for multi-label | learning | , An |
| External and internal | learning | for single-image super-resolution |
| External Prior Guided Internal Prior | learning | for Real-World Noisy Image Denoising |
| Extracting Dispersion Curves From Ambient Noise Correlations Using Deep | learning | |
| Extracting Key Segments of Videos for Event Detection by | learning | From Web Sources |
| Extracting Multiple Visual Senses for Web | learning | |
| Extracting Privileged Information for Enhancing Classifier | learning | |
| Extracting Representative Images of Tourist Attractions from Flickr by Combining an Improved Cluster Method and Multiple Deep | learning | Models |
| Extracting Semantic Knowledge From GANs With Unsupervised | learning | |
| Extracting Target Spectrum for Hyperspectral Target Detection: An Adaptive Weighted | learning | Method Using a Self-Completed Background Dictionary |
| Extracting the Tailings Ponds from High Spatial Resolution Remote Sensing Images by Integrating a Deep | learning | -Based Model |
| Extracting the Urban Landscape Features of the Historic District from Street View Images Based on Deep | learning | : A Case Study in the Beijing Core Area |
| Extraction and Quantification of Actin Cytoskeleton in Microscopic Images Using a Deep | learning | Based Framework and a Curve Clustering Model |
| Extraction of Aquaculture Ponds along Coastal Region Using U2-Net Deep | learning | Model from Remote Sensing Images |
| Extraction of Main Urban Roads from High Resolution Satellite Images by Machine | learning | |
| Extraction of Multiple Diseases in Apple Leaf Using Machine | learning | |
| Extraction of Offshore Aquaculture Areas from Medium-Resolution Remote Sensing Images Based on Deep | learning | |
| Extraction of Olive Crown Based on UAV Visible Images and the U2-Net Deep | learning | Model |
| Extraction of Photovoltaic Plants Using Machine | learning | Methods: A Case Study of the Pilot Energy City of Golmud, China |
| Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine | learning | Methods |
| Extraction of Pluvial Flood Relevant Volunteered Geographic Information (VGI) by Deep | learning | from User Generated Texts and Photos |
| Extraction of Sunflower Lodging Information Based on UAV Multi-Spectral Remote Sensing and Deep | learning | |
| Extraction of Urban Quality of Life Indicators Using Remote Sensing and Machine | learning | : The Case of Al Ain City, United Arab Emirates (UAE) |
| Extracurricular | learning | : Knowledge Transfer Beyond Empirical Distribution |
| Extrapolative-Interpolative Cycle-Consistency | learning | For Video Frame Extrapolation |
| Extreme | learning | Classifier with Deep Concepts |
| Extreme | learning | machine for out-of-sample extension in Laplacian eigenmaps |
| Extreme | learning | machine with feature mapping of kernel function |
| Extreme | learning | Machine with Superpixel-Guided Composite Kernels for SAR Image Classification |
| Extreme | learning | Machine, ELM |
| Extreme | learning | machines with expectation kernels |
| Extreme Reverse Projection | learning | for Zero-Shot Recognition |
| Extrinsic Methods for Coding and Dictionary | learning | on Grassmann Manifolds |
| Eye Diseases Classification Using Deep | learning | |
| Eye gaze analysis and | learning | -to-rank to obtain the most preferred result in image inpainting |
| Eye in the Sky: Real-Time Drone Surveillance System (DSS) for Violent Individuals Identification Using ScatterNet Hybrid Deep | learning | Network |
| Eye landmarks detection via two-level cascaded CNNs with multi-task | learning | |
| Eye landmarks detection via weakly supervised | learning | |
| Eye specular highlights telltales for digital forensics: A machine | learning | approach |
| Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut | learning | |
| Eyebrows and eyeglasses as soft biometrics using deep | learning | |
| Eyes Wide Open: An interactive | learning | method for the design of rule-based systems |
| F-Net: Deep Residual | learning | for InSAR Parameters Estimation |
| F-VAEGAN-D2: A Feature Generating Framework for Any-Shot | learning | |
| F2F-NN: A Field-to-Field Wind Speed Retrieval Method of Microwave Radiometer Data Based on Deep | learning | |
| F2PNet: Font-to-painting translation by adversarial | learning | |
| Fabric defect detection using deep | learning | : An Improved Faster R-approach |
| Fabric Retrieval Based on Multi-Task | learning | |
| FAC: 3D Representation | learning | via Foreground Aware Feature Contrast |
| Face Alignment by Discriminative Feature | learning | |
| Face anti-spoofing using feature distilling and global attention | learning | |
| Face Anti-spoofing via Disentangled Representation | learning | |
| Face Completion with Semantic Knowledge and Collaborative Adversarial | learning | |
| Face De-Occlusion With Deep Cascade Guidance | learning | |
| Face detection based on deep convolutional neural networks exploiting incremental facial part | learning | |
| Face Detection in Thermal Infrared Images: A Comparison of Algorithm- and Machine- | learning | -Based Approaches |
| Face Distortion Recovery Based on Online | learning | Database for Conversational Video |
| Face Exemplars Selection from Video Streams for Online | learning | |
| Face Expression Recognition Using | learning | , Neural Nets |
| Face Generation for Low-Shot | learning | Using Generative Adversarial Networks |
| Face hallucination based on cluster consistent dictionary | learning | |
| Face hallucination based on nonparametric Bayesian | learning | |
| Face Hallucination by Attentive Sequence Optimization with Reinforcement | learning | |
| Face Hallucination by | learning | Local Distance Metric |
| Face Hallucination Through Dual Associative | learning | |
| Face illumination recovery for the deep | learning | feature under severe illumination variations |
| Face Image Analysis by Unsupervised | learning | |
| Face Image Quality Assessment Based on | learning | to Rank |
| Face Liveness Detection by | learning | Multispectral Reflectance Distributions |
| Face Model Fitting Based on Machine | learning | from Multi-Band Images of Facial Components |
| Face Parsing from RGB and Depth Using Cross-Domain Mutual | learning | |
| Face photo-sketch recognition based on joint dictionary | learning | |
| Face presentation attack detection based on chromatic co-occurrence of local binary pattern and ensemble | learning | |
| Face processing and recognition using | learning | and evolution |
| Face recognition based on discriminative manifold | learning | |
| Face Recognition by SVMs Classification And Manifold | learning | of 2D and 3D Radial Geodesic Distances |
| Face Recognition for Newborns, Toddlers, and Pre-School Children: A Deep | learning | Approach |
| Face recognition in real-world surveillance videos with deep | learning | method |
| Face recognition on large-scale video in the wild with hybrid Euclidean-and-Riemannian metric | learning | |
| Face Recognition Systems Using Neural Networks, | learning | |
| Face Recognition Using Multi-Modal Low-Rank Dictionary | learning | |
| Face recognition using patch manifold | learning | across plastic surgery from a single training exemplar per enrolled person |
| Face Recognition Using Principal Geodesic Analysis and Manifold | learning | |
| Face recognition using reinforcement | learning | |
| Face Recognition Using Simultaneous Discriminative Feature and Adaptive Weight | learning | Based on Group Sparse Representation |
| Face Recognition Using Sparse Representations and Manifold | learning | |
| Face Recognition with Convolutional Neural Networks and subspace | learning | |
| Face Recognition with Disentangled Facial Representation | learning | and Data Augmentation |
| Face Recognition with | learning | Machines |
| Face recognition with | learning | -based descriptor |
| Face Representation | learning | using Composite Mini-Batches |
| Face Sketch Matching via Coupled Deep Transform | learning | |
| Face Super-resolution by | learning | Multi-view Texture Compensation |
| Face Super-Resolution via Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary | learning | |
| Face template protection using deep LDPC codes | learning | |
| Face, gender and race classification using multi-regularized features | learning | |
| Face-based Age and Gender Classification Using Deep | learning | Model |
| Face-TLD: Tracking- | learning | -Detection applied to faces |
| Face-to-Face Contrastive | learning | for Social Intelligence Question-Answering |
| FaceForensics++: | learning | to Detect Manipulated Facial Images |
| FaceID-GAN: | learning | a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis |
| FaceQgen: Semi-Supervised Deep | learning | for Face Image Quality Assessment |
| FaceSyncNet: A Deep | learning | -Based Approach for Non-Linear Synchronization of Facial Performance Videos |
| Facial Action Recognition Combining Heterogeneous Features via Multikernel | learning | |
| Facial Action Unit Detection Based on Teacher-Student | learning | Framework for Partially Occluded Facial Images |
| Facial Action Unit Detection Using Active | learning | and an Efficient Non-linear Kernel Approximation |
| Facial Action Unit Detection Using Attention and Relation | learning | |
| Facial action unit recognition under incomplete data based on multi-label | learning | with missing labels |
| Facial Affect Recognition Using Semi-supervised | learning | with Adaptive Threshold |
| Facial age estimation based on label-sensitive | learning | and age-oriented regression |
| Facial Age Estimation by Adaptive Label Distribution | learning | |
| Facial Age Estimation by | learning | from Label Distributions |
| Facial age estimation through self-paced | learning | |
| Facial aging simulation via tensor completion and metric | learning | |
| Facial Attribute Recognition by Recurrent | learning | With Visual Fixation |
| Facial Attributes Classification Using Multi-task Representation | learning | |
| Facial Chirality: From Visual Self-Reflection to Robust Facial Feature | learning | |
| Facial Depression Recognition by Deep Joint Label Distribution and Metric | learning | |
| Facial Emotion Distribution | learning | by Exploiting Low-Rank Label Correlations Locally |
| Facial Emotion Recognition with Varying Poses and/or Partial Occlusion Using Multi-stage Progressive Transfer | learning | |
| Facial Expression Recognition and Ordinal Intensity Estimation: A Multilabel | learning | Approach |
| Facial expression recognition based on discriminative dictionary | learning | |
| Facial Expression Recognition by De-expression Residue | learning | |
| Facial expression recognition using dual dictionary | learning | |
| Facial Expression Recognition Using Facial Features and Manifold | learning | |
| Facial expression recognition using intra-class variation reduced features and manifold regularisation dictionary pair | learning | |
| Facial Expression Recognition Using | learning | Vector Quantization |
| Facial Expression Recognition Using Light Field Cameras: A Comparative Study of Deep | learning | Architectures |
| Facial Expression Recognition Using Visual Saliency and Deep | learning | |
| Facial Expression Recognition via Joint Deep | learning | of RGB-Depth Map Latent Representations |
| Facial Expression Recognition with Data Augmentation and Compact Feature | learning | |
| Facial Expression Recognition with Identity and Emotion Joint | learning | |
| Facial image analysis using local feature adaptation prior to | learning | |
| Facial Landmark Detection by Deep Multi-task | learning | |
| Facial landmark detection transfer | learning | for a specific user in driver status monitoring systems |
| Facial Landmark Machines: A Backbone-Branches Architecture With Progressive Representation | learning | |
| Facial Model Fitting Based on Perturbation | learning | and It's Evaluation on Challenging Real-World Diversities Images |
| Facial Pose Estimation by Deep | learning | from Label Distributions |
| Facial Recognition in Collaborative | learning | Videos |
| Facial skin colour classification using machine | learning | and hyperspectral imaging data |
| Facial Video-Based Remote Physiological Measurement via Self-Supervised | learning | |
| FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute | learning | |
| Facing Uncertainty: 3D Face Tracking and | learning | with Generative Models |
| Facing uncertainty: three-dimensional face tracking and | learning | with generative models |
| Facsimiles-based deep | learning | for matching relief-printed decorations on medieval ceramic sherds |
| Factor Screening using Bayesian Active | learning | and Gaussian Process Meta-Modelling |
| Factor Selection for Reinforcement | learning | in HTTP Adaptive Streaming |
| Factorized Tensor Dictionary | learning | for Visual Tensor Data Completion |
| Factors in Emotion Recognition With Deep | learning | Models Using Speech and Text on Multiple Corpora |
| Factors of Influence for Transfer | learning | Across Diverse Appearance Domains and Task Types |
| Factual or Emotional: Stylized Image Captioning with Adaptive | learning | and Attention |
| Fair Contrastive | learning | for Facial Attribute Classification |
| Fair Loss: Margin-Aware Reinforcement | learning | for Deep Face Recognition |
| Fair Robust Active | learning | by Joint Inconsistency |
| Fairdisco: Fairer AI in Dermatology via Disentanglement Contrastive | learning | |
| Fairness by | learning | Orthogonal Disentangled Representations |
| Fake it Till You Make it: | learning | Transferable Representations from Synthetic ImageNet Clones |
| Fake Review Classification Using Supervised Machine | learning | |
| FakeCLR: Exploring Contrastive | learning | for Solving Latent Discontinuity in Data-Efficient GANs |
| FakeNED: A Deep | learning | Based-System for Fake News Detection from Social Media |
| Falling motion detection algorithm based on deep | learning | |
| False Correlation Reduction for Offline Reinforcement | learning | |
| False Correspondence Removal via Revisiting Semantic Context with Position-Attentive | learning | |
| FAM3L: Feature-Aware Multi-Modal Metric | learning | for Integrative Survival Analysis of Human Cancers |
| FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine | learning | |
| FAMNet: Joint | learning | of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking |
| Fantope Regularization in Metric | learning | |
| Far-sighted active | learning | on a budget for image and video recognition |
| Farmland Segmentation in Landsat 8 Satellite Images Using Deep | learning | and Conditional Generative Adversarial Networks |
| Fashion Editing With Adversarial Parsing | learning | |
| Fashion Image Retrieval with Text Feedback by Additive Attention Compositional | learning | |
| FashionViL: Fashion-Focused Vision-and-Language Representation | learning | |
| Fast 2D to 3D conversion using a clustering-based hierarchical search in a machine | learning | framework |
| Fast 3D-HEVC Depth Map Encoding Using Machine | learning | |
| Fast 3D-HEVC inter coding using data mining and machine | learning | |
| Fast A3RL: Aesthetics-Aware Adversarial Reinforcement | learning | for Image Cropping |
| Fast Accurate Fish Recognition with Deep | learning | Based on a Domain-Specific Large-Scale Fish Dataset |
| Fast active | learning | for hyperspectral image classification using extreme learning machine |
| Fast active | learning | for hyperspectral image classification using extreme learning machine |
| Fast Adaptation to Super-resolution Networks via Meta- | learning | |
| Fast Adaptive Active Noise Control Based on Modified Model-Agnostic Meta- | learning | Algorithm |
| Fast Adaptive Local Subspace | learning | With Regressive Regularization |
| Fast Adaptive Meta- | learning | for Few-Shot Image Generation |
| Fast Algorithm for | learning | a Ranking Function from Large-Scale Data Sets, A |
| Fast Algorithm for | learning | the Overcomplete Image Prior, A |
| Fast algorithm for multiple-circle detection on images using | learning | automata |
| Fast and Accurate Binary Halftone Image Resolution Increasing by Decision-tree | learning | |
| Fast and Accurate Terrain Image Classification for ASTER Remote Sensing by Data Stream Mining and Evolutionary-EAC Instance- | learning | -Based Algorithm |
| Fast and Adaptive Deep Fusion | learning | for Detecting Visual Objects |
| Fast and Calibrationless Low-Rank Parallel Imaging Reconstruction Through Unrolled Deep | learning | Estimation of Multi-Channel Spatial Support Maps |
| Fast and Efficient DNN Deployment via Deep Gaussian Transfer | learning | |
| Fast and Efficient Super-Resolution Network Using Hierarchical Dense Residual | learning | , A |
| Fast and Fine Location of Total Lightning from Low Frequency Signals Based on Deep- | learning | Encoding Features |
| Fast and high quality | learning | -based super-resolution utilizing TV regularization method |
| Fast and incoherent dictionary | learning | algorithms with application to fMRI |
| Fast and Informative Model Selection Using | learning | Curve Cross-Validation |
| Fast and low-complexity reinforcement | learning | for delay-sensitive energy harvesting wireless visual sensing systems |
| Fast and Robust Algorithm with Reinforcement | learning | for Large UAV Cluster Mission Planning, A |
| Fast and Robust Archetypal Analysis for Representation | learning | |
| Fast and robust face recognition via coding residual map | learning | based adaptive masking |
| Fast and robust FMRI unmixing using hierarchical dictionary | learning | |
| Fast Approximation of Non-Negative Sparse Recovery via Deep | learning | |
| Fast Asymmetric | learning | for Cascade Face Detection |
| Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space | learning | and Steerable Features |
| Fast bilateral complementary network for deep | learning | compressed sensing image reconstruction |
| Fast Binary Image Resolution Increasing by K-nearest Neighbor | learning | |
| Fast Bundle Algorithm for Multiple-Instance | learning | |
| Fast Camera Image Denoising on Mobile GPUs with Deep | learning | , Mobile AI 2021 Challenge: Report |
| Fast Cluster-Assumption Based Active- | learning | Technique for Classification of Remote Sensing Images, A |
| Fast competitive | learning | with classified learning rates for vector quantization |
| Fast competitive | learning | with classified learning rates for vector quantization |
| Fast CP-compression layer: Tensor CP-decomposition to compress layers in deep | learning | |
| Fast CU partition decision using machine | learning | for screen content compression |
| Fast CU partition-based machine | learning | approach for reducing HEVC complexity |
| Fast CU Partitioning Algorithm for HEVC Using an Online- | learning | -Based Bayesian Decision Rule |
| Fast CU size decision algorithm using machine | learning | for HEVC intra coding |
| Fast CU splitting and pruning method based on online | learning | for intra coding in HEVC |
| Fast deep autoencoder for federated | learning | |
| Fast Detection of Independent Motion in Crowds Guided by Supervised | learning | |
| Fast Dictionary | learning | for High-Dimensional Seismic Reconstruction |
| Fast dimensionality reduction and classification of hyperspectral images with extreme | learning | machines |
| Fast Drivable Area Detection for Autonomous Driving with Deep | learning | |
| Fast Dual Method for HIK SVM | learning | , A |
| Fast end-to-end | learning | on protein surfaces |
| fast fixed-point BYY harmony | learning | algorithm on Gaussian mixture with automated model selection, A |
| Fast Gradient Computation for | learning | with Tensor Product Kernels and Sparse Training Labels |
| Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task | learning | in Computer Vision Tasks for Robotic Grasping on the Edge |
| Fast H.264 Encoding Based on Statistical | learning | |
| Fast H.264 to HEVC Transcoding: A Deep | learning | Method |
| Fast Hand Detection in Collaborative | learning | Environments |
| Fast hard negative mining for deep metric | learning | |
| Fast human detection in RGB-D images based on color-depth joint feature | learning | |
| Fast image super-resolution via selective manifold | learning | of high-resolution patches |
| Fast Image Vector Quantization Using a Modified Competitive | learning | Neural Network Approach |
| Fast incremental | learning | for one-class support vector classifier using sample margin information |
| Fast Incremental | learning | Strategy Driven by Confusion Reject for Online Handwriting Recognition |
| Fast Inverse-Free Sparse Bayesian | learning | via Relaxed Evidence Lower Bound Maximization |
| Fast kernel | learning | for spatial pyramid matching |
| fast | learning | algorithm for Gabor transformation, A |
| fast | learning | algorithm for image segmentation with max-pooling convolutional networks, A |
| fast | learning | algorithm for multi-layer extreme learning machine, A |
| fast | learning | algorithm for multi-layer extreme learning machine, A |
| Fast | learning | and efficient memory utilization with a prototype based neural classifier |
| Fast | learning | and Invariant Object Recognition: The Sixth Generation Breakthrough |
| Fast | learning | for Customizable Head Pose Recognition in Robotic Wheelchair Control |
| Fast | learning | Framework for Denoising of Ultrasound 2D Videos and 3D Images |
| Fast | learning | from Label Proportions with Small Bags |
| Fast | learning | of Spatially Regularized and Content Aware Correlation Filter for Visual Tracking |
| Fast | learning | of Sprites using Invariant Features |
| Fast | learning | Radiance Fields by Shooting Much Fewer Rays |
| Fast | learning | -Based Single Image Super-Resolution |
| Fast | learning | -Based Split Type Prediction Algorithm for VVC |
| Fast Localization of Autonomous Vehicles Using Discriminative Metric | learning | |
| Fast Low-Rank Shared Dictionary | learning | for Image Classification |
| Fast Manifold | learning | Based on Riemannian Normal Coordinates |
| Fast Momentum Contrast | learning | for Unsupervised Person Re-Identification |
| Fast Multi-Instance Multi-Label | learning | |
| Fast multiple instance | learning | via L1,2 logistic regression |
| Fast on-line | learning | of point distribution models |
| fast online incremental | learning | method for object detection and pose classification using voting and combined appearance modeling, A |
| Fast Optimization Method for General Binary Code | learning | , A |
| Fast partitioning algorithm for HEVC Intra frame coding using machine | learning | |
| Fast Perceptual | learning | in Visual Hyperacuity |
| Fast Quaternion Product Units for | learning | Disentangled Representations in SO_3 |
| Fast Ray features for | learning | irregular shapes |
| Fast road scene segmentation using deep | learning | and scene-based models |
| Fast SAR Autofocus Based on Ensemble Convolutional Extreme | learning | Machine |
| Fast scene text localization by | learning | -based filtering and verification |
| Fast semi-supervised | learning | with anchor graph for large hyperspectral images |
| Fast Simplex-HMM for One-Shot | learning | Activity Recognition |
| Fast single image SR via dictionary | learning | |
| Fast Single Image Super-Resolution via Self-Example | learning | and Sparse Representation |
| Fast Single-Image Super-Resolution via Deep Network With Component | learning | |
| fast single-image super-resolution via directional edge-guided regularized extreme | learning | regression, A |
| Fast Sparse Aperture ISAR Autofocusing and Imaging via ADMM Based Sparse Bayesian | learning | |
| Fast Sparse Gaussian Processes | learning | for Man-Made Structure Classification |
| Fast Sparsity-Based Orthogonal Dictionary | learning | for Image Restoration |
| Fast Spatiotemporal | learning | Framework for Traffic Flow Forecasting |
| Fast spectral clustering | learning | with hierarchical bipartite graph for large-scale data |
| Fast subspace clustering by | learning | projective block diagonal representation |
| Fast Super-Resolution in MRI Images Using Phase Stretch Transform, Anchored Point Regression and Zero-Data | learning | |
| Fast Three-Dimensional Empirical Mode Decomposition of Hyperspectral Images for Class-Oriented Multitask | learning | |
| Fast tracking via context depth model | learning | |
| Fast transrating for high efficiency video coding based on machine | learning | |
| Fast unsupervised ego-action | learning | for first-person sports videos |
| Fast Unsupervised Greedy | learning | of Multiple Objects and Parts from Video |
| Fast Uyghur text detection in videos based on | learning | of baseline feature |
| Fast Visual Tracking via Dense Spatio-temporal Context | learning | |
| Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric | learning | |
| Fast-Convergent Federated | learning | via Cyclic Aggregation |
| Fast- | learning | Viewnet Architectures for Recognizing 3-Dimensional Objects from Multiple 2-Dimensional Views |
| Fast-MoCo: Boost Momentum-Based Contrastive | learning | with Combinatorial Patches |
| FastAL: Fast Evaluation Module for Efficient Dynamic Deep Active | learning | Using Broad Learning System |
| FastAL: Fast Evaluation Module for Efficient Dynamic Deep Active | learning | Using Broad Learning System |
| Faster and Better: A Machine | learning | Approach to Corner Detection |
| Faster and transferable deep | learning | steganalysis on GPU |
| Faster Autoaugment: | learning | Augmentation Strategies Using Backpropagation |
| Faster ILOD: Incremental | learning | for object detectors based on faster RCNN |
| Faster | learning | via optimised adaboost |
| Faster Meta Update Strategy for Noise-Robust Deep | learning | |
| Faster R-CNN | learning | -Based Semantic Filter for Geometry Estimation and Its Application in vSLAM Systems |
| FATAUVA-Net: An Integrated Deep | learning | Framework for Facial Attribute Recognition, Action Unit Detection, and Valence-Arousal Estimation |
| Fatigue Detection of Pilots' Brain Through Brains Cognitive Map and Multilayer Latent Incremental | learning | Model |
| Fatigue driving detection model based on multi-feature fusion and semi-supervised active | learning | |
| Fault point detection of IOT using multi-spectral image fusion based on deep | learning | |
| Fault Signal Perception of Nanofiber Sensor for 3D Human Motion Detection Using Multi-Task Deep | learning | |
| FCNet: | learning | Noise-Free Features for Point Cloud Denoising |
| FCUnet: Refined remote sensing image segmentation method based on a fuzzy deep | learning | conditional random field network |
| FDU-Net: Deep | learning | -Based Three-Dimensional Diffuse Optical Image Reconstruction |
| Fear-Neuro-Inspired Reinforcement | learning | for Safe Autonomous Driving |
| Feasibility of Combining Deep | learning | and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in Rice |
| Feasibility Study of using MyoBand for | learning | Electronic Keyboard |
| FeatFlow: | learning | geometric features for 3D motion estimation |
| Featmatch: Feature-based Augmentation for Semi-supervised | learning | |
| Feature Aggregation and Region-Aware | learning | for Detection of Splicing Forgery |
| Feature and Region Selection for Visual | learning | |
| Feature and Similarity | learning | for Computer Vision |
| Feature Augmentation for | learning | Confidence Measure in Stereo Matching |
| Feature combination with Multi-Kernel | learning | for fine-grained visual classification |
| Feature Decomposition and Reconstruction | learning | for Effective Facial Expression Recognition |
| Feature Discovery by Computer | learning | |
| Feature Disentanglement | learning | with Switching and Aggregation for Video-based Person Re-Identification |
| Feature Distribution Representation | learning | Based on Knowledge Transfer for Long-Tailed Classification |
| Feature Engineering and Deep | learning | for Stereo Matching Under Adverse Driving Conditions |
| Feature extraction and representation | learning | of 3D point cloud data |
| Feature extraction by | learning | Lorentzian metric tensor and its extensions |
| Feature Extraction Using Information-Theoretic | learning | |
| Feature fine-tuning and attribute representation transformation for zero-shot | learning | |
| Feature fusion and latent feature | learning | guided brain tumor segmentation and missing modality recovery network |
| Feature Fusion Ensemble Architecture With Active | learning | for Microscopic Blood Smear Analysis |
| Feature fusion for 3D hand gesture recognition by | learning | a shared hidden space |
| Feature fusion within local region using localized maximum-margin | learning | for scene categorization |
| Feature Generating Networks for Zero-Shot | learning | |
| Feature generation and machine | learning | for robust multimodal biometrics |
| Feature generation based on relation | learning | and image partition for occluded person re-identification |
| Feature Importance Ranking of Random Forest-Based End-to-End | learning | Algorithm |
| Feature incremental | learning | with causality |
| Feature Interaction Augmented Sparse | learning | for Fast Kinect Motion Detection |
| Feature Interaction | learning | Network for Cross-Spectral Image Patch Matching |
| Feature | learning | and change feature classification based on deep learning for ternary change detection in SAR images |
| Feature | learning | and change feature classification based on deep learning for ternary change detection in SAR images |
| Feature | learning | and Object Recognition Framework for Underwater Fish Images, A |
| Feature | learning | and patch matching for diverse image inpainting |
| Feature | learning | Based Approach for Weed Classification Using High Resolution Aerial Images from a Digital Camera Mounted on a UAV |
| Feature | learning | based on connectivity estimation for unbiased mammography mass classification |
| Feature | learning | for Footnote-Based Document Image Classification |
| Feature | learning | for One-Shot Face Recognition |
| Feature | learning | for Recognition with Bayesian Networks |
| Feature | learning | for SAR Target Recognition with Unknown Classes by Using CVAE-GAN |
| Feature | learning | for the Image Retrieval Task |
| Feature | learning | from Spectrograms for Assessment of Personality Traits |
| Feature | learning | Network with Transformer for Multi-Label Image Classification |
| Feature | learning | Using Bayesian Linear Regression Model |
| Feature | learning | using Generalized Extreme Value distribution based K-means clustering |
| Feature | learning | Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image |
| Feature | learning | via partial differential equation with applications to face recognition |
| Feature | learning | with a genetic algorithm for fluorescence fingerprinting of plant species |
| Feature | learning | with Rank-Based Candidate Selection for Product Search |
| Feature Mapping for | learning | Fast and Accurate 3D Pose Inference from Synthetic Images |
| Feature Pair Fusion and Hierarchical | learning | Framework for Video Re-Localization, A |
| Feature Passing | learning | for Image Steganalysis |
| Feature Point Matching in Cross-Spectral Images with Cycle Consistency | learning | |
| Feature refinement: An expression-specific feature | learning | and fusion method for micro-expression recognition |
| Feature Relevance | learning | with Query Shifting for Content-based Image Retrieval |
| Feature Relevance Network-Based Transfer | learning | for Indoor Location Estimation |
| Feature representation for statistical- | learning | -based object detection: A review |
| Feature Representation | learning | for Calving Detection of Cows Using Video Frames |
| Feature Representation | learning | for Unsupervised Cross-Domain Image Retrieval |
| Feature Representation | learning | with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition |
| Feature Representation Matters: End-to-end | learning | for Reference-based Image Super-resolution |
| Feature Selection and Kernel | learning | for Local Learning-Based Clustering |
| Feature Selection and Kernel | learning | for Local Learning-Based Clustering |
| Feature selection and | learning | curves of a multilayer perceptron chromosome classifier |
| Feature selection and | learning | for graphlet kernel |
| Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep | learning | |
| Feature Selection Based Transfer Subspace | learning | for Speech Emotion Recognition |
| Feature selection for semi supervised | learning | applied to image retrieval |
| Feature selection for unsupervised | learning | through local learning |
| Feature selection for unsupervised | learning | through local learning |
| Feature Selection using Search and | learning | |
| Feature Selection with Annealing for Computer Vision and Big Data | learning | |
| Feature Selection with Conjunctions of Decision Stumps and | learning | from Microarray Data |
| Feature Set Search Space for FuzzyBoost | learning | |
| Feature Similarity and Frequency-Based Weighted Visual Words Codebook | learning | Scheme for Human Action Recognition |
| Feature Space Warping Relevance Feedback with Transductive | learning | |
| Feature Tracking Cardiac Magnetic Resonance via Deep | learning | and Spline Optimization |
| Feature Transfer | learning | for Face Recognition With Under-Represented Data |
| Feature-aware unsupervised | learning | with joint variational attention and automatic clustering |
| Feature-based approach to semi-supervised similarity | learning | |
| Feature-Based | learning | Framework for Accurate Prostate Localization in CT Images, A |
| Feature-based transfer | learning | to train a novel cotton imaging system |
| Feature-Driven Active | learning | for Hyperspectral Image Classification |
| Feature-Extracting Functions for Neural Logic Rule | learning | |
| Feature-Induced Label Distribution for | learning | with Noisy Labels |
| Feature-Level Collaboration: Joint Unsupervised | learning | of Optical Flow, Stereo Depth and Camera Motion |
| Feature-metric Loss for Self-supervised | learning | of Depth and Egomotion |
| Feature-versus deep | learning | -based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study |
| FeatureNeRF: | learning | Generalizable NeRFs by Distilling Foundation Models |
| FeatureNMS: Non-Maximum Suppression by | learning | Feature Embeddings |
| Features Guided Face Super-Resolution via Hybrid Model of Deep | learning | and Random Forests |
| FedAffect: Few-shot federated | learning | for facial expression recognition |
| FedCL: Federated contrastive | learning | for multi-center medical image classification |
| FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated | learning | |
| FedCorr: Multi-Stage Federated | learning | for Label Noise Correction |
| FedCPF: An Efficient-Communication Federated | learning | Approach for Vehicular Edge Computing in 6G Communication Networks |
| FedCrack: Federated Transfer | learning | With Unsupervised Representation for Crack Detection |
| FedDC: Federated | learning | with Non-IID Data via Local Drift Decoupling and Correction |
| FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic | learning | in Continuous Frequency Space |
| FedDM: Iterative Distribution Matching for Communication-Efficient Federated | learning | |
| FedER: Federated | learning | through Experience Replay and privacy-preserving data synthesis |
| Federated Active | learning | for Multicenter Collaborative Disease Diagnosis |
| Federated Class-Incremental | learning | |
| Federated Cycling (FedCy): Semi-Supervised Federated | learning | of Surgical Phases |
| Federated Deep Reinforcement | learning | -Based Spectrum Access Algorithm With Warranty Contract in Intelligent Transportation Systems |
| Federated | learning | |
| Federated | learning | Approach With Imperfect Labels in LoRa-Based Transportation Systems, A |
| Federated | learning | based nonlinear two-stage framework for full-reference image quality assessment: An application for biometric |
| Federated | learning | Enabled Credit Priority Task Processing for Transportation Big Data |
| Federated | learning | for Commercial Image Sources |
| Federated | learning | for Computer Vision |
| Federated | learning | for medical image analysis: A survey |
| Federated | learning | for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment |
| Federated | learning | for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment |
| Federated | learning | in Non-IID Settings Aided by Differentially Private Synthetic Data |
| Federated | learning | of Generative Image Priors for MRI Reconstruction |
| Federated | learning | Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat |
| Federated | learning | System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN, A |
| Federated | learning | Via Inexact ADMM |
| Federated | learning | with Data-Agnostic Distribution Fusion |
| Federated | learning | with l1 regularization |
| Federated | learning | with Position-Aware Neurons |
| Federated | learning | With Privacy-Preserving Ensemble Attention Distillation |
| Federated | learning | -based colorectal cancer classification by convolutional neural networks and general visual representation learning |
| Federated | learning | -based colorectal cancer classification by convolutional neural networks and general visual representation learning |
| Federated | learning | -based Driver Activity Recognition for Edge Devices |
| Federated | learning | -Based Edge Caching Approach for Mobile Edge Computing-Enabled Intelligent Connected Vehicles, A |
| Federated Multidomain | learning | With Graph Ensemble Autoencoder GMM for Emotion Recognition |
| Federated Partially Supervised | learning | With Limited Decentralized Medical Images |
| Federated Representation | learning | With Data Heterogeneity for Human Mobility Prediction |
| Federated Self-supervised | learning | for Video Understanding |
| Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive | learning | |
| Federated Trace: A Node Selection Method for More Efficient Federated | learning | |
| Federated Unsupervised Cluster-Contrastive | learning | for person Re-identification: A coarse-to-fine approach |
| FedLID: Self-Supervised Federated | learning | for Leveraging Limited Image Data |
| FedLTN: Federated | learning | for Sparse and Personalized Lottery Ticket Networks |
| FEDMBP: Multi-Branch Prototype Federated | learning | on Heterogeneous Data |
| FedMix: Mixed Supervised Federated | learning | for Medical Image Segmentation |
| FedNI: Federated Graph | learning | With Network Inpainting for Population-Based Disease Prediction |
| FedNN: Federated | learning | on concept drift data using weight and adaptive group normalizations |
| FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated | learning | |
| FedRCIL: Federated Knowledge Distillation for Representation based Contrastive Incremental | learning | |
| FedSeg: Class-Heterogeneous Federated | learning | for Semantic Segmentation |
| FedSTN: Graph Representation Driven Federated | learning | for Edge Computing Enabled Urban Traffic Flow Prediction |
| FedX: Unsupervised Federated | learning | with Cross Knowledge Distillation |
| Feedback Adversarial | learning | : Spatial Feedback for Improving Generative Adversarial Networks |
| Feedback free DVC architecture using machine | learning | |
| Feedback mechanism based iterative metric | learning | for person re-identification |
| FEEL: Federated End-to-End | learning | With Non-IID Data for Vehicular Ad Hoc Networks |
| FEELVOS: Fast End-To-End Embedding | learning | for Video Object Segmentation |
| FEF-Net: A Deep | learning | Approach to Multiview SAR Image Target Recognition |
| Female Facial Beauty Analysis Using Transfer | learning | and Stacking Ensemble Model |
| Fenchel Duality Based Dictionary | learning | for Restoration of Noisy Images |
| FEND: A Future Enhanced Distribution-Aware Contrastive | learning | Framework for Long-Tail Trajectory Prediction |
| Fengyun-3D/MERSI-II Cloud Thermodynamic Phase Determination Using a Machine- | learning | Approach |
| Fetal Abdominal Standard Plane Localization through Representation | learning | with Knowledge Transfer |
| Fetal Congenital Heart Disease Echocardiogram Screening Based on DGACNN: Adversarial One-Class Classification Combined with Video Transfer | learning | |
| FeTrIL: Feature Translation for Exemplar-Free Class-Incremental | learning | |
| Feudal Steering: Hierarchical | learning | for Steering Angle Prediction |
| Few Labels are Enough! Semi-supervised Graph | learning | for Social Interaction |
| Few Shot | learning | |
| Few Shot | learning | for Infra-Red Object Recognition Using Analytically Designed Low Level Filters for Data Representation |
| Few Shot | learning | For Point Cloud Data Using Model Agnostic Meta Learning |
| Few Shot | learning | For Point Cloud Data Using Model Agnostic Meta Learning |
| Few Shot | learning | Framework to Reduce Inter-observer Variability in Medical Images |
| Few shot | learning | -based fast adaptation for human activity recognition |
| Few shots are all you need: A progressive | learning | approach for low resource handwritten text recognition |
| Few Zero Level Set-Shot | learning | of Shape Signed Distance Functions in Feature Space |
| Few-Class | learning | For Image-Classification-Aware Denoising |
| Few-Shot Action Recognition with Hierarchical Matching and Contrastive | learning | |
| Few-Shot Adversarial | learning | of Realistic Neural Talking Head Models |
| Few-Shot Aircraft Detection in Satellite Videos Based on Feature Scale Selection Pyramid and Proposal Contrastive | learning | |
| Few-Shot and Continual | learning | with Attentive Independent Mechanisms |
| Few-Shot Class Incremental | learning | Leveraging Self-Supervised Features |
| Few-Shot Class-Incremental | learning | |
| Few-Shot Class-Incremental | learning | by Sampling Multi-Phase Tasks |
| Few-Shot Class-Incremental | learning | for 3D Point Cloud Objects |
| Few-Shot Class-Incremental | learning | from an Open-Set Perspective |
| Few-Shot Class-Incremental | learning | via Class-Aware Bilateral Distillation |
| Few-Shot Class-Incremental | learning | via Compact and Separable Features for Fine-Grained Vehicle Recognition |
| Few-Shot Class-Incremental | learning | via Entropy-Regularized Data-Free Replay |
| Few-Shot Classification in Unseen Domains by Episodic Meta- | learning | Across Visual Domains |
| Few-Shot Classification of Aerial Scene Images via Meta- | learning | |
| Few-Shot Classification with Contrastive | learning | |
| Few-shot classification with task-adaptive semantic feature | learning | |
| Few-shot Continual Infomax | learning | |
| Few-Shot Contrastive Transfer | learning | With Pretrained Model for Masked Face Verification |
| Few-Shot Deep Adversarial | learning | for Video-Based Person Re-Identification |
| Few-Shot Few-Shot | learning | and the role of Spatial Attention |
| Few-Shot Font Generation by | learning | Fine-Grained Local Styles |
| Few-Shot Font Generation with Deep Metric | learning | |
| Few-Shot Hash | learning | for Image Retrieval |
| Few-Shot High-Resolution Range Profile Ship Target Recognition Based on Task-Specific Meta- | learning | with Mixed Training and Meta Embedding |
| Few-Shot Human Motion Prediction via Meta- | learning | |
| Few-Shot Hyperspectral Image Classification with Spectral-Spatial Feature Fusion Based on Fuzzy Broad | learning | System |
| Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep | learning | |
| Few-Shot Image Generation with Mixup-Based Distance | learning | |
| Few-Shot Incremental | learning | for Label-to-Image Translation |
| Few-shot incremental | learning | with continual prototype calibration for remote sensing image fine-grained classification |
| Few-Shot Incremental | learning | with Continually Evolved Classifiers |
| Few-shot Keypoint Detection with Uncertainty | learning | for Unseen Species |
| Few-shot | learning | Approach for Historical Ciphered Manuscript Recognition, A |
| Few-Shot | learning | Based on Metric Learning Using Class Augmentation |
| Few-Shot | learning | Based on Metric Learning Using Class Augmentation |
| Few-Shot | learning | by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation |
| Few-Shot | learning | by Integrating Spatial and Frequency Representation |
| Few-Shot | learning | for Crop Mapping from Satellite Image Time Series |
| Few-shot | learning | for dermatological conditions with Lesion Area Aware Swin Transformer |
| Few-Shot | learning | for face recognition in the presence of image discrepancies for limited multi-class datasets |
| Few-Shot | learning | for Fine-Grained Emotion Recognition Using Physiological Signals |
| Few-Shot | learning | for Image Denoising |
| Few-Shot | learning | for Post-Earthquake Urban Damage Detection |
| Few-shot | learning | for Prediction of Electricity Consumption Patterns |
| Few-Shot | learning | for Radar Emitter Signal Recognition Based on Improved Prototypical Network |
| Few-Shot | learning | for Radar Signal Recognition Based on Tensor Imprint and Re-Parameterization Multi-Channel Multi-Branch Model |
| Few-Shot | learning | for Remote Sensing Image Retrieval With MAML |
| Few-Shot | learning | in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network With Adaptive Sample Pair Formation |
| Few-Shot | learning | Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification |
| Few-Shot | learning | Method for SAR Images Based on Weighted Distance and Feature Fusion, A |
| Few-Shot | learning | Network for Moving Object Detection Using Exemplar-Based Attention Map |
| Few-Shot | learning | of Compact Models via Task-Specific Meta Distillation |
| Few-Shot | learning | of Part-Specific Probability Space for 3D Shape Segmentation |
| Few-Shot | learning | of Video Action Recognition Only Based on Video Contents |
| Few-Shot | learning | via Embedding Adaptation With Set-to-Set Functions |
| Few-Shot | learning | via Feature Hallucination with Variational Inference |
| Few-Shot | learning | via Saliency-Guided Hallucination of Samples |
| Few-shot | learning | via weighted prototypes from graph structure |
| Few-Shot | learning | With a Strong Teacher |
| Few-Shot | learning | With Attention-Weighted Graph Convolutional Networks For Hyperspectral Image Classification |
| Few-Shot | learning | With Class-Covariance Metric for Hyperspectral Image Classification |
| Few-Shot | learning | with Complex-Valued Neural Networks and Dependable Learning |
| Few-Shot | learning | with Complex-Valued Neural Networks and Dependable Learning |
| Few-Shot | learning | With Embedded Class Models and Shot-Free Meta Training |
| Few-Shot | learning | With Global Class Representations |
| Few-Shot | learning | With Localization in Realistic Settings |
| Few-shot | learning | with Noisy Labels |
| Few-shot | learning | with Online Self-Distillation |
| Few-shot | learning | with relation propagation and constraint |
| Few-shot | learning | with Unlabeled Outlier Exposure |
| Few-shot | learning | with unsupervised part discovery and part-aligned similarity |
| Few-Shot | learning | with Visual Distribution Calibration and Cross-Modal Distribution Alignment |
| few-shot | learning | -based ischemic stroke segmentation system using weighted MRI fusion, A |
| Few-shot Metric | learning | : Online Adaptation of Embedding for Retrieval |
| Few-Shot Multi-Agent Perception With Ranking-Based Feature | learning | |
| Few-shot node classification on attributed networks based on deep metric | learning | for Cyber-Physical-Social Services |
| Few-shot object detection via baby | learning | |
| Few-Shot Open-Set Recognition Using Meta- | learning | |
| Few-Shot Partial Multi-View | learning | |
| Few-shot personalized saliency prediction using meta- | learning | |
| Few-Shot PolSAR Ship Detection Based on Polarimetric Features Selection and Improved Contrastive Self-Supervised | learning | |
| Few-Shot Remote Sensing Image Scene Classification Based on Metric | learning | and Local Descriptors |
| Few-Shot Scene Adaptive Crowd Counting Using Meta- | learning | |
| Few-Shot Segmentation for Prohibited Items Inspection With Patch-Based Self-Supervised | learning | and Prototype Reverse Validation |
| Few-Shot Segmentation Without Meta- | learning | : A Good Transductive Inference Is All You Need? |
| Few-shot symbol classification via self-supervised | learning | and nearest neighbor |
| Few-Shot Temporal Sentence Grounding via Memory-Guided Semantic | learning | |
| Few-Shot Video Classification via Representation Fusion and Promotion | learning | |
| Few-shot Website Fingerprinting attack with Meta-Bias | learning | |
| Few-shot Zero-shot | learning | : Knowledge Transfer with Less Supervision |
| FewFaceNet: A Lightweight Few-Shot | learning | -based Incremental Face Authentication for Edge Cameras |
| FFNet: Video Fast-Forwarding via Reinforcement | learning | |
| FGBC: Flexible graph-based balanced classifier for class-imbalanced semi-supervised | learning | |
| FgbCNN: A unified bilinear architecture for | learning | a fine-grained feature representation in facial expression recognition |
| FgGAN: A Cascaded Unpaired | learning | for Background Estimation and Foreground Segmentation |
| Field-Guide-Inspired Zero-Shot | learning | |
| Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep | learning | |
| Fields of Experts: A Framework for | learning | Image Priors |
| FIFO: | learning | Fog-invariant Features for Foggy Scene Segmentation |
| Fighting Over-Fitting with Quantization for | learning | Deep Neural Networks on Noisy Labels |
| FIgLib & SmokeyNet: Dataset and Deep | learning | Model for Real-Time Wildland Fire Smoke Detection |
| Figure-Ground Image Segmentation Helps Weakly-Supervised | learning | of Objects |
| Figure/ground video segmentation via low-rank sparse | learning | |
| Filter Forests for | learning | Data-Dependent Convolutional Kernels |
| Finding Small-Bowel Lesions: Challenges in Endoscopy-Image-Based | learning | Systems |
| Finding Task-Relevant Features for Few-Shot | learning | by Category Traversal |
| Fine Classification Method for Massive Microseismic Signals Based on Short-Time Fourier Transform and Deep | learning | |
| Fine Detailed Texture | learning | for 3D Meshes With Generative Models |
| Fine Gaze Redirection | learning | with Gaze Hardness-aware Transformation |
| Fine Resolution Mapping of Soil Organic Carbon in Croplands with Feature Selection and Machine | learning | in Northeast Plain China |
| Fine-grained Angular Contrastive | learning | with Coarse Labels |
| Fine-grained bird species recognition via hierarchical subset | learning | |
| Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric | learning | with Humans in the Loop |
| Fine-Grained Classification of Hyperspectral Imagery Based on Deep | learning | |
| Fine-Grained Fashion Representation | learning | by Online Deep Clustering |
| Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding | learning | |
| Fine-grained Foreground Retrieval via Teacher-Student | learning | |
| Fine-Grained Generalized Zero-Shot | learning | via Dense Attribute-Based Attention |
| Fine-grained Generation for Zero-shot | learning | |
| Fine-Grained Image Analysis with Deep | learning | : A Survey |
| Fine-grained Image-text Retrieval via Complementary Feature | learning | |
| Fine-Grained Image-Text Retrieval via Discriminative Latent Space | learning | |
| Fine-Grained Large-Scale Vulnerable Communities Mapping via Satellite Imagery and Population Census Using Deep | learning | |
| Fine-Grained Object Recognition and Zero-Shot | learning | in Remote Sensing Imagery |
| Fine-Grained Predicates | learning | for Scene Graph Generation |
| Fine-Grained Road Quality Monitoring Using Deep | learning | |
| Fine-Grained Service-Level Passenger Flow Prediction for Bus Transit Systems Based on Multitask Deep | learning | |
| Fine-Grained Shape-Appearance Mutual | learning | for Cloth-Changing Person Re-Identification |
| Fine-grained Temporal Contrastive | learning | for Weakly-supervised Temporal Action Localization |
| Fine-Grained Traffic Flow Prediction of Various Vehicle Types via Fusion of Multisource Data and Deep | learning | Approaches |
| Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta- | learning | |
| Fine-Grained Vehicle Classification with Unsupervised Parts Co-occurrence | learning | |
| Fine-Grained Video Captioning via Graph-based Multi-Granularity Interaction | learning | |
| Fine-Grained Visual Categorization Using Meta- | learning | Optimization with Sample Selection of Auxiliary Data |
| Fine-grained visual categorization via multi-stage metric | learning | |
| Fine-Grained Visual Classification via Internal Ensemble | learning | Transformer |
| Fine-Grained Visual Comparisons with Local | learning | |
| Fine-Grained Visual-Textual Representation | learning | |
| Fine-Level Semantic Labeling of Large-Scale 3D Model by Active | learning | |
| Fine-scale characterization of irrigated and rainfed croplands at national scale using multi-source data, random forest, and deep | learning | algorithms |
| Fine-Scale Mapping of Natural Ecological Communities Using Machine | learning | Approaches |
| Fine-Scale Mapping of Soil Organic Matter in Agricultural Soils Using UAVs and Machine | learning | |
| Fine-Tuning Deep Neural Networks in Continuous | learning | Scenarios |
| Fine-Tuning for Bayer Demosaicking Through Periodic-Consistent Self-Supervised | learning | |
| Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated | learning | |
| FineHand: | learning | Hand Shapes for American Sign Language Recognition |
| Finger Vein Recognition Model for Biometric Authentication Using Intelligent Deep | learning | |
| Fingerprint classification based on Adaboost | learning | from singularity features |
| Finite asymmetric generalized Gaussian mixture models | learning | for infrared object detection |
| First Approach to Aerosol Classification Using Space-Borne Measurement Data: Machine | learning | -Based Algorithm and Evaluation, A |
| First Investigation into the Use of Deep | learning | for Continuous Assessment of Neonatal Postoperative Pain |
| First Investigation of Mediterranean Oak Tree Vitality With High-resolution Worldview-3 Satellite Data: Comparing Ten Vegetation Indices and Three Machine | learning | Classifiers |
| First Results on Wake Detection in SAR Images by Deep | learning | |
| First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental | learning | |
| First Step towards Meteosat Third Generation Day-2 Precipitation Rate Product: Deep | learning | for Precipitation Rate Retrieval from Geostationary Infrared Measurements, A |
| First- and Second-Order Methods for Online Convolutional Dictionary | learning | |
| First- And Third-Person Video Co-Analysis By | learning | Spatial-Temporal Joint Attention |
| First-Person Action Decomposition and Zero-Shot | learning | |
| First-Person Activity Forecasting from Video with Online Inverse Reinforcement | learning | |
| First-Person Activity Forecasting with Online Inverse Reinforcement | learning | |
| Fisher Discrimination Dictionary | learning | for sparse representation |
| Fisheye Multiple Object Tracking by | learning | Distortions Without Dewarping |
| FishNet: Fish visual recognition with one stage multi-task | learning | |
| FissureNet: A Deep | learning | Approach For Pulmonary Fissure Detection in CT Images |
| FISTA-Net: | learning | a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging |
| Fixation bank: | learning | to reweight fixation candidates |
| Fixed Point | learning | Based 3D Conversion of 2D Videos |
| Fixed-rank representation for unsupervised visual | learning | |
| Fixed-sized representation | learning | from offline handwritten signatures of different sizes |
| Flash Flood Risk Analysis Based on Machine | learning | Techniques in the Yunnan Province, China |
| Flash Flood Susceptibility Modeling and Magnitude Index Using Machine | learning | and Geohydrological Models: A Modified Hybrid Approach |
| Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine | learning | Algorithms |
| Flash Flood Water Depth Estimation Using SAR Images, Digital Elevation Models, and Machine | learning | Algorithms |
| Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine | learning | Supported by Remote Sensing and GIS Techniques |
| Flashback for Continual | learning | |
| FLeak-Seg: Automated Fundus Fluorescein Leakage Segmentation via Cross-Modal Attention | learning | |
| FleBiC: | learning | classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns |
| Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-Agent Deep Reinforcement | learning | Approach |
| Flexible and Latent Structured Output | learning | , Application to Histology |
| Flexible Clustered Multi-Task | learning | by Learning Representative Tasks |
| Flexible Clustered Multi-Task | learning | by Learning Representative Tasks |
| flexible framework for online document segmentation by pairwise stroke distance | learning | , A |
| Flexible High-Dimensional Unsupervised | learning | with Missing Data |
| Flexible Manifold | learning | With Optimal Graph for Image and Video Representation |
| Flexible Selection Scheme for Minimum-Effort Transfer | learning | , A |
| Flexible Sequence Matching technique: An effective | learning | -free approach for word spotting |
| FlexPool: A Distributed Model-Free Deep Reinforcement | learning | Algorithm for Joint Passengers and Goods Transportation |
| FLOAT: Factorized | learning | of Object Attributes for Improved Multi-object Multi-part Scene Parsing |
| FloatBoost | learning | and Statistical Face Detection |
| Floating search algorithm for structure | learning | of Bayesian network classifiers |
| Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine | learning | Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier |
| Flood Inundation Mapping from Optical Satellite Images Using Spatiotemporal Context | learning | and Modest AdaBoost |
| Flood Monitoring in the Middle and Lower Basin of the Yangtze River Using Google Earth Engine and Machine | learning | Methods |
| Flood Susceptibility Assessment with Random Sampling Strategy in Ensemble | learning | (RF and XGBoost) |
| Flood Susceptibility Mapping Using SAR Data and Machine | learning | Algorithms in a Small Watershed in Northwestern Morocco |
| FloodNet: Underwater image restoration based on residual dense | learning | |
| FloorLevel-Net: Recognizing Floor-Level Lines With Height-Attention-Guided Multi-Task | learning | |
| Flow mosaicking: Real-time pedestrian counting without scene-specific | learning | |
| Flow2Stereo: Effective Self-Supervised | learning | of Optical Flow and Stereo Matching |
| FlowBoost: Appearance | learning | from sparsely annotated video |
| Flowdometry: An Optical Flow and Deep | learning | Based Approach to Visual Odometry |
| FlowNet3D: | learning | Scene Flow in 3D Point Clouds |
| FlowNet: | learning | Optical Flow with Convolutional Networks |
| FLUTE: Fuzzy | learning | In Unfamiliar Teacher Environments |
| FML: Face Model | learning | From Videos |
| FNN-Based adaptive iterative | learning | control for a class of nonlinear discrete-time systems, An |
| FOAL: Fast Online Adaptive | learning | for Cardiac Motion Estimation |
| Focal | learning | on stranger for imbalanced image segmentation |
| FocalMix: Semi-Supervised | learning | for 3D Medical Image Detection |
| FoCL: Feature-oriented continual | learning | for generative models |
| Focus and Align: | learning | Tube Tokens for Video-Language Pre-Training |
| Focus on Scene Text Using Deep Reinforcement | learning | |
| Focus on the Positives: Self-Supervised | learning | for Biodiversity Monitoring |
| Focus the Discrepancy: Intra- and Inter-Correlation | learning | for Image Anomaly Detection |
| Focus Your Attention: A Focal Attention for Multimodal | learning | |
| FocusFace: Multi-task Contrastive | learning | for Masked Face Recognition |
| Focusing Fine-Grained Action by Self-Attention-Enhanced Graph Neural Networks With Contrastive | learning | |
| Focusing on What is Relevant: Time-Series | learning | and Understanding using Attention |
| Foley Music: | learning | to Generate Music from Videos |
| Font Recognition in Natural Images via Transfer | learning | |
| Food and Ingredient Joint | learning | for Fine-Grained Recognition |
| Food Image Classification: The Benefit of In-domain Transfer | learning | |
| food image recognition system with Multiple Kernel | learning | , A |
| Forecasting Ionospheric foF2 Based on Deep | learning | Method |
| Forecasting Irreversible Disease via Progression | learning | |
| Forecasting PM10 Levels Using Machine | learning | Models in the Arctic: A Comparative Study |
| Forecasting Regional Ionospheric TEC Maps over China Using BiConvGRU Deep | learning | |
| Forecasting the Propagation from Meteorological to Hydrological and Agricultural Drought in the Huaihe River Basin with Machine | learning | Methods |
| Foreground Detection With Simultaneous Dictionary | learning | and Historical Pixel Maintenance |
| Foreground Focus: Unsupervised | learning | from Partially Matching Images |
| Forensic Face Photo-Sketch Recognition Using a Deep | learning | -Based Architecture |
| Forensic Scanner Identification Using Machine | learning | |
| Forest Aboveground Biomass Estimation Using Machine | learning | Ensembles: Active Learning Strategies for Model Transfer and Field Sampling Reduction |
| Forest Aboveground Biomass Estimation Using Machine | learning | Ensembles: Active Learning Strategies for Model Transfer and Field Sampling Reduction |
| Forest Aboveground Biomass Estimation Using Multisource Remote Sensing Data and Deep | learning | Algorithms: A Case Study over Hangzhou Area in China |
| Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine | learning | Methods |
| Forest Conservation with Deep | learning | : A Deeper Understanding of Human Geography around the Betampona Nature Reserve, Madagascar |
| Forest Damage Assessment Using Deep | learning | on High Resolution Remote Sensing Data |
| Forest Damage by Super Typhoon Rammasun and Post-Disturbance Recovery Using Landsat Imagery and the Machine- | learning | Method |
| Forest Disturbance Detection with Seasonal and Trend Model Components and Machine | learning | Algorithms |
| Forest Fire Occurrence Prediction in China Based on Machine | learning | Methods |
| Forest Fire Susceptibility Prediction Based on Machine | learning | Models with Resampling Algorithms on Remote Sensing Data |
| Forest Height Mapping Using Feature Selection and Machine | learning | by Integrating Multi-Source Satellite Data in Baoding City, North China |
| Forestry Scene Geometry Estimation Via Statistical | learning | |
| Foreword to the Special Issue on Machine | learning | for Geospatial Data Analysis |
| Forgery Detection by Internal Positional | learning | of Demosaicing Traces |
| Forgetful Active | learning | with Switch Events: Efficient Sampling for Out-of-Distribution Data |
| Forgetting to Remember: A Scalable Incremental | learning | Framework for Cross-Task Blind Image Quality Assessment |
| Forgetting, | learning | without Forgetting, Convolutional Neural Networks |
| Formal Machine- | learning | Approach to Generating Human-Machine Interfaces From Task Models, A |
| Formation iterative | learning | control for multi-agent systems with higher-order dynamics |
| Formation | learning | Control of Multiple Autonomous Underwater Vehicles With Heterogeneous Nonlinear Uncertain Dynamics |
| Forming Adversarial Example Attacks Against Deep Neural Networks With Reinforcement | learning | |
| FormNet: Formatted | learning | for Image Restoration |
| FormResNet: Formatted Residual | learning | for Image Restoration |
| Formula-driven Supervised | learning | with Recursive Tiling Patterns |
| Formulating Semantic Image Annotation as a Supervised | learning | Problem |
| Formulation of | learning | Vector Quantization Using a New Misclassification Measure, A |
| Formulation of Two Stage Multiple Kernel | learning | Using Regression Framework |
| Forward Compatible Few-Shot Class-Incremental | learning | |
| Forward Diffusion Guided Reconstruction as a Multi-Modal Multi-Task | learning | Scheme |
| FOSTER: Feature Boosting and Compression for Class-Incremental | learning | |
| Fostering Generalization in Single-view 3D Reconstruction by | learning | a Hierarchy of Local and Global Shape Priors |
| Foundation Model Drives Weakly Incremental | learning | for Semantic Segmentation |
| Foundations and Trends® in Machine | learning | |
| Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space | learning | and Steerable Features |
| Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep | learning | |
| Fourier Kernel | learning | |
| Fourier Series and Laplacian Noise-Based Quantization Error Compensation for End-to-End | learning | -Based Image Compression |
| FP-AGL: Filter Pruning With Adaptive Gradient | learning | for Accelerating Deep Convolutional Neural Networks |
| FPC-Net: | learning | to detect face forgery by adaptive feature fusion of patch correlation with CG-Loss |
| FPConv: | learning | Local Flattening for Point Convolution |
| FPGA Implementation of Pyramidal Weightless Neural Networks | learning | System |
| FPGA-based favourite skin colour restoration using improved histogram equalization with variable enhancement degree and ensemble extreme | learning | machine |
| FPGA: Fast Patch-Free Global | learning | Framework for Fully End-to-End Hyperspectral Image Classification |
| FPR using machine | learning | with multi-feature method |
| Fragment-based tracking using online multiple kernel | learning | |
| Fragmentary label distribution | learning | via graph regularized maximum entropy criteria |
| Frame Averaging for Equivariant Shape Space | learning | |
| Frame by Frame Pain Estimation Using Locally Spatial Attention | learning | |
| Frame-level Feature Tokenization | learning | for Human Body Pose and Shape Estimation |
| Frame-part-activated deep reinforcement | learning | for Action Prediction |
| Frame-wise Action Representations for Long Videos via Sequence Contrastive | learning | |
| Frame-Wise Detection of Double HEVC Compression by | learning | Deep Spatio-Temporal Representations in Compression Domain |
| FrameNet: | learning | Local Canonical Frames of 3D Surfaces From a Single RGB Image |
| Framework for Activity Recognition Through Deep | learning | and Abnormality Detection in Daily Activities, A |
| framework for breast cancer prediction and classification using deep | learning | , A |
| framework for dynamic restructuring of semantic video analysis systems based on | learning | attention control, A |
| Framework for Efficient Structured Max-Margin | learning | of High-Order MRF Models, A |
| Framework for image retrieval using machine | learning | and statistical similarity matching techniques |
| Framework for Indoor Elements Classification via Inductive | learning | on Floor Plan Graphs |
| Framework for | learning | Ante-hoc Explainable Models via Concepts, A |
| Framework for | learning | Depth From a Flexible Subset of Dense and Sparse Light Field Views, A |
| Framework for | learning | Query Concepts in Image Classification, A |
| framework for | learning | to recognize and segment object classes using weakly supervised training data, A |
| Framework for Robust Subspace | learning | , A |
| Framework Integrating DeeplabV3+, Transfer | learning | , Active Learning, and Incremental Learning for Mapping Building Footprints, A |
| Framework Integrating DeeplabV3+, Transfer | learning | , Active Learning, and Incremental Learning for Mapping Building Footprints, A |
| Framework Integrating DeeplabV3+, Transfer | learning | , Active Learning, and Incremental Learning for Mapping Building Footprints, A |
| Framework of Travel Mode Identification Fusing Deep | learning | and Map-Matching Algorithm, A |
| Framework to Predict High-Resolution Spatiotemporal PM2.5 Distributions Using a Deep- | learning | Model: A Case Study of Shijiazhuang, China, A |
| Frameworks for Privacy-Preserving Federated | learning | |
| Frank-Wolfe-based Multi-task | learning | for Historical Document Restoration |
| Frankenstein: | learning | Deep Face Representations Using Small Data |
| FRAug: Tackling Federated | learning | with Non-IID Features via Representation Augmentation |
| Free-hand sketch recognition by multi-kernel feature | learning | |
| FREE: Feature Refinement for Generalized Zero-Shot | learning | |
| FreeCOS: Self-Supervised | learning | from Fractals and Unlabeled Images for Curvilinear Object Segmentation |
| FreeSOLO: | learning | to Segment Objects without Annotations |
| Frequency Agile Anti-Interference Technology Based on Reinforcement | learning | Using Long Short-Term Memory and Multi-Layer Historical Information Observation |
| Frequency | learning | attention networks based on deep learning for automatic modulation classification in wireless communication |
| Frequency | learning | attention networks based on deep learning for automatic modulation classification in wireless communication |
| Frequency-aware Discriminative Feature | learning | Supervised by Single-Center Loss for Face Forgery Detection |
| Frequency-Aware Self-Supervised Long-Tailed | learning | |
| Frequency-Relevant Residual | learning | for Multi-Modal Image Denoising |
| Frequency-Wavenumber Analysis of Deep | learning | -based Super Resolution 3D GPR Images |
| Fresh Tea Shoot Maturity Estimation via Multispectral Imaging and Deep Label Distribution | learning | |
| FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation | learning | |
| From aging to early-stage Alzheimer's: Uncovering handwriting multimodal behaviors by semi-supervised | learning | and sequential representation learning |
| From aging to early-stage Alzheimer's: Uncovering handwriting multimodal behaviors by semi-supervised | learning | and sequential representation learning |
| From Big to Small: Adaptive | learning | to Partial-Set Domains |
| From center to surrounding: An interactive | learning | framework for hyperspectral image classification |
| From Classical to Generalized Zero-Shot | learning | : A Simple Adaptation Process |
| From crowd to herd counting: How to precisely detect and count African mammals using aerial imagery and deep | learning | ? |
| From Emotions to Action Units with Hidden and Semi-Hidden-Task | learning | |
| From Face Recognition to Models of Identity: A Bayesian Approach to | learning | About Unknown Identities from Unsupervised Data |
| From Face to Gait: Weakly-Supervised | learning | of Gender Information from Walking Patterns |
| From Face to Natural Image: | learning | Real Degradation for Blind Image Super-Resolution |
| From Facial Parts Responses to Face Detection: A Deep | learning | Approach |
| From Feline Classification to Skills Evaluation: A Multitask | learning | Framework for Evaluating Micro Suturing Neurosurgical Skills |
| From foot to head: Active face finding using deep Q- | learning | |
| From generalized zero-shot | learning | to long-tail with class descriptors |
| From Global to Local: Multi-Patch and Multi-Scale Contrastive Similarity | learning | for Unsupervised Defocus Blur Detection |
| From Gradient Leakage To Adversarial Attacks In Federated | learning | |
| From Handcrafted to Deep- | learning | -Based Cancer Radiomics: Challenges and opportunities |
| From Heuristic Optimization to Dictionary | learning | : A Review and Comprehensive Comparison of Image Denoising Algorithms |
| From Image to Stability: | learning | Dynamics from Human Pose |
| From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot | learning | |
| From | learning | individual actions to 3D animation of team sports |
| From | learning | models of natural image patches to whole image restoration |
| From | learning | Objects to Learning Environments: Biological and Computational Neural Systems |
| From | learning | Objects to Learning Environments: Biological and Computational Neural Systems |
| From Less to More: Progressive Generalized Zero-Shot Detection With Curriculum | learning | |
| From Local Geometry to Global Structure: | learning | Latent Subspace for Low-resolution Face Image Recognition |
| From local to global: A transfer | learning | -based approach for mapping poplar plantations at national scale using Sentinel-2 |
| From machine generated to handwritten character recognition; a deep | learning | approach |
| From Macro to Micro Expression Recognition: Deep | learning | on Small Datasets Using Transfer Learning |
| From Macro to Micro Expression Recognition: Deep | learning | on Small Datasets Using Transfer Learning |
| From Model-Based Optimization Algorithms to Deep | learning | Models for Clustering Hyperspectral Images |
| From Motion Blur to Motion Flow: A Deep | learning | Solution for Removing Heterogeneous Motion Blur |
| From N to N+1: Multiclass Transfer Incremental | learning | |
| From neonatal to adult brain MR image segmentation in a few seconds using 3D-like fully convolutional network and transfer | learning | |
| From Node Interaction to Hop Interaction: New Effective and Scalable Graph | learning | Paradigm |
| From On-Road to Off: Transfer | learning | Within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes |
| From one to many: Pose-Aware Metric | learning | for single-sample face recognition |
| From operational to tactical driving: A hybrid | learning | approach for autonomous vehicles |
| From patch, sample to domain: Capture geometric structures for few-shot | learning | |
| From Pixels to Actions: | learning | to Drive a Car with Deep Neural Networks |
| From pixels to gestures: | learning | visual representations for human analysis in color and depth data sequences |
| From Point to Set: Extend the | learning | of Distance Metrics |
| From Rocks to Walls: a Model-free Reinforcement | learning | Approach to Dry Stacking with Irregular Rocks |
| From Scarcity to Understanding: Transfer | learning | for the Extremely Low Resource Irish Sign Language |
| From Show to Tell: A Survey on Deep | learning | -Based Image Captioning |
| From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine | learning | |
| From Video to Hyperspectral: Hyperspectral Image-Level Feature Extraction with Transfer | learning | |
| From W-Net to CDGAN: Bitemporal Change Detection via Deep | learning | Techniques |
| From Zero-Shot | learning | to Conventional Supervised Classification: Unseen Visual Data Synthesis |
| Frontalization and adaptive exponential ensemble rule for deep- | learning | -based facial expression recognition system |
| Fruit Classification for Retail Stores Using Deep | learning | |
| Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement | learning | |
| FSA-Net: | learning | Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image |
| FSI: Frequency and Spatial Interactive | learning | for Image Restoration in Under-Display Cameras |
| FSRNet: End-to-End | learning | Face Super-Resolution with Facial Priors |
| Fuel-Efficient Switching Control for Platooning Systems With Deep Reinforcement | learning | |
| FuelNet: An Artificial Neural Network for | learning | and Updating Fuel Types for Fire Research |
| full resolution deep | learning | network for paddy rice mapping using Landsat data, A |
| Full-reference IPTV image quality assessment by deeply | learning | structural cues |
| Full-Reference Quality Assessment of Stereoscopic Images by | learning | Binocular Receptive Field Properties |
| Full-Scene Defocus Blur Detection With DeFBD+ via Multi-Level Distillation | learning | |
| Fully and Weakly Supervised Referring Expression Segmentation With End-to-End | learning | |
| Fully Associative Ensemble | learning | for Hierarchical Multi-Label Classification |
| Fully Automated Multimodal MRI-Based Multi-Task | learning | for Glioma Segmentation and IDH Genotyping, A |
| Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine | learning | Methods |
| Fully Automated Segmentation of 2D and 3D Mobile Mapping Data for Reliable Modeling of Surface Structures Using Deep | learning | |
| Fully Automatic Segmentation of the Left Ventricle Using Multi-Scale Fusion | learning | |
| Fully Automatic, Interpretable and Adaptive Machine | learning | Approach to Map Burned Area from Remote Sensing, A |
| Fully Cascade Consistency | learning | for One-Stage Object Detection |
| Fully Convolutional Networks with Multiscale 3D Filters and Transfer | learning | for Change Detection in High Spatial Resolution Satellite Images |
| Fully Decomposed Singular Value and Fixed Dictionary Extreme | learning | Machine for Bogie Fault Diagnosis |
| Fully Deep Simple Online Real-time Tracking: Efficient Re-Identification by Attention without Explicit Similarity | learning | |
| Fully End-to-End | learning | Based Conditional Boundary Equilibrium GAN with Receptive Field Sizes Enlarged for Single Ultra-High Resolution Image Dehazing |
| Fully Unsupervised | learning | of Camera Link Models for Tracking Humans Across Nonoverlapping Cameras |
| Fully Unsupervised Machine | learning | Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products, A |
| Fully-Automated Spike Detection and Dipole Analysis of Epileptic MEG Using Deep | learning | |
| Fully-Binarized Distance Computation based On-device Few-Shot | learning | for XR applications |
| Fully-weighted HGNN: | learning | efficient non-local relations with hypergraph in aerial imagery |
| Functional Brain Network Classification Based on Deep Graph Hashing | learning | |
| Functional Knowledge Transfer with Self-supervised Representation | learning | |
| Functional | learning | of Kernels for Information Fusion Purposes |
| Functional neural interactions during adaptive reward | learning | : An functional magnetic resonance imaging study |
| Functions of Multiple Instances for | learning | Target Signatures |
| Fundamental Principles on | learning | New Features for Effective Dense Matching |
| Fundamental Visual Concept | learning | From Correlated Images and Text |
| Fundus Image-Label Pairs Synthesis and Retinopathy Screening via GANs With Class-Imbalanced Semi-Supervised | learning | |
| FUNNRAR: Hybrid rarity/ | learning | visual saliency |
| Funnynet: Audiovisual | learning | of Funny Moments in Videos |
| Furrow Mapping of Sugarcane Billet Density Using Deep | learning | and Object Detection |
| Fuse and Attend: Generalized Embedding | learning | for Art and Sketches |
| Fused Discriminative Metric | learning | for Low Resolution Pedestrian Detection |
| Fused Method of Machine | learning | and Dynamic Time Warping for Road Anomalies Detection, A |
| Fused Sparse Network | learning | for Longitudinal Analysis of Mild Cognitive Impairment |
| FuseGAN: | learning | to Fuse Multi-Focus Image via Conditional Generative Adversarial Network |
| Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep | learning | Approach |
| Fusing dual-tree quaternion wavelet transform and local mesh based features for grading of diabetic retinopathy using extreme | learning | machine classifier |
| Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement | learning | |
| Fusing Robust Face Region Descriptors via Multiple Metric | learning | for Face Recognition in the Wild |
| Fusing the Old with the New: | learning | Relative Camera Pose with Geometry-Guided Uncertainty |
| Fusion | learning | using Semantics and Graph Convolutional Network for Visual Food Recognition |
| Fusion of Deep | learning | and Compressed Domain Features for Content-Based Image Retrieval |
| Fusion of Deep | learning | Architectures and Particle Filtering Applied to Lip Tracking, The |
| Fusion of Deep | learning | Descriptors for Gesture Recognition |
| Fusion of Feature Based and Deep | learning | Methods for Classification Of MMS Point Clouds |
| Fusion of Handcrafted and Deep | learning | Features for Large-Scale Multiple Iris Presentation Attack Detection |
| Fusion of images and point clouds for the semantic segmentation of large-scale 3D scenes based on deep | learning | |
| Fusion of Local Manifold | learning | Methods |
| Fusion of Multiple Behaviors Using Layered Reinforcement | learning | |
| Fusion of Multiple Classifiers Using Self Supervised | learning | for Satellite Image Change Detection |
| Fusion of Multispectral Aerial Imagery and Vegetation Indices for Machine | learning | -Based Ground Classification |
| Fusion of Neural Architecture Search and Destruction and Construction | learning | , The |
| Fusion of probabilistic knowledge-based classification rules and | learning | automata for automatic recognition of digital images |
| Fusion of Rain Radar Images and Wind Forecasts in a Deep | learning | Model Applied to Rain Nowcasting |
| Fusion of spatial-temporal and kinematic features for gait recognition with deterministic | learning | |
| Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep | learning | |
| Fusion of visual attention cues by machine | learning | |
| fusion representation for face | learning | by low-rank constrain and high-frequency texture components, A |
| Fusion Strategy of 2D and 3D Information Based on Deep | learning | : A Review, The |
| Fusion-Based Semantic Segmentation Using Deep | learning | Architecture in Case of Very Small Training Dataset |
| FusionSeg: | learning | to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos |
| FUSSL: Fuzzy Uncertain Self Supervised | learning | |
| future for | learning | semantic models of man-made environments, A |
| Future Intelligent and Secure Vehicular Network Toward 6G: Machine- | learning | Approaches |
| Future of | learning | at the Workplace Is Augmented Reality, The |
| Fuzzy based affinity | learning | for spectral clustering |
| Fuzzy deep | learning | based urban traffic incident detection |
| Fuzzy Discriminative Block Representation | learning | for Image Feature Extraction |
| Fuzzy feature selection based on min-max | learning | rule and extension matrix |
| fuzzy hybrid | learning | algorithm for radial basis function neural network with application in human face recognition, A |
| Fuzzy Inference Enabled Deep Reinforcement | learning | -Based Traffic Light Control for Intelligent Transportation System |
| Fuzzy | learning | in Vicissitudinous Environments |
| Fuzzy multiclass active | learning | for hyperspectral image classification |
| Fuzzy Positive | learning | for Semi-Supervised Semantic Segmentation |
| Fuzzy relevance vector machine for | learning | from unbalanced data and noise |
| Fuzzy rule selection using Iterative Rule | learning | for speech data classification |
| Fuzzy Statistical Unsupervised | learning | Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images |
| Fuzzy weighted sparse reconstruction error-steered semi-supervised | learning | for face recognition |
| FV-Net: | learning | a finger-vein feature representation based on a CNN |
| FX-GAN: Self-Supervised GAN | learning | via Feature Exchange |
| G2DA: Geometry-guided dual-alignment | learning | for RGB-infrared person re-identification |
| GA-Based Multi-View, Multi-Learner Active | learning | Framework for Hyperspectral Image Classification, A |
| Gabor Feature Selection for Face Recognition Using Improved AdaBoost | learning | |
| GaDQN-IDS: A Novel Self-Adaptive IDS for VANETs Based on Bayesian Game Theory and Deep Reinforcement | learning | |
| GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention | learning | |
| GaFL: Geometric-aware Feature | learning | for universal 3D models recognition |
| GAIA: A Transfer | learning | System of Object Detection that Fits Your Needs |
| Gait Analysis For Human Identification Through Manifold | learning | and HMM |
| Gait Energy Image Reconstruction from Degraded Gait Cycle Using Deep | learning | |
| Gait feature | learning | via spatio-temporal two-branch networks |
| Gait Lateral Network: | learning | Discriminative and Compact Representations for Gait Recognition |
| Gait | learning | -Based Regenerative Model: A Level Set Approach |
| Gait metric | learning | siamese network exploiting dual of spatio-temporal 3D-CNN intra and LSTM based inter gait-cycle-segment features |
| Gait Recognition Based on Deep | learning | : A Survey |
| Gait recognition by | learning | distributed key poses |
| Gait Recognition via Disentangled Representation | learning | |
| Gait Recognition via Semi-supervised Disentangled Representation | learning | to Identity and Covariate Features |
| GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement | learning | |
| GAITMM: Multi-Granularity Motion Sequence | learning | for Gait Recognition |
| GaitPrivacyON: Privacy-preserving mobile gait biometrics using unsupervised | learning | |
| GAL: Graph-Induced Adaptive | learning | for Weakly Supervised 3D Object Detection |
| Galactic: Scaling End-to-End Reinforcement | learning | for Rearrangement at 100k Steps-Per-Second |
| Game of Bundle Adjustment - | learning | Efficient Convergence, A |
| Game Theoretical Pattern Recognition: Applications to Imprefect Noncooperative | learning | and to Multiclass Classification |
| GameFormer: Game-theoretic Modeling and | learning | of Transformer-based Interactive Prediction and Planning for Autonomous Driving |
| GAMSNet: Globally aware road detection network with multi-scale residual | learning | |
| GAN-based Gaussian Mixture Model Responsibility | learning | |
| GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel | learning | Framework, A |
| GAN-based Synthesis of Deep | learning | Training Data for UAV Monitoring |
| GAN-MVAE: A discriminative latent feature generation framework for generalized zero-shot | learning | |
| GANmut: | learning | Interpretable Conditional Space for Gamut of Emotions |
| GANSeg: | learning | to Segment by Unsupervised Hierarchical Image Generation |
| Gap Filling Cloudy Sentinel-2 NDVI and NDWI Pixels with Multi-Frequency Denoised C-Band and L-Band Synthetic Aperture Radar (SAR), Texture, and Shallow | learning | Techniques |
| Gap-Filling and Missing Information Recovery for Time Series of MODIS Data Using Deep | learning | -Based Methods |
| Gap-Filling Eddy Covariance Latent Heat Flux: Inter-Comparison of Four Machine | learning | Model Predictions and Uncertainties in Forest Ecosystem |
| Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine | learning | Techniques |
| GATE: Graph CCA for Temporal Self-Supervised | learning | for Label-Efficient fMRI Analysis |
| Gated Transfer Network for Transfer | learning | |
| Gaussian Affinity for Max-Margin Class Imbalanced | learning | |
| Gaussian correction for adversarial | learning | of boundaries |
| Gaussian fields for semi-supervised regression and correspondence | learning | |
| Gaussian guided IoU: A better metric for balanced | learning | on object detection |
| Gaussian Label Distribution | learning | for Spherical Image Object Detection |
| Gaussian | learning | -based fuzzy predictive cruise control for improving safety and economy of connected vehicles |
| Gaussian Mixture Distribution Makes Data Uncertainty | learning | Better |
| Gaussian mixture | learning | via robust competitive agglomeration |
| Gaussian mixture modeling and | learning | of neighboring characters for multilingual text extraction in images |
| Gaussian Process and Deep | learning | Atmospheric Correction |
| Gaussian process approach for metric | learning | |
| Gaussian Process Convolutional Dictionary | learning | |
| Gaussian Process | learning | from Order Relationships Using Expectation Propagation |
| Gaussian Processes for Data-Efficient | learning | in Robotics and Control |
| Gaze Estimation via Modulation-Based Adaptive Network With Auxiliary Self- | learning | |
| Gaze-Aided Eye Detection via Appearance | learning | |
| GCISG: Guided Causal Invariant | learning | for Improved Syn-to-Real Generalization |
| GCN2CAPS: Graph Convolutional Network to Capsule Network For Wide-Field Robust Graph | learning | |
| GCNet: Graph Completion Network for Incomplete Multimodal | learning | in Conversation |
| GCP-SLAM: LSD-SLAM with | learning | -Based Confidence Estimation |
| GCR: Gradient Coreset based Replay Buffer Selection for Continual | learning | |
| GCT: Graph Co-Training for Semi-Supervised Few-Shot | learning | |
| GDUMB: A Simple Approach that Questions Our Progress in Continual | learning | |
| GE-DDRL: Graph Embedding and Deep Distributional Reinforcement | learning | for Reliable Shortest Path: A Universal and Scale Free Solution |
| Gender dictionary | learning | for gender classification |
| Gender from Body: A Biologically-Inspired Approach with Manifold | learning | |
| Gender Identification in Social Media Using Transfer | learning | |
| General Active- | learning | Framework for On-Road Vehicle Recognition and Tracking, A |
| General Decoupled | learning | Framework for Parameterized Image Operators, A |
| General Deep | learning | Based Framework for 3D Reconstruction from Multi-View Stereo Satellite Images, A |
| General Deep | learning | Point-Surface Fusion Framework for RGB Image Super-Resolution, A |
| General Deep | learning | Segmentation Process Used In Remote Sensing Images |
| General Distributed Hash | learning | on Image Descriptors for k-Nearest Neighbor Search |
| general extensible | learning | approach for multi-disease recommendations in a telehealth environment, A |
| General Facial Representation | learning | in a Visual-Linguistic Manner |
| General Fast Registration Framework by | learning | Deformation-Appearance Correlation, A |
| General Framework for Context-Specific Image Segmentation Using Reinforcement | learning | , A |
| General Greedy De-Bias | learning | |
| General Incremental | learning | with Domain-aware Categorical Representations |
| General Knowledge Embedded Image Representation | learning | |
| General | learning | Algorithm for Robot Vision |
| general | learning | framework using local and global regularization, A |
| General | learning | Modeling for AUV Position Tracking |
| General Machine | learning | Framework for Solving Real Applications with a Texture Perception Case Study, A |
| General Model for | learning | Node and Graph Representations Jointly, A |
| general non-parametric active | learning | framework for classification on multiple manifolds, A |
| general procedure for | learning | mixtures of independent component analyzers, A |
| general soft method for | learning | SVM classifiers with L1-norm penalty, A |
| General solution and | learning | method for binary classification with performance constraints |
| general subspace ensemble | learning | framework via totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition, A |
| General Two-Step Approach to | learning | -Based Hashing, A |
| General-to-specific | learning | for facial attribute classification in the wild |
| Generalised deep | learning | framework for HEp-2 cell recognition using local binary pattern maps |
| Generalised Zero-shot | learning | with Multi-modal Embedding Spaces |
| Generalizable and efficient cross-domain person re-identification model using deep metric | learning | |
| Generalizable Black-Box Adversarial Attack With Meta | learning | |
| Generalizable Crowd Counting via Diverse Context Style | learning | |
| Generalizable Decision Boundaries: Dualistic Meta- | learning | for Open Set Domain Generalization |
| Generalizable Embeddings with Cross-Batch Metric | learning | |
| Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity | learning | |
| Generalizable No-Reference Image Quality Assessment via Deep Meta- | learning | |
| Generalization in Metric | learning | : Should the Embedding Layer Be Embedding Layer? |
| Generalization of deep | learning | models for natural gas indication in 2D seismic data |
| Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-adaption and Few-shot | learning | |
| Generalization Performance of | learning | Machine Based on Phi-mixing Sequence, The |
| Generalization Performance of Pure Accuracy and its Application in Selective Ensemble | learning | |
| Generalized and Incremental Few-Shot | learning | by Explicit Learning and Calibration without Forgetting |
| Generalized and Incremental Few-Shot | learning | by Explicit Learning and Calibration without Forgetting |
| Generalized batch mode active | learning | for face-based biometric recognition |
| Generalized Class Incremental | learning | |
| Generalized Clustering and Multi-Manifold | learning | with Geometric Structure Preservation |
| Generalized compressed sensing with QR-based vision matrix | learning | for face recognition under natural scenes |
| Generalized Coupled Dictionary | learning | Approach With Applications to Cross-Modal Matching |
| Generalized Deep Internal | learning | for Hyperspectral Image Super Resolution |
| Generalized Dictionaries for Multiple Instance | learning | |
| Generalized Discriminative Muitiple Instance | learning | for Multimedia Semantic Concept Detection, A |
| Generalized Explanation Framework for Visualization of Deep | learning | Model Predictions, A |
| Generalized Face Anti-Spoofing via Multi-Task | learning | and One-Side Meta Triplet Loss |
| Generalized Face Antispoofing by | learning | to Fuse Features From High- and Low-Frequency Domains |
| Generalized Fake Image Detection Method Based on Gated Hierarchical Multi-Task | learning | |
| Generalized feature | learning | and indexing for object localization and recognition |
| Generalized Focal Loss V2: | learning | Reliable Localization Quality Estimation for Dense Object Detection |
| Generalized Focal Loss: Towards Efficient Representation | learning | for Dense Object Detection |
| Generalized framework for image and video object segmentation using affinity | learning | and message passing GNNS |
| Generalized guard-zone algorithm (GGA) for | learning | : automatic selection of threshold |
| Generalized Hidden-Mapping Transductive Transfer | learning | for Recognition of Epileptic Electroencephalogram Signals |
| Generalized Image Matching: Statistical | learning | of Physically-Based Deformations |
| Generalized Intersection Algorithms with Fixed Points for Image Decomposition | learning | |
| Generalized iterative RELIEF for supervised distance metric | learning | |
| Generalized Large Margin kNN for Partial Label | learning | |
| Generalized | learning | Graph Quantization |
| Generalized LiDAR Intensity Normalization and Its Positive Impact on Geometric and | learning | -Based Lane Marking Detection |
| Generalized Local Attention Pooling for Deep Metric | learning | |
| Generalized Log-Ratio Transformation: | learning | Shape and Adjacency Priors for Simultaneous Thigh Muscle Segmentation, The |
| Generalized Loss-Sensitive Adversarial | learning | with Manifold Margins |
| Generalized Median Computation for Consensus | learning | : A Brief Survey |
| Generalized Meta-FDMixup: Cross-Domain Few-Shot | learning | Guided by Labeled Target Data |
| Generalized minimum error entropy for robust | learning | |
| generalized multi-task | learning | approach to stereo DSM filtering in urban areas, A |
| Generalized Multiple Instance | learning | Algorithm for Iterative Distillation and Cross-Granular Propagation of Video Annotations, A |
| Generalized Multiple Instance | learning | Algorithm with Multiple Selection Strategies for Cross Granular Learning, A |
| Generalized Multiple Instance | learning | Algorithm with Multiple Selection Strategies for Cross Granular Learning, A |
| Generalized Multiple Instance | learning | for Cancer Detection in Digital Histopathology |
| Generalized ODIN: Detecting Out-of-Distribution Image Without | learning | From Out-of-Distribution Data |
| Generalized One-Class | learning | Using Pairs of Complementary Classifiers |
| Generalized Pseudo-Labeling in Consistency Regularization for Semi-Supervised | learning | |
| Generalized Query by Transduction for online active | learning | |
| Generalized Robust Regression for Jointly Sparse Subspace | learning | |
| generalized S-K algorithm for | learning | [nu]-SVM classifiers, A |
| Generalized self-supervised contrastive | learning | with bregman divergence for image recognition |
| Generalized Semi-supervised and Structured Subspace | learning | for Cross-Modal Retrieval |
| Generalized Sparse | learning | of Linear Models Over the Complete Subgraph Feature Set |
| Generalized Stacked Sequential | learning | |
| Generalized Subspace | learning | by Roweis Discriminant Analysis |
| Generalized Sum Pooling for Metric | learning | |
| Generalized Transfer Subspace | learning | Through Low-Rank Constraint |
| Generalized Zero- and Few-Shot | learning | via Aligned Variational Autoencoders |
| Generalized Zero-Shot | learning | Framework for PolSAR Land Cover Classification, A |
| Generalized Zero-Shot | learning | Using Multimodal Variational Auto-Encoder With Semantic Concepts |
| Generalized Zero-Shot | learning | Via Multi-Modal Aggregated Posterior Aligning Neural Network |
| Generalized Zero-Shot | learning | via Over-Complete Distribution |
| Generalized Zero-Shot | learning | via Synthesized Examples |
| Generalized Zero-Shot | learning | With Multi-Channel Gaussian Mixture VAE |
| Generalizing Correspondence Analysis for Applications in Machine | learning | |
| Generalizing Deep | learning | for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation |
| Generalizing Eye Tracking With Bayesian Adversarial | learning | |
| Generalizing Person Re-identification by Camera-aware Invariance | learning | and Cross-Domain Mixup |
| Generating 1 km Spatially Seamless and Temporally Continuous Air Temperature Based on Deep | learning | over Yangtze River Basin, China |
| Generating Accurate Pseudo Examples for Continual | learning | |
| Generating Accurate Pseudo-Labels in Semi-Supervised | learning | and Avoiding Overconfident Predictions via Hermite Polynomial Activations |
| Generating adaptive and robust filter sets using an unsupervised | learning | framework |
| Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive | learning | |
| Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot | learning | |
| Generating diverse augmented attributes for generalized zero shot | learning | |
| Generating Elevation Surface from a Single RGB Remotely Sensed Image Using Deep | learning | |
| Generating Gridded Gross Domestic Product Data for China Using Geographically Weighted Ensemble | learning | |
| Generating High-Resolution and Long-Term SPEI Dataset over Southwest China through Downscaling EEAD Product by Machine | learning | |
| Generating Image Filters for Target Recognition by Genetic | learning | |
| Generating Instance-level Prompts for Rehearsal-free Continual | learning | |
| Generating Manifold-Aligned Semantic Feature for Zero-Shot | learning | |
| Generating Synthetic Computed Tomography (CT) Images to Improve the Performance of Machine | learning | Model for Pediatric Abdominal Anomaly Detection |
| Generation of Representations for Supervised | learning | : A Velocity Estimation Example |
| Generation-based contrastive model with semantic alignment for generalized zero-shot | learning | |
| Generation-Based Joint Luminance-Chrominance | learning | for Underwater Image Quality Assessment |
| Generative Adversarial Approach for Zero-Shot | learning | from Noisy Texts, A |
| Generative Adversarial Imitation | learning | Approach for Realistic Aircraft Taxi-Speed Modeling, A |
| Generative Adversarial | learning | for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case |
| Generative Adversarial | learning | in YUV Color Space for Thin Cloud Removal on Satellite Imagery |
| Generative Adversarial | learning | Towards Fast Weakly Supervised Detection |
| Generative Adversarial Multi-Task | learning | for Face Sketch Synthesis and Recognition |
| Generative Adversarial Network and Mutual-Point | learning | Algorithm for Few-Shot Open-Set Classification of Hyperspectral Images |
| Generative Adversarial Network Enabled Deep Distributional Reinforcement | learning | for Transmission Scheduling in Internet of Vehicles, A |
| Generative Adversarial Networks Based on Collaborative | learning | and Attention Mechanism for Hyperspectral Image Classification |
| Generative Adversarial Networks With AdaBoost Ensemble | learning | for Anomaly Detection in High-Speed Train Automatic Doors |
| Generative Adversarial Networks-Based Semi-Supervised | learning | for Hyperspectral Image Classification |
| Generative and Discriminative Fuzzy Restricted Boltzmann Machine | learning | for Text and Image Classification |
| Generative Cooperative | learning | for Unsupervised Video Anomaly Detection |
| Generative Deep | learning | Approach for Forensic Facial Reconstruction, A |
| Generative Deep-Neural-Network Mixture Modeling with Semi-Supervised MinMax+EM | learning | |
| Generative Dual Adversarial Network for Generalized Zero-Shot | learning | |
| Generative Feature Replay For Class-Incremental | learning | |
| Generative Framework for Zero-Shot | learning | with Adversarial Domain Adaptation, A |
| Generative Gradient Inversion via Over-Parameterized Networks in Federated | learning | |
| Generative Hierarchical | learning | of Sparse FRAME Models |
| Generative Hybrid Representations for Activity Forecasting With No-Regret | learning | |
| Generative Interventions for Causal | learning | |
| Generative Latent Implicit Conditional Optimization when | learning | from Small Sample |
| Generative | learning | of visual concepts using multiobjective genetic programming |
| Generative Local Metric | learning | for Nearest Neighbor Classification |
| Generative Model Driven Representation | learning | in a Hybrid Framework for Environmental Audio Scene and Sound Event Recognition |
| Generative Model for Zero Shot | learning | Using Conditional Variational Autoencoders, A |
| Generative Model With Coordinate Metric | learning | for Object Recognition Based on 3D Models |
| Generative Model with Semantic Embedding and Integrated Classifier for Generalized Zero-Shot | learning | |
| Generative Multi-Label Zero-Shot | learning | |
| Generative PointNet: Deep Energy-Based | learning | on Unordered Point Sets for 3D Generation, Reconstruction and Classification |
| Generative Range Imaging for | learning | Scene Priors of 3D LiDAR Data |
| Generative Reasoning Integrated Label Noise Robust Deep Image Representation | learning | |
| Generative Self-Ensemble Approach To Simulated+Unsupervised | learning | , A |
| Generative Subgraph Contrast for Self-Supervised Graph Representation | learning | |
| Generative Text Convolutional Neural Network for Hierarchical Document Representation | learning | |
| Generative View-Correlation Adaptation for Semi-Supervised Multi-View | learning | |
| Generative VoxelNet: | learning | Energy-Based Models for 3D Shape Synthesis and Analysis |
| Generative Zero-Shot | learning | for Semantic Segmentation of 3D Point Clouds |
| Generative Zero-Shot | learning | via Low-Rank Embedded Semantic Dictionary |
| Generative-Discriminative Basis | learning | for Medical Imaging |
| Generative/Discriminative | learning | Algorithm for Image Classification, A |
| Generic Deep- | learning | -Based Approach for Automated Surface Inspection, A |
| Generic distributed polymorphic | learning | model for a community of heterogeneous cyber physical social robots in MAS Environment and GPU Architecture |
| Generic Framework for Video Annotation via Semi-Supervised | learning | , A |
| Generic Markov Decision Process Model and Reinforcement | learning | Method for Scheduling Agile Earth Observation Satellites, A |
| Generic Moment Invariants Based Supervised | learning | Framework for Classification Using Partial Object Information, A |
| Generic Object Crowd Tracking by Multi-Task | learning | |
| Generic Proposal Evaluator: A Lazy | learning | Strategy Toward Blind Proposal Quality Assessment |
| Generic Self-Supervised | learning | (SSL) Framework for Representation Learning from Spectral-Spatial Features of Unlabeled Remote Sensing Imagery, A |
| Generic Self-Supervised | learning | (SSL) Framework for Representation Learning from Spectral-Spatial Features of Unlabeled Remote Sensing Imagery, A |
| Generic Shape | learning | and Recognition |
| generic shift-norm-activation approach for deep | learning | , A |
| Genetic Fuzzy Rules | learning | Approach for Unseeded Segmentation in Echography, A |
| Genetic | learning | for Adaptive Image Segmentation |
| genetic | learning | system for on-line character recognition, A |
| Genetic Prediction in Bovine Meat Production: Is Worth Integrating Bayesian and Machine | learning | Approaches? a Comprenhensive Analysis |
| Genetic Programming for Document Classification: A Transductive Transfer | learning | System |
| Genetic Programming for High-Level Feature | learning | in Crop Classification |
| Genetic Programming with Local Improvement for Visual | learning | from Examples |
| Genetic translator: how to apply query | learning | to practical OCR |
| Genetic-based adaptive momentum estimation for predicting mortality risk factors for COVID-19 patients using deep | learning | |
| Genetic-Based EM Algorithm for | learning | Gaussian Mixture Models |
| Genetic-based Joint Dynamic Pruning and | learning | Algorithm to Boost DNN Performance |
| GENPass: A Multi-Source Deep | learning | Model for Password Guessing |
| Geo-Location Algorithm for Building Targets in Oblique Remote Sensing Images Based on Deep | learning | and Height Estimation |
| Geo-Object-Based Vegetation Mapping via Machine | learning | Methods with an Intelligent Sample Collection Scheme: A Case Study of Taibai Mountain, China |
| Geo-Referencing and Analysis of Entities Extracted from Old Drawings and Photos Using Computer Vision and Deep | learning | Algorithms |
| GEOBIA 2016: Advances in Object-Based Image Analysis: Linking with Computer Vision and Machine | learning | |
| GeoBoost: An Incremental Deep | learning | Approach toward Global Mapping of Buildings from VHR Remote Sensing Images |
| GeoDesc: | learning | Local Descriptors by Integrating Geometry Constraints |
| GeoDLS: A Deep | learning | -Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery |
| GeoF: Geodesic Forests for | learning | Coupled Predictors |
| Geographic mapping with unsupervised multi-modal representation | learning | from VHR images and POIs |
| Geographically Weighted Machine | learning | and Downscaling for High-Resolution Spatiotemporal Estimations of Wind Speed |
| Geography-Aware Self-Supervised | learning | |
| Geohazards Susceptibility Assessment along the Upper Indus Basin Using Four Machine | learning | and Statistical Models |
| Geological Mapping Using Machine | learning | Algorithms |
| Geometric Algorithm for | learning | Oblique Decision Trees, A |
| Geometric Computing for Wavelet Transforms, Robot Vision, | learning | , Control and Action |
| Geometric Deep | learning | for the Assessment of Thrombosis Risk in the Left Atrial Appendage |
| Geometric Deep | learning | on Graphs and Manifolds Using Mixture Model CNNs |
| Geometric Deep | learning | Using Vascular Surface Meshes for Modality-Independent Unruptured Intracranial Aneurysm Detection |
| Geometric Hypergraph | learning | for Visual Tracking |
| Geometric imbalanced deep | learning | with feature scaling and boundary sample mining |
| Geometric Loss Functions for Camera Pose Regression with Deep | learning | |
| Geometric method for document understanding and classification using online machine | learning | |
| Geometric Prior-Guided Self-Supervised | learning | for Multi-View Stereo |
| Geometric Representation | learning | for Document Image Rectification |
| Geometric Viewpoint | learning | with Hyper-Rays and Harmonics Encoding |
| Geometric Visual Similarity | learning | in 3D Medical Image Self-Supervised Pre-training |
| Geometric-relational Deep | learning | Framework for BIM Object Classification, A |
| Geometrical | learning | from Multiple Stereo Views Through Monocular Based Feature Grouping |
| Geometrical Perspective on Image Style Transfer With Adversarial | learning | , A |
| Geometry and | learning | Co-Supported Normal Estimation for Unstructured Point Cloud |
| Geometry Aware Constrained Optimization Techniques for Deep | learning | |
| Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation | learning | |
| Geometry in active | learning | for binary and multi-class image segmentation |
| Geometry Meets Deep | learning | , Deep Vision: Deep Learning in Computer Vision |
| Geometry Meets Deep | learning | , Deep Vision: Deep Learning in Computer Vision |
| Geometry-Aware Discriminative Dictionary | learning | for PolSAR Image Classification |
| Geometry-Aware Hierarchical Bayesian | learning | on Manifolds |
| Geometry-Aware | learning | of Maps for Camera Localization |
| Geometry-Aware Neighborhood Search for | learning | Local Models for Image Superresolution |
| Geometry-Aware Network for Unsupervised | learning | of Monocular Camera's Ego-Motion |
| Geometry-Aware Similarity | learning | on SPD Manifolds for Visual Recognition |
| Geometry-guided Feature | learning | and Fusion for Indoor Scene Reconstruction |
| GeoMVSNet: | learning | Multi-View Stereo with Geometry Perception |
| GeoNet: Unsupervised | learning | of Dense Depth, Optical Flow and Camera Pose |
| Geospatial and Machine | learning | Regression Techniques for Analyzing Food Access Impact on Health Issues in Sustainable Communities |
| Geospatial Machine | learning | Datasets Structuring and Classification Tool: Case Study for Mapping LULC From Rasat Satellite Images |
| Geospatial Platform for Crowdsourcing Green Space Area Management Using GIS and Deep | learning | Classification, A |
| Geotagged Photo Recognition Using Corresponding Aerial Photos with Multiple Kernel | learning | |
| GeoViewMatch: A Multi-Scale Feature-Matching Network for Cross-View Geo-Localization Using Swin-Transformer and Contrastive | learning | |
| GeoVLN: | learning | Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation |
| Gestalt-guided Image Understanding for Few-shot | learning | |
| Gestural Interactions of Embodied Educational Technology Using One-Shot Machine | learning | |
| Gesture Control Using Active Difference Signatures and Sparse | learning | |
| Gesture | learning | and execution in a humanoid robot via dynamic movement primitives |
| Gesture | learning | Interface for Simulated Robot Path Shaping With a Human Teacher, A |
| Gesture Localization and Recognition Using Probabilistic Visual | learning | |
| Gesture Recognition Based on Manifold | learning | |
| Gesture recognition by | learning | local motion signatures |
| GFCNet: Contrastive | learning | Network with Geography Feature Space Joint Negative Sample Correction for Land Cover Classification |
| GFPose: | learning | 3D Human Pose Prior with Gradient Fields |
| GH-Feat: | learning | Versatile Generative Hierarchical Features From GANs |
| Ghost shuffle lightweight pose network with effective feature representation and | learning | for human pose estimation |
| GHT-based associative memory | learning | and its application to Human action detection and classification |
| GIFMarking: The robust watermarking for animated GIF based deep | learning | |
| GIFSL: Grafting based improved few-shot | learning | |
| Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer | learning | , A |
| Giga-SSL: Self-Supervised | learning | for Gigapixel Images |
| GigaDepth: | learning | Depth from Structured Light with Branching Neural Networks |
| GINA-3D: | learning | to Generate Implicit Neural Assets in the Wild |
| gingivitis identification method based on contrast-limited adaptive histogram equalization, gray-level co-occurrence matrix, and extreme | learning | machine, A |
| GIR-based ensemble sampling approaches for imbalanced | learning | |
| GIS and Machine | learning | for Analysing Influencing Factors of Bushfires Using 40-Year Spatio-Temporal Bushfire Data |
| GIS-Based Machine | learning | Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran |
| GKEAL: Gaussian Kernel Embedded Analytic | learning | for Few-Shot Class Incremental Task |
| GL-Net: Semantic segmentation for point clouds of shield tunnel via global feature | learning | and local feature discriminative aggregation |
| Glacial Lakes Mapping Using Multi Satellite PlanetScope Imagery and Deep | learning | |
| Glacier Facies Mapping Using a Machine- | learning | Algorithm: The Parlung Zangbo Basin Case Study |
| Glassboxing Deep | learning | to Enhance Aircraft Detection from SAR Imagery |
| Glaucoma Classification Using Deep | learning | and Image Processing |
| Glaucoma Monitoring Using Manifold | learning | and Unsupervised Clustering |
| Glioma grade detection using grasshopper optimization algorithm-optimized machine | learning | methods: The Cancer Imaging Archive study |
| GLMNet: Graph | learning | -matching convolutional networks for feature matching |
| Global Aligned Structured Sparsity | learning | for Efficient Image Super-Resolution |
| Global and Local Mixture Consistency Cumulative | learning | for Long-tailed Visual Recognitions |
| Global and local multi-modal feature mutual | learning | for retinal vessel segmentation |
| Global and local structure preserving sparse subspace | learning | : An iterative approach to unsupervised feature selection |
| Global Balanced Experts for Federated Long-Tailed | learning | |
| Global Co-occurrence Feature | learning | and Active Coordinate System Conversion for Skeleton-based Action Recognition |
| Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot | learning | |
| Global Cyclone and Anticyclone Detection Model Based on Remotely Sensed Wind Field and Deep | learning | |
| Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using Machine | learning | |
| Global Feedforward Neural Network | learning | for Classification and Regression |
| Global Fractional Vegetation Cover Estimation Algorithm for VIIRS Reflectance Data Based on Machine | learning | Methods |
| Global image registration based on | learning | the prior appearance model |
| Global Information Embedding Network for Few-Shot | learning | |
| Global Ionospheric Total Electron Content Completion with a GAN-Based Deep | learning | Framework |
| global | learning | approach for an online handwritten mathematical expression recognition system, A |
| Global Manifold | learning | for Interactive Image Segmentation |
| Global Mapping of Soil Water Characteristics Parameters: Fusing Curated Data with Machine | learning | and Environmental Covariates |
| Global Optimality in Separable Dictionary | learning | with Applications to the Analysis of Diffusion MRI |
| Global Relation-Aware Contrast | learning | for Unsupervised Person Re-Identification |
| Global Sensitivity Analysis of Commonly Used Satellite-Derived Vegetation Indices for Homogeneous Canopies Based on Model Simulation and Random Forest | learning | , A |
| Global Shapes and Salient Joints Features | learning | for Skeleton-Based Action Recognition |
| Global Spatial and Local Spectral Similarity-Based Manifold | learning | Group Sparse Representation for Hyperspectral Imagery Classification |
| Global spatio-temporal synergistic topology | learning | for skeleton-based action recognition |
| Global Spatiotemporal Completion of Daily High-Resolution TCCO from TROPOMI over Land Using a Swath-Based Local Ensemble | learning | Method |
| global transformation approach to RBF neural network | learning | , A |
| Global Water Quality of Inland Waters with Harmonized Landsat-8 and Sentinel-2 Using Cloud-Computed Machine | learning | |
| Global-guided weakly-supervised | learning | for multi-label image classification |
| Global-Information-Constrained Deep | learning | Network for Digital Elevation Model Super-Resolution, A |
| Global-Local Bidirectional Reasoning for Unsupervised Representation | learning | of 3D Point Clouds |
| Global-Local Contrastive | learning | Framework for Video Captioning, A |
| Global-local contrastive multiview representation | learning | for skeleton-based action recognition |
| Global-Local Interplay in Semantic Alignment for Few-Shot | learning | |
| Global-Local Label Correlation for Partial Multi-Label | learning | |
| Global-Local Motion Transformer for Unsupervised Skeleton-Based Action | learning | |
| Global-Local Self-Distillation for Visual Representation | learning | |
| globally convergent approximate Newton method for non-convex sparse | learning | , A |
| Globally Optimal Active Contours, Sequential Monte Carlo and On-Line | learning | for Vessel Segmentation |
| Globally vs. Locally Trained Machine | learning | Models for Landslide Detection: A Case Study of a Glacial Landscape |
| Glocal Energy-based | learning | for Few-Shot Open-Set Recognition |
| GLOCAL: A self-supervised | learning | framework for global and local motion estimation |
| GLoRIA: A Multimodal Global-Local Representation | learning | Framework for Label-efficient Medical Image Recognition |
| GlowGAN: Unsupervised | learning | of HDR Images from LDR Images in the Wild |
| GloWS-Net: A Deep | learning | Framework for Retrieving Global Sea Surface Wind Speed Using Spaceborne GNSS-R Data |
| GLR: Gradient-based | learning | Rate Scheduler |
| GLRP: Global and local contrastive | learning | based on relative position for medical image segmentation on cardiac MRI |
| GLTF-Net: Deep- | learning | Network for Thick Cloud Removal of Remote Sensing Images via Global-Local Temporality and Features |
| GM-NeRF: | learning | Generalizable Model-Based Neural Radiance Fields from Multi-View Images |
| GMC: A general framework of multi-stage context | learning | and utilization for visual detection tasks |
| GMFlow: | learning | Optical Flow via Global Matching |
| GMNet: Graded-Feature Multilabel- | learning | Network for RGB-Thermal Urban Scene Semantic Segmentation |
| GMRLNet: A Graph-Based Manifold Regularization | learning | Framework for Placental Insufficiency Diagnosis on Incomplete Multimodal Ultrasound Data |
| GMSS: Graph-Based Multi-Task Self-Supervised | learning | for EEG Emotion Recognition |
| GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature | learning | |
| GNSS Signal Interference Classified by Means of a Supervised | learning | Method Applied in the Time-Frequency Domain |
| GNSS-Based Machine | learning | Storm Nowcasting |
| GNSS-R Soil Moisture Retrieval Based on a XGboost Machine | learning | Aided Method: Performance and Validation |
| Goal-Guided Transformer-Enabled Reinforcement | learning | for Efficient Autonomous Navigation |
| Goal-Oriented Gaze Estimation for Zero-Shot | learning | |
| GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation | learning | |
| Going Deeper Into Embedding | learning | for Video Object Segmentation |
| Good Data Augmentation Policy is not All You Need: A Multi-Task | learning | Perspective, A |
| Good Practice in Large-Scale | learning | for Image Classification |
| Good Practices for | learning | to Recognize Actions Using FV and VLAD |
| Good Student is Cooperative and Reliable: CNN-Transformer Collaborative | learning | for Semantic Segmentation, A |
| Good View Hunting: | learning | Photo Composition from Dense View Pairs |
| Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement | learning | |
| Google Earth Engine, Open-Access Satellite Data, and Machine | learning | in Support of Large-Area Probabilistic Wetland Mapping |
| Gossiped and Quantized Online Multi-Kernel | learning | |
| GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing | learning | |
| GPFL: Simultaneously | learning | Global and Personalized Feature Information for Personalized Federated Learning |
| GPFL: Simultaneously | learning | Global and Personalized Feature Information for Personalized Federated Learning |
| GPR Signal Characterization for Automated Landmine and UXO Detection Based on Machine | learning | Techniques |
| GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot | learning | |
| GPRInvNet: Deep | learning | -Based Ground-Penetrating Radar Data Inversion for Tunnel Linings |
| GPS-GLASS: | learning | Nighttime Semantic Segmentation Using Daytime Video and GPS data |
| GPSRL: | learning | Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data |
| GPU-Based Fast Training of Discriminative | learning | Quadratic Discriminant Function for Handwritten Chinese Character Recognition |
| GraDED: A graph-based parametric dictionary | learning | algorithm for event detection |
| Gradient clustering algorithm based on deep | learning | aerial image detection |
| Gradient descent | learning | of nearest neighbor classifiers with outlier rejection |
| Gradient Local Auto-Correlations and Extreme | learning | Machine for Depth-Based Activity Recognition |
| Gradient Matching Generative Networks for Zero-Shot | learning | |
| Gradient Projection | learning | for Parametric Nonrigid Registration |
| Gradient-Based | learning | applied to Document Recognition |
| Gradient-based | learning | of higher-order image features |
| Gradient-based Uncertainty Attribution for Explainable Bayesian Deep | learning | |
| Gradient-Regulated Meta-Prompt | learning | for Generalizable Vision-Language Models |
| GradMA: A Gradient-Memory-based Accelerated Federated | learning | with Alleviated Catastrophic Forgetting |
| Grafit: | learning | fine-grained image representations with coarse labels |
| GraFT: Graph Filtered Temporal Dictionary | learning | for Functional Neural Imaging |
| Graininess-Aware Deep Feature | learning | for Pedestrian Detection |
| Graininess-Aware Deep Feature | learning | for Robust Pedestrian Detection |
| Graph attribute embedding via Riemannian submersion | learning | |
| Graph Autoencoder-Based Embedded | learning | in Dynamic Brain Networks for Autism Spectrum Disorder Identification |
| Graph Based Discriminative | learning | for Robust and Efficient Object Tracking |
| Graph Based Multi-class Semi-supervised | learning | Using Gaussian Process |
| Graph based skill acquisition and transfer | learning | for continuous reinforcement learning domains |
| Graph based skill acquisition and transfer | learning | for continuous reinforcement learning domains |
| Graph Based Subspace Semi-supervised | learning | Framework for Dimensionality Reduction, A |
| Graph classification via discriminative edge feature | learning | |
| Graph Constrained Data Representation | learning | for Human Motion Segmentation |
| Graph Construction Based on Labeled Instances for Semi-supervised | learning | |
| Graph convolutional autoencoders with co- | learning | of graph structure and node attributes |
| Graph Convolutional Networks based on manifold | learning | for semi-supervised image classification |
| Graph Convolutional Networks for | learning | with Few Clean and Many Noisy Labels |
| Graph convolutional neural network for multi-scale feature | learning | |
| Graph cut energy minimization in a probabilistic | learning | framework for 3D prostate segmentation in MRI |
| Graph Edit Distance Reward: | learning | to Edit Scene Graph |
| Graph Embedding Contrastive Multi-Modal Representation | learning | for Clustering |
| Graph Embedding Multi-Kernel Metric | learning | for Image Set Classification With Grassmannian Manifold-Valued Features |
| Graph Embedding-Based Ensemble | learning | for Image Clustering |
| Graph Grouping Loss for Metric | learning | of Face Image Representations |
| Graph Jigsaw | learning | for Cartoon Face Recognition |
| Graph Laplacian for Semi-supervised | learning | |
| graph laplacian matrix | learning | method for fast implementation of graph fourier transform, A |
| Graph Lattice Approach to Maintaining and | learning | Dense Collections of Subgraphs as Image Features, A |
| Graph | learning | Based Head Movement Prediction for Interactive 360 Video Streaming |
| Graph | learning | From Signals With Smoothness Superimposed by Regressors |
| Graph | learning | on Millions of Data in Seconds: Label Propagation Acceleration on Graph Using Data Distribution |
| Graph Matching with Anchor Nodes: A | learning | Approach |
| Graph Neural Networks Based Multi-granularity Feature Representation | learning | for Fine-Grained Visual Categorization |
| Graph Neural Networks With Triple Attention for Few-Shot | learning | |
| Graph Node Based Interpretability Guided Sample Selection for Active | learning | |
| Graph Regularized Deep Neural Network for Unsupervised Image Representation | learning | , A |
| Graph Regularized Encoder-Decoder Networks for Image Representation | learning | |
| Graph Relational Reinforcement | learning | for Mobile Robot Navigation in Large-Scale Crowded Environments |
| Graph Repository for | learning | Error-Tolerant Graph Matching, A |
| Graph Representation for | learning | the Traveling Salesman Problem |
| Graph representation | learning | for road type classification |
| Graph Sampling Based Deep Metric | learning | for Generalizable Person Re-Identification |
| Graph Signal Processing Approach to QSAR/QSPR Model | learning | of Compounds |
| Graph spectral approach for | learning | view structure |
| Graph Spectral Feature | learning | for Mixed Data of Categorical and Numerical Type |
| Graph Theory Based Large-Scale Machine | learning | With Multi-Dimensional Constrained Optimization Approaches for Exact Epidemiological Modeling of Pandemic Diseases |
| Graph Transduction | learning | of Object Proposals for Video Object Segmentation |
| Graph Transduction | learning | with Connectivity Constraints with Application to Multiple Foreground Cosegmentation |
| Graph Transformer Geometric | learning | of Brain Networks Using Multimodal MR Images for Brain Age Estimation |
| Graph-Based Analysis of Nasopharyngeal Carcinoma with Bayesian Network | learning | Methods |
| Graph-Based Deep Multitask Few-Shot | learning | for Hyperspectral Image Classification |
| Graph-based discriminative features | learning | for fine-grained image retrieval |
| Graph-Based Discriminative | learning | for Location Recognition |
| Graph-Based Domain Adaptation Few-Shot | learning | for Hyperspectral Image Classification |
| Graph-based Feature | learning | from Image Markers |
| Graph-based | learning | of nonlinear physiological interactions for classification of emotions |
| Graph-based multiple instance | learning | for action recognition |
| Graph-based multiple-instance | learning | with instance weighting for image retrieval |
| graph-based ranked-list model for unsupervised distance | learning | on shape retrieval, A |
| Graph-Based Self- | learning | for Robust Person Re-identification |
| Graph-Based Semi-Supervised | learning | for Spectral-Spatial Hyperspectral Image Classification |
| Graph-based semi-supervised | learning | with multi-modality propagation for large-scale image datasets |
| Graph-based semi-supervised | learning | with multiple labels |
| Graph-based semi-supervised | learning | with redundant views |
| Graph-Based Semisupervised Deep | learning | Model for PolSAR Image Classification, A |
| Graph-Based Semisupervised | learning | |
| Graph-based spatial-spectral feature | learning | for hyperspectral image classification |
| Graph-Based Spatio-Temporal Feature | learning | for Neuromorphic Vision Sensing |
| Graph-based transductive | learning | for robust visual tracking |
| Graph-Guided Unsupervised Multiview Representation | learning | |
| Graph-Induced Aligned | learning | on Subspaces for Hyperspectral and Multispectral Data |
| Graph-Regularized Locality-Constrained Joint Dictionary and Residual | learning | for Face Sketch Synthesis |
| Graph-Represented Broad | learning | System for Landslide Susceptibility Mapping in Alpine-Canyon Region |
| Graph2Net: Perceptually-Enriched Graph | learning | for Skeleton-Based Action Recognition |
| GraphAIR: Graph representation | learning | with neighborhood aggregation and interaction |
| GraphBit: Bitwise Interaction Mining via Deep Reinforcement | learning | |
| GraphDPI: Partial label disambiguation by graph representation | learning | via mutual information maximization |
| GraphFit: | learning | Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation |
| Graphical Evolutionary Game Approach to Social | learning | , A |
| Graphical Model Parameter | learning | by Inverse Linear Programming |
| Graphics Capsule: | learning | Hierarchical 3D Face Representations from 2D Images |
| GraphIQA: | learning | Distortion Graph Representations for Blind Image Quality Assessment |
| Graphonomy: Universal Human Parsing via Graph Transfer | learning | |
| GraphTER: Unsupervised | learning | of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations |
| GrappaNet: Combining Parallel Imaging With Deep | learning | for Multi-Coil MRI Reconstruction |
| Grasping Field: | learning | Implicit Representations for Human Grasps |
| Grassmann manifold online | learning | and partial occlusion handling for visual object tracking under Bayesian formulation |
| Gray Level Cooccurrence Histograms via | learning | Vector Quantization |
| Greedy approaches to semi-supervised subspace | learning | |
| Greedy Bayesian double sparsity dictionary | learning | |
| Greedy deep transform | learning | |
| Greedy dictionary | learning | for kernel sparse representation based classifier |
| Greedy | learning | of Binary Latent Trees |
| Greedy | learning | of multiple objects in images using robust statistics and factorial learning |
| Greedy | learning | of multiple objects in images using robust statistics and factorial learning |
| Greedy Performance Driven Algorithm for Decision Fusion | learning | , A |
| Greedy Salient Dictionary | learning | for Activity Video Summarization |
| Greedy Search for Active | learning | of OCR |
| Greedy Structure | learning | of Hierarchical Compositional Models |
| Green Fingerprint of Antarctica: Drones, Hyperspectral Imaging, and Machine | learning | for Moss and Lichen Classification, A |
| Green | learning | : Introduction, examples and outlook |
| GreenSea: Visual Soccer Analysis Using Broad | learning | System |
| Grey wolf optimizer-based | learning | automata for solving block matching problem |
| GRF: | learning | a General Radiance Field for 3D Representation and Rendering |
| Grid clustering analysis the big data of spectrum by deep | learning | |
| Grid-clustered rough set model for self- | learning | and fast reduction |
| Grid-GCN for Fast and Scalable Point Cloud | learning | |
| GridFace: Face Rectification via | learning | Local Homography Transformations |
| GridPull: Towards Scalability in | learning | Implicit Representations from 3D Point Clouds |
| GRIM: A General, Real-Time Deep | learning | Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity |
| Ground Observations and Environmental Covariates Integration for Mapping of Soil Salinity: A Machine | learning | -Based Approach |
| Ground Point Filtering From Airborne Lidar Point Clouds Using Deep | learning | : a Preliminary Study |
| Ground truth free retinal vessel segmentation by | learning | from simple pixels |
| Ground-plane classification for robot navigation: Combining multiple cues toward a visual-based | learning | system |
| Ground-Truth Free Meta- | learning | for Deep Compressive Sampling |
| Groundwater Level Data Imputation Using Machine | learning | and Remote Earth Observations Using Inductive Bias |
| Group Activity Recognition Using Joint | learning | of Individual Action Recognition and People Grouping |
| Group Activity Representation | learning | With Long-Short States Predictive Transformer |
| Group and collaborative dictionary pair | learning | for face recognition |
| Group Collaborative | learning | for Co-Salient Object Detection |
| Group Consistent Similarity | learning | via Deep CRF for Person Re-identification |
| Group context | learning | for event recognition |
| Group Contrastive Self-Supervised | learning | on Graphs |
| Group Loss for Deep Metric | learning | , The |
| Group Loss++: A Deeper Look Into Group Loss for Deep Metric | learning | , The |
| Group Masked Model | learning | for General Audio Representation |
| Group Norm for | learning | Structured SVMs with Unstructured Latent Variables |
| Group Self-Paced | learning | With a Time-Varying Regularizer for Unsupervised Change Detection |
| Group Sparse Non-negative Matrix Factorization for Multi-Manifold | learning | |
| Group Sparsity and Geometry Constrained Dictionary | learning | for Action Recognition from Depth Maps |
| Group structured dirty dictionary | learning | for classification |
| Group Whitening: Balancing | learning | Efficiency and Representational Capacity |
| Group'n Route: An Edge | learning | -Based Clustering and Efficient Routing Scheme Leveraging Social Strength for the Internet of Vehicles |
| Group-aware deep feature | learning | for facial age estimation |
| Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker | learning | |
| Group-constrained manifold | learning | : Application to AD risk assessment |
| Group-Group Loss-Based Global-Regional Feature | learning | for Vehicle Re-Identification |
| Group-in-Group Relation-Based Transformer for 3D Point Cloud | learning | |
| Group-sensitive multiple kernel | learning | for object categorization |
| Group-Sensitive Multiple Kernel | learning | for Object Recognition |
| Group-Wise Hub Identification by | learning | Common Graph Embeddings on Grassmannian Manifold |
| Group-Wise | learning | for Weakly Supervised Semantic Segmentation |
| GroupFace: | learning | Latent Groups and Constructing Group-Based Representations for Face Recognition |
| Growing a Brain with Sparsity-Inducing Generation for Continual | learning | |
| Growing Neural Gas (GNG): A Soft Competitive | learning | Method for 2D Hand Modelling |
| GSA-ELM: A hybrid | learning | model for short-term traffic flow forecasting |
| GSAL: Geometric structure adversarial | learning | for robust medical image segmentation |
| GSGAN: | learning | controllable geospatial images generation |
| GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot | learning | |
| GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature | learning | in Semantic Segmentation |
| GTP-PNet: A residual | learning | network based on gradient transformation prior for pansharpening |
| Guest Editorial Annotation-Efficient Deep | learning | : The Holy Grail of Medical Imaging |
| Guest Editorial Artificial Intelligence and Deep | learning | for Intelligent and Sustainable Traffic and Vehicle Management (VANETs) |
| Guest Editorial Deep | learning | in Medical Imaging: Overview and Future Promise of an Exciting New Technique |
| Guest Editorial Introduction to Special Section on | learning | -Based Image and Video Compression |
| Guest Editorial Introduction to the Special Issue on Advanced Machine | learning | Methodologies for Large-Scale Video Object Segmentation and Detection |
| Guest Editorial Introduction to the Special Issue on Deep | learning | Models for Safe and Secure Intelligent Transportation Systems |
| Guest Editorial Introduction to the Special Issue on Graph-Based Machine | learning | for Intelligent Transportation Systems |
| Guest Editorial Introduction to the Special Issue on Large Scale and Nonlinear Similarity | learning | for Intelligent Video Analysis |
| Guest Editorial Introduction to the Special Section on Representation | learning | for Visual Content Understanding |
| Guest Editorial Machine | learning | for Vision |
| Guest Editorial Special Issue on Federated | learning | for Medical Imaging: Enabling Collaborative Development of Robust AI Models |
| Guest Editorial Special Issue on Geometric Deep | learning | in Medical Imaging |
| Guest Editorial Special Section on | learning | With Multimodal Data for Biomedical Informatics |
| Guest Editorial: Adversarial Deep | learning | in Biometrics and Forensics |
| Guest Editorial: Automated Machine | learning | |
| Guest Editorial: Deep | learning | |
| Guest Editorial: Deep | learning | for Multimedia Computing |
| Guest Editorial: Deep | learning | in Computer Vision |
| Guest Editorial: Geometry, Lighting, Motion, and | learning | |
| Guest editorial: Graph | learning | for computer vision |
| Guest Editorial: | learning | from limited annotations for computer vision tasks |
| Guest Editorial: | learning | with Manifolds in Computer Vision |
| Guest Editorial: Non-Euclidean Machine | learning | |
| Guest editorial: Recent advances in representation | learning | for robust biometric recognition systems |
| Guest Editorial: Special Issue on Deep | learning | for Video Analysis and Compression |
| Guest Editorial: Special Issue on Robot | learning | by Observation, Demonstration, and Imitation |
| Guest Editorial: Statistical and Computational Theories of Vision: Modeling, | learning | , Sampling and Computing, Part I |
| Guest Editors' Introduction to the Special Section on Compact and Efficient Feature Representation and | learning | in Computer Vision |
| Guest Editors' Introduction to the Special Section on | learning | with Shared Information for Computer Vision and Multimedia Analysis |
| Guest Editors' Introduction: Special issue on deep | learning | with applications to visual representation and analysis |
| Guest Editors' Introduction: Special Section on | learning | Deep Architectures |
| Guidance Network with Staged | learning | for Image enhancement |
| Guided Collaborative Training for Pixel-Wise Semi-Supervised | learning | |
| Guided Deep Metric | learning | |
| Guided Discrimination and Correlation Subspace | learning | for Domain Adaptation |
| Guided Point Contrastive | learning | for Semi-supervised Point Cloud Semantic Segmentation |
| Guided Representation | learning | for the Classification of Hematopoietic Cells |
| Guided Saliency Feature | learning | for Person Re-identification in Crowded Scenes |
| Guided Unsupervised | learning | of Mode Specific Models for Facial Point Detection in the Wild |
| Guided Variational Autoencoder for Disentanglement | learning | |
| Guideline-Based Machine | learning | for Standard Plane Extraction in 3D Cardiac Ultrasound |
| GuideNet: | learning | Inter- Vertebral Guides in DXA Lateral Spine Images |
| Guiding intelligent surveillance system by | learning | -by-synthesis gaze estimation |
| Guiding Labelling Effort for Efficient | learning | With Georeferenced Images |
| Gully Erosion Susceptibility Mapping in Highly Complex Terrain Using Machine | learning | Models |
| GyroFlow: Gyroscope-Guided Unsupervised Optical Flow | learning | |
| Gyrovector Space Approach for Symmetric Positive Semi-definite Matrix | learning | , A |
| H-MAS architecture and reinforcement | learning | method for autonomous robot path planning |
| H-RNet: Hybrid Relation Network for Few-Shot | learning | -Based Hyperspectral Image Classification |
| H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine | learning | |
| H-TD2: Hybrid Temporal Difference | learning | for Adaptive Urban Taxi Dispatch |
| H4D: Human 4D Modeling by | learning | Neural Compositional Representation |
| H4MER: Human 4D Modeling by | learning | Neural Compositional Representation With Transformer |
| HA-Net: A Lake Water Body Extraction Network Based on Hybrid-Scale Attention and Transfer | learning | |
| HA-Net: Hierarchical Attention Network Based on Multi-Task | learning | for Ciliary Muscle Segmentation in AS-OCT |
| Habitat-Web: | learning | Embodied Object-Search Strategies from Human Demonstrations at Scale |
| Hair Fescue and Sheep Sorrel Identification Using Deep | learning | in Wild Blueberry Production |
| Hairstyle Suggestion Using Statistical | learning | |
| HAL3D: Hierarchical Active | learning | for Fine-Grained 3D Part Labeling |
| Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active | learning | |
| Halftoning with Multi-Agent Deep Reinforcement | learning | |
| Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial | learning | |
| Hallucinating Color Face Image by | learning | Graph Representation in Quaternion Space |
| Halo: Hardware-aware | learning | to Optimize |
| HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised | learning | of Actions |
| HAMIL: Hierarchical aggregation-based multi-instance | learning | for microscopy image classification |
| HAMIL: High-Resolution Activation Maps and Interleaved | learning | for Weakly Supervised Segmentation of Histopathological Images |
| Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and | learning | , A |
| HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised | learning | |
| Hand Image Understanding via Deep Multi-Task | learning | |
| Hand Pose Ensemble | learning | Based on Grouping Features of Hand Point Sets |
| Hand pose estimation based on deep | learning | depth map for hand gesture recognition |
| Hand pose estimation in object-interaction based on deep | learning | for virtual reality applications |
| Hand pose estimation through semi-supervised and weakly-supervised | learning | |
| Hand posture recognition based on bottom-up structured deep convolutional neural network with curriculum | learning | |
| Hand Segmentation Using | learning | -Based Prediction and Verification for Hand-Sign Recognition |
| Hand Segmentation with Structured Convolutional | learning | |
| Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation | learning | |
| Hand-Crafted Feature Guided Deep | learning | for Facial Expression Recognition |
| Hand-Printed Chinese Character Recognition via Machine | learning | |
| Hand-Raising Gesture Detection with Lienhart-Maydt Method in Videoconference and Distance | learning | |
| Handling Camera Movement Constraints in Reinforcement | learning | Based Active Object Recognition |
| Handling Label Noise in Video Classification via Multiple Instance | learning | |
| Handwriting Recognition in Low-Resource Scripts Using Adversarial | learning | |
| Handwritten Arabic numeral recognition using deep | learning | neural networks |
| Handwritten Character Segmentation Using Transformation-based | learning | |
| Handwritten Chinese text line segmentation by clustering with distance metric | learning | |
| Handwritten Digit Recognition: Application of Neural Network Chips and Automatic | learning | |
| Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep | learning | approach |
| Handwritten Mathematical Expression Recognition via Paired Adversarial | learning | |
| Handwritten Numeral Recognition Based on Hierarchically Self-Organizing | learning | Networks with Spatio-Temporal Pattern Recognition |
| Handwritten numeral recognition using flexible matching based on | learning | of stroke statistics |
| Haptic Needle Manipulation Simulator For Chinese Acupuncture | learning | And Training, A |
| HAR Enhanced Weakly-Supervised Semantic Segmentation Coupled with Adversarial | learning | |
| HAR-Net: Joint | learning | of Hybrid Attention for Single-Stage Object Detection |
| Hard Negative Mining for Metric | learning | Based Zero-Shot Classification |
| Hard Sample Aware Noise Robust | learning | for Histopathology Image Classification |
| Hard Zero Shot | learning | for Gesture Recognition |
| Hardness Sampling for Self-Training Based Transductive Zero-Shot | learning | |
| Hardness-Aware Deep Metric | learning | |
| Hardness-Aware Dictionary | learning | : Boosting Dictionary for Recognition |
| Hardware Prototype Targeting Distributed Deep | learning | for On-device Inference, A |
| Hardware-Aware Pruning for FPGA Deep | learning | Accelerators |
| Hardware-Efficient Ultrasonic Entrance Counting: Comparing Different Machine | learning | Approaches |
| Harmonic Neural Networks for On-Line | learning | Vector Quantisation |
| Harmonious Feature | learning | for Interactive Hand-Object Pose Estimation |
| Harmonious Lane Changing via Deep Reinforcement | learning | |
| Harmonious Textual Layout Generation Over Natural Images via Deep Aesthetics | learning | |
| Harmonized Multimodal | learning | with Gaussian Process Latent Variable Models |
| Harmonizer: | learning | to Perform White-Box Image and Video Harmonization |
| Harnessing Machine | learning | Techniques for Mapping Aquaculture Waterbodies in Bangladesh |
| Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised | learning | |
| Hash Bit Selection With Reinforcement | learning | for Image Retrieval |
| Hash | learning | With Variable Quantization for Large-Scale Retrieval |
| Hash-based structural similarity for semi-supervised | learning | on attribute graphs |
| HashGAN: Deep | learning | to Hash with Pair Conditional Wasserstein GAN |
| Hashing as Tie-Aware | learning | to Rank |
| Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active | learning | |
| Hashing Nets for Hashing: A Quantized Deep | learning | to Hash Framework for Remote Sensing Image Retrieval |
| Hashing with Non-Linear Manifold | learning | |
| Hashing With Pairwise Correlation | learning | and Reconstruction |
| HashNet: Deep | learning | to Hash by Continuation |
| HATF: Multi-Modal Feature | learning | for Infrared and Visible Image Fusion via Hybrid Attention Transformer |
| HAVANA: Hard Negative Sample-Aware Self-Supervised Contrastive | learning | for Airborne Laser Scanning Point Cloud Semantic Segmentation |
| HCI for Elderly, Measuring Visual Complexity of Webpages Based on Machine | learning | |
| HCIL: Hierarchical Class Incremental | learning | for Longline Fishing Visual Monitoring |
| HCL: Hierarchical Consistency | learning | for Webly Supervised Fine-Grained Recognition |
| HD-MTL: Hierarchical Deep Multi-Task | learning | for Large-Scale Visual Recognition |
| HDD-Net: Hybrid Detector Descriptor with Mutual Interactive | learning | |
| HDEC-TFA: An Unsupervised | learning | Approach for Discovering Physical Scattering Properties of Single-Polarized SAR Image |
| HDGN: Heat diffusion graph network for few-shot | learning | |
| HDNet: High-resolution Dual-domain | learning | for Spectral Compressive Imaging |
| HDR Display Quality Evaluation by incorporating Perceptual Component Models into a Machine | learning | framework |
| HDR light field imaging of dynamic scenes: A | learning | -based method and a benchmark dataset |
| HDRLM3D: A Deep Reinforcement | learning | -Based Model with Human-like Perceptron and Policy for Crowd Evacuation in 3D Environments |
| Head and gaze dynamics in visual attention and context | learning | |
| Head Pose Estimation Based on Manifold Embedding and Distance Metric | learning | |
| Head pose estimation by nonlinear manifold | learning | |
| Head pose estimation using Fisher manifold | learning | |
| HeadPose-Softmax: Head pose adaptive curriculum | learning | loss for deep face recognition |
| Heart ID: Human Identification Based on Radar Micro-Doppler Signatures of the Heart Using Deep | learning | |
| Heat Diffusion Long-Short Term Memory | learning | for 3D Shape Analysis |
| Heat Exchange Capacity Prediction of Borehole Heat Exchanger (BHE) From Infrastructure Based on Machine | learning | (ML) Methods |
| Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial | learning | |
| Heavy-Tailed Model for Visual Tracking via Robust Subspace | learning | |
| Hebbian | learning | Meets Deep Convolutional Neural Networks |
| Hebbian | learning | subspace method: A new approach |
| Helicobacter pylori infection detection from multiple x-ray images based on combination use of support vector machine and multiple kernel | learning | |
| HelixSurf: A Robust and Efficient Neural Implicit Surface | learning | of Indoor Scenes with Iterative Intertwined Regularization |
| Helpful or Harmful: Inter-task Association in Continual | learning | |
| HEMlets Pose: | learning | Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation |
| HEMlets PoSh: | learning | Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation |
| HEp-2 cell pattern classification with discriminative dictionary | learning | |
| Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine | learning | |
| Heri-Graphs: A Dataset Creation Framework for Multi-Modal Machine | learning | on Graphs of Heritage Values and Attributes with Social Media |
| HERS Superpixels: Deep Affinity | learning | for Hierarchical Entropy Rate Segmentation |
| Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement | learning | |
| Heterogeneous Continual | learning | |
| Heterogeneous Contrastive | learning | : Encoding Spatial Information for Compact Visual Representations |
| Heterogeneous CPU-GPU tracking- | learning | -detection (H-TLD) for real-time object tracking |
| Heterogeneous data analysis: Online | learning | for medical-image-based diagnosis |
| Heterogeneous Diversity Driven Active | learning | for Multi-Object Tracking |
| Heterogeneous Domain Adaptation With Adversarial Neural Representation | learning | : Experiments on E-Commerce and Cybersecurity |
| Heterogeneous Face Attribute Estimation: A Deep Multi-Task | learning | Approach |
| Heterogeneous Face Frontalization via Domain Agnostic | learning | |
| Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric | learning | |
| Heterogeneous Feature Fusion Based Machine | learning | on Shallow-wide and Heterogeneous-sparse Industrial Datasets |
| Heterogeneous Forgetting Compensation for Class-Incremental | learning | |
| Heterogeneous Graph Contrastive | learning | Network for Personalized Micro-Video Recommendation |
| Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot | learning | |
| Heterogeneous Image Features Integration via Multi-modal Semi-supervised | learning | Model |
| Heterogeneous Interactive | learning | Network for Unsupervised Cross-modal Retrieval |
| Heterogeneous Knowledge | learning | of Predictive Academic Intelligence in Transportation |
| Heterogeneous machine | learning | system for improving the diagnosis of primary aldosteronism |
| Heterogeneous Multi-Party | learning | With Data-Driven Network Sampling |
| Heterogeneous Multi-Task | learning | for Human Pose Estimation with Deep Convolutional Neural Network |
| Heterogeneous multimedia cooperative annotation based on multimodal correlation | learning | |
| Heterogeneous network representation | learning | based on role feature extraction |
| Heterogeneous Reinforcement | learning | Network for Aspect-Based Sentiment Classification With External Knowledge |
| Heterogeneous Representation | learning | and Matching for Few-Shot Relation Prediction |
| Heterogeneous spatio-temporal relation | learning | network for facial action unit detection |
| Heterogeneous Trajectory Forecasting via Risk and Scene Graph | learning | |
| Heterogeneous Transfer | learning | for Hyperspectral Image Classification Based on Convolutional Neural Network |
| Heteroscedastic probabilistic linear discriminant analysis for manifold | learning | in video-based face recognition |
| Heuristic sample | learning | for complex urban scenes: Application to urban functional-zone mapping with VHR images and POI data |
| Heuristic- | learning | Optimizer for Elastodynamic Waveform Inversion in Passive Seismics, A |
| Heuristics-Based | learning | Approach for Choquistic Regression Models |
| HexNet: An Orientation-Aware Deep | learning | Framework for Omni-Directional Input |
| HF-UNet: | learning | Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images |
| HGNet: | learning | Hierarchical Geometry from Points, Edges, and Surfaces |
| HiBsteR: Hierarchical Boosted Deep Metric | learning | for Image Retrieval |
| HICO: Hierarchical Contrastive | learning | for Ultrasound Video Model Pretraining |
| Hidden annotation for image retrieval with long-term relevance feedback | learning | |
| Hidden Footprints: | learning | Contextual Walkability from 3d Human Trails |
| Hidden Gems: 4D Radar Scene Flow | learning | Using Cross-Modal Supervision |
| Hidden Layers in Perceptual | learning | |
| HIER: Metric | learning | Beyond Class Labels via Hierarchical Regularization |
| Hierarchical Airport Detection Method Using Spatial Analysis and Deep | learning | , A |
| Hierarchical and Partially Observable Goal-driven Policy | learning | with Goals Relational Graph |
| hierarchical and regional deep | learning | architecture for image description generation, A |
| Hierarchical Attention | learning | of Scene Flow in 3D Point Clouds |
| hierarchical autoencoder | learning | model for path prediction and abnormality detection, A |
| Hierarchical Bayesian image analysis: From low-level modeling to robust supervised | learning | |
| Hierarchical Blockchain-Enabled Federated | learning | Algorithm for Knowledge Sharing in Internet of Vehicles, A |
| Hierarchical broad | learning | system for hyperspectral image classification |
| Hierarchical Clustering Multi-Task | learning | for Joint Human Action Grouping and Recognition |
| Hierarchical Color | learning | in Convolutional Neural Networks |
| Hierarchical complementary | learning | for weakly supervised object localization |
| Hierarchical Content Description and Object Formation by | learning | |
| Hierarchical Contrastive Inconsistency | learning | for Deepfake Video Detection |
| Hierarchical Contrastive | learning | for Pattern-Generalizable Image Corruption Detection |
| Hierarchical Coupled Discriminative Dictionary | learning | for Zero-Shot Learning |
| Hierarchical Coupled Discriminative Dictionary | learning | for Zero-Shot Learning |
| Hierarchical Curriculum | learning | for No-Reference Image Quality Assessment |
| Hierarchical Deep CNN Feature Set-Based Representation | learning | for Robust Cross-Resolution Face Recognition |
| Hierarchical Deep | learning | Approach for Plant Disease Detection |
| hierarchical deep | learning | framework for the consistent classification of land use objects in geospatial databases, A |
| Hierarchical Deep Reinforcement | learning | for Self-Powered Monitoring and Communication Integrated System in High-Speed Railway Networks |
| Hierarchical Deep Reinforcement | learning | Framework for 6-DOF UCAV Air-to-Air Combat, A |
| Hierarchical deep transfer | learning | for finie-grained categorization on micro datasets |
| Hierarchical Deep- | learning | Approach for Rapid Windthrow Detection on PlanetScope and High-Resolution Aerial Image Data, A |
| Hierarchical Defect Detection Based On Reinforcement | learning | |
| Hierarchical Detection of Network Anomalies: A Self-Supervised | learning | Approach |
| Hierarchical Dictionary | learning | and Sparse Coding for Static Signature Verification |
| Hierarchical Discriminative | learning | Improves Visual Representations of Biomedical Microscopy |
| Hierarchical Disentangled Representation | learning | for Outdoor Illumination Estimation and Editing |
| Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot | learning | |
| Hierarchical disentangling network for object representation | learning | |
| Hierarchical distillation | learning | for scalable person search |
| Hierarchical Domain-Adapted Feature | learning | for Video Saliency Prediction |
| Hierarchical ensemble of Extreme | learning | Machine |
| Hierarchical Extended Bilateral Motion Estimation-Based Frame Rate Upconversion Using | learning | -Based Linear Mapping |
| Hierarchical face parsing via deep | learning | |
| Hierarchical Feature Pooling with Structure | learning | : A New Method for Pedestrian Detection |
| Hierarchical Features Driven Residual | learning | for Depth Map Super-Resolution |
| Hierarchical Framework for Passenger Inflow Control in Metro System With Reinforcement | learning | , A |
| Hierarchical Gaussian Processes model for multi-task | learning | |
| Hierarchical gaze estimation based on adaptive feature | learning | |
| Hierarchical Graph Attention Network for Few-shot Visual-Semantic | learning | |
| Hierarchical Graph Augmented Deep Collaborative Dictionary | learning | for Classification |
| Hierarchical Graph Neural Networks for Few-Shot | learning | |
| Hierarchical Grid-Based | learning | Approach for Recovering Unknown Depths in Kinect Depth Maps |
| Hierarchical Hashing | learning | for Image Set Classification |
| Hierarchical Image-region Labeling via Structured | learning | |
| Hierarchical interpretation of human activities using competitive | learning | |
| Hierarchical Joint Max-Margin | learning | of Mid and Top Level Representations for Visual Recognition |
| Hierarchical Knowledge Guided | learning | for Real-World Retinal Disease Recognition |
| Hierarchical | learning | Approach for Detection of Clustered Microcalcifications in Mammograms, A |
| Hierarchical | learning | for large multi-class network classification |
| Hierarchical | learning | for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography |
| Hierarchical | learning | of Curves Application to Guidewire Localization in Fluoroscopy |
| Hierarchical | learning | of Dominant Constellations for Object Class Recognition |
| Hierarchical | learning | of multi-task sparse metrics for large-scale image classification |
| Hierarchical | learning | of Tree Classifiers for Large-Scale Plant Species Identification |
| Hierarchical | learning | Using Deep Optimum-Path Forest |
| Hierarchical | learning | -Guided human motion quality assessment in big data environment |
| Hierarchical Locality-Aware Deep Dictionary | learning | for Classification |
| Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse | learning | |
| Hierarchical Machine | learning | Approach for Multi-Level and Multi-Resolution 3D Point Cloud Classification, A |
| Hierarchical Manifold | learning | for Regional Image Analysis |
| Hierarchical Manifold | learning | With Applications to Supervised Classification for High-Resolution Remotely Sensed Images |
| Hierarchical Memory | learning | for Fine-Grained Scene Graph Generation |
| Hierarchical Metric | learning | and Matching for 2D and 3D Geometric Correspondences |
| Hierarchical Mixtures of Generators for Adversarial | learning | |
| hierarchical model for | learning | to understand head gesture videos, A |
| Hierarchical Motion | learning | for Goal-Oriented Movements With Speed-Accuracy Tradeoff of a Musculoskeletal System |
| Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement | learning | Based Predictive Control |
| Hierarchical Multi-label Classification using Fully Associative Ensemble | learning | |
| Hierarchical Multi-modal Image Registration by | learning | Common Feature Representations |
| Hierarchical Multi-task | learning | via Task Affinity Groupings |
| Hierarchical Multi-View Semi-Supervised | learning | for Very High-Resolution Remote Sensing Image Classification |
| Hierarchical Multimodal Metric | learning | for Multimodal Classification |
| Hierarchical Multiple Classifier | learning | Algorithm, A |
| Hierarchical Neural Networks for | learning | 3-Dimensional Objects from Range Images |
| Hierarchical object indexing and sequential | learning | |
| Hierarchical Object Representations for Visual Recognition via Weakly Supervised | learning | |
| Hierarchical Optimization-Derived | learning | |
| Hierarchical Perception Adversarial | learning | Framework for Compressed Sensing MRI |
| Hierarchical Point-based Active | learning | for Semi-supervised Point Cloud Semantic Segmentation |
| Hierarchical preference | learning | for light control from user feedback |
| Hierarchical Program-Triggered Reinforcement | learning | Agents for Automated Driving |
| Hierarchical Prompt | learning | for Multi-Task Learning |
| Hierarchical Prompt | learning | for Multi-Task Learning |
| Hierarchical Prototype | learning | for Zero-Shot Recognition |
| Hierarchical Prototype Networks for Continual Graph Representation | learning | |
| Hierarchical Prototype Refinement With Progressive Inter-Categorical Discrimination Maximization for Few-Shot | learning | |
| Hierarchical Proxy-based Loss for Deep Metric | learning | |
| Hierarchical Pseudo Labeling Based Embranchment | learning | for One-Shot Person Re-Identification |
| Hierarchical Reinforcement | learning | Algorithm Based on Attention Mechanism for UAV Autonomous Navigation, A |
| Hierarchical reinforcement | learning | for chip-macro placement in integrated circuit |
| Hierarchical reinforcement | learning | for self-driving decision-making without reliance on labelled driving data |
| Hierarchical Representation | learning | for Kinship Verification |
| Hierarchical representation | learning | using spherical k-means for segmentation-free word spotting |
| Hierarchical residual | learning | for image denoising |
| Hierarchical Scene Parsing by Weakly Supervised | learning | with Image Descriptions |
| Hierarchical segmentation and identification of thoracic vertebra using | learning | -based edge detection and coarse-to-fine deformable model |
| Hierarchical Segmentation Approach with Convolution-Recursive Deep | learning | for 3D Multi-Object Recognition under Partial Occlusion Conditions, A |
| Hierarchical Self-Supervised | learning | for 3D Tooth Segmentation in Intra-Oral Mesh Scans |
| Hierarchical Self-supervised Representation | learning | for Movie Understanding |
| Hierarchical Semi-supervised Contrastive | learning | for Contamination-Resistant Anomaly Detection |
| Hierarchical Skeleton Meta-Prototype Contrastive | learning | with Hard Skeleton Mining for Unsupervised Person Re-identification |
| Hierarchical Sparse Bayesian | learning | with Beta Process Priors for Hyperspectral Imagery Restoration |
| Hierarchical Spatio-Temporal Representation | learning | for Gait Recognition |
| Hierarchical Statistical | learning | of Generic Parts of Object Structure |
| Hierarchical Subquery Evaluation for Active | learning | on a Graph |
| Hierarchical Tracking by Reinforcement | learning | -Based Searching and Coarse-to-Fine Verifying |
| Hierarchical Training for Distributed Deep | learning | Based on Multimedia Data over Band-Limited Networks |
| Hierarchical transfer | learning | for online recognition of compound actions |
| Hierarchical unsupervised | learning | of facial expression categories |
| Hierarchical Urban Forest Index Using Street-Level Imagery and Deep | learning | , A |
| Hierarchical Visual Categories Modeling: A Joint Representation | learning | and Density Estimation Framework for Out-of-Distribution Detection |
| Hierarchical Visual Primitive Experts for Compositional Zero-Shot | learning | |
| Hierarchical Visual-Textual Knowledge Distillation for Life-Long Correlation | learning | |
| Hierarchical zero-shot classification with convolutional neural network features and semantic attribute | learning | |
| Hierarchical, | learning | -based automatic liver segmentation |
| Hierarchical-Instance Contrastive | learning | for Minority Detection on Imbalanced Medical Datasets |
| hierarchical-structured dictionary | learning | for image classification, A |
| Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation | learning | |
| Hierarchically Robust Representation | learning | |
| Hierarchically Self-supervised Transformer for Human Skeleton Representation | learning | |
| Hierarchy of GANs for | learning | Embodied Self-Awareness Model |
| Hierarchy-Dependent Cross-Platform Multi-View Feature | learning | for Venue Category Prediction |
| HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised | learning | |
| HierVL: | learning | Hierarchical Video-Language Embeddings |
| HiFace: High-Fidelity 3D Face Reconstruction by | learning | Static and Dynamic Details |
| Hiface: Hybrid Task | learning | for Face Reconstruction from Single Image |
| High performance object detection by collaborative | learning | of Joint Ranking of Granules features |
| High Resolution Radar Dataset for Semi-Supervised | learning | of Dynamic Objects |
| High Spatial Resolution Nighttime PM2.5 Datasets in the Beijing-Tianjin-Hebei Region from 2015 to 2021 Using VIIRS/DNB and Deep | learning | Model |
| High Spatiotemporal Resolution PM2.5 Concentration Estimation with Machine | learning | Algorithm: A Case Study for Wildfire in California |
| High Speed Rough Classification for Handwritten Characters Using Hierarchical | learning | Vector Quantization |
| High Wind Speed Inversion Model of CYGNSS Sea Surface Data Based on Machine | learning | |
| High-Accuracy Mapping of Soil Parent Material Types in Hilly Areas at the County Scale Using Machine | learning | Algorithms |
| High-Coverage Satellite-Based Coastal Bathymetry through a Fusion of Physical and | learning | Methods |
| High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep | learning | |
| High-dimensional clustering using frequency sensitive competitive | learning | |
| High-Dimensional MR Spatiospectral Imaging by Integrating Physics-Based Modeling and Data-Driven Machine | learning | : Current progress and future directions |
| High-dimensional MRI data analysis using a large-scale manifold | learning | approach |
| High-Fidelity Generalized Emotional Talking Face Generation with Multi-Modal Emotion Space | learning | |
| High-Order Distance-Based Multiview Stochastic | learning | in Image Classification |
| High-Order Feature | learning | for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI |
| High-Order Information Matters: | learning | Relation and Topology for Occluded Person Re-Identification |
| High-order interaction feature selection for classification | learning | : A robust knowledge metric perspective |
| High-Order Interaction | learning | for Image Captioning |
| High-performance dynamic magnetic resonance image reconstruction and synthesis employing deep feature | learning | convolutional networks |
| high-performance insulators location scheme based on YOLOv4 deep | learning | network with GDIoU loss function, A |
| High-Precision Population Spatialization in Metropolises Based on Ensemble | learning | : A Case Study of Beijing, China |
| High-Rankness Regularized Semi-Supervised Deep Metric | learning | for Remote Sensing Imagery |
| High-Resolution Cropland Map for the West African Sahel Based on High-Density Training Data, Google Earth Engine, and Locally Optimized Machine | learning | , A |
| High-Resolution Gridded Livestock Projection for Western China Based on Machine | learning | |
| High-Resolution Mangrove Forests Classification with Machine | learning | Using Worldview and UAV Hyperspectral Data |
| High-Resolution PM2.5 Concentrations Estimation Based on Stacked Ensemble | learning | Model Using Multi-Source Satellite TOA Data |
| High-Resolution Radar Imaging in Complex Environments Based on Bayesian | learning | With Mixture Models |
| High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine | learning | over Kuroshio Extension |
| High-Resolution Sparse Subband Imaging Based on Bayesian | learning | With Hierarchical Priors |
| High-Resolution Spatial Distribution-Based Integration Machine | learning | Algorithm for Urban Fire Risk Assessment: A Case Study in Chengdu, China, A |
| High-Resolution Terrain Modeling Using Airborne LiDAR Data with Transfer | learning | |
| High-Speed Maneuvering Target Inverse Synthetic Aperture Radar Imaging and Motion Parameter Estimation Based on Fast Spare Bayesian | learning | and Minimum Entropy |
| Higher Order Statistical | learning | for Vehicle Detection in Images |
| HigherHRNet: Scale-Aware Representation | learning | for Bottom-Up Human Pose Estimation |
| Highly Accurate Image Reconstruction for Multimodal Noise Suppression Using Semisupervised | learning | on Big Data |
| Highly Confident Local Structure Based Consensus Graph | learning | for Incomplete Multi-view Clustering |
| Highly Crowd Detection and Counting Based on Curriculum | learning | |
| Highly Efficient Audio Coding With Blind Spectral Recovery Based on Machine | learning | |
| Highly Efficient Vehicle Taillight Detection Approach Based on Deep | learning | , A |
| Highway Exiting Planner for Automated Vehicles Using Reinforcement | learning | |
| Himawari-8/AHI Aerosol Optical Depth Detection Based on Machine | learning | Algorithm |
| Hinge loss bound approach for surrogate supervision multi-view | learning | |
| Hippocampus-heuristic character recognition network for zero-shot | learning | in Chinese character recognition |
| Histogram distance metric | learning | for facial expression recognition |
| Histological Image Classification using Deep Features and Transfer | learning | |
| Histopathological Image Classification Through Discriminative Feature | learning | and Mutual Information-Based Multi-Channel Joint Sparse Representation |
| Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary | learning | |
| Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation | learning | |
| HKGAIL: Policy shaping via integrating human knowledge with generative adversarial imitation | learning | |
| HL-Net: Heterophily | learning | Network for Scene Graph Generation |
| HM-SMF: An Efficient Strategy Optimization using a Hybrid Machine | learning | Model for Stock Market Prediction |
| HMDRL: Hierarchical Mixed Deep Reinforcement | learning | to Balance Vehicle Supply and Demand |
| HMM-based temporal difference | learning | with model-updating capability for visual tracking of human communicational behaviors, An |
| HNSSL: Hard Negative-Based Self-Supervised | learning | |
| Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: | learning | From Radiology Reports and Label Ontology |
| Holistic Framework for Addressing the World Using Machine | learning | , A |
| Holistic Geometric Feature | learning | for Structured Reconstruction |
| Holistic Overview of Anticipatory | learning | for the Internet of Moving Things: Research Challenges and Opportunities, A |
| Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised | learning | |
| Holistically-Guided Decoder for Deep Representation | learning | With Applications to Semantic Segmentation and Object Detection, A |
| HoloGAN: Unsupervised | learning | of 3D Representations From Natural Images |
| Holographic Feature | learning | of Egocentric-Exocentric Videos for Multi-Domain Action Recognition |
| Holoscopic 3D Micro-Gesture Recognition Based on Fast Preprocessing and Deep | learning | Techniques |
| Homeomorphic Manifold Analysis: | learning | Decomposable Generative Models for Human Motion Analysis |
| Homogeneous-to-Heterogeneous: Unsupervised | learning | for RGB-Infrared Person Re-Identification |
| Hookworm Detection in Wireless Capsule Endoscopy Images With Deep | learning | |
| Hopfield-type neural ordinary differential equation for robust machine | learning | |
| Horizon line detection using supervised | learning | and edge cues |
| Horizon Picking from SBP Images Using Physicals-Combined Deep | learning | |
| HorizonNet: | learning | Room Layout With 1D Representation and Pano Stretch Data Augmentation |
| Horizontal Flipping Assisted Disentangled Feature | learning | for Semi-supervised Person Re-identification |
| Horizontal Flows and Manifold Stochastics in Geometric Deep | learning | |
| Horror Image Recognition Based on Context-Aware Multi-Instance | learning | |
| Horror Video Scene Recognition Based on Multi-view Multi-instance | learning | |
| Hough-CNN: Deep | learning | for segmentation of deep brain regions in MRI and ultrasound |
| Hourly Ground-Level PM2.5 Estimation Using Geostationary Satellite and Reanalysis Data via Deep | learning | |
| Hourly PM2.5 Estimates from a Geostationary Satellite Based on an Ensemble | learning | Algorithm and Their Spatiotemporal Patterns over Central East China |
| Hourly Rainfall Forecast Model Using Supervised | learning | Algorithm |
| Household Garbage Classification and Collection Device Based on Machine Vision and Deep | learning | , A |
| How and What to Learn: Taxonomizing Self-Supervised | learning | for 3D Action Recognition |
| How Are Macro-Scale and Micro-Scale Built Environments Associated with Running Activity? The Application of Strava Data and Deep | learning | in Inner London |
| How are you feeling? Multimodal Emotion | learning | for Socially-Assistive Robot Navigation |
| How Bad May | learning | Curves Be? |
| How deep | learning | extracts and learns leaf features for plant classification |
| How Does Sample Labeling and Distribution Affect the Accuracy and Efficiency of a Deep | learning | Model for Individual Tree-Crown Detection and Delineation |
| How Does the Low-Rank Matrix Decomposition Help Internal and External | learning | s for Super-Resolution |
| How Efficient Are Today's Continual | learning | Algorithms? |
| How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using Machine | learning | ? |
| How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using Machine | learning | ? |
| How Much Deep | learning | does Neural Style Transfer Really Need? An Ablation Study |
| How robust are discriminatively trained zero-shot | learning | models? |
| How Severe Is Benchmark-Sensitivity in Video Self-Supervised | learning | ? |
| How Shift Equivariance Impacts Metric | learning | for Instance Segmentation |
| How the Small Object Detection via Machine | learning | and UAS-Based Remote-Sensing Imagery Can Support the Achievement of SDG2: A Case Study of Vole Burrows |
| How to Build a Graph-Based Deep | learning | Architecture in Traffic Domain: A Survey |
| How to define a rejection class based on model | learning | ? |
| How to Make a BLT Sandwich? | learning | VQA towards Understanding Web Instructional Videos |
| How to Make a Pizza: | learning | a Compositional Layer-Based GAN Model |
| How to Prevent the Poor Performance Clients for Personalized Federated | learning | ? |
| How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot | learning | |
| How Useful Is Photo-Realistic Rendering for Visual | learning | ? |
| How Well Do Deep | learning | -Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery? |
| How You Feelin'? | learning | Emotions and Mental States in Movie Scenes |
| HowTo100M: | learning | a Text-Video Embedding by Watching Hundred Million Narrated Video Clips |
| HPA-Net: Hierarchical and Parallel Aggregation Network for Context | learning | in Stereo Matching |
| HPILN: a feature | learning | framework for cross-modality person re-identification |
| HQ2CL: A High-Quality Class Center | learning | System for Deep Face Recognition |
| HQRetouch: | learning | Professional Face Retouching Via Masked Feature Fusion and Semantic-Aware Modulation |
| HRDFuse: Monocular 360° Depth Estimation by Collaboratively | learning | Holistic-with-Regional Depth Distributions |
| HSE: Hybrid Species Embedding for Deep Metric | learning | |
| HSETA: A Heterogeneous and Sparse Data | learning | Hybrid Framework for Estimating Time of Arrival |
| HSGAN: Hierarchical Graph | learning | for Point Cloud Generation |
| HSP-MFL: A High-level Semantic Property driven Multi-task Feature | learning | Network for unsupervised person Re-ID |
| HTML: Hybrid Temporal-scale Multimodal | learning | Framework for Referring Video Object Segmentation |
| Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot | learning | with Hyperspherical Embeddings |
| Human Action Recognition and Localization in Video Using Structured | learning | of Local Space-Time Features |
| Human action recognition by | learning | bases of action attributes and parts |
| Human action recognition in RGB-D videos using motion sequence information and deep | learning | |
| Human Action Recognition in Videos Using Kinematic Features and Multiple Instance | learning | |
| Human Action Recognition Using Deep | learning | Methods |
| Human action recognition using similarity degree between postures and spectral | learning | |
| Human action recognition with graph-based multiple-instance | learning | |
| Human activities prediction by | learning | combinatorial sparse representations |
| Human activity recognition using 2D skeleton data and supervised machine | learning | |
| Human activity recognition using multi-features and multiple kernel | learning | |
| Human Activity Recognition with Metric | learning | |
| Human Age Estimation by Metric | learning | for Regression Problems |
| Human Age Estimation by Metric | learning | for Regression Problems |
| Human body part estimation from depth images via spatially-constrained deep | learning | |
| Human Body Shape Completion with Implicit Shape and Flow | learning | |
| Human Collective Intelligence Inspired Multi-View Representation | learning | : Enabling View Communication by Simulating Human Communication Mechanism |
| Human Detection Based On a Sequence of Thermal Images Using Deep | learning | |
| Human Face Detection Improvement Using Incremental | learning | Based on Low Variance Directions |
| Human face recognition based on multidimensional PCA and extreme | learning | machine |
| Human facial expression recognition based on | learning | subspace method |
| Human forehead recognition: a novel biometric modality based on near-infrared laser backscattering feature image using deep transfer | learning | |
| Human Gait Recognition Based on Deterministic | learning | and Data Stream of Microsoft Kinect |
| Human gait recognition based on deterministic | learning | through multiple views fusion |
| Human Gait Recognition Based on Frontal-View Sequences Using Gait Dynamics and Deep | learning | |
| Human Gait Recognition via Sparse Discriminant Projection | learning | |
| Human Interaction | learning | on 3d Skeleton Point Clouds for Video Violence Recognition |
| Human Interaction Understanding With Consistency-Aware | learning | |
| Human | learning | of Contextual Priors for Object Search: Where does the time go? |
| Human Motion Analysis with Deep Metric | learning | |
| Human Object Inpainting Using Manifold | learning | -Based Posture Sequence Estimation |
| Human Part-wise 3D Motion Context | learning | for Sign Language Recognition |
| Human Pose Estimation in Video via Structured Space | learning | and Halfway Temporal Evaluation |
| Human Pose Estimation Using Deep Structure Guided | learning | |
| Human Posture, or Human Pose, | learning | , Neural Networks |
| Human reappearance detection based on on-line | learning | |
| Human Reidentification with Transferred Metric | learning | |
| Human skin detection: An unsupervised machine | learning | way |
| Human tracking from single RGB-D camera using online | learning | |
| Human Trajectory Forecasting in Crowds: A Deep | learning | Perspective |
| Human-Aided Saliency Maps Improve Generalization of Deep | learning | |
| Human-Factors-in-Driving-Loop: Driver Identification and Verification via a Deep | learning | Approach using Psychological Behavioral Data |
| Human-Guided Reinforcement | learning | With Sim-to-Real Transfer for Autonomous Navigation |
| Human-Inspired Haptic-Enabled | learning | From Prehensile Move Demonstrations |
| human-like | learning | control for digital human models in a physics-based virtual environment, A |
| Human-Like Trajectory Planning on Curved Road: | learning | From Human Drivers |
| Humanising GrabCut: | learning | to segment humans using the Kinect |
| Humanoid Robot Imitation with Pose Similarity Metric | learning | |
| Hunting Sparsity: Density-Guided Contrastive | learning | for Semi-Supervised Semantic Segmentation |
| HVC-Net: Unifying Homography, Visibility, and Confidence | learning | for Planar Object Tracking |
| HVH: | learning | a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture |
| HY-LSTM: A new time series deep | learning | architecture for estimation of pedestrian time to cross in advanced driver assistance system |
| Hybrid active | learning | for reducing the annotation effort of operators in classification systems |
| Hybrid Active | learning | via Deep Clustering for Video Action Detection |
| hybrid and fast deep | learning | framework for Covid-19 detection via 3D Chest CT Images, A |
| Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised | learning | and Markov-Chain Monte Carlo Methods, A |
| Hybrid Approach of Video Indexing and Machine | learning | for Rapid Indexing and Highly Precise Object Recognition |
| Hybrid attention mechanism for few-shot relational | learning | of knowledge graphs |
| Hybrid Autonomous Driving Guidance Strategy Combining Deep Reinforcement | learning | and Expert System |
| Hybrid CNN-transformer based meta- | learning | approach for personalized image aesthetics assessment |
| Hybrid Consensus | learning | for Legume Species and Cultivars Classification |
| Hybrid Consistency Training with Prototype Adaptation for Few-Shot | learning | |
| Hybrid Contrastive | learning | for Unsupervised Person Re-Identification |
| Hybrid Contrastive | learning | of Tri-Modal Representation for Multimodal Sentiment Analysis |
| hybrid deep and machine | learning | model for short-term traffic volume forecasting of adjacent intersections, A |
| Hybrid Deep | learning | Algorithm for the License Plate Detection and Recognition in Vehicle-to-Vehicle Communications, A |
| Hybrid deep | learning | and machine learning approach for passive image forensic |
| Hybrid deep | learning | and machine learning approach for passive image forensic |
| Hybrid Deep | learning | and S2S Model for Improved Sub-Seasonal Surface and Root-Zone Soil Moisture Forecasting |
| Hybrid Deep | learning | Based Framework for Component Defect Detection of Moving Trains, A |
| Hybrid Deep | learning | for Face Verification |
| Hybrid deep | learning | for Reflectance Confocal Microscopy skin images |
| Hybrid Deep | learning | Model for Diagnosis of Covid-19 Using Ct Scans and Clinical/Demographic Data |
| Hybrid Deep | learning | Model for the Bias Correction of SST Numerical Forecast Products Using Satellite Data, A |
| Hybrid Deep | learning | Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction, A |
| hybrid Deep | learning | Strategy for an Anomaly Based N-IDS, A |
| Hybrid Deep | learning | -Based Spatiotemporal Fusion Method for Combining Satellite Images with Different Resolutions, A |
| Hybrid deep- | learning | framework for object-based forgery detection in video |
| Hybrid Deep- | learning | -Based Anomaly Detection Scheme for Suspicious Flow Detection in SDN: A Social Multimedia Perspective |
| Hybrid Distance Metric | learning | for Real-Time Pedestrian Detection and Re-identification |
| Hybrid Euclidean-and-Riemannian Metric | learning | for Image Set Classification |
| hybrid feature selection method based on instance | learning | and cooperative subset search, A |
| hybrid feature space from texture information and transfer | learning | for glaucoma classification, An |
| Hybrid Features and Deep | learning | Model for Facial Expression Recognition From Videos |
| hybrid features | learning | model for single image haze prediction, A |
| Hybrid incremental | learning | of new data and new classes for hand-held object recognition |
| Hybrid | learning | of Bayesian multinets for binary classification |
| Hybrid | learning | of large jigsaws |
| hybrid | learning | system for image deblurring, A |
| Hybrid | learning | -Based And HEVC-Based Coding Of Light Fields |
| Hybrid machine | learning | and optimisation method to solve a tri-level road network protection problem |
| Hybrid Machine | learning | Approach for Energy Consumption Prediction in Additive Manufacturing, A |
| Hybrid Machine | learning | Approach for Evapotranspiration Estimation of Fruit Tree in Agricultural Cyber-Physical Systems |
| Hybrid Machine | learning | Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale |
| Hybrid Machine | learning | Model Coupling Double Exponential Smoothing and ELM to Predict Multi-Factor Landslide Displacement, A |
| Hybrid method combining superpixel, supervised | learning | , and random walk for glioma segmentation |
| Hybrid Model Consisting of Supervised and Unsupervised | learning | for Landslide Susceptibility Mapping, A |
| Hybrid Modeling: Fusion of A Deep | learning | Approach and A Physics-based Model for Global Hydrological Modeling |
| Hybrid Models Incorporating Bivariate Statistics and Machine | learning | Methods for Flash Flood Susceptibility Assessment Based on Remote Sensing Datasets |
| Hybrid Motion Representation | learning | for Prediction From Raw Sensor Data |
| Hybrid Nonlinear and Machine | learning | Methods for Analyzing Factors Influencing the Performance of Large-Scale Transport Infrastructure |
| Hybrid of Deep Reinforcement | learning | and Local Search for the Vehicle Routing Problems, A |
| Hybrid Pattern Extraction with Deep | learning | -Based Heart Disease Diagnosis Using Echocardiogram Images |
| Hybrid Privacy-Preserving Deep | learning | Approach for Object Classification in Very High-Resolution Satellite Images, A |
| Hybrid quantum-classical generative adversarial networks for image generation via | learning | discrete distribution |
| Hybrid Recruitment Scheme Based on Deep | learning | in Vehicular Crowdsensing |
| Hybrid Reinforcement | learning | -Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections |
| Hybrid routing transformer for zero-shot | learning | |
| Hybrid SEM Algorithm for High-Dimensional Unsupervised | learning | Using a Finite Generalized Dirichlet Mixture, A |
| Hybrid SFANC-FxNLMS Algorithm for Active Noise Control Based on Deep | learning | , A |
| Hybrid Spectrum Prediction Model Based on Deep | learning | , A |
| Hybrid strategy for traffic light detection by combining classical and self- | learning | detectors |
| Hybrid textual-visual relevance | learning | for content-based image retrieval |
| hybrid training approach for leaf area index estimation via Cubist and random forests machine- | learning | , A |
| hybrid transfer | learning | algorithm incorporating TrSVM with GASEN, A |
| Hybrid Transfer | learning | for Efficient Learning in Object Detection |
| Hybrid Transfer | learning | for Efficient Learning in Object Detection |
| Hybrid Triple Collocation-Deep | learning | Approach for Improving Soil Moisture Estimation from Satellite and Model-Based Data, A |
| Hybrid weighted-stego detection using machine | learning | |
| Hybrid-Attention Based Decoupled Metric | learning | for Zero-Shot Image Retrieval |
| Hybrid-boost | learning | for multi-pose face detection and facial expression recognition |
| Hybrid-NET: A fusion of DenseNet169 and advanced machine | learning | classifiers for enhanced brain tumor diagnosis |
| Hybrid-Sparsity Constrained Dictionary | learning | for Iterative Deblending of Extremely Noisy Simultaneous-Source Data |
| HybridNet: Classification and Reconstruction Cooperation for Semi-supervised | learning | |
| Hyper-class augmented and regularized deep | learning | for fine-grained image classification |
| Hyper-graph-based attention curriculum | learning | using a lexical algorithm for mental health |
| Hyper-LifelongGAN: Scalable Lifelong | learning | for Image Conditioned Generation |
| Hyper-parameter optimization of deep | learning | model for prediction of Parkinson's disease |
| Hyper-sausage coverage function neuron model and | learning | algorithm for image classification |
| Hyper-voxel based deep | learning | for hyperspectral image classification |
| Hyperbolic Audio-visual Zero-shot | learning | |
| Hyperbolic Contrastive | learning | for Visual Representations beyond Objects |
| Hyperbolic Vision Transformers: Combining Improvements in Metric | learning | |
| Hyperbolic Visual Embedding | learning | for Zero-Shot Recognition |
| HyperDepth: | learning | Depth from Structured Light without Matching |
| HyperDet3D: | learning | a Scene-conditioned 3D Object Detector |
| Hypered Deep- | learning | -Based Model of Hyperspectral Images Generation and Classification for Imbalanced Data, A |
| HyperFace: A Deep Multi-Task | learning | Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition |
| Hypergraph Attention Networks for Multimodal | learning | |
| Hypergraph based semi-supervised | learning | for gender classification |
| Hypergraph | learning | with collaborative representation for image search reranking |
| Hypergraph | learning | : Methods and Practices |
| Hypergraph-Induced Semantic Tuplet Loss for Deep Metric | learning | |
| HyperLi-Net: A hyper-light deep | learning | network for high-accurate and high-speed ship detection from synthetic aperture radar imagery |
| HyperMatch: Noise-Tolerant Semi-Supervised | learning | via Relaxed Contrastive Constraint |
| Hyperparameter Optimization for Tracking with Continuous Deep Q- | learning | |
| HyperReenact: One-Shot Reenactment via Jointly | learning | to Refine and Retarget Faces |
| HyperShot: Few-Shot | learning | by Kernel HyperNetworks |
| Hyperspectral and Lidar Data Applied to the Urban Land Cover Machine | learning | and Neural-Network-Based Classification: A Review |
| Hyperspectral Anomaly Detection Using Deep | learning | : A Review |
| Hyperspectral Anomaly Detection via Discriminative Feature | learning | with Multiple-Dictionary Sparse Representation |
| Hyperspectral Change Detection in Wetland and Water-body Areas Based On Machine | learning | |
| Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer | learning | |
| Hyperspectral Classification via Superpixel Kernel | learning | -Based Low Rank Representation |
| Hyperspectral demosaicking and crosstalk correction using deep | learning | |
| Hyperspectral Feature Selection for SOM Prediction Using Deep Reinforcement | learning | and Multiple Subset Evaluation Strategies |
| Hyperspectral image analysis using deep | learning | : A review |
| Hyperspectral Image Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer | learning | |
| Hyperspectral Image Classification Based on a Shuffled Group Convolutional Neural Network with Transfer | learning | |
| Hyperspectral Image Classification Based on Class-Incremental | learning | with Knowledge Distillation |
| Hyperspectral Image Classification Based on Parameter-Optimized 3D-CNNs Combined with Transfer | learning | and Virtual Samples |
| Hyperspectral Image Classification Based on Superpixel Pooling Convolutional Neural Network with Transfer | learning | |
| Hyperspectral Image Classification Based on Two-Phase Relation | learning | Network |
| Hyperspectral Image Classification Promotion Using Clustering Inspired Active | learning | |
| Hyperspectral Image Classification Through Bilayer Graph-Based | learning | |
| Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature | learning | |
| Hyperspectral Image Classification Using Feature Relations Map | learning | |
| Hyperspectral Image Classification via Deep Structure Dictionary | learning | |
| Hyperspectral image classification via shape-adaptive deep | learning | |
| Hyperspectral Image Classification via Spatial Window-Based Multiview Intact Feature | learning | |
| Hyperspectral Image Classification With Convolutional Neural Network and Active | learning | |
| Hyperspectral Image Classification With Deep | learning | Models |
| Hyperspectral Image Classification with Feature-Oriented Adversarial Active | learning | |
| Hyperspectral Image Classification with Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active | learning | |
| Hyperspectral Image Classification with Tensor-Based Rank-R | learning | Models |
| Hyperspectral Image Denoising via Adversarial | learning | |
| Hyperspectral Image Reconstruction Using Deep External and Internal | learning | |
| Hyperspectral Image Segmentation Using a New Bayesian Approach With Active | learning | |
| Hyperspectral image super-resolution based on non-factorization sparse representation and dictionary | learning | |
| Hyperspectral Image Super-Resolution by Band Attention Through Adversarial | learning | |
| Hyperspectral image super-resolution combining with deep | learning | and spectral unmixing |
| Hyperspectral Image Super-Resolution via Adaptive Dictionary | learning | and Double L_1 Constraint |
| Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric Residual | learning | |
| Hyperspectral Imagery Classification Based on Semi-Supervised Broad | learning | System |
| Hyperspectral Imaging Combined with Machine | learning | for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings |
| Hyperspectral Imaging Zero-Shot | learning | for Remote Marine Litter Detection and Classification |
| Hyperspectral Monitoring Driven by Machine | learning | Methods for Grassland Above-Ground Biomass |
| Hyperspectral Reconstruction Using Auxiliary RGB | learning | from a Snapshot Image |
| Hyperspectral Reflectance and Machine | learning | Approaches for the Detection of Drought and Root-Knot Nematode Infestation in Cotton |
| Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine | learning | |
| Hyperspectral remote sensing image change detection based on tensor and deep | learning | |
| Hyperspectral Remote Sensing Image Subpixel Target Detection Based on Supervised Metric | learning | |
| Hyperspectral remote sensing IQA via | learning | multiple kernels from mid-level features |
| Hyperspectral Remote Sensing of Phytoplankton Species Composition Based on Transfer | learning | |
| Hyperspectral Remote Sensing of TiO2 Concentration in Cementitious Material Based on Machine | learning | Approaches |
| Hyperspectral Sea Ice Image Classification Based on the Spectral-Spatial-Joint Feature with Deep | learning | |
| Hyperspectral target detection using manifold | learning | and multiple target spectra |
| Hyperspectral Target Detection via Adaptive Information-Theoretic Metric | learning | with Local Constraints |
| Hyperspectral Target Detection via Adaptive Joint Sparse Representation and Multi-Task | learning | with Locality Information |
| Hyperspectral Video Super-Resolution Using Beta Process and Bayesian Dictionary | learning | |
| Hyperspherical | learning | in Multi-Label Classification |
| I can't believe there's no images!: | learning | Visual Tasks Using Only Language Supervision |
| I don't know the label: Active | learning | with blind knowledge |
| I spy with my little eye: | learning | optimal filters for cross-modal stereo under projected patterns |
| I-ME: iterative model evolution for | learning | from weakly labeled images and videos |
| I2T2I: | learning | text to image synthesis with textual data augmentation |
| I3CL: Intra- and Inter-Instance Collaborative | learning | for Arbitrary-Shaped Scene Text Detection |
| IAM Graph Database Repository for Graph Based Pattern Recognition and Machine | learning | |
| IB-DRR: Incremental | learning | with Information-Back Discrete Representation Replay |
| IBRNet: | learning | Multi-View Image-Based Rendering |
| ICA with Reconstruction Cost for Efficient Overcomplete Feature | learning | |
| iCaRL: Incremental Classifier and Representation | learning | |
| ICC++: Explainable feature | learning | for art history using image compositions |
| ICCL: Self-Supervised Intra- and Cross-Modal Contrastive | learning | with 2D-3D Pairs for 3D Scene Understanding |
| Ice hockey player identification via transformers and weakly supervised | learning | |
| Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine | learning | |
| ICESat-2 Bathymetric Signal Reconstruction Method Based on a Deep | learning | Model with Active-Passive Data Fusion |
| ICICLE: Interpretable Class Incremental Continual | learning | |
| Icing Detection over East Asia from Geostationary Satellite Data Using Machine | learning | Approaches |
| ICL-D3IE: In-Context | learning | with Diverse Demonstrations Updating for Document Information Extraction |
| ICON: | learning | Regular Maps Through Inverse Consistency |
| Id-Free Person Similarity | learning | |
| Identification and Portrait of Urban Functional Zones Based on Multisource Heterogeneous Data and Ensemble | learning | |
| identification based indirect iterative | learning | control via data-driven approach, An |
| Identification of Abandoned Jujube Fields Using Multi-Temporal High-Resolution Imagery and Machine | learning | |
| Identification of Amaranthus Species Using Visible-Near-Infrared (Vis-NIR) Spectroscopy and Machine | learning | Methods |
| Identification of degraded traffic sign symbols by a generative | learning | method |
| Identification of Electromagnetic Pre-Earthquake Perturbations from the DEMETER Data by Machine | learning | |
| Identification of External Defects on Fruits Using Deep | learning | |
| Identification of Forested Landslides Using LiDar Data, Object-based Image Analysis, and Machine | learning | Algorithms |
| Identification of Ground Fissure Development in a Semi-Desert Aeolian Sand Area Induced from Coal Mining: Utilizing UAV Images and Deep | learning | Techniques |
| Identification of Ice Floes and Calculation of Sea Ice Concentration Based on a Deep | learning | Method, The |
| Identification of malnutrition and prediction of BMI from facial images using real-time image processing and machine | learning | |
| Identification of Morphologically Similar Seeds Using Multi-kernel | learning | |
| Identification of Papilionidae Species in Yunnan Province Based on Deep | learning | |
| Identification of plant disease images via a squeeze-and-excitation MobileNet model and twice transfer | learning | |
| Identification of Poverty Areas by Remote Sensing and Machine | learning | : A Case Study in Guizhou, Southwest China |
| Identification of Saimaa Ringed Seal Individuals Using Transfer | learning | |
| Identification of Salt Deposits on Seismic Images Using Deep | learning | Method for Semantic Segmentation |
| Identification of Significative LiDAR Metrics and Comparison of Machine | learning | Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest |
| Identification of Village Building via Google Earth Images and Supervised Machine | learning | Methods |
| Identification of wool and mohair fibres with texture feature extraction and deep | learning | |
| Identify, Estimate and Bound the Uncertainty of Reinforcement | learning | for Autonomous Driving |
| Identifying and | learning | visual attributes for object recognition |
| Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep | learning | |
| Identifying and matching 12-level multistained glomeruli via deep | learning | for diagnosis of glomerular diseases |
| Identifying Bikers Without Helmets Using Deep | learning | Models |
| Identifying Conditioning Factors and Predictors of Conflict Likelihood for Machine | learning | Models: A Literature Review |
| Identifying Diagnostically Complex Cases Through Ensemble | learning | |
| Identifying Dynamic Changes in Water Surface Using Sentinel-1 Data Based on Genetic Algorithm and Machine | learning | Techniques |
| Identifying High Order Brain Connectome Biomarkers via | learning | on Hypergraph |
| Identifying Land-Use Related Potential Disaster Risk Drivers in the Ayeyarwady Delta (Myanmar) during the Last 50 Years (1974-2021) Using a Hybrid Ensemble | learning | Model |
| Identifying Lens Distortions in Image Registration by | learning | from Examples |
| Identifying Mangrove Species Using Field Close-Range Snapshot Hyperspectral Imaging and Machine- | learning | Techniques |
| Identifying Optimal Wavelengths as Disease Signatures Using Hyperspectral Sensor and Machine | learning | |
| Identifying Pine Wood Nematode Disease Using UAV Images and Deep | learning | Algorithms |
| Identifying Spatial Determinants of Rice Yields in Main Producing Areas of China Using Geospatial Machine | learning | |
| Identifying Streetscape Features Using VHR Imagery and Deep | learning | Applications |
| Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine | learning | Algorithms for Agri-Planning |
| Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian | learning | |
| Identifying Thermokarst Lakes Using Discrete Wavelet Transform-based Deep | learning | Framework |
| Identifying Tree-Related Microhabitats in TLS Point Clouds Using Machine | learning | |
| Identifying Urban and Socio-Environmental Patterns of Brazilian Amazonian Cities by Remote Sensing and Machine | learning | |
| Identifying Urban Wetlands through Remote Sensing Scene Classification Using Deep | learning | : A Case Study of Shenzhen, China |
| Identifying Winter Wheat Using Landsat Data Based on Deep | learning | Algorithms in the North China Plain |
| Identifying Wrongly Predicted Samples: A Method for Active | learning | |
| Identity-Aware Facial Expression Recognition Via Deep Metric | learning | Based on Synthesized Images |
| Identity-Guided Collaborative | learning | for Cloth-Changing Person Reidentification |
| Identity-Preserving Face Hallucination via Deep Reinforcement | learning | |
| Identity-Seeking Self-Supervised Representation | learning | for Generalizable Person Re-identification |
| IEEE Workshop on | learning | in Computer Vision and Pattern Recognition |
| IFOSART: a noise resistant neural network capable of incremental | learning | |
| IFSepR: A General Framework for Image Fusion Based on Separate Representation | learning | |
| IG-RL: Inductive Graph Reinforcement | learning | for Massive-Scale Traffic Signal Control |
| IIANet: Information Interactivity Attention Network with adversarial | learning | for infrared small object detection |
| IL-GAN: Illumination-invariant representation | learning | for single sample face recognition |
| IL2M: Class Incremental | learning | With Dual Memory |
| iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep | learning | |
| ILCOC: An Incremental | learning | Framework based on Contrastive One-class Classifiers |
| Illumination and Person-Insensitive Head Pose Estimation Using Distance Metric | learning | |
| Illumination Invariance Adaptive Sidewalk Detection Based on Unsupervised Feature | learning | |
| Illumination | learning | from a single image with unknown shape and texture |
| ILMICA - Interactive | learning | Model of Image Collage Assessment: A Transfer Learning Approach for Aesthetic Principles |
| ILMICA - Interactive | learning | Model of Image Collage Assessment: A Transfer Learning Approach for Aesthetic Principles |
| Im2Hands: | learning | Attentive Implicit Representation of Interacting Two-Hand Shapes |
| Image Alignment Using | learning | Prior Appearance Model |
| Image Analysis and Machine | learning | : How to Foster a Stronger Connection? |
| Image and Sentence Matching via Semantic Concepts and Order | learning | |
| Image and video mining through online | learning | |
| Image Annotation by Latent Community Detection and Multikernel | learning | |
| Image Annotation by | learning | Label-Specific Distance Metrics |
| Image Annotation by Multiple-Instance | learning | With Discriminative Feature Mapping and Selection |
| Image annotation by semi-supervised cross-domain | learning | with group sparsity |
| Image Annotation Using Metric | learning | in Semantic Neighbourhoods |
| Image annotation via graph | learning | |
| Image annotation via | learning | the image-label interrelations |
| Image anomaly detection for IoT equipment based on deep | learning | |
| Image Augmentations in Planetary Science: Implications in Self-Supervised | learning | and Weakly-Supervised Segmentation on Mars |
| Image Based Facial Micro-Expression Recognition Using Deep | learning | on Small Datasets |
| Image Captioning using Adversarial Networks and Reinforcement | learning | |
| Image Captioning with Reinforcement | learning | |
| Image categorization by | learning | with context and consistency |
| Image Categorization with Semi-Supervised | learning | |
| Image Change Captioning by | learning | from an Auxiliary Task |
| Image Classification and Indexing by EM Based Multiple-Instance | learning | |
| Image Classification by Cross-Media Active | learning | with Privileged Information |
| Image classification by multimodal subspace | learning | |
| Image Classification by Selective Regularized Subspace | learning | |
| Image Classification from Small Sample, with Distance | learning | and Feature Selection |
| Image classification toward lung cancer recognition by | learning | deep quality model |
| Image classification towards transmission line fault detection via | learning | deep quality-aware fine-grained categorization |
| Image Classification Using Convolutional Neural Networks and Kernel Extreme | learning | Machines |
| Image Classification Using Generative Neuro Evolution for Deep | learning | |
| Image classification using HTM cortical | learning | algorithms |
| Image classification using RBM to encode local descriptors with group sparse | learning | |
| Image Classification With Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel | learning | |
| Image classifier | learning | from noisy labels via generalized graph smoothness priors |
| Image Coding for Machines with Omnipotent Feature | learning | |
| Image Coding Via Perceptually Inspired Graph | learning | |
| Image collection summarization via dictionary | learning | for sparse representation |
| Image colourisation using graph-based semi-supervised | learning | |
| Image Compression Based on Fuzzy Algorithms for | learning | Vector Quantization and Wavelet Image Decomposition |
| Image Compression by | learning | to Minimize the Total Error |
| Image Compression Framework with | learning | -based Filter, An |
| Image compression with on-line and off-line | learning | |
| Image Cosegmentation via Multi-task | learning | |
| Image data augmentation for improving performance of deep | learning | -based model in pathological lung segmentation |
| Image database categorization using robust unsupervised | learning | of finite generalized dirichlet mixture models |
| Image Deblurring with Coupled Dictionary | learning | |
| Image decomposition via | learning | the morphological diversity |
| Image Deformation Meta-Networks for One-Shot | learning | |
| Image denoising via 2D dictionary | learning | and adaptive hard thresholding |
| Image Denoising via Sequential Ensemble | learning | |
| Image Denoising: The Deep | learning | Revolution and Beyond: A Survey Paper |
| Image description through fusion based recurrent multi-modal | learning | |
| Image distance functions for manifold | learning | |
| Image distance metric | learning | based on neighborhood sets for automatic image annotation |
| Image downscaling via co-occurrence | learning | |
| Image Enhanced Rotation Prediction for Self-Supervised | learning | |
| image enhancement algorithm of video surveillance scene based on deep | learning | , An |
| Image enhancement by wavelet-based thresholding neural network with adaptive | learning | rate |
| Image enhancement for outdoor long-range surveillance using IQ- | learning | multiscale Retinex |
| Image feature | learning | combined with attention-based spectral representation for spatio-temporal photovoltaic power prediction |
| Image Guided Inpainting with Parameter Efficient | learning | |
| Image Hashing via Linear Discriminant | learning | |
| Image haze removal based on rolling deep | learning | and Retinex theory |
| Image Inpainting with External-internal | learning | and Monochromic Bottleneck |
| Image labeling via incremental model | learning | |
| Image Noise Reduction via Geometric Multiscale Ridgelet Support Vector Transform and Dictionary | learning | |
| Image patch prior | learning | based on random neighbourhood resampling for image denoising |
| Image Patch-Matching With Graph-Based | learning | in Street Scenes |
| Image Pattern Similarity Index and Its Application to Task-Specific Transfer | learning | |
| Image Piece | learning | for Weakly Supervised Semantic Segmentation |
| Image preprocessing-based ensemble deep | learning | classification of diabetic retinopathy |
| Image processing and machine | learning | -based bone fracture detection and classification using X-ray images |
| Image quality assessment based on deep | learning | with FPGA implementation |
| Image quality assessment based on self-supervised | learning | and knowledge distillation |
| Image Quality Assessment Using Contrastive | learning | |
| Image Quality Assessment using Semi-Supervised Representation | learning | |
| Image Quality Measurement Using Sparse Extreme | learning | Machine Classifier |
| Image quality recognition technology based on deep | learning | |
| Image Reassembly Combining Deep | learning | and Shortest Path Problem |
| Image Reconstruction in Electrical Impedance Tomography Based on Structure-Aware Sparse Bayesian | learning | |
| Image Reconstruction is a New Frontier of Machine | learning | |
| Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine | learning | |
| Image Recovery and Segmentation Using Competitive | learning | in a Layered Network |
| Image Recovery via Transform | learning | and Low-Rank Modeling: The Power of Complementary Regularizers |
| Image region re-weighting via multiple instance | learning | |
| Image Representation and | learning | With Graph-Laplacian Tucker Tensor Decomposition |
| Image Representation | learning | by Deep Appearance and Spatial Coding |
| Image Representation | learning | by Transformation Regression |
| Image Representations for Visual | learning | |
| Image restoration via Bayesian dictionary | learning | with nonlocal structured beta process |
| Image restoration via efficient Gaussian mixture model | learning | |
| Image restoration with group sparse representation and low-rank group residual | learning | |
| Image retrieval based on incremental subspace | learning | |
| Image Retrieval Based on | learning | to Rank and Multiple Loss |
| Image Retrieval Based on Similarity | learning | |
| Image Retrieval Over Networks: Active | learning | Using Ant Algorithm |
| Image Retrieval System Based on Machine | learning | and Using Color Features |
| Image Retrieval using Long-Term Semantic | learning | |
| Image Retrieval Using Transaction-Based and SVM-Based | learning | in Relevance Feedback Sessions |
| Image Retrieval with Relevance Feedback: From Heuristic Weight Adjustment to Optimal | learning | Methods |
| Image retrieval with SVM active | learning | embedding Euclidean search |
| Image saliency prediction by | learning | deep probability model |
| Image Search With Text Feedback by Visiolinguistic Attention | learning | |
| Image Searching and Browsing by Active Aspect-Based Relevance | learning | |
| Image segmentation algorithms based on the machine | learning | of features |
| Image segmentation based on ultimate levelings: From attribute filters to machine | learning | strategies |
| Image Segmentation by Deep | learning | of Disjunctive Normal Shape Model Shape Representation |
| Image segmentation by | learning | approach |
| Image segmentation fusion using weakly supervised trace-norm multi-task | learning | method |
| Image Segmentation of Bricks in Masonry Wall Using a Fusion of Machine | learning | Algorithms |
| Image segmentation through combined methods: Watershed transform, unsupervised distance | learning | and Normalized Cut |
| Image Segmentation Using Automatic Seeded Region Growing and Instance-Based | learning | |
| Image Segmentation Using Deep | learning | : A Survey |
| Image Segmentation Using Dictionary | learning | and Compressed Random Features |
| Image segmentation with the competitive | learning | based MS model |
| Image Set Based Face Recognition Using Self-Regularized Non-Negative Coding and Adaptive Distance Metric | learning | |
| Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric | learning | |
| Image Splicing Detection Through Illumination Inconsistencies and Deep | learning | |
| Image Structure Subspace | learning | Using Structural Similarity Index |
| Image super-resolution based on dictionary | learning | and anchored neighborhood regression with mutual incoherence |
| Image super-resolution based on the pairwise dictionary selected | learning | and improved bilateral regularisation |
| Image super-resolution by extreme | learning | machine |
| Image super-resolution reconstruction based on sparse representation and deep | learning | |
| Image super-resolution via 2D tensor regression | learning | |
| Image super-resolution via adaptive sparse representation and self- | learning | |
| Image Super-Resolution Via Double Sparsity Regularized Manifold | learning | |
| Image Super-Resolution via Local Self- | learning | Manifold Approximation |
| Image Super-Resolution With Parametric Sparse Model | learning | |
| Image Super-Resolution With Self-Similarity Prior Guided Network and Sample-Discriminating | learning | |
| Image Super-Resolution: Use of Self- | learning | and Gabor Prior |
| Image Synthesis Based on Manifold | learning | |
| Image to Image Deep | learning | for Enhanced Vegetation Height Modeling in Texas |
| Image Transformation Based on | learning | Dictionaries across Image Spaces |
| Image Understanding Research at UC Riverside: Integrated Recognition, | learning | and Image Databases |
| Image understanding via | learning | weakly-supervised cross-modal semantic translation |
| Image Understanding With Reinforcement | learning | : Auto-Tuning Image Attributes and Model Parameters for Object Detection and Segmentation |
| Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association | learning | |
| Image visual attention computation and application via the | learning | of object attributes |
| Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep | learning | Era |
| Image-Based Classification of Double-Barred Beach States Using a Convolutional Neural Network and Transfer | learning | |
| Image-based deep | learning | automated grading of date fruit (Alhasa case study Saudi Arabia) |
| Image-Based Human Age Estimation by Manifold | learning | and Locally Adjusted Robust Regression |
| Image-Based | learning | to Measure Traffic Density Using a Deep Convolutional Neural Network |
| Image-Derived Geometric Characteristics Predict Abdominal Aortic Aneurysm Growth in a Machine | learning | Model |
| Image-set face recognition based on transductive | learning | |
| Image-Text Embedding | learning | via Visual and Textual Semantic Reasoning |
| Image-to-Class Distance Metric | learning | for Image Classification |
| Image-to-Image Subpixel Registration Based on Template Matching of Road Network Extracted by Deep | learning | |
| Image-to-video person re-identification using three-dimensional semantic appearance alignment and cross-modal interactive | learning | |
| Image-to-Video Person Re-Identification With Temporally Memorized Similarity | learning | |
| Image2Mesh: A | learning | Framework for Single Image 3D Reconstruction |
| ImageNet-Patch: A dataset for benchmarking machine | learning | robustness against adversarial patches |
| Images Speak in Images: A Generalist Painter for In-Context Visual | learning | |
| Imagination-Augmented Reinforcement | learning | Framework for Variable Speed Limit Control |
| Imaging With Equivariant Deep | learning | : From unrolled network design to fully unsupervised learning |
| Imaging With Equivariant Deep | learning | : From unrolled network design to fully unsupervised learning |
| Imbalance Robust Softmax for Deep Embeeding | learning | |
| Imbalanced Continual | learning | with Partitioning Reservoir Sampling |
| Imbalanced Deep | learning | by Minority Class Incremental Rectification |
| Imbalanced | learning | in Land Cover Classification: Improving Minority Classes' Prediction Accuracy Using the Geometric SMOTE Algorithm |
| Imbalanced Malware Family Classification Using Multimodal Fusion and Weight Self- | learning | |
| IMC-NET: | learning | Implicit Field with Corner Attention Network for 3D Shape Reconstruction |
| Imclass: A User-tailored Machine | learning | Image Classification Chain For Change Detection Or Landcover Mapping |
| IMG2nDSM: Height Estimation from Single Airborne RGB Images with Deep | learning | |
| Imitation | learning | as State Matching via Differentiable Physics |
| Imitation | learning | for Autonomous Vehicle Driving: How Does the Representation Matter? |
| Imitation | learning | for Human Pose Prediction |
| Imitation | learning | of Path-Planned Driving Using Disparity-Depth Images |
| Imitation | learning | -Enhanced Iterated Matching Algorithm for On-Demand Food Delivery, An |
| ImmerTai: Immersive Motion | learning | in VR Environments |
| Impact of Adversarial Attacks on Federated | learning | : A Survey, The |
| Impact of Augmented Reality on Art Engagement: Liking, Impression of | learning | , and Distraction, The |
| Impact of Automatic Feature Extraction in Deep | learning | Architecture |
| Impact of Deep | learning | and Smartphone Technologies in Dermatology: Automated Diagnosis |
| Impact of Dynamic Model | learning | on Classification of Human Motion |
| Impact of Enhancement for Coronary Artery Segmentation Based on Deep | learning | Neural Network |
| Impact of Human-Robot Interface Design on the Use of a | learning | Robot System, The |
| Impact of Pan-Sharpening and Spectral Resolution on Vineyard Segmentation through Machine | learning | , The |
| Impact of Reliability Evaluation on a Semi-supervised | learning | Approach, The |
| Impact of Satellite-Derived Land Cover Resolution Using Machine | learning | and Hydrological Simulations |
| Impact of Training Set Configurations for Differentiating Plantation Forest Genera with Sentinel-2 Imagery and Machine | learning | |
| Impact of Ultrasound Image Reconstruction Method on Breast Lesion Classification with Deep | learning | |
| Impact of Various Atmospheric Corrections on Sentinel-2 Land Cover Classification Accuracy Using Machine | learning | Classifiers |
| Impedance Variation and | learning | Strategies in Human-Robot Interaction |
| Impedance-Optical Dual-Modal Cell Culture Imaging With | learning | -Based Information Fusion |
| Implementation of 3D Tools and Immersive Experience Interaction for Supporting | learning | in a Library-Archive Environment. Visions and Challenges |
| Implementing Sentinel-2 Data and Machine | learning | to Detect Plant Stress in Olive Groves |
| Implementing transfer | learning | across different datasets for time series forecasting |
| Implicit 3D Orientation | learning | for 6D Object Detection from RGB Images |
| Implicit Attention-Based Cross-Modal Collaborative | learning | for Action Recognition |
| Implicit Autoencoder for Point-Cloud Self-Supervised Representation | learning | |
| Implicit Boundary | learning | for Connectomics |
| Implicit Shape Biased Few-Shot | learning | for 3D Object Generalization |
| Implicit Shape Kernel for Discriminative | learning | of the Hough Transform Detector |
| ImplicitAtlas: | learning | Deformable Shape Templates in Medical Imaging |
| Implied Feedback: | learning | Nuances of User Behavior in Image Search |
| Importance of recommendation system in modern forms of | learning | |
| importance sampling approach to | learning | structural representations of shape, An |
| Importance sampling based discriminative | learning | for large scale offline handwritten Chinese character recognition |
| Importance Weighted Structure | learning | for Scene Graph Generation |
| Importance-Aware Information Bottleneck | learning | Paradigm for Lip Reading |
| Importance-weighted label prediction for active | learning | with noisy annotations |
| Imposing Semantic Consistency of Local Descriptors for Few-Shot | learning | |
| Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity | learning | |
| Improve Person Re-Identification With Part Awareness | learning | |
| Improve the Performance of Transfer | learning | Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images |
| Improve the Performance of Transfer | learning | Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images |
| Improve Unsupervised Deep Hashing Via Masked Contrastive | learning | |
| Improved 2D-to-3D video conversion by fusing optical flow analysis and scene depth | learning | |
| Improved Accuracy of Phenological Detection in Rice Breeding by Using Ensemble Models of Machine | learning | Based on UAV-RGB Imagery |
| Improved Active Deep | learning | for Semi-Supervised Classification of Hyperspectral Image |
| Improved AdaBoost-Based Image Retrieval with Relevance Feedback via Paired Feature | learning | |
| Improved appearance updating method in multiple instance | learning | tracking |
| Improved Attributed Scattering Model Optimized by Incremental Sparse Bayesian | learning | , An |
| Improved Auto-Calibration Algorithm Based on Sparse Bayesian | learning | Framework, An |
| Improved Backpropagation Neural Network | learning | , An |
| Improved Bayesian Combination Model for Short-Term Traffic Prediction With Deep | learning | , An |
| improved Bayesian structural EM algorithm for | learning | Bayesian networks for clustering, An |
| Improved Boosting | learning | Saliency Method for Built-Up Areas Extraction in Sentinel-2 Images, An |
| Improved Classification Models to Distinguish Natural from Anthropic Oil Slicks in the Gulf of Mexico: Seasonality and Radarsat-2 Beam Mode Effects under a Machine | learning | Approach |
| Improved Continually Evolved Classifiers for Few-Shot Class-Incremental | learning | |
| Improved curriculum | learning | using SSM for facial expression recognition |
| Improved Deep Classwise Hashing With Centers Similarity | learning | for Image Retrieval |
| improved deep | learning | architecture for person re-identification, An |
| Improved Deep | learning | of Object Category Using Pose Information |
| Improved deep | learning | -based macromolecules structure classification from electron cryo-tomograms |
| Improved Dictionary | learning | with Enriched Information for Biomedical Images |
| Improved domain adaptive object detector via adversarial feature | learning | |
| Improved Efficiency on Adaptive Arithmetic Coding for Data Compression Using Range-Adjusting Scheme, Increasingly Adjusting Step, and Mutual- | learning | Scheme |
| improved entropy-based multiple kernel | learning | , An |
| Improved Estimations of Nitrate and Sediment Concentrations Based on SWAT Simulations and Annual Updated Land Cover Products from a Deep | learning | Classification Algorithm |
| Improved Extreme | learning | Machine with Parallelized Feature Mapping Structures, An |
| Improved Generalization in Semi-Supervised | learning | : A Survey of Theoretical Results |
| Improved graph cut segmentation by | learning | a contrast model on the fly |
| Improved Gravity Inversion Method Based on Deep | learning | with Physical Constraint and Its Application to the Airborne Gravity Data in East Antarctica |
| Improved hybrid layered image compression using deep | learning | and traditional codecs |
| Improved hyperspectral image classification by active | learning | using pre-designed mixed pixels |
| Improved Infrared and Visible Image Fusion Using an Adaptive Contrast Enhancement Method and Deep | learning | Network with Transfer Learning, An |
| Improved Infrared and Visible Image Fusion Using an Adaptive Contrast Enhancement Method and Deep | learning | Network with Transfer Learning, An |
| Improved Inter-Intra Contrastive | learning | Framework on Self-Supervised Video Representation, An |
| Improved iSAM Based on Flexible Re-Linearization Threshold and Error | learning | Model for AUV in Large Scale Areas |
| Improved | learning | Framework for Covariant Local Feature Detection, An |
| Improved | learning | in Convolutional Neural Networks with Shifted Exponential Linear Units (ShELUs) |
| Improved | learning | of I2C distance and accelerating the neighborhood search for image classification |
| Improved | learning | Rule for LVQ Based on Granular Computing |
| improved | learning | scheme for the moving window classifier, An |
| Improved Lithological Map of Large Complex Semi-Arid Regions Using Spectral and Textural Datasets within Google Earth Engine and Fused Machine | learning | Multi-Classifiers |
| improved local descriptor and threshold | learning | for unsupervised dynamic texture segmentation, An |
| improved local tangent space alignment method for manifold | learning | , An |
| Improved Low-Bitrate HEVC Video Coding Using Deep | learning | Based Super-Resolution and Adaptive Block Patching |
| Improved machine | learning | for image category recognition by local color constancy |
| improved machine | learning | technique based on downsized KPCA for Alzheimer's disease classification, An |
| improved method for single image super-resolution based on deep | learning | , An |
| Improved Method of Image Recognition with Deep | learning | Combined with Attention Mechanism, An |
| Improved Method to Detect the Tailings Ponds from Multispectral Remote Sensing Images Based on Faster R-CNN and Transfer | learning | |
| improved multi-branch residual network based on random multiplier and adaptive cosine | learning | rate method, An |
| improved multi-criteria-based feature selection approach for detection of coronary artery disease in machine | learning | paradigm, An |
| Improved multiple sclerosis diagnosis with advanced deep | learning | techniques |
| Improved N-division output coding for multiclass | learning | problems |
| improved noise loss correction algorithm for | learning | from noisy labels, An |
| Improved prototypical network for active few-shot | learning | |
| Improved prototypical networks for few-Shot | learning | |
| Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine- | learning | paradigm |
| Improved Real-Time Object Tracking Algorithm Based on Deep | learning | Features, An |
| Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine | learning | over East Asia |
| Improved Road Connectivity by Joint | learning | of Orientation and Segmentation |
| Improved S-AF and S-DF Relaying Schemes Using Machine | learning | Based Power Allocation Over Cascaded Rayleigh Fading Channels |
| Improved self-paced | learning | framework for nonnegative matrix factorization |
| Improved Situation Awareness for Autonomous Taxiing Through Self- | learning | |
| improved skin lesion detection solution using multi-step preprocessing features and NASNet transfer | learning | model, An |
| Improved Spectral Detection of Nitrogen Deficiency and Yellow Mosaic Disease Stresses in Wheat Using a Soil Effect Removal Algorithm and Machine | learning | |
| Improved Stereo Matching with Constant Highway Networks and Reflective Confidence | learning | |
| Improved Strategies for HPE Employing | learning | -by-Synthesis Approaches |
| Improved Super-Resolution with Manifold | learning | and Histogram Matching, An |
| Improved Supervised | learning | -Based Approach for Leaf and Wood Classification From LiDAR Point Clouds of Forests |
| Improved Support Vector Machines with Distance Metric | learning | |
| Improved U-STFM: A Deep | learning | -Based Nonlinear Spatial-Temporal Fusion Model for Land Surface Temperature Downscaling, The |
| Improvement of bidirectional recurrent neural network for | learning | long-term dependencies |
| Improvement of Differential-GNSS Positioning by Estimating Code Double-Difference-Error Using Machine | learning | |
| Improvement of Oracle Bone Inscription Recognition Accuracy: A Deep | learning | Perspective |
| Improvement of Typhoon Intensity Forecasting by Using a Novel Spatio-Temporal Deep | learning | Model |
| improvement on | learning | with local and global consistency, An |
| Improvement on | learning | -based super-resolution by adopting residual information and patch reliability |
| Improvements to Context Based Self-Supervised | learning | |
| Improving 3-m Resolution Land Cover Mapping through Efficient | learning | from an Imperfect 10-m Resolution Map |
| Improving a deep | learning | based RGB-D object recognition model by ensemble learning |
| Improving a deep | learning | based RGB-D object recognition model by ensemble learning |
| Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine | learning | : A Case Study of the Hyrcanian Forest Area (Iran) |
| Improving Accuracy of Herbage Yield Predictions in Perennial Ryegrass with UAV-Based Structural and Spectral Data Fusion and Machine | learning | |
| Improving adversarial robustness by | learning | shared information |
| Improving Ancient Cham Glyph Recognition from Cham Inscription Images Using Data Augmentation and Transfer | learning | |
| Improving Augmentation Consistency for Graph Contrastive | learning | |
| Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer | learning | |
| Improving Automatic Target Recognition in Low Data Regime using Semi-Supervised | learning | and Generative Data Augmentation |
| Improving Backpropagation | learning | Under Limited Precision |
| Improving Bayesian Network parameter | learning | using constraints |
| Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine | learning | Techniques |
| Improving Buoy Detection with Deep Transfer | learning | for Mussel Farm Automation |
| Improving classification with semi-supervised and fine-grained | learning | |
| Improving Compression Artifact Reduction via End-to-End | learning | of Side Information |
| Improving Contrastive | learning | by Visualizing Feature Transformation |
| Improving Contrastive | learning | on Visually Homogeneous Mars Rover Images |
| Improving Convergence of Restricted Boltzmann Machines via a | learning | Adaptive Step Size |
| Improving Cost | learning | for JPEG Steganography by Exploiting JPEG Domain Knowledge |
| Improving Cross-Domain Detection with Self-Supervised | learning | |
| Improving Cross-Modal Image-Text Retrieval With Teacher-Student | learning | |
| Improving Cross-Resolution Face Matching Using Ensemble-Based Co-Transfer | learning | |
| Improving cross-validation based classifier selection using meta- | learning | |
| Improving Dataset Volumes and Model Accuracy With Semi-Supervised Iterative Self- | learning | |
| Improving deep convolutional neural networks with unsupervised feature | learning | |
| Improving Deep | learning | Based Semantic Segmentation with Multi View Outlier Correction |
| Improving Deep | learning | on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics |
| Improving deep | learning | on point cloud by maximizing mutual information across layers |
| Improving Deep | learning | -based Automatic Checkout System Using Image Enhancement Techniques |
| Improving Deep Metric | learning | by Divide and Conquer |
| Improving Deep Metric | learning | with Virtual Classes and Examples Mining |
| Improving Dictionary | learning | : Multiple Dictionary Updates and Coefficient Reuse |
| Improving discrimination ability of convolutional neural networks by hybrid | learning | |
| Improving Disentangled Representation | learning | for Gait Recognition Using Group Supervision |
| Improving Diversity of Image Captioning Through Variational Autoencoders and Adversarial | learning | |
| Improving Document Retrieval by Automatic Query Expansion Using Collaborative | learning | of Term-Based Concepts |
| Improving Domain-Adaptive Person Re-Identification by Dual-Alignment | learning | With Camera-Aware Image Generation |
| Improving Dynamic | learning | Vector Quantization |
| Improving Embedding Generalization in Few-Shot | learning | With Instance Neighbor Constraints |
| Improving face representation | learning | with center invariant loss |
| Improving Feature | learning | in Remote Sensing Images Using an Integrated Deep Multi-Scale 3D/2D Convolutional Network |
| Improving Few-shot | learning | by Spatially-aware Matching and Crosstransformer |
| Improving Few-Shot | learning | Through Multi-task Representation Learning Theory |
| Improving Few-Shot | learning | Through Multi-task Representation Learning Theory |
| Improving Few-Shot | learning | using Composite Rotation based Auxiliary Task |
| Improving Fuzzy C-Means Clustering Based on Feature-Weight | learning | |
| Improving Generalization by | learning | Geometry-Dependent and Physics-Based Reconstruction of Image Sequences |
| Improving Generalization in Federated | learning | by Seeking Flat Minima |
| Improving Generalization in Visual Reinforcement | learning | via Conflict-aware Gradient Agreement Augmentation |
| Improving Generalization of Meta- | learning | with Inverted Regularization at Inner-Level |
| Improving Generalization of Reinforcement | learning | Using a Bilinear Policy Network |
| Improving generalized zero-shot | learning | via cluster-based semantic disentangling representation |
| Improving Historical Data Discovery in Weather Radar Image Data Sets Using Transfer | learning | |
| Improving Hourly Precipitation Estimates for Flash Flood Modeling in Data-Scarce Andean-Amazon Basins: An Integrative Framework Based on Machine | learning | and Multiple Remotely Sensed Data |
| Improving Image Categorization by Using Multiple Instance | learning | with Spatial Relation |
| Improving image classifiers for small datasets by | learning | rate adaptations |
| Improving image clustering: An unsupervised feature weight | learning | framework |
| Improving Image Quality In Low-Field MRI With Deep | learning | |
| Improving image similarity measures for image browsing and retrieval through latent space | learning | between images and long texts |
| Improving Image-based Localization with Deep | learning | : The Impact of the Loss Function |
| Improving In-field Cassava Whitefly Pest Surveillance with Machine | learning | |
| Improving IQA Performance Based on Deep Mutual | learning | |
| Improving Landmark Localization with Semi-Supervised | learning | |
| Improving Leaf Area Index Retrieval Using Multi-Sensor Images and Stacking | learning | in Subtropical Forests of China |
| Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial | learning | |
| Improving local | learning | for object categorization by exploring the effects of ranking |
| Improving LULC Classification From Satellite Imagery Using Deep | learning | - Eurosat Dataset |
| Improving lung region segmentation accuracy in chest X-ray images using a two-model deep | learning | ensemble approach |
| Improving Machine | learning | Classifications of Phragmites australis Using Object-Based Image Analysis |
| Improving metric-based few-shot | learning | with dynamically scaled softmax loss |
| Improving mixture of experts for view-independent face recognition using teacher-directed | learning | |
| Improving Mixture of Gaussians background model through adaptive | learning | and Spatio-Temporal voting |
| Improving Model Adaptation for Semantic Segmentation by | learning | Model-Invariant Features with Multiple Source-Domain Models |
| Improving Mountain Snow and Land Cover Mapping Using Very-High-Resolution (VHR) Optical Satellite Images and Random Forest Machine | learning | Models |
| Improving Multi-fidelity Optimization with a Recurring | learning | Rate for Hyperparameter Tuning |
| Improving Multi-label | learning | with Missing Labels by Structured Semantic Correlations |
| Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal | learning | |
| Improving Nearest Neighbor Based Multi-target Prediction Through Metric | learning | |
| Improving Optimum-Path Forest Classification Using Unsupervised Manifold | learning | |
| Improving Parcel-Level Mapping of Smallholder Crops from VHSR Imagery: An Ensemble Machine- | learning | -Based Framework |
| Improving Parkinson's disease recognition through voice analysis using deep | learning | |
| Improving patch-based synthesis by | learning | patch masks |
| Improving Performance of Similarity-Based Clustering by Feature Weight | learning | |
| Improving Pest Detection via Transfer | learning | |
| Improving PGF retrieval effectiveness with active | learning | |
| Improving Pixel-Level Contrastive | learning | by Leveraging Exogenous Depth Information |
| Improving Point Cloud Semantic Segmentation by | learning | 3D Object Detection |
| Improving Potato Yield Prediction by Combining Cultivar Information and UAV Remote Sensing Data Using Machine | learning | |
| Improving Predicate Representation in Scene Graph Generation by Self-Supervised | learning | |
| Improving relational aggregated search from big data sources using deep | learning | |
| Improving relevant subjective testing for validation: Comparing machine | learning | algorithms for finding similarities in VQA datasets using objective measures |
| Improving Replay Sample Selection and Storage for Less Forgetting in Continual | learning | |
| Improving Representation | learning | for Histopathologic Images with Cluster Constraints |
| Improving Representation of the Positive Class in Imbalanced Multiple-Instance | learning | |
| Improving retrieval of plane geometry figure with | learning | to rank |
| Improving RGB-D Point Cloud Registration by | learning | Multi-scale Local Linear Transformation |
| Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative | learning | for Deep Inpainting Operations |
| Improving Robotic Grasping on Monocular Images Via Multi-Task | learning | and Positional Loss |
| Improving Robustness of Deep | learning | Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation |
| Improving Rooftop Detection with Interactive Visual | learning | |
| Improving Selective Visual Question Answering by | learning | from Your Peers |
| Improving Self-Supervised | learning | for Out-Of-Distribution Task via Auxiliary Classifier |
| Improving Self-supervised | learning | with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology |
| Improving Self-supervised | learning | with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology |
| Improving Self-supervised Lightweight Model | learning | via Hard-Aware Metric Distillation |
| Improving Semantic Embedding Consistency by Metric | learning | for Zero-Shot Classiffication |
| Improving semi-supervised | learning | through optimum connectivity |
| Improving Shape Retrieval by | learning | Graph Transduction |
| Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task | learning | |
| Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information | learning | Framework |
| Improving Spatial Agreement in Machine | learning | -Based Landslide Susceptibility Mapping |
| Improving Spatial Disaggregation of Crop Yield by Incorporating Machine | learning | with Multisource Data: A Case Study of Chinese Maize Yield |
| Improving Spatiotemporal Self-supervision by Deep Reinforcement | learning | |
| Improving Speaker Turn Embedding by Crossmodal Transfer | learning | from Face Embedding |
| Improving State Based Analysis for | learning | from Observation |
| Improving Stereovision Matching through Supervised | learning | |
| Improving Student | learning | Satisfaction by Using an Innovative DASH-Based Multiple Sensorial Media Delivery Solution |
| Improving Super Resolution Methods Via Incremental Residual | learning | |
| Improving Tagging Quality via | learning | Dissimilarity Measure in Non-Euclidean Spaces |
| Improving Tail-Class Representation with Centroid Contrastive | learning | |
| Improving Text-image Matching with Adversarial | learning | and Circle Loss for Multi-modal Steganography |
| Improving the accuracy and low-light performance of contrast-based autofocus using supervised machine | learning | |
| Improving the Accuracy of Flood Susceptibility Prediction by Combining Machine | learning | Models and the Expanded Flood Inventory Data |
| Improving the Accuracy of Landslide Detection in Off-site Area by Machine | learning | Model Portability Comparison: A Case Study of Jiuzhaigou Earthquake, China |
| Improving the Completion of Weather Radar Missing Data with Deep | learning | |
| Improving the Estimation of Gross Primary Productivity across Global Biomes by Modeling Light Use Efficiency through Machine | learning | |
| Improving the Estimation of Weighted Mean Temperature in China Using Machine | learning | Methods |
| Improving the Forecasting of Winter Wheat Yields in Northern China with Machine | learning | -Dynamical Hybrid Subseasonal-to-Seasonal Ensemble Prediction |
| Improving the Generalization Ability of Deepfake Detection via Disentangled Representation | learning | |
| Improving the matching of deformable objects by | learning | to detect keypoints |
| Improving the Performance of Deep | learning | Based Speech Enhancement System Using Fuzzy Restricted Boltzmann Machine |
| Improving the performance of pedestrian detectors using convolutional | learning | |
| Improving the reliability of 3D people tracking system by means of deep- | learning | |
| Improving the Reliability of Mixture Tuned Matched Filtering Remote Sensing Classification Results Using Supervised | learning | Algorithms and Cross-Validation |
| Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine | learning | Models and Rescanning Covariate Space |
| Improving the Spatial Resolution of GRACE-Derived Terrestrial Water Storage Changes in Small Areas Using the Machine | learning | Spatial Downscaling Method |
| Improving the Spatial Resolution of Landsat TM/ETM+ Through Fusion With SPOT5 Images via | learning | -Based Super-Resolution |
| Improving the Transferability of Deep | learning | Models for Crop Yield Prediction: A Partial Domain Adaptation Approach |
| Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine | learning | |
| Improving Unsupervised Image Clustering With Robust | learning | |
| Improving Video Model Transfer with Dynamic Representation | learning | |
| Improving Video Temporal Consistency via Broad | learning | System |
| Improving Visual Representation | learning | Through Perceptual Understanding |
| Improving visual-semantic embeddings by | learning | semantically-enhanced hard negatives for cross-modal information retrieval |
| In Defense of LSTMS for Addressing Multiple Instance | learning | Problems |
| In Defense of the | learning | Without Forgetting for Task Incremental Learning |
| In Defense of the | learning | Without Forgetting for Task Incremental Learning |
| In Defense of the Triplet Loss Again: | learning | Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation |
| In Search of Life: | learning | from Synthetic Data to Detect Vital Signs in Videos |
| In the Eye of Beholder: Joint | learning | of Gaze and Actions in First Person Video |
| In-classroom | learning | analytics based on student behavior, topic and teaching characteristic mining |
| In-sample Contrastive | learning | and Consistent Attention for Weakly Supervised Object Localization |
| Inadequate dataset | learning | for major depressive disorder MRI semantic classification |
| Incentive Mechanism of Incorporating Supervision Game for Federated | learning | in Autonomous Driving, An |
| Inception-based Deep | learning | Architecture for Tuberculosis Screening using Chest X-rays |
| Incidence of the Sample Size Distribution on One-Shot Federated | learning | |
| Incident Detection Based on Dynamic Background Modeling and Statistical | learning | Using Spatio-Temporal Features |
| Incoherent dictionary | learning | for sparse representation |
| Incoherent dictionary | learning | for sparse representation based image denoising |
| Incoherent Dictionary Pair | learning | : Application to a Novel Open-Source Database of Chinese Numbers |
| Incoming data prediction in smart home environment with HMM-based machine | learning | |
| Incomplete Label Multiple Instance Multiple Label | learning | |
| Incomplete Multi-View | learning | Under Label Shift |
| Incomplete multiview nonnegative representation | learning | with multiple graphs |
| Incomplete Multiview Spectral Clustering With Adaptive Graph | learning | |
| Inconsistency-based active | learning | for support vector machines |
| Inconsistency-Based Multi-Task Cooperative | learning | for Emotion Recognition |
| Incorporating Copying Mechanism in Image Captioning for | learning | Novel Objects |
| Incorporating Diversity into Self- | learning | for Synergetic Classification of Hyperspectral and Panchromatic Images |
| Incorporating Generic | learning | to Design Discriminative Classifier Adaptable for Unknown Subject in Face Verification |
| Incorporating Handcrafted Features into Deep | learning | for Point Cloud Classification |
| Incorporating image degeneration modeling with multitask | learning | for image super-resolution |
| Incorporating Invariances in Support Vector | learning | Machines |
| Incorporating Kinematic Wave Theory Into a Deep | learning | Method for High-Resolution Traffic Speed Estimation |
| Incorporating Learnable Membrane Time Constant to Enhance | learning | of Spiking Neural Networks |
| Incorporating Metric | learning | and Adversarial Network for Seasonal Invariant Change Detection |
| Incorporating Molecule's Stereisomerism within the Machine | learning | Framework |
| Incorporating multiple distance spaces in optimum-path forest classification to improve feedback-based | learning | |
| Incorporating Primal Sketch Based | learning | Into Low Bit-Rate Image Compression |
| Incorporating Reinforced Adversarial | learning | in Autoregressive Image Generation |
| Incorporating Self-attention Mechanism and Multi-task | learning | into Scene Text Detection |
| Incorporating Semi-Supervised and Positive-Unlabeled | learning | for Boosting Full Reference Image Quality Assessment |
| Incorporating Spatial Autocorrelation in Machine | learning | Models Using Spatial Lag and Eigenvector Spatial Filtering Features |
| Incorporating Visual Grounding In GCN For Zero-shot | learning | Of Human Object Interaction Actions |
| Increased-confidence Adversarial Examples for Deep | learning | Counter-forensics |
| Increasing Compactness of Deep | learning | Based Speech Enhancement Models With Parameter Pruning and Quantization Techniques |
| Increasing GPS Localization Accuracy With Reinforcement | learning | |
| Increasing the Effectiveness of Active | learning | : Introducing Artificial Data Generation in Active Learning for Land Use/Land Cover Classification |
| Increasing the Effectiveness of Active | learning | : Introducing Artificial Data Generation in Active Learning for Land Use/Land Cover Classification |
| Increasing the Robustness of Deep | learning | Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data |
| Incremental and Multi-feature Tensor Subspace | learning | Applied for Background Modeling and Subtraction |
| Incremental and robust | learning | of subspace representations |
| Incremental Bayesian | learning | of feature points from natural images |
| Incremental Dictionary | learning | for Unsupervised Domain Adaptation |
| Incremental Embedding and | learning | in the Local Discriminant Subspace With Application to Face Recognition |
| incremental evolutionary | learning | method for optimizing content-based image indexing algorithms, An |
| incremental extremely random forest classifier for online | learning | and tracking, An |
| incremental face recognition system based on deep | learning | , An |
| Incremental feature weight | learning | and its application to a shape-based query system |
| Incremental Few-shot Meta- | learning | via Indirect Discriminant Alignment |
| Incremental Hash-Bit | learning | for Semantic Image Retrieval in Nonstationary Environments |
| Incremental Kernel | learning | for Active Image Retrieval Without Global Dictionaries |
| Incremental LDA | learning | by Combining Reconstructive and Discriminative Approaches |
| incremental | learning | algorithm for Lagrangian support vector machines, An |
| Incremental | learning | Algorithm for Non-stationary Environments and Class Imbalance, An |
| Incremental | learning | Approach for Events Detection from Large Video Dataset |
| Incremental | learning | based on block sparse kernel nonnegative matrix factorization |
| Incremental | learning | for Bayesian Classification of Images |
| Incremental | learning | for Football Match Outcomes Prediction |
| Incremental | learning | for Human Action Recognition |
| Incremental | learning | for Motion Prediction of Pedestrians and Vehicles |
| Incremental | learning | for Robust Visual Tracking |
| Incremental | learning | for Simultaneous Augmentation of Feature and Class |
| Incremental | learning | for transductive support vector machine |
| Incremental | learning | for Video-Based Gait Recognition With LBP Flow |
| Incremental | learning | for Vision-Based Navigation |
| incremental | learning | framework combining sample confidence and discrimination with an application to automatic image annotation, An |
| Incremental | learning | from chunk data for IDR/QR |
| Incremental | learning | from examples using HC-expressions |
| Incremental | learning | from Low-labelled Stream Data in Open-Set Video Face Recognition |
| Incremental | learning | in Human Action Recognition Based on Snippets |
| Incremental | learning | in non-stationary environments with concept drift using a multiple classifier based approach |
| Incremental | learning | in Online Scenario |
| Incremental | learning | in Semantic Segmentation from Image Labels |
| Incremental | learning | in the Energy Minimisation Framework for Interactive Segmentation |
| Incremental | learning | Method for Face Recognition under Continuous Video Stream, An |
| Incremental | learning | Method for Unconstrained Gaze Estimation, An |
| Incremental | learning | of 3D-DCT Compact Representations for Robust Visual Tracking |
| Incremental | learning | of bidirectional principal components for face recognition |
| Incremental | learning | of Boosted Face Detector |
| Incremental | learning | of context free grammars based on bottom-up parsing and search |
| Incremental | learning | of dynamical models of faces |
| Incremental | learning | of First Order Logic Theories for the Automatic Annotations of Web Documents |
| Incremental | learning | of Hand Gestures Based on Submovement Sharing |
| Incremental | learning | of human activity models from videos |
| Incremental | learning | of latent structural SVM for weakly supervised image classification |
| Incremental | learning | of Locally Orthogonal Subspaces for Set-based Object Recognition |
| Incremental | learning | of mixture models for simultaneous estimation of class distribution and inter-class decision boundaries |
| Incremental | learning | of Multi-Domain Image-to-Image Translations |
| Incremental | learning | of NCM Forests for Large-Scale Image Classification |
| Incremental | learning | of Non-stationary Temporal Causal Networks for Telecommunication Domain |
| Incremental | learning | of nonparametric Bayesian mixture models |
| Incremental | learning | of Object Detector with Limited Training Data |
| Incremental | learning | of object detectors using a visual shape alphabet |
| Incremental | learning | of Object Detectors without Catastrophic Forgetting |
| Incremental | learning | of Random Forests for Large-Scale Image Classification |
| Incremental | learning | of Statistical Motion Patterns With Growing Hidden Markov Models |
| Incremental | learning | of Tasks From User Demonstrations, Past Experiences, and Vocal Comments |
| Incremental | learning | of Temporally-Coherent Gaussian Mixture Models |
| Incremental | learning | of the Model for Watershed-Based Image Segmentation |
| Incremental | learning | of Visual Landmarks for Mobile Robotics |
| Incremental | learning | Techniques for Semantic Segmentation |
| Incremental | learning | Techniques Within a Self-updating Approach for Face Verification in Video-Surveillance |
| Incremental | learning | Through Deep Adaptation |
| Incremental | learning | to segment micrographs |
| Incremental | learning | Using Conditional Adversarial Networks |
| Incremental | learning | via Rate Reduction |
| Incremental | learning | With Balanced Update on Receptive Fields for Multi-Sensor Data Fusion |
| Incremental | learning | with Neural Network Algorithm for the Monitoring Pre-Convective Environments Using Geostationary Imager |
| Incremental | learning | With Saliency Map for Moving Object Detection |
| Incremental | learning | with Sample Queries |
| Incremental | learning | With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy |
| Incremental | learning | with Soft-Biometric Features for People Re-Identification in Multi-Camera Environments |
| Incremental | learning | with Support Vector Data Description |
| Incremental | learning | -Experiments with Scriptor: An Engine for Online Recognition of Cursive Handwriting |
| Incremental machine | learning | techniques for document layout understanding |
| Incremental manifold | learning | by spectral embedding methods |
| Incremental Meta- | learning | via Episodic Replay Distillation for Few-Shot Image Recognition |
| Incremental Modelbase Updating: | learning | New Model Sites |
| Incremental MQDF | learning | for Writer Adaptive Handwriting Recognition |
| Incremental Multi-view Active | learning | Algorithm for PolSAR Data Classification, An |
| Incremental multi-view correlated feature | learning | based on non-negative matrix factorisation |
| Incremental Multiple Kernel | learning | for Object Recognition |
| Incremental Nonlinear Dimensionality Reduction by Manifold | learning | |
| Incremental Object Detection via Meta- | learning | |
| Incremental object | learning | and robust tracking of multiple objects from RGB-D point set data |
| Incremental Object | learning | From Contiguous Views |
| Incremental on-line semi-supervised | learning | for segmenting the left ventricle of the heart from ultrasound data |
| Incremental Online Object | learning | in a Vehicular Radar-Vision Fusion Framework |
| Incremental PCA for on-line visual | learning | and recognition |
| Incremental semi-supervised | learning | on streaming data |
| Incremental Similarity for real-time on-line incremental | learning | systems |
| Incremental Subspace | learning | for Cognitive Visual Processes |
| Incremental subspace | learning | via non-negative matrix factorization |
| Incremental Task | learning | with Incremental Rank Updates |
| Incremental Tensor Subspace | learning | and Its Applications to Foreground Segmentation and Tracking |
| Incremental transfer | learning | for object recognition in streaming video |
| Incremental transfer | learning | for video annotation via grouped heterogeneous sources |
| Incremental Unsupervised Three-Dimensional Vehicle Model | learning | From Video |
| Incremental Video Event | learning | |
| Incremental zero-shot | learning | based on attributes for image classification |
| incremental- | learning | neural network for the classification of remote-sensing images, An |
| Incremental- | learning | -by-Navigation Approach to Vision-Based Autonomous Land Vehicle Guidance in Indoor Environments Using Vertical Line Information and Multiweighted Generalized Hough Transform Technique, An |
| InDecGAN: | learning | to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement |
| Indefinite kernel spectral | learning | |
| Independency-enhancing adversarial active | learning | |
| Independent Component Alignment for Multi-Task | learning | |
| Independent selection and validation for tracking- | learning | -detection |
| Indian Classical Dance classification by | learning | dance pose bases |
| Indices Matter: | learning | to Index for Deep Image Matting |
| InDiReCT: Language-Guided Zero-Shot Deep Metric | learning | for Images |
| Individual Common Dolphin Identification Via Metric Embedding | learning | |
| Individual Palm Tree Detection Using Deep | learning | on RGB Imagery to Support Tree Inventory |
| Individual Scatterer Model | learning | for Satellite Interferometry |
| Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep | learning | |
| Individual Tree Extraction from Terrestrial LiDAR Point Clouds Based on Transfer | learning | and Gaussian Mixture Model Separation |
| Individual Tree-Crown Detection and Species Classification in Very High-Resolution Remote Sensing Imagery Using a Deep | learning | Ensemble Model |
| Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using Aerial RGB Imagery and Deep | learning | |
| Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep | learning | Neural Networks |
| Individualized | learning | for improving kernel Fisher discriminant analysis |
| Indoor Crowd Counting by Mixture of Gaussians Label Distribution | learning | |
| Indoor Emergency Path Planning Based on the Q- | learning | Optimization Algorithm |
| Indoor Lidar Relocalization Based on Deep | learning | Using A 3d Model |
| Indoor Place Category Recognition for a Cleaning Robot by Fusing a Probabilistic Approach and Deep | learning | |
| Indoor Reconstruction from Floorplan Images with a Deep | learning | Approach |
| Indoor Scene Recognition from RGB-D Images by | learning | Scene Bases |
| Indoor Scene Registration Based on Key Points Sampling and Hierarchical Feature | learning | |
| Induced-Current | learning | Method for Nonlinear Reconstructions in Electrical Impedance Tomography |
| Inductive conformal predictor for convolutional neural networks: Applications to active | learning | for image classification |
| Inductive | learning | in hand pose recognition |
| inductive | learning | method for medical diagnosis, An |
| Inductive | learning | Methods in the Simple Image Understanding System |
| Inductive manifold | learning | using structured support vector machine |
| Inductive Multi-Hypergraph | learning | and Its Application on View-Based 3D Object Classification |
| Industry Experience of Developing Day-Ahead Photovoltaic Plant Forecasting System Based on Machine | learning | |
| INENet: Inliers Estimation Network With Similarity | learning | for Partial Overlapping Registration |
| Inertial Sensing Meets Machine | learning | : Opportunity or Challenge? |
| Infant Brain Development Prediction With Latent Partial Multi-View Representation | learning | |
| Inference Acceleration of Deep | learning | Classifiers Based on RNN |
| Inference and | learning | for Active Sensing, Experimental Design and Control |
| Inference and | learning | of Graphical Models: Theory and Applications in Computer Vision and Image Analysis |
| Inference and | learning | with hierarchical compositional models |
| Inference and | learning | with Hierarchical Shape Models |
| Inference, | learning | and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs |
| Inferior myocardial infarction detection using stationary wavelet transform and machine | learning | approach |
| Inferring 3D body pose from silhouettes using activity manifold | learning | |
| Inferring Forces and | learning | Human Utilities from Videos |
| Inferring Grassland Drought Stress with Unsupervised | learning | from Airborne Hyperspectral VNIR Imagery |
| Inferring Human Activities Using Robust Privileged Probabilistic | learning | |
| Inferring Human Knowledgeability from Eye Gaze in Mobile | learning | Environments |
| Inferring Tasks and Fluents in Videos by | learning | Causal Relations |
| Inferring the past: a combined CNN-LSTM deep | learning | framework to fuse satellites for historical inundation mapping |
| Inferring the Scale and Content of A Map Using Deep | learning | |
| Infinite Adaptive Online | learning | Model for Segmentation and Classification of Streaming Data, An |
| Infinite Variational Autoencoder for Semi-Supervised | learning | |
| InfiniteNature-Zero: | learning | Perpetual View Generation of Natural Scenes from Single Images |
| Influence of erroneous | learning | samples on adaptation in on-line handwriting recognition |
| Influence of Multimodal 3D Visualizations on | learning | Acquisition, The |
| Influence Selection for Active | learning | |
| Info3D: Representation | learning | on 3D Objects Using Mutual Information Maximization and Contrastive Learning |
| Info3D: Representation | learning | on 3D Objects Using Mutual Information Maximization and Contrastive Learning |
| InfoGCN: Representation | learning | for Human Skeleton-based Action Recognition |
| InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive | learning | |
| Information Bottleneck and Aggregated | learning | |
| Information Bottleneck | learning | Using Privileged Information for Visual Recognition |
| Information Capture and Semantic Indexing of Digital Libraries Through Machine | learning | Techniques |
| Information Dropout: | learning | Optimal Representations Through Noisy Computation |
| Information Fusion Approach to Intelligent Traffic Signal Control Using the Joint Methods of Multiagent Reinforcement | learning | and Artificial Intelligence of Things, An |
| Information Fusion for Spaceborne GNSS-R Sea Surface Height Retrieval Using Modified Residual Multimodal Deep | learning | Method |
| Information in Streetscapes: Research on Visual Perception Information Quantity of Street Space Based on Information Entropy and Machine | learning | |
| Information Leakage in Deep | learning | -Based Hyperspectral Image Classification: A Survey |
| Information Optimization and Transferable State Abstractions in Deep Reinforcement | learning | |
| Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot | learning | |
| Information Theoretic | learning | for Pixel-Based Visual Agents |
| Information theoretic methods for | learning | generative models for relational structures |
| Information Theoretic Rotationwise Robust Binary Descriptor | learning | |
| Information-Based | learning | of Deep Architectures for Feature Extraction |
| Information-Theoretic Active | learning | for Content-Based Image Retrieval |
| Information-Theoretic Approach to Personalized Explainable Machine | learning | , An |
| Information-Theoretic Approach to Transferability in Task Transfer | learning | , An |
| Information-Theoretic Dictionary | learning | for Image Classification |
| Information-Theoretic Generalization Analysis for Topology-Aware Heterogeneous Federated Edge | learning | Over Noisy Channels |
| Information-theoretic | learning | for FAN network applied to eterokurtic component analysis |
| Information-Theoretic Odometry | learning | |
| Information-theoretic policy | learning | from partial observations with fully informed decision makers |
| InfoVAEGAN: | learning | Joint Interpretable Representations by Information Maximization and Maximum Likelihood |
| Infrared and Visible Image Fusion using a Deep | learning | Framework |
| Infrared and Visible Image Fusion via Interactive Compensatory Attention Adversarial | learning | |
| Infrared and visible image fusion via parallel scene and texture | learning | |
| Infrared Dim and Small Target Detection Based on Stable Multisubspace | learning | in Heterogeneous Scene |
| Infrared Dim and Small Target Detection via Multiple Subspace | learning | and Spatial-Temporal Patch-Tensor Model |
| Infrared Image Super-Resolution via Transfer | learning | and PSRGAN |
| Infrared Small Target Detection Based on Saliency Guided Multi-Task | learning | |
| Infrared-visible cross-modal person re-identification via dual-attention collaborative | learning | |
| Infrared-Visible Person Re-Identification Via Cross-Modality Batch Normalized Identity Embedding And Mutual | learning | |
| Infrasound Source Localization of Distributed Stations Using Sparse Bayesian | learning | and Bayesian Information Fusion |
| Ingredient Prediction via Context | learning | Network with Class-Adaptive Asymmetric Loss |
| Ingredient-oriented Multi-Degradation | learning | for Image Restoration |
| Inherent Structure-Guided Multi-view | learning | for Alzheimer's Disease and Mild Cognitive Impairment Classification |
| Initial Pose Estimation of 3d Object with Severe Occlusion Using Deep | learning | |
| Initialization and Transfer | learning | of Stochastic Binary Networks from Real-Valued Ones |
| Initialize with Mask: For More Efficient Federated | learning | |
| Ink Marker Segmentation in Histopathology Images Using Deep | learning | |
| innovative multi-label | learning | based algorithm for city data computing, An |
| Inpaint2Learn: A Self-Supervised Framework for Affordance | learning | |
| Inpainting, GAN, CNN, Neural Nets, | learning | |
| Input and Weight Space Smoothing for Semi-Supervised | learning | |
| Input Fast-Forwarding for Better Deep | learning | |
| Inquiry-Based | learning | Through Image Processing |
| Insights from the Future for Continual | learning | |
| Insights Into Analysis Operator | learning | : From Patch-Based Sparse Models to Higher Order MRFs |
| Instance and Category Supervision are Alternate Learners for Continual | learning | |
| Instance cloned extreme | learning | machine |
| Instance Credibility Inference for Few-Shot | learning | |
| Instance exploitation for | learning | temporary concepts from sparsely labeled drifting data streams |
| Instance GNN: A | learning | Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams |
| Instance Motion Tendency | learning | for Video Panoptic Segmentation |
| Instance Paradigm Contrastive | learning | for Domain Generalization |
| Instance Segmentation by | learning | Deep Feature in Embedding Space |
| Instance Segmentation by Semi-Supervised | learning | and Image Synthesis |
| Instance Segmentation in Very High Resolution Remote Sensing Imagery Based on Hard-to-Segment Instance | learning | and Boundary Shape Analysis |
| instance selection approach to Multiple instance | learning | , An |
| Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature | learning | in Image Classification |
| Instance Similarity | learning | for Unsupervised Feature Representation |
| Instance-Aware Deep Graph | learning | for Multi-Label Classification |
| Instance-aware representation | learning | and association for online multi-person tracking |
| Instance-Based Deep Transfer | learning | |
| Instance-based | learning | using the half-space proximal graph |
| Instance-Based Zero-Shot | learning | for semi-Automatic MeSH indexing |
| Instance-Dependent Label-Noise | learning | with Manifold-Regularized Transition Matrix Estimation |
| Instance-Dependent Noisy Label | learning | via Graphical Modelling |
| Instance-Dependent Positive and Unlabeled | learning | With Labeling Bias Estimation |
| Instance-Level Coupled Subspace | learning | for Fine-Grained Sketch-Based Image Retrieval |
| Instance-Level Few-Shot | learning | With Class Hierarchy Mining |
| Instance-Weighted Transfer | learning | of Active Appearance Models |
| Instance-wise Hard Negative Example Generation for Contrastive | learning | in Unpaired Image-to-Image Translation |
| Instant Continual | learning | of Neural Radiance Fields |
| InstantAvatar: | learning | Avatars from Monocular Video in 60 Seconds |
| InstructPix2Pix: | learning | to Follow Image Editing Instructions |
| Instrument | learning | and Sparse NMD for Automatic Polyphonic Music Transcription |
| Integrated Approach of Deep | learning | and Symbolic Analysis for Digital PDF Table Extraction, An |
| Integrated Framework for Unsupervised Building Segmentation with Segment Anything Model-Based Pseudo-Labeling and Weakly Supervised | learning | |
| Integrated generalized zero-shot | learning | for fine-grained classification |
| Integrated Global-Local Metric | learning | for Person Re-identification |
| Integrated inference and | learning | of neural factors in structural support vector machines |
| Integrated | learning | and Feature Selection for Deep Neural Networks in Multispectral Images |
| Integrated | learning | of Saliency, Complex Features, and Object Detectors from Cluttered Scenes |
| Integrated metric | learning | with adaptive constraints for person re-identification |
| Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement | learning | , An |
| Integrated Precision Farming Application Based on 5G, UAV and Deep | learning | Technologies, An |
| Integrated Recognition, | learning | and Image Databases: Image Understanding Research at UC Riverside |
| integrated symbolic and neural network architecture for machine | learning | in the domain of nuclear engineering, An |
| Integrated Traffic Control for Freeway Recurrent Bottleneck Based on Deep Reinforcement | learning | |
| Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine | learning | Approaches |
| Integrating Active and Passive Remote Sensing Data for Mapping Soil Salinity Using Machine | learning | and Feature Selection Approaches in Arid Regions |
| Integrating Algebraic Functions of Views with Indexing and | learning | for 3D Object Recognition |
| Integrating Backdating and Transfer | learning | in an Object-Based Framework for High Resolution Image Classification and Change Analysis |
| Integrating Concept Ontology and Multitask | learning | to Achieve More Effective Classifier Training for Multilevel Image Annotation |
| Integrating Data and Image Domain Deep | learning | for Limited Angle Tomography using Consensus Equilibrium |
| Integrating Deep | learning | and Hydrodynamic Modeling to Improve the Great Lakes Forecast |
| Integrating deep | learning | and traditional image enhancement techniques for underwater image enhancement |
| Integrating distance metric | learning | into label propagation model for multi-label image annotation |
| Integrating foreground-background feature distillation and contrastive feature | learning | for ultra-fine-grained visual classification |
| Integrating GEOBIA, Machine | learning | , and Volunteered Geographic Information to Map Vegetation over Rooftops |
| Integrating Geovisual Analytics with Machine | learning | for Human Mobility Pattern Discovery |
| Integrating GRACE/GRACE Follow-On and Wells Data to Detect Groundwater Storage Recovery at a Small-Scale in Beijing Using Deep | learning | |
| Integrating Hierarchical Statistical Models and Machine- | learning | Algorithms for Ground-Truthing Drone Images of the Vegetation: Taxonomy, Abundance and Population Ecological Models |
| Integrating information theory and adversarial | learning | for cross-modal retrieval |
| Integrating Language Guidance into Vision-based Deep Metric | learning | |
| Integrating | learning | Techniques into iCAL4LA-Bijak Matematik Courseware to Motivate Low Achieving Children in Learning |
| Integrating | learning | Techniques into iCAL4LA-Bijak Matematik Courseware to Motivate Low Achieving Children in Learning |
| Integrating Low-Level Features Computation with Inductive | learning | Techniques for Texture Recognition |
| Integrating Machine | learning | Ensembles for Landslide Susceptibility Mapping in Northern Pakistan |
| Integrating machine | learning | with region-based active contour models in medical image segmentation |
| Integrating Model Predictive Control With Federated Reinforcement | learning | for Decentralized Energy Management of Fuel Cell Vehicles |
| Integrating Multi-Label Contrastive | learning | With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval |
| Integrating multi-level deep | learning | and concept ontology for large-scale visual recognition |
| Integrating Multi-Sensors Data for Species Distribution Mapping Using Deep | learning | and Envelope Models |
| Integrating Multi-Source Remote Sensing to Assess Forest Aboveground Biomass in the Khingan Mountains of North-Eastern China Using Machine- | learning | Algorithms |
| Integrating Multiple Datasets and Machine | learning | Algorithms for Satellite-Based Bathymetry in Seaports |
| Integrating Neural Networks Into the Blind Deblurring Framework to Compete With the End-to-End | learning | -Based Methods |
| Integrating prior domain knowledge into discriminative | learning | using automatic model construction and phantom examples |
| Integrating Relevance Feedback Techniques for Image Retrieval Using Reinforcement | learning | |
| Integrating Remote Sensing and Landscape Characteristics to Estimate Soil Salinity Using Machine | learning | Methods: A Case Study from Southern Xinjiang, China |
| Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine | learning | Approach |
| Integrating Remote Sensing, Machine | learning | , and Citizen Science in Dutch Archaeological Prospection |
| Integrating SAR and Optical Data for Aboveground Biomass Estimation of Coastal Wetlands Using Machine | learning | : Multi-Scale Approach |
| Integrating SAR, Optical, and Machine | learning | for Enhanced Coastal Mangrove Monitoring in Guyana |
| Integrating segmentation with deep | learning | for enhanced classification of epithelial and stromal tissues in H&E images |
| Integrating Semi-Supervised | learning | with an Expert System for Vegetation Cover Classification Using Sentinel-2 and RapidEye Data |
| Integrating Sentinel-1/2 Data and Machine | learning | to Map Cotton Fields in Northern Xinjiang, China |
| Integrating serious games into the engineering curriculum - a game-based | learning | approach to power systems analysis |
| Integrating topology beyond descriptions for zero-shot | learning | |
| Integrating Visual Perception With Decision Making in Neuromorphic Fault-Tolerant Quadruplet-Spike | learning | Framework |
| Integrating web usage mining for an automatic learner profile detection: A | learning | styles-based approach |
| Integrating word embeddings and document topics with deep | learning | in a video classification framework |
| Integration of a Crop Growth Model and Deep | learning | Methods to Improve Satellite-Based Yield Estimation of Winter Wheat in Henan Province, China |
| Integration of active | learning | in a collaborative CRF |
| Integration of deep feature extraction and ensemble | learning | for outlier detection |
| Integration of Deep | learning | and Transfer Learning for Earthquake-Risk Assessment in the Eurasian Region, An |
| Integration of Deep | learning | and Transfer Learning for Earthquake-Risk Assessment in the Eurasian Region, An |
| Integration of Dynamic Multi-Atlas and Deep | learning | Techniques to Improve Segmentation of the Prostate in MR Images |
| Integration of Global and Local Metrics for Domain Adaptation | learning | Via Dimensionality Reduction |
| Integration of Hyperspectral Image Classification and Unmixing for Active | learning | |
| Integration of Machine | learning | and Open Access Geospatial Data for Land Cover Mapping |
| Integration of Machine | learning | and Vision into an Active Agent Paradigm |
| Integration of multi-feature fusion and dictionary | learning | for face recognition |
| Integration of Multi-Sensor Data to Estimate Plot-Level Stem Volume Using Machine | learning | Algorithms-Case Study of Evergreen Conifer Planted Forests in Japan |
| Integration of Multitemporal Sentinel-1 and Sentinel-2 Imagery For Land-cover Classification Using Machine | learning | Methods |
| Integration of Photogrammetric and Spectral Techniques for Advanced Drone-Based Bathymetry Retrieval Using a Deep | learning | Approach |
| Integration of Point Clouds from 360° Videos and Deep | learning | Techniques for Rapid Documentation and Classification in Historical City Centers |
| Integration of Satellite Precipitation Data and Deep | learning | for Improving Flash Flood Simulation in a Poor-Gauged Mountainous Catchment |
| Integrative Few-Shot | learning | for Classification and Segmentation |
| Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep | learning | Approaches |
| Intelligent Acquisition and | learning | of Fluorescence Microscope Data Models |
| Intelligent Deblending of Seismic Data Based on U-Net and Transfer | learning | |
| Intelligent deep | learning | based bidirectional long short term memory model for automated reply of e-mail client prototype |
| Intelligent deep | learning | based ethnicity recognition and classification using facial images |
| Intelligent detection of building cracks based on deep | learning | |
| Intelligent Energy Management Strategy Based on an Improved Reinforcement | learning | Algorithm With Exploration Factor for a Plug-in PHEV |
| Intelligent Estimating the Tree Height in Urban Forests Based on Deep | learning | Combined with a Smartphone and a Comparison with UAV-LiDAR |
| Intelligent facial expression recognition and classification using optimal deep transfer | learning | model |
| Intelligent Image Prefetching for Supporting Radiologists' Primary Reading: A Decision-Rule Inductive | learning | Approach |
| Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep | learning | |
| Intelligent | learning | Algorithm and Intelligent Transportation-Based Energy Management Strategies for Hybrid Electric Vehicles: A Review |
| Intelligent medical heterogeneous big data set balanced clustering using deep | learning | |
| Intelligent Missing Shots' Reconstruction Using the Spatial Reciprocity of Green's Function Based on Deep | learning | |
| Intelligent Mobile Vehicle Navigator Based on Fuzzy Logic and Reinforcement | learning | , An |
| Intelligent Mobile Video Surveillance System as a Bayesian Coalition Game in Vehicular Sensor Networks: | learning | Automata Approach |
| Intelligent multimodal pedestrian detection using hybrid metaheuristic optimization with deep | learning | model |
| Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement | learning | |
| Intelligent photo clustering with user interaction and distance metric | learning | |
| Intelligent Photographing Guidance System Based on Compositional Deep Features and Intepretable Machine | learning | Model, An |
| Intelligent plankton image classification with deep | learning | |
| Intelligent Positioning Approach for High Speed Trains Based on Ant Colony Optimization and Machine | learning | Algorithms |
| Intelligent Prediction of Train Delay Changes and Propagation Using RVFLNs With Improved Transfer | learning | and Ensemble Learning |
| Intelligent Prediction of Train Delay Changes and Propagation Using RVFLNs With Improved Transfer | learning | and Ensemble Learning |
| Intelligent querying for target tracking in camera networks using deep Q- | learning | with n-step bootstrapping |
| Intelligent Radar Jamming Recognition in Open Set Environment Based on Deep | learning | Networks |
| Intelligent Reconstruction of Radar Composite Reflectivity Based on Satellite Observations and Deep | learning | |
| Intelligent Traffic Accident Prediction Model for Internet of Vehicles With Deep | learning | Approach |
| Intelligent Train Operation Algorithms for Subway by Expert System and Reinforcement | learning | |
| Intelligent train operation based on deep | learning | from excellent driver manipulation patterns |
| Intelligent train stopping control for railways: A deep | learning | approach |
| Intelligent video anomaly detection and classification using faster RCNN with deep reinforcement | learning | model |
| Intelligent WSN System for Water Quality Analysis Using Machine | learning | Algorithms: A Case Study (Tahuando River from Ecuador) |
| Intensional | learning | to Efficiently Build Up Automatically Annotated Emotion Corpora |
| Intensity Thresholding and Deep | learning | Based Lane Marking Extraction and Lane Width Estimation from Mobile Light Detection and Ranging (LiDAR) Point Clouds |
| Intention-aware Transformer with Adaptive Social and Temporal | learning | for Vehicle Trajectory Prediction |
| Intentional motion on-line | learning | and prediction |
| Intentions of Vulnerable Road Users: Detection and Forecasting by Means of Machine | learning | |
| Inter mode selection for H.264/AVC using time-efficient | learning | -theoretic algorithms |
| Inter-active | learning | of randomized tree ensembles for object detection |
| Inter-battery Topic Representation | learning | |
| Inter-camera tracking based on fully unsupervised online | learning | |
| Inter-Continental Transfer of Pre-Trained Deep | learning | Rice Mapping Model and Its Generalization Ability |
| Inter-Intra Cross-Modality Self-Supervised Video Representation | learning | by Contrastive Clustering |
| Inter-Modal Masked Autoencoder for Self-Supervised | learning | on Point Clouds |
| Inter-Slice Context Residual | learning | for 3D Medical Image Segmentation |
| Interaction analysis through fuzzy temporal logic: Extensions for clustering and parameter | learning | |
| Interaction Compass: Multi-Label Zero-Shot | learning | of Human-Object Interactions via Spatial Relations |
| Interactive Cell Segmentation Based on Active and Semi-Supervised | learning | |
| Interactive CT image segmentation with online discriminative | learning | |
| Interactive deep | learning | method for segmenting moving objects |
| Interactive Disentanglement: | learning | Concepts by Interacting with their Prototype Representations |
| Interactive Event Search through Transfer | learning | |
| Interactive Few-Shot | learning | : Limited Supervision, Better Medical Image Segmentation |
| Interactive Framework for Insect Tracking with Active | learning | |
| interactive grading and | learning | system for chinese calligraphy, An |
| Interactive Human Intention Reading by | learning | Hierarchical Behavior Knowledge Networks for Human-Robot Interaction |
| Interactive Image Segmentation Using Dirichlet Process Multiple-View | learning | |
| Interactive Image Segmentation Using Machine | learning | Techniques |
| Interactive image segmentation via cascaded metric | learning | |
| Interactive intelligent agents with creative minds: Experiments with mobile robots in cooperating tasks by using machine | learning | |
| Interactive Knowledge | learning | for Ancient Images |
| Interactive | learning | and Probabilistic Retrieval in Remote Sensing Image Archives |
| Interactive | learning | of a Multiple-Attribute Hash Table Classifier for Fast Object Recognition |
| Interactive | learning | of human activities using active video composition |
| Interactive | learning | of Intrinsic and Extrinsic Properties for All-Day Semantic Segmentation |
| Interactive | learning | of Scene Context Extractor Using Combination of Bayesian Network and Logic Network |
| Interactive | learning | with a Society of Models |
| Interactive Lesion Segmentation with Shape Priors From Offline and Online | learning | |
| Interactive Localized Content Based Image Retrieval with Multiple-Instance Active | learning | |
| Interactive Medical Image Segmentation Using Deep | learning | With Image-Specific Fine Tuning |
| Interactive Multi-dimension Modulation with Dynamic Controllable Residual | learning | for Image Restoration |
| Interactive Multi-Label CNN | learning | With Partial Labels |
| Interactive Multimodal | learning | for Venue Recommendation |
| Interactive multiple object | learning | with scanty human supervision |
| Interactive Prototype | learning | for Egocentric Action Recognition |
| Interactive tangible user interface for music | learning | |
| Interactive Trajectory Prediction Using a Driving Risk Map-Integrated Deep | learning | Method for Surrounding Vehicles on Highways |
| Interactive Video Indexing With Statistical Active | learning | |
| Interactive Video Retrieval in the Age of Deep | learning | : Detailed Evaluation of VBS 2019 |
| Interannual Monitoring of Cropland in South China from 1991 to 2020 Based on the Combination of Deep | learning | and the LandTrendr Algorithm |
| Interannual Transfer | learning | Approach for Crop Classification in the Hetao Irrigation District, China, An |
| Interclass-Relativity-Adaptive Metric | learning | for Cross-Modal Matching and Beyond |
| Intercomparison of Data-Driven and | learning | -Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations |
| Intercomparison of Machine- | learning | Methods for Estimating Surface Shortwave and Photosynthetically Active Radiation |
| Interestingness Prediction by Robust | learning | to Rank |
| Interference Mitigation for Automotive FMCW Radar Based on Contrastive | learning | With Dilated Convolution |
| Intermittent Contextual | learning | for Keyfilter-Aware UAV Object Tracking Using Deep Convolutional Feature |
| Internal | learning | Approach to Video Inpainting, An |
| Internal Tree Trunk Decay Detection Using Close-Range Remote Sensing Data and the PointNet Deep | learning | Method |
| Internal-Model-Principle-Based Fast Adaptive Iterative | learning | Trajectory Tracking Control for Autonomous Farming Vehicle Under Alignment Condition and Input Constraint |
| International Conference on Computer Vision, Image and Deep | learning | |
| International Journal of Machine | learning | and Computing |
| International Workshop on Industrial Machine | learning | |
| Internet cross-media retrieval based on deep | learning | |
| Internet Curiosity: Directed Unsupervised | learning | on Uncurated Internet Data |
| Interoperability Study of Data Preprocessing for Deep | learning | and High-Resolution Aerial Photographs for Forest and Vegetation Type Identification |
| Interpolation of Head-Related Transfer Functions Using Manifold | learning | |
| Interpolation of Instantaneous Air Temperature Using Geographical and MODIS Derived Variables with Machine | learning | Techniques |
| Interpolation-based Semi-supervised | learning | for Object Detection |
| Interpretability-Driven Sample Selection Using Self Supervised | learning | for Disease Classification and Segmentation |
| Interpretable and Accurate Deep- | learning | Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning, An |
| Interpretable and Accurate Deep- | learning | Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning, An |
| Interpretable and Effective | learning | for 3D Point Cloud Registration, Classification and Segmentation |
| Interpretable by Design: | learning | Predictors by Composing Interpretable Queries |
| Interpretable Concept-Based Prototypical Networks for Few-Shot | learning | |
| Interpretable Deep Architecture for Similarity | learning | Built Upon Hierarchical Concepts, An |
| Interpretable Deep | learning | Applied to Rip Current Detection and Localization |
| Interpretable Deep | learning | -Based Forensic Iris Segmentation and Recognition |
| Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement | learning | |
| Interpretable ensemble deep | learning | model for early detection of Alzheimer's disease using local interpretable model-agnostic explanations |
| Interpretable Framework to Characterize Compound Treatments on Filamentous Fungi using Cell Painting and Deep Metric | learning | , An |
| Interpretable Graph Convolutional Network for Multi-View Semi-Supervised | learning | |
| Interpretable | learning | for Self-Driving Cars by Visualizing Causal Attention |
| Interpretable Multi-Modal Stacking-Based Ensemble | learning | Method for Real Estate Appraisal |
| Interpretable multidisease diagnosis and label noise detection based on a matching network and self-paced | learning | |
| Interpretable Representation | learning | on Natural Image Datasets via Reconstruction in Visual-Semantic Embedding Space |
| Interpretable Structured | learning | with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction |
| Interpreting Adversarial Examples and Robustness for Deep | learning | -Based Auto-Driving Systems |
| Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine | learning | -based predictive neuroimaging |
| Interpreting Disparate Privacy-Utility Tradeoff in Adversarial | learning | via Attribute Correlation |
| Interpreting mechanisms of prediction for skin cancer diagnosis using multi-task | learning | |
| Interpreting the Structure of Single Images by | learning | from Examples |
| Interpreting vulnerabilities of multi-instance | learning | to adversarial perturbations |
| Intersection-Based QoS Routing for Vehicular Ad Hoc Networks With Reinforcement | learning | , An |
| Intersection-Based V2X Routing via Reinforcement | learning | in Vehicular Ad Hoc Networks |
| Intertwining History and Places: The Design of TongSEE Location-Based Augmented Reality Application for History | learning | |
| Interventional Bag Multi-Instance | learning | On Whole-Slide Pathological Images |
| Interventional Video Grounding with Dual Contrastive | learning | |
| Intra To Inter: Towards Intra Prediction for | learning | -Based Video Coders Using Optical Flow |
| Intra voxel analysis in magnetic resonance imaging via deep | learning | |
| Intra- and Inter-Class Induced Discriminative Deep Dictionary | learning | for Visual Recognition |
| Intra- and Inter-Slice Contrastive | learning | for Point Supervised OCT Fluid Segmentation |
| Intra-cardiac Signatures of Atrial Arrhythmias Identified by Machine | learning | and Traditional Features |
| Intra-Class Adaptive Augmentation With Neighbor Correction for Deep Metric | learning | |
| IntrA: 3D Intracranial Aneurysm Dataset for Deep | learning | |
| IntraQ: | learning | Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization |
| IntraTomo: Self-supervised | learning | -based Tomography via Sinogram Synthesis and Prediction |
| Intriguing Properties of Randomly Weighted Networks: Generalizing While | learning | Next to Nothing |
| Intrinsic and Complete Structure | learning | Based Incomplete Multiview Clustering |
| Intrinsic Geometries in | learning | |
| Intrinsic Grassmann Averages for Online Linear and Robust Subspace | learning | |
| Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace | learning | |
| Intrinsic Imaging Model Enhanced Contrastive Face Representation | learning | |
| Intrinsic Isometric Manifold | learning | with Application to Localization |
| Intrinsic Neural Fields: | learning | Functions on Manifolds |
| Intrinsically motivated model | learning | for developing curious robots |
| IntrinsicNeRF: | learning | Intrinsic Neural Radiance Fields for Editable Novel View Synthesis |
| Introducing ARTMO's Machine- | learning | Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape |
| Introducing Geometry in Active | learning | for Image Segmentation |
| Introducing instance label correlation in multiple instance | learning | . Application to cancer detection on histopathological images |
| Introducing Language Guidance in Prompt-based Continual | learning | |
| Introducing Region Pooling | learning | |
| Introducing the structural bases of typicality effects in deep | learning | |
| Introduction to Adversarially Robust Deep | learning | , An |
| Introduction to Image Processing Using R: | learning | by Examples |
| Introduction to the special issue on deep | learning | for real-time information hiding and forensics |
| Introduction to the Special Issue on | learning | in Computer Vision and Pattern Recognition |
| Introduction to the Special Issue on Machine | learning | for Traffic Sign Recognition |
| Introduction to the Special Issue on Online | learning | for Big-Data Driven Transportation and Mobility |
| Introduction to the Special Section on Deep | learning | for Visual Surveillance |
| Introduction to the Special Section on Deep | learning | in Video Enhancement and Evaluation: The New Frontier |
| Introduction to the Special Section on | learning | in Computer Vision |
| Introduction: | learning | and Vision at CBCL |
| Introspective Deep Metric | learning | |
| Introspective GAN: | learning | to grow a GAN for incremental generation and classification |
| Introspective | learning | by Distilling Knowledge from Online Self-explanation |
| Intrusion Detection and Network Information Security Based on Deep | learning | Algorithm in Urban Rail Transit Management System |
| Intrusion Detection Method Based on Machine | learning | and State Observer for Train-Ground Communication Systems, An |
| Intrusion Detection System Using Deep | learning | and Its Application to Wi-Fi Network |
| Invariant Feature | learning | for Generalized Long-Tailed Classification |
| Invariant Object Material Identification via Discriminant | learning | on Absorption Features |
| Invariant Policy | learning | : A Causal Perspective |
| Invariant Representation | learning | for Infant Pose Estimation with Small Data |
| Invariant subspace | learning | for time series data based on dynamic time warping distance |
| Inverse Compositional | learning | for Weakly-supervised Relation Grounding |
| Inverse Dynamics of Human Passive Motion Based on Iterative | learning | Control |
| Inverse halftoning by decision tree | learning | |
| Inverse Mapping with Manifold Alignment for Zero-shot | learning | , An |
| Inverse Multiple Instance | learning | for Classifier Grids |
| Inverse Synthetic Aperture Radar Sparse Imaging Exploiting the Group Dictionary | learning | |
| InverseRenderNet: | learning | Single Image Inverse Rendering |
| Inversion of Different Cultivated Soil Types' Salinity Using Hyperspectral Data and Machine | learning | |
| Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using Machine | learning | |
| Inversion of Soil Salinity Using Multisource Remote Sensing Data and Particle Swarm Machine | learning | Models in Keriya Oasis, Northwestern China |
| Inverted Algorithm of Terrestrial Water-Storage Anomalies Based on Machine | learning | Combined with Load Model and Its Application in Southwest China |
| Inverting the Imaging Process by | learning | an Implicit Camera Model |
| Investigating and Exploiting Image Resolution for Transfer | learning | -based Skin Lesion Classification |
| Investigating Bi-Level Optimization for | learning | and Vision from a Unified Perspective: A Survey and Beyond |
| Investigating Haze-Relevant Features in a | learning | Framework for Image Dehazing |
| Investigating self-supervised | learning | for Skin Lesion Classification |
| Investigating the Automatic Classification of Algae Using the Spectral and Morphological Characteristics via Deep Residual | learning | |
| Investigating the Best Performing Task Conditions of a Multi-Tasking | learning | Model in Healthcare Using Convolutional Neural Networks: Evidence from a Parkinson'S Disease Database |
| Investigating the control of ocean-atmospheric oscillations over global terrestrial evaporation using a simple supervised | learning | method |
| Investigating the Effect of Inter-letter Spacing Modulation on Data-driven Detection of Developmental Dyslexia Based on Eye-movement Correlates of Reading: A Machine | learning | Approach |
| Investigating the Effects of Display Fidelity of Popular Head-mounted Displays on Spatial Updating and | learning | in Virtual Reality |
| Investigating the Prospect of Leveraging Blockchain and Machine | learning | to Secure Vehicular Networks: A Survey |
| Investigation of Deep | learning | for Lesions Malignancy Classification in Breast DCE-MRI, An |
| Investigation of Feature Selection and Transfer | learning | for Writer-Independent Offline Handwritten Signature Verification, An |
| Investigation on deep | learning | for off-line handwritten Arabic Character Recognition using Theano research platform |
| InvFlow: Involution and multi-scale interaction for unsupervised | learning | of optical flow |
| IOMatch: Simplifying Open-Set Semi-Supervised | learning | with Joint Inliers and Outliers Utilization |
| IOSL: Incremental Open Set | learning | |
| IoT Enabled Deep | learning | Based Framework for Multiple Object Detection in Remote Sensing Images |
| IPCert: Provably Robust Intellectual Property Protection for Machine | learning | |
| IPVNet: | learning | implicit point-voxel features for open-surface 3D reconstruction |
| IR-SSL: Improved Regularization Based Semi-Supervised | learning | for Land Cover Classification |
| IRDCLNet: Instance Segmentation of Ship Images Based on Interference Reduction and Dynamic Contour | learning | in Foggy Scenes |
| Iris Image Blur Detection with Multiple Kernel | learning | |
| Iris matching by means of Machine | learning | paradigms: A new approach to dissimilarity computation |
| Iris recognition through machine | learning | techniques: A survey |
| IRIS Super-Resolution via Nonparametric Over-Complete Dictionary | learning | |
| IRLAS: Inverse Reinforcement | learning | for Architecture Search |
| IRLSOT: Inverse reinforcement | learning | for scene-oriented trajectory prediction |
| Irrelevance and Parameter | learning | in Bayesian Networks |
| IrrMapper: A Machine | learning | Approach for High Resolution Mapping of Irrigated Agriculture Across the Western U.S. |
| Is Deep | learning | Safe for Robot Vision? Adversarial Examples Against the iCub Humanoid |
| Is E- | learning | Really Flexible? Ideas for Building Effective Interactive Learning Environments for Cultural Heritage |
| Is E- | learning | Really Flexible? Ideas for Building Effective Interactive Learning Environments for Cultural Heritage |
| Is Meta- | learning | Always Necessary?: A Practical ML Framework Solving Novel Tasks at Large-scale Car Sharing Platform |
| Is object localization for free? - Weakly-supervised | learning | with convolutional neural networks |
| Is Pinocchio's Nose Long or His Head Small? | learning | Shape Distances for Classification |
| Is that you? Metric | learning | approaches for face identification |
| Is the Meta- | learning | Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? |
| Is the Meta- | learning | Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? |
| ISCL: Interdependent Self-Cooperative | learning | for Unpaired Image Denoising |
| ISD: Self-Supervised | learning | by Iterative Similarity Distillation |
| Island Loss for | learning | Discriminative Features in Facial Expression Recognition |
| Isotropic Reconstruction of MR Images Using 3D Patch-Based Self-Similarity | learning | |
| Isotropic Self-Supervised | learning | for Driver Drowsiness Detection With Attention-Based Multimodal Fusion |
| ISP-IRLNet: Joint optimization of interpretable sampler and implicit regularization | learning | network for accerlerated MRI |
| ISP4ML: The Role of Image Signal Processing in Efficient Deep | learning | Vision Systems |
| ISPRS Workshop Hyperspectral Sensing Meets Machine | learning | and Pattern Analysis |
| Issues in | learning | from Noisy Sensory Data |
| iTAML: An Incremental Task-Agnostic Meta- | learning | Approach |
| iterative algorithm | learning | the maximal margin classifier, An |
| Iterative Blind Image Motion Deblurring via | learning | a No-Reference Image Quality Measure |
| Iterative Category Discovery via Multiple Kernel Metric | learning | |
| Iterative Class Prototype Calibration for Transductive Zero-Shot | learning | |
| Iterative Co-Training Transductive Framework for Zero Shot | learning | , An |
| Iterative Contrastive | learning | for Single Image Raindrop Removal |
| Iterative Cross | learning | on Noisy Labels |
| Iterative Hyperplane Merging: A Framework for Manifold | learning | |
| Iterative Kernel Reconstruction for Deep | learning | -Based Blind Image Super-Resolution |
| Iterative Knowledge Exchange Between Deep | learning | and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos |
| Iterative label cleaning for transductive and semi-supervised few-shot | learning | |
| Iterative | learning | Control for 2-D linear discrete systems with Roessor's model |
| Iterative | learning | Control for Precise Aircraft Trajectory Tracking in Continuous Climb and Descent Operations |
| Iterative | learning | control for stochastic point-to-point tracking system |
| Iterative | learning | control of wheeled robot trajectory tracking |
| Iterative | learning | Framework for Multimodal Chlorophyll-a Estimation, An |
| Iterative | learning | of an unknown road path through cooperative driving of vehicles |
| Iterative | learning | Tracking Control of High-Speed Trains With Nonlinearly Parameterized Uncertainties and Multiple Time-Varying Delays |
| Iterative | learning | with Open-set Noisy Labels |
| Iterative Local-Global Collaboration | learning | Towards One-Shot Video Person Re-Identification |
| Iterative multi-class multi-scale stacked sequential | learning | : Definition and application to medical volume segmentation |
| Iterative online subspace | learning | for robust image alignment |
| Iterative Prompt | learning | for Unsupervised Backlit Image Enhancement |
| Iterative quantization: A procrustean approach to | learning | binary codes |
| Iterative Quantization: A Procrustean Approach to | learning | Binary Codes for Large-Scale Image Retrieval |
| Iterative Re-Constrained Group Sparse Face Recognition With Adaptive Weights | learning | |
| Iterative Reference Driven Metric | learning | for Signer Independent Isolated Sign Language Recognition |
| Iterative Refinement of Possibility Distributions by | learning | for Pixel-Based Classification |
| Iterative Relaxed Collaborative Representation With Adaptive Weights | learning | for Noise Robust Face Hallucination |
| Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation | learning | |
| Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement | learning | |
| Iterative Soft Shrinkage | learning | for Efficient Image Super-Resolution |
| Iterative sparse and deep | learning | for accurate diagnosis of Alzheimer's disease |
| Iterative Training Sampling Coupled With Active | learning | for Semisupervised Spectral-Spatial Hyperspectral Image Classification |
| Iterative transductive | learning | for alpha matting |
| Iterative transductive | learning | for automatic image segmentation and matting with RGB-D data |
| Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement | learning | |
| ITM-CNN: | learning | the Inverse Tone Mapping from Low Dynamic Range Video to High Dynamic Range Displays Using Convolutional Neural Networks |
| iVS Dataset and ezLabel: A Dataset and a Data Annotation Tool for Deep | learning | Based ADAS Applications |
| iVS-Net: | learning | Human View Synthesis from Internet Videos |
| Jackknife-Inspired Deep | learning | Approach to Subject-Independent Classification of EEG, A |
| JDSR-GAN: Constructing an Efficient Joint | learning | Network for Masked Face Super-Resolution |
| JECL: Joint Embedding and Cluster | learning | for Image-Text Pairs |
| Jensen-Shannon Boosting | learning | for Object Recognition |
| JFLN: Joint Feature | learning | Network for 2D sketch based 3D shape retrieval |
| Jigsaw Clustering for Unsupervised Visual Representation | learning | |
| Jigsaw-ViT: | learning | jigsaw puzzles in vision transformer |
| JigsawGAN: Auxiliary | learning | for Solving Jigsaw Puzzles with Generative Adversarial Networks |
| JL-DCF: Joint | learning | and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection |
| JMLNet: Joint Multi-Label | learning | Network for Weakly Supervised Semantic Segmentation in Aerial Images |
| JoinABLe: | learning | Bottom-up Assembly of Parametric CAD Joints |
| Joint Acne Image Grading and Counting via Label Distribution | learning | |
| Joint Active | learning | with Feature Selection via CUR Matrix Decomposition |
| Joint adaptive manifold and embedding | learning | for unsupervised feature selection |
| Joint Air-Ground Distributed Federated | learning | for Intelligent Transportation Systems |
| Joint and Progressive | learning | from High-Dimensional Data for Multi-label Classification |
| Joint Anomaly Detection and Inpainting for Microscopy Images Via Deep Self-Supervised | learning | |
| Joint Appearance and Motion | learning | for Efficient Rolling Shutter Correction |
| Joint attribute chain prediction for zero-shot | learning | |
| Joint Auction-Coalition Formation Framework for Communication-Efficient Federated | learning | in UAV-Enabled Internet of Vehicles |
| Joint Bilateral | learning | for Real-time Universal Photorealistic Style Transfer |
| Joint Binary Classifier | learning | for ECOC-Based Multi-Class Classification |
| Joint Channel Reliability and Correlation Filters | learning | for Visual Tracking |
| Joint Characterization of Sentinel-2 Reflectance: Insights from Manifold | learning | |
| Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task | learning | Approach |
| Joint Clustering and Classification for Multiple Instance | learning | |
| Joint Co-Attention and Co-Reconstruction Representation | learning | for One-Shot Object Detection |
| Joint Collaborative Big Spectrum Data Sensing and Reinforcement | learning | Based Dynamic Spectrum Access for Cognitive Internet of Vehicles |
| Joint Collaborative Representation With Multitask | learning | for Hyperspectral Image Classification |
| Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement | learning | -Based Traffic Control System |
| Joint Conditional Random Field of multiple views with online | learning | for image-based rendering |
| Joint Content-Adaptive Dictionary | learning | And Sparse Selective Extrapolation For Cross-Spectral Image Reconstruction |
| Joint CRF and Locality-Consistent Dictionary | learning | for Semantic Segmentation |
| Joint cross-domain classification and subspace | learning | for unsupervised adaptation |
| Joint Deep | learning | and Information Propagation for Fast 3D City Modeling |
| Joint Deep | learning | for Pedestrian Detection |
| joint deep | learning | network of point clouds and multiple views for roadside object classification from lidar point clouds, A |
| Joint Deep | learning | of Facial Expression Synthesis and Recognition |
| Joint deep semantic embedding and metric | learning | for person re-identification |
| Joint Denoising | learning | Model for Weight Update Space-Time Diversity Method, A |
| Joint Detection and Identification Feature | learning | for Person Search |
| Joint Detection and Reconstruction of Weak Spectral Lines under Non-Gaussian Impulsive Noise with Deep | learning | |
| Joint Detection and Recounting of Abnormal Events by | learning | Deep Generic Knowledge |
| Joint Dictionary and Classifier | learning | for Categorization of Images Using a Max-margin Framework |
| Joint dictionary and metric | learning | for person re-identification |
| joint dictionary | learning | and regression model for intensity estimation of facial AUs, A |
| Joint Dictionary | learning | for Multispectral Change Detection |
| Joint Discriminative and Generative | learning | for Person Re-Identification |
| Joint Discriminative Bayesian Dictionary and Classifier | learning | |
| Joint Discriminative Dictionary and Classifier | learning | for ALS Point Cloud Classification |
| Joint Discriminative Dimensionality Reduction and Dictionary | learning | for Face Recognition |
| Joint discriminative feature | learning | for multimodal finger recognition |
| Joint Discriminative Latent Subspace | learning | for Image Classification |
| Joint discriminative representation | learning | for end-to-end person search |
| Joint Distribution Alignment via Adversarial | learning | for Domain Adaptive Object Detection |
| Joint dynamic sparse | learning | and its application to multi-view face recognition |
| Joint entropy based | learning | model for image retrieval |
| Joint Evaluation of Dictionary | learning | and Feature Encoding for Action Recognition, A |
| Joint Expression Synthesis and Representation | learning | for Facial Expression Recognition |
| Joint face completion and super-resolution using multi-scale feature relation | learning | |
| Joint Facial Action Unit Detection and Feature Fusion: A Multi-Conditional | learning | Approach |
| Joint Feature Generation and Open-set Prototype | learning | for generalized zero-shot open-set classification |
| Joint Feature | learning | and Relation Modeling for Tracking: A One-Stream Framework |
| Joint Feature Selection and Classification for Multilabel | learning | |
| Joint Feature Selection and Subspace | learning | for Cross-Modal Retrieval |
| Joint Feature Selection with Low-rank Dictionary | learning | |
| Joint Generative and Contrastive | learning | for Unsupervised Person Re-identification |
| Joint Generative Model for Zero-Shot | learning | , A |
| Joint Geoeffectiveness and Arrival Time Prediction of CMEs by a Unified Deep | learning | Framework |
| Joint Graph | learning | and Matching for Semantic Feature Correspondence |
| Joint graph optimization and projection | learning | for dimensionality reduction |
| Joint graph regularized dictionary | learning | and sparse ranking for multi-modal multi-shot person re-identification |
| Joint Gravity and Magnetic Inversion Using CNNs' Deep | learning | |
| Joint Group Feature Selection and Discriminative Filter | learning | for Robust Visual Object Tracking |
| Joint Heterogeneous Feature | learning | and Distribution Alignment for 2D Image-Based 3D Object Retrieval |
| Joint Hierarchical Category Structure | learning | and Large-Scale Image Classification |
| Joint hierarchical | learning | for efficient multi-class object detection |
| Joint hypergraph | learning | and sparse regression for feature selection |
| Joint Hypergraph | learning | for Tag-Based Image Retrieval |
| Joint identification-verification for person re-identification: A four stream deep | learning | approach with improved quartet loss function |
| Joint Inductive and Transductive | learning | for Video Object Segmentation |
| Joint Inference of Objects and Scenes With Efficient | learning | of Text-Object-Scene Relations |
| Joint Input and Output Space | learning | for Multi-Label Image Classification |
| Joint Intensity and Spatial Metric | learning | for Robust Gait Recognition |
| Joint Intensity Classification and Specimen Segmentation on HEp-2 Images: a Deep | learning | Approach |
| Joint intermodal and intramodal correlation preservation for semi-paired | learning | |
| Joint Inversion of Audio-Magnetotelluric and Seismic Travel Time Data With Deep | learning | Constraint |
| Joint Kernel | learning | for Supervised Image Segmentation |
| Joint label-interaction | learning | for human action recognition |
| Joint Laplacian feature weights | learning | |
| Joint | learning | and dictionary construction for pattern recognition |
| Joint | learning | and weighting of visual vocabulary for bag-of-feature based tissue classification |
| joint | learning | based face hallucination approach for low quality face image, A |
| Joint | learning | dictionary and discriminative features for high dimensional data |
| Joint | learning | for Attribute-Consistent Person Re-Identification |
| Joint | learning | for side information and correlation model based on linear regression model in distributed video coding |
| Joint | learning | for Single-Image Super-Resolution via a Coupled Constraint |
| Joint | learning | for voice based disease detection |
| joint | learning | framework for attribute models and object descriptions, A |
| Joint | learning | from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps |
| Joint | learning | hash codes and distance metric for visual tracking |
| Joint | learning | in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition |
| Joint | learning | of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis |
| Joint | learning | of 3D Shape Retrieval and Deformation |
| Joint | learning | of Blind Video Denoising and Optical Flow Estimation |
| Joint | learning | of Contour and Structure for Boundary-Preserved Building Extraction |
| Joint | learning | of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association |
| Joint | learning | of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers |
| Joint | learning | of frequency and spatial domains for dense image prediction |
| Joint | learning | of Full-Structure Noise in Hierarchical Bayesian Regression Models |
| Joint | learning | of Fully Connected Network Models in Lifting Based Image Coders |
| Joint | learning | of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information |
| Joint | learning | of Image Deblurring and Depth Estimation Through Adversarial Multi-Task Network |
| Joint | learning | of image detail and transmission map for single image dehazing |
| Joint | learning | of images and videos with a single Vision Transformer |
| Joint | learning | of Intrinsic Images and Semantic Segmentation |
| Joint | learning | of Labels and Distance Metric |
| Joint | learning | of Latent Similarity and Local Embedding for Multi-View Clustering |
| Joint | learning | of Local and Global Context for Temporal Action Proposal Generation |
| Joint | learning | of Localized Representations from Medical Images and Reports |
| Joint | learning | of Multiple Longitudinal Prediction Models by Exploring Internal Relations |
| Joint | learning | of Multiple Regressors for Single Image Super-Resolution |
| Joint | learning | of Object and Action Detectors |
| Joint | learning | of Object Detection and Pose Estimation using Augmented Autoencoder |
| Joint | learning | of Saliency Detection and Weakly Supervised Semantic Segmentation |
| Joint | learning | of Salient Object Detection, Depth Estimation and Contour Extraction |
| Joint | learning | of Self-Representation and Indicator for Multi-View Image Clustering |
| Joint | learning | of Semantic Alignment and Object Landmark Detection |
| Joint | learning | of Semantic and Latent Attributes |
| Joint | learning | of Single-Image and Cross-Image Representations for Person Re-identification |
| Joint | learning | of Social Groups, Individuals Action and Sub-group Activities in Videos |
| Joint | learning | of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing |
| Joint | learning | of visual and spatial features for edit propagation from a single image |
| Joint | learning | of visual attributes, object classes and visual saliency |
| Joint | learning | on the Hierarchy Representation for Fine-Grained Human Action Recognition |
| Joint | learning | sparsifying linear transformation for low-resolution image synthesis and recognition |
| Joint | learning | Spatial-Temporal Attention Correlation Filters for Aerial Tracking |
| Joint | learning | with diverse knowledge for re-identification |
| Joint | learning | with Group Relation and Individual Action |
| Joint | learning | -Based Method for Multi-view Depth Map Super Resolution, A |
| Joint Local and Global Deep Metric | learning | Method for Caricature Recognition, A |
| Joint Local and Global Information | learning | With Single Apex Frame Detection for Micro-Expression Recognition |
| Joint local and statistical discriminant | learning | via feature alignment |
| Joint Local-Global Discriminative Subspace Transfer | learning | for Facial Expression Recognition |
| Joint Luminance and Chrominance | learning | for Underwater Image Enhancement |
| Joint Machine | learning | and Game Theory for Rate Control in High Efficiency Video Coding |
| Joint medical image fusion, denoising and enhancement via discriminative low-rank sparse dictionaries | learning | |
| Joint multi-label | learning | and feature extraction for temporal link prediction |
| Joint multi-label multi-instance | learning | for image classification |
| Joint Multilabel Classification With Community-Aware Label Graph | learning | |
| Joint Multiview Fused ELM | learning | with Propagation Filter for Hyperspectral Image Classification |
| Joint Negative and Positive | learning | for Noisy Labels |
| Joint Noise-Tolerant | learning | and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification |
| Joint object recognition and pose estimation using multiple-anchor triplet | learning | of canonical plane |
| Joint Optimal Quantization and Aggregation of Federated | learning | Scheme in VANETs |
| Joint Optimization Framework for | learning | with Noisy Labels |
| Joint optimization of manifold | learning | and sparse representations |
| Joint Pairwise | learning | and Image Clustering Based on a Siamese CNN |
| Joint patch and instance discrimination | learning | for unsupervised person re-identification |
| Joint Patch and Multi-label | learning | for Facial Action Unit and Holistic Expression Recognition |
| Joint patch and multi-label | learning | for facial action unit detection |
| Joint Pose Estimator and Feature | learning | for Object Detection |
| Joint Posterior Probability Active | learning | for Hyperspectral Image Classification |
| Joint probability estimation of attribute chain for zero-shot | learning | |
| Joint prototype and metric | learning | for image set classification: Application to video face identification |
| Joint Quantization and Error Diffusion of Color Images Using Competitive | learning | |
| Joint Rate-Distortion Optimization for Video Coding and | learning | -Based In-Loop Filtering |
| Joint Registration and Representation | learning | for Unconstrained Face Identification |
| Joint Reinforcement and Contrastive | learning | for Unsupervised Video Summarization |
| Joint representation and classifier | learning | for long-tailed image classification |
| Joint Representation and Estimator | learning | for Facial Action Unit Intensity Estimation |
| Joint Representation and Truncated Inference | learning | for Correlation Filter Based Tracking |
| Joint Representation | learning | and Feature Modeling Approach for One-class Recognition, A |
| Joint Representation | learning | and Keypoint Detection for Cross-View Geo-Localization |
| Joint Representation | learning | and Novel Category Discovery on Single- and Multi-Modal Data |
| Joint representation | learning | for text and 3D point cloud |
| Joint representation | learning | of appearance and motion for abnormal event detection |
| Joint Representative Selection and Feature | learning | : A Semi-Supervised Approach |
| Joint Residual | learning | for Underwater Image Enhancement |
| Joint Sample Enhancement and Instance-Sensitive Feature | learning | for Efficient Person Search |
| Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement | learning | Approach |
| Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer | learning | |
| Joint semantic-geometric | learning | for polygonal building segmentation from high-resolution remote sensing images |
| Joint Semi-supervised and Active | learning | for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling |
| Joint Semi-supervised | learning | and Re-ranking for Vehicle Re-identification |
| Joint semi-supervised | learning | of Hidden Conditional Random Fields and Hidden Markov Models |
| Joint Sequence | learning | and Cross-Modality Convolution for 3D Biomedical Segmentation |
| Joint Sketch-attribute | learning | for Fine-grained Face Synthesis |
| Joint Sparse and Low-Rank Multi-Task | learning | with Extended Multi-Attribute Profile for Hyperspectral Target Detection |
| Joint Sparse and Low-Rank Multitask | learning | with Laplacian-Like Regularization for Hyperspectral Classification |
| Joint Sparse | learning | for 3-D Facial Expression Generation |
| Joint Sparse | learning | With Nonlocal and Local Image Priors for Image Error Concealment |
| Joint Sparse Representation and Multitask | learning | for Hyperspectral Target Detection |
| Joint spatial and temporal structure | learning | for task based control |
| Joint Specifics and Consistency Hash | learning | for Large-Scale Cross-Modal Retrieval |
| Joint Subspace | learning | for View-Invariant Gait Recognition |
| Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary | learning | |
| Joint super-resolution and compression artifact reduction based on dual- | learning | |
| Joint Supervised and Self-Supervised | learning | for 3D Real World Challenges |
| Joint Syntax Representation | learning | and Visual Cue Translation for Video Captioning |
| Joint Task-Recursive | learning | for RGB-D Scene Understanding |
| Joint Task-Recursive | learning | for Semantic Segmentation and Depth Estimation |
| Joint temporal context exploitation and active | learning | for video segmentation |
| Joint trajectory tracking and recognition based on bi-directional nonlinear | learning | |
| Joint Transformation | learning | via the L2,1-Norm Metric for Robust Graph Matching |
| Joint Unsupervised | learning | of Deep Representations and Image Clusters |
| Joint Unsupervised | learning | of Optical Flow and Egomotion with Bi-Level optimization |
| Joint Visual and Audio | learning | for Video Highlight Detection |
| Joint visual denoising and classification using deep | learning | |
| Joint Visual-Temporal Embedding for Unsupervised | learning | of Actions in Untrimmed Sequences |
| Joint weakly and fully supervised | learning | for surface defect segmentation from images |
| Joint Weakly and Semi-Supervised Deep | learning | for Localization and Classification of Masses in Breast Ultrasound Images |
| Joint Workshop on Visual and Contextual | learning | from Annotated Images and Videos, and Visual Scene Understanding |
| Joint-Confidence-Guided Multi-Task | learning | for 3D Reconstruction and Understanding From Monocular Camera |
| Jointly discriminative projection and dictionary | learning | for domain adaptive collaborative representation-based classification |
| Jointly Informative and Manifold Structure Representative Sampling Based Active | learning | for Remote Sensing Image Classification |
| Jointly | learning | Agent and Lane Information for Multimodal Trajectory Prediction |
| Jointly | learning | Band Selection and Filter Array Design for Hyperspectral Imaging |
| Jointly | learning | Commonality and Specificity Dictionaries for Person Re-Identification |
| Jointly | learning | compact multi-view hash codes for few-shot FKP recognition |
| Jointly | learning | Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection |
| Jointly | learning | Dictionaries and Subspace Structure for Video-Based Face Recognition |
| Jointly | learning | Energy Expenditures and Activities Using Egocentric Multimodal Signals |
| Jointly | learning | Heterogeneous Features for RGB-D Activity Recognition |
| Jointly | learning | Kernel Representation Tensor and Affinity Matrix for Multi-View Clustering |
| Jointly | learning | Multiple Curvature Descriptor for 3D Palmprint Recognition |
| Jointly | learning | Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification |
| Jointly | learning | the Attributes and Composition of Shots for Boundary Detection in Videos |
| Jointly | learning | Visual Motion and Confidence from Local Patches in Event Cameras |
| Jointly | learning | Visual Poses and Pose Lexicon for Semantic Action Recognition |
| Jointly | learning | Visually Correlated Dictionaries for Large-Scale Visual Recognition Applications |
| jointly local structured sparse deep | learning | network for face recognition, A |
| Jointly sparse fast hashing with orthogonal | learning | for large-scale image retrieval |
| JOTR: 3D Joint Contrastive | learning | with Transformers for Occluded Human Mesh Recovery |
| Journal of Machine | learning | Research |
| JoyPose: Jointly | learning | evolutionary data augmentation and anatomy-aware global-local representation for 3D human pose estimation |
| JPEG Artifacts Removal via Contrastive Representation | learning | |
| JPEG Pleno | learning | -Based Point Cloud Coding: A Performance Analysis |
| JRA-Net: Joint representation attention network for correspondence | learning | |
| JSL3d: Joint subspace | learning | with implicit structure supervision for 3D pose estimation |
| JSPNet: | learning | joint semantic and instance segmentation of point clouds via feature self-similarity and cross-task probability |
| Just a Few Points are All You Need for Multi-view Stereo: A Novel Semi-supervised | learning | Method for Multi-view Stereo |
| Just a Glimpse: Rethinking Temporal Information for Video Continual | learning | |
| Just Ask: | learning | to Answer Questions from Millions of Narrated Videos |
| Just Noticeable Distortion Profile Inference: A Patch-Level Structural Visibility | learning | Approach |
| K-CPD: | learning | of overcomplete dictionaries for tensor sparse coding |
| K-Graphs: An Algorithm for Graph Signal Clustering and Multiple Graph | learning | |
| K-Means for noise-insensitive multi-dimensional feature | learning | |
| K-Means Hashing: An Affinity-Preserving Quantization Method for | learning | Binary Compact Codes |
| K-Shot Contrastive | learning | of Visual Features With Multiple Instance Augmentations |
| k-Space Deep | learning | for Accelerated MRI |
| K-space refinement in deep | learning | MR reconstruction via regularizing scan specific SPIRiT-based self consistency |
| K-SVD dictionary | learning | using a fast OMP with applications |
| K-SVD Meets Transform | learning | : Transform K-SVD |
| K-WEB: Nonnegative dictionary | learning | for sparse image representations |
| KD-MVS: Knowledge Distillation Based Self-supervised | learning | for Multi-View Stereo |
| Keep it accurate and diverse: Enhancing action recognition performance by ensemble | learning | |
| KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by | learning | Efficient H-CNN Regressors |
| KEPLER: Simultaneous estimation of keypoints and 3D pose of unconstrained faces in a unified framework by | learning | efficient H-CNN regressors |
| Kernel alignment for unsupervised transfer | learning | |
| Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature | learning | |
| Kernel dictionary | learning | based discriminant analysis |
| Kernel Distance Metric | learning | Using Pairwise Constraints for Person Re-Identification |
| Kernel embedding transformation | learning | for graph matching |
| Kernel generalized Gaussian and robust statistical | learning | for abnormality detection in medical images |
| Kernel Joint Sparse Representation Based on Self-Paced | learning | for Hyperspectral Image Classification |
| Kernel | learning | Algorithms for Face Recognition |
| Kernel | learning | for Dynamic Texture Synthesis |
| Kernel | learning | for Extrinsic Classification of Manifold Features |
| Kernel Low-Rank Multitask | learning | in Variational Mode Decomposition Domain for Multi-/Hyperspectral Classification |
| Kernel Machine Based | learning | for Multi-View Face Detection and Pose Estimation |
| Kernel propagation strategy: A novel out-of-sample propagation projection for subspace | learning | |
| Kernel Relative-prototype Spectral Filtering for Few-Shot | learning | |
| Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance | learning | |
| Kernel Sparse Multitask | learning | for Hyperspectral Image Classification With Empirical Mode Decomposition and Morphological Wavelet-Based Features |
| Kernel transform | learning | |
| Kernel-based distance metric | learning | for content-based image retrieval |
| Kernel-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer | learning | |
| Kernel-Based Generalized Median Computation for Consensus | learning | |
| Kernel-Based | learning | From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging |
| Kernel-based | learning | of cast shadows from a physical model of light sources and surfaces for low-level segmentation |
| Kernel-based transition probability toward similarity measure for semi-supervised | learning | |
| Kernel-Weighted Graph Convolutional Network: A Deep | learning | Approach for Traffic Forecasting |
| kernelHMM: | learning | Kernel Combinations in Structured Output Domains, The |
| Kernelized Multiview Subspace Analysis By Self-Weighted | learning | |
| Kernelized Saliency-Based Person Re-Identification Through Multiple Metric | learning | |
| Kernelized structural SVM | learning | for supervised object segmentation |
| Kernelized support vector machine with deep | learning | : An efficient approach for extreme multiclass dataset |
| Kernelized temporal locality | learning | for real-time visual tracking |
| Kernelized View Adaptive Subspace | learning | for Person Re-identification |
| Kernels for Generalized Multiple-Instance | learning | |
| Key point detection method for fish size measurement based on deep | learning | |
| Key protected classification for collaborative | learning | |
| Key techniques for classification of thorax diseases based on deep | learning | |
| Keynote lecture 2: Riemannian manifolds, kernels and | learning | |
| Keynotes: Deep | learning | for visual understanding: Effectiveness vs. efficiency |
| Keypoint Signatures for Fast | learning | and Recognition |
| Keypoint-graph-driven | learning | framework for object pose estimation |
| Keypoints Dictionary | learning | for Fast and Robust Alignment |
| Keywords to visual categories: Multiple-instance | learning | for weakly supervised object categorization |
| KFNet: | learning | Temporal Camera Relocalization Using Kalman Filtering |
| KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot | learning | |
| Kick Back & Relax: | learning | to Reconstruct the World by Watching SlowTV |
| Kidney image classification using transfer | learning | with convolutional neural network |
| Kinship Identification Through Joint | learning | Using Kinship Verification Ensembles |
| Kinship Representation | learning | with Face Componential Relation |
| Kinship Verification Based on Cross-Generation Feature Interaction | learning | |
| Kinship verification based on status-aware projection | learning | |
| Kinship Verification on Families in the Wild with Marginalized Denoising Metric | learning | |
| Kinship Verification through Transfer | learning | |
| Kinship verification using multi-level dictionary pair | learning | for multiple resolution images |
| Kinship verification using multiview hybrid distance | learning | |
| Kinship verification using neighborhood repulsed correlation metric | learning | |
| KloudNet: Deep | learning | for Sky Image Analysis and Irradiance Forecasting |
| kNN-Based Feature | learning | Network for Semantic Segmentation of Point Cloud Data |
| Knockoffs-SPR: Clean Sample Selection in | learning | With Noisy Labels |
| Knot detection in X-ray images of wood planks using dictionary | learning | |
| Know You at One Glance: A Compact Vector Representation for Low-Shot | learning | |
| Knowing My Village from the Sky: A Collaborative Spatial | learning | Framework to Integrate Spatial Knowledge of Stakeholders in Achieving Sustainable Development Goals |
| Knowing Verb From Object: Retagging With Transfer | learning | on Verb-Object Concept Images |
| Knowing Where I Am: Exploiting Multi-Task | learning | for Multi-view Indoor Image-based Localization |
| Knowledge aggregation networks for class incremental | learning | |
| Knowledge Capture and Replay for Continual | learning | |
| Knowledge Conditioned Variational | learning | for One-Class Facial Expression Recognition |
| Knowledge Distillation and Student-Teacher | learning | for Visual Intelligence: A Review and New Outlooks |
| Knowledge distillation for incremental | learning | in semantic segmentation |
| Knowledge Evolution | learning | : A Cost-Free Weakly Supervised Semantic Segmentation Framework for High-Resolution Land Cover Classification |
| Knowledge Graph Representation | learning | -Based Forest Fire Prediction |
| Knowledge Guided Deep | learning | for General-purpose Computer Vision Applications |
| Knowledge guided | learning | : Open world egocentric action recognition with zero supervision |
| Knowledge points navigation based on three-way concept lattice for autonomous | learning | |
| Knowledge Restore and Transfer for Multi-Label Class-Incremental | learning | |
| Knowledge transduction for cross-domain few-shot | learning | |
| Knowledge Transfer Graph for Deep Collaborative | learning | |
| Knowledge-Augmented Contrastive | learning | for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop |
| Knowledge-Aware Federated Active | learning | with Non-IID Data |
| Knowledge-based Collaborative Deep | learning | for Benign-Malignant Lung Nodule Classification on Chest CT |
| Knowledge-Based Representation | learning | for Nucleus Instance Classification From Histopathological Images |
| Knowledge-Based Supervised | learning | Methods in a Classical Problem of Video Object Tracking |
| Knowledge-Directed Vision: Control, | learning | , and Integration |
| Knowledge-Directed Vision: Control, | learning | , and Integration: Prolog |
| Knowledge-Driven GeoAI: Integrating Spatial Knowledge into Multi-Scale Deep | learning | for Mars Crater Detection |
| Knowledge-Driven Self-Supervised Representation | learning | for Facial Action Unit Recognition |
| Knowledge-Enhanced Causal Reinforcement | learning | Model for Interactive Recommendation |
| Knowledge-Guided Multi-Label Few-Shot | learning | for General Image Recognition |
| Knowledge-Spreader: | learning | Semi-Supervised Facial Action Dynamics by Consistifying Knowledge Granularity |
| Known Operator | learning | Enables Constrained Projection Geometry Conversion: Parallel to Cone-Beam for Hybrid MR/X-Ray Imaging |
| KonIQ-10k: An Ecologically Valid Database for Deep | learning | of Blind Image Quality Assessment |
| KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask | learning | |
| KTN: Knowledge Transfer Network for | learning | Multiperson 2D-3D Correspondences |
| KTransGAN: Variational Inference-Based Knowledge Transfer for Unsupervised Conditional Generative | learning | |
| L-CNN: Exploiting labeling latency in a CNN | learning | framework |
| L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation | learning | |
| L-GEM based robust | learning | against poisoning attack |
| L0 Norm Based Dictionary | learning | by Proximal Methods with Global Convergence |
| L1 regularized projection pursuit for additive model | learning | |
| L2,1-l1 regularized nonlinear multi-task representation | learning | based cognitive performance prediction of Alzheimer's disease |
| L2-Net: Deep | learning | of Discriminative Patch Descriptor in Euclidean Space |
| L2-Norm metric | learning | applied to unconstrained face pair-matching |
| L2M-GAN: | learning | to Manipulate Latent Space Semantics for Facial Attribute Editing |
| L3-Net: Towards | learning | Based LiDAR Localization for Autonomous Driving |
| LA-Net: Landmark-Aware | learning | for Reliable Facial Expression Recognition under Label Noise |
| Label Cleaning Multiple Instance | learning | : Refining Coarse Annotations on Single Whole-Slide Images |
| Label Consistent K-SVD: | learning | a Discriminative Dictionary for Recognition |
| Label Consistent Multiclass Discriminative Dictionary | learning | for MRI Segmentation |
| Label consistent recursive least squares dictionary | learning | for image classification |
| Label Correlation Propagation for Semi-supervised Multi-label | learning | |
| Label Distribution | learning | on Auxiliary Label Space Graphs for Facial Expression Recognition |
| label distribution manifold | learning | algorithm, A |
| Label Distribution-Based Facial Attractiveness Computation by Deep Residual | learning | |
| Label Efficient Semi-Supervised | learning | via Graph Filtering |
| Label Information Guided Graph Construction for Semi-Supervised | learning | |
| Label Propagation for Deep Semi-Supervised | learning | |
| Label propagation in complex video sequences using semi-supervised | learning | |
| Label propagation through minimax paths for scalable semi-supervised | learning | |
| Label Propagation with Augmented Anchors: A Simple Semi-supervised | learning | Baseline for Unsupervised Domain Adaptation |
| Label-efficient Deep | learning | -based Semantic Segmentation of Building Point Clouds At Lod3 Level |
| Label-efficient | learning | on Point Clouds Using Approximate Convex Decompositions |
| Label-Efficient Self-Supervised Federated | learning | for Tackling Data Heterogeneity in Medical Imaging |
| Label-Free Event-based Object Recognition via Joint | learning | with Image Reconstruction from Events |
| Label-Noise | learning | with Intrinsically Long-Tailed Data |
| label-noise robust active | learning | sample collection method for multi-temporal urban land-cover classification and change analysis, A |
| Label-similarity Curriculum | learning | |
| Label2Label: A Language Modeling Framework for Multi-attribute | learning | |
| Labeling Examples That Matter: Relevance-Based Active | learning | with Gaussian Processes |
| Labeling Images by Integrating Sparse Multiple Distance | learning | and Semantic Context Modeling |
| LabelRS: An Automated Toolbox to Make Deep | learning | Samples from Remote Sensing Images |
| Laboratory and UAV-Based Identification and Classification of Tomato Yellow Leaf Curl, Bacterial Spot, and Target Spot Diseases in Tomato Utilizing Hyperspectral Imaging and Machine | learning | |
| Laboratory Research on Polarized Optical Properties of Saline-Alkaline Soil Based on Semi-Empirical Models and Machine | learning | Methods |
| Ladder Siamese Network: A Method and Insights for Multi-Level Self-Supervised | learning | |
| LaFea: | learning | Latent Representation Beyond Feature for Universal Domain Adaptation |
| Lambertian-based adversarial attacks on deep- | learning | -based underwater side-scan sonar image classification |
| LAMV: | learning | to Align and Match Videos with Kernelized Temporal Layers |
| Land Cover Change Analysis Using | learning | , Neural Nets |
| Land Cover Change Detection from High-Resolution Remote Sensing Imagery Using Multitemporal Deep Feature Collaborative | learning | and a Semi-supervised Chan-Vese Model |
| Land cover change detection in Satellite Image Time Series using an active | learning | method |
| Land Cover Classification in Mangrove Ecosystems Based on VHR Satellite Data and Machine | learning | : An Upscaling Approach |
| Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep | learning | Fusion Network, A |
| Land Cover Mapping Using Sentinel-1 Time-Series Data and Machine- | learning | Classifiers in Agricultural Sub-Saharan Landscape |
| Land Subsidence Monitoring and Building Risk Assessment Using InSAR and Machine | learning | in a Loess Plateau City: A Case Study of Lanzhou, China |
| Land Subsidence Prediction Induced by Multiple Factors Using Machine | learning | Method |
| Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine | learning | Algorithm Based on Time-Series InSAR Data |
| Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine | learning | Algorithms |
| Land Use and Land Cover Classification in the Northern Region of Mozambique Based on Landsat Time Series and Machine | learning | |
| Land Use and Land Cover Mapping Using Deep | learning | Based Segmentation Approaches and VHR Worldview-3 Images |
| Land Use and Land Cover Mapping Using RapidEye Imagery Based on a Novel Band Attention Deep | learning | Method in the Three Gorges Reservoir Area |
| Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised | learning | |
| Land-Use Land-Cover Classification by Machine | learning | Classifiers for Satellite Observations: A Review |
| Land-Use/Land-Cover change detection based on a Siamese global | learning | framework for high spatial resolution remote sensing imagery |
| Landmark Image Retrieval by Jointing Feature Refinement and Multimodal Classifier | learning | |
| Landmark-Based Shape Encoding and Sparse-Dictionary | learning | in the Continuous Domain |
| Landscape | learning | for Neural Network Inversion |
| Landscape Similarity Analysis Using Texture Encoded Deep- | learning | Features on Unclassified Remote Sensing Imagery |
| Landslide Detection from Open Satellite Imagery Using Distant Domain Transfer | learning | |
| Landslide Detection Using Multi-Scale Image Segmentation and Different Machine | learning | Models in the Higher Himalayas |
| Landslide Displacement Prediction Based on a Two-Stage Combined Deep | learning | Model under Small Sample Condition |
| Landslide Dynamic Susceptibility Mapping Base on Machine | learning | and the PS-InSAR Coupling Model |
| Landslide Segmentation with Deep | learning | : Evaluating Model Generalization in Rainfall-Induced Landslides in Brazil |
| Landslide Susceptibility Assessment at Mila Basin (Algeria): A Comparative Assessment of Prediction Capability of Advanced Machine | learning | Methods |
| Landslide Susceptibility Assessment Based on Different Machine | learning | Methods in Zhaoping County of Eastern Guangxi |
| Landslide Susceptibility Assessment Model Construction Using Typical Machine | learning | for the Three Gorges Reservoir Area in China |
| Landslide Susceptibility Evaluation and Management Using Different Machine | learning | Methods in The Gallicash River Watershed, Iran |
| Landslide Susceptibility Mapping and Driving Mechanisms in a Vulnerable Region Based on Multiple Machine | learning | Models |
| Landslide Susceptibility Mapping in a Mountainous Area Using Machine | learning | Algorithms |
| Landslide Susceptibility Mapping Using Machine | learning | : A Danish Case Study |
| Landslide Susceptibility Mapping Using Machine | learning | : A Literature Survey |
| Landslide Susceptibility Mapping: Machine and Ensemble | learning | Based on Remote Sensing Big Data |
| Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine | learning | Feature Transformation |
| Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine | learning | Models |
| Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine- | learning | Models |
| Landslides Information Extraction Using Object-Oriented Image Analysis Paradigm Based on Deep | learning | and Transfer Learning |
| Landslides Information Extraction Using Object-Oriented Image Analysis Paradigm Based on Deep | learning | and Transfer Learning |
| Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian | learning | |
| Lane-changing decision method based Nash Q- | learning | with considering the interaction of surrounding vehicles |
| Lane-level short-term travel speed prediction for urban expressways: An attentive spatio-temporal deep | learning | approach |
| Lane-Level Traffic Speed Forecasting: A Novel Mixed Deep | learning | Model |
| Language and vision based person re-identification for surveillance systems using deep | learning | with LIP layers |
| Language identification of character images using machine | learning | techniques |
| Language independent unsupervised | learning | of short message service dialect |
| Language-Augmented Pixel Embedding for Generalized Zero-Shot | learning | |
| Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement | learning | Model |
| Language-Guided Navigation via Cross-Modal Grounding and Alternate Adversarial | learning | |
| Laplacian Margin Distribution Boosting for | learning | from Sparsely Labeled Data |
| Laplacian Regularized D-Optimal Design for Active | learning | and Its Application to Image Retrieval |
| Laplacian Support Vector Analysis for Subspace Discriminative | learning | |
| Laplacian Support Vector Machines with Multi-Kernel | learning | |
| Large Aerial Image Tie Point Matching in Real and Difficult Survey Areas via Deep | learning | Method |
| Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep | learning | , A |
| Large margin cost-sensitive | learning | of conditional random fields |
| Large Margin | learning | in Set-to-Set Similarity Comparison for Person Reidentification |
| Large margin | learning | of hierarchical semantic similarity for image classification |
| Large Margin Local Metric | learning | |
| Large Margin Multi-metric | learning | for Face and Kinship Verification in the Wild |
| Large Margin Multi-Modal Triplet Metric | learning | |
| Large margin relative distance | learning | for person re-identification |
| Large Margin Subspace | learning | for feature selection |
| Large Scale Application Response Time Measurement Using Image Recognition and Deep | learning | |
| Large Scale Fine-Grained Categorization and Domain-Specific Transfer | learning | |
| Large Scale Image Segmentation with Structured Loss Based Deep | learning | for Connectome Reconstruction |
| Large Scale Incremental | learning | |
| Large scale | learning | and recognition of faces in web videos |
| Large Scale | learning | of Active Shape Models |
| Large scale metric | learning | from equivalence constraints |
| Large Scale Multi-View RGBD Visual Affordance | learning | Dataset, A |
| Large Scale Online | learning | of Image Similarity through Ranking |
| Large Scale Systems, Web-Scale System, | learning | , Neural Nets |
| Large Scale Video Representation | learning | via Relational Graph Clustering |
| Large-Field Contextual Feature | learning | for Glass Detection |
| Large-Margin | learning | of Compact Binary Image Encodings |
| Large-Margin Multi-Modal Deep | learning | for RGB-D Object Recognition |
| Large-Margin Predictive Latent Subspace | learning | for Multiview Data Analysis |
| Large-margin representation | learning | for texture classification |
| Large-Scale Active | learning | with Approximations of Expected Model Output Changes |
| Large-scale and adaptive service composition based on deep reinforcement | learning | |
| Large-Scale Bisample | learning | on ID Versus Spot Face Recognition |
| Large-scale continual | learning | for ancient Chinese character recognition |
| Large-Scale Crop Mapping Based on Machine | learning | and Parallel Computation with Grids |
| Large-scale Cross-domain Few-shot | learning | |
| Large-Scale Deep | learning | Based Binary and Semantic Change Detection in Ultra High Resolution Remote Sensing Imagery: From Benchmark Datasets to Urban Application |
| Large-Scale Deep- | learning | Approach for Multi-Temporal Aqua and Salt-Culture Mapping, A |
| Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep | learning | |
| Large-scale Dictionary | learning | for Local Coordinate Coding |
| Large-Scale Distance Metric | learning | with Uncertainty |
| Large-scale Few-shot | learning | via Multi-modal Knowledge Discovery |
| Large-Scale Few-Shot | learning | : Knowledge Transfer With Class Hierarchy |
| Large-Scale Image Annotation by Efficient and Robust Kernel Metric | learning | |
| Large-scale | learning | for media understanding |
| Large-scale | learning | of Sign Language by Watching TV (Using Co-occurrences) |
| Large-scale | learning | with SVM and Convolutional for Generic Object Categorization |
| Large-Scale Live Active | learning | : Training Object Detectors with Crawled Data and Crowds |
| Large-Scale Low-Rank Matrix | learning | with Nonconvex Regularizers |
| Large-Scale Maintenance and Rehabilitation Optimization for Multi-Lane Highway Asphalt Pavement: A Reinforcement | learning | Approach |
| Large-scale manifold | learning | |
| Large-Scale Manifold | learning | Approach for Brain Tumor Progression Prediction, A |
| Large-Scale Multi-View Clustering via Fast Essential Subspace Representation | learning | |
| Large-scale nonlinear facial image classification based on approximate kernel Extreme | learning | Machine |
| Large-Scale Product Classification via Spatial Attention Based CNN | learning | and Multi-class Regression |
| Large-Scale Rice Mapping Using Multi-Task Spatiotemporal Deep | learning | and Sentinel-1 SAR Time Series |
| Large-Scale River Mapping Using Contrastive | learning | and Multi-Source Satellite Imagery |
| Large-scale scene image categorisation with deep | learning | -based model |
| Large-Scale Sparse | learning | From Noisy Tags for Semantic Segmentation |
| Large-scale Study of Spatiotemporal Representation | learning | with a New Benchmark on Action Recognition, A |
| Large-Scale Study on Unsupervised Spatiotemporal Representation | learning | , A |
| Large-Scale Tag-Based Font Retrieval With Generative Feature | learning | |
| Large-Scale Video Hashing via Structure | learning | |
| Large-Scale Weakly Supervised Object Localization via Latent Category | learning | |
| Large-scaled detection of COVID-19 from X-ray using transfer | learning | |
| Large-to-small Image Resolution Asymmetry in Deep Metric | learning | |
| LaSO: Label-Set Operations Networks for Multi-Label Few-Shot | learning | |
| LASOR: | learning | Accurate 3D Human Pose and Shape via Synthetic Occlusion-Aware Data and Neural Mesh Rendering |
| Late fusion of deep | learning | and handcrafted visual features for biomedical image modality classification |
| Late Stopping: Avoiding Confidently | learning | from Mislabeled Examples |
| Latency-Energy Tradeoff in Connected Autonomous Vehicles: A Deep Reinforcement | learning | Scheme |
| Latent Correlation Representation | learning | for Brain Tumor Segmentation With Missing MRI Modalities |
| Latent Dictionary | learning | for Sparse Representation Based Classification |
| Latent Elastic-Net Transfer | learning | |
| Latent Fingerprint Image Quality Assessment Using Deep | learning | |
| Latent Fingerprint Image Segmentation Using Fractal Dimension Features and Weighted Extreme | learning | Machine Ensemble |
| Latent Generative Replay for Resource-Efficient Continual | learning | of Facial Expressions |
| Latent Heterogeneous Graph Network for Incomplete Multi-View | learning | |
| Latent hierarchical structural | learning | for object detection |
| Latent Linear Discriminant Analysis for feature extraction via Isometric Structural | learning | |
| Latent Low-Rank Projection | learning | with Graph Regularization for Feature Extraction of Hyperspectral Images |
| Latent max-margin metric | learning | for comparing video face tubes |
| Latent Max-Margin Multitask | learning | with Skelets for 3-D Action Recognition |
| Latent Multitask | learning | for View-Invariant Action Recognition |
| Latent Representation | learning | for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data |
| Latent Representation | learning | Model for Multi-Band Images Fusion via Low-Rank and Sparse Embedding |
| Latent semantic | learning | with structured sparse representation for human action recognition |
| Latent structural SVM with marginal probabilities for weakly labeled structured | learning | |
| Latent topic random fields: | learning | using a taxonomy of labels |
| Latent visual context | learning | for web image applications |
| LatentCLR: A Contrastive | learning | Approach for Unsupervised Discovery of Interpretable Directions |
| Lautum Regularization for Semi-Supervised Transfer | learning | |
| LAVA:Label-efficient Visual | learning | and Adaptation |
| Layer-Output Guided Complementary Attention | learning | for Image Defocus Blur Detection |
| Layer-wise Conditioning Analysis in Exploring the | learning | Dynamics of DNNs |
| Layer-wised Model Aggregation for Personalized Federated | learning | |
| Layered Local Prediction Network with Dynamic | learning | for Face Super-resolution |
| Layered representations for | learning | and inferring office activity from multiple sensory channels |
| Layerwise Optimization by Gradient Decomposition for Continual | learning | |
| Layout Analysis for Arabic Historical Document Images Using Machine | learning | |
| Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated | learning | |
| Lazy Approach to Long-Horizon Gradient-Based Meta- | learning | , A |
| Lazy texture selection based on active | learning | |
| LCrowdV: Generating Labeled Videos for Simulation-Based Crowd Behavior | learning | |
| LCS: | learning | Compressible Subspaces for Efficient, Adaptive, Real-Time Network Compression at Inference Time |
| LD-GAN: | learning | perturbations for adversarial defense based on GAN structure |
| LDA based compact and discriminative dictionary | learning | for sparse coding |
| LDF-Net: | learning | a Displacement Field Network for Face Recognition across Pose |
| LDSNE: | learning | Structural Network Embeddings by Encoding Local Distances |
| Leaders and Followers Identified by Emotional Mimicry During Collaborative | learning | : A Facial Expression Recognition Study on Emotional Valence |
| Leaf Area Index Estimation Algorithm for GF-5 Hyperspectral Data Based on Different Feature Selection and Machine | learning | Methods |
| Leaf Area Index Estimation of Pergola-Trained Vineyards in Arid Regions Based on UAV RGB and Multispectral Data Using Machine | learning | Methods |
| Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine | learning | Techniques |
| LeaF: | learning | Frames for 4D Point Cloud Sequence Understanding |
| LEAP: | learning | Articulated Occupancy of People |
| Learn Concepts in Multiple-Instance | learning | with Diverse Density Framework Using Supervised Mean Shift |
| Learn from each other to Classify better: Cross-layer mutual attention | learning | for fine-grained visual classification |
| Learn from Object Counting: Crowd Counting with Meta- | learning | |
| Learn from Others and Be Yourself in Heterogeneous Federated | learning | |
| Learn like a Pathologist: Curriculum | learning | by Annotator Agreement for Histopathology Image Classification |
| Learn More: Sub-Significant Area | learning | for Fine-Grained Visual Classification |
| Learn then match: A fast coarse-to-fine depth image-based indoor localization framework for dark environments via deep | learning | and keypoint-based geometry alignment |
| Learn to abstract via concept graph for weakly-supervised few-shot | learning | |
| Learn2Augment: | learning | to Composite Videos for Data Augmentation in Action Recognition |
| Learn2Dance: | learning | Statistical Music-to-Dance Mappings for Choreography Synthesis |
| Learn2Perturb: An End-to-End Feature Perturbation | learning | to Improve Adversarial Robustness |
| Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep | learning | |
| Learnable Distribution Calibration for Few-Shot Class-Incremental | learning | |
| Learnable dynamic margin in deep metric | learning | |
| Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature | learning | for Multiple Object Tracking |
| Learnable manifold alignment (LeMA): A semi-supervised cross-modality | learning | framework for land cover and land use classification |
| Learned Model Composition With Critical Sample Look-Ahead for Semi-Supervised | learning | on Small Sets of Labeled Samples |
| Learned Smartphone ISP on Mobile GPUS with Deep | learning | , Mobile Ai & AIM 2022 Challenge: Report |
| Learned Smartphone ISP on Mobile NPUs with Deep | learning | , Mobile AI 2021 Challenge: Report |
| Learned Video Compression With Efficient Temporal Context | learning | |
| Learned Watershed: End-to-End | learning | of Seeded Segmentation |
| learning | -- Conference Listing |
| learning | 2D Hand Shapes Using the Topology Preservation Model GNG |
| learning | 2D Shape Models |
| learning | 3-D Face Shape From Diverse Sources With Cross-Domain Face Synthesis |
| learning | 3-D Scene Structure from a Single Still Image |
| learning | 3D action models from a few 2D videos for view invariant action recognition |
| learning | 3D appearance models from video |
| learning | 3D Face Reconstruction From the Cycle-Consistency of Dynamic Faces |
| learning | 3d Face Reconstruction with a Pose Guidance Network |
| learning | 3D Faces from Photo-Realistic Facial Synthesis |
| learning | 3D Generative Models |
| learning | 3D Human Dynamics From Video |
| learning | 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats |
| learning | 3D Human Pose from Structure and Motion |
| learning | 3D Human Shape and Pose From Dense Body Parts |
| learning | 3D Keypoint Descriptors for Non-rigid Shape Matching |
| learning | 3D mesh segmentation and labeling |
| learning | 3D Object Categories by Looking Around Them |
| learning | 3D Object Descriptions from a Set of Stereo Vision Observations |
| learning | 3D Object Recognition from an Unlabelled and Unordered Training Set |
| learning | 3D Object Recognition Models from 2D Images |
| learning | 3D Object Recognition Strategies |
| learning | 3D Object Shape and Layout without 3D Supervision |
| learning | 3D object templates by hierarchical quantization of geometry and appearance spaces |
| learning | 3D Object Templates by Quantizing Geometry and Appearance Spaces |
| learning | 3d Part Assembly from a Single Image |
| learning | 3D Part Detection from Sparsely Labeled Data |
| learning | 3D Recognition Models for General Objects from Unlabeled Imagery: An Experiment in Intelligent Brute Force |
| learning | 3D Representations from 2D Pre-Trained Models via Image-to-Point Masked Autoencoders |
| learning | 3D Scene Priors with 2D Supervision |
| learning | 3D Scene Semantics and Structure from a Single Depth Image |
| learning | 3D Semantic Reconstruction on Octrees |
| learning | 3D Semantic Scene Graphs From 3D Indoor Reconstructions |
| learning | 3D Semantic Scene Graphs with Instance Embeddings |
| learning | 3D Semantic Segmentation with only 2D Image Supervision |
| learning | 3d Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network |
| learning | 3D Shape Completion from Laser Scan Data with Weak Supervision |
| learning | 3D Shape Completion Under Weak Supervision |
| learning | 3D Shape Feature for Texture-Insensitive Person Re-Identification |
| learning | 3D shape from a single facial image via non-linear manifold embedding and alignment |
| learning | 3D Shapes as Multi-layered Height-Maps Using 2D Convolutional Networks |
| learning | 3D structure from 2D images using LBP features |
| learning | 3D-Aware Image Synthesis with Unknown Pose Distribution |
| learning | 3D-Craft Generation with Predictive Action Neural Network |
| learning | 4D action feature models for arbitrary view action recognition |
| learning | 6D Object Pose Estimation Using 3D Object Coordinates |
| learning | a 3D Morphable Face Reflectance Model from Low-Cost Data |
| learning | a background model for change detection |
| learning | a bag of features based nonlinear metric for facial similarity |
| learning | a bi-directional discriminative representation for deep clustering |
| learning | a bi-level adversarial network with global and local perception for makeup-invariant face verification |
| learning | a Bias Correction for Lidar-Only Motion Estimation |
| learning | a blind image quality index based on visual saliency guided sampling and Gabor filtering |
| learning | a blind measure of perceptual image quality |
| learning | a Cascade Regression for No-Reference Super-Resolution Image Quality Assessment |
| learning | A Cascaded Non-Local Residual Network for Super-resolving Blurry Images |
| learning | a category independent object detection cascade |
| learning | a Channelized Observer for Image Quality Assessment |
| learning | a classification model for segmentation |
| learning | a Color Algorithm from Examples |
| learning | a color distance metric for region-based image segmentation |
| learning | a Combined Model of Visual Saliency for Fixation Prediction |
| learning | a compact latent representation of the Bag-of-Parts model |
| learning | a Compact Spatial-Angular Representation for Light Field |
| learning | a Complete Image Indexing Pipeline |
| learning | A Compositional Representation For Facade Object Categorization |
| learning | a Confidence Measure for Optical Flow |
| learning | a Confidence Measure for Real-Time Egomotion Estimation |
| learning | a confidence measure in the disparity domain from O(1) features |
| learning | a constrained conditional random field for enhanced segmentation of fallen trees in ALS point clouds |
| learning | a Context Aware Dictionary for Sparse Representation |
| learning | a Contextual Multi-Thread Model for Movie/TV Scene Segmentation |
| learning | a Continuous-Time Streaming Video QoE Model |
| learning | a Contrast Enhancer for Intensity Correction of Remotely Sensed Images |
| learning | a convolutional neural network for fractional interpolation in HEVC inter coding |
| learning | a Convolutional Neural Network for Image Compact-Resolution |
| learning | a convolutional neural network for non-uniform motion blur removal |
| learning | a convolutional neural network for propagation-based stereo image segmentation |
| learning | a Coordinated Network for Detail-Refinement Multiexposure Image Fusion |
| learning | a cross-modal hashing network for multimedia search |
| learning | a decision boundary for face detection |
| learning | a Deep Attention Dilated Residual Convolutional Neural Network for Landslide Susceptibility Mapping in Hanzhong City, Shaanxi Province, China |
| learning | a Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving |
| learning | a Deep Color Difference Metric for Photographic Images |
| learning | a Deep ConvNet for Multi-Label Classification With Partial Labels |
| learning | a Deep Convolutional Network for Image Super-Resolution |
| learning | a Deep Convolutional Network for Light-Field Image Super-Resolution |
| learning | a Deep Dual Attention Network for Video Super-Resolution |
| learning | a deep dual-level network for robust DeepFake detection |
| learning | a Deep Embedding Model for Zero-Shot Learning |
| learning | a Deep Embedding Model for Zero-Shot Learning |
| learning | a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking |
| learning | a Deep Model for Human Action Recognition from Novel Viewpoints |
| learning | a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion |
| learning | a deep network with spherical part model for 3D hand pose estimation |
| learning | a Deep Single Image Contrast Enhancer from Multi-Exposure Images |
| learning | a dense multi-view representation for detection, viewpoint classification and synthesis of object categories |
| learning | a Depth Covariance Function |
| learning | a Descriptor-Specific 3D Keypoint Detector |
| learning | a dictionary of deformable patches using GPUs |
| learning | a Dictionary of Shape Epitomes with Applications to Image Labeling |
| learning | a Dictionary of Shape-Components in Visual Cortex: Comparison with Neurons, Humans and Machines |
| learning | a Dilated Residual Network for SAR Image Despeckling |
| learning | a discriminative classifier using shape context distances |
| learning | a discriminative deformation-invariant 3D shape descriptor via many-to-one encoder |
| learning | a discriminative dictionary for sparse coding via label consistent K-SVD |
| learning | a Discriminative Distance Metric With Label Consistency for Scene Classification |
| learning | a Discriminative Feature Network for Semantic Segmentation |
| learning | a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition |
| learning | a Discriminative Model for the Perception of Realism in Composite Images |
| learning | a Discriminative Null Space for Person Re-identification |
| learning | a Discriminative Prior for Blind Image Deblurring |
| learning | a discriminative sparse tri-value transform |
| learning | a distance function with a Siamese network to localize anomalies in videos |
| learning | a distance metric from multi-instance multi-label data |
| learning | a Distance Metric from Relative Comparisons between Quadruplets of Images |
| learning | a Dynamic Feature Fusion Tracker for Object Tracking |
| learning | a Dynamic High-Resolution Network for Multi-Scale Pedestrian Detection |
| learning | a Dynamic Map of Visual Appearance |
| learning | a Facial Expression Embedding Disentangled from Identity |
| learning | a Factorized Segmental Representation of Far-Field Tracking Data |
| learning | a Family of Detectors via Multiplicative Kernels |
| learning | a Fast Emulator of a Binary Decision Process |
| learning | a Fine Vocabulary |
| learning | a Fixed-Length Fingerprint Representation |
| learning | a Fully Connected U-Net for Spectrum Reconstruction of Fourier Transform Imaging Spectrometers |
| learning | a Gaussian basis for spectra representation aimed at reflectance classification |
| learning | a General Assignment Model for Video Analytics |
| learning | a General-Purpose Confidence Measure Based on O(1) Features and a Smarter Aggregation Strategy for Semi Global Matching |
| learning | a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix |
| learning | a generic 3D face model from 2D image databases using incremental Structure-from-Motion |
| learning | a geometry integrated image appearance manifold from a small training set |
| learning | a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects |
| learning | a hierarchical compositional representation of multiple object classes |
| learning | a Hierarchical Deformable Template for Rapid Deformable Object Parsing |
| learning | a Hierarchical Latent Semantic Model for Multimedia Data |
| learning | a Hierarchical Latent-Variable Model of 3D Shapes |
| learning | a hierarchy of discriminative space-time neighborhood features for human action recognition |
| learning | a High Fidelity Identity Representation for Face Frontalization |
| learning | a Holistic-Specific color transformer with Couple Contrastive constraints for underwater image enhancement and beyond |
| learning | a hybrid similarity measure for image retrieval |
| learning | a Joint Affinity Graph for Multiview Subspace Clustering |
| learning | a joint discriminative-generative model for action recognition |
| learning | a Joint Manifold Representation from Multiple Data Sets |
| learning | a Kinematic Prior for Tree-Based Filtering |
| learning | a Latent Space with Triplet Network for Few-Shot Image Classification |
| learning | a Layout Transfer Network for Context Aware Object Detection |
| learning | a lightweight deep convolutional network for joint age and gender recognition |
| learning | a Limited Text Space for Cross-Media Retrieval |
| learning | a locality preserving subspace for visual recognition |
| learning | a Locally Unified 3D Point Cloud for View Synthesis |
| learning | a low-coherence dictionary to address spectral variability for hyperspectral unmixing |
| learning | a low-rank shared dictionary for object classification |
| learning | a Mahalanobis distance metric for data clustering and classification |
| learning | a Mahalanobis distance metric via regularized LDA for scene recognition |
| learning | a Manifold as an Atlas |
| learning | a manifold-constrained map between image sets: Applications to matching and pose estimation |
| learning | A Meta-Ensemble Technique For Skin Lesion Classification And Novel Class Detection |
| learning | a minimum similarity projection and lowest correlation representation for image classification |
| learning | a mixture model for clustering with the completed likelihood minimum message length criterion |
| learning | a Mixture of Deep Networks for Single Image Super-Resolution |
| learning | a Mixture of Granularity-Specific Experts for Fine-Grained Categorization |
| learning | a mixture of sparse distance metrics for classification and dimensionality reduction |
| learning | a Model-Driven Variational Network for Deformable Image Registration |
| learning | a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection |
| learning | a Multi-Branch Neural Network from Multiple Sources for Knowledge Adaptation in Remote Sensing Imagery |
| learning | a multi-level guided residual network for single image deraining |
| learning | a Multi-Size Patch-Based Hybrid Kernel Machine Ensemble for Abnormal Region Detection in Colonoscopic Images |
| learning | a multiscale patch-based representation for image denoising in X-RAY fluoroscopy |
| learning | a Near-Optimal Estimator for Surface Shape from Shading |
| learning | a Neural 3D Texture Space From 2D Exemplars |
| learning | a Neural Solver for Multiple Object Tracking |
| learning | a New Statistical Shape Prior Model for Object Detection by Geodesic Active Contours |
| learning | a no-reference quality metric for single-image super-resolution |
| learning | a Non-blind Deblurring Network for Night Blurry Images |
| learning | a non-linear combination of Mahalanobis distances using statistical inference for similarity measure |
| learning | a non-linear knowledge transfer model for cross-view action recognition |
| learning | a nonlinear distance metric for supervised region-merging image segmentation |
| learning | a Nonnegative Sparse Graph for Linear Regression |
| learning | a Novel Ensemble Tracker for Robust Visual Tracking |
| learning | a Part-Based Pedestrian Detector in a Virtual World |
| learning | a Patch Quality Comparator for Single Image Dehazing |
| learning | a perceptual manifold for image set classification |
| learning | a Person-Independent Representation for Precise 3D Pose Estimation |
| learning | a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models |
| learning | a Predictable and Generative Vector Representation for Objects |
| learning | a Privacy-Preserving Global Feature Set for Mood Classification Using Smartphone Activity and Sensor Data |
| learning | a Probabilistic Model for Diffeomorphic Registration |
| learning | a probabilistic model mixing 3D and 2D primitives for view invariant object recognition |
| learning | a Probabilistic Similarity Function for Segmentation |
| learning | a Proposal Classifier for Multiple Object Tracking |
| learning | a Prototype Discriminator With RBF for Multimodal Image Synthesis |
| learning | a Quality-Based Ranking for Feature Point Trajectories |
| learning | a Recurrent Residual Fusion Network for Multimodal Matching |
| learning | a referenceless stereopair quality engine with deep nonnegativity constrained sparse autoencoder |
| learning | a Reinforced Agent for Flexible Exposure Bracketing Selection |
| learning | a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition |
| learning | a restricted bayesian network for object detection |
| learning | a Robust Part-Aware Monocular 3D Human Pose Estimator via Neural Architecture Search |
| learning | a robust representation via a deep network on symmetric positive definite manifolds |
| learning | a Robust Society of Tracking Parts Using Co-occurrence Constraints |
| learning | A Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation |
| learning | a Saliency Map for Fixation Prediction |
| learning | a scale-and-rotation correlation filter for robust visual tracking |
| learning | a scene contextual model for tracking and abnormality detection |
| learning | a selectivity-invariance-selectivity feature extraction architecture for images |
| learning | a Self-Expressive Network for Subspace Clustering |
| learning | a semantic space from user's relevance feedback for image retrieval |
| learning | a sequential search for landmarks |
| learning | a Similarity Based Distance Measure for Image Database Organization from Human Partitionings of an Image Set |
| learning | a Similarity Constrained Discriminative Kernel Dictionary from Concatenated Low-Rank Features for Action Recognition |
| learning | a Similarity Metric Discriminatively, with Application to Face Verification |
| learning | a Simple Low-Light Image Enhancer from Paired Low-Light Instances |
| learning | a Single Active Face Shape Model across Views |
| learning | a Single Convolutional Super-Resolution Network for Multiple Degradations |
| learning | a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal |
| learning | A Single Network for Scale-Arbitrary Super-Resolution |
| learning | a Single Tucker Decomposition Network for Lossy Image Compression With Multiple Bits-per-Pixel Rates |
| learning | a Sketch Tensor Space for Image Inpainting of Man-made Scenes |
| learning | a sparse dictionary of video structure for activity modeling |
| learning | a Sparse Representation for Object Detection |
| learning | a Sparse Representation from Multiple Still Images for On-Line Face Recognition in an Unconstrained Environment |
| learning | A Sparse Transformer Network for Effective Image Deraining |
| learning | a Sparse, Corner-Based Representation for Time-varying Background Modeling |
| learning | a Spatially Smooth Subspace for Face Recognition |
| learning | A Stable Structure To Describe Dynamic Texture |
| learning | a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts |
| learning | a strong detector for action localization in videos |
| learning | a structured dictionary for video-based face recognition |
| learning | a Structured Latent Space for Unsupervised Point Cloud Completion |
| learning | A Superpixel-Driven Speed Function for Level Set Tracking |
| learning | a Synchronous MAP for Improved Face Recognition |
| learning | a target-dependent classifier for cross-domain semantic segmentation: Fine-tuning versus meta-learning |
| learning | a target-dependent classifier for cross-domain semantic segmentation: Fine-tuning versus meta-learning |
| learning | a Task-Specific Descriptor for Robust Matching of 3D Point Clouds |
| learning | a temporally invariant representation for visual tracking |
| learning | a Terrain Model for Autonomous Navigation in Rough Terrain |
| learning | a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection |
| learning | a Two-Dimensional Fuzzy Discriminant Locality Preserving Subspace for Visual Recognition |
| learning | a Unified Classifier Incrementally via Rebalancing |
| learning | a Unified Sample Weighting Network for Object Detection |
| learning | a virtual codec based on deep convolutional neural network to compress image |
| learning | a wavelet tree for multichannel image denoising |
| learning | a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection |
| learning | a weighted semantic manifold for content-based image retrieval |
| learning | AAM fitting through simulation |
| learning | ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision |
| learning | Aberrance Repressed Correlation Filters for Real-Time UAV Tracking |
| learning | About A Scene Using an Active Vision System |
| learning | About the Heritage of Tinian Marble Crafts with a Location-based Mobile Game and Tour App |
| learning | Accurate 3D Shape Based on Stereo Polarimetric Imaging |
| learning | Accurate Dense Correspondences and When to Trust Them |
| learning | Accurate Performance Predictors for Ultrafast Automated Model Compression |
| learning | Accurate, Speedy, Lightweight CNNs via Instance-Specific Multi-Teacher Knowledge Distillation for Distracted Driver Posture Identification |
| learning | Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning |
| learning | Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning |
| learning | Across Tasks and Domains |
| learning | Across Tasks for Zero-Shot Domain Adaptation From a Single Source Domain |
| learning | Across Views for Stereo Image Completion |
| learning | Action Changes by Measuring Verb-Adverb Textual Relationships |
| learning | Action Completeness from Points for Weakly-supervised Temporal Action Localization |
| learning | Action Concept Trees and Semantic Alignment Networks from Image-Description Data |
| learning | action dictionaries from video |
| learning | Action Maps of Large Environments via First-Person Vision |
| learning | Action Primitives for Multi-level Video Event Understanding |
| learning | Action Recognition Model from Depth and Skeleton Videos |
| learning | action symbols for hierarchical grammar induction |
| learning | Actionlet Ensemble for 3D Human Action Recognition |
| learning | Actionness via Long-range Temporal Order Verification |
| learning | actions from the Web |
| learning | Actions Using Robust String Kernels |
| learning | Active Basis Model for Object Detection and Recognition |
| learning | Active Contour Models for Medical Image Segmentation |
| learning | active facial patches for expression analysis |
| learning | Active Shape Models for Bifurcating Contours |
| learning | Activity Patterns Using Fuzzy Self-Organizing Neural Network |
| learning | Activity Progression in LSTMs for Activity Detection and Early Detection |
| learning | Actor Relation Graphs for Group Activity Recognition |
| learning | Adaptive and Sparse Representations of Medical Images |
| learning | Adaptive Attribute-Driven Representation for Real-Time RGB-T Tracking |
| learning | Adaptive Classifiers Synthesis for Generalized Few-Shot Learning |
| learning | Adaptive Classifiers Synthesis for Generalized Few-Shot Learning |
| learning | Adaptive Dense Event Stereo from the Image Domain |
| learning | Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking |
| learning | adaptive filter banks for hierarchical image representation |
| learning | adaptive geometry for unsupervised domain adaptation |
| learning | adaptive interpolation kernels for fast single-image super resolution |
| learning | Adaptive Metric for Robust Visual Tracking |
| learning | adaptive motion search for fast versatile video coding in visual surveillance systems |
| learning | Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering |
| learning | Adaptive Neighborhoods for Graph Neural Networks |
| learning | Adaptive Patch Generators for Mask-Robust Image Inpainting |
| learning | Adaptive Receptive Fields for Deep Image Parsing Network |
| learning | Adaptive Regularization for Image Labeling Using Geometric Assignment |
| learning | Adaptive Sparse Spatially-Regularized Correlation Filters for Visual Tracking |
| learning | adaptive spatial-temporal regularized correlation filters for visual tracking |
| learning | Adaptive Target-and-Surrounding Soft Mask for Correlation Filter Based Visual Tracking |
| learning | Adaptive Warping for RealWorld Rolling Shutter Correction |
| learning | adaptively windowed correlation filters for robust tracking |
| learning | Additive Kernel For Feature Transformation and Its Application to CNN Features |
| learning | Adjustable Reduced Downsampling Network for Small Object Detection in Urban Environments |
| learning | adversarial semantic embeddings for zero-shot recognition in open worlds |
| learning | Adversarially Robust Object Detector with Consistency Regularization in Remote Sensing Images |
| learning | Advisor Networks for Noisy Image Classification |
| learning | Aerial Image Segmentation From Online Maps |
| learning | Affective Features With a Hybrid Deep Model for Audio-Visual Emotion Recognition |
| learning | Affine Hull Representations for Multi-Shot Person Re-Identification |
| learning | affine transformations |
| learning | Affine Transformations of the Plane for Model-Based Object Recognition |
| learning | affinities and dependencies for multi-target tracking using a CRF model |
| learning | Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers |
| learning | Affinity Functions for Image Segmentation: Combining Patch-Based and Gradient-Based Approaches |
| learning | Affinity-Aware Upsampling for Deep Image Matting* |
| learning | Affordance Grounding from Exocentric Images |
| learning | Affordance Segmentation: An Investigative Study |
| learning | Affordances for Categorizing Objects and Their Properties |
| learning | Age and Gender of Blogger from Stylistic Variation |
| learning | aggregated features and optimizing model for semantic labeling |
| learning | Algebraic Representation for Systematic Generalization in Abstract Reasoning |
| learning | Algorithm Based on Modified Structure of Pattern Classes |
| learning | Algorithm for Boltzmann Machines, A |
| learning | algorithm for structured character pattern representation used in on-line recognition of handwritten Japanese characters, A |
| learning | Algorithm for the Optimum-Path Forest Classifier, A |
| learning | Algorithm of Environmental Recognition in Driving Vehicle |
| learning | Algorithms for Audio and Video Processing: Independent Component Analysis and Support Vector Machine Based Approaches |
| learning | Algorithms for Digital Reconstruction of Van Gogh's Drawings |
| learning | algorithms for extended models of Boltzmann machines |
| learning | algorithms of form structure for Bayesian networks |
| learning | Aligned Cross-Modal Representations from Weakly Aligned Data |
| learning | Aligned Image-Text Representations Using Graph Attentive Relational Network |
| learning | All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer |
| learning | Alternating Deep-Layer Cascaded Representation |
| learning | an Adaptation Function to Assess Image Visual Similarities |
| learning | an adaptive model for extreme low-light raw image processing |
| learning | an Aesthetic Photo Cropping Cascade |
| learning | an Alphabet of Shape and Appearance for Multi-Class Object Detection |
| learning | an Analysis Strategy for Knowledge-Based Exploration of Scenes |
| learning | an artificial neural network to discover bit-quad-based formulas to compute basic object properties |
| learning | an Atlas from Unlabeled Point-Sets |
| learning | an Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences |
| learning | an attention-aware parallel sharing network for facial attribute recognition |
| learning | an augmentation strategy for sparse datasets |
| learning | an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection |
| learning | an Effective Equivariant 3D Descriptor Without Supervision |
| learning | an Efficient and Robust Graph Matching Procedure for Specific Object Recognition |
| learning | an efficient model of hand shape variation from depth images |
| learning | an Efficient Multimodal Depth Completion Model |
| learning | an Efficient Texture Model by Supervised Nonlinear Dimensionality Reduction Methods |
| learning | an Event Sequence Embedding for Dense Event-Based Deep Stereo |
| learning | an event-oriented and discriminative dictionary based on an adaptive label-consistent K-SVD method for event detection in soccer videos |
| learning | an Evolutionary Embedding via Massive Knowledge Distillation |
| learning | an Evolved Mixture Model for Task-Free Continual Learning |
| learning | an Evolved Mixture Model for Task-Free Continual Learning |
| learning | An Explicit Weighting Scheme for Adapting Complex HSI Noise |
| learning | an Image-Based Motion Context for Multiple People Tracking |
| learning | an Information Theoretic Transform for Object Detection |
| learning | an insertion region for advertisement embedding on planes |
| learning | an Integral-Equation Approximation to Nonlinear Anisotropic Diffusion in Image-Processing |
| learning | an interactive segmentation system |
| learning | an Interest Operator from Human Eye Movements |
| learning | an Intrinsic Image Decomposer Using Synthesized RGB-D Dataset |
| learning | an Invariant and Equivariant Network for Weakly Supervised Object Detection |
| learning | an Invariant Hilbert Space for Domain Adaptation |
| learning | an Isometric Surface Parameterization for Texture Unwrapping |
| learning | an object class representation on a continuous viewsphere |
| learning | an Object Model for Feature Matching in Clutter |
| learning | an Object's Function by Observing the Object in Action |
| learning | an Occlusion-Aware Network for Video Deblurring |
| learning | an Optimal Naive Bayes Classifier |
| learning | an Optimisable Semantic Segmentation Map with Image Conditioned Variational Autoencoder |
| learning | an Order Preserving Image Similarity through Deep Ranking |
| learning | an Orthogonal and Smooth Subspace for Image Classification |
| learning | an video frame-based face detection system for security fields |
| learning | Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images |
| learning | Analytical Posterior Probability for Human Mesh Recovery |
| learning | analytics system for assessing students' performance quality and text mining in online communication |
| learning | analytics: a review of the literature |
| learning | Anchor Transformations for 3D Garment Animation |
| learning | Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction |
| learning | and Adaptation for Improving Handwritten Character Recognizers |
| learning | and Adapting Robust Features for Satellite Image Segmentation on Heterogeneous Data Sets |
| learning | and Aggregating Deep Local Descriptors for Instance-Level Recognition |
| learning | and Aggregating Lane Graphs for Urban Automated Driving |
| learning | and Analysis of AusRAP Attributes from Digital Video Recording for Road Safety |
| learning | and Application of Feedback Path Database for Feedback Control in Hearing Aids |
| learning | and Association of Features for Action Recognition in Streaming Video |
| learning | and Calibrating Per-Location Classifiers for Visual Place Recognition |
| learning | and caricaturing the face space using self-organization and Hebbian learning for face processing |
| learning | and caricaturing the face space using self-organization and Hebbian learning for face processing |
| learning | and Classification of Complex Dynamics |
| learning | and Classification of Trajectories in Dynamic Scenes: A General Framework for Live Video Analysis |
| learning | and Combining Image Similarities for Neonatal Brain Population Studies |
| learning | and Design of Principal Curves |
| learning | and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models |
| learning | and Detecting Objects with a Mobile Robot to Assist Older Adults in Their Homes |
| learning | and Detection of Object Landmarks in Canonical Object Space |
| learning | and Evaluating Visual Features for Pose Estimation |
| learning | and Example Selection for Object and Pattern Detection |
| learning | and extracting edges from images by a modified Hopfield neural network |
| learning | and Feature Selection in Stereo Matching |
| learning | and Forgetting with Local Information of New Objects |
| learning | and Fusing Multiple User Interest Representations for Micro-Video and Movie Recommendations |
| learning | and Incorporating Top-Down Cues in Image Segmentation |
| learning | and Inference in Parametric Switching Linear Dynamical Systems |
| learning | and Inference of 3D Human Poses from Gaussian Mixture Modeled Silhouettes |
| learning | and Inferring Dark Matter: and Predicting Human Intents and Trajectories in Videos |
| learning | and Inferring Image Segmentations Using the GBP Typical Cut Algorithm |
| learning | and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems |
| learning | and Integrating Multi-Level Matching Features for Image-Text Retrieval |
| learning | and matching human activities using regular expressions |
| learning | and Matching Line Aspects for Articulated Objects |
| learning | and Matching Multi-View Descriptors for Registration of Point Clouds |
| learning | and matching multiscale template descriptors for real-time detection, localization and tracking |
| learning | and Matching of Dynamic Shape Manifolds for Human Action Recognition |
| learning | and Memorizing Representative Prototypes for 3d Point Cloud Semantic and Instance Segmentation |
| learning | and Meshing From Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching |
| learning | and Operation Planning Method for Uber Energy Storage System: Order Dispatch, A |
| learning | and parsing video events with goal and intent prediction |
| learning | and Predicting Moving Object Trajectory: A piecewise trajectory segment approach |
| learning | and Prediction of Soft Object Deformation Using Visual Analysis of Robot Interactions |
| learning | and Propagation of Dominant Colors for Fast Video Segmentation |
| learning | and Reasoning by Analogy |
| learning | and recognising 3d models represented by multiple views by means of methods based on random graphs |
| learning | and recognition for assistive computer vision |
| learning | and Recognition of 3-D Objects from Brightness Images |
| learning | and Recognition of 3D Objects from Appearance |
| learning | and Recognition of Clothing Genres From Full-Body Images |
| learning | and Recognition of Hand-Drawn Shapes Using Generative Genetic Programming |
| learning | and Recognition of On-Premise Signs From Weakly Labeled Street View Images |
| learning | and recognizing complex multi-agent activities with applications to american football plays |
| learning | and Recognizing Human Dynamics in Video Sequences |
| learning | and Refining of Privileged Information-Based RNNs for Action Recognition from Depth Sequences |
| learning | and Regularizing Motion Models for Enhancing Particle Filter-Based Target Tracking |
| learning | and Removing Cast Shadows through a Multidistribution Approach |
| learning | and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction |
| learning | and Selecting Confidence Measures for Robust Stereo Matching |
| learning | and SLAM based Decision Support Platform for Sewer Inspection |
| learning | and synthesizing human body motion and posture |
| learning | and synthesizing MPEG-4 compatible 3-D face animation from video sequence |
| learning | and the language of thought |
| learning | and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences |
| learning | and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification |
| learning | and Transferring Mid-level Image Representations Using Convolutional Neural Networks |
| learning | and transferring representations for image steganalysis using convolutional neural network |
| learning | and Transforming General Representations to Break Down Stability-plasticity Dilemma |
| learning | and understanding dynamic scene activity: a review |
| learning | and using taxonomies for fast visual categorization |
| learning | and Using the Arrow of Time |
| learning | and vision machines |
| learning | And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation |
| learning | AND-OR Templates for Object Recognition and Detection |
| learning | Answer Embeddings for Visual Question Answering |
| learning | Appearance and Shape Evolution for Infant Image Registration in the First Year of Life |
| learning | appearance and transparency manifolds of occluded objects in layers |
| learning | Appearance Features for Pain Detection Using the UNBC-McMaster Shoulder Pain Expression Archive Database |
| learning | appearance in virtual scenarios for pedestrian detection |
| learning | Appearance Manifolds from Video |
| learning | Appearance Models for Object Recognition |
| learning | Appearance Primitives of Iris Images for Ethnic Classification |
| learning | Appearance-Motion Synergy via Memory-Guided Event Prediction for Video Anomaly Detection |
| learning | Approach for Adaptive Image Segmentation, A |
| learning | Approach for Informative-Frame Selection in US Rheumatology Images, A |
| learning | Approach to 3D Object Representation for Classification, A |
| learning | approach to discovering Web page semantic structures, A |
| learning | Approach Towards Detection and Tracking of Lane Markings, A |
| learning | Approaches for Parking Lots Classification |
| learning | arbitrary-shape object detector from bounding-box annotation by searching region-graph |
| learning | Architectures for Binary Networks |
| learning | articulated appearance models for tracking humans: A spectral graph matching approach |
| learning | Articulated Shape with Keypoint Pseudo-Labels from Web Images |
| learning | Articulated Structure and Motion |
| learning | Artistic Lighting Template from Portrait Photographs |
| learning | aspect models with partially labeled data |
| learning | Assignment Order of Instances for the Constrained K-Means Clustering Algorithm |
| learning | assistive strategies for exoskeleton robots from user-robot physical interaction |
| learning | associate appearance manifolds for cross-pose face recognition |
| learning | Association Fields from Natural Images |
| learning | Associative Representation for Facial Expression Recognition |
| learning | Asymmetric and Local Features in Multi-Dimensional Data Through Wavelets With Recursive Partitioning |
| learning | Asynchronous and Sparse Human-Object Interaction in Videos |
| learning | Atomic Human Actions Using Variable-Length Markov Models |
| learning | Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks |
| learning | Attention as Disentangler for Compositional Zero-Shot Learning |
| learning | Attention as Disentangler for Compositional Zero-Shot Learning |
| learning | attention based saliency in videos from human eye movements |
| learning | attention map from images |
| learning | Attention Propagation for Compositional Zero-Shot Learning |
| learning | Attention Propagation for Compositional Zero-Shot Learning |
| learning | attention-guided pyramidal features for few-shot fine-grained recognition |
| learning | Attentional Recurrent Neural Network for Visual Tracking |
| learning | Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking |
| learning | Attentive and Hierarchical Representations for 3D Shape Recognition |
| learning | attentive dynamic maps (ADMs) for Understanding Human Actions |
| learning | Attraction Field Representation for Robust Line Segment Detection |
| learning | Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis |
| learning | Attribute Representation for Human Activity Recognition |
| learning | Attribute Representations with Localization for Flexible Fashion Search |
| learning | Attribute-driven Disentangled Representations for Interactive Fashion Retrieval |
| learning | Attributes Equals Multi-Source Domain Generalization |
| learning | Attributes from Human Gaze |
| learning | audio and image representations with bio-inspired trainable feature extractors |
| learning | Audio-Video Modalities from Image Captions |
| learning | Audio-Visual Source Localization via False Negative Aware Contrastive Learning |
| learning | Audio-Visual Source Localization via False Negative Aware Contrastive Learning |
| learning | Augmentation Network via Influence Functions |
| learning | auto-scale representations for person re-identification |
| learning | Auto-Structured Regressor from Uncertain Nonnegative Labels |
| learning | autoencoders with low-rank weights |
| learning | automata based classifier |
| learning | automata for image segmentation |
| learning | automatic concept detectors from online video |
| learning | automatic video capture from human's camera operations |
| learning | Background and Shadow Appearance with 3-D Vehicle Models |
| learning | Background Subtraction by Video Synthesis and Multi-scale Recurrent Networks |
| learning | Background-Aware Correlation Filters for Visual Tracking |
| learning | Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification |
| learning | bag-of-embedded-words representations for textual information retrieval |
| learning | Bag-of-Features Pooling for Deep Convolutional Neural Networks |
| learning | Balanced Trees for Large Scale Image Classification |
| learning | Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval |
| learning | Based Adaptive Denoising Approach for Image Interpolation |
| learning | based alpha matting using support vector regression |
| learning | Based Approach for 3D Segmentation and Colon Detagging, A |
| learning | based approach for dense stereo matching with IGMRF prior, A |
| learning | based approach to additive, correlated noise removal, A |
| learning | based automatic face annotation for arbitrary poses and expressions from frontal images only |
| learning | Based Character Segmentation Method for Various License Plates |
| learning | based coarse-to-fine image registration |
| learning | based deformable template matching method for automatic rib centerline extraction and labeling in CT images, A |
| learning | based Detection, segmentation and matching of objects |
| learning | based digital matting |
| learning | Based Intelligent Train Regulation Method With Dynamic Prediction for the Metro Passenger Flow, A |
| learning | Based Interactive Image Segmentation |
| learning | based method for near field acoustic range estimation in spherical harmonics domain using intensity vectors |
| learning | based Multi-modality Image and Video Compression |
| learning | based no-reference metric for assessing quality of experience of stereoscopic images |
| learning | based on conceptual distance |
| learning | Based Reconstruction of Grayscale Face Image from Far-Infrared Image |
| learning | Based Relevance Feedback in Image Retrieval |
| learning | Based Resolution Enhancement of Iris Images |
| learning | Based Single Image Blur Detection and Segmentation |
| learning | Based Single Image Super Resolution Using Discrete Wavelet Transform |
| learning | Based System for Detection and Tracking of Vehicles |
| learning | based video authentication using statistical local information |
| learning | Bases of Activity for Facial Expression Recognition |
| learning | Basic Patterns from Repetitive Texture Surfaces Under Non-rigid Deformations |
| learning | Bayesian Classifiers for Scene Classification With a Visual Grammar |
| learning | Bayesian classifiers from positive and unlabeled examples |
| learning | Bayesian network classifiers for credit scoring using Markov chain Monte Carlo search |
| learning | Bayesian network classifiers for facial expression recognition using both labeled and unlabeled data |
| learning | Bayesian network classifiers from label proportions |
| learning | Bayesian network parameters under incomplete data with domain knowledge |
| learning | Bayesian network structure using Markov blanket decomposition |
| learning | Bayesian Networks by Evolution for Classifier Combination |
| learning | Bayesian networks for clustering by means of constructive induction |
| learning | Bayesian Networks for Cytogenetic Image Classification |
| learning | Bayesian networks using the constrained maximum a posteriori probability method |
| learning | Bayesian Networks with qualitative constraints |
| learning | Bayesian Sparse Networks with Full Experience Replay for Continual Learning |
| learning | Bayesian Sparse Networks with Full Experience Replay for Continual Learning |
| learning | Bayesian tracking for motion estimation |
| learning | beautiful (and ugly) attributes |
| learning | Behavior Using Multiresolution Recurrent Neural Network |
| learning | Behaviour Models of Human Activities |
| learning | Behavioural Context |
| learning | best views of 3D shapes from sketch contour |
| learning | better image representations using flobject analysis |
| learning | Better Lossless Compression Using Lossy Compression |
| learning | Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding |
| learning | Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation |
| learning | Bi-directional Feature Propagation with Latent Layout Modeling for Group Re-identification |
| learning | bias in neural networks and an approach to controlling its effect in monotonic classification |
| learning | Bias-Invariant Representation by Cross-Sample Mutual Information Minimization |
| learning | biased distance metrics with diversity regularizer for person re-identification |
| learning | Bidimensional Context Dependent Models Using a Context Sensitive Language |
| learning | Bidirectional Temporal Cues for Video-Based Person Re-Identification |
| learning | Big (Image) Data via Coresets for Dictionaries |
| learning | Bilateral Cost Volume for Rolling Shutter Temporal Super-Resolution |
| learning | Bilevel Layer Priors for Single Image Rain Streaks Removal |
| learning | Bilinear Models for Two Factor Problems in Vision |
| learning | binarized pixel-difference pattern for scene recognition |
| learning | binary code for fast nearest subspace search |
| learning | Binary Code for Personalized Fashion Recommendation |
| learning | Binary Codes for Maximum Inner Product Search |
| learning | binary hash codes for finger vein image retrieval |
| learning | Biomimetic Perception for Human Sensorimotor Control |
| learning | Blackboard-Based Scheduling Algorithms for Computer Vision |
| learning | Blind Motion Deblurring |
| learning | Blind Pixelwise Affine Image Denoiser With Single Noisy Images |
| learning | Blind Quality Evaluator for Stereoscopic Images Using Joint Sparse Representation |
| learning | Blind Video Temporal Consistency |
| learning | body part-based pose lexicons for semantic action recognition |
| learning | Boosted Asymmetric Classifiers for Object Detection |
| learning | Bottleneck Concepts in Image Classification |
| learning | bottom-up text attention maps for text detection using stroke width transform |
| learning | boundaries with color and depth |
| learning | Boundary and Appearance for Video Object Cutout |
| learning | Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network |
| learning | Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow |
| learning | Building Extraction in Aerial Scenes with Convolutional Networks |
| learning | Bundle Manifold by Double Neighborhood Graphs |
| learning | by a Generation Approach to Appearance-Based Object Recognition |
| learning | by Aligning Videos in Time |
| learning | by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences |
| learning | by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation |
| learning | by Asking Questions |
| learning | by Associating Ambiguously Labeled Images |
| learning | by Association: A Versatile Semi-Supervised Training Method for Neural Networks |
| learning | by coincidence: Siamese networks and common variable learning |
| learning | by coincidence: Siamese networks and common variable learning |
| learning | by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation |
| learning | by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation |
| learning | by Hallucinating: Vision-Language Pre-training with Weak Supervision |
| learning | by Imagination: A Joint Framework for Text-Based Image Manipulation and Change Captioning |
| learning | by Planning: Language-Guided Global Image Editing |
| learning | by Restoring Broken 3D Geometry |
| learning | by Sampling for White Blood Cells Segmentation |
| learning | by Seeing More Classes |
| learning | by Tracking: Siamese CNN for Robust Target Association |
| learning | by Watching |
| learning | by Watching: Extracting Reusable Task Knowledge from Visual Observation of Human Performance |
| learning | Calibrated Class Centers for Few-Shot Classification by Pair-Wise Similarity |
| learning | Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling |
| learning | Camera Localization via Dense Scene Matching |
| learning | Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN) |
| learning | Camera Viewpoint Using CNN to Improve 3D Body Pose Estimation |
| learning | Camera-aware Noise Models |
| learning | Canonical 3D Object Representation for Fine-Grained Recognition |
| learning | Canonical Correlations |
| learning | Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations |
| learning | Canonical F-Correlation Projection for Compact Multiview Representation |
| learning | Canonical Representations for Scene Graph to Image Generation |
| learning | Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation |
| learning | Canonical View Representation for 3D Shape Recognition with Arbitrary Views |
| learning | Cartographic Building Generalization with Deep Convolutional Neural Networks |
| learning | Cascaded Context-Aware Framework for Robust Visual Tracking |
| learning | Cascaded Deep Auto-Encoder Networks for Face Alignment |
| learning | Cascaded Reduced-Set SVMs Using Linear Programming |
| learning | Cascaded Shared-Boost Classifiers for Part-Based Object Detection |
| learning | Cascaded Siamese Networks for High Performance Visual Tracki |
| learning | cast shadow appearance for human posture recognition |
| learning | Categorical Shape from Captioned Images |
| learning | Categories From Few Examples With Multi Model Knowledge Transfer |
| learning | Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation |
| learning | Category-Specific 3D Shape Models from Weakly Labeled 2D Images |
| learning | Category-Specific Deformable 3D Models for Object Reconstruction |
| learning | Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization |
| learning | Category-Specific Mesh Reconstruction from Image Collections |
| learning | Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions |
| learning | Causal Temporal Relation and Feature Discrimination for Anomaly Detection |
| learning | CCA Representations for Misaligned Data |
| learning | cell geometry models for cell image simulation: An unbiased approach |
| learning | Center Probability Map for Detecting Objects in Aerial Images |
| learning | Chan-Vese |
| learning | Chance Probability Functions for Shape Retrieval or Classification |
| learning | Change from Synthetic Aperture Radar Images: Performance Evaluation of a Support Vector Machine to Detect Earthquake and Tsunami-Induced Changes |
| learning | Channel-Aware Correlation Filters for Robust Object Tracking |
| learning | channel-aware deep regression for object tracking |
| learning | Channel-Wise Interactions for Binary Convolutional Neural Networks |
| learning | Character Recognition by Localized Interpretation of Character-Images |
| learning | Choreographic Primitives Through A Bayesian Optimized Bi-Directional LSTM Model |
| learning | circulant support vector machines for fast image search |
| learning | Clasiffier Systems with Hebbian Learning for Autonomus Behaviors |
| learning | Clasiffier Systems with Hebbian Learning for Autonomus Behaviors |
| learning | class probabilities from labeled data |
| learning | Class Prototypes via Structure Alignment for Zero-Shot Recognition |
| learning | Class Regions by the Union of Ellipsoids |
| learning | Class Specific Graph Prototypes |
| learning | class-specific affinities for image labelling |
| learning | class-specific dictionaries for digit recognition from spherical surface of a 3D ball |
| learning | Class-Specific Edges for Object Detection and Segmentation |
| learning | class-specific image transformations with higher-order Boltzmann machines |
| learning | Class-to-Image Distance via Large Margin and L1-Norm Regularization |
| learning | Class-to-Image Distance with Object Matchings |
| learning | classes for video interpretation with a robust parallel clustering method |
| learning | Classifier System on a humanoid NAO robot in dynamic environments |
| learning | classifiers from imbalanced data based on biased minimax probability machine |
| learning | Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation |
| learning | CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestrian Attribute Recognition |
| learning | Clip Representations for Skeleton-Based 3D Action Recognition |
| learning | Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification |
| learning | Clustering for Motion Segmentation |
| learning | clustering-based linear mappings for quantization noise removal |
| learning | CNNs for Face Recognition from Weakly Annotated Images |
| learning | CNNs from weakly annotated facial images |
| learning | Co-occurrence of Local Spatial Strokes for Robust Character Recognition |
| learning | co-occurrence strokes for scene character recognition based on spatiality embedded dictionary |
| learning | Co-relations of Plausible Verb Arguments with a WSM and a Distributional Thesaurus |
| learning | Co-segmentation by Segment Swapping for Retrieval and Discovery |
| learning | Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval |
| learning | coarse-to-fine sparselets for efficient object detection and scene classification |
| learning | codebook weights for action detection |
| learning | Collaborative Model for Visual Tracking |
| learning | Collaborative Sparse Representation for Grayscale-Thermal Tracking |
| learning | Collections of Part Models for Object Recognition |
| learning | Collective Crowd Behaviors with Dynamic Pedestrian-Agents |
| learning | color and locality cues for moving object detection and segmentation |
| learning | Color Distributions from Bitemporal Remote Sensing Images to Update Existing Building Footprints |
| learning | color image expansion filters |
| learning | Color Names for Real-World Applications |
| learning | Color Names from Real-World Images |
| learning | Color Representations for Low-Light Image Enhancement |
| learning | Combination of Evidence Functions in Object Recognition |
| learning | Combination of Graph Filters for Graph Signal Modeling |
| learning | Combinations of Activation Functions |
| learning | Combinatorial Embedding Networks for Deep Graph Matching |
| learning | Combinatorial Solver for Graph Matching |
| learning | combined similarity measures from user data for image retrieval |
| learning | Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker |
| learning | common and label-specific features for multi-Label classification with correlation information |
| learning | Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks |
| learning | Common and Specific Visual Prompts for Domain Generalization |
| learning | common behaviors from large sets of unlabeled temporal series |
| learning | Common Harmonic Waves on Stiefel Manifold: A New Mathematical Approach for Brain Network Analyses |
| learning | Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems |
| learning | Common Sense through Visual Abstraction |
| learning | Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification |
| learning | Compact Appearance Representation for Video-Based Person Re-Identification |
| learning | Compact Binary Codes for Visual Tracking |
| learning | Compact Binary Descriptors with Unsupervised Deep Neural Networks |
| learning | Compact Binary Face Descriptor for Face Recognition |
| learning | compact ConvNets through filter pruning based on the saliency of a feature map |
| learning | Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition |
| learning | Compact Features for Human Activity Recognition Via Probabilistic First-Take-All |
| learning | Compact Geometric Features |
| learning | Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure |
| learning | Compact Multifeature Codes for Palmprint Recognition From a Single Training Image per Palm |
| learning | Compact q-Space Representations for Multi-Shell Diffusion-Weighted MRI |
| learning | Compact Recurrent Neural Networks with Block-Term Tensor Decomposition |
| learning | Compact Representations for LiDAR Completion and Generation |
| learning | Compact Visual Attributes for Large-Scale Image Classification |
| learning | Compact Visual Descriptors for Low Bit Rate Mobile Landmark Search |
| learning | Compatibility Coefficients for Relaxation Labeling Processes |
| learning | Compatible Embeddings |
| learning | Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes |
| learning | complementary semantic information for zero-shot recognition |
| learning | complementary Siamese networks for real-time high-performance visual tracking |
| learning | Complete 3D Morphable Face Models from Images and Videos |
| learning | Complete and Discriminative Direction Pattern for Robust Palmprint Recognition |
| learning | completed discriminative local features for texture classification |
| learning | complex background by multi-scale discriminative model |
| learning | complex image patterns with Scale and Shift Invariant Sparse Coding |
| learning | Complex Spatio-Temporal Configurations of Body Joints for Online Activity Recognition |
| learning | Complex Structural Descriptions from Examples |
| learning | Complexity-Aware Cascades for Deep Pedestrian Detection |
| learning | Complexity-Aware Cascades for Pedestrian Detection |
| learning | Component-Level Sparse Representation for Image and Video Categorization |
| learning | component-level sparse representation using histogram information for image classification |
| learning | Composite Latent Structures for 3D Human Action Representation and Recognition |
| learning | Compositional Categorization Models |
| learning | Compositional Neural Information Fusion for Human Parsing |
| learning | Compositional Radiance Fields of Dynamic Human Heads |
| learning | Compositional Representation for 4D Captures with Neural ODE |
| learning | Compositional Representations for Few-Shot Recognition |
| learning | Compositional Sparse Bimodal Models |
| learning | Compositional Visual Concepts with Mutual Consistency |
| learning | comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions |
| learning | compressed image classification features |
| learning | Compressible 360° Video Isomers |
| learning | Compression from Limited Unlabeled Data |
| learning | Computational Models of Video Memorability from fMRI Brain Imaging |
| learning | Concept Embeddings with Combined Human-Machine Expertise |
| learning | Concepts by Modeling Relationships |
| learning | Concise and Descriptive Attributes for Visual Recognition |
| learning | Concordant Attention via Target-aware Alignment for Visible-Infrared Person Re-identification |
| learning | Conditional Attributes for Compositional Zero-Shot Learning |
| learning | Conditional Attributes for Compositional Zero-Shot Learning |
| learning | Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment |
| learning | Conditional Random Fields for Classification of Hyperspectral Images |
| learning | Conditional Random Fields for Stereo |
| learning | conditional variational autoencoders with missing covariates |
| learning | Confidence Measures by Multi-modal Convolutional Neural Networks |
| learning | confidence transformation for handwritten Chinese text recognition |
| learning | Connectivity of Neural Networks from a Topological Perspective |
| learning | Connectivity with Graph Convolutional Networks |
| learning | Consensus Representation for Weak Style Classification |
| learning | consensus-aware semantic knowledge for remote sensing image captioning |
| learning | Consistent Discretizations of the Total Variation |
| learning | Consistent Feature Representation for Cross-Modal Multimedia Retrieval |
| learning | Consistent Global-Local Representation for Cross-Domain Facial Expression Recognition |
| learning | consistent region features for lifelong person re-identification |
| learning | content and style: Joint action recognition and person identification from human skeletons |
| learning | content-social influential features for influence analysis |
| learning | Content-Weighted Deep Image Compression |
| learning | Context Cues for Synapse Segmentation |
| learning | context for collective activity recognition |
| learning | Context Graph for Person Search |
| learning | context sensitive similarity measure on pair fusion graph |
| learning | context-aware sparse representation for single image super-resolution |
| learning | context-free grammars using tabular representations |
| learning | Context-Sensitive Shape Similarity by Graph Transduction |
| learning | context-sensitive similarity by shortest path propagation |
| learning | Contextual Causality between Daily Events from Time-consecutive Images |
| learning | Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks |
| learning | Contextual Dependencies for Optical Flow with Recurrent Neural Networks |
| learning | contextual dissimilarity on tensor product graph for visual re-ranking |
| learning | contextual relationships in mammograms using a hierarchical pyramid neural network |
| learning | contextual rules for priming object categories in images |
| learning | Contextual Variations for Video Segmentation |
| learning | Contextually Fused Audio-Visual Representations for Audio-Visual Speech Recognition |
| learning | Continuous Exposure Value Representations for Single-Image HDR Reconstruction |
| learning | Continuous Face Age Progression: A Pyramid of GANs |
| learning | Continuous Facial Actions From Speech for Real-Time Animation |
| learning | Continuous Image Representation with Local Implicit Image Function |
| learning | Continuous Implicit Representation for Near-Periodic Patterns |
| learning | Continuous Mesh Representation with Spherical Implicit Surface |
| learning | continuous temporal embedding of videos using pattern theory |
| learning | Continuous-Time Dynamics With Attention |
| learning | contour-fragment-based shape model with And-Or tree representation |
| learning | Contours for Point Cloud Completion |
| learning | contrastive feature distribution model for interaction recognition |
| learning | Contrastive Representation for Semantic Correspondence |
| learning | Control Policies of Driverless Vehicles from UAV Video Streams in Complex Urban Environments |
| learning | Controllable Face Generator from Disjoint Datasets |
| learning | Controllable ISP for Image Enhancement |
| learning | Converged Propagations With Deep Prior Ensemble for Image Enhancement |
| learning | Convolution Feature Aggregation via Edge Attention Convolution Network for Person Re-Identification |
| learning | Convolutional Domain-Robust Representations for Cross-View Face Recognition |
| learning | Convolutional Networks for Content-Weighted Image Compression |
| learning | Convolutional Nonlinear Features for K Nearest Neighbor Image Classification |
| learning | Convolutional Transforms for Lossy Point Cloud Geometry Compression |
| learning | Cooperative Neural Modules for Stylized Image Captioning |
| learning | Cooperative Visual Dialog Agents with Deep Reinforcement Learning |
| learning | Cooperative Visual Dialog Agents with Deep Reinforcement Learning |
| learning | Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution |
| learning | Correlation Filter With Detection Response For Visual Tracking |
| learning | correlation filters in independent feature channels for robust visual tracking |
| learning | correlation information for multi-label feature selection |
| learning | Correspondence From the Cycle-Consistency of Time |
| learning | Correspondence Structures for Person Re-Identification |
| learning | Correspondence Uncertainty via Differentiable Nonlinear Least Squares |
| learning | Correspondences Between Visual Features and Functional Features |
| learning | Correspondences in Knee MR Images from the Osteoarthritis Initiative |
| learning | cost function for graph classification with open-set methods |
| learning | Cost Functions for Graph Matching |
| learning | Coupled Classifiers with RGB images for RGB-D object recognition |
| learning | coupled conditional random field for image decomposition with application on object categorization |
| learning | Coupled Convolutional Networks Fusion for Video Saliency Prediction |
| learning | Coupled Feature Spaces for Cross-Modal Matching |
| learning | Covariant Feature Detectors |
| learning | CRFs for Image Parsing with Adaptive Subgradient Descent |
| learning | CRFs Using Graph Cuts |
| learning | Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss |
| learning | criterion and inductive behaviour |
| learning | crop regions for content-aware generation of thumbnail images |
| learning | Cross Space Mapping via DNN Using Large Scale Click-Through Logs |
| learning | Cross-Channel Representations for Semantic Segmentation |
| learning | Cross-Domain Information Transfer for Location Recognition and Clustering |
| learning | Cross-Domain Landmarks for Heterogeneous Domain Adaptation |
| learning | Cross-Domain Semantic-Visual Relationships for Transductive Zero-Shot Learning |
| learning | Cross-Domain Semantic-Visual Relationships for Transductive Zero-Shot Learning |
| learning | Cross-Media Joint Representation With Sparse and Semisupervised Regularization |
| learning | Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples |
| learning | Cross-Modal Contrastive Features for Video Domain Adaptation |
| learning | cross-modal correlations by exploring inter-word semantics and stacked co-attention |
| learning | Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch |
| learning | Cross-Modal Deep Representations for Robust Pedestrian Detection |
| learning | Cross-Modal Embeddings for Cooking Recipes and Food Images |
| learning | Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images |
| learning | Cross-Modal Representations for Language-Based Image Manipulation |
| learning | Cross-Modal Retrieval with Noisy Labels |
| learning | Cross-Modality Representations From Multi-Modal Images |
| learning | cross-modality similarity for multinomial data |
| learning | Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation |
| learning | Cross-Scale Weighted Prediction for Efficient Neural Video Compression |
| learning | Cross-Spectral Similarity Measures with Deep Convolutional Neural Networks |
| learning | cross-task relations for panoptic driving perception |
| learning | Cross-Video Neural Representations for High-Quality Frame Interpolation |
| learning | crowd behavior for event recognition |
| learning | Crowdsourced User Preferences for Visual Summarization of Image Collections |
| learning | Curves for the Analysis of Multiple Instance Classifiers |
| learning | Customised Decision Trees for Domain-knowledge Constraints |
| learning | Customized Visual Models with Retrieval-Augmented Knowledge |
| learning | Daily Human Mobility with a Transformer-Based Model |
| learning | Data Augmentation Strategies for Object Detection |
| learning | Data Augmentation with Online Bilevel Optimization for Image Classification |
| learning | Data Consistency and its Application to Dynamic MR Imaging |
| learning | Data Terms for Non-blind Deblurring |
| learning | data-driven image similarity measure |
| learning | Data-Driven Reflectance Priors for Intrinsic Image Decomposition |
| learning | Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution |
| learning | Debiased Representations via Conditional Attribute Interpolation |
| learning | Decision Trees Recurrently Through Communication |
| learning | decision trees with taxonomy of propositionalized attributes |
| learning | Deconvolution Network for Semantic Segmentation |
| learning | Decorrelated Representations Efficiently Using Fast Fourier Transform |
| learning | Decoupled Representations for Human Pose Forecasting |
| learning | deep and compact models for gesture recognition |
| learning | deep architectures for AI |
| learning | Deep Binary Descriptor with Multi-Quantization |
| learning | Deep Binary Descriptors via Bitwise Interaction Mining |
| learning | Deep Classifiers Consistent with Fine-Grained Novelty Detection |
| learning | Deep CNN Denoiser Prior for Image Restoration |
| learning | deep CNNs for impulse noise removal in images |
| learning | Deep Co-Occurrence Features |
| learning | deep compact channel features for object detection in traffic scenes |
| learning | deep compact descriptor with bagging auto-encoders for object retrieval |
| learning | Deep Conditional Neural Network for Image Segmentation |
| learning | Deep Context-Aware Features over Body and Latent Parts for Person Re-identification |
| learning | Deep Convolutional Embeddings for Face Representation Using Joint Sample- and Set-Based Supervision |
| learning | Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification |
| learning | deep cross-scale feature propagation for indoor semantic segmentation |
| learning | Deep Descriptors with Scale-Aware Triplet Networks |
| learning | Deep Dictionary for Hyperspectral Image Denoising |
| learning | deep discriminative embeddings via joint rescaled features and log-probability centers |
| learning | deep edge prior for image denoising |
| learning | Deep Embeddings via Margin-Based Discriminate Loss |
| learning | deep face representation with long-tail data: An aggregate-and-disperse approach |
| learning | deep facial expression features from image and optical flow sequences using 3D CNN |
| learning | deep feature correspondence for unsupervised anomaly detection and segmentation |
| learning | Deep Feature Representations with Domain Guided Dropout for Person Re-identification |
| learning | Deep Features for Discriminative Localization |
| learning | Deep Features for Giant Panda Gender Classification using Face Images |
| learning | Deep Features for Hierarchical Classification of Mobile Phone Face Datasets in Heterogeneous Environments |
| learning | deep features for image emotion classification |
| learning | Deep Features for Multiple Object Tracking by Using a Multi-Task Learning Strategy |
| learning | Deep Features for Multiple Object Tracking by Using a Multi-Task Learning Strategy |
| learning | Deep Features for One-Class Classification |
| learning | deep features for online person tracking using non-overlapping cameras: A survey |
| learning | deep features for task-independent EEG-based biometric verification |
| learning | deep filter banks in parallel for texture recognition |
| learning | Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild |
| learning | Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds |
| learning | deep kernels in the space of monotone conjunctive polynomials |
| learning | Deep Latent Variable Models by Short-Run MCMC Inference with Optimal Transport Correction |
| learning | Deep Local Features with Multiple Dynamic Attentions for Large-Scale Image Retrieval |
| learning | Deep Lucas-Kanade Siamese Network for Visual Tracking |
| learning | Deep Match Kernels for Image-Set Classification |
| learning | Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision |
| learning | deep morphological networks with neural architecture search |
| learning | Deep Multi-Level Similarity for Thermal Infrared Object Tracking |
| learning | Deep Network for Detecting 3D Object Keypoints and 6D Poses |
| learning | Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals |
| learning | Deep Non-blind Image Deconvolution Without Ground Truths |
| learning | Deep Object Detectors from 3D Models |
| learning | deep part-aware embedding for person retrieval |
| learning | Deep Patch Representation for Probabilistic Graphical Model-Based Face Sketch Synthesis |
| learning | Deep Priors for Image Dehazing |
| learning | Deep Relationship for Object Detection |
| learning | Deep Representation for Face Alignment with Auxiliary Attributes |
| learning | Deep Representation for Imbalanced Classification |
| learning | Deep Representation for Place Recognition in SLAM |
| learning | Deep Representation with Large-Scale Attributes |
| learning | deep representations for ground-to-aerial geolocalization |
| learning | Deep Representations for Photo Retouching |
| learning | Deep Representations of Appearance and Motion for Anomalous Event Detection |
| learning | Deep Representations of Fine-Grained Visual Descriptions |
| learning | Deep Representations with Probabilistic Knowledge Transfer |
| learning | Deep Scene Curve for Fast and Robust Underwater Image Enhancement |
| learning | Deep Semantic Segmentation Network Under Multiple Weakly-Supervised Constraints for Cross-Domain Remote Sensing Image Semantic Segmentation |
| learning | Deep Sharable and Structural Detectors for Face Alignment |
| learning | deep similarity models with focus ranking for fabric image retrieval |
| learning | Deep Sketch Abstraction |
| learning | Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification |
| learning | Deep Spatial Lung Features by 3D Convolutional Neural Network for Early Cancer Detection |
| learning | Deep Spatial-Spectral Features for Material Segmentation in Hyperspectral Images |
| learning | Deep Spatio-Temporal Dependence for Semantic Video Segmentation |
| learning | deep spatiotemporal features for video captioning |
| learning | Deep Structure-Preserving Image-Text Embeddings |
| learning | Deep Structured Active Contours End-to-End |
| learning | deep transmission network for single image dehazing |
| learning | deep-sea substrate types with visual topic models |
| learning | Deeply Aggregated Alternating Minimization for General Inverse Problems |
| learning | deeply coupled autoencoders for smartphone based robust periocular verification |
| learning | Deeply Supervised Good Features to Match for Dense Monocular Reconstruction |
| learning | Defects in Old Movies from Manually Assisted Restoration |
| learning | deformable action templates from cluttered videos |
| learning | Deformable Hourglass Networks (DHGN) for Unconstrained Face Alignment |
| learning | Deformable Image Registration From Optimization: Perspective, Modules, Bilevel Training and Beyond |
| learning | Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy |
| learning | Deformable Models for Tracking the Human Body |
| learning | deformable shape manifolds |
| learning | Deformations of Human Arm Movement to Adapt to Environmental Constraints |
| learning | Deformations with Parallel Transport |
| learning | Degradation Representations for Image Deblurring |
| learning | Degradation-Invariant Representation for Robust Real-World Person Re-Identification |
| learning | Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution |
| learning | Delaunay Surface Elements for Mesh Reconstruction |
| learning | Delicate Local Representations for Multi-person Pose Estimation |
| learning | denoising bounds for noisy images |
| learning | Dense and Continuous Optical Flow From an Event Camera |
| learning | Dense Correspondence via 3D-Guided Cycle Consistency |
| learning | Dense Correspondences for Non-Rigid Point Clouds With Two-Stage Regression |
| learning | Dense Correspondences for Video Objects |
| learning | Dense Facial Correspondences in Unconstrained Images |
| learning | Dense Optical-Flow Trajectory Patterns for Video Object Extraction |
| learning | Dense Wide Baseline Stereo Matching for People |
| learning | Depth Calibration of Time-of-Flight Cameras |
| learning | Depth Cues from Focal Stack for Light Field Depth Estimation |
| learning | Depth Estimation for Transparent and Mirror Surfaces |
| learning | depth from a single image using visual-depth words |
| learning | Depth from Endoscopic Images |
| learning | Depth from Focus in the Wild |
| learning | Depth from Monocular Videos Using Direct Methods |
| learning | Depth From Single Images With Deep Neural Network Embedding Focal Length |
| learning | Depth from Single Monocular Images Using Deep Convolutional Neural Fields |
| learning | Depth from Stereo |
| learning | Depth via Leveraging Semantics: Self-Supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance |
| learning | Depth with Convolutional Spatial Propagation Network |
| learning | Depth-Density Priors for Fourier-Based Unpaired Image Restoration |
| learning | Depth-Guided Convolutions for Monocular 3D Object Detection |
| learning | descriptive visual representation for image classification and annotation |
| learning | Descriptor Networks for 3D Shape Synthesis and Analysis |
| learning | Descriptor, Confidence, and Depth Estimation in Multi-view Stereo |
| learning | descriptors for object recognition and 3D pose estimation |
| learning | Descriptors With Cube Loss for View-Based 3-D Object Retrieval |
| learning | Detail-Structure Alternative Optimization for Blind Super-Resolution |
| learning | Detailed Face Reconstruction from a Single Image |
| learning | Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis from Monocular Image |
| learning | Detection with Diverse Proposals |
| learning | Detectors Quickly with Stationary Statistics |
| learning | Deterministic Finite Automata with a Smart State Labeling Evolutionary Algorithm |
| learning | diagram parts with hidden random fields |
| learning | Dictionaries as a Sum of Kronecker Products |
| learning | Dictionaries for Matching Pursuits Based Video Coders |
| learning | dictionaries from correlated data: Application to fMRI data analysis |
| learning | Dictionaries of Discriminative Image Patches |
| learning | dictionaries of kinematic primitives for action classification |
| learning | Dictionaries With Bounded Self-Coherence |
| learning | Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation |
| learning | dictionary on manifolds for image classification |
| learning | dictionary via subspace segmentation for sparse representation |
| learning | Differential Invariants of Planar Curves |
| learning | Dilation Factors for Semantic Segmentation of Street Scenes |
| learning | dimensionality and orientations of 3D objects |
| learning | Direct Optimization for scene understanding |
| learning | Directed Intention-driven Activities using Co-Clustering |
| learning | Directional Local Pairwise Bases with Sparse Coding |
| learning | directly from synthetic point clouds for in-the-wild 3D face recognition |
| learning | Discrete Matrix Factorization Models |
| learning | Discrete Representations From Reference Images for Large Scale Factor Image Super-Resolution |
| learning | discriminability-preserving histogram representation from unordered features for multibiometric feature-fused-template protection |
| learning | Discriminant Direction Binary Palmprint Descriptor |
| learning | Discriminant Face Descriptor |
| learning | Discriminant Face Descriptor for Face Recognition |
| learning | discriminant grassmann kernels for image-set classification |
| learning | discriminated and correlated patches for multi-view object detection using sparse coding |
| learning | Discriminating Features for Gender Recognition of Real World Faces |
| learning | Discriminative Aggregation Network for Video-Based Face Recognition |
| learning | Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification |
| learning | Discriminative alpha-beta-Divergences for Positive Definite Matrices |
| learning | Discriminative and Generalizable Representations by Spatial-Channel Partition for Person Re-Identification |
| learning | Discriminative and Generative Shape Embeddings for Three-Dimensional Shape Retrieval |
| learning | discriminative and meaningful samples for generalized zero shot classification |
| learning | Discriminative and Shareable Features for Scene Classification |
| learning | Discriminative and Transformation Covariant Local Feature Detectors |
| learning | Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data |
| learning | discriminative binary codes for finger vein recognition |
| learning | Discriminative Binary Codes for Large-scale Cross-modal Retrieval |
| learning | Discriminative Canonical Correlations for Object Recognition with Image Sets |
| learning | Discriminative Chamfer Regularization |
| learning | Discriminative Collections of Part Detectors for Object Recognition |
| learning | discriminative compact binary face descriptor for kinship verification |
| learning | Discriminative Compact Representation for Hyperspectral Imagery Classification |
| learning | Discriminative Cross-Modality Features for RGB-D Saliency Detection |
| learning | Discriminative Data Fitting Functions for Blind Image Deblurring |
| learning | discriminative dictionaries with partially labeled data |
| learning | Discriminative Dictionary for Group Sparse Representation |
| learning | Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and Sample-to-Sample Distances |
| learning | Discriminative Feature Representation for Estimating Smoke Density of Smoky Vehicle Rear |
| learning | discriminative feature representation with pixel-level supervision for forest smoke recognition |
| learning | Discriminative Feature with CRF for Unsupervised Video Object Segmentation |
| learning | discriminative features and metrics for measuring action similarity |
| learning | Discriminative Features Based on Distribution |
| learning | discriminative features for fast frame-based action recognition |
| learning | Discriminative Features for Ground-Based Cloud Classification via Mutual Information Maximization |
| learning | Discriminative Features via Label Consistent Neural Network |
| learning | discriminative features via weights-biased softmax loss |
| learning | Discriminative Features with Class Encoder |
| learning | Discriminative Features with Region Attention and Refinement Network for Facial Expression Recognition in the Wild |
| learning | Discriminative Hidden Structural Parts for Visual Tracking |
| learning | Discriminative Hierarchical Features for Object Recognition |
| learning | Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions |
| learning | Discriminative Key Poses for Action Recognition |
| learning | Discriminative Latent Attributes for Zero-Shot Classification |
| learning | Discriminative LBP-Histogram Bins for Facial Expression Recognition |
| learning | discriminative local binary patterns for face recognition |
| learning | Discriminative Local Patterns with Unrestricted Structure for Face Recognition |
| learning | discriminative localization from weakly labeled data |
| learning | Discriminative Model Prediction for Tracking |
| learning | Discriminative Motion Feature for Enhancing Multi-Modal Action Recognition |
| learning | discriminative occlusion feature for depth ordering inference on monocular image |
| learning | Discriminative Part Detectors for Image Classification and Cosegmentation |
| learning | Discriminative Part Features Through Attentions For Effective And Scalable Person Search |
| learning | Discriminative Pattern for Real-Time Car Brand Recognition |
| learning | Discriminative Prototypes with Dynamic Time Warping |
| learning | Discriminative Reconstructions for Unsupervised Outlier Removal |
| learning | discriminative region representation for person retrieval |
| learning | Discriminative Representation For Facial Expression Recognition From Uncertainties |
| learning | Discriminative Representation for Skeletal Action Recognition Using LSTM Networks |
| learning | Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction |
| learning | discriminative representations for multi-label image recognition |
| learning | Discriminative Representations for Skeleton Based Action Recognition |
| learning | Discriminative Shrinkage Deep Networks for Image Deconvolution |
| learning | discriminative singular value decomposition representation for face recognition |
| learning | Discriminative Space-Time Action Parts from Weakly Labelled Videos |
| learning | discriminative space-time actions from weakly labelled videos |
| learning | Discriminative Sparse Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery |
| learning | Discriminative Spatial Relations for Detector Dictionaries: An Application to Pedestrian Detection |
| learning | discriminative spatial representation for image classification |
| learning | Discriminative Spectral Bands for Material Classification |
| learning | discriminative subregions and pattern orders for facial gender classification |
| learning | discriminative supplementary features to attributes for novel-category classification |
| learning | discriminative trajectorylet detector sets for accurate skeleton-based action recognition |
| learning | discriminative update adaptive spatial-temporal regularized correlation filter for RGB-T tracking |
| learning | Discriminative Video Representations Using Adversarial Perturbations |
| learning | Discriminative Visual N-grams from Mid-level Image Features |
| learning | discriminative visual semantic embedding for zero-shot recognition |
| learning | Discriminatively Reconstructed Source Data for Object Recognition With Few Examples |
| learning | Discriminatory Deep Clustering Models |
| learning | Disentangled Feature Representation for Hybrid-Distorted Image Restoration |
| learning | Disentangled Feature Representations For Anomaly Detection |
| learning | Disentangled Features for NERF-Based Face Reconstruction |
| learning | Disentangled Multimodal Representations for the Fashion Domain |
| learning | Disentangled Representation for Multi-View 3D Object Recognition |
| learning | Disentangled Representation Implicitly Via Transformer for Occluded Person Re-Identification |
| learning | disentangled representations for controllable human motion prediction |
| learning | Disentangled Representations for Identity Preserving Surveillance Face Camouflage |
| learning | Disentangled Representations via Independent Subspaces |
| learning | Disentangled Representations via Mutual Information Estimation |
| learning | Disentangled Representations with Latent Variation Predictability |
| learning | Disentanglement with Decoupled Labels for Vision-Language Navigation |
| learning | disentangling and fusing networks for face completion under structured occlusions |
| learning | distance functions for image retrieval |
| learning | distance metric for semi-supervised image segmentation |
| learning | distance metric regression for facial age estimation |
| learning | Distance Metrics with Contextual Constraints for Image Retrieval |
| learning | Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images |
| learning | Distances Between Graph Nodes and Edges |
| learning | Distances for Arbitrary Visual Features |
| learning | Distinctive Margin toward Active Domain Adaptation |
| learning | Distortion Invariant Representation for Image Restoration from a Causality Perspective |
| learning | Distribution Independent Latent Representation for 3D Face Disentanglement |
| learning | Distributions of Shape Trajectories from Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms |
| learning | diverse and deep clues for person reidentification |
| learning | Diverse Fashion Collocation by Neural Graph Filtering |
| learning | Diverse Image Colorization |
| learning | Diverse Models for End-to-End Ensemble Tracking |
| learning | Diverse Models: The Coulomb Structured Support Vector Machine |
| learning | Diverse Tone Styles for Image Retouching |
| learning | document structure for retrieval and classification |
| learning | Domain Invariant Prompt for Vision-Language Models |
| learning | Domain Invariant Representations for Generalizable Person Re-Identification |
| learning | Domain Knowledge for Facade Labelling |
| learning | Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms |
| learning | domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement |
| learning | Domain-Adaptive Landmark Detection-Based Self-Supervised Video Synchronization for Remote Sensing Panorama |
| learning | Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation |
| learning | domain-invariant feature for robust depth-image-based 3D shape retrieval |
| learning | domain-shared group-sparse representation for unsupervised domain adaptation |
| learning | doubly sparse transforms for image representation |
| learning | Doubly Sparse Transforms for Images |
| learning | Driver Braking Behavior Using Smartphones, Neural Networks and the Sliding Correlation Coefficient: Road Anomaly Case Study |
| learning | Driving Behaviors for Automated Cars in Unstructured Environments |
| learning | Driving Models From Parallel End-to-End Driving Data Set |
| learning | dual attention enhancement feature for visible-infrared person re-identification |
| learning | Dual Convolutional Neural Networks for Low-Level Vision |
| learning | Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue |
| learning | Dual Geometric Low-Rank Structure for Semisupervised Hyperspectral Image Classification |
| learning | Dual Low-Rank Representation for Multi-Label Micro-Video Classification |
| learning | Dual Memory Dictionaries for Blind Face Restoration |
| learning | Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images |
| learning | Dual Priors for JPEG Compression Artifacts Removal |
| learning | Dual Semantic Relations With Graph Attention for Image-Text Matching |
| learning | Dual Transformation Networks for Image Contrast Enhancement |
| learning | Dual-fused Modality-aware Representations for RGBD Tracking |
| learning | Dual-Level Deep Representation for Thermal Infrared Tracking |
| learning | Dual-Pooling Graph Neural Networks for Few-Shot Video Classification |
| learning | Dual-Routing Capsule Graph Neural Network for Few-Shot Video Classification |
| learning | Dynamic Alignment via Meta-filter for Few-shot Learning |
| learning | Dynamic Alignment via Meta-filter for Few-shot Learning |
| learning | Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer |
| learning | dynamic background for weakly supervised moving object detection |
| learning | dynamic Bayesian network discriminatively for human activity recognition |
| learning | dynamic Bayesian network models via cross-validation |
| learning | Dynamic Event Descriptions in Image Sequences |
| learning | Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis |
| learning | Dynamic Generative Attention for Single Image Super-Resolution |
| learning | Dynamic GMM for Attention Distribution on Single-Face Videos |
| learning | Dynamic Graph for Overtaking Strategy in Autonomous Driving |
| learning | Dynamic Guidance for Depth Image Enhancement |
| learning | Dynamic Hierarchical Models for Anytime Scene Labeling |
| learning | Dynamic Hybrid Markov Random Field for Image Labeling |
| learning | Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines |
| learning | Dynamic Memory Networks for Object Tracking |
| learning | Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation |
| learning | dynamic relationship between joints for 3D hand pose estimation from single depth map |
| learning | Dynamic Relationships for 3D Human Motion Prediction |
| learning | Dynamic Relationships for Facial Expression Recognition Based on Graph Convolutional Network |
| learning | Dynamic Routing for Semantic Segmentation |
| learning | Dynamic Scene-Conditioned 3D Object Detectors |
| learning | Dynamic Siamese Network for Visual Object Tracking |
| learning | Dynamic Spatial-Temporal Regularization for UAV Object Tracking |
| learning | Dynamic Style Kernels for Artistic Style Transfer |
| learning | Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos |
| learning | Dynamical Shape Prior for Level Set based Cell Tracking |
| learning | dynamics for exemplar-based gesture recognition |
| learning | Dynamics of Complex Motions from Image Sequences |
| learning | Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking |
| learning | Early-Vision Computations |
| learning | Edge-Specific Kernel Functions For Pairwise Graph Matching |
| learning | edit cost estimation models for graph edit distance |
| learning | EEG Topographical Representation for Classification Via Convolutional Neural Network |
| learning | Effect of Lay People in Gesture-Based Locomotion in Virtual Reality |
| learning | effective binary descriptors for micro-expression recognition transferred by macro-information |
| learning | Effective Binary Descriptors via Cross Entropy |
| learning | effective classifiers with Z-value measure based on genetic programming |
| learning | effective color features for content based image retrieval in dermatology |
| learning | Effective Event Models to Recognize a Large Number of Human Actions |
| learning | effective features for 3D face recognition |
| learning | effective Gait features using LSTM |
| learning | Effective Global Receptive Field for Facial Expression Recognition |
| learning | effective human pose estimation from inaccurate annotation |
| learning | Effective Image Metrics from Few Pairwise Examples |
| learning | Effective Intrinsic Features to Boost 3D-Based Face Recognition |
| learning | Effective RGB-D Representations for Scene Recognition |
| learning | Effectiveness Evaluation of Lesson Plan on Streamline in Model Design Course |
| learning | efficient and interpretable prototypes from data for nearest neighbor classification method |
| learning | Efficient Binarized Object Detectors With Information Compression |
| learning | Efficient Binary Codes From High-Level Feature Representations for Multilabel Image Retrieval |
| learning | efficient codes for 3D face recognition |
| learning | Efficient Convolutional Networks through Network Slimming |
| learning | Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks |
| learning | efficient facial landmark model for human attractiveness analysis |
| learning | Efficient GANs for Image Translation via Differentiable Masks and Co-Attention Distillation |
| learning | Efficient Hash Codes for Fast Graph-Based Data Similarity Retrieval |
| learning | Efficient Linear Predictors for Motion Estimation |
| learning | Efficient Multi-Agent Cooperative Visual Exploration |
| learning | Efficient Photometric Feature Transform for Multi-view Stereo |
| learning | Efficient Single-Stage Pedestrian Detectors by Asymptotic Localization Fitting |
| learning | Efficient Sparse and Low Rank Models |
| learning | efficient, explainable and discriminative representations for pulmonary nodules classification |
| learning | Efficiently- The Deep CNNs-Tree Network |
| learning | Ego 3D Representation as Ray Tracing |
| learning | Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches |
| learning | Emotion Representations from Verbal and Nonverbal Communication |
| learning | Emotional-Blinded Face Representations |
| learning | End-to-End Action Interaction by Paired-Embedding Data Augmentation |
| learning | End-to-End Lossy Image Compression: A Benchmark |
| learning | Energy Based Inpainting for Optical Flow |
| learning | Energy-Based Models with Adversarial Training |
| learning | Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns |
| learning | Enhanced 3d Models for Vehicle Tracking |
| learning | Enhanced Acoustic Latent Representation for Small Scale Affective Corpus with Adversarial Cross Corpora Integration |
| learning | Enhanced Resolution-Wise Features For Human Pose Estimation |
| learning | Enriched Features for Fast Image Restoration and Enhancement |
| learning | Enriched Features for Real Image Restoration and Enhancement |
| learning | Enriched Hop-Aware Correlation for Robust 3D Human Pose Estimation |
| learning | ensemble classifiers via restricted Boltzmann machines |
| learning | Ensembles of Potential Functions for Structured Prediction with Latent Variables |
| learning | environment for sign language, A |
| learning | environmental features for pose estimation |
| learning | epipolar geometry from image sequences |
| learning | Epipolar-Spatial Relationship for Light Field Image Super-Resolution |
| learning | equivariant structured output SVM regressors |
| learning | error-correcting graph matching with a multiclass neural network |
| learning | Error-Driven Curriculum for Crowd Counting |
| learning | Euclidean-to-Riemannian Metric for Point-to-Set Classification |
| learning | Evasion Strategy in Pursuit-Evasion by Deep Q-network |
| learning | Event Guided High Dynamic Range Video Reconstruction |
| learning | event guided network for salient object detection |
| learning | Event Representations by Encoding the Temporal Context |
| learning | Event Representations for Temporal Segmentation of Image Sequences by Dynamic Graph Embedding |
| learning | Event-Based Motion Deblurring |
| learning | Event-driven Video Deblurring and Interpolation |
| learning | Everyday Manipulation Tasks from Observation |
| learning | Everything about Anything: Webly-Supervised Visual Concept Learning |
| learning | Everything about Anything: Webly-Supervised Visual Concept Learning |
| learning | evolving user's behaviors on location-based social networks |
| learning | Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects |
| learning | explicit and implicit visual manifolds by information projection |
| learning | explicit video attributes from mid-level representation for video captioning |
| learning | Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition |
| learning | Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition |
| learning | Expressive Prompting With Residuals for Vision Transformers |
| learning | Extended Depth of field Hyperspectral Imaging |
| learning | Extremal Representations with Deep Archetypal Analysis |
| learning | Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number |
| learning | Face Age Progression: A Pyramid Architecture of GANs |
| learning | Face Appearance under Different Lighting Conditions |
| learning | Face Deblurring Fast and Wide |
| learning | Face Detection, Neural Nets, SVM |
| learning | Face Image Super-Resolution Through Facial Semantic Attribute Transformation and Self-Attentive Structure Enhancement |
| learning | face recognition from limited training data using deep neural networks |
| learning | Facial Action Units from Web Images with Scalable Weakly Supervised Clustering |
| learning | facial action units with spatiotemporal cues and multi-label sampling |
| learning | Facial Point Response for Alignment by Purely Convolutional Network |
| learning | Facial Representations from the Cycle-consistency of Face |
| learning | Fair Classifiers with Partially Annotated Group Labels |
| learning | Fashion By Simulated Human Supervision |
| learning | Fashion Compatibility Across Apparel Categories for Outfit Recommendation |
| learning | Fashion Compatibility from In-the-wild Images |
| learning | Fashion Compatibility With Context Conditioning Embedding |
| learning | Fast and Robust Target Models for Video Object Segmentation |
| learning | Fast Converging, Effective Conditional Generative Adversarial Networks with a Mirrored Auxiliary Classifier |
| learning | Fast Emulators of Binary Decision Processes |
| learning | Fast Low-Rank Projection for Image Classification |
| learning | Fast Sample Re-weighting Without Reward Data |
| learning | Feature Aggregation for Deep 3D Morphable Models |
| learning | feature aggregation in temporal domain for re-identification |
| learning | Feature Channel Weighting for Real-Time Visual Tracking |
| learning | Feature Characteristics |
| learning | feature contexts by transformer and CNN hybrid deep network for weakly supervised person search |
| learning | Feature Descriptors Using Camera Pose Supervision |
| learning | Feature Distance Measures for Image Correspondences |
| learning | Feature Embeddings for Discriminant Model Based Tracking |
| learning | Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework |
| learning | Feature Fusion for Unsupervised Domain Adaptive Person Re-identification |
| learning | feature fusion strategies for various image types to detect salient objects |
| learning | Feature Hierarchies: A Layer-Wise Tag-Embedded Approach |
| learning | Feature Pyramids for Human Pose Estimation |
| learning | Feature Recovery Transformer for Occluded Person Re-Identification |
| learning | feature relevance and similarity metrics in image databases |
| learning | Feature Representation and Partial Correlation for Multimodal Multi-Label Data |
| learning | Feature Representation for Face Verification |
| learning | Feature Subspaces for Appearance-Based Bundle Adjustment |
| learning | Feature Trajectories Using Gabor Filter Bank for Human Activity Segmentation and Recognition |
| learning | feature transforms is an easier problem than feature selection |
| learning | feature weights of symbols, with application to symbol spotting |
| learning | Feature-Sparse Principal Subspace |
| learning | Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning |
| learning | Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning |
| learning | Features and Parts for Fine-Grained Recognition |
| learning | Features by Watching Objects Move |
| learning | features combination for human action recognition from skeleton sequences |
| learning | Features for Fingerprint Classification |
| learning | Features for Human Action Recognition Using Multilayer Architectures |
| learning | features for offline handwritten signature verification using deep convolutional neural networks |
| learning | features for predicting OCR accuracy |
| learning | features for streak detection in dermoscopic color images using localized radial flux of principal intensity curvature |
| learning | Features for Tissue Classification with the Classification Restricted Boltzmann Machine |
| learning | Features for Tracking |
| learning | features from covariance matrix of gabor wavelet for face recognition under adverse conditions |
| learning | Features of Intra-Consistency and Inter-Diversity: Keys Toward Generalizable Deepfake Detection |
| learning | features on robotic surgical tools |
| learning | Features Robust to Image Variations with Siamese Networks for Facial Expression Recognition |
| learning | Federated Visual Prompt in Null Space for MRI Reconstruction |
| learning | Few-shot Segmentation from Bounding Box Annotations |
| learning | Filter Basis for Convolutional Neural Network Compression |
| learning | Filter Functions in Regularisers by Minimising Quotients |
| learning | Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration |
| learning | filter selection policies for interpretable image denoising in parametrised action space |
| learning | Filters for the 2D Wavelet Transform |
| learning | filters in Gaussian process classification problems |
| learning | Fine-Grained Features for Pixel-wise Video Correspondences |
| learning | Fine-Grained Image Similarity with Deep Ranking |
| learning | Fine-Grained Segmentation of 3D Shapes without Part Labels |
| learning | fingerprint minutiae location and type |
| learning | Fingerprint Orientation Fields Using Continuous Restricted Boltzmann Machines |
| learning | Fixation Point Strategy for Object Detection and Classification |
| learning | Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization |
| learning | Flexible Binary Code for Linear Projection Based Hashing with Random Forest |
| learning | Flexible Features for Conditional Random Fields |
| learning | Flexible Models from Image Sequences |
| learning | Flexible Sprites in Video Layers |
| learning | flipping and rotation invariant sparsifying transforms |
| learning | Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision |
| learning | for Active 3D Mapping |
| learning | for Computational Imaging |
| learning | for Computational Imaging |
| learning | for Detecting Anomalies |
| learning | for Disparity Estimation Through Feature Constancy |
| learning | for feature selection and shape detection |
| learning | for Graph-Based Sensorless Freehand 3D Ultrasound |
| learning | for High Dynamic Range Generation |
| learning | for Image Quality Evaluation, CNN, GAN |
| learning | for mismatch removal via graph attention networks |
| learning | for Multi-view 3D Tracking in the Context of Particle Filters |
| learning | for Optical Flow Using Stochastic Optimization |
| learning | for Principal Components, Eigen Representations |
| learning | for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences |
| learning | for stereo vision using the structured support vector machine |
| learning | for Structured Prediction Using Approximate Subgradient Descent with Working Sets |
| learning | for Super Resolution |
| learning | for Video Compression |
| learning | for Video Compression With Hierarchical Quality and Recurrent Enhancement |
| learning | for Video Super-Resolution Through HR Optical Flow Estimation |
| learning | Foreground Information Bottleneck for few-shot semantic segmentation |
| learning | Foreground-Background Segmentation from Improved Layered GANs |
| learning | Foresightful Dense Visual Affordance for Deformable Object Manipulation |
| learning | Formation of Physically-Based Face Attributes |
| learning | Foveal Sensing Strategies in Unconstrained Surveillance Environments |
| learning | Framework for Age Rank Estimation Based on Face Images With Scattering Transform, A |
| learning | framework for degraded document image binarization using Markov Random Field, A |
| learning | Framework for Morphological Operators Using Counter-Harmonic Mean, A |
| learning | Framework for Object Recognition on Image Understanding, A |
| learning | framework for robust hashing of face images, A |
| learning | Framework for Robust Obstacle Detection, Recognition, and Tracking |
| learning | framework for shape retrieval based on multilayer perceptrons, A |
| learning | Framework for the Automatic and Accurate Segmentation of Cardiac Tagged MRI Images, A |
| learning | framework for the optimization and automation of document binarization methods, A |
| learning | Free-Form Deformations for 3D Object Reconstruction |
| learning | Frequency-aware Dynamic Network for Efficient Super-Resolution |
| learning | Frequency-Specific Quantization Scaling in VVC for Standard-Compliant Task-Driven Image Coding |
| learning | Frequent Behaviors of the Users in Intelligent Environments |
| learning | from #Barcelona Instagram Data What Locals and Tourists Post About Its Neighbourhoods |
| learning | from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests |
| learning | from a single labeled face and a stream of unlabeled data |
| learning | From a Small Number of Training Examples by Exploiting Object Categories |
| learning | from Accidents: Spatial Intelligence Applied to Road Accidents with Insights from a Case Study in Setubal District, Portugal |
| learning | from adaptive neural control for a class of pure-feedback systems |
| learning | from All Vehicles |
| learning | From Ambiguous Labels for Lung Nodule Malignancy Prediction |
| learning | from Ambiguously Labeled Face Images |
| learning | from ambiguously labeled images |
| learning | from Better Supervision: Self-distillation for Learning with Noisy Labels |
| learning | from Better Supervision: Self-distillation for Learning with Noisy Labels |
| learning | From Coding Features: High Efficiency Rate Control for AOMedia Video 1 |
| learning | From Cross-Domain Media Streams for Event-of-Interest Discovery |
| learning | from crowds with variational Gaussian processes |
| learning | from Data Stream Based on Random Projection and Hoeffding Tree Classifier |
| learning | from data: A post classification method for annual land cover analysis in urban areas |
| learning | from Designers: Fashion Compatibility Analysis Via Dataset Distillation |
| learning | from Diffusion-Weighted Magnetic Resonance Images Using Graph Kernels |
| learning | from Enhanced Contextual Similarity in Brain Imaging Data for Classification of Schizophrenia |
| learning | from EPI-Volume-Stack for Light Field image angular super-resolution |
| learning | From Errors in Super-Resolution |
| learning | From Examples in the Small Sample Case: Face Expression Recognition |
| learning | from Extrinsic and Intrinsic Supervisions for Domain Generalization |
| learning | From GPS Trajectories of Floating Car for CNN-Based Urban Road Extraction With High-Resolution Satellite Imagery |
| learning | From Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition |
| learning | from High-Dimensional Data in Multitask/Multilabel Classification |
| learning | from Ideal Edge for Image Restoration |
| learning | From Images: A Distillation Learning Framework for Event Cameras |
| learning | From Images: A Distillation Learning Framework for Event Cameras |
| learning | From Imbalanced Data With Deep Density Hybrid Sampling |
| learning | from Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding |
| learning | From Incorrectness: Active Learning With Negative Pre-Training and Curriculum Querying for Histological Tissue Classification |
| learning | From Incorrectness: Active Learning With Negative Pre-Training and Curriculum Querying for Histological Tissue Classification |
| learning | from interpolated images using neural networks for digital forensics |
| learning | from Labeled and Unlabeled Data Using Random Walks |
| learning | From Large-Scale Noisy Web Data With Ubiquitous Reweighting for Image Classification |
| learning | from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game |
| learning | from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game |
| learning | From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision |
| learning | From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision |
| learning | From Limited or Imperfect Data |
| learning | from Longitudinal Face Demonstration: Where Tractable Deep Modeling Meets Inverse Reinforcement Learning |
| learning | from Longitudinal Face Demonstration: Where Tractable Deep Modeling Meets Inverse Reinforcement Learning |
| learning | from massive noisy labeled data for image classification |
| learning | from Millions of 3D Scans for Large-Scale 3D Face Recognition |
| learning | from Mistakes: Object Movement Classification by the Boosted Features |
| learning | from mobile contexts to minimize the mobile location search latency |
| learning | From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces |
| learning | from multi metrics for stereoscopic 3D image quality assessment |
| learning | from multimodal and multitemporal earth observation data for building damage mapping |
| learning | from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion |
| learning | from multiple annotators for medical image segmentation |
| learning | from multiple annotators using kernel alignment |
| learning | from multiple annotators: Distinguishing good from random labelers |
| learning | From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT |
| learning | From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification |
| learning | from Multiple Sources for Video Summarisation |
| learning | from Narrated Instruction Videos |
| learning | From Naturalistic Driving Data for Human-Like Autonomous Highway Driving |
| learning | from negative example in relevance feedback for content-based image retrieval |
| learning | from Nighttime Observations of Gas Flaring in North Dakota for Better Decision and Policy Making |
| learning | From Noisy Anchors for One-Stage Object Detection |
| learning | From Noisy Correspondence With Tri-Partition for Cross-Modal Matching |
| learning | from Noisy Data with Robust Representation Learning |
| learning | from Noisy Data with Robust Representation Learning |
| learning | From Noisy Labels by Regularized Estimation of Annotator Confusion |
| learning | from Noisy Labels via Discrepant Collaborative Training |
| learning | from Noisy Labels via Meta Credible Label Elicitation |
| learning | from Noisy Labels with Coarse-to-fine Sample Credibility Modeling |
| learning | from Noisy Labels with Decoupled Meta Label Purifier |
| learning | from Noisy Labels with Distillation |
| learning | from Noisy Large-Scale Datasets with Minimal Supervision |
| learning | from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization |
| learning | from Noisy Web Data with Category-Level Supervision |
| learning | from One Example through Shared Densities on Transforms |
| learning | From Paired and Unpaired Data: Alternately Trained CycleGAN for Near Infrared Image Colorization |
| learning | From Partially Labeled Data for Multi-Organ and Tumor Segmentation |
| learning | from partially supervised data using mixture models and belief functions |
| learning | from PhotoShop Operation Videos: The PSOV Dataset |
| learning | From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation |
| learning | from Pixel-Level Noisy Label: A New Perspective for Light Field Saliency Detection |
| learning | from Real Images to Model Lighting Variations for Face Images |
| learning | from rehabilitation: A bi-manual interface approach |
| learning | from Scale-invariant Examples for Domain Adaptation in Semantic Segmentation |
| learning | from scratch a confidence measure |
| learning | from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition |
| learning | From Short Text Streams With Topic Drifts |
| learning | from Simulated and Unsupervised Images through Adversarial Training |
| learning | from sparse codes |
| learning | from summaries of videos: Applying batch mode active learning to face-based biometrics |
| learning | from summaries of videos: Applying batch mode active learning to face-based biometrics |
| learning | From Synthetic Animals |
| learning | From Synthetic CT Images via Test-Time Training for Liver Tumor Segmentation |
| learning | From Synthetic Data for Crowd Counting in the Wild |
| learning | From Synthetic Data for Crowd Instance Segmentation in the Wild |
| learning | from Synthetic Data: Addressing Domain Shift for Semantic Segmentation |
| learning | from Synthetic Humans |
| learning | From Synthetic Images via Active Pseudo-Labeling |
| learning | From Synthetic Photorealistic Raindrop for Single Image Raindrop Removal |
| learning | From Synthetic Shadows for Shadow Detection and Removal |
| learning | from Synthetic Vehicles |
| learning | From Teacher's Failure: A Reflective Learning Paradigm for Knowledge Distillation |
| learning | From Teacher's Failure: A Reflective Learning Paradigm for Knowledge Distillation |
| learning | from Temporal Gradient for Semi-supervised Action Recognition |
| learning | from the 2018 Western Japan Heavy Rains to Detect Floods during the 2019 Hagibis Typhoon |
| learning | from the CNN-based Compressed Domain |
| learning | From the Fleet: Map Attributes for Energetic Representation of Driving Profiles |
| learning | from the Informality. Using GIS Tools to Analyze the Structure of Autopoietic Urban Systems in the Smart Perspective |
| learning | from the Master: Distilling Cross-modal Advanced Knowledge for Lip Reading |
| learning | from the Mistakes of Others: Matching Errors in Cross-Dataset Learning |
| learning | from the Mistakes of Others: Matching Errors in Cross-Dataset Learning |
| learning | from the Negativity: Deep Negative Correlation Meta-learning for Adversarial Image Classification |
| learning | from the Negativity: Deep Negative Correlation Meta-learning for Adversarial Image Classification |
| learning | from the Schema Learning System |
| learning | from the Schema Learning System |
| learning | from the Web: Webly Supervised Meta-Learning for Masked Face Recognition |
| learning | from the Web: Webly Supervised Meta-Learning for Masked Face Recognition |
| learning | from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning |
| learning | from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning |
| learning | from Unique Perspectives: User-aware Saliency Modeling |
| learning | from Unlabeled 3D Environments for Vision-and-Language Navigation |
| learning | from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency |
| learning | from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency |
| learning | from User Behavior in Image Retrieval: Application of Market Basket Analysis |
| learning | from Video and Text via Large-Scale Discriminative Clustering |
| learning | From Visual Demonstrations via Replayed Task-Contrastive Model-Agnostic Meta-Learning |
| learning | From Visual Demonstrations via Replayed Task-Contrastive Model-Agnostic Meta-Learning |
| learning | from Weak and Noisy Labels for Semantic Segmentation |
| learning | from weakly labeled faces and video in the wild |
| learning | from Weakly-Labeled Clinical Data for Automatic Thyroid Nodule Classification in Ultrasound Images |
| learning | From Web Data With Self-Organizing Memory Module |
| learning | from Web Data: Improving Crowd Counting via Semi-Supervised Learning |
| learning | from Web Data: Improving Crowd Counting via Semi-Supervised Learning |
| learning | From Web Recipe-Image Pairs for Food Recognition: Problem, Baselines and Performance |
| learning | From Web Videos for Event Classification |
| learning | from What is Already Out There: Few-shot Sign Language Recognition with Online Dictionaries |
| learning | full context feature for human motion prediction |
| learning | Full Pairwise Affinities for Spectral Segmentation |
| learning | full-reference quality-guided discriminative gradient cues for lane detection based on neural networks |
| learning | Fully Convolutional Networks for Iterative Non-blind Deconvolution |
| learning | function-based object classification from 3D imagery |
| learning | Fundamental Visual Concepts Based on Evolved Multi-Edge Concept Graph |
| learning | Furniture Compatibility with Graph Neural Networks |
| learning | Fused Pixel and Feature-Based View Reconstructions for Light Fields |
| learning | Future-Aware Correlation Filters for Efficient UAV Tracking |
| learning | Fuzzy Algorithm for Motion Planning of Mobile Robots |
| learning | Gabor Magnitude Features for Palmprint Recognition |
| learning | Gabor Texture Features for Fine-Grained Recognition |
| learning | Gait Parameters for Locomotion in Virtual Reality Systems |
| learning | Gait Representation From Massive Unlabelled Walking Videos: A Benchmark |
| learning | Gated Non-Local Residual for Single-Image Rain Streak Removal |
| learning | Gaussian Conditional Random Fields for Low-Level Vision |
| learning | gaze biases with head motion for head pose-free gaze estimation |
| learning | Gaze Transitions from Depth to Improve Video Saliency Estimation |
| learning | gender from human gaits and faces |
| learning | Gender with Support Faces |
| learning | General and Distinctive 3D Local Deep Descriptors for Point Cloud Registration |
| learning | General Descriptors for Image Matching With Regression Feedback |
| learning | general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold |
| learning | general optical flow subspaces for egomotion estimation and detection of motion anomalies |
| learning | General-Purpose Representations for Cross-Domain Hyperspectral Images Classification with Small Samples |
| learning | Generalisable Omni-Scale Representations for Person Re-Identification |
| learning | Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations |
| learning | Generalized Feature for Temporal Action Detection: Application for Natural Driving Action Recognition Challenge |
| learning | Generalized Knowledge From a Single Domain on Urban-Scene Segmentation |
| learning | Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality Assessment |
| learning | Generalized Transformation Equivariant Representations Via AutoEncoding Transformations |
| learning | generalized visual odometry using position-aware optical flow and geometric bundle adjustment |
| learning | Generative ConvNets via Multi-grid Modeling and Sampling |
| learning | Generative Graph Prototypes Using Simplified von Neumann Entropy |
| learning | Generative Models for Monocular Body Pose Estimation |
| learning | Generative Models for Multi-Activity Body Pose Estimation |
| learning | Generative Models of Object Parts from a Few Positive Examples |
| learning | Generative Models of Scene Features |
| learning | Generative Models of Shape Handles |
| learning | Generative Models of Textured 3D Meshes from Real-World Images |
| learning | Generative Models of Tissue Organization with Supervised GANs |
| learning | Generative Models via Discriminative Approaches |
| learning | Generative Structure Prior for Blind Text Image Super-resolution |
| learning | generative texture models with extended Fields-of-experts |
| learning | Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories |
| learning | Generator Networks for Dynamic Patterns |
| learning | Generic Feature Representations with Adversarial Regularization for Person Re-Identification |
| learning | Generic Human Body Models |
| learning | Generic Invariances in Object Recognition: Translation and Scale |
| learning | Generic Prior Models for Visual Computation |
| learning | generic third-order MGRF texture models |
| learning | Geocentric Object Pose in Oblique Monocular Images |
| learning | Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs |
| learning | geodesic CRF model for image segmentation |
| learning | geodesic-aware local features from RGB-D images |
| learning | Geographical Hierarchy Features via a Compositional Model |
| learning | Geographically Distributed Data for Multiple Tasks Using Generative Adversarial Networks |
| learning | Geomatics for Restoration: Icomos Summer School in Ossola Valley |
| learning | geometric consistency and discrepancy for category-level 6D object pose estimation from point clouds |
| learning | Geometric Equivalence between Patterns Using Embedding Neural Networks |
| learning | Geometric Hashing Functions for Model Based Object Recognition |
| learning | Geometric Transformation for Point Cloud Completion |
| learning | Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs |
| learning | geometrical transforms between multi camera views using Canonical Correlation Analysis |
| learning | Geometry-Aware Kernels in a Regularization Framework |
| learning | Geometry-aware Representations by Sketching |
| learning | Gestures for Visually Mediated Interaction |
| learning | Global and Cluster-Specific Classifiers for Robust Brain Extraction in MR Data |
| learning | global and local features using graph neural networks for person re-identification |
| learning | Global Brain Microstructure Maps Using Trainable Sparse Encoders |
| learning | global cost function for face alignment |
| learning | Global Evapotranspiration Dataset Corrections from a Water Cycle Closure Supervision |
| learning | global image representation with generalized-mean pooling and smoothed average precision for large-scale CBIR |
| learning | Global Pose Features in Graph Convolutional Networks for 3d Human Pose Estimation |
| learning | Global-aware Kernel for Image Harmonization |
| learning | Globally Optimized Object Detector via Policy Gradient |
| learning | Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification |
| learning | GMM Using Elliptically Contoured Distributions |
| learning | GMRF Structures for Spatial Priors |
| learning | Goals from Failure |
| learning | good features for Active Shape Models |
| learning | Good Features to Transfer Across Tasks and Domains |
| learning | good prototypes for classification using filtering and abstraction of instances |
| learning | Good Regions to Deblur Images |
| learning | Gradient Fields for Shape Generation |
| learning | grammar rules of building parts from precise models and noisy observations |
| learning | Grammars for Architecture-Specific Facade Parsing |
| learning | Grammatical Models for Object Recognition |
| learning | graph affinities for spectral graph-based salient object detection |
| learning | Graph Convolutional Networks for Multi-Label Recognition and Applications |
| learning | Graph Cut Energy Functions for Image Segmentation |
| learning | Graph Distances with Message Passing Neural Networks |
| learning | graph edit distance by graph neural networks |
| learning | Graph Embeddings for Compositional Zero-shot Learning |
| learning | Graph Embeddings for Compositional Zero-shot Learning |
| learning | Graph Embeddings for Open World Compositional Zero-Shot Learning |
| learning | Graph Embeddings for Open World Compositional Zero-Shot Learning |
| learning | Graph Enhanced Spatial-Temporal Coherence for Video Anomaly Detection |
| learning | Graph Features for Colored Mesh Visual Quality Assessment |
| learning | Graph Matching |
| learning | Graph Matching Substitution Weights based on a Linear Regression |
| learning | Graph Matching with a Graph-Based Perceptron in a Classification Context |
| learning | Graph Matching: Oriented to Category Modeling from Cluttered Scenes |
| learning | Graph Model for Different Dimensions Image Matching |
| learning | Graph Neural Networks for Image Style Transfer |
| learning | graph prototypes for shape recognition |
| learning | Graph Regularisation for Guided Super-Resolution |
| learning | Graph Structure for Multi-Label Image Classification Via Clique Generation |
| learning | Graph Topology Representation with Attention Networks |
| learning | Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation |
| learning | Graph-convolutional Representations for Point Cloud Denoising |
| learning | graph-matching edit-costs based on the optimality of the oracle's node correspondences |
| learning | Graph-Matching Substitution Costs Based on the Optimality of the Oracle's Correspondence |
| learning | Graphical Model for Human Motion Characterization Using Genetic Optimization |
| learning | Graphical Model Parameters with Approximate Marginal Inference |
| learning | Graphs for Knowledge Transfer with Limited Labels |
| learning | Graphs to Match |
| learning | Graphs to Model Visual Objects across Different Depictive Styles |
| learning | Grimaces by Watching TV |
| learning | Group Activities from Skeletons without Individual Action Labels |
| learning | Group Activity in Soccer Videos from Local Motion |
| learning | group-based dictionaries for discriminative image representation |
| learning | Group-Based Sparse and Low-Rank Representation for Hyperspectral Image Classification |
| learning | Grouping Strategies for 2D and 3D Object Recognition |
| learning | Guided Attention Masks for Facial Action Unit Recognition |
| learning | Guided Convolutional Network for Depth Completion |
| learning | Hadamard-Product-Propagation for Image Dehazing and Beyond |
| learning | Hand Articulations by Hallucinating Heat Distribution |
| learning | Hand/Eye Coordination By an Active Observer |
| learning | handwriting by evolution: a conceptual framework for performance evaluation and tuning |
| learning | handwriting with pen-based systems: computational issues |
| learning | Handwritten Digit Recognition by the Max-Min Posterior Pseudo-Probabilities Method |
| learning | Harmonised Pleiades and Sentinel-2 Surface Reflectances |
| learning | Hash Codes with Listwise Supervision |
| learning | Heavily-Degraded Prior for Underwater Object Detection |
| learning | hetero-synaptic delays for motion detection in a single layer of spiking neurons |
| learning | Hidden Graphs From Samples |
| learning | Hidden Semantic Cues Using Support Vector Clustering |
| learning | hierarchical 3D kernel descriptors for RGB-D action recognition |
| learning | Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis |
| learning | Hierarchical Bag of Words Using Naive Bayes Clustering |
| learning | Hierarchical Cross-Modal Association for Co-Speech Gesture Generation |
| learning | Hierarchical Decision Trees for Single-Image Super-Resolution |
| learning | Hierarchical Feature Representation in Depth Image |
| learning | Hierarchical Features for Scene Labeling |
| learning | Hierarchical Features for Visual Object Tracking With Recursive Neural Networks |
| learning | Hierarchical Features with Joint Latent Space Energy-Based Prior |
| learning | Hierarchical Graph Neural Networks for Image Clustering |
| learning | Hierarchical Image Representation with Sparsity, Saliency and Locality |
| learning | hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis |
| learning | Hierarchical Models for Class-Specific Reconstruction from Natural Data |
| learning | Hierarchical Models of Complex Daily Activities from Annotated Videos |
| learning | Hierarchical Models of Scenes, Objects, and Parts |
| learning | Hierarchical Modular Networks for Video Captioning |
| learning | hierarchical poselets for human parsing |
| learning | hierarchical representations for face verification with convolutional deep belief networks |
| learning | Hierarchical Representations of Objects |
| learning | Hierarchical Self-Attention for Video Summarization |
| learning | Hierarchical Semantic Description Via Mixed-Norm Regularization for Image Understanding |
| learning | Hierarchical Shape Models from Examples |
| learning | hierarchical similarity metrics |
| learning | Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging |
| learning | hierarchical spatio-temporal pattern for human activity prediction |
| learning | Hierarchical Spectral-Spatial Features for Hyperspectral Image Classification |
| learning | Hierarchical Variational Autoencoders With Mutual Information Maximization for Autoregressive Sequence Modeling |
| learning | hierarchical video representation for action recognition |
| learning | Hierarchy Aware Features for Reducing Mistake Severity |
| learning | High Dynamic Range from Outdoor Panoramas |
| learning | High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos |
| learning | high-dimensional image statistics for abnormality detection on medical images |
| learning | high-dimensional networks with nonlinear interactions by a novel tree-embedded graphical model |
| learning | High-Fidelity Face Texture Completion without Complete Face Texture |
| learning | High-Level Feature by Deep Belief Networks for 3-D Model Retrieval and Recognition |
| learning | high-level features by fusing multi-view representation of MLS point clouds for 3D object recognition in road environments |
| learning | High-level Features for Satellite Image Classification With Limited Labeled Samples |
| learning | high-level independent components of images through a spectral representation |
| learning | High-Level Judgments of Urban Perception |
| learning | High-Order Filters for Efficient Blind Deconvolution of Document Photographs |
| learning | High-Order Multi-View Representation by New Tensor Canonical Correlation Analysis |
| learning | High-Order Structures for Texture Retrieval |
| learning | High-Speed Flight in the Wild |
| learning | Higher Order Potentials for MRFs |
| learning | Higher-Order Markov Models for Object Tracking in Image Sequences |
| learning | Higher-order Transition Models in Medium-scale Camera Networks |
| learning | histopathological regions of interest by fusing bottom-up and top-down information |
| learning | Hough Forest with Depth-Encoded Context for Object Detection |
| learning | Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation |
| learning | How to Combine Internal and External Denoising Methods |
| learning | how to combine sensory-motor functions into a robust behavior |
| learning | how to find patterns or objects in complex scenes |
| learning | how to inpaint from global image statistics |
| learning | How to MIMIC: Using Model Explanations to Guide Deep Learning Training |
| learning | How to MIMIC: Using Model Explanations to Guide Deep Learning Training |
| learning | How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets |
| learning | Human Actions by Combining Global Dynamics and Local Appearance |
| learning | human actions via information maximization |
| learning | human behaviour patterns in work environments |
| learning | Human Cognition via fMRI Analysis Using 3d Cnn and Graph Neural Network |
| learning | Human Dynamics in Autonomous Driving Scenarios |
| learning | human face detection in cluttered scenes |
| learning | Human Interaction by Interactive Phrases |
| learning | Human Mesh Recovery in 3D Scenes |
| learning | human motion models from unsegmented videos |
| learning | Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition |
| learning | human preferences to sharpen images |
| learning | Human Priors for Task-Constrained Grasping |
| learning | human shape model from multiple databases with correspondence considering kinematic consensus |
| learning | Human-Human Interactions in Images from Weak Textual Supervision |
| learning | Human-Like Opponent Behavior for Interactive Computer Games |
| learning | Human-Object Interaction Detection Using Interaction Points |
| learning | Human-Object Interaction via Interactive Semantic Reasoning |
| learning | Human-Object Interactions by Graph Parsing Neural Networks |
| learning | Human-Robot Interaction for Robot-Assisted Pedestrian Flow Optimization |
| learning | Human-to-Robot Handovers from Point Clouds |
| learning | Hybrid Image Templates (HIT) by Information Projection |
| learning | Hybrid Part Filters for Scene Recognition |
| learning | hybrid ranking representation for person re-identification |
| learning | Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space |
| learning | Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space |
| learning | Hybrid Semantic Affinity for Point Cloud Segmentation |
| learning | Hyperedge Replacement Grammars for Graph Generation |
| learning | Hypergraph-regularized Attribute Predictors |
| learning | HyperSurfaces with Neural Networks |
| learning | Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation |
| learning | Identity-Invariant Motion Representations for Cross-ID Face Reenactment |
| learning | Illuminant Estimation from Object Recognition |
| learning | Illumination Models While Tracking |
| learning | image aesthetic subjectivity from attribute-aware relational reasoning network |
| learning | Image Aesthetics by Learning Inpainting |
| learning | Image Aesthetics by Learning Inpainting |
| learning | image alignment without local minima for face detection and tracking |
| learning | Image Anchor Templates for Document Classification and Data Extraction |
| learning | Image and User Features for Recommendation in Social Networks |
| learning | Image and Video Compression Through Spatial-Temporal Energy Compaction |
| learning | Image Annotation: The Cite System |
| learning | image compressed sensing with sub-pixel convolutional generative adversarial network |
| learning | Image Context for Improved Computer-Aided Diagnosis |
| learning | image descriptors for matching based on Haar features |
| learning | Image Descriptors with Boosting |
| learning | Image Feature Extraction: Modeling, Tracking and Predicting Human Performance |
| learning | Image Harmonization in the Linear Color Space |
| learning | Image Inpainting from Incomplete Images using Self-Supervision |
| learning | image manifold using neighboring similarity integration |
| learning | Image Matching by Simply Watching Video |
| learning | Image Profile Enhancement and Denoising Statistics Priors for Single-Image Super-Resolution |
| learning | Image Representation via Attribute-Aware Attention Networks for Fashion Classification |
| learning | Image Representations by Completing Damaged Jigsaw Puzzles |
| learning | image representations from the pixel level via hierarchical sparse coding |
| learning | Image Representations Tied to Ego-Motion |
| learning | Image Representations Tied to Egomotion from Unlabeled Video |
| learning | image similarities via Probabilistic Feature Matching |
| learning | Image Similarity from Flickr Groups Using Fast Kernel Machines |
| learning | image similarity from Flickr groups using Stochastic Intersection Kernel Machines |
| learning | Image Statistics for Bayesian Tracking |
| learning | Image Structures for Optimizing Disparity Estimation |
| learning | Image to Symbol Conversion |
| learning | Image Transformations without Training Examples |
| learning | image Vicept description via mixed-norm regularization for large scale semantic image search |
| learning | Image-Adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-Time |
| learning | Image-Adaptive Codebooks for Class-Agnostic Image Restoration |
| learning | Image-Based Contaminant Detection in Wool Fleece from Noisy Annotations |
| learning | image-specific parameters for interactive segmentation |
| learning | Image-to-Image Translation Using Paired and Unpaired Training Samples |
| learning | images using compositional pattern-producing neural networks for source camera identification and digital demographic diagnosis |
| learning | Imbalanced Data with Vision Transformers |
| learning | Imbalanced Datasets With Maximum Margin Loss |
| learning | IMED via shift-invariant transformation |
| learning | Implicit Feature Alignment Function for Semantic Segmentation |
| learning | Implicit Fields for Generative Shape Modeling |
| learning | Implicit Functions for Dense 3D Shape Correspondence of Generic Objects |
| learning | Implicit Generative Models by Matching Perceptual Features |
| learning | implicit labeling-importance and label correlation for multi-label feature selection with streaming labels |
| learning | Implicit Surface Light Fields |
| learning | Implicit Templates for Point-Based Clothed Human Modeling |
| learning | Implicit Transfer for Person Re-identification |
| learning | Important Spatial Pooling Regions for Scene Classification |
| learning | in a self-organising pattern formation system |
| learning | in an Active Hybrid Vision System |
| learning | in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses |
| learning | in Computer Vision |
| learning | in Computer Vision |
| learning | in Computer Vision: Some Thoughts |
| learning | in Gibbsian Fields: How Accurate and How Fast Can It Be? |
| learning | in hidden annotation-based image retrieval |
| learning | in imbalanced relational data |
| learning | in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels |
| learning | in Navigation: Goal Finding in Graphs |
| learning | in Pattern Recognition: Some Thoughts |
| learning | in Precision Livestock Farming |
| learning | in Random Nets |
| learning | in Region-Based Image Retrieval with Generalized Support Vector Machines |
| learning | in Robot Vision Directed Reaching: A Comparison of Methods |
| learning | in Syntactic Recognition of Symbols Drawn on a Graphic Tablet |
| learning | in Target Tracking Techniques, Motion Model |
| learning | in the Frequency Domain |
| learning | incoherent light emission steering from metasurfaces using generative models |
| learning | Independent Object Motion From Unlabelled Stereoscopic Videos |
| learning | Indexing Functions for 3-D Model-Based Object Recognition |
| learning | Individual Speaking Styles for Accurate Lip to Speech Synthesis |
| learning | Individual Styles of Conversational Gesture |
| learning | individual-specific dictionaries with fused multiple features for face recognition |
| learning | Indoor Inverse Rendering with 3D Spatially-Varying Lighting |
| learning | Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction |
| learning | Informative and Discriminative Features for Facial Expression Recognition in the Wild |
| learning | informative and discriminative semantic features for robust facial expression recognition |
| learning | Informative Edge Maps for Indoor Scene Layout Prediction |
| learning | informative point classes for the acquisition of object model maps |
| learning | Inhomogeneous FRAME Models for Object Patterns |
| learning | Inhomogeneous Gibbs Model of Faces by Minimax Entropy |
| learning | initial feature weights for CBIR using query augmentation |
| learning | Inner-Group Relations on Point Clouds |
| learning | Instance Activation Maps for Weakly Supervised Instance Segmentation |
| learning | Instance and Task-Aware Dynamic Kernels for Few-Shot Learning |
| learning | Instance and Task-Aware Dynamic Kernels for Few-Shot Learning |
| learning | Instance Occlusion for Panoptic Segmentation |
| learning | Instance Segmentation by Interaction |
| learning | instance-aware object detection using determinantal point processes |
| learning | Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce |
| learning | Instance-level Spatial-Temporal Patterns for Person Re-identification |
| learning | Instance-Specific Adaptation for Cross-Domain Segmentation |
| learning | instance-to-class distance for human action recognition |
| learning | Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation |
| learning | integrated online indexing for image databases |
| learning | integrated perception-based speed control |
| learning | Intelligent Dialogs for Bounding Box Annotation |
| learning | inter-related visual dictionary for object recognition |
| learning | Inter-superpoint Affinity for Weakly Supervised 3d Instance Segmentation |
| learning | interaction protocols by mimicking understanding and reproducing human interactive behavior |
| learning | Interaction-Aware Guidance for Trajectory Optimization in Dense Traffic Scenarios |
| learning | interactions across sentiment and emotion with graph attention network and position encodings |
| learning | Interactions and Relationships Between Movie Characters |
| learning | interactive multi-object segmentation through appearance embedding and spatial attention |
| learning | interlaced sparse Sinkhorn matching network for video super-resolution |
| learning | Interleaved Cascade of Shrinkage Fields for Joint Image Dehazing and Denoising |
| learning | Internal Semantics with Expanded Categories for Generative Zero-shot Learning |
| learning | Internal Semantics with Expanded Categories for Generative Zero-shot Learning |
| learning | Interpolation via Regional Map for Pan-Sharpening |
| learning | Interpretable Forensic Representations via Local Window Modulation |
| learning | Interpretable Representation for 3D Point Clouds |
| learning | Interpretable Rules for Scalable Data Representation and Classification |
| learning | intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation |
| learning | Intra-Video Difference for Person Re-Identification |
| learning | Intrinsic Image Decomposition by Deep Neural Network with Perceptual Loss |
| learning | Intrinsic Image Decomposition from Watching the World |
| learning | Intrinsic Video Content Using Levenshtein Distance in Graph Partitioning |
| learning | Intrusion Detection: Supervised or Unsupervised? |
| learning | Intuitive Physics by Explaining Surprise |
| learning | Invariance From Generated Variance for Unsupervised Person Re-Identification |
| learning | invariance through imitation |
| learning | invariances with Stationary Subspace Analysis |
| learning | Invariant Color Features for Person Reidentification |
| learning | invariant color features with sparse topographic restricted Boltzmann machines |
| learning | Invariant Feature Hierarchies |
| learning | invariant features through topographic filter maps |
| learning | invariant region descriptor operators with genetic programming and the F-measure |
| learning | invariant representation for unsupervised domain adaptive thorax disease classification |
| learning | Invariant Representation for Unsupervised Image Restoration |
| learning | Invariant Representations and Risks for Semi-supervised Domain Adaptation |
| learning | Invariant Riemannian Geometric Representations Using Deep Nets |
| learning | invariant structure for object identification by using graph methods |
| learning | Invariant Visual Representations for Compositional Zero-Shot Learning |
| learning | Invariant Visual Representations for Compositional Zero-Shot Learning |
| learning | invariants to illumination changes typical of indoor environments: Application to image color correction |
| learning | Inverse Depth Regression for Pixelwise Visibility-Aware Multi-View Stereo Networks |
| learning | Invisible Markers for Hidden Codes in Offline-to-online Photography |
| learning | isometry-invariant representations for point cloud analysis |
| learning | Iteration-Dependent Denoisers for Model-Consistent Compressive Sensing |
| learning | Iteration-wise Generalized Shrinkage: Thresholding Operators for Blind Deconvolution |
| learning | Iterative Robust Transformation Synchronization |
| learning | Iterative Strategies in Multi-Expert Systems Using SVMs for Digit Recognition |
| learning | iteratively a classifier with the Bayesian Model Averaging Principle |
| learning | Joint 2D-3D Representations for Depth Completion |
| learning | Joint Gait Representation via Quintuplet Loss Minimization |
| learning | Joint Intensity-Depth Sparse Representations |
| learning | Joint Latent Space EBM Prior Model for Multi-layer Generator |
| learning | Joint Reconstruction of Hands and Manipulated Objects |
| learning | Joint Representations of Videos and Sentences with Web Image Search |
| learning | Joint Spatial-temporal Transformations for Video Inpainting |
| learning | Joint Top-Down and Bottom-up Processes for 3D Visual Inference |
| learning | Joint Visual Semantic Matching Embeddings for Language-guided Retrieval |
| learning | Joint-Sparse Codes for Calibration-Free Parallel MR Imaging |
| learning | JPEG Compression Artifacts for Image Manipulation Detection and Localization |
| learning | Kernel Expansions for Image Classification |
| learning | Kernel for Conditional Moment-Matching Discrepancy-Based Image Classification |
| learning | Kernel in Kernel-Based LDA for Face Recognition Under Illumination Variations |
| learning | kernel logistic regression in the presence of class label noise |
| learning | kernel parameters for kernel Fisher discriminant analysis |
| learning | Kernel Subspace Classifier |
| learning | Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition |
| learning | kernels for variants of normalized cuts: Convex relaxations and applications |
| learning | kernels from labels with ideal regularization |
| learning | key lines for multi-object tracking |
| learning | Kinematic Structure Correspondences Using Multi-Order Similarities |
| learning | knowledge representation with meta knowledge distillation for single image super-resolution |
| learning | Knowledge-Directed Visual Strategies |
| learning | Knowledge-Rich Sequential Model for Planar Homography Estimation in Aerial Video |
| learning | label correlations for multi-label image recognition with graph networks |
| learning | Label Semantics for Weakly Supervised Group Activity Recognition |
| learning | Landmark Guided Embeddings for Animal Re-identification |
| learning | Landmarks Motion from Speech for Speaker-agnostic 3d Talking Heads Generation |
| learning | Lane Graph Representations for Motion Forecasting |
| learning | language to symbol and language to vision mapping for visual grounding |
| learning | Laplacians in Chebyshev Graph Convolutional Networks |
| learning | large margin likelihoods for realtime head pose tracking |
| learning | Large-Scale Automatic Image Colorization |
| learning | Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization |
| learning | Latent Constituents for Recognition of Group Activities in Video |
| learning | Latent Dynamics for Autonomous Shape Control of Deformable Object |
| learning | latent geometric consistency for 6D object pose estimation in heavily cluttered scenes |
| learning | Latent Global Network for Skeleton-Based Action Prediction |
| learning | Latent Low-Rank and Sparse Embedding for Robust Image Feature Extraction |
| learning | Latent ODEs With Graph RNN for Multi-Channel Time Series Forecasting |
| learning | Latent Representations Across Multiple Data Domains Using Lifelong VaeGAN |
| learning | Latent Representations of 3D Human Pose with Deep Neural Networks |
| learning | Latent Stable Patterns for Image Understanding With Weak and Noisy Labels |
| learning | Latent Structural Relations with Message Passing Prior |
| learning | Latent Super-Events to Detect Multiple Activities in Videos |
| learning | Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures |
| learning | latent temporal structure for complex event detection |
| learning | Layer-Skippable Inference Network |
| learning | Layered Motion Segmentation of Video |
| learning | Layered Motion Segmentations of Video |
| learning | Layout and Style Reconfigurable GANs for Controllable Image Synthesis |
| learning | LBP structure by maximizing the conditional mutual information |
| learning | Less is More: 6D Camera Localization via 3D Surface Regression |
| learning | Light Field Synthesis with Multi-Plane Images: Scene Encoding as a Recurrent Segmentation Task |
| learning | lightness from human judgement on relative reflectance |
| learning | Lightweight and Superior Detectors with Feature Distillation for Onboard Remote Sensing Object Detection |
| learning | Lightweight Lane Detection CNNs by Self Attention Distillation |
| learning | Lightweight Low-Light Enhancement Network Using Pseudo Well-Exposed Images |
| learning | Lightweight Multi-Scale Feedback Residual Network for Single Image Super-Resolution |
| learning | Lightweight Neural Networks via Channel-Split Recurrent Convolution |
| learning | Lightweight Pedestrian Detector with Hierarchical Knowledge Distillation |
| learning | Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images |
| learning | Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images |
| learning | Linear Assignment Flows for Image Labeling via Exponential Integration |
| learning | Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors |
| learning | linear parameter-varying control of small-scale helicopter using episodic natural actor-critic method |
| learning | linear PCA with convex semi-definite programming |
| learning | Linear Regression via Single-Convolutional Layer for Visual Object Tracking |
| learning | Linear Transformations for Fast Image and Video Style Transfer |
| learning | Linguistic Association Towards Efficient Text-Video Retrieval |
| learning | Local and Deep Features for Efficient Cell Image Classification Using Random Forests |
| learning | Local and Global Priors for JPEG Image Artifacts Removal |
| learning | Local Appearances With Sparse Representation for Robust and Fast Visual Tracking |
| learning | local binary patterns for gender classification on real-world face images |
| learning | Local Convolutional Features for Face Recognition with 2D-Warping |
| learning | local descriptors by optimizing the keypoint-correspondence criterion |
| learning | Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning From Unlabeled Videos and 3D-Shape Retrieval |
| learning | Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning From Unlabeled Videos and 3D-Shape Retrieval |
| learning | Local Descriptors With a CDF-Based Dynamic Soft Margin |
| learning | Local Displacements for Point Cloud Completion |
| learning | Local Evidence for Shading and Reflectance |
| learning | Local Feature Descriptors for Multiple Object Tracking |
| learning | Local Feature Descriptors Using Convex Optimisation |
| learning | local feature descriptors with triplets and shallow convolutional neural networks |
| learning | local feature representation from matching, clustering and spatial transform |
| learning | Local Image Descriptors |
| learning | local image descriptors for word spotting |
| learning | local image descriptors using binary decision trees |
| learning | Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions |
| learning | Local Implicit Fourier Representation for Image Warping |
| learning | Local Languages and Their Application to DNA Sequence Analysis |
| learning | Local Metrics and Influential Regions for Classification |
| learning | local metrics from pairwise similarity data |
| learning | local models for 2D human motion tracking |
| learning | Local Objective Functions for Robust Face Model Fitting |
| learning | Local Patch Orientation with a Cascade of Sparse Regressors |
| learning | local pixel structure for face hallucination |
| learning | Local Quality-Aware Structures of Salient Regions for Stereoscopic Images via Deep Neural Networks |
| learning | Local Recurrent Models for Human Mesh Recovery |
| learning | Local Regularization for Variational Image Restoration |
| learning | Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment |
| learning | Local RGB-to-CAD Correspondences for Object Pose Estimation |
| learning | Local Similarity with Spatial Interrelations on Content-Based Image Retrieval |
| learning | Local-Global Contextual Adaptation for Multi-Person Pose Estimation |
| learning | Local-Global Multi-Graph Descriptors for RGB-T Object Tracking |
| learning | locality-constrained collaborative representation for robust face recognition |
| learning | Localization-Aware Target Confidence for Siamese Visual Tracking |
| learning | Localized Perceptual Similarity Metrics for Interactive Categorization |
| learning | Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks |
| learning | Locally Editable Virtual Humans |
| learning | Locally-Adaptive Decision Functions for Person Verification |
| learning | Log-Determinant Divergences for Positive Definite Matrices |
| learning | Logic Rules for Scene Interpretation Based on Markov Logic Networks |
| learning | long term face aging patterns from partially dense aging databases |
| learning | Long-range Information with Dual-Scale Transformers for Indoor Scene Completion |
| learning | Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network |
| learning | Long-Term Invariant Features for Vision-Based Localization |
| learning | Long-Term Spatial-Temporal Graphs for Active Speaker Detection |
| learning | Long-Term Structural Dependencies for Video Salient Object Detection |
| learning | Longterm Representations for Person Re-Identification Using Radio Signals |
| learning | Loss for Active Learning |
| learning | Loss for Active Learning |
| learning | low bending and low distortion manifold embeddings |
| learning | Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval |
| learning | Low Dimensional Invariant Signature of 3-D Object under Varying View and Illumination from 2-D Appearances |
| learning | Low-Dimensional Representation of Bivariate Histogram Data |
| learning | Low-Dimensional Temporal Representations with Latent Alignments |
| learning | Low-Level Vision |
| learning | low-rank and discriminative dictionary for image classification |
| learning | Low-Rank and Sparse Discriminative Correlation Filters for Coarse-to-Fine Visual Object Tracking |
| learning | Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification |
| learning | Low-Rank Graph With Enhanced Supervision |
| learning | Low-Rank Sparse Representations With Robust Relationship Inference for Image Memorability Prediction |
| learning | Low-Shot Generative Networks for Cross-Domain Data |
| learning | Major Pedestrian Flows in Crowded Scenes |
| learning | Manifold Structures With Subspace Segmentations |
| learning | mappings for face synthesis from near infrared to visual light images |
| learning | Maps for Indoor Mobile Robot Navigation |
| learning | Marginalization through Regression for Hand Orientation Inference |
| learning | Maritime Obstacle Detection from Weak Annotations by Scaffolding |
| learning | Markerless Human Pose Estimation from Multiple Viewpoint Video |
| learning | Markov Clustering Networks for Scene Text Detection |
| learning | Markov Networks by Analytic Center Cutting Plane Method |
| learning | Match Kernels on Grassmann Manifolds for Action Recognition |
| learning | Matching Behavior Differences for Compressing Vehicle Re-identification Models |
| learning | Material-Aware Local Descriptors for 3D Shapes |
| learning | Matrix Space Image Representations |
| learning | Maximally Monotone Operators for Image Recovery |
| learning | maximum excluding ellipsoids from imbalanced data with theoretical guarantees |
| learning | Maximum Margin Temporal Warping for Action Recognition |
| learning | mean progressive scattering using binomial truncated loss for image dehazing |
| learning | Mechanism for Parts Recognition in an Intelligent Assembly System, A |
| learning | Melanocytic Proliferation Segmentation in Histopathology Images from Imperfect Annotations |
| learning | Membership Functions in a Function-Based Object Recognition System |
| learning | Memory Augmented Cascading Network for Compressed Sensing of Images |
| learning | Memory-Augmented Unidirectional Metrics for Cross-modality Person Re-identification |
| learning | Memory-Guided Normality for Anomaly Detection |
| learning | Mesh Representations via Binary Space Partitioning Tree Networks |
| learning | Meshes for Dense Visual SLAM |
| learning | message-passing inference machines for structured prediction |
| learning | Meta Face Recognition in Unseen Domains |
| learning | Meta-class Memory for Few-Shot Semantic Segmentation |
| learning | Meta-Distance for Sequences by Learning a Ground Metric via Virtual Sequence Regression |
| learning | Meta-Distance for Sequences by Learning a Ground Metric via Virtual Sequence Regression |
| learning | method for association between vision and ego-motion which is Capable of Adapting to Arbitrary Image Distortion, A |
| learning | Method for Definite Canonicalization Based on Minimum Classification Error, A |
| learning | Method for Feature Correspondence with Outliers, A |
| learning | Method for Real-Time Repositioning in E-Hailing Services, A |
| learning | Methodologies to Generate Kernel-Learning-Based Image Downscaler for Arbitrary Scaling Factors |
| learning | Methodologies to Generate Kernel-Learning-Based Image Downscaler for Arbitrary Scaling Factors |
| learning | methods for generic object recognition with invariance to pose and lighting |
| learning | methods for melanoma recognition |
| learning | Metric Features for Writer-Independent Signature Verification using Dual Triplet Loss |
| learning | metric-topological maps for indoor mobile robot navigation |
| learning | Metrics for Shape Classification and Discrimination |
| learning | Metrics From Teachers: Compact Networks for Image Embedding |
| learning | mid-level features for recognition |
| learning | mid-level features from object hierarchy for image classification |
| learning | Mid-level Filters for Person Re-identification |
| learning | Midlevel Image Features for Natural Scene and Texture Classification |
| learning | Minutiae Neighborhoods: A New Binary Representation for Matching Fingerprints |
| learning | mixed templates for object recognition |
| learning | mixed-state Markov models for statistical motion texture tracking |
| learning | Mixture Models for Gender Classification Based on Facial Surface Normals |
| learning | mixture models using a genetic version of the EM algorithm |
| learning | mixture models with support vector machines for sequence classification and segmentation |
| learning | Mixtures of Offline and Online features for Handwritten Stroke Recognition |
| learning | mixtures of point distribution models with the EM algorithm |
| learning | Mixtures of Weighted Tree-Unions by Minimizing Description Length |
| learning | MLatent Representations for Generalized Zero-Shot Learning |
| learning | MLatent Representations for Generalized Zero-Shot Learning |
| learning | Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification |
| learning | Modal-Invariant Angular Metric by Cyclic Projection Network for VIS-NIR Person Re-Identification |
| learning | Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos |
| learning | modality-invariant binary descriptor for crossing palmprint to palm-vein recognition |
| learning | modality-invariant features for heterogeneous face recognition |
| learning | Modality-Specific Representations for Visible-Infrared Person Re-Identification |
| learning | Model Complexity in an Online Environment |
| learning | Model Descriptions |
| learning | model for multiple-prototype classification of strings, A |
| learning | Model Structure from Data: An Application to On-Line Handwriting |
| learning | Models for Actions and Person-Object Interactions with Transfer to Question Answering |
| learning | Models for Object Recognition |
| learning | Models for Object Recognition from Natural Language Descriptions |
| learning | Models for Predicting Recognition Performance |
| learning | Models of Animal Behaviour for a Robotic Sheepdog |
| learning | modes of structural variation in graphs |
| learning | modulation filter networks for weak signal detection in noise |
| learning | Monocular 3D Human Pose Estimation from Multi-view Images |
| learning | monocular 3D reconstruction of articulated categories from motion |
| learning | Monocular 3D Vehicle Detection Without 3D Bounding Box Labels |
| learning | Monocular Dense Depth from Events |
| learning | Monocular Depth by Distilling Cross-Domain Stereo Networks |
| learning | Monocular Depth Estimation Infusing Traditional Stereo Knowledge |
| learning | Monocular Depth Estimation with Unsupervised Trinocular Assumptions |
| learning | Monocular Face Reconstruction using Multi-View Supervision |
| learning | Monocular Regression of 3D People in Crowds via Scene-Aware Blending and De-Occlusion |
| learning | Monocular Visual Odometry via Self-supervised Long-term Modeling |
| learning | Montages of Transformed Latent Images as Representations of Objects That Change in Appearance |
| learning | moods and emotions from color combinations |
| learning | More Accurate Features for Semantic Segmentation in Cyclenet |
| learning | more discriminative clues with gradual attention for fine-grained visual categorization |
| learning | More Universal Representations for Transfer-Learning |
| learning | More Universal Representations for Transfer-Learning |
| learning | Morphological Operators for Depth Completion |
| learning | Motion Categories using both Semantic and Structural Information |
| learning | Motion Correlation for Tracking Articulated Human Body with a Rao-Blackwellised Particle Filter |
| learning | motion field of LiDAR point cloud with convolutional networks |
| learning | Motion from Images |
| learning | Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection |
| learning | motion patterns in crowded scenes using motion flow field |
| learning | Motion Patterns in Surveillance Video using HMM Clustering |
| learning | Motion Patterns in Videos |
| learning | Motion Priors for 4D Human Body Capture in 3D Scenes |
| learning | motion representation for real-time spatio-temporal action localization |
| learning | motion trajectories via self-organization |
| learning | Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation |
| learning | Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera |
| learning | Motion-Perceive Siamese Network for Robust Visual Object Tracking |
| learning | Moving Cast Shadows for Foreground Detection |
| learning | Multi-Attention Context Graph for Group-Based Re-Identification |
| learning | Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition |
| learning | Multi-category Classification in Bayesian Framework |
| learning | Multi-Class Segmentations From Single-Class Datasets |
| learning | Multi-Context Dynamic Listwise Relation for Generalizable Person Re-Identification |
| learning | multi-denoising autoencoding priors for image super-resolution |
| learning | Multi-domain Convolutional Neural Networks for Visual Tracking |
| learning | Multi-Expert Distribution Calibration for Long-Tailed Video Classification |
| learning | Multi-feature Based Spatially Regularized and Scale Adaptive Correlation Filters for Visual Tracking |
| learning | Multi-Granular Hypergraphs for Video-Based Person Re-Identification |
| learning | Multi-Granularity Features for Re-Identifying Figures in Portrait Thangka Images |
| learning | Multi-Graph Regularization for SVM Classification |
| learning | Multi-human Optical Flow |
| learning | Multi-Instance Deep Discriminative Patterns for Image Classification |
| learning | Multi-instance Enriched Image Representations via Non-greedy Ratio Maximization of the L1-Norm Distances |
| learning | Multi-instance Sub-pixel Point Localization |
| learning | multi-kernel distance functions using relative comparisons |
| learning | multi-label scene classification |
| learning | multi-lane trajectories using vehicle-based vision |
| learning | Multi-Layer Attention Aggregation Siamese Network for Robust RGBT Tracking |
| learning | multi-layer coarse-to-fine representations for large-scale image classification |
| learning | Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference |
| learning | Multi-Level Features for Improved 3D Reconstruction |
| learning | Multi-level Interaction Relations and Feature Representations for Group Activity Recognition |
| learning | multi-level weight-centric features for few-shot learning |
| learning | multi-level weight-centric features for few-shot learning |
| learning | Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization |
| learning | multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition |
| learning | Multi-modal Features for Dense Matching-based Confidence Estimation |
| learning | Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm |
| learning | Multi-Object Tracking and Segmentation From Automatic Annotations |
| learning | multi-planar scene models in multi-camera videos |
| learning | Multi-scale Block Local Binary Patterns for Face Recognition |
| learning | Multi-Scale Features for JPEG Image Artifacts Removal |
| learning | Multi-Scale Photo Exposure Correction |
| learning | Multi-scale Representations for Material Classification |
| learning | Multi-scale Representations with Single-stream Network for Video Retrieval |
| learning | multi-scale sparse representation for visual tracking |
| learning | multi-scale synergic discriminative features for prostate image segmentation |
| learning | Multi-Scene Absolute Pose Regression with Transformers |
| learning | Multi-Task Correlation Particle Filters for Visual Tracking |
| learning | Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation |
| learning | Multi-View Camera Relocalization With Graph Neural Networks |
| learning | multi-view correspondences from temporal coincidences |
| learning | Multi-view Correspondences via Subspace-Based Temporal Coincidences |
| learning | multi-view embedding in joint space for bidirectional image-text retrieval |
| learning | Multi-view Generator Network for Shared Representation |
| learning | Multi-View Interactional Skeleton Graph for Action Recognition |
| learning | Multi-View Representation With LSTM for 3-D Shape Recognition and Retrieval |
| learning | Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction |
| learning | Multidimensional Signal Processing |
| learning | Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks |
| learning | Multifunctional Binary Codes for Personalized Image Retrieval |
| learning | Multilayer Channel Features for Pedestrian Detection |
| learning | Multimodal Dictionaries |
| learning | Multimodal Latent Attributes |
| learning | multimodal relationship interaction for visual relationship detection |
| learning | Multimodal Representations for Drowsiness Detection |
| learning | Multimodal Representations for Unseen Activities |
| learning | Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model |
| learning | Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model |
| learning | Multiple Complex Features Based on Classification Results |
| learning | Multiple Dense Prediction Tasks from Partially Annotated Data |
| learning | multiple instance deep representation for objects tracking |
| learning | Multiple Linear Mappings for Efficient Single Image Super-Resolution |
| learning | Multiple Local Metrics: Global Consideration Helps |
| learning | Multiple Non-linear Sub-spaces Using K-RBMs |
| learning | Multiple Pixelwise Tasks Based on Loss Scale Balancing |
| learning | Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution |
| learning | Multiple Relative Attributes With Humans in the Loop |
| learning | Multiple Views with Orthogonal Denoising Autoencoders |
| learning | multiple visual tasks while discovering their structure |
| learning | Multiscale Active Facial Patches for Expression Analysis |
| learning | multiscale and deep representations for classifying remotely sensed imagery |
| learning | Multiscale Deep Features for High-Resolution Satellite Image Scene Classification |
| learning | multiscale hierarchical attention for video summarization |
| learning | Multiscale Representations of Natural Scenes Using Dirichlet Processes |
| learning | Multivariate Distributions by Competitive Assembly of Marginals |
| learning | Multiview 3D Point Cloud Registration |
| learning | Multiview Face Subspaces and Facial Pose Estimation Using Independent Component Analysis |
| learning | Multiviewpoint Context-Aware Representation for RGB-D Scene Classification |
| learning | Must-Link Constraints for Video Segmentation Based on Spectral Clustering |
| learning | Mutual Modulation for Self-supervised Cross-Modal Super-Resolution |
| learning | Mutual Visibility Relationship for Pedestrian Detection with a Deep Model |
| learning | Mutually Exclusive Part Representations for Fine-Grained Image Classification |
| learning | Mutually in Crowd Scenes for Pedestrian Detection |
| learning | Naive Bayes Classifiers for Music Classification and Retrieval |
| learning | Nanoscale Motion Patterns of Vesicles in Living Cells |
| learning | natural scene categories by selective multi-scale feature extraction |
| learning | natural statistics of binocular contrast for no reference quality assessment of stereoscopic images |
| learning | Natural Thresholds for Image Ranking |
| learning | Navigational Visual Representations with Semantic Map Supervision |
| learning | Near-Optimal Cost-Sensitive Decision Policy for Object Detection |
| learning | neighborhood cooccurrence statistics of sparse features for human activity recognition |
| learning | Neighborhood Discriminative Manifolds for Video-Based Face Recognition |
| learning | Network Architectures of Deep CNNs Under Resource Constraints |
| learning | Networks for Face Analysis and Synthesis |
| learning | Neural Bag-of-Features for Large-Scale Image Retrieval |
| learning | Neural Duplex Radiance Fields for Real-Time View Synthesis |
| learning | Neural Eigenfunctions for Unsupervised Semantic Segmentation |
| learning | Neural Implicit Surfaces with Object-Aware Radiance Fields |
| learning | Neural Light Fields with Ray-Space Embedding |
| learning | Neural Network Architectures using Backpropagation |
| learning | Neural Networks with Ranking-Based Losses for Action Retrieval |
| learning | Neural Parametric Head Models |
| learning | Neural Proto-Face Field for Disentangled 3D Face Modeling in the Wild |
| learning | Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis |
| learning | Neural Textual Representations for Citation Recommendation |
| learning | Neural Volumetric Representations of Dynamic Humans in Minutes |
| learning | New Parts for Landmark Localization in Whole-Body CT Scans |
| learning | New Principles from Precedents and Exercises |
| learning | No-Reference Quality Assessment of Multiply and Singly Distorted Images With Big Data |
| learning | node representations against perturbations |
| learning | Noise-aware Encoder-decoder from Noisy Labels by Alternating Back-propagation for Saliency Detection |
| learning | Non-coplanar Scene Models by Exploring the Height Variation of Tracked Objects |
| learning | Non-Generative Grammatical Models for Document Analysis |
| learning | Non-Lambertian Object Intrinsics Across ShapeNet Categories |
| learning | Non-linear Calibration for Score Fusion with Applications to Image and Video Classification |
| learning | Non-Linear Disentangled Editing for Stylegan |
| learning | Non-linear Dynamical Systems by Alignment of Local Linear Models |
| learning | Non-linear Reconstruction Models for Image Set Classification |
| learning | non-local range Markov Random field for image restoration |
| learning | Non-Local Spatial Correlations To Restore Sparse 3D Single-Photon Data |
| learning | Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution |
| learning | Non-Locally Regularized Compressed Sensing Network With Half-Quadratic Splitting |
| learning | non-Markovian constraints for handwriting recognition |
| learning | Non-maximum Suppression |
| learning | Non-Metric Partial Similarity Based on Maximal Margin Criterion |
| learning | non-metric visual similarity for image retrieval |
| learning | non-negative locality-constrained Linear Coding for human action recognition |
| learning | Non-Negative Sparse Image Codes by Convex Programming |
| learning | non-parametric kernel via matrix decomposition for logistic regression |
| learning | non-rigid surface reconstruction from spatia-temporal image patches |
| learning | Non-stationary System Dynamics Online Using Gaussian Processes |
| learning | non-target items for interesting clothes segmentation in fashion images |
| learning | Non-target Knowledge for Few-shot Semantic Segmentation |
| learning | Non-Volumetric Depth Fusion Using Successive Reprojections |
| learning | Nonclassical Receptive Field Modulation for Contour Detection |
| learning | nonlinear distance functions using neural network for regression with application to robust human age estimation |
| learning | Nonlinear Functions Using Regularized Greedy Forest |
| learning | Nonlinear Image Manifolds by Global Alignment of Local Linear Models |
| learning | Nonlinear Manifolds from Time Series |
| learning | Nonlinear Manifolds of Dynamic Textures |
| learning | Nonlinear Spectral Filters for Color Image Reconstruction |
| learning | Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling |
| learning | Nonparametric Human Mesh Reconstruction from A Single Image Without Ground Truth Meshes |
| learning | Normal Dynamics in Videos with Meta Prototype Network |
| learning | Normal Patterns via Adversarial Attention-Based Autoencoder for Abnormal Event Detection in Videos |
| learning | Not to Learn: Training Deep Neural Networks With Biased Data |
| learning | novel views to a single face image |
| learning | Object Appearance from Occlusions Using Structure and Motion Recovery |
| learning | Object Categories from Google's Image Search |
| learning | Object Categories From Internet Image Searches |
| learning | object class detectors from weakly annotated video |
| learning | object classes from structure |
| learning | object color models from multi-view constraints |
| learning | Object Color under Varying Outdoor Illumination |
| learning | Object Context for Novel-view Scene Layout Generation |
| learning | Object Deformation and Motion Adaption for Semi-supervised Video Object Segmentation |
| learning | Object Depth from Camera Motion and Video Object Segmentation |
| learning | Object Descriptions, Object Recognition |
| learning | Object Detection from a Small Number of Examples: The Importance of Good Features |
| learning | Object Detectors With Semi-Annotated Weak Labels |
| learning | Object Interactions and Descriptions for Semantic Image Segmentation |
| learning | object intrinsic structure for robust visual tracking |
| learning | Object Location Predictors with Boosting and Grammar-guided Feature Extraction |
| learning | Object Material Categories via Pairwise Discriminant Analysis |
| learning | Object Models from Appearance |
| learning | Object Models from Graph Templates |
| learning | Object Models From Visual Observation and Background Knowledge |
| learning | object motion patterns for anomaly detection and improved object detection |
| learning | Object Permanence from Video |
| learning | Object Placement by Inpainting for Compositional Data Augmentation |
| learning | Object Placement via Dual-Path Graph Completion |
| learning | Object Recognition Models from Images |
| learning | Object Recognition Strategies |
| learning | Object Relation Graph and Tentative Policy for Visual Navigation |
| learning | object relationships via graph-based context model |
| learning | Object Representations from Lighting Variations |
| learning | Object Scale with Click Supervision for Object Detection |
| learning | object segmentation from video data |
| learning | Object Shape: From Drawings to Images |
| learning | object-centric complementary features for zero-shot learning |
| learning | object-centric complementary features for zero-shot learning |
| learning | Object-Compositional Neural Radiance Field for Editable Scene Rendering |
| learning | Object-Independent Modes of Variation with Feature Flow Fields |
| learning | object-specific DAGs for multi-label material recognition |
| learning | Object-Specific Distance From a Monocular Image |
| learning | Object-to-Class Kernels for Scene Classification |
| learning | Objects and Grasp Affordances through Autonomous Exploration |
| learning | occlusion patterns using semantic phrases for object detection |
| learning | occlusion with likelihoods for visual tracking |
| learning | of 3D Graph Convolution Networks for Point Cloud Analysis |
| learning | of a robusted nearest neighbor classifier using multiple training data |
| learning | of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images |
| learning | of context-aware single image super-resolution |
| learning | of context-sensitive languages described by augmented regular expressions |
| learning | of face components in coherent and disturbed constellations |
| learning | of Gaussian Processes in Distributed and Communication Limited Systems |
| learning | of Global Objective for Network Flow in Multi-Object Tracking |
| learning | of Graphical Models and Efficient Inference for Object Class Recognition |
| learning | of invariant object recognition in hierarchical neural networks using temporal continuity |
| learning | of Linear Video Prediction Models In A Multi-Modal Framework for Anomaly Detection |
| learning | of low-level feature keypoints for accurate and robust detection |
| learning | of Multilabel Classifiers |
| learning | of Multimodal Representations With Random Walks on the Click Graph |
| learning | of Nonnegative Matrix Factorization Models for Inconsistent Resolution Dataset Analysis |
| learning | of Optimal Illumination for Material Classification |
| learning | of Pattern-Based Rules for Document Classification |
| learning | of Patterns and Picture Languages |
| learning | of perceptual grouping for object segmentation on RGB-D data |
| learning | of Prototypes and Decision Boundaries for a Verification Problem Having Only Positive Samples |
| learning | of Scene-Specific Object Detectors by Classifier Co-Grids |
| learning | of Separable Filters by Stacked Fisher Convolutional Autoencoders |
| learning | of structural descriptions of graphic symbols using deformable template matching |
| learning | of structuring elements for morphological image model with a sparsity prior |
| learning | of view-invariant pattern recognizer with temporal context |
| learning | of Visual Modules from Examples: A Framework for Understanding Adaptive Visual Performance |
| learning | of Visual Relations: The Devil is in the Tails |
| learning | off-line vs. on-line models of interactive multimodal behaviors with recurrent neural networks |
| learning | Omnidirectional Flow in 360° Video via Siamese Representation |
| learning | on Attribute-Missing Graphs |
| learning | on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection |
| learning | on Hypergraphs With Sparsity |
| learning | on lie groups for invariant detection and tracking |
| learning | on sample-efficient and label-efficient multi-view cardiac data with graph transformer |
| learning | on the Edge: Investigating Boundary Filters in CNNs |
| learning | on the Fly: A Font-Free Approach Toward Multilingual OCR |
| learning | on the Fly: Font-Free Approaches to Difficult OCR Problems |
| learning | On-Road Visual Control for Self-Driving Vehicles With Auxiliary Tasks |
| learning | One-Shot Exemplar SVM from the Web for Face Verification |
| learning | One-to-Many Mapping With Locally Linear Maps Based on Manifold Structure |
| learning | one-to-many stylised Chinese character transformation and generation by generative adversarial networks |
| learning | Online Multi-Sensor Depth Fusion |
| learning | Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees |
| learning | open loop control of complex motor tasks |
| learning | Open Set Network with Discriminative Reciprocal Points |
| learning | Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision |
| learning | OpenCV Computer Vision with the OpenCV Library |
| learning | Operators for View-Independent Object Recognition |
| learning | opposites using neural networks |
| learning | Optical Expansion from Scale Matching |
| learning | Optical Flow |
| learning | Optical Flow and Scene Flow With Bidirectional Camera-LiDAR Fusion |
| learning | Optical Flow from a Few Matches |
| learning | Optical Flow from Event Camera with Rendered Dataset |
| learning | optical flow from still images |
| learning | Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D and 3D Echocardiography |
| learning | Optical Flow via Dilated Networks and Occlusion Reasoning |
| learning | Optical Flow with Kernel Patch Attention |
| learning | optimal classifier through fuzzy recognition rate maximization |
| learning | Optimal Compact Codebook for Efficient Object Categorization |
| learning | optimal data representation for cross-media retrieval |
| learning | Optimal Embedded Cascades |
| learning | Optimal Filter Representation for Texture Classification |
| learning | Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks |
| learning | Optimal Nonlinearities for Iterative Thresholding Algorithms |
| learning | optimal parameters for binary sensing image reconstruction algorithms |
| learning | Optimal Parameters For Multi-target Tracking |
| learning | Optimal Parameters for Multi-target Tracking with Contextual Interactions |
| learning | Optimal Parameters for Self-Diagnosis in a System for Automatic Exterior Orientation |
| learning | Optimal Phase-Coded Aperture for Depth of Field Extension |
| learning | Optimal Seeds for Diffusion-Based Salient Object Detection |
| learning | Optimal Wavefront Shaping for Multi-Channel Imaging |
| learning | optimized MAP estimates in continuously-valued MRF models |
| learning | or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information |
| learning | Oracle Attention for High-Fidelity Face Completion |
| learning | Ordered Top-k Adversarial Attacks via Adversarial Distillation |
| learning | ordinal discriminative features for age estimation |
| learning | Ordinal Relationships for Mid-Level Vision |
| learning | Oriented Region-based Convolutional Neural Networks for Building Detection in Satellite Remote Sensing Images |
| learning | Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation |
| learning | Outdoor Color Classification |
| learning | Outdoor Color Classification from Just One Training Image |
| learning | Output-kernel-dependent Regression for Human Pose Estimation |
| learning | Over Multiple Temporal Scales in Image Databases |
| learning | over Sets using Boosted Manifold Principal Angles (BoMPA) |
| learning | over sets using kernel principal angles |
| learning | overcomplete sparsifying transforms with block cosparsity |
| learning | Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning |
| learning | Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning |
| learning | Pain from Emotion: Transferred HoT Data Representation for Pain Intensity Estimation |
| learning | Pairwise Dissimilarity Profiles for Appearance Recognition in Visual Surveillance |
| learning | pairwise image similarities for multi-classification using Kernel Regression Trees |
| learning | Pairwise Inter-plane Relations for Piecewise Planar Reconstruction |
| learning | Pairwise Interaction for Generalizable DeepFake Detection |
| learning | Pairwise Potential CRFs in Deep Siamese Network for Change Detection |
| learning | Pairwise Similarity for Data Clustering |
| learning | pairwise SVM on hierarchical deep features for ear recognition |
| learning | panoptic segmentation through feature discriminability |
| learning | Parallax Attention for Stereo Image Super-Resolution |
| learning | Parallel Canonical Correlations for Scale-Adaptive Low Resolution Face Recognition |
| learning | Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction |
| learning | Parameter Distributions to Detect Concept Drift in Data Streams |
| learning | Parameter Tuning for Object Extraction |
| learning | parameterized histogram kernels on the simplex manifold for image and action classification |
| learning | Parameterized Models of Image Motion |
| learning | Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding |
| learning | Parametric Functions for Color Image Enhancement |
| learning | parametrised regularisation functions via quotient minimisation |
| learning | Parseval Frames for Sparse Representation with Frame Perspective |
| learning | Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles |
| learning | part-aware attention networks for kinship verification |
| learning | Part-based Convolutional Features for Person Re-Identification |
| learning | Part-Based Models for Animation from Surface Motion Capture |
| learning | part-based templates from large collections of 3D shapes |
| learning | part-in-whole relation of 3D shapes for part-based 3D model retrieval |
| learning | Partial Correlation based Deep Visual Representation for Image Classification |
| learning | Partially Shared Dictionaries for Domain Adaptation |
| learning | partially-observed hidden conditional random fields for facial expression recognition |
| learning | Partitioned Least Squares Filters for Fingerprint Enhancement |
| learning | Parts-Based and Global Representation for Image Classification |
| learning | patch correspondences for improved viewpoint invariant face recognition |
| learning | Patch Dependencies for Improved Pose Mismatched Face Verification |
| learning | Patch Reconstructability for Accelerating Multi-view Stereo |
| learning | Patch-Channel Correspondence for Interpretable Face Forgery Detection |
| learning | patch-dependent kernel forest for person re-identification |
| learning | pattern transformation manifolds for classification |
| learning | Patterns from Images by Combining Soft Decisions and Hard Decisions |
| learning | patterns in terms of other patterns |
| learning | Patterns of Activity Using Real-Time Tracking |
| learning | PDEs for Image Restoration via Optimal Control |
| learning | Pedestrian Detection from Virtual Worlds |
| learning | pedestrian dynamics from the real world |
| learning | Pedestrian Group Representations for Multi-modal Trajectory Prediction |
| learning | pedestrian models for silhouette refinement |
| learning | Pedestrian Trajectories with Kernels |
| learning | people co-occurrence relations by using relevance feedback for retrieving group photos |
| learning | people detection models from few training samples |
| learning | People Detectors for Tracking in Crowded Scenes |
| learning | People Trajectories Using Semi-directional Statistics |
| learning | Perceptual Organization with a Developmental Robot |
| learning | Permutation Invariant Representations Using Memory Networks |
| learning | Person Re-Identification Models From Videos With Weak Supervision |
| learning | Person-Person Interaction in Collective Activity Recognition |
| learning | Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition |
| learning | person-specific models for facial expression and action unit recognition |
| learning | Personal Preference From Viewer's Operations for Browsing and Its Application to Baseball Video Retrieval and Summarization |
| learning | Personal Specific Facial Dynamics for Face Recognition from Videos |
| learning | Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos |
| learning | Personalized Image Aesthetics From Subjective and Objective Attributes |
| learning | Personalized Models for Facial Expression Analysis and Gesture Recognition |
| learning | Personalized Modular Network Guided by Structured Knowledge |
| learning | personalized video highlights from detailed MPEG-7 metadata |
| learning | Perspective Undistortion of Portraits |
| learning | Phase Mask for Privacy-Preserving Passive Depth Estimation |
| learning | phase-rich features from streaming auditory images |
| learning | Photogrammetry with Interactive Software Tool Phox |
| learning | photographic global tonal adjustment with a database of input-output image pairs |
| learning | Photometric Invariance for Object Detection |
| learning | photometric invariance from diversified color model ensembles |
| learning | Photometric Stereo via Manifold-based Mapping |
| learning | Physical Activities in Immersive Virtual Environments |
| learning | Physical Descriptions from Functional Definitions, Examples, and Precedents |
| learning | Physical Descriptions from Functional Descriptions |
| learning | Physics-Guided Face Relighting Under Directional Light |
| learning | Pixel Perception for Identity and Illumination Consistency Face Frontalization in the Wild |
| learning | Pixel Trajectories with Multiscale Contrastive Random Walks |
| learning | pixel-adaptive weights for portrait photo retouching |
| learning | Pixel-Level Distinctions for Video Highlight Detection |
| learning | Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation |
| learning | Pixel-Wise Signal Energy for Understanding Semantics |
| learning | Placeholders for Open-Set Recognition |
| learning | Point Cloud Completion without Complete Point Clouds: A Pose-Aware Approach |
| learning | Point Embeddings from Shape Repositories for Few-Shot Segmentation |
| learning | Point Processes and Convolutional Neural Networks for Object Detection in Satellite Images |
| learning | Policies for Adaptive Tracking with Deep Feature Cascades |
| learning | Policies for Efficiently Identifying Objects of Many Classes |
| learning | Polymorphic Neural ODEs With Time-Evolving Mixture |
| learning | polynomial function based neutral-emotion GMM transformation for emotional speaker recognition |
| learning | Portrait Drawing with Unsupervised Parts |
| learning | Pose Dictionary for Human Action Recognition |
| learning | Pose Specific Representations by Predicting Different Views |
| learning | Pose-Aware Models for Pose-Invariant Face Recognition in the Wild |
| learning | Position and Target Consistency for Memory-based Video Object Segmentation |
| learning | Posterior Distributions in Underdetermined Inverse Problems |
| learning | Pre-attentive Driving Behaviour from Holistic Visual Features |
| learning | Precise Local Boundaries in Images from Human Tracings |
| learning | predictable binary codes for face indexing |
| learning | Prediction of Emotional Change on Behaviors |
| learning | Predictive Models from Observation and Interaction |
| learning | principal orientations and residual descriptor for action recognition |
| learning | Prior Feature and Attention Enhanced Image Inpainting |
| learning | Prior Knowledge and Observation Augmented Density Models for Human Behaviour Recognition |
| learning | priors for calibrating families of stereo cameras |
| learning | Priors for Semantic 3D Reconstruction |
| learning | Privacy Preserving Encodings Through Adversarial Training |
| learning | privacy-enhancing face representations through feature disentanglement |
| learning | Privacy-preserving Optics for Human Pose Estimation |
| learning | Privacy-Preserving Student Networks via Discriminative-Generative Distillation |
| learning | Probabilistic Approach for Object Segmentation, A |
| learning | Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions |
| learning | Probabilistic Coordinate Fields for Robust Correspondences |
| learning | probabilistic decision trees for AUC |
| learning | probabilistic deformation models from image sequences |
| learning | Probabilistic Distribution Model for Multi-View Face Detection |
| learning | Probabilistic Models for Contour Completion in Natural Images |
| learning | Probabilistic Models of Contours |
| learning | probabilistic models of tree edit distance |
| learning | Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression |
| learning | Probabilistic Structure for Human Motion Detection |
| learning | Probabilistic Trajectory Models of Aircraft in Terminal Airspace From Position Data |
| learning | procedure for multisurface method of pattern separation, A |
| learning | Procedure-aware Video Representation from Instructional Videos and Their Narrations |
| learning | Process to the Identification of Feature Points on Chinese Characters, A |
| learning | Program Representations for Food Images and Cooking Recipes |
| learning | Progressive Joint Propagation for Human Motion Prediction |
| learning | Progressive Point Embeddings for 3D Point Cloud Generation |
| learning | Propagation for Arbitrarily-Structured Data |
| learning | Propagation Rules for Attribution Map Generation |
| learning | Proposal-Aware Re-Ranking for Weakly-Supervised Temporal Action Localization |
| learning | Prototype Hyperplanes for Face Verification in the Wild |
| learning | prototypes and distances: A prototype reduction technique based on nearest neighbor error minimization |
| learning | prototypes and similes on Grassmann manifold for spontaneous expression recognition |
| learning | Prototypes for On-Line Handwritten Digits |
| learning | prototypical shapes for object categories |
| learning | Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems |
| learning | Pseudo Bayes Discriminant Method Based on Difference Distribution of Feature Vectors, A |
| learning | Pseudo Labels for Semi-and-Weakly Supervised Semantic Segmentation |
| learning | Pseudo-Relations for Cross-domain Semantic Segmentation |
| learning | pseudo-tags to augment sparse tagging in hybrid music recommender systems |
| learning | Pullback HMM Distances |
| learning | Pullback metrics for linear models |
| learning | Pyramid-Context Encoder Network for High-Quality Image Inpainting |
| learning | Pyramidal Feature Hierarchy for 3D Reconstruction |
| learning | Quadratic Discriminant Function for Handwritten Character Classification |
| learning | quality assessment of retargeted images |
| learning | Quality-aware Dynamic Memory for Video Object Segmentation |
| learning | Quaternion Graph for Color Face Image Super-Resolution |
| learning | Query and Image Similarities with Ranking Canonical Correlation Analysis |
| learning | Query-Dependent Distance Metrics for Interactive Image Retrieval |
| learning | query-dependent prefilters for scalable image retrieval |
| learning | Query-Specific Distance Functions for Large-Scale Web Image Search |
| learning | Quintuplet Loss for Large-Scale Visual Geolocalization |
| learning | Race from Face: A Survey |
| learning | Rain Location Prior for Nighttime Deraining |
| learning | ramp transformation for single image super-resolution |
| learning | Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation |
| learning | Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging |
| learning | Rare Behaviours |
| learning | Rare Category Classifiers on a Tight Labeling Budget |
| learning | rate schedules for self-organizing maps |
| learning | Rates for Nonconvex Pairwise Learning |
| learning | Rates for Nonconvex Pairwise Learning |
| learning | Rates for Stochastic Gradient Descent With Nonconvex Objectives |
| learning | Raw Image Denoising Using a Parametric Color Image Model |
| learning | Raw Image Reconstruction-Aware Deep Image Compressors |
| learning | RAW-to-sRGB Mappings with Inaccurately Aligned Supervision |
| learning | Reaction-Diffusion Models for Image Inpainting |
| learning | real-time MRF inference for image denoising |
| learning | Real-Time Perspective Patch Rectification |
| learning | realistic facial expressions from web images |
| learning | realistic human actions from movies |
| learning | Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency |
| learning | Reasoning-Decision Networks for Robust Face Alignment |
| learning | rebalanced human parsing model from imbalanced datasets |
| learning | Receptive Field Size by Learning Filter Size |
| learning | Receptive Field Size by Learning Filter Size |
| learning | Receptive Fields and Quality Lookups for Blind Quality Assessment of Stereoscopic Images |
| learning | Receptive Fields for Pooling from Tensors of Feature Response |
| learning | Recognition and Segmentation of 3-D Objects from 2-D Images |
| learning | Recognition and Segmentation Using the Cresceptron |
| learning | reconfigurable hashing for diverse semantics |
| learning | reconfigurable scene representation by tangram model |
| learning | Reconstruction-Based Remote Gaze Estimation |
| learning | Recurrent 3D Attention for Video-Based Person Re-Identification |
| learning | Recurrent High-order Statistics for Skeleton-based Hand Gesture Recognition |
| learning | Recurrent Memory Activation Networks for Visual Tracking |
| learning | Recursive Filters for Low-Level Vision via a Hybrid Neural Network |
| learning | Reduced-Dimension Models of Human Actions |
| learning | Redundant Sparsifying Transform based on Equi-Angular Frame |
| learning | Region Features for Object Detection |
| learning | region sparse constraint correlation filter for tracking |
| learning | Regional Attention Over Multi-Resolution Deep Convolutional Features for Trademark Retrieval |
| learning | Regional Attraction for Line Segment Detection |
| learning | Regional Purity for Instance Segmentation on 3D Point Clouds |
| learning | regional semantic concepts from incomplete annotation |
| learning | Regression and Verification Networks for Robust Long-term Tracking |
| learning | Regularity in Skeleton Trajectories for Anomaly Detection in Videos |
| learning | Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling |
| learning | Regularized, Query-Dependent Bilinear Similarities for Large Scale Image Retrieval |
| learning | Relation Models to Detect Important People in Still Images |
| learning | relation-based features for fine-grained image retrieval |
| learning | relational facts from the web: A tolerance rough set approach |
| learning | Relational Grammars from Sequences of Actions |
| learning | Relational Structures: Applications to Computer Vision |
| learning | Relations among Movie Characters: A Social Network Perspective |
| learning | Relationship-Aware Visual Features |
| learning | Relationship-Enhanced Semantic Graph for Fine-Grained Image-Text Matching |
| learning | Relationships for Multi-View 3D Object Recognition |
| learning | Relative Aesthetic Quality with a Pairwise Approach |
| learning | Relative Feature Displacement for Few-Shot Open-Set Recognition |
| learning | relative photometric differences of pairs of cameras |
| learning | Relaxed Deep Supervision for Better Edge Detection |
| learning | Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding |
| learning | Relevant Image Features with Multiple-Kernel Classification |
| learning | Reliable Visual Saliency For Model Explanations |
| learning | reliable-spatial and spatial-variation regularization correlation filters for visual tracking |
| learning | Repetitive Patterns for Classifying Non-Rigidly Deforming Texture Surfaces |
| learning | Representation for Clustering Via Prototype Scattering and Positive Sampling |
| learning | Representation for Histopathological Image with Quaternion Grassmann Average Network |
| learning | representation from multiple media domains for enhanced event discovery |
| learning | Representation on Optimized High-Order Manifold for Visual Classification |
| learning | Representational Invariance Instead of Categorization |
| learning | representational invariances for data-efficient action recognition |
| learning | Representations by Contrastive Spatio-Temporal Clustering for Skeleton-Based Action Recognition |
| learning | Representations by Graphical Mutual Information Estimation and Maximization |
| learning | Representations by Predicting Bags of Visual Words |
| learning | Representations for Automatic Colorization |
| learning | Representations for Facial Actions From Unlabeled Videos |
| learning | Representations for High-Dynamic-Range Image Color Transfer in a Self-Supervised Way |
| learning | Representations for Neural Network-Based Classification Using the Information Bottleneck Principle |
| learning | Representations for New Sound Classes With Continual Self-Supervised Learning |
| learning | Representations for New Sound Classes With Continual Self-Supervised Learning |
| learning | representations from multiple manifolds |
| learning | Representations From Skeletal Self-Similarities for Cross-View Action Recognition |
| learning | representations of multivariate time series with missing data |
| learning | representations of sound using trainable COPE feature extractors |
| learning | representative and discriminative image representation by deep appearance and spatial coding |
| learning | Representative Deep Features for Image Set Analysis |
| learning | representative exemplars using one-class Gaussian process regression |
| learning | Representative Local Features for Face Detection |
| learning | Residual Color for Novel View Synthesis |
| learning | Residual Images for Face Attribute Manipulation |
| learning | residual refinement network with semantic context representation for real-time saliency object detection |
| learning | Residue-Aware Correlation Filters and Refining Scale Estimates with the GrabCut for Real-Time UAV Tracking |
| learning | residue-aware correlation filters and refining scale for real-time UAV tracking |
| learning | Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification |
| learning | RGB-D Salient Object Detection Using Background Enclosure, Depth Contrast, and Top-Down Features |
| learning | Rich Features at High-Speed for Single-Shot Object Detection |
| learning | Rich Features for Image Manipulation Detection |
| learning | Rich Features from RGB-D Images for Object Detection and Segmentation |
| learning | Rich Hidden Markov Models in Document Analysis: Table Location |
| learning | Rich Information for Quad Bayer Remosaicing and Denoising |
| learning | Rich Part Hierarchies With Progressive Attention Networks for Fine-Grained Image Recognition |
| learning | Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation |
| learning | Roadway Surface Disruption Patterns Using the Bag of Words Representation |
| learning | Robot Activities from First-Person Human Videos Using Convolutional Future Regression |
| learning | robot tasks with loops from experiences to enhance robot adaptability |
| learning | Robust and Discriminative Low-Rank Representations for Face Recognition with Occlusion |
| learning | robust color name models from web images |
| learning | Robust Facial Landmark Detection via Hierarchical Structured Ensemble |
| learning | Robust Facial Representation From the View of Diversity and Closeness |
| learning | Robust Feature Transformation for Domain Adaptation |
| learning | robust features for gait recognition by Maximum Margin Criterion |
| learning | Robust Graph Regularisation for Subspace Clustering |
| learning | Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion |
| learning | robust latent representation for discriminative regression |
| learning | robust latent subspace for discriminative regression |
| learning | Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images |
| learning | Robust Object Recognition Using Composed Scenes from Generative Models |
| learning | Robust Objective Functions for Model Fitting in Image Understanding Applications |
| learning | Robust Objective Functions with Application to Face Model Fitting |
| learning | Robust Point Representation for 3D Non-Rigid Shape Retrieval |
| learning | Robust Representations for Computer Vision |
| learning | Robust Representations with Information Bottleneck and Memory Network for RGB-D-based Gesture Recognition |
| learning | Robust Similarity Measures for 3D Partial Shape Retrieval |
| learning | Robust Visual-Semantic Embeddings |
| learning | RoI Transformer for Oriented Object Detection in Aerial Images |
| learning | Room Occupancy Patterns from Sparsely Recovered Light Transport Models |
| learning | Rotated Inscribed Ellipse for Oriented Object Detection in Remote Sensing Images |
| learning | Rotation Adaptive Correlation Filters in Robust Visual Object Tracking |
| learning | Rotation Domain Deep Mutual Information Using Convolutional LSTM for Unsupervised PolSAR Image Classification |
| learning | rotation equivalent scene representation from instance-level semantics: A novel top-down perspective |
| learning | rotation invariant convolutional filters for texture classification |
| learning | rotation-aware features: From invariant priors to equivariant descriptors |
| learning | Rotation-Equivariant Features for Visual Correspondence |
| learning | Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection |
| learning | Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images |
| learning | Rotation-Invariant Local Binary Descriptor |
| learning | Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks |
| learning | rotational features for filament detection |
| learning | Rules for 3-D Object Recognition |
| learning | Rules for Semantic Video Event Annotation |
| learning | rules of a card game from video |
| learning | Saccadic Gaze Control via Motion Prediciton |
| learning | Safe and Human-Like High-Level Decisions for Unsignalized Intersections From Naturalistic Human Driving Trajectories |
| learning | Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective |
| learning | Saliency Propagation for Semi-Supervised Instance Segmentation |
| learning | Salient Boundary Feature for Anchor-free Temporal Action Localization |
| learning | Salient Feature for Salient Object Detection Without Labels |
| learning | Salient Features For Real-Time Face Verification |
| learning | Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks |
| learning | Salient Structures for the Analysis of Symmetric Patterns |
| learning | salient visual word for scalable mobile image retrieval |
| learning | Sample Relationship for Exposure Correction |
| learning | Sample Specific Weights for Late Fusion |
| learning | sample subspace with application to face detection |
| learning | SAR-Optical Cross Modal Features for Land Cover Classification |
| learning | Scalable Discriminative Dictionary with Sample Relatedness |
| learning | scalable dynamic filter in convolutional networks |
| learning | Scalable l8-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression |
| learning | scale awareness in keypoint extraction and description |
| learning | scale ranges for the extraction of regions of interest |
| learning | Scale-Adaptive Representations for Point-Level LiDAR Semantic Segmentation |
| learning | Scale-Consistent Attention Part Network for Fine-Grained Image Recognition |
| learning | scale-variant and scale-invariant features for deep image classification |
| learning | Scene Attribute for Scene Recognition |
| learning | scene categories from high resolution satellite image for aerial video analysis |
| learning | Scene Context for Multiple Object Tracking |
| learning | Scene Dynamics from Point Cloud Sequences |
| learning | Scene Entries and Exits Using Coherent Motion Regions |
| learning | Scene Semantics Using Fiedler Embedding |
| learning | Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution |
| learning | Scene-Aware Spatio-Temporal GNNs for Few-Shot Early Action Prediction |
| learning | Scene-Independent Group Descriptors for Crowd Understanding |
| learning | scene-specific object detectors based on a generative-discriminative model with minimal supervision |
| learning | scene-specific pedestrian detectors without real data |
| learning | Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes, A |
| learning | Science Using AR Book: A Preliminary Study on Visual Needs of Deaf Learners |
| learning | Second Order Local Anomaly for General Face Forgery Detection |
| learning | Segmentation of Documents with Complex Scripts |
| learning | Selective Assignment Network for Scene-Aware Vehicle Detection |
| learning | Selective Mutual Attention and Contrast for RGB-D Saliency Detection |
| learning | Selective Self-Mutual Attention for RGB-D Saliency Detection |
| learning | Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models |
| learning | Self-Consistency for Deepfake Detection |
| learning | Self-Correlation in Space and Time as Motion Representation for Action Recognition |
| learning | Self-prior for Mesh Denoising Using Dual Graph Convolutional Networks |
| learning | Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition |
| learning | Self-supervised Audio-Visual Representations for Sound Recommendations |
| learning | Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation |
| learning | Self-Supervised Space-Time CNN for Fast Video Style Transfer |
| learning | self-target knowledge for few-shot segmentation |
| learning | Semantic Alignment Using Global Features and Multi-Scale Confidence |
| learning | Semantic and Visual Similarity for Endomicroscopy Video Retrieval |
| learning | Semantic Associations for Mirror Detection |
| learning | Semantic Binary Codes by Encoding Attributes for Image Retrieval |
| learning | Semantic Concepts and Order for Image and Sentence Matching |
| learning | Semantic Correlations for Cross-Media Retrieval |
| learning | Semantic Correspondence Exploiting an Object-Level Prior |
| learning | Semantic Correspondence with Sparse Annotations |
| learning | Semantic Deformation Flows with 3D Convolutional Networks |
| learning | semantic dependencies with channel correlation for multi-label classification |
| learning | semantic embedding at a large scale |
| learning | semantic features for action recognition via diffusion maps |
| learning | semantic models and grammar rules of building parts |
| learning | Semantic Neural Tree for Human Parsing |
| learning | semantic object parts for object categorization |
| learning | Semantic Part-Based Models from Google Images |
| learning | Semantic Patterns with Discriminant Localized Binary Projections |
| learning | Semantic Person Image Generation by Region-Adaptive Normalization |
| learning | Semantic Relationship among Instances for Image-Text Matching |
| learning | semantic relationships for better action retrieval in images |
| learning | Semantic Representations via Joint 3D Face Reconstruction and Facial Attribute Estimation |
| learning | semantic scene models by object classification and trajectory clustering |
| learning | Semantic Scene Models by Trajectory Analysis |
| learning | Semantic Scene Models From Observing Activity in Visual Surveillance |
| learning | Semantic Segmentation from Multiple Datasets with Label Shifts |
| learning | Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach |
| learning | Semantic Segmentation of Large-Scale Point Clouds With Random Sampling |
| learning | Semantic Segmentation on Unlabeled Real-World Indoor Point Clouds via Synthetic Data |
| learning | Semantic Segmentation with Diverse Supervision |
| learning | Semantic Signatures for 3D Object Retrieval |
| learning | Semantic Text Features for Web Text-Aided Image Classification |
| learning | semantic visual concepts from video |
| learning | semantic visual vocabularies using diffusion distance |
| learning | Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing |
| learning | Semantic-Aware Dynamics for Video Prediction |
| learning | Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement |
| learning | Semantic-Aware Local Features for Long Term Visual Localization |
| learning | Semantic-Aware Spatial-Temporal Attention for Interpretable Action Recognition |
| learning | Semantic-Specific Graph Representation for Multi-Label Image Recognition |
| learning | Semantic-visual Embeddings with a Priority Queue |
| learning | Semantically Enhanced Feature for Fine-Grained Image Classification |
| learning | Semantics for Visual Place Recognition Through Multi-scale Attention |
| learning | semantics from multimedia content |
| learning | Semantics From Multimedia Web Resources: An Introduction to the Special Issue |
| learning | Semantics-Guided Representations for Scoring Figure Skating |
| learning | Semantics-Guided Visual Attention for Few-Shot Image Classification |
| learning | Semantics-Preserving Attention and Contextual Interaction for Group Activity Recognition |
| learning | Semi-supervised Gaussian Mixture Models for Generalized Category Discovery |
| learning | Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning |
| learning | Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning |
| learning | Sensitive Images Using Generative Models |
| learning | Sensor-Based Navigation of a Real Mobile Robot in Unknown Worlds |
| learning | Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks |
| learning | Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction |
| learning | Separable Filters |
| learning | Separable Filters |
| learning | separable transforms by inverse covariance estimation |
| learning | Separations By Boolean Combinations Of Half-Spaces |
| learning | Sequence Representations by Non-local Recurrent Neural Memory |
| learning | Sequential Contexts using Transformer for 3D Hand Pose Estimation |
| learning | Sequential Patterns for Lipreading |
| learning | sequential slice representation with an attention-embedding network for 3D shape recognition and retrieval in MLS point clouds |
| learning | sequentially diversified representations for fine-grained categorization |
| learning | Series-Parallel Lookup Tables for Efficient Image Super-Resolution |
| learning | Setting-Generalized Activity Models for Smart Spaces |
| learning | Shadow Correspondence for Video Shadow Detection |
| learning | Shadow Removal From Unpaired Samples via Reciprocal Learning |
| learning | Shadow Removal From Unpaired Samples via Reciprocal Learning |
| learning | Shape Abstractions by Assembling Volumetric Primitives |
| learning | shape and motion representations for view invariant skeleton-based action recognition |
| learning | shape and texture progression for young child face aging |
| learning | Shape Categories by Clustering Shock Trees |
| learning | Shape Classes |
| learning | Shape Correspondence for n-D curves |
| learning | Shape Descriptions |
| learning | Shape Descriptions: Generating and Generalizing Models of Visual Objects |
| learning | Shape Detector by Quantizing Curve Segments with Multiple Distance Metrics |
| learning | Shape from Defocus |
| learning | Shape from Shading by a Multilayer Network |
| learning | Shape Metric: From Alignment to Recognition |
| learning | shape metrics based on deformations and transport |
| learning | Shape Models for a Vision Based Human-Computer Interface |
| learning | shape models for monocular human pose estimation from the Microsoft Xbox Kinect |
| learning | Shape Primitives via Implicit Convexity Regularization |
| learning | shape prior models for object matching |
| learning | shape priors for object segmentation via neural networks |
| learning | shape priors for single view reconstruction |
| learning | Shape Priors for Single-View 3D Completion And Reconstruction |
| learning | Shape Representations for Person Re-Identification under Clothing Change |
| learning | Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer |
| learning | shape statistics for hierarchical 3D medical image segmentation |
| learning | Shape Templates With Structured Implicit Functions |
| learning | Shape Trends: Parameter Estimation in Diffusions on Shape Manifolds |
| learning | shape variations of motion trajectories for gait analysis |
| learning | Shape, Motion and Elastic Models in Force Space |
| learning | Shape-Appearance Based Attributes Representation for Facial Attribute Recognition with Limited Labeled Data |
| learning | Shape-Aware Embedding for Scene Text Detection |
| learning | Shape-Biased Representations for Infrared Small Target Detection |
| learning | Shape-Classes Using a Mixture of Tree-Unions |
| learning | Shape-Invariant Representation for Generalizable Semantic Segmentation |
| learning | Shape: Optimal Models for Analysing Natural Variability |
| learning | Shapes for Image Classification and Retrieval |
| learning | Shapes on Image Sampled Points with Dynamic Graph CNNs |
| learning | shared body plans |
| learning | Shared, Discriminative, and Compact Representations for Visual Recognition |
| learning | Sheared EPI Structure for Light Field Reconstruction |
| learning | shift-invariant sparse representation of actions |
| learning | Ship Activity Patterns in Maritime Data Streams: Enhancing CEP Rule Learning by Temporal and Spatial Relations and Domain-Specific Functions |
| learning | Ship Activity Patterns in Maritime Data Streams: Enhancing CEP Rule Learning by Temporal and Spatial Relations and Domain-Specific Functions |
| learning | Short Binary Codes for Large-scale Image Retrieval |
| learning | Siamese Features for Finger Spelling Recognition |
| learning | Siamese networks for laser vision seam tracking |
| learning | Sight from Sound: Ambient Sound Provides Supervision for Visual Learning |
| learning | Sight from Sound: Ambient Sound Provides Supervision for Visual Learning |
| learning | sign language by watching TV (using weakly aligned subtitles) |
| learning | Sign-Constrained Support Vector Machines |
| learning | Signed Distance Field for Multi-view Surface Reconstruction |
| learning | signs from subtitles: A weakly supervised approach to sign language recognition |
| learning | silhouette dynamics for human action recognition |
| learning | Similarities by Accumulating Evidence in a Probabilistic Way |
| learning | Similarities for Rigid and Non-rigid Object Detection |
| learning | Similarity Conditions Without Explicit Supervision |
| learning | Similarity for Texture Image Retrieval |
| learning | similarity measure for multi-modal 3D image registration |
| learning | Similarity Measure for Natural Image Retrieval with Relevance Feedback |
| learning | similarity metrics for dynamic scene segmentation |
| learning | similarity space |
| learning | simple texture discrimination filters |
| learning | Simple Thresholded Features With Sparse Support Recovery |
| learning | simultaneous adaptive clustering and classification via MOEA |
| learning | Single Camera Depth Estimation Using Dual-Pixels |
| learning | Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading |
| learning | Single-Image Depth From Videos Using Quality Assessment Networks |
| learning | Single-View 3D Reconstruction with Limited Pose Supervision |
| learning | Single/Multi-Attribute of Object With Symmetry and Group |
| learning | Situation Hyper-Graphs for Video Question Answering |
| learning | Situation Models in a Smart Home |
| learning | Situational Driving |
| learning | Skeletal Graph Neural Networks for Hard 3D Pose Estimation |
| learning | skeleton information for human action analysis using Kinect |
| learning | skeleton representations for human action recognition |
| learning | Skeleton Stream Patterns with Slow Feature Analysis for Action Recognition |
| learning | skin distribution using a sparse map |
| learning | Skip Map for Efficient Ultra-High Resolution Image Segmentation |
| learning | Slow Features for Behaviour Analysis |
| learning | small gallery size for prediction of recognition performance on large populations |
| learning | smooth dendrite morphological neurons for pattern classification using linkage trees and evolutionary-based hyperparameter tuning |
| learning | Smooth Motion Planning for Intelligent Aerial Transportation Vehicles by Stable Auxiliary Gradient |
| learning | Smooth Pattern Transformation Manifolds |
| learning | SO(3) Equivariant Representations with Spherical CNNs |
| learning | Social Etiquette: Human Trajectory Understanding In Crowded Scenes |
| learning | Social Relation Traits from Face Images |
| learning | Social Relationship From Videos via Pre-Trained Multimodal Transformer |
| learning | Soft Estimator of Keypoint Scale and Orientation with Probabilistic Covariant Loss |
| learning | solar flare forecasting model from magnetograms |
| learning | Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval |
| learning | space-time dictionaries for blind compressed sensing dynamic MRI reconstruction |
| learning | Sparse and Discriminative Multimodal Feature Codes for Finger Recognition |
| learning | Sparse and Identity-Preserved Hidden Attributes for Person Re-Identification |
| learning | sparse covariance patterns for natural scenes |
| learning | Sparse CRFs for Feature Selection and Classification of Hyperspectral Imagery |
| learning | sparse deep neural networks using efficient structured projections on convex constraints for green AI |
| learning | sparse discriminant low-rank features for low-resolution face recognition |
| learning | Sparse Face Features: Application to Face Verification |
| learning | sparse feature for eyeglasses problem in face recognition |
| learning | sparse features for classification by mixture models |
| learning | Sparse Features in Granular Space for Multi-View Face Detection |
| learning | Sparse Features On-Line for Image Classification |
| learning | sparse filter bank transforms with convolutional ICA |
| learning | Sparse Filters in Deep Convolutional Neural Networks with a L1/l2 Pseudo-norm |
| learning | Sparse FRAME Models for Natural Image Patterns |
| learning | Sparse Geometric Features for Building Segmentation from Low-Resolution Remote-Sensing Images |
| learning | Sparse Graphs for Prediction of Multivariate Data Processes |
| learning | Sparse Graphs via Majorization-Minimization for Smooth Node Signals |
| learning | Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks |
| learning | sparse image representation with support vector regression for single-image super-resolution |
| learning | Sparse Kernel Classifiers in the Primal |
| learning | Sparse Masks for Diffusion-Based Image Inpainting |
| learning | Sparse Multiple Cause Models |
| learning | Sparse Neural Networks Through Mixture-Distributed Regularization |
| learning | Sparse Prototypes for Crowd Perception via Ensemble Coding Mechanisms |
| learning | Sparse Representation for No-Reference Quality Assessment of Multiply Distorted Stereoscopic Images |
| learning | Sparse Representation for Objective Image Retargeting Quality Assessment |
| learning | Sparse Representations for Human Action Recognition |
| learning | sparse tag patterns for social image classification |
| learning | Sparse Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T) |
| learning | sparse, overcomplete representations of time-varying natural images |
| learning | sparsifying transforms for image processing |
| learning | Sparsity-Promoting Regularizers Using Bilevel Optimization |
| learning | Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising |
| learning | Spatial and Spectral Features via 2D-1D Generative Adversarial Network for Hyperspectral Image Super-Resolution |
| learning | Spatial and Temporal Cues for Multi-Label Facial Action Unit Detection |
| learning | Spatial and Temporal Extents of Human Actions for Action Detection |
| learning | Spatial Attention for Face Super-Resolution |
| learning | Spatial Awareness to Improve Crowd Counting |
| learning | Spatial Common Sense With Geometry-Aware Recurrent Networks |
| learning | spatial context from tracking using penalised likelihoods |
| learning | Spatial Context: Using Stuff to Find Things |
| learning | spatial hierarchies of high-level features in deep neural network |
| learning | Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification |
| learning | spatial relations and shapes for structural object description and scene recognition |
| learning | spatial relations for object-specific segmentation using Bayesian network model |
| learning | spatial relations in object recognition |
| learning | Spatial Relationships between Samples of Patent Image Shapes |
| learning | spatial self-attention information for visual tracking |
| learning | Spatial Transforms for Refining Object Segment Proposals |
| learning | spatial weighting for facial expression analysis via constrained quadratic programming |
| learning | spatial weighting via quadratic programming for facial expression analysis |
| learning | Spatial-Aware Regressions for Visual Tracking |
| learning | Spatial-Context-Aware Global Visual Feature Representation for Instance Image Retrieval |
| learning | Spatial-Frequency Transformer for Visual Object Tracking |
| learning | Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition |
| learning | Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition |
| learning | Spatial-Semantic Relationship for Facial Attribute Recognition with Limited Labeled Data |
| learning | spatial-spectral dual adaptive graph embedding for multispectral and hyperspectral image fusion |
| learning | Spatial-Spectral Features for Hyperspectral Image Classification |
| learning | spatial-temporal deformable networks for unconstrained face alignment and tracking in videos |
| learning | Spatial-Temporal Embeddings for Sequential Point Cloud Frame Interpolation |
| learning | spatial-temporal features for video copy detection by the combination of CNN and RNN |
| learning | Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution |
| learning | Spatial-Temporal Regularized Correlation Filters for Visual Tracking |
| learning | Spatial-Temporal Representations Over Walking Tracklet for Long-Term Person Re-Identification in the Wild |
| learning | Spatially Localized, Parts-Based Representation |
| learning | Spatially Regularized Correlation Filters for Visual Tracking |
| learning | spatially regularized similarity for robust visual tracking |
| learning | Spatially Variant Linear Representation Models for Joint Filtering |
| learning | Spatially-Adaptive Squeeze-Excitation Networks for Few Shot Image Synthesis |
| learning | Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis |
| learning | Spatially-Smooth Mappings in Non-Rigid Structure From Motion |
| learning | Spatially-Variable Filters for Super-Resolution of Text |
| learning | Spatially-Variant MAP Models for Non-blind Image Deblurring |
| learning | Spatio-Appearance Memory Network for High-Performance Visual Tracking |
| learning | Spatio-Temporal Attention Based Siamese Network for Tracking UAVs in the Wild |
| learning | spatio-temporal co-occurrence correlograms for efficient human action classification |
| learning | spatio-temporal context via hierarchical features for visual tracking |
| learning | spatio-temporal dependencies for action recognition |
| learning | spatio-temporal dependency of local patches for complex motion segmentation |
| learning | Spatio-Temporal Downsampling for Effective Video Upscaling |
| learning | spatio-temporal features for action recognition from the side of the video |
| learning | Spatio-Temporal Features for Action Recognition with Modified Hidden Conditional Random Field |
| learning | Spatio-Temporal Features with 3D Residual Networks for Action Recognition |
| learning | Spatio-Temporal Invariances |
| learning | Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data |
| learning | Spatio-temporal Patterns for Predicting Object Behaviour |
| learning | Spatio-Temporal Representation With Local and Global Diffusion |
| learning | Spatio-Temporal Representation with Pseudo-3D Residual Networks |
| learning | Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach |
| learning | Spatio-Temporal Semantics and Cluster Relation for Zero-Shot Action Recognition |
| learning | Spatio-Temporal Transformer for Visual Tracking |
| learning | Spatiotemporal 3D Convolution with Video Order Self-supervision |
| learning | SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition |
| learning | Spatiotemporal Attention for Egocentric Action Recognition |
| learning | spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction |
| learning | Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks |
| learning | Spatiotemporal Features Using 3DCNN and Convolutional LSTM for Gesture Recognition |
| learning | Spatiotemporal Features with 3D Convolutional Networks |
| learning | Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution |
| learning | spatiotemporal graphs of human activities |
| learning | Spatiotemporal Interactions for User-Generated Video Quality Assessment |
| learning | spatiotemporal representations for human fall detection in surveillance video |
| learning | Spatiotemporal T-Junctions for Occlusion Detection |
| learning | Speaker-specific Lip-to-Speech Generation |
| learning | specialized activation functions with the Piecewise Linear Unit |
| learning | Specific and General Realm Feature Representations for Image Fusion |
| learning | specific-class segmentation from diverse data |
| learning | Spectral Calibration Parameters for Color Inspection |
| learning | Spectral Cues for Multispectral and Panchromatic Image Fusion |
| learning | Spectral Descriptors for Deformable Shape Correspondence |
| learning | spectral transform for 3D human motion prediction |
| learning | Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis |
| learning | spectral-spatial representations from VHR images for fine-scale crop type mapping: A case study of rice-crayfish field extraction in South China |
| learning | Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery |
| learning | Speed Invariant Gait Template via Thin Plate Spline Kernel Manifold Fitting |
| learning | Spherical Convolution for 360° Recognition |
| learning | Splines for Sparse Tomographic Reconstruction |
| learning | Sports Camera Selection From Internet Videos |
| learning | Spread-Out Local Feature Descriptors |
| learning | sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata |
| learning | Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach |
| learning | Stable Deep Predictive Coding Networks with Weight Norm Supervision |
| learning | Stable Nonlinear Cross-Diffusion Models for Image Restoration |
| learning | Stacked Image Descriptor for Face Recognition |
| learning | Stage-Wise GANs for Whistle Extraction in Time-Frequency Spectrograms |
| learning | state machine-based string edit kernels |
| learning | Statistical Correlation of Prostate Deformations for Fast Registration |
| learning | Statistical Structure for Object Detection |
| learning | Statistical Texture for Semantic Segmentation |
| learning | statistically relevant edge structure improves low-level visual descriptors |
| learning | Steerable Filters for Rotation Equivariant CNNs |
| learning | Steerable Function for Efficient Image Resampling |
| learning | Steering Kernels for Guided Depth Completion |
| learning | Stereo from Single Images |
| learning | Stereo Matchability in Disparity Regression Networks |
| learning | stick-figure models using nonparametric Bayesian priors over trees |
| learning | stochastic edit distance: Application in handwritten character recognition |
| learning | Strategies for Knowledge-Base Updating in Online Signature Verification Systems |
| learning | Strategies for the Interference Covariance Structure Based on a Bayesian Approach |
| learning | Strategy for Amazon Deforestation Estimations Using Multi-Modal Satellite Imagery, A |
| learning | Strict Identity Mappings in Deep Residual Networks |
| learning | String Edit Distance |
| learning | structural and corruption information from samples for Markov random field binary image reconstruction |
| learning | structural conjunction of image content by sparse graphical model |
| learning | Structural Descriptions from Examples |
| learning | Structural Descriptions of Patterns: A New Technique for Conditional Clustering and Rule Generation |
| learning | Structural Descriptions of Shape |
| learning | structural element patch models with hierarchical palettes |
| learning | Structural Models in Multiple Projection Spaces |
| learning | Structural Regularity for Evaluating Blocking Artifacts in JPEG Images |
| learning | Structural Representations for Recipe Generation and Food Retrieval |
| learning | Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval |
| learning | structural shape descriptions from examples |
| learning | Structural Similarity of User Interface Layouts Using Graph Networks |
| learning | structurally discriminant features in 3D faces |
| learning | Structure and Strength of CNN Filters for Small Sample Size Training |
| learning | Structure Aware Deep Spectral Embedding |
| learning | structure of stereoscopic image for no-reference quality assessment with convolutional neural network |
| learning | Structure-And-Motion-Aware Rolling Shutter Correction |
| learning | Structure-from-Motion from Motion |
| learning | structured and non-redundant representations with deep neural networks |
| learning | Structured Appearance Models from Captioned Images of Cluttered Scenes |
| learning | Structured Behavior Models using Variable Length Markov Models |
| learning | structured concept-segments for interactive video retrieval |
| learning | structured dictionaries for image representation |
| learning | Structured Gaussians to Approximate Deep Ensembles |
| learning | Structured Hough Voting for Joint Object Detection and Occlusion Reasoning |
| learning | Structured Inference Neural Networks with Label Relations |
| learning | Structured Low-Rank Representations for Image Classification |
| learning | Structured Models for Segmentation of 2-D and 3-D Imagery |
| learning | Structured Ordinal Measures for Video Based Face Recognition |
| learning | structured prediction models for interactive image labeling |
| learning | Structured Relation Embeddings for Fine-Grained Fashion Attribute Recognition |
| learning | Structured Visual Detectors From User Input At Multiple Levels |
| learning | structured visual dictionary for object tracking |
| learning | structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition |
| learning | Structures of Visual Patterns from Single Instances |
| learning | Student Networks in the Wild |
| learning | Style Compatibility for Furniture |
| learning | Style Correlation for Elaborate Few-Shot Classification |
| learning | Style Subspaces for Controllable Unpaired Domain Translation |
| learning | Stylometric Representations for Authorship Analysis |
| learning | Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging |
| learning | subcategory relevances for category recognition |
| learning | subsequential transducers for pattern recognition interpretation tasks |
| learning | Subspace Classification Using Subset Approximated Kernel Principal Component Analysis |
| learning | Subspace Classifiers and Error Corrective Feature Extraction |
| learning | Super-Resolution Coherent Facial Features Using Nonlinear Multiset PLS for Low-Resolution Face Recognition |
| learning | Super-Resolution Jointly From External and Internal Examples |
| learning | Super-Resolution Reconstruction for High Temporal Resolution Spike Stream |
| learning | superpixel relations for supervised image segmentation |
| learning | Superpixels with Segmentation-Aware Affinity Loss |
| learning | supervised binary hashing: Optimization vs diversity |
| learning | Supervised Topic Models for Classification and Regression from Crowds |
| learning | Support and Trivial Prototypes for Interpretable Image Classification |
| learning | Support Correlation Filters for Visual Tracking |
| learning | Support Vector Machines for A Multi-View Face Model |
| learning | Support Vectors for Face Verification and Recognition |
| learning | SURF Cascade for Fast and Accurate Object Detection |
| learning | Surrogates via Deep Embedding |
| learning | Surveillance Tracking Models for the Self-Calibrated Ground Plane |
| learning | SVM in Krein Spaces |
| learning | switching dynamic models for objects tracking |
| learning | Symbolic Descriptions of Shape for Object Recognition in X-Ray Images |
| learning | Symbolic Model-Agnostic Loss Functions via Meta-Learning |
| learning | Symbolic Model-Agnostic Loss Functions via Meta-Learning |
| learning | Symbolic Names for Perceived Colors |
| learning | symmetric face pose models online using locally weighted projectron regression |
| learning | symmetrical model for head pose estimation |
| learning | Symmetry Consistent Deep CNNs for Face Completion |
| learning | Symmetry-Aware Geometry Correspondences for 6D Object Pose Estimation |
| learning | System for Consolidated Recognition and Motion Analysis, A |
| learning | system for terrain recognition, A |
| learning | system of human facial expression for a family robot |
| learning | Target Candidate Association to Keep Track of What Not to Track |
| learning | target-aware correlation filters for visual tracking |
| learning | Target-Oriented Dual Attention for Robust RGB-T Tracking |
| learning | Target-specific Response Attention for Siamese Network Based Visual Tracking |
| learning | Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex |
| learning | Task-Specific Generalized Convolutions in the Permutohedral Lattice |
| learning | Task-Specific Object Recognition and Scene Understanding |
| learning | TBox With a Cascaded Anchor-Free Network for Vehicle Detection |
| learning | Techniques Applied to Multi-Font Character Recognition |
| learning | Templates for Artistic Portrait Lighting Analysis |
| learning | Temporal Action Proposals With Fewer Labels |
| learning | Temporal Alignment Uncertainty for Efficient Event Detection |
| learning | Temporal Co-Attention Models for Unsupervised Video Action Localization |
| learning | Temporal Consistency for Low Light Video Enhancement from Single Images |
| learning | Temporal Context in Active Object Recognition Using Bayesian Analysis |
| learning | Temporal Distribution and Spatial Correlation Toward Universal Moving Object Segmentation |
| learning | Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach |
| learning | Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach |
| learning | Temporal Dynamics from Cycles in Narrated Video |
| learning | Temporal Embeddings for Complex Video Analysis |
| learning | Temporal Features for Detection on Maritime Airborne Video Sequences Using Convolutional LSTM |
| learning | Temporal Regularity in Video Sequences |
| learning | Temporal Relations from Semantic Neighbors for Acoustic Scene Classification |
| learning | Temporal Sequence Model from Partially Labeled Data |
| learning | temporal signatures for Lip Reading |
| learning | temporal structure for task based control |
| learning | Temporal Transformations from Time-Lapse Videos |
| learning | Temporal Video Procedure Segmentation from an Automatically Collected Large Dataset |
| learning | Temporal-Correlated and Channel- Decorrelated Siamese Networks for Visual Tracking |
| learning | temporally consistent rigidities |
| learning | temporally correlated representations using LSTMS for visual tracking |
| learning | Temporary Block-Based Bidirectional Incongruity-Aware Correlation Filters for Efficient UAV Object Tracking |
| learning | Tensor Low-Rank Prior for Hyperspectral Image Reconstruction |
| learning | test-time augmentation for content-based image retrieval |
| learning | Text-Line Segmentation Using Codebooks and Graph Partitioning |
| learning | texton models for real-time scene context |
| learning | Texture Enhancement Prior with Deep Unfolding Network for Snapshot Compressive Imaging |
| learning | Texture Image Prior for Super Resolution Using Restricted Boltzmann Machine |
| learning | Texture Invariant Representation for Domain Adaptation of Semantic Segmentation |
| learning | Texture Transformer Network for Image Super-Resolution |
| learning | Texture-Discrimination Masks |
| learning | Texture-Discrimination Rules in a Multiresolution System |
| learning | the 3d Pose of Vehicles From 2d Vehicle Patches |
| learning | the abstract motion semantics of verbs from captioned videos |
| learning | the Appearance of Faces: A Morphable Model for the Analysis and Synthesis of Images |
| learning | the Behavior of Users in a Public Space through Video Tracking |
| learning | the Best Pooling Strategy for Visual Semantic Embedding |
| learning | the best subset of local features for face recognition |
| learning | the Change for Automatic Image Cropping |
| learning | the characteristics of critical cells from web tables |
| learning | the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories |
| learning | the Compositional Domains for Generalized Zero-shot Learning |
| learning | the Compositional Domains for Generalized Zero-shot Learning |
| learning | the Compositional Nature of Visual Object Categories for Recognition |
| learning | the Compositional Nature of Visual Objects |
| learning | The Compositional Structure Of Man-Made Objects For 3d Shape Retrieval |
| learning | the Connectivity: Situational Graph Convolution Network for Facial Expression Recognition |
| learning | the Cost of Edit Operations for Edit Distances |
| learning | the Deep Features for Eye Detection in Uncontrolled Conditions |
| learning | the Depths of Moving People by Watching Frozen People |
| learning | the discriminative dictionary for sparse representation by a general fisher regularized model |
| learning | The Discriminative Power-Invariance Trade-Off |
| learning | the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation |
| learning | the Distribution of Object Trajectories for Event Recognition |
| learning | the Distribution Preserving Semantic Subspace for Clustering |
| learning | the Distribution-Based Temporal Knowledge with Low Rank Response Reasoning for UAV Visual Tracking |
| learning | the Dynamics and Time-Recursive Boundary Detection of Deformable Objects |
| learning | the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network |
| learning | the easy things first: Self-paced visual category discovery |
| learning | the Face Prior for Bayesian Face Recognition |
| learning | the Face Space: Representation and Recognition |
| learning | the Floor Type for Automated Detection of Dirt Spots for Robotic Floor Cleaning Using Gaussian Mixture Models |
| learning | the Geometric Structure of Manifolds with Singularities Using the Tensor Voting Graph |
| learning | the Global Descriptor for 3-D Object Recognition Based on Multiple Views Decomposition |
| learning | the Graph Edit Distance Parameters for Point-Set Image Registration |
| learning | the Human Face Concept from Black and White Images |
| learning | the Image Processing Pipeline |
| learning | the Incremental Warp for 3D Vehicle Tracking in LiDAR Point Clouds |
| learning | the Information Divergence |
| learning | the Inverse Dynamics of Robotic Manipulators in Structured Reproducing Kernel Hilbert Space |
| learning | the Kernel Combination for Object Categorization |
| learning | the kernel matrix by maximizing a KFD-based class separability criterion |
| learning | the kernel parameters in kernel minimum distance classifier |
| learning | the Kernel Through Examples: An Application to Shape Classification |
| learning | the Latent Look: Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images |
| learning | the Lexicon from raw texts for open-vocabulary Korean word recognition |
| learning | the Link between Albedo and Reflectance: Machine Learning-Based Prediction of Hyperspectral Bands from CTX Images |
| learning | the Link between Albedo and Reflectance: Machine Learning-Based Prediction of Hyperspectral Bands from CTX Images |
| learning | the Model Update for Siamese Trackers |
| learning | the model update with local trusted templates for visual tracking |
| learning | The Morphological Diversity |
| learning | the Multilinear Structure of Visual Data |
| learning | the nature of generalisation errors in a 3D morphable model |
| learning | the Non-differentiable Optimization for Blind Super-Resolution |
| learning | the Optimal Transformation of Salient Features for Image Classification |
| learning | the Parts of Objects by non-Negative Matrix Factorization |
| learning | the Personalized Intransitive Preferences of Images |
| learning | the Policy for Mixed Electric Platoon Control of Automated and Human-Driven Vehicles at Signalized Intersection: A Random Search Approach |
| learning | the Predictability of the Future |
| learning | the Principles of Art History with convolutional neural networks |
| learning | the Probability of Correspondences without Ground Truth |
| learning | the Proximity Operator in Unfolded ADMM for Phase Retrieval |
| learning | the Redundancy-Free Features for Generalized Zero-Shot Object Recognition |
| learning | the Relation Between Interested Objects and Aesthetic Region for Image Cropping |
| learning | the Relation Between Similarity Loss and Clustering Loss in Self-Supervised Learning |
| learning | the Relation Between Similarity Loss and Clustering Loss in Self-Supervised Learning |
| learning | the Relationship Between High and Low Resolution Images in Kernel Space for Face Super Resolution |
| learning | the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search |
| learning | the right model: Efficient max-margin learning in Laplacian CRFs |
| learning | the right model: Efficient max-margin learning in Laplacian CRFs |
| learning | the Roots of Visual Domain Shift |
| learning | the Sampling Pattern for MRI |
| learning | the Scene Illumination for Color-Based People Tracking in Dynamic Environment |
| learning | the Semantic Landscape: Embedding scene knowledge in object tracking |
| learning | the Semantics in Image Retrieval: A Natural Language Processing Approach |
| learning | the Semantics of Images by Using Unlabeled Samples |
| learning | the Semantics of Words and Pictures |
| learning | the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks |
| learning | the shape manifold to improve object recognition |
| learning | the Space of Deep Models |
| learning | the spatiotemporal variability in longitudinal shape data sets |
| learning | the Spherical Harmonic Features for 3-D Face Recognition |
| learning | the Statistics of People in Images and Video |
| learning | the Structure of Deep Architectures Using L1 Regularization |
| learning | the Structure of Deep Convolutional Networks |
| learning | the Structure of Objects from Web Supervision |
| learning | the Stylistic Similarity Between Human Motions |
| learning | the Sub-optimal Graph Edit Distance Edit Costs Based on an Embedded Model |
| learning | the Superpixel in a Non-iterative and Lifelong Manner |
| learning | the Synthesizability of Dynamic Texture Samples |
| learning | the Taxonomy and Models of Categories Present in Arbitrary Images |
| learning | the Topology of Object Views |
| learning | the Traditional Art of Chinese Calligraphy via Three-Dimensional Reconstruction and Assessment |
| learning | the trip suggestion from landmark photos on the web |
| learning | the viewpoint manifold for action recognition |
| learning | the Visual Interpretation of Sentences |
| learning | the weight matrix for sparsity averaging in compressive imaging |
| learning | Theory of Randomized Sparse Kaczmarz Method |
| learning | Through Serious Games: A Digital Design Museum for Education |
| learning | time-aware features for action quality assessment |
| learning | Time/Memory-Efficient Deep Architectures with Budgeted Super Networks |
| learning | to Acquire the Quality of Human Pose Estimation |
| learning | to Act on Objects |
| learning | to Act Properly: Predicting and Explaining Affordances from Images |
| learning | to Active Learn by Gradient Variation based on Instance Importance |
| learning | to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification |
| learning | to Adapt Adversarial Perturbation Consistency for Domain Adaptive Semantic Segmentation of Remote Sensing Images |
| learning | to Adapt for Stereo |
| learning | to Adapt Invariance in Memory for Person Re-Identification |
| learning | to Adapt Structured Output Space for Semantic Segmentation |
| learning | to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection |
| learning | to Adapt to Light |
| learning | to Adapt to Unseen Abnormal Activities Under Weak Supervision |
| learning | to Adapt With Memory for Probabilistic Few-Shot Learning |
| learning | to Adapt With Memory for Probabilistic Few-Shot Learning |
| learning | to Adapt: A Method for Automatic Tuning of Algorithm Parameters |
| learning | to Adjust and Refine Gait Patterns for a Biped Robot |
| learning | to Adversarially Blur Visual Object Tracking |
| learning | to Affiliate: Mutual Centralized Learning for Few-shot Classification |
| learning | to Affiliate: Mutual Centralized Learning for Few-shot Classification |
| learning | to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection |
| learning | to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis |
| learning | to Align Images Using Weak Geometric Supervision |
| learning | to Align Semantic Segmentation and 2.5D Maps for Geolocalization |
| learning | to Align Sequential Actions in the Wild |
| learning | to Align via Wasserstein for Person Re-Identification |
| learning | to Anonymize Faces for Privacy Preserving Action Detection |
| learning | to Answer Questions in Dynamic Audio-Visual Scenarios |
| learning | to Anticipate Egocentric Actions by Imagination |
| learning | to Anticipate Future with Dynamic Context Removal |
| learning | to approximate global shape priors for figure-ground segmentation |
| learning | to Ask Informative Sub-Questions for Visual Question Answering |
| learning | to Assemble Neural Module Tree Networks for Visual Grounding |
| learning | to Assign Orientations to Feature Points |
| learning | to Associate Every Segment for Video Panoptic Segmentation |
| learning | to Associate Faces across Views in Vector Space of Similarities to Prototypes |
| learning | to Associate Words and Images Using a Large-Scale Graph |
| learning | to associate: HybridBoosted multi-target tracker for crowded scene |
| learning | to Augment Poses for 3D Human Pose Estimation in Images and Videos |
| learning | to Autofocus |
| learning | to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks |
| learning | to Balance Specificity and Invariance for In and Out of Domain Generalization |
| learning | to Balance the Learning Rates Between Various Modalities via Adaptive Tracking Factor |
| learning | to Balance the Learning Rates Between Various Modalities via Adaptive Tracking Factor |
| learning | to Better Segment Objects from Unseen Classes with Unlabeled Videos |
| learning | to Blend Photos |
| learning | To Blindly Assess Image Quality In The Laboratory And Wild |
| learning | to Boost Bottom-Up Fixation Prediction in Driving Environments via Random Forest |
| learning | to Boost Filamentary Structure Segmentation |
| learning | to Bundle-adjust: A Graph Network Approach to Faster Optimization of Bundle Adjustment for Vehicular SLAM |
| learning | to Calibrate Straight Lines for Fisheye Image Rectification |
| learning | to Caption Images Through a Lifetime by Asking Questions |
| learning | to capture dependencies between global features of different convolution layers |
| learning | to Capture Light Fields Through a Coded Aperture Camera |
| learning | to Capture the Query Distribution for Few-Shot Learning |
| learning | to Capture the Query Distribution for Few-Shot Learning |
| learning | to Caricature via Semantic Shape Transform |
| learning | to Cartoonize Using White-Box Cartoon Representations |
| learning | to Censor by Noisy Sampling |
| learning | to Class-Adaptively Manipulate Embeddings for Few-Shot Learning |
| learning | to Class-Adaptively Manipulate Embeddings for Few-Shot Learning |
| learning | to classify by ongoing feature selection |
| learning | to classify gender from four million images |
| learning | to Classify Structures in ALS-Derived Visualizations of Ancient Maya Settlements with CNN |
| learning | to Classify Weather Conditions from Single Images Without Labels |
| learning | to Cluster Faces on an Affinity Graph |
| learning | to Cluster Faces via Confidence and Connectivity Estimation |
| learning | to Cluster Under Domain Shift |
| learning | to cluster using high order graphical models with latent variables |
| learning | to Co-Generate Object Proposals with a Deep Structured Network |
| learning | to Collaborate in Decentralized Learning of Personalized Models |
| learning | to Collaborate in Decentralized Learning of Personalized Models |
| learning | to Collocate Neural Modules for Image Captioning |
| learning | to Collocate Visual-Linguistic Neural Modules for Image Captioning |
| learning | to Combine Bottom-Up and Top-Down Segmentation |
| learning | to Combine Mid-Level Cues for Object Proposal Generation |
| learning | to combine the modalities of language and video for temporal moment localization |
| learning | to Combine: Knowledge Aggregation for Multi-source Domain Adaptation |
| learning | to compare image patches via convolutional neural networks |
| learning | to Compare Relation: Semantic Alignment for Few-Shot Learning |
| learning | to Compare Relation: Semantic Alignment for Few-Shot Learning |
| learning | to Compare: Relation Network for Few-Shot Learning |
| learning | to Compare: Relation Network for Few-Shot Learning |
| learning | to complete partial observations from unpaired prior knowledge |
| learning | To Compose 6-DOF Omnidirectional Videos Using Multi-Sphere Images |
| learning | to Compose and Reason with Language Tree Structures for Visual Grounding |
| learning | to Compose Dynamic Tree Structures for Visual Contexts |
| learning | to Compose Hypercolumns for Visual Correspondence |
| learning | to compress videos without computing motion |
| learning | to Coordinate Traffic Signals With Adaptive Network Partition |
| learning | to Correct Axial Motion in OCT for 3D Retinal Imaging |
| learning | to Correct Sloppy Annotations in Electron Microscopy Volumes |
| learning | To Count Everything |
| learning | to Count in the Crowd from Limited Labeled Data |
| learning | to Count Leaves in Rosette Plants |
| learning | to Count with Back-propagated Information |
| learning | to Count with CNN Boosting |
| learning | to count with deep object features |
| learning | to count with regression forest and structured labels |
| learning | to Create Cartoon Images from a Very Small Dataset |
| learning | to Cut by Watching Movies |
| learning | to Deblur |
| learning | to Deblur Adaptive Optics Retinal Images |
| learning | to Deblur Images with Exemplars |
| learning | to Deblur using Light Field Generated and Real Defocus Images |
| learning | to Decipher License Plates in Severely Degraded Images |
| learning | to describe color composition of visual objects |
| learning | to Describe E-Commerce Images from Noisy Online Data |
| learning | to Detect 3D Lanes by Shape Matching and Embedding |
| learning | to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model |
| learning | to Detect 3D Symmetry From Single-View RGB-D Images With Weak Supervision |
| learning | to Detect a Salient Object |
| learning | to Detect A Salient Object |
| learning | to Detect Aircraft at Low Resolutions |
| learning | to Detect and Match Keypoints with Deep Architectures |
| learning | to Detect and Retrieve Objects From Unlabeled Videos |
| learning | to Detect and Segment for Open Vocabulary Object Detection |
| learning | to Detect and Track Visible and Occluded Body Joints in a Virtual World |
| learning | to Detect Anomalies in Surveillance Video |
| learning | to Detect Basal Tubules of Nematocysts in SEM Images |
| learning | to Detect Carried Objects with Minimal Supervision |
| learning | to detect concepts with Approximate Laplacian Eigenmaps in large-scale and online settings |
| learning | to detect contours in natural images via biologically motivated schemes |
| learning | to Detect Contours with Dynamic Programming Snakes |
| learning | to Detect Every Thing in an Open World |
| learning | to Detect Features in Texture Images |
| learning | to Detect Fine-Grained Change Under Variant Imaging Conditions |
| learning | to Detect Good 3D Keypoints |
| learning | to Detect Ground Control Points for Improving the Accuracy of Stereo Matching |
| learning | to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild |
| learning | to Detect Human-Object Interactions |
| learning | to Detect Human-Object Interactions With Knowledge |
| learning | to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection |
| learning | to Detect Instance-Level Salient Objects Using Complementary Image Labels |
| learning | to detect low-level features |
| learning | to Detect Mirrors from Videos via Dual Correspondences |
| learning | to Detect Mobile Objects from LiDAR Scans Without Labels |
| learning | to detect Motion Boundaries |
| learning | to Detect Moving Shadows in Dynamic Environments |
| learning | to Detect Multiple Photographic Defects |
| learning | to detect natural image boundaries using local brightness, color, and texture cues |
| learning | to Detect Objects in Images via a Sparse, Part-Based Representation |
| learning | to Detect Objects of Many Classes Using Binary Classifiers |
| learning | to Detect Open Classes for Universal Domain Adaptation |
| learning | to Detect Partially Overlapping Instances |
| learning | to Detect Phone-related Pedestrian Distracted Behaviors with Synthetic Data |
| learning | to Detect Roads in High-Resolution Aerial Images |
| learning | to Detect Rooftops in Aerial Images |
| learning | to Detect Salient Object With Multi-Source Weak Supervision |
| learning | to Detect Salient Objects in Natural Scenes Using Visual Attention |
| learning | to Detect Salient Objects with Image-Level Supervision |
| learning | to Detect Scene Landmarks for Camera Localization |
| learning | to Detect Scene Text Using a Higher-Order MRF with Belief Propagation |
| learning | to Detect Semantic Boundaries with Image-Level Class Labels |
| learning | to Detect Small Impact Craters |
| learning | to Detect Stent Struts in Intravascular Ultrasound |
| learning | to Detect Tables in Scanned Document Images Using Line Information |
| learning | to detect traffic signs: Comparative evaluation of synthetic and real-world datasets |
| learning | to detect unseen object classes by between-class attribute transfer |
| learning | to Detect Vehicles by Clustering Appearance Patterns |
| learning | to detect video events from zero or very few video examples |
| learning | to Detect Video Saliency With HEVC Features |
| learning | to detect violent videos using convolutional long short-term memory |
| learning | to detect, localize and recognize many text objects in document images from few examples |
| learning | to Diffuse: A New Perspective to Design PDEs for Visual Analysis |
| learning | to Disambiguate by Asking Discriminative Questions |
| learning | To Disambiguate Strongly Interacting Hands via Probabilistic Per-Pixel Part Segmentation |
| learning | to Discover a Unified Architecture for Low-Level Vision |
| learning | to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition |
| learning | to Discover Novel Visual Categories via Deep Transfer Clustering |
| learning | to Discover Reflection Symmetry via Polar Matching Convolution |
| learning | to Discriminate Information for Online Action Detection |
| learning | to Discriminate Information for Online Action Detection: Analysis and Application |
| learning | to Disentangle Latent Physical Factors for Video Prediction |
| learning | To Disentangle Representations for Rain Streak Removal |
| learning | to disentangle scenes for person re-identification |
| learning | to Disentangle the Colors, Textures, and Shapes of Fashion Items: A Unified Framework |
| learning | to display high dynamic range images |
| learning | to Distill Convolutional Features into Compact Local Descriptors |
| learning | to Distill Global Representation for Sparse-View CT |
| learning | to Distort Images Using Generative Adversarial Networks |
| learning | to Distribute Vocabulary Indexing for Scalable Visual Search |
| learning | to Diversify Deep Belief Networks for Hyperspectral Image Classification |
| learning | to Diversify for Single Domain Generalization |
| learning | to Divide and Conquer for Online Multi-target Tracking |
| learning | to Dodge A Bullet: Concyclic View Morphing via Deep Learning |
| learning | to Dodge A Bullet: Concyclic View Morphing via Deep Learning |
| learning | to Draw Sight Lines |
| learning | to Draw Through A Multi-Stage Environment Model Based Reinforcement Learning |
| learning | to Draw Through A Multi-Stage Environment Model Based Reinforcement Learning |
| learning | to Dress 3D People in Generative Clothing |
| learning | to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining |
| learning | to drive from a world on rails |
| learning | to Drive Like Human Beings: A Method Based on Deep Reinforcement Learning |
| learning | to Drive Like Human Beings: A Method Based on Deep Reinforcement Learning |
| learning | to Drive Using Sparse Imitation Reinforcement Learning |
| learning | to Drive Using Sparse Imitation Reinforcement Learning |
| learning | to Dub Movies via Hierarchical Prosody Models |
| learning | to Efficiently Detect Repeatable Interest Points in Depth Data |
| learning | to Eliminate Background Effects in Object Recognition |
| learning | to Embed Semantic Similarity for Joint Image-Text Retrieval |
| learning | to encode user-generated short videos with lower bitrate and the same perceptual quality |
| learning | to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation |
| learning | to Estimate 3D Hand Pose from Single RGB Images |
| learning | to Estimate 3D Human Pose and Shape from a Single Color Image |
| learning | to Estimate and Remove Non-uniform Image Blur |
| learning | to Estimate Hidden Motions with Global Motion Aggregation |
| learning | to Estimate Human Pose with Data Driven Belief Propagation |
| learning | to Estimate Indoor Lighting from 3D Objects |
| learning | to Estimate Multi-view Pose from Object Silhouettes |
| learning | to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes |
| learning | to Evaluate Image Captioning |
| learning | to Evaluate Perception Models Using Planner-Centric Metrics |
| learning | to Explain With Complemental Examples |
| learning | to Exploit Multiple Vision Modalities by Using Grafted Networks |
| learning | to Exploit Temporal Structure for Biomedical Vision-Language Processing |
| learning | to Exploit the Prior Network Knowledge for Weakly Supervised Semantic Segmentation |
| learning | to Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization |
| learning | to Explore Distillability and Sparsability: A Joint Framework for Model Compression |
| learning | to Explore Intrinsic Saliency for Stereoscopic Video |
| learning | to Explore Saliency for Stereoscopic Videos Via Component-Based Interaction |
| learning | to Extract a Video Sequence from a Single Motion-Blurred Image |
| learning | to Extract Building Footprints From Off-Nadir Aerial Images |
| learning | to Extract Flawless Slow Motion From Blurry Videos |
| learning | to Extract Focused Objects From Low DOF Images |
| learning | to Extract Motion from Videos in Convolutional Neural Networks |
| learning | to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks |
| learning | to Extract Temporal Signal Patterns from Temporal Signal Sequence |
| learning | to Factorize and Relight a City |
| learning | to Film From Professional Human Motion Videos |
| learning | to Filter Object Detections |
| learning | to Filter: Siamese Relation Network for Robust Tracking |
| learning | to Find Common Objects Across Few Image Collections |
| learning | to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks |
| learning | to Find Good Correspondences |
| learning | To Find Good Correspondences Of Multiple Objects |
| learning | to Find Good Models in RANSAC |
| learning | to Find Graph Pre-images |
| learning | to Find Object Boundaries Using Motion Cues |
| learning | to find occlusion regions |
| learning | to Find Unpaired Cross-Spectral Correspondences |
| learning | to Fit Morphable Models |
| learning | to Fixate on 3D Targets with Uncalibrated Active Cameras |
| learning | to Focus and Discriminate for Fine-Grained Classification |
| learning | to focus on region-of-interests for pain intensity estimation |
| learning | to Follow and Generate Instructions for Language-Capable Navigation |
| learning | to Forecast and Refine Residual Motion for Image-to-Video Generation |
| learning | to Forget for Meta-Learning |
| learning | to Forget for Meta-Learning |
| learning | to Forget for Meta-Learning via Task-and-Layer-Wise Attenuation |
| learning | to Forget for Meta-Learning via Task-and-Layer-Wise Attenuation |
| learning | to Form Large Groups of Salient Image Features |
| learning | to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation |
| learning | to Fuse Asymmetric Feature Maps in Siamese Trackers |
| learning | to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes |
| learning | to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching |
| learning | to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification |
| learning | to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification |
| learning | to Generate 3D Stylized Character Expressions from Humans |
| learning | to Generate 3D Training Data Through Hybrid Gradient |
| learning | to generate chairs with convolutional neural networks |
| learning | to Generate Chairs, Tables and Cars with Convolutional Networks |
| learning | to Generate Customized Dynamic 3d Facial Expressions |
| learning | to Generate Dense Point Clouds with Textures on Multiple Categories |
| learning | to Generate Facial Depth Maps |
| learning | to Generate Grounded Visual Captions Without Localization Supervision |
| learning | to Generate High-Quality Images for Homography Estimation |
| learning | to Generate Image Embeddings with User-Level Differential Privacy |
| learning | to generate images with perceptual similarity metrics |
| learning | to Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic Space |
| learning | to generate line drawings that convey geometry and semantics |
| learning | to Generate Multi-Exposure Stacks With Cycle Consistency for High Dynamic Range Imaging |
| learning | to Generate Novel Domains for Domain Generalization |
| learning | to generate novel views of objects for class recognition |
| learning | to Generate Object Segment Proposals with Multi-modal Cues |
| learning | to Generate Realistic LiDAR Point Clouds |
| learning | to Generate Scene Graph from Natural Language Supervision |
| learning | to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis |
| learning | to Generate Synthetic Data via Compositing |
| learning | to Generate Text-Grounded Mask for Open-World Semantic Segmentation from Only Image-Text Pairs |
| learning | to Generate the Unknowns as a Remedy to the Open-Set Domain Shift |
| learning | to Generate Time-Lapse Videos Using Multi-stage Dynamic Generative Adversarial Networks |
| learning | to Grasp Familiar Objects Based on Experience and Objects' Shape Affordance |
| learning | to Ground Instructional Articles in Videos through Narrations |
| learning | to Group Objects |
| learning | to Group Text Lines and Regions in Freeform Handwritten Notes |
| learning | to Guide a Saturation-Based Theorem Prover |
| learning | to Guide Local Feature Matches |
| learning | to Hallucinate Examples from Extrinsic and Intrinsic Supervision |
| learning | to Hallucinate Face in the Dark |
| learning | to Hallucinate Face in the Dark |
| learning | to Hash for Personalized Image Authentication |
| learning | to Hash with Binary Deep Neural Network |
| learning | to Hash With Dimension Analysis Based Quantizer for Image Retrieval |
| learning | to Hash With Optimized Anchor Embedding for Scalable Retrieval |
| learning | to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval |
| learning | to Have an Ear for Face Super-Resolution |
| learning | to Identify and Track Faces in Image Sequences |
| learning | to Identify Correct 2D-2D Line Correspondences on Sphere |
| learning | to Identify Critical States for Reinforcement Learning from Videos |
| learning | to Identify Critical States for Reinforcement Learning from Videos |
| learning | to Identify Facial Expression During Detection Using Markov Decision Process |
| learning | to Identify Illegal Landfills through Scene Classification in Aerial Images |
| learning | to identify leaders in crowd |
| learning | to Identify Physical Parameters from Video Using Differentiable Physics |
| learning | to Identify While Failing to Discriminate |
| learning | to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data |
| learning | to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data |
| learning | to Imitate Human Movement to Adapt to Environmental Changes |
| learning | to Immunize Images for Tamper Localization and Self-Recovery |
| learning | to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images |
| learning | to Index for Nearest Neighbor Search |
| learning | to Index in Large-Scale Datasets |
| learning | to infer human attention in daily activities |
| learning | to Infer Public Emotions from Large-Scale Networked Voice Data |
| learning | to Infer Semantic Parameters for 3D Shape Editing |
| learning | to Infer Unseen Single-/ Multi-Attribute-Object Compositions With Graph Networks |
| learning | to Inpaint by Progressively Growing the Mask Regions |
| learning | to Integrate Occlusion-Specific Detectors for Heavily Occluded Pedestrian Detection |
| learning | to Invert Local Binary Patterns |
| learning | to Joint Remosaic and Denoise in Quad Bayer CFA via Universal Multi-scale Channel Attention Network |
| learning | to Jointly Generate and Separate Reflections |
| learning | to Jointly Segment the Liver, Lesions and Vessels from Partially Annotated Datasets |
| learning | to Know Where to See: A Visibility-Aware Approach for Occluded Person Re-identification |
| learning | to Learn across Diverse Data Biases in Deep Face Recognition |
| learning | to Learn and Remember Super Long Multi-Domain Task Sequence |
| learning | to Learn Better Unimodal Representations via Adaptive Multimodal Meta-Learning |
| learning | to Learn Better Unimodal Representations via Adaptive Multimodal Meta-Learning |
| learning | to Learn by Jointly Optimizing Neural Architecture and Weights |
| learning | to Learn Cropping Models for Different Aspect Ratio Requirements |
| learning | to Learn From Noisy Labeled Data |
| learning | to Learn from Noisy Web Videos |
| learning | to Learn from Web Data Through Deep Semantic Embeddings |
| learning | to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning |
| learning | to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning |
| learning | to Learn Image Classifiers With Visual Analogy |
| learning | to Learn in a Semi-Supervised Fashion |
| learning | to Learn Parameterized Classification Networks for Scalable Input Images |
| learning | to Learn Relation for Important People Detection in Still Images |
| learning | to Learn Second-Order Back-Propagation for CNNs Using LSTMs |
| learning | to Learn Single Domain Generalization |
| learning | to Learn Task-Adaptive Hyperparameters for Few-Shot Learning |
| learning | to Learn Task-Adaptive Hyperparameters for Few-Shot Learning |
| learning | to Learn with Smooth Regularization |
| learning | to Learn With Variational Inference for Cross-Domain Image Classification |
| learning | to Learn with Variational Information Bottleneck for Domain Generalization |
| learning | to Learn Words from Visual Scenes |
| learning | to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective |
| learning | to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective |
| learning | to learn: From smart machines to intelligent machines |
| learning | to Learn: How to Continuously Teach Humans and Machines |
| learning | to Learn: Model Regression Networks for Easy Small Sample Learning |
| learning | to Learn: Model Regression Networks for Easy Small Sample Learning |
| learning | to lip read words by watching videos |
| learning | to Listen: Modeling Non-Deterministic Dyadic Facial Motion |
| learning | to Localise and Count with Incomplete Dot-Annotations |
| learning | to Localize Actions from Moments |
| learning | to localize detected objects |
| learning | to Localize Little Landmarks |
| learning | to Localize Objects with Structured Output Regression |
| learning | to Localize Sound Source in Visual Scenes |
| learning | to Localize Sound Sources in Visual Scenes: Analysis and Applications |
| learning | to Localize Through Compressed Binary Maps |
| learning | to Locate Cortical Bone in MRI |
| learning | to locate for fine-grained image recognition |
| learning | to Locate Informative Features for Visual Identification |
| learning | to Look around Objects for Top-View Representations of Outdoor Scenes |
| learning | to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks |
| learning | to Look at Humans: What Are the Parts of a Moving Body? |
| learning | to look up: Realtime monocular gaze correction using machine learning |
| learning | to look up: Realtime monocular gaze correction using machine learning |
| learning | to Manipulate Individual Objects in an Image |
| learning | to Map Vehicles into Bird's Eye View |
| learning | to Match Aerial Images with Deep Attentive Architectures |
| learning | to Match Anchor-Target Video Pairs With Dual Attentional Holographic Networks |
| learning | to Match Anchors for Visual Object Detection |
| learning | to Match Appearances by Correlations in a Covariance Metric Space |
| learning | to Match Features with Seeded Graph Matching Network |
| learning | to Match Images in Large-Scale Collections |
| learning | to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models |
| learning | to Measure the Point Cloud Reconstruction Loss in a Representation Space |
| learning | to Measure the Static Friction Coefficient in Cloth Contact |
| learning | to Memorize Feature Hallucination for One-Shot Image Generation |
| learning | to Mimic Motion of Human Arm and Hand Grabbing for Constraint Adaptation |
| learning | to Minify Photometric Stereo |
| learning | to Minimize the Remainder in Supervised Learning |
| learning | to Minimize the Remainder in Supervised Learning |
| learning | to Model and Calibrate Optics Via a Differentiable Wave Optics Simulator |
| learning | to Model Relationships for Zero-Shot Video Classification |
| learning | to multimodal hash for robust video copy detection |
| learning | to Name Classes for Vision and Language Models |
| learning | to Name Objects |
| learning | to Navigate for Fine-Grained Classification |
| learning | to Navigate in the Gaussian Mixture Surface |
| learning | to Navigate on a Graph |
| learning | to Navigate Robotic Wheelchairs from Demonstration: Is Training in Simulation Viable? |
| learning | to Navigate the Energy Landscape |
| learning | to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations |
| learning | to Optimize Domain Specific Normalization for Domain Generalization |
| learning | to Optimize Non-Rigid Tracking |
| learning | to Optimize on Riemannian Manifolds |
| learning | to Optimize on SPD Manifolds |
| learning | to Overcome Noise in Weak Caption Supervision for Object Detection |
| learning | to Paint With Model-Based Deep Reinforcement Learning |
| learning | to Paint With Model-Based Deep Reinforcement Learning |
| learning | to Parse Pictures of People |
| learning | to Parse Wireframes in Images of Man-Made Environments |
| learning | to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification |
| learning | to Perform Visual Tasks from Human Demonstrations |
| learning | to Personalize in Appearance-Based Gaze Tracking |
| learning | to Photograph: A Compositional Perspective |
| learning | to Plan Semantic Free-Space Boundary |
| learning | to Plan with Uncertain Topological Maps |
| learning | to pool high-level features for face representation |
| learning | to Predict 3D Mesh Saliency |
| learning | to Predict 3D Surfaces of Sculptures from Single and Multiple Views |
| learning | to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network |
| learning | to Predict Context-adaptive Convolution for Semantic Segmentation |
| learning | to Predict Crisp Boundaries |
| learning | to predict crop type from heterogeneous sparse labels using meta-learning |
| learning | to predict crop type from heterogeneous sparse labels using meta-learning |
| learning | to Predict Decomposed Dynamic Filters for Single Image Motion Deblurring |
| learning | to Predict Gaze in Egocentric Video |
| learning | to predict gender from iris images |
| learning | to Predict High-Quality Edge Maps for Room Layout Estimation |
| learning | to Predict Keypoints and Structure of Articulated Objects without Supervision |
| learning | to Predict Lidar Intensities |
| learning | to Predict Object-Wise Just Recognizable Distortion for Image and Video Compression |
| learning | to Predict Saliency on Face Images |
| learning | to Predict Salient Faces: A Novel Visual-Audio Saliency Model |
| learning | to Predict Scene-Level Implicit 3D from Posed RGBD Data |
| learning | to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps |
| learning | to predict super resolution wavelet coefficients |
| learning | to predict the perceived visual quality of photos |
| learning | to predict the quality of distorted-then-compressed images via a deep neural network |
| learning | to Predict Visual Attributes in the Wild |
| learning | to predict where humans look |
| learning | to Predict where the Children with ASD Look |
| learning | to Produce 3D Media From a Captured 2D Video |
| learning | to Promote Saliency Detectors |
| learning | to Prompt CLIP for Monocular Depth Estimation: Exploring the Limits of Human Language |
| learning | to Prompt for Continual Learning |
| learning | to Prompt for Continual Learning |
| learning | to Prompt for Open-Vocabulary Object Detection with Vision-Language Model |
| learning | to Prompt for Vision-Language Models |
| learning | to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction |
| learning | to propose objects |
| learning | to Prune Filters in Convolutional Neural Networks |
| learning | to Prune in Training via Dynamic Channel Propagation |
| learning | to Purification for Unsupervised Person Re-Identification |
| learning | to Push the Limits of Efficient FFT-Based Image Deconvolution |
| learning | to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss |
| learning | to Rank 3D Features |
| learning | to rank approach for refining image retrieval in visual arts |
| learning | to Rank Atlases for Multiple-Atlas Segmentation |
| learning | to Rank Based on Subsequences |
| learning | to rank biological motion trajectories |
| learning | to Rank Food Images |
| learning | to Rank for Active Learning: A Listwise Approach |
| learning | to Rank for Active Learning: A Listwise Approach |
| learning | to Rank from Medical Imaging Data |
| learning | to Rank Histograms for Object Retrieval |
| learning | to Rank Image Tags With Limited Training Examples |
| learning | to rank images from eye movements |
| learning | to rank images using semantic and aesthetic labels |
| learning | to rank in person re-identification with metric ensembles |
| learning | to Rank Proposals for Object Detection |
| learning | to Rank Proposals for Siamese Visual Tracking |
| learning | to Rank Retargeted Images |
| learning | to rank salient segments extracted by multispectral Quantum Cuts |
| learning | to rank tags |
| learning | to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data |
| learning | to Rank Using High-Order Information |
| learning | to Rank Using Privileged Information |
| learning | to rank videos personally using multiple clues |
| learning | to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation |
| learning | to Read L'Infinito: Handwritten Text Recognition with Synthetic Training Data |
| learning | to realign hierarchy for image segmentation |
| learning | to Reason: End-to-End Module Networks for Visual Question Answering |
| learning | to Reassemble Shredded Documents |
| learning | to recognise 3D human action from a new skeleton-based representation using deep convolutional neural networks |
| learning | to Recognise Talking Faces |
| learning | to Recognize 3D Objects with SNoW |
| learning | to recognize a sign from a single example |
| learning | to Recognize Actions on Objects in Egocentric Video With Attention Dictionaries |
| learning | to Recognize Activities from the Wrong View Point |
| learning | to Recognize and Grasp Objects |
| learning | to Recognize Complex Actions Using Conditional Random Fields |
| learning | to Recognize Daily Actions Using Gaze |
| learning | to Recognize Faces from Examples |
| learning | to recognize faces from videos and weakly related information cues |
| learning | to Recognize Faces Incrementally |
| learning | to recognize gender using experience |
| learning | to recognize generic visual categories using a hybrid structural approach |
| learning | to recognize Hand-printed Chinese characters using Inductive Logic Programming |
| learning | to Recognize Human Actions From Noisy Skeleton Data Via Noise Adaptation |
| learning | to Recognize Human Activities Using Soft Labels |
| learning | to Recognize Objects |
| learning | to Recognize Objects by Retaining Other Factors of Variation |
| learning | to Recognize Objects from Unseen Modalities |
| learning | to recognize objects in egocentric activities |
| learning | To Recognize Objects Using Feature Indexed Hypotheses |
| learning | to Recognize Objects with Little Supervision |
| learning | to recognize opinion targets using recurrent neural networks |
| learning | to recognize patterns with a probabilistic teacher |
| learning | to recognize people in a smart environment |
| learning | To Recognize Procedural Activities with Distant Supervision |
| learning | to recognize shadows in monochromatic natural images |
| learning | to Recognize Touch Gestures: Recurrent vs. Convolutional Features and Dynamic Sampling |
| learning | to Recognize Unsuccessful Activities Using a Two-Layer Latent Structural Model |
| learning | to Recognize Video-Based Spatiotemporal Events |
| learning | to Recognize Visual Dynamic Events from Examples |
| learning | to Recommend Frame for Interactive Video Object Segmentation in the Wild |
| learning | to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop |
| learning | to Reconstruct 3D Manhattan Wireframes From a Single Image |
| learning | to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image |
| learning | to Reconstruct and Understand Indoor Scenes From Sparse Views |
| learning | to Reconstruct Computed Tomography Images Directly From Sinogram Data Under A Variety of Data Acquisition Conditions |
| learning | to Reconstruct CT Images From the VVBP-Tensor |
| learning | to Reconstruct HDR Images from Events, with Applications to Depth and Flow Prediction |
| learning | to Reconstruct High Speed and High Dynamic Range Videos from Events |
| learning | to Reconstruct High-Quality 3D Shapes with Cascaded Fully Convolutional Networks |
| learning | to Reconstruct People in Clothing From a Single RGB Camera |
| learning | to Reconstruct Symmetric Shapes using Planar Parameterization of 3D Surface |
| learning | to Reconstruct Texture-Less Deformable Surfaces from a Single View |
| learning | to Recover 3D Scene Shape from a Single Image |
| learning | to recover lost details from the dark |
| learning | to rectify for robust learning with noisy labels |
| learning | to rectify for robust learning with noisy labels |
| learning | to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data |
| learning | to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification |
| learning | to Reduce Scale Differences for Large-Scale Invariant Image Matching |
| learning | to Refactor Action and Co-occurrence Features for Temporal Action Localization |
| learning | to Refine 3D Human Pose Sequences |
| learning | to refine depth for robust stereo estimation |
| learning | to Refine Human Pose Estimation |
| learning | to Refine Object Segments |
| learning | to Regress 3D Face Shape and Expression From an Image Without 3D Supervision |
| learning | to Regress Bodies from Images using Differentiable Semantic Rendering |
| learning | to Relate Depth and Semantics for Unsupervised Domain Adaptation |
| learning | to Relate Images |
| learning | to Remember Past to Predict Future for Visual Tracking |
| learning | to Remember: A Synaptic Plasticity Driven Framework for Continual Learning |
| learning | to Remember: A Synaptic Plasticity Driven Framework for Continual Learning |
| learning | to Remove Rain in Video With Self-Supervision |
| learning | to remove reflections from windshield images |
| learning | to Remove Refractive Distortions from Underwater Images |
| learning | to Remove Shadows from a Single Image |
| learning | to remove staff lines from music score images |
| learning | to Render Better Image Previews |
| learning | to Render Novel Views from Wide-Baseline Stereo Pairs |
| learning | to Represent Handwritten Shapes and Words for Matching and Recognition |
| learning | to rerank images with enhanced spatial verification |
| learning | to Rerank Web Images |
| learning | to Resize Images for Computer Vision Tasks |
| learning | to resolve uncertainties for large-scale face recognition |
| learning | to Restore 3D Face from In-the-Wild Degraded Images |
| learning | to restore deteriorated line drawing |
| learning | to Restore Hazy Video: A New Real-World Dataset and A New Method |
| learning | to Restore Images Degraded by Atmospheric Turbulence Using Uncertainty |
| learning | to Restore Low-Light Images via Decomposition-and-Enhancement |
| learning | to restore multiple image degradations simultaneously |
| learning | to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation |
| learning | to Sample |
| learning | to Scale Multilingual Representations for Vision-Language Tasks |
| learning | to schedule multi-NUMA virtual machines via reinforcement learning |
| learning | to schedule multi-NUMA virtual machines via reinforcement learning |
| learning | to Score Figure Skating Sport Videos |
| learning | to Score Olympic Events |
| learning | to Search for and Detect Objects in Foveal Images Using Deep Learning |
| learning | to Search for and Detect Objects in Foveal Images Using Deep Learning |
| learning | to Search for Objects in Images from Human Gaze Sequences |
| learning | to See |
| learning | to See by Moving |
| learning | to See in Nighttime Driving Scenes with Inter-frequency Priors |
| learning | to See in the Dark |
| learning | to See in the Dark with Events |
| learning | to See Moving Objects in the Dark |
| learning | to See the Invisible: End-to-End Trainable Amodal Instance Segmentation |
| learning | to See Through Obstructions |
| learning | to See Through Obstructions With Layered Decomposition |
| learning | to See Through Turbulent Water |
| learning | to See Through with Events |
| learning | to Segment |
| learning | to Segment 3D Point Clouds in 2D Image Space |
| learning | to Segment a Video to Clips Based on Scene and Camera Motion |
| learning | to Segment Actions from Visual and Language Instructions via Differentiable Weak Sequence Alignment |
| learning | to Segment Affordances |
| learning | to Segment Breast Biopsy Whole Slide Images |
| learning | to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection |
| learning | to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection |
| learning | to segment dense cell nuclei with shape prior |
| learning | to Segment Dominant Object Motion from Watching Videos |
| learning | to Segment Dynamic Objects using SLAM Outliers |
| learning | to Segment Every Referring Object Point by Point |
| learning | to Segment Every Thing |
| learning | to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates |
| learning | to Segment Human by Watching YouTube |
| learning | to Segment Humans by Stacking Their Body Parts |
| learning | to segment images using region-based perceptual features |
| learning | to Segment Moving Objects |
| learning | to segment moving objects in videos |
| learning | to Segment Object Candidates via Recursive Neural Networks |
| learning | to segment on tiny datasets: A new shape model |
| learning | to Segment Rigid Motions from Two Frames |
| learning | to Segment the Tail |
| learning | to segment under various forms of weak supervision |
| learning | to segment using machine-learned penalized logistic models |
| learning | to Segment via Cut-and-Paste |
| learning | to Segment Video Object With Accurate Boundaries |
| learning | to segment with image-level annotations |
| learning | to Segment With Image-Level Supervision |
| learning | to Select and Order Vacation Photographs |
| learning | to Select Base Classes for Few-Shot Classification |
| learning | to select cuts for efficient mixed-integer programming |
| learning | to Select Long-Track Features for Structure-From-Motion and Visual SLAM |
| learning | to Select Pre-Trained Deep Representations with Bayesian Evidence Framework |
| learning | to Select Useful Landmarks |
| learning | to Semantically Segment High-Resolution Remote Sensing Images |
| learning | to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization |
| learning | to Separate Multiple Illuminants in a Single Image |
| learning | to Separate Object Sounds by Watching Unlabeled Video |
| learning | to Separate: Detecting Heavily-Occluded Objects in Urban Scenes |
| learning | to Shadow Hand-Drawn Sketches |
| learning | to Share Latent Tasks for Action Recognition |
| learning | to share visual appearance for multiclass object detection |
| learning | to Simulate Complex Scenes for Street Scene Segmentation |
| learning | to Simulate Dynamic Environments With GameGAN |
| learning | to Sketch with Shortcut Cycle Consistency |
| learning | to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming |
| learning | to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming |
| learning | to Solve Hard Minimal Problems |
| learning | to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning |
| learning | to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning |
| learning | to Solve Nonlinear Least Squares for Monocular Stereo |
| learning | to Sort Handwritten Text Lines in Reading Order through Estimated Binary Order Relations |
| learning | to Structure an Image With Few Colors |
| learning | to Stylize Novel Views |
| learning | to summarize web image and text mutually |
| learning | to Super Resolve Intensity Images From Events |
| learning | to Super-Resolve Blurry Face and Text Images |
| learning | to Super-Resolve Blurry Images With Events |
| learning | to Supervise Knowledge Retrieval Over a Tree Structure for Visual Question Answering |
| learning | to Synthesize a 4D RGBD Light Field from a Single Image |
| learning | to Synthesize Motion Blur |
| learning | to Take Directions One Step at a Time |
| learning | to teach and learn for semi-supervised few-shot image classification |
| learning | to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift |
| learning | to Track Aircraft in Infrared Imagery |
| learning | to Track and Identify Players from Broadcast Sports Videos |
| learning | to Track at 100 FPS with Deep Regression Networks |
| learning | to Track for Spatio-Temporal Action Localization |
| learning | to Track Instances without Video Annotations |
| learning | to Track Objects from Unlabeled Videos |
| learning | to Track Objects Through Unobserved Regions |
| learning | to Track the Visual-Motion of Contours |
| learning | to track with multiple observers |
| learning | to Track with Object Permanence |
| learning | to Track: Conceptual Manifold Map for Closed-Form Tracking |
| learning | to Track: Online Multi-object Tracking by Decision Making |
| learning | to Train a Point Cloud Reconstruction Network Without Matching |
| learning | to Train with Synthetic Humans |
| learning | to Transfer Examples for Partial Domain Adaptation |
| learning | to transfer focus of graph neural network for scene graph parsing |
| learning | to Transfer Learn: Reinforcement Learning-based Selection for Adaptive Transfer Learning |
| learning | to Transfer Learn: Reinforcement Learning-based Selection for Adaptive Transfer Learning |
| learning | to Transfer Learn: Reinforcement Learning-based Selection for Adaptive Transfer Learning |
| learning | to transfer microscopy image modalities |
| learning | to Transfer Texture From Clothing Images to 3D Humans |
| learning | to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection |
| learning | to Transform for Generalizable Instance-wise Invariance |
| learning | to Transform Time Series with a Few Examples |
| learning | to Translate Between Real World and Simulated 3D Sensors While Transferring Task Models |
| learning | to Translate for Cross-Source Remote Sensing Image Retrieval |
| learning | to tune level set methods |
| learning | To Understand Aerial Images |
| learning | to Understand Image Blur |
| learning | to Update for Object Tracking With Recurrent Meta-Learner |
| learning | to Upsample by Learning to Sample |
| learning | to Upsample by Learning to Sample |
| learning | to Visualize Music Through Shot Sequence for Automatic Concert Video Mashup |
| learning | to Walk on Low Friction Terrain by Reinforcement Learning |
| learning | to Walk on Low Friction Terrain by Reinforcement Learning |
| learning | to Warp for Style Transfer |
| learning | to Weight Color and Depth for RGB-D Visual Search |
| learning | to Weight Filter Groups for Robust Classification |
| learning | to Weight Samples for Dynamic Early-Exiting Networks |
| learning | to Zoom and Unzoom |
| learning | to Zoom Inside Camera Imaging Pipeline |
| learning | to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation |
| learning | to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation |
| learning | to Zoom: A Saliency-Based Sampling Layer for Neural Networks |
| learning | top down scene context for visual attention modeling in natural images |
| learning | top-down feature based attention control |
| learning | Top-Down Grouping of Compositional Hierarchies for Recognition |
| learning | Topic Models by Belief Propagation |
| learning | Topics Using Semantic Locality |
| learning | Topological Interactions for Multi-Class Medical Image Segmentation |
| learning | Topology: Bridging Computational Topology and Machine Learning |
| learning | Topology: Bridging Computational Topology and Machine Learning |
| learning | Torso Prior for Co-Speech Gesture Generation with Better Hand Shape |
| learning | Traces by Yourself: Blind Image Forgery Localization via Anomaly Detection With ViT-VAE |
| learning | Tracking Representations via Dual-Branch Fully Transformer Networks |
| learning | Traffic Network Embeddings for Predicting Congestion Propagation |
| learning | Traffic Patterns at Small Airports From Flight Tracks |
| learning | Trailer Moments in Full-length Movies with Co-contrastive Attention |
| learning | Training Samples for Occlusion Edge Detection and Its Application in Depth Ordering Inference |
| learning | Trajectory Dependencies for Human Motion Prediction |
| learning | trajectory patterns by clustering: Experimental studies and comparative evaluation |
| learning | Trajectory-Aware Transformer for Video Super-Resolution |
| learning | Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior |
| learning | Trajectory-Word Alignments for Video-Language Tasks |
| learning | Trans-Dimensional Random Fields with Applications to Language Modeling |
| learning | Transferable and Discriminative Representations for 2D Image-Based 3D Model Retrieval |
| learning | Transferable Architectures for Scalable Image Recognition |
| learning | transferable features in meta-learning for few-shot text classification |
| learning | transferable features in meta-learning for few-shot text classification |
| learning | Transferable Human-Object Interaction Detector with Natural Language Supervision |
| learning | Transferable Parameters for Unsupervised Domain Adaptation |
| learning | Transferable Sparse Representations for Cross-Corpus Facial Expression Recognition |
| learning | Transferable Spatiotemporal Representations from Natural Script Knowledge |
| learning | Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network |
| learning | Transformation Synchronization |
| learning | Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes |
| learning | Transformation-Predictive Representations for Detection and Description of Local Features |
| learning | Transformations |
| learning | Transformations to Reduce the Geometric Shift in Object Detection |
| learning | transformer-based attention region with multiple scales for occluded person re-identification |
| learning | Transparent Object Matting |
| learning | Traversability From Point Clouds in Challenging Scenarios |
| learning | tree-structured approximations for conditional random fields |
| learning | Tree-structured Quantizers for Image Categorization |
| learning | Triadic Belief Dynamics in Nonverbal Communication from Videos |
| learning | tubes |
| learning | Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT |
| learning | Two-Branch Neural Networks for Image-Text Matching Tasks |
| learning | Two-View Correspondences and Geometry Using Order-Aware Network |
| learning | Two-View Stereo Matching |
| learning | Type-2 Fuzzy Logic for Factor Graph Based-Robust Pose Estimation With Multi-Sensor Fusion |
| learning | Type-Aware Embeddings for Fashion Compatibility |
| learning | typographic style: from discrimination to synthesis |
| learning | unbiased classifiers from biased data with meta-learning |
| learning | unbiased classifiers from biased data with meta-learning |
| learning | Unbiased Representations via Mutual Information Backpropagation |
| learning | Unbiased Transferability for Domain Adaptation by Uncertainty Modeling |
| learning | Unbiased Zero-Shot Semantic Segmentation Networks Via Transductive Transfer |
| learning | Uncertain Convolutional Features for Accurate Saliency Detection |
| learning | Uncertainty for Safety-Oriented Semantic Segmentation in Autonomous Driving |
| learning | Uncoupled-Modulation CVAE for 3D Action-Conditioned Human Motion Synthesis |
| learning | Under a VEDIC Teacher |
| learning | Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis |
| learning | Unified Embedding for Apparel Recognition |
| learning | Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities |
| learning | unified sparse representations for multi-modal data |
| learning | universal multi-view age estimator using video context |
| learning | universal multiview dictionary for human action recognition |
| learning | Universal Semantic Correspondences with No Supervision and Automatic Data Curation |
| learning | Universal Trajectory Representation via a Siamese Geography-Aware Transformer |
| learning | Unrolling-Based Neural Network for Magnetic Resonance Imaging Reconstruction |
| learning | Unseen Concepts via Hierarchical Decomposition and Composition |
| learning | Unsupervised and Supervised Representations via General Covariance |
| learning | Unsupervised Face Normalization Through Frontal View Reconstruction |
| learning | Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image |
| learning | Unsupervised Metaformer for Anomaly Detection |
| learning | Unsupervised Video Object Segmentation Through Visual Attention |
| learning | upper patch attention using dual-branch training strategy for masked face recognition |
| learning | urban region representations with POIs and hierarchical graph infomax |
| learning | user preference in a personalized CBIR system |
| learning | User Representations for Open Vocabulary Image Hashtag Prediction |
| learning | User's Confidence for Active Learning |
| learning | User's Confidence for Active Learning |
| learning | user-specific parameters in a multibiometric system |
| learning | Users Inner Thoughts and Emotion Changes for Social Media Based Suicide Risk Detection |
| learning | using distance based training algorithm for pattern recognition |
| learning | Using Privileged Information for Zero-shot Action Recognition |
| learning | VAE with Categorical Labels for Generating Conditional Handwritten Characters |
| learning | Variability of Image Feature Appearance Using Statistical Methods |
| learning | Variable-Length Markov Models of Behavior |
| learning | variable-length representation of words |
| learning | Variance Kernelized Correlation Filters for Robust Visual Object Tracking |
| learning | varying dimension radial basis functions for deformable image alignment |
| learning | vector quantization for variable ordering in constraint satisfaction problems |
| learning | Vector Quantization with Adaptive Cost-Based Outlier-Rejection |
| learning | vector quantization with alternative distance criteria |
| learning | vector quantization with local subspace classifier |
| learning | Vector Quantization with Training Data Selection |
| learning | Versatile 3D Shape Generation with Improved Auto-regressive Models |
| learning | Versatile Convolution Filters for Efficient Visual Recognition |
| learning | Video Actions in Two Stream Recurrent Neural Network |
| learning | Video Features for Multi-label Classification |
| learning | Video Manifold for Segmenting Crowd Events and Abnormality Detection |
| learning | Video Moment Retrieval Without a Single Annotated Video |
| learning | Video Object Segmentation from Static Images |
| learning | Video Object Segmentation From Unlabeled Videos |
| learning | Video Object Segmentation with Visual Memory |
| learning | Video Preferences Using Visual Features and Closed Captions |
| learning | video processing by example |
| learning | Video Representations From Correspondence Proposals |
| learning | Video Representations from Large Language Models |
| learning | Video Representations of Human Motion from Synthetic Data |
| learning | Video Retrieval Models with Relevance-Aware Online Mining |
| learning | Video Saliency from Human Gaze Using Candidate Selection |
| learning | Video Stabilization Using Optical Flow |
| learning | Video-independent Eye Contact Segmentation from In-the-wild Videos |
| learning | Video-Story Composition via Recurrent Neural Network |
| learning | View Priors for Single-View 3D Reconstruction |
| learning | View Selection for 3D Scenes |
| learning | View-Based Graph Convolutional Network for Multi-View 3D Shape Analysis |
| learning | View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization |
| learning | View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras |
| learning | view-invariant features using stacked autoencoder for skeleton-based gait recognition |
| learning | View-Invariant Sparse Representations for Cross-View Action Recognition |
| learning | View-Model Joint Relevance for 3D Object Retrieval |
| learning | View-Specific Deep Networks for Person Re-Identification |
| learning | Viewpoint Invariant Perceptual Representations from Cluttered Images |
| learning | Virtual HD Model for Bi-model Emotional Speaker Recognition |
| learning | Visibility Field for Detailed 3D Human Reconstruction and Relighting |
| learning | Visibility for Robust Dense Human Body Estimation |
| learning | Vision System for 2D Object Recognition, A |
| learning | Vision-and-Language Navigation from YouTube Videos |
| learning | visual and textual representations for multimodal matching and classification |
| learning | Visual Attention to Identify People with Autism Spectrum Disorder |
| learning | Visual Behavior for Gesture Analysis |
| learning | visual categories through a sparse representation classifier based cross-category knowledge transfer |
| learning | Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences |
| learning | Visual Commonsense for Robust Scene Graph Generation |
| learning | Visual Compound Models from Parallel Image-Text Datasets |
| learning | Visual Concepts for Content Based Retrieval |
| learning | Visual Context by Comparison |
| learning | Visual Contexts for Image Annotation From Flickr Groups |
| learning | visual dictionaries and decision lists for object recognition |
| learning | Visual Dictionaries from Class-Specific Superpixel Segmentation |
| learning | Visual Emotion Representations From Web Data |
| learning | Visual Engagement for Trauma Recovery |
| learning | Visual Explanations for DCNN-based Image Classifiers Using an Attention Mechanism |
| learning | visual features for relational CBIR |
| learning | Visual Features from Large Weakly Supervised Data |
| learning | visual flows: A Lie algebraic approach |
| learning | Visual Free Space Detection for Deep-diving Robots |
| learning | Visual Ideals |
| learning | Visual Instance Retrieval from Failure: Efficient Online Local Metric Adaptation from Negative Samples |
| learning | Visual Knowledge Memory Networks for Visual Question Answering |
| learning | Visual Landmarks for Localization with Minimal Supervision |
| learning | Visual Landmarks for Pose Estimation |
| learning | Visual Models for Lipreading |
| learning | Visual Models from Shape Contours Using Multiscale Convex/Concave Structure Matching |
| learning | visual models of semantic concepts |
| learning | Visual Motion Segmentation Using Event Surfaces |
| learning | Visual N-Grams from Web Data |
| learning | visual operators from examples: a new paradigm in image processing |
| learning | Visual Quality Inspection from Multiple Humans Using Ensembles of Classifiers |
| learning | Visual Question Answering by Bootstrapping Hard Attention |
| learning | visual question answering on controlled semantic noisy labels |
| learning | Visual Recognition With Bayesian Networks |
| learning | Visual Relationship and Context-Aware Attention for Image Captioning |
| learning | Visual Representation from Modality-Shared Contrastive Language-Image Pre-training |
| learning | Visual Representations using Images with Captions |
| learning | Visual Representations via Language-Guided Sampling |
| learning | Visual Representations with Caption Annotations |
| learning | visual saliency using topographic independent component analysis |
| learning | Visual Shape Lexicon for Document Image Content Recognition |
| learning | Visual Similarity Measures for Comparing Never Seen Objects |
| learning | Visual Speech |
| learning | Visual Storylines with Skipping Recurrent Neural Networks |
| learning | Visual Styles from Audio-Visual Associations |
| learning | visual variation for object recognition |
| learning | Visual Voice Activity Detection with an Automatically Annotated Dataset |
| learning | Visual-Spatial Saliency for Multiple-Shot Person Re-Identification |
| learning | Visually Aligned Semantic Graph for Cross-Modal Manifold Matching |
| learning | Visually Consistent Label Embeddings for Zero-Shot Learning |
| learning | Visually Consistent Label Embeddings for Zero-Shot Learning |
| learning | Vocabularies over a Fine Quantization |
| learning | Warped Guidance for Blind Face Restoration |
| learning | Wasserstein Isometric Embedding for Point Clouds |
| learning | Watershed Cuts Energy Functions |
| learning | Wavefront Coding for Extended Depth of Field Imaging |
| learning | Weak Semantics by Feature Graph for Attribute-Based Person Search |
| learning | Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms |
| learning | Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions |
| learning | Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification |
| learning | weighted distances for relevance feedback in image retrieval |
| learning | weighted features for human action recognition |
| learning | weighted geometric pooling for image classification |
| learning | weighted hashing on local structured data |
| learning | Weighted Lower Linear Envelope Potentials in Binary Markov Random Fields |
| learning | Weighted Metrics to Minimize Nearest-Neighbor Classification Error |
| learning | weighted part models for object tracking |
| learning | weighted similarity measurements for unconstrained face recognition |
| learning | Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders |
| learning | weights for codebook in image classification and retrieval |
| learning | What and How of Contextual Models for Scene Labeling |
| learning | What and Where from Attributes to Improve Person Re-Identification |
| learning | What Makes a Difference from Counterfactual Examples and Gradient Supervision |
| learning | What Matters: Combining Probabilistic Models of 2D and 3D Saliency Cues |
| learning | What Not to Segment: A New Perspective on Few-Shot Segmentation |
| learning | What to Learn for Video Object Segmentation |
| learning | When and Where to Zoom With Deep Reinforcement Learning |
| learning | When and Where to Zoom With Deep Reinforcement Learning |
| learning | Where to Classify in Multi-view Semantic Segmentation |
| learning | Where to Cut from Edited Videos |
| learning | Where to Drive by Watching Others |
| learning | Where to Focus for Efficient Video Object Detection |
| learning | Where to Learn in Cross-View Self-Supervised Learning |
| learning | Where to Learn in Cross-View Self-Supervised Learning |
| learning | Where to Look: Generative NAS is Surprisingly Efficient |
| learning | Where to Position Parts in 3D |
| learning | Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring |
| learning | Whole Heart Mesh Generation From Patient Images for Computational Simulations |
| learning | with A Generative Adversarial Network From a Positive Unlabeled Dataset for Image Classification |
| learning | with a mutualistic teacher |
| learning | with Adaptive Rate for Online Detection of Unusual Appearance |
| learning | with Ambiguous Label Distribution for Apparent Age Estimation |
| learning | with an unreliable teacher |
| learning | With Asymmetric Kernels: Least Squares and Feature Interpretation |
| learning | With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation |
| learning | With Average Precision: Training Image Retrieval With a Listwise Loss |
| learning | With Batch-Wise Optimal Transport Loss for 3D Shape Recognition |
| learning | with Biased Complementary Labels |
| learning | with Box Kernels |
| learning | with Cascade for Classification of Non-Convex Manifolds |
| learning | With Confidence the Likelihood of Flight Diversion Due to Adverse Weather at Destination |
| learning | with Constrained and Unlabelled Data |
| learning | With Context Feedback Loop for Robust Medical Image Segmentation |
| learning | with dataset bias in latent subcategory models |
| learning | with Delayed Feedback |
| learning | with Distance Substitution Kernels |
| learning | with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning |
| learning | with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning |
| learning | with dynamic group sparsity |
| learning | with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning |
| learning | with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning |
| learning | with Few Examples by Transferring Feature Relevance |
| learning | with few examples for binary and multiclass classification using regularization of randomized trees |
| learning | with Free Object Segments for Long-Tailed Instance Segmentation |
| learning | with Hidden Information |
| learning | with Hidden Information Using a Max-Margin Latent Variable Model |
| learning | with Hierarchical-Deep Models |
| learning | with imperfectly labeled patterns |
| learning | with incomplete labels of multisource datasets for ECG classification |
| learning | With L1-Graph for Image Analysis |
| learning | with Label Noise for Image Retrieval by Selecting Interactions |
| learning | with Latent Label Hierarchy from Incomplete Multi-Label Data |
| learning | With Learned Loss Function: Speech Enhancement With Quality-Net to Improve Perceptual Evaluation of Speech Quality |
| learning | With Limited Labelled Data for Image and Video Understanding |
| learning | With Memory for Few-Shot Semantic Segmentation |
| learning | with Memory-based Virtual Classes for Deep Metric Learning |
| learning | with Memory-based Virtual Classes for Deep Metric Learning |
| learning | with Minimal Effort: Leveraging in Silico Labeling for Cell and Nucleus Segmentation |
| learning | with Missing or Incomplete Data |
| learning | With Multiclass AUC: Theory and Algorithms |
| learning | with Multiplicative Perturbations |
| learning | with Neighbor Consistency for Noisy Labels |
| learning | With Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision |
| learning | with Noisy Class Labels for Instance Segmentation |
| learning | with Noisy Data for Semi-Supervised 3D Object Detection |
| learning | with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection |
| learning | with Noisy Labels for Robust Point Cloud Segmentation |
| learning | with Noisy labels via Self-supervised Adversarial Noisy Masking |
| learning | with Noisy Labels via Sparse Regularization |
| learning | with Preknowledge: Clustering with Point and Graph Matching Distance Measures |
| learning | With Privacy in Consensus + Obfuscation |
| learning | with Privileged Information for Efficient Image Super-resolution |
| learning | with privileged information for multi-Label classification |
| learning | with Privileged Information via Adversarial Discriminative Modality Distillation |
| learning | With Privileged Multimodal Knowledge for Unimodal Segmentation |
| learning | with Privileged Tasks |
| learning | with probabilistic labeling |
| learning | with progressive transductive support vector machine |
| learning | with Recoverable Forgetting |
| learning | with relevant features and examples |
| learning | with rethinking: Recurrently improving convolutional neural networks through feedback |
| learning | with Side Information through Modality Hallucination |
| learning | with the Optimized Data-Dependent Kernel |
| learning | with transductive SVM for semisupervised pixel classification of remote sensing imagery |
| learning | with Twin Noisy Labels for Visible-Infrared Person Re-Identification |
| learning | With Unsure Data for Medical Image Diagnosis |
| learning | Without Forgetting |
| learning | without Human Scores for Blind Image Quality Assessment |
| learning | Without Memorizing |
| learning | without prejudice: Avoiding bias in webly-supervised action recognition |
| learning | Word and Sentence Embeddings Using a Generative Convolutional Network |
| learning | Words by Drawing Images |
| learning | Wormholes for Sparsely Labelled Clustering |
| learning | zeroth class dictionary for human action recognition |
| learning | , detection and representation of multi-agent events in videos |
| learning | , General Non-Vision Learning Issues |
| learning | , General Non-Vision Learning Issues |
| learning | , General Surveys, Overviews |
| learning | , Modeling, and Classification of Vehicle Track Patterns from Live Video |
| learning | , Neural Nets for Coding, Compression in Video |
| learning | , Neural Nets for Human Detection, People Detection, Pedestrians |
| learning | , Neural Networks for Single Image Super Resolution |
| learning | , Recognition and Navigation from a Sequence of Infrared Images |
| learning | -Aided Inertial Odometry With Nonlinear State Estimator on Manifold |
| learning | -Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling |
| learning | -based Affine Registration of Histological Images |
| learning | -Based Algal Bloom Event Recognition for Oceanographic Decision Support System Using Remote Sensing Data |
| learning | -based algorithm selection for image segmentation |
| learning | -based analysis of emotional impairments in schizophrenia |
| learning | -Based Approach for Atmospheric Compensation of VNIR Hyperspectral Data |
| learning | -based approach to boost detection rate and localisation accuracy in single molecule localisation microscopy |
| learning | -Based Approach to Estimation of Morphable Model Parameters |
| learning | -Based Approach to Parametric Rotoscoping of Multi-Shape Systems, A |
| learning | -Based Approach to Real Time Tracking and Analysis of Faces |
| learning | -Based Approach to Reduce JPEG Artifacts in Image Matting, A |
| learning | -Based Atlas Selection for Multiple-Atlas Segmentation |
| learning | -Based Auction for Matching Demand and Supply of Holographic Digital Twin Over Immersive Communications |
| learning | -based automatic defect recognition with computed tomographic imaging |
| learning | -Based Automation of Robotic Assembly for Smart Manufacturing |
| learning | -Based Bipartite Graph Matching for View-Based 3D Model Retrieval |
| learning | -Based Building Outline Detection from Multiple Aerial Images |
| learning | -Based Candidate Segmentation Scoring for Real-Time Recognition of Online Overlaid Chinese Handwriting |
| learning | -Based Cloth Material Recovery from Video |
| learning | -Based Clutter Mitigation with Subspace Projection and Sparse Representation in Holographic Subsurface Radar Imaging |
| learning | -based compression of visual objects for smart surveillance |
| learning | -Based Compressive MRI |
| learning | -based constitutive parameters estimation in an image sensing system with multiple mirrors |
| learning | -Based Cooperative Multiagent Formation Control With Collision Avoidance |
| learning | -Based Cost Functions for 3-D and 4-D Multi-Surface Multi-Object Segmentation of Knee MRI: Data From the Osteoarthritis Initiative |
| learning | -based cursive handwriting synthesis |
| learning | -based deformable registration of MR brain images |
| learning | -based deformable registration using weighted mutual information |
| learning | -based deformation estimation for fast non-rigid registration |
| learning | -based depth estimation from 2D images using GIST and saliency |
| learning | -Based Discretionary Lane-Change Decision-Making Model With Driving Style Awareness, A |
| learning | -Based Driving Events Recognition and Its Application to Digital Roads |
| learning | -based dynamic coupling of discrete and continuous trackers |
| learning | -Based Early Transform Skip Mode Decision for VVC Screen Content Coding |
| learning | -based encoding with soft assignment for age estimation under unconstrained imaging conditions |
| learning | -Based End-to-End Video Compression with Spatial-Temporal Adaptation |
| learning | -based face hallucination in DCT domain |
| learning | -based Face Synthesis for Pose-robust Recognition from Single Image |
| learning | -Based Filter Selection Scheme for Depth Image Super Resolution |
| learning | -based framework for depth ordering, A |
| learning | -Based Framework for Error Compensation in 3D Printing, A |
| learning | -Based Framework for Quantized Compressed Sensing, A |
| learning | -Based Framework for Supervised and Unsupervised Image Segmentation Evaluation, A |
| learning | -Based Hand Sign Recognition Using SHOSLIF-M |
| learning | -Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images |
| learning | -Based Hierarchical Graph for Unsupervised Matting and Foreground Estimation |
| learning | -based human detection applied to RGB-D images |
| learning | -based hybrid tagging and browsing approach for efficient manual image annotation, A |
| learning | -Based Hyperspectral Imagery Compression through Generative Neural Networks |
| learning | -based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy |
| learning | -Based Image Ground Segmentation Using Multiple Cues |
| learning | -based image interpolation via robust k-NN searching for coherent AR parameters estimation |
| learning | -Based Image Reconstruction via Parallel Proximal Algorithm |
| learning | -based Image Registration with Meta-Regularization |
| learning | -based image representation and method for face recognition |
| learning | -based image restoration for compressed images |
| learning | -Based Intent-Aware Task Offloading for Air-Ground Integrated Vehicular Edge Computing |
| learning | -Based Inverse Dynamics of Human Motion |
| learning | -based JNCD prediction for quality-wise perceptual quantization in HEVC |
| learning | -Based Joint Super-Resolution and Deblocking for a Highly Compressed Image |
| learning | -Based Just-Noticeable-Quantization- Distortion Modeling for Perceptual Video Coding |
| learning | -Based Kinematic Control Using Position and Velocity Errors for Robot Trajectory Tracking |
| learning | -Based License Plate Detection Using Global and Local Features |
| learning | -Based Light Field View Synthesis for Efficient Transmission and Storage |
| learning | -Based Lossless Point Cloud Geometry Coding Using Sparse Tensors |
| learning | -Based Low-Complexity Reverse Tone Mapping With Linear Mapping |
| learning | -based method for compressive image recovery, A |
| learning | -Based Method for Image Super-Resolution From Zoomed Observations, A |
| learning | -based method for lane detection using regionlet representation |
| learning | -Based Method for Solving Ill-Posed Nonlinear Inverse Problems: A Simulation Study of Lung EIT, A |
| learning | -Based Method to Recognize and Localize Glassware Using Laser Range Images |
| learning | -Based Microultrasound System for the Detection of Inflammation of the Gastrointestinal Tract, A |
| learning | -based mitotic cell detection in histopathological images |
| learning | -Based Multi-Frame Video Quality Enhancement |
| learning | -Based Multi-Label Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy |
| learning | -Based Multi-Robot Formation Control With Obstacle Avoidance |
| learning | -Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion |
| learning | -Based Noise Component Map Estimation for Image Denoising |
| learning | -based non-rigid image registration using prior joint intensity distributions with graph-cuts |
| learning | -Based Nonparametric Image Super-Resolution |
| learning | -Based Number Recognition on Spiral Architecture |
| learning | -based Object Detection in Cardiac MR Images |
| learning | -Based Object Identification and Segmentation Using Dual-Energy CT Images for Security |
| learning | -Based Object Segmentation Using Regional Spatial Templates and Visual Features |
| learning | -Based Object Tracking Using Boosted Features and Appearance-Adaptive Models |
| learning | -Based Point Cloud Registration for 6D Object Pose Estimation in the Real World |
| learning | -Based Positive Feedback Approach in Salient Object Detection, A |
| learning | -Based Prediction Model for Baby Accidents, A |
| learning | -Based Prediction of Visual Attention for Video Signals |
| learning | -Based Prediction-and-Verification Segmentation Scheme for Hand Sign Image Sequence, A |
| learning | -Based QoE Prediction and Optimization for Video Streaming |
| learning | -Based Quality Assessment for Image Super-Resolution |
| learning | -Based Quality Control for Cardiac MR Images |
| learning | -Based Rate Control for Learning-Based Point Cloud Geometry Coding |
| learning | -Based Rate Control for Learning-Based Point Cloud Geometry Coding |
| learning | -Based Rate Control for Video-Based Point Cloud Compression |
| learning | -Based Regularization for Cardiac Strain Analysis via Domain Adaptation |
| learning | -Based Resource Allocation for Backscatter-Aided Vehicular Networks |
| learning | -Based Restoration of Backlit Images |
| learning | -Based Robot Vision |
| learning | -Based Sampling for Natural Image Matting |
| learning | -Based Satisfied User Ratio Prediction for Symmetrically and Asymmetrically Compressed Stereoscopic Images |
| learning | -Based Scalable Image Compression With Latent-Feature Reuse and Prediction |
| learning | -Based Segmentation Framework for Tissue Images Containing Gene Expression Data |
| learning | -Based Shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point Clouds |
| learning | -Based Shadow Recognition and Removal From Monochromatic Natural Images |
| learning | -Based Signal Parameter Extraction Approach for Multi-Source Frequency-Hopping Signal Sorting, A |
| learning | -based single image dehazing via genetic programming |
| learning | -Based Spatial-Temporal Superresolution Mapping of Forest Cover With MODIS Images |
| learning | -based spatio-temporal vehicle tracking and indexing for transportation multimedia database systems |
| learning | -Based Sub-Pixel Change Detection Using Coarse Resolution Satellite Imagery |
| learning | -based super resolution using kernel partial least squares |
| learning | -based super-resolution method with a combining of both global and local constraints |
| learning | -Based Super-Resolution System Using Single Facial Image and Multi-resolution Wavelet Synthesis |
| learning | -Based Superresolution Land Cover Mapping |
| learning | -Based Symmetry Detection in Natural Images |
| learning | -Based Tone Mapping Operator for Efficient Image Matching |
| learning | -based tone mapping operator for image matching |
| learning | -Based Traffic Scheduling in Non-Stationary Multipath 5G Non-Terrestrial Networks |
| learning | -Based User Clustering and Link Allocation for Content Recommendation Based on D2D Multicast Communications |
| learning | -based variable size part extraction architecture for 6D object pose recovery in depth images, A |
| learning | -Based Vehicle Detection Using Up-Scaling Schemes and Predictive Frame Pipeline Structures |
| learning | -based ventricle detection from cardiac MR and CT images |
| learning | -Based Vertebra Detection and Iterative Normalized-Cut Segmentation for Spinal MRI |
| learning | -Based Video Motion Magnification |
| learning | -based Visual Compression |
| learning | -based word spotting system for Arabic handwritten documents |
| learning | -Based, Automatic 2D-to-3D Image and Video Conversion |
| learning | -by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation |
| learning | -by-synthesis for accurate eye detection |
| learning | -by-Synthesis for Appearance-Based 3D Gaze Estimation |
| learning | -Compression Algorithms for Neural Net Pruning |
| learning | -free handwritten word spotting method for historical handwritten documents |
| learning | -Pattern Classification: A Survey |
| learning | -to-Rank Approach for Image Color Enhancement, A |
| LEGO-MM: | learning | Structured Model by Probabilistic loGic Ontology Tree for MultiMedia |
| LEGO-Net: | learning | Regular Rearrangements of Objects in Rooms |
| LEGO: | learning | Edge with Geometry all at Once by Watching Videos |
| Leishmaniasis Parasite Segmentation and Classification Using Deep | learning | |
| Lemma: A Multi-view Dataset for | learning | Multi-agent Multi-task Activities |
| Lepard: | learning | partial point cloud matching in rigid and deformable scenes |
| Lesion Detection in Breast Ultrasound Images Using a Machine | learning | Approach and Genetic Optimization |
| Lesion Detection in Ct Images Using Deep | learning | Semantic Segmentation Technique |
| Less is More: CLIPBERT for Video-and-Language | learning | via Sparse Sampling |
| Less Is More: | learning | Highlight Detection From Video Duration |
| Less is More: Zero-Shot | learning | from Online Textual Documents with Noise Suppression |
| Let the kernel figure it out; Principled | learning | of pre-processing for kernel classifiers |
| LETHA: | learning | from High Quality Inputs for 3D Pose Estimation in Low Quality Images |
| Level set based shape prior and deep | learning | for image segmentation |
| Levels of Pattern Description in | learning | |
| Leverage Interactive Affinity for Affordance | learning | |
| Leverage Your Local and Global Representations: A New Self-Supervised | learning | Strategy |
| Leveraging a weakly adversarial paradigm for joint | learning | of disparity and confidence estimation |
| Leveraging Acoustic Images for Effective Self-supervised Audio Representation | learning | |
| Leveraging Active | learning | for Relevance Feedback Using an Information Theoretic Diversity Measure |
| Leveraging Affect Transfer | learning | for Behavior Prediction in an Intelligent Tutoring System |
| Leveraging Auxiliary Tasks with Affinity | learning | for Weakly Supervised Semantic Segmentation |
| Leveraging Deep Reinforcement | learning | for Reaching Robotic Tasks |
| Leveraging Graph and Deep | learning | Uncertainties to Detect Anomalous Maritime Trajectories |
| Leveraging Long-Term Predictions and Online | learning | in Agent-Based Multiple Person Tracking |
| Leveraging Machine | learning | and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level |
| Leveraging Machine | learning | to Extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): A Case Study in Forest-Type Mapping |
| Leveraging over prior knowledge for online | learning | of visual categories |
| Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum | learning | Framework |
| Leveraging recent advances in deep | learning | for audio-Visual emotion recognition |
| Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial | learning | and Pseudo-Labeling |
| Leveraging SE(3) Equivariance for | learning | 3D Geometric Shape Assembly |
| Leveraging seed dictionaries to improve dictionary | learning | |
| Leveraging Seen and Unseen Semantic Relationships for Generative Zero-shot | learning | |
| Leveraging Self-Paced Semi-Supervised | learning | with Prior Knowledge for 3D Object Detection on a LiDAR-Camera System |
| Leveraging Sequential Pattern Information for Active | learning | from Sequential Data |
| Leveraging stereo matching with | learning | -based confidence measures |
| Leveraging the Deep | learning | Paradigm for Continuous Affect Estimation from Facial Expressions |
| Leveraging the Invariant Side of Generative Zero-Shot | learning | |
| Leveraging Unlabeled Data for Crowd Counting by | learning | to Rank |
| LEW: | learning | by watching |
| LFI-CAM: | learning | Feature Importance for Better Visual Explanation |
| LGE-KSVD: Flexible Dictionary | learning | for Optimized Sparse Representation Classification |
| LibFewShot: A Comprehensive Library for Few-Shot | learning | |
| Libra R-CNN: Towards Balanced | learning | for Object Detection |
| License Plate Detection and Recognition System for All Types of Bangladeshi Vehicles Using Multi-step Deep | learning | Model |
| License plate segmentation and recognition system using deep | learning | and OpenVINO |
| LiDAL: Inter-frame Uncertainty Based Active | learning | for 3D LiDAR Semantic Segmentation |
| LiDAR Odometry by Deep | learning | -Based Feature Points with Two-Step Pose Estimation |
| Lidar Point Cloud Compression, Processing and | learning | for Autonomous Driving |
| Lidar-based Lane Marking Extraction Through Intensity Thresholding And Deep | learning | Approaches: A Pavement-based Assessment |
| LiDAR-Video Driving Dataset: | learning | Driving Policies Effectively |
| Lie group kernel | learning | method for medical image classification, A |
| Lie to Me: Deceit detection via online behavioral | learning | |
| Lifecycle of a Neural Network in the Wild: A Multiple Instance | learning | Study on Cancer Detection from Breast Biopsies Imaged with Novel Technique, The |
| Lifelong GAN: Continual | learning | for Conditional Image Generation |
| Lifelong Graph | learning | |
| Lifelong | learning | for Document Image Binarization: An Experimental Study |
| Lifelong | learning | for Text Steganalysis Based on Chronological Task Sequence |
| Lifelong | learning | of interpretable image representations |
| Lifelong | learning | of Task-Parameter Relationships for Knowledge Transfer |
| Lifelong | learning | via Progressive Distillation and Retrospection |
| Lifelong Machine | learning | with Deep Streaming Linear Discriminant Analysis |
| Lifelong robotic visual-tactile perception | learning | |
| Lifelong Teacher-Student Network | learning | |
| LIFT: | learning | 4D LiDAR Image Fusion Transformer for 3D Object Detection |
| Lift: Multi-Label | learning | with Label-Specific Features |
| Lifting AutoEncoders: Unsupervised | learning | of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion |
| LIGA-Stereo: | learning | LiDAR Geometry Aware Representations for Stereo-based 3D Detector |
| Light Field Compression With Graph | learning | and Dictionary-Guided Sparse Coding |
| Light Field Saliency Detection with Dual Local Graph | learning | and Reciprocative Guidance |
| Light Field Super-Resolution with Zero-Shot | learning | |
| Light-Field Imaging Reconstruction Using Deep | learning | Enabling Intelligent Autonomous Transportation System |
| Light-Weight Deformable Registration Using Adversarial | learning | With Distilling Knowledge |
| Lightweight 3D hand pose estimation by cascading CNNs with reinforcement | learning | |
| Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student | learning | |
| Lightweight and Effective Facial Landmark Detection using Adversarial | learning | with Face Geometric Map Generative Network |
| Lightweight and High-Accuracy Deep | learning | Method for Grassland Grazing Livestock Detection Using UAV Imagery, A |
| lightweight deep | learning | model for real-time face recognition, A |
| lightweight deep | learning | model for retinal optical coherence tomography image classification, A |
| Lightweight Deep | learning | Pipeline for Detection, Segmentation and Classification of Breast Cancer Anomalies |
| Lightweight Deep Neural Network for Real-Time Visual Tracking with Mutual | learning | |
| Lightweight Deep Residue | learning | for Joint Color Image Demosaicking and Denoising |
| Lightweight image matting algorithm based on deep | learning | |
| lightweight license plate detection algorithm based on deep | learning | , A |
| Lightweight Modules for Efficient Deep | learning | Based Image Restoration |
| Lightweight Pixel Difference Networks for Efficient Visual Representation | learning | |
| Lightweight Salient Object Detection via Hierarchical Visual Perception | learning | |
| Lightweight Self-Supervised Representation | learning | Algorithm for Scene Classification in Spaceborne SAR and Optical Images, A |
| Lightweight Single-image Super-resolution Network with Attentive Auxiliary Feature | learning | |
| Lightweight Spectral-Spatial Squeeze-and-Excitation Residual Bag-of-Features | learning | for Hyperspectral Classification |
| Lightweight Voice Spoofing Detection Using Improved One-Class | learning | and Knowledge Distillation |
| Lightweight-VGG: A Fast Deep | learning | Architecture Based on Dimensionality Reduction and Nonlinear Enhancement for Hyperspectral Image Classification |
| Likelihood | learning | in modified Dirichlet Process Mixture Model for video analysis |
| Likelihood-Based Adaptive | learning | in Stochastic State-Based Models |
| Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine | learning | Algorithms |
| Limits of | learning | -Based Superresolution Algorithms |
| LIMP: | learning | Latent Shape Representations with Metric Preservation Priors |
| Line graph contrastive | learning | for link prediction |
| Linear Discriminant Analysis Metric | learning | Using Siamese Neural Networks |
| Linear discriminant multiple kernel | learning | for multispectral image classification |
| Linear discrimination dictionary | learning | for shape descriptors |
| Linear Disentangled Representation | learning | for Facial Actions |
| Linear Incremental Nystrom Method for Online Kernel | learning | , A |
| Linear Maximum Margin Classifier for | learning | from Uncertain Data |
| Linear Multi-Task | learning | for Predicting Soil Properties Using Field Spectroscopy |
| Linear Spectral Mixture Analysis via Multiple-Kernel | learning | for Hyperspectral Image Classification |
| linear subspace | learning | approach via sparse coding, A |
| Linear-Covariance Loss for End-to-End | learning | of 6D Pose Estimation |
| Linearization to Nonlinear | learning | for Visual Tracking |
| Linearized kernel dictionary | learning | with group sparse priors for action recognition |
| Linecounter: | learning | Handwritten Text Line Segmentation By Counting |
| LineDL: Processing Images Line-by-Line With Deep | learning | |
| Link the Head to the Beak: Zero Shot | learning | from Noisy Text Description at Part Precision |
| Linked Source and Target Domain Subspace Feature Transfer | learning | -- Exemplified by Speech Emotion Recognition |
| Linker: | learning | Long Short-term Associations for Robust Visual Tracking |
| LinkNet-Spectral-Spatial-Temporal Transformer Based on Few-Shot | learning | for Mangrove Loss Detection with Small Dataset |
| Links between probabilistic automata and hidden Markov models: probability distributions, | learning | models and induction algorithms |
| LINKS: | learning | -Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images |
| LINPE-BL: A Local Descriptor and Broad | learning | for Identification of Abnormal Breast Thermograms |
| Lip contour extraction for language | learning | in VEC3D |
| Lip print-based identification using traditional and deep | learning | |
| Lip Reading for Low-resource Languages by | learning | and Combining General Speech Knowledge and Language-specific Knowledge |
| LiP-Flow: | learning | Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space |
| LIP: | learning | Instance Propagation for Video Object Segmentation |
| LipFormer: | learning | to Lipread Unseen Speakers Based on Visual-Landmark Transformers |
| Lipreading with Spiking Neurons: One Pass | learning | |
| LipSync3D: Data-Efficient | learning | of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization |
| LISA: | learning | Implicit Shape and Appearance of Hands |
| List-Wise Rank | learning | for Stereoscopic Image Retargeting Quality Assessment |
| LIST: | learning | Implicitly from Spatial Transformers for Single-View 3D Reconstruction |
| Listwise | learning | to rank method combining approximate NDCG ranking indicator with Conditional Generative Adversarial Networks |
| LISU: Low-light indoor scene understanding with joint | learning | of reflectance restoration |
| Lite-YOLOv5: A Lightweight Deep | learning | Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images |
| Literature Review of Deep | learning | Models for Liver Vessels Reconstruction |
| Lithium-Bearing Pegmatite Identification, Based on Spectral Analysis and Machine | learning | : A Case Study of the Dahongliutan Area, NW China |
| Live fuel moisture content estimation from MODIS: A deep | learning | approach |
| LIVEcut: | learning | -based Interactive Video Segmentation by Evaluation of Multiple Propagated Cues |
| LiveSR: Enabling Universal HD Live Video Streaming With Crowdsourced Online | learning | |
| LLFE: A Novel | learning | Local Features Extraction for UAV Navigation Based on Infrared Aerial Image and Satellite Reference Image Matching |
| LLM: | learning | Cross-Modality Person Re-Identification via Low-Rank Local Matching |
| Llrnet: A Multiscale Subband | learning | Approach for Low Light Image Restoration |
| LMPDNET: TOF-PET List-Mode Image Reconstruction Using Model-Based Deep | learning | Method |
| LMR: | learning | a Two-Class Classifier for Mismatch Removal |
| LNPL-MIL: | learning | from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image |
| LNPL-MIL: | learning | from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image |
| Local Abnormality Detection in Video Using Subspace | learning | |
| Local Aggregation for Unsupervised | learning | of Visual Embeddings |
| Local and Global Feature | learning | for Blind Quality Evaluation of Screen Content and Natural Scene Images |
| Local and Global Logit Adjustments for Long-Tailed | learning | |
| Local Anomaly Detection in Videos Using Object-centric Adversarial | learning | |
| Local Binary Pattern histogram based Texton | learning | for texture classification |
| Local binary pattern network: A deep | learning | approach for face recognition |
| Local Binary Patterns and Extreme | learning | Machine for Hyperspectral Imagery Classification |
| Local Block Multilayer Sparse Extreme | learning | Machine for Effective Feature Extraction and Classification of Hyperspectral Images |
| Local climate zone mapping as remote sensing scene classification using deep | learning | : A case study of metropolitan China |
| Local Clustering with Mean Teacher for Semi-supervised | learning | |
| Local Compressed Video Stream | learning | for Generic Event Boundary Detection |
| Local Constraint-Based Sparse Manifold Hypergraph | learning | for Dimensionality Reduction of Hyperspectral Image |
| Local cross-modality image alignment using unsupervised | learning | |
| Local descriptor-based multi-prototype network for few-shot | learning | |
| Local Differential Privacy Based Membership-Privacy-Preserving Federated | learning | for Deep-Learning-Driven Remote Sensing |
| Local Differential Privacy Based Membership-Privacy-Preserving Federated | learning | for Deep-Learning-Driven Remote Sensing |
| Local discriminative based sparse subspace | learning | for feature selection |
| Local discriminative distance metrics ensemble | learning | |
| Local discriminative | learning | for pattern recognition |
| Local Ensemble Kernel | learning | for Object Category Recognition |
| Local ensemble | learning | from imbalanced and noisy data for word sense disambiguation |
| Local Feature Descriptors with Deep Hypersphere | learning | |
| Local feature | learning | for face recognition under varying poses |
| Local inverse tone curve | learning | for high dynamic range image scalable compression |
| Local kernels based graph | learning | for multiple kernel clustering |
| Local Laplacian Detail | learning | For Face Aging Manipulation |
| Local Large-Margin Multi-Metric | learning | for Face and Kinship Verification |
| Local | learning | Approach for Clustering, A |
| Local | learning | Matters: Rethinking Data Heterogeneity in Federated Learning |
| Local | learning | Matters: Rethinking Data Heterogeneity in Federated Learning |
| Local Manifold | learning | -Based k-Nearest-Neighbor for Hyperspectral Image Classification |
| Local Manifold-Based Sparse Discriminant | learning | for Feature Extraction of Hyperspectral Image |
| Local Metric for Defocus Blur Detection Based on CNN Feature | learning | , A |
| Local Metric | learning | for Exemplar-Based Object Detection |
| Local Metric | learning | in 2D/3D Deformable Registration With Application in the Abdomen |
| Local Metric | learning | on Manifolds with Application to Query-Based Operations |
| Local or Global: Selective Knowledge Assimilation for Federated | learning | with Limited Labels |
| Local Propagation for Few-Shot | learning | |
| Local Rademacher Complexity for Multi-Label | learning | |
| Local Region Perception and Relationship | learning | Combined with Feature Fusion for Facial Action Unit Detection |
| Local Regression | learning | via Forest Classification for 2D/3D Deformable Registration |
| Local Reinforcement | learning | for Object Recognition |
| Local Relationship | learning | With Person-Specific Shape Regularization for Facial Action Unit Detection |
| Local Representation | learning | with A Convolutional Autoencoder |
| Local Self-Expression Subspace | learning | Network for Motion Capture Data |
| Local smoothing for manifold | learning | |
| Local Spectral Graph Convolution for Point Set Feature | learning | |
| Local structured feature | learning | with dynamic maximum entropy graph |
| Local to Global Feature | learning | for Salient Object Detection |
| Local to Global | learning | : Gradually Adding Classes for Training Deep Neural Networks |
| Local-Global Contrast for | learning | Voice-Face Representations |
| Local-Global Temporal Difference | learning | for Satellite Video Super-Resolution |
| Local-Guided Global: Paired Similarity Representation for Visual Reinforcement | learning | |
| Local-LDA: Open-Ended | learning | of Latent Topics for 3D Object Recognition |
| Local- | learning | -Based Feature Selection for High-Dimensional Data Analysis |
| Local-Manifold- | learning | -Based Graph Construction for Semisupervised Hyperspectral Image Classification |
| LocalBins: Improving Depth Estimation by | learning | Local Distributions |
| LocalFace: | learning | significant local features for deep face recognition |
| Locality constrained dictionary | learning | for non-linear dimensionality reduction and classification |
| Locality Constrained Dictionary | learning | for Nonlinear Dimensionality Reduction |
| Locality Constrained Low Rank Representation and Automatic Dictionary | learning | for Hyperspectral Anomaly Detection |
| Locality constraint distance metric | learning | for traffic congestion detection |
| Locality preserving discriminative dictionary | learning | |
| Locality Preserving Property Constrained Contrastive | learning | for Object Classification in SAR Imagery |
| Locality Preserving Robust Regression for Jointly Sparse Subspace | learning | |
| Locality Sensitive Deep | learning | for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images |
| Locality sensitive dictionary | learning | for image classification |
| Locality sensitive discriminative dictionary | learning | |
| Locality sensitive hashing scheme based on online- | learning | |
| Locality-Adaptive Structured Dictionary | learning | for Cross-Domain Recognition |
| Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence | learning | |
| Locality-constrained discriminative | learning | and coding |
| Locality-Promoting Representation | learning | |
| Locality-sensitive dictionary | learning | for sparse representation based classification |
| Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency | learning | |
| Localization of More Sources Than Sensors via Jointly-Sparse Bayesian | learning | |
| Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep | learning | |
| Localization-Aware Active | learning | for Object Detection |
| localization/verification scheme for finding text in images and video frames based on contrast independent features and machine | learning | methods, A |
| Localized adaptive | learning | of Mixture of Gaussians models for background extraction |
| Localized algorithms for multiple kernel | learning | |
| Localized Content Based Image Retrieval by Multiple Instance Active | learning | |
| Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance | learning | |
| Localized Deep Extreme | learning | Machines for Efficient RGB-D Object Recognition |
| Localized feature selection for Gaussian mixtures using variational | learning | |
| Localized | learning | Approach Applied to Human Activity Recognition, A |
| Localized Multifeature Metric | learning | for Image-Set-Based Face Recognition |
| Localized Multiple Kernel | learning | for Realistic Human Action Recognition in Videos |
| Localized multiple kernel | learning | using graph modularity |
| Localized Supervised Metric | learning | on Temporal Physiological Data |
| Localizing Objects While | learning | Their Appearance |
| Locally adaptive | learning | for translation-variant MRF image priors |
| Locally adaptive subspace and similarity metric | learning | for visual data clustering and retrieval |
| Locally linear embedding based example | learning | for pan-sharpening |
| Locally Linear Image Structural Embedding for Image Structure Manifold | learning | |
| Locally linear reconstruction for instance-based | learning | |
| Locally Smooth Metric | learning | with Application to Image Retrieval |
| locally weighted, correlated subdomain adaptive network employed to facilitate transfer | learning | , A |
| Located Hidden Random Fields: | learning | Discriminative Parts for Object Detection |
| Locating Charcoal Production Sites in Sweden Using LiDAR, Hydrological Algorithms, and Deep | learning | |
| Locating Urban Trees near Electric Wires using Google Street View Photos: A New Dataset and A Semi-Supervised | learning | Approach in the Wild |
| Locating X-Ray Coronary Angiogram Keyframes via Long Short-Term Spatiotemporal Attention With Image-to-Patch Contrastive | learning | |
| Location-specific vs Location-Agnostic Machine | learning | Metamodels for Predicting Pasture Nitrogen Response Rate |
| LocTex: | learning | Data-Efficient Visual Representations from Localized Textual Supervision |
| LoCUS: | learning | Multiscale 3D-consistent Features from Posed Images |
| LOCUS: | learning | Object Classes with Unsupervised Segmentation |
| LOFReg: An outlier-based regulariser for deep metric | learning | |
| Log-Euclidean Kernels for Sparse Representation and Dictionary | learning | |
| LogDet Divergence-Based Metric | learning | With Triplet Constraints and Its Applications |
| Logical Consistency and Greater Descriptive Power for Facial Hair Attribute | learning | |
| Logical Labeling of Document Images Using Layout Graph Matching with Adaptive | learning | |
| LogicSeg: Parsing Visual Semantics with Neural Logic | learning | and Reasoning |
| LoGID: An adaptive framework combining local and global incremental | learning | for dynamic selection of ensembles of HMMs |
| Logistic Boosting Regression for Label Distribution | learning | |
| Logistic Component Analysis for Fast Distance Metric | learning | |
| Logistic Random Field: A convenient graphical model for | learning | parameters for MRF-based labeling, The |
| LOL: | learning | To Optimize Loss Switching Under Label Noise |
| Long and Short Memory Balancing in Visual Co-Tracking Using Q- | learning | |
| Long and Short-Range Dependency Graph Structure | learning | Framework on Point Cloud |
| Long Short View Feature Decomposition via Contrastive Video Representation | learning | |
| Long Term Indian Ocean Dipole (IOD) Index Prediction Used Deep | learning | by convLSTM |
| Long term | learning | for image retrieval over networks |
| Long Time Series Land Cover Classification in China from 1982 to 2015 Based on Bi-LSTM Deep | learning | |
| Long-Short Temporal Contrastive | learning | of Video Transformers |
| Long-Tailed Class Incremental | learning | |
| Long-Tailed Federated | learning | Via Aggregated Meta Mapping |
| Long-Tailed Graph Representation | learning | via Dual Cost-Sensitive Graph Convolutional Network |
| Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information | learning | Method to Landsat Data |
| Long-Term Hindcasts of Wheat Yield in Fields Using Remotely Sensed Phenology, Climate Data and Machine | learning | |
| Long-Term Incremental Web-Supervised | learning | of Visual Concepts via Random Savannas |
| Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep | learning | |
| Long-Term | learning | in Content-Based Image Retrieval |
| Long-Term Similarity | learning | in Content-Based Image Retrieval |
| Long-Term Spatiotemporal Variability of Whitings in Lake Geneva from Multispectral Remote Sensing and Machine | learning | |
| Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature | learning | Network |
| Long-Term Urban Traffic Speed Prediction With Deep | learning | on Graphs |
| Longitudinal Feature Selection and Feature | learning | for Parkinson's Disease Diagnosis and Prediction |
| LongReMix: Robust | learning | with high confidence samples in a noisy label environment |
| Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational | learning | |
| Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement | learning | for Planned-Ahead Vision-and-Language Navigation |
| Look Before You Leap: | learning | Landmark Features for One-Stage Visual Grounding |
| Look Closely: | learning | Exemplar Patches for Recognizing Textiles from Product Images |
| Look for the Change: | learning | Object States and State-Modifying Actions from Untrimmed Web Videos |
| Look Here! A Parametric | learning | Based Approach to Redirect Visual Attention |
| Look into Person: Self-Supervised Structure-Sensitive | learning | and a New Benchmark for Human Parsing |
| Look&listen: Multi-Modal Correlation | learning | for Active Speaker Detection and Speech Enhancement |
| Lookahead adversarial | learning | for near real-time semantic segmentation |
| Looking Beyond Single Images for Weakly Supervised Semantic Segmentation | learning | |
| Looking Beyond the Image: Unsupervised | learning | for Object Saliency and Detection |
| Looking for the Devil in the Details: | learning | Trilinear Attention Sampling Network for Fine-Grained Image Recognition |
| Looking into Your Speech: | learning | Cross-modal Affinity for Audio-visual Speech Separation |
| Looking through the past: better knowledge retention for generative replay in continual | learning | |
| LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric | learning | |
| Loose shape model for discriminative | learning | of object categories |
| Loosening Bolts Detection of Bogie Box in Metro Vehicles Based on Deep | learning | |
| Loss Decomposition and Centroid Estimation for Positive and Unlabeled | learning | |
| Loss factors for | learning | Boosting ensembles from imbalanced data |
| Loss Functions, Triplet Loss Function, Deep | learning | , Neural Netowrks |
| Lossy Point Cloud Geometry Compression via End-to-End | learning | |
| Lost Person Search Area Prediction Based on Regression and Transfer | learning | Models |
| Low Bit-Rate Compression Image Restoration through Subspace Joint Regression | learning | |
| Low Cost Correction of OCR Errors Using | learning | in a Multi-Engine Environment |
| Low Dimensional State Representation | learning | with Reward-shaped Priors |
| Low Dose Abdominal CT Image Reconstruction: An Unsupervised | learning | Based Approach |
| Low false positive | learning | with support vector machines |
| Low Level Information Fusion: Multisensor Scene Segmentation Using | learning | Automata |
| Low Rank Promoting Prior for Unsupervised Contrastive | learning | , A |
| Low-Complexity Error Resilient HEVC Video Coding: A Deep | learning | Approach |
| Low-Complexity Multi-Type Tree Partitioning for Versatile Video Coding Based on Machine | learning | |
| Low-Cost Deep | learning | System to Characterize Asphalt Surface Deterioration, A |
| Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer | learning | |
| Low-Dose X-ray CT Reconstruction via Dictionary | learning | |
| Low-Light Image and Video Enhancement Using Deep | learning | : A Survey |
| Low-Light Image Enhancement by Deep | learning | Network for Improved Illumination Map |
| Low-Light Image Enhancement Using Image-to-Frequency Filter | learning | |
| Low-light image enhancement via deep Retinex decomposition and bilateral | learning | |
| Low-light images enhancement and denoising network based on unsupervised | learning | multi-stream feature modeling |
| Low-Rank Compression of Neural Nets: | learning | the Rank of Each Layer |
| Low-Rank Correlation | learning | for Unsupervised Domain Adaptation |
| Low-Rank Discriminant Embedding for Multiview | learning | |
| Low-rank double dictionary | learning | from corrupted data for robust image classification |
| Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot | learning | |
| Low-rank embedded orthogonal subspace | learning | for zero-shot classification |
| Low-rank | learning | for feature selection in multi-label classification |
| Low-Rank Regularized Multi-Representation | learning | for Fashion Compatibility Prediction |
| Low-Rank Sparse | learning | for Robust Visual Tracking |
| Low-rank sparse representation for single image super-resolution via self-similarity | learning | |
| Low-rank structured sparse representation and reduced dictionary | learning | -based abnormity detection |
| Low-Rank Tensor Completion: A Pseudo-Bayesian | learning | Approach |
| Low-Rank Tensor Graph | learning | for Multi-View Subspace Clustering |
| Low-rank tensor ring | learning | for multi-linear regression |
| Low-Rank Tensor Subspace | learning | for RGB-D Action Recognition |
| Low-rate Image Compression with Super-resolution | learning | |
| Low-Sampling-Frequency Plane wave Medical Ultrasound Imaging based on Adversarial | learning | |
| Low-Shot | learning | for the Semantic Segmentation of Remote Sensing Imagery |
| Low-Shot | learning | From Imaginary 3D Model |
| Low-Shot | learning | from Imaginary Data |
| Low-Shot | learning | of Plankton Categories |
| Low-Shot | learning | with Imprinted Weights |
| Low-Shot | learning | with Large-Scale Diffusion |
| Low-Tubal-Rank tensor recovery with multilayer subspace prior | learning | |
| LOW: Training deep neural networks by | learning | optimal sample weights |
| lower bound for generalized median based consensus | learning | using kernel-induced distance functions, A |
| Lower bounds in pattern recognition and | learning | |
| LP-DIF: | learning | Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes |
| LP-GAN: | learning | perturbations based on generative adversarial networks for point cloud adversarial attacks |
| LPCL: Localized prominence contrastive | learning | for self-supervised dense visual pre-training |
| LPD-Net: 3D Point Cloud | learning | for Large-Scale Place Recognition and Environment Analysis |
| LR-SVM+: | learning | Using Privileged Information with Noisy Labels |
| LRAGE: | learning | Latent Relationships With Adaptive Graph Embedding for Aerial Scene Classification |
| LRRNet: A Novel Representation | learning | Guided Fusion Network for Infrared and Visible Images |
| LS-SSDD-v1.0: A Deep | learning | Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images |
| LSDT: Latent Sparse Domain Transfer | learning | for Visual Adaptation |
| LSFSL: Leveraging Shape Information in Few-shot | learning | |
| LSH-based semantic dictionary | learning | for large scale image understanding |
| LSM: | learning | Subspace Minimization for Low-Level Vision |
| LSR based astronomical image denoising via adaptive dictionary | learning | |
| LSRML: A latent space regularization based meta- | learning | framework for MR image segmentation |
| LSSD: A Controlled Large JPEG Image Database for Deep- | learning | -based Steganalysis into the Wild |
| LssDet: A Lightweight Deep | learning | Detector for SAR Ship Detection in High-Resolution SAR Images |
| Lst-net: | learning | a Convolutional Neural Network with a Learnable Sparse Transform |
| LSTM network: a deep | learning | approach for short-term traffic forecast |
| LSTM-based deep | learning | framework for adaptive identifying eco-driving on intelligent vehicle multivariate time-series data |
| LSV-ANet: Deep | learning | on Local Structure Visualization for Feature Matching |
| LSVC: A | learning | -based Stereo Video Compression Framework |
| LT-Net: Label Transfer by | learning | Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation |
| LT-SEI: Long-Tailed Specific Emitter Identification Based on Decoupled Representation | learning | in Low-Resource Scenarios |
| LUAI Challenge 2021 on | learning | to Understand Aerial Images |
| LUCFER: A Large-Scale Context-Sensitive Image Dataset for Deep | learning | of Visual Emotions |
| Lunar Crater Detection on Digital Elevation Model: A Complete Workflow Using Deep | learning | and Its Application |
| Lung and Pancreatic Tumor Characterization in the Deep | learning | Era: Novel Supervised and Unsupervised Learning Approaches |
| Lung and Pancreatic Tumor Characterization in the Deep | learning | Era: Novel Supervised and Unsupervised Learning Approaches |
| Lung field segmentation in chest radiographs: a historical review, current status, and expectations from deep | learning | |
| Lung lobe segmentation in computed tomography images based on multi-feature fusion and ensemble | learning | framework |
| Lung Nodule Malignancy Subtype Discovery with Semantic | learning | |
| Lung segmentation in chest radiographs using distance regularized level set and deep-structured | learning | and inference |
| Lung segmentation on chest X-ray images in patients with severe abnormal findings using deep | learning | |
| Luotuo Mountain Waste Dump Cover Interpretation Combining Deep | learning | and VDVI Based on Data from an Unmanned Aerial Vehicle (UAV) |
| Lymph node detection method based on multisource transfer | learning | and convolutional neural network |
| Lymph Node Metastasis Prediction From Whole Slide Images With Transformer-Guided Multiinstance | learning | and Knowledge Transfer |
| L_p Norm Localized Multiple Kernel | learning | via Semi-Definite Programming |
| M2SGD: | learning | to Learn Important Weights |
| M3L: Multi-modality mining for metric | learning | in person re-Identification |
| M3P: | learning | Universal Representations via Multitask Multilingual Multimodal Pre-training |
| M4L: Maximum margin Multi-instance Multi-cluster | learning | for scene modeling |
| M5L: Multi-Modal Multi-Margin Metric | learning | for RGBT Tracking |
| M5Product: Self-harmonized Contrastive | learning | for E-commercial Multi-modal Pretraining |
| MA3: Model Agnostic Adversarial Augmentation for Few Shot | learning | |
| MAAL: Multimodality-Aware Autoencoder-based Affordance | learning | for 3D Articulated Objects |
| Machine and Deep | learning | Regression of Chlorophyll-a Concentrations in Lakes Using PRISMA Satellite Hyperspectral Imagery |
| Machine | learning | |
| Machine | learning | (ML)-Based Copper Mineralization Prospectivity Mapping (MPM) Using Mining Geochemistry Method and Remote Sensing Satellite Data |
| Machine | learning | Accelerated Partition Search for Video Encoding |
| Machine | learning | Algorithm for Himawari-8 Total Suspended Solids Retrievals in the Great Barrier Reef, A |
| Machine | learning | Algorithm to Detect and Analyze Meteor Echoes Observed by the Jicamarca Radar, A |
| Machine | learning | Algorithms for Automatic Lithological Mapping Using Remote Sensing Data: A Case Study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti-Atlas, Morocco |
| Machine | learning | Algorithms for Chromophoric Dissolved Organic Matter (CDOM) Estimation Based on Landsat 8 Images |
| Machine | learning | Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System |
| Machine | learning | Algorithms to Predict Forage Nutritive Value of In Situ Perennial Ryegrass Plants Using Hyperspectral Canopy Reflectance Data |
| Machine | learning | Algorithms to Predict Tree-Related Microhabitats using Airborne Laser Scanning |
| Machine | learning | and Computing for Visual Semantic Analysis |
| Machine | learning | and deep learning for clinical data and PET/SPECT imaging in Parkinson's disease: a review |
| Machine | learning | and deep learning for clinical data and PET/SPECT imaging in Parkinson's disease: a review |
| Machine | learning | and Deep Learning for the Built Heritage Analysis: Laser Scanning and UAV-Based Surveying Applications on a Complex Spatial Grid Structure |
| Machine | learning | and Deep Learning for the Built Heritage Analysis: Laser Scanning and UAV-Based Surveying Applications on a Complex Spatial Grid Structure |
| Machine | learning | and Geo-Based Multi-Criteria Decision Support Systems in Analysis of Complex Problems |
| Machine | learning | and Geometric Technique for SLAM |
| Machine | learning | and Hyperparameters Algorithms for Identifying Groundwater Aflaj Potential Mapping in Semi-Arid Ecosystems Using LiDAR, Sentinel-2, GIS Data, and Analysis |
| Machine | learning | and Image Interpretation |
| Machine | learning | and IOT for Smart Grid |
| Machine | learning | and Mass Estimation Methods for Ground-Based Aircraft Climb Prediction |
| Machine | learning | and multiscale methods in the identification of bivalve larvae |
| Machine | learning | and pattern recognition models in change detection |
| Machine | learning | and Statistical Modeling Approaches to Image Retrieval |
| Machine | learning | and the End of Atmospheric Corrections: A Comparison between High-Resolution Sea Surface Salinity in Coastal Areas from Top and Bottom of Atmosphere Sentinel-2 Imagery |
| Machine | learning | and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management |
| Machine | learning | and whale optimization algorithm based design of energy management strategy for plug-in hybrid electric vehicle |
| Machine | learning | Applied to a Dual-Polarized Sentinel-1 Image for Wind Retrieval of Tropical Cyclones |
| Machine | learning | Approach for Acquiring Descriptive Classification Rules of Shape Contours, A |
| machine | learning | approach for brain image enhancement and segmentation, A |
| Machine | learning | Approach for Classifying Ischemic Stroke Onset Time From Imaging, A |
| Machine | learning | Approach for Classifying Road Accident Hotspots, A |
| Machine | learning | Approach for Contactless Photoplethysmographic Measurement Verification |
| Machine | learning | Approach for Detecting Rescue Requests from Social Media, A |
| Machine | learning | Approach for Displaying Query Results in Search Engines, A |
| Machine | learning | Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances, A |
| Machine | learning | Approach for Estimating the Trophic State of Urban Waters Based on Remote Sensing and Environmental Factors, A |
| Machine | learning | approach for homolog chromosome classification |
| machine | learning | approach for human posture detection in domotics applications, A |
| Machine | learning | Approach for Identification of miRNA-mRNA Regulatory Modules in Ovarian Cancer |
| machine | learning | approach for identifying and delineating agricultural fields and their multi-temporal dynamics using three decades of Landsat data, A |
| machine | learning | approach for image retrieval tasks, A |
| Machine | learning | Approach for Improving Near-Real-Time Satellite-Based Rainfall Estimates by Integrating Soil Moisture, A |
| Machine | learning | Approach for Locating Boundaries of Liver Tumors in CT Images, A |
| Machine | learning | Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery, A |
| machine | learning | approach for material detection in hyperspectral images, A |
| Machine | learning | Approach for Non-blind Image Deconvolution, A |
| Machine | learning | Approach for Rainfall Estimation Integrating Heterogeneous Data Sources, A |
| Machine | learning | Approach for Remote Sensing Data Gap-Filling with Open-Source Implementation: An Example Regarding Land Surface Temperature, Surface Albedo and NDVI, A |
| Machine | learning | Approach for the Online Separation of Handwriting from Freehand Drawing, A |
| Machine | learning | Approach to Accurate Sequence-Level Rate Control Scheme for Video Coding, A |
| Machine | learning | Approach to Approximate the Age of a Digital Image, A |
| Machine | learning | Approach to Building Recognition in Aerial Photographs, A |
| Machine | learning | Approach to Chlorophyll a Time Series Analysis in the Mediterranean Sea, A |
| Machine | learning | Approach to Crater Classification from Topographic Data, A |
| Machine | learning | Approach to Delineating Neighborhoods from Geocoded Appraisal Data, A |
| Machine | learning | Approach to Derive Aerosol Properties from All-Sky Camera Imagery, A |
| Machine | learning | Approach to Design of Aperiodic, Clustered-Dot Halftone Screens via Direct Binary Search, A |
| Machine | learning | Approach to Detecting Pine Wilt Disease Using Airborne Spectral Imagery, A |
| Machine | learning | approach to dissimilarity computation: Iris matching |
| Machine | learning | Approach to Estimate Surface Chlorophyll a Concentrations in Global Oceans From Satellite Measurements, A |
| Machine | learning | Approach to Extract Rock Mass Discontinuity Orientation and Spacing, from Laser Scanner Point Clouds, A |
| Machine | learning | Approach to Horizon Line Detection Using Local Features, A |
| Machine | learning | Approach to Hypothesis Decoding in Scene Text Recognition, A |
| Machine | learning | Approach to Retrieving Aerosol Optical Depth Using Solar Radiation Measurements, A |
| Machine | learning | Approach to Tongue Motion Analysis in 2D Ultrasound Image Sequences, A |
| Machine | learning | Approach to Waterbody Segmentation in Thermal Infrared Imagery in Support of Tactical Wildfire Mapping, A |
| Machine | learning | Approaches for Detecting Tropical Cyclone Formation Using Satellite Data |
| Machine | learning | Approaches for the Neuroimaging Study of Alzheimer's Disease |
| Machine | learning | Approaches to Automatically Detect Glacier Snow Lines on Multi-Spectral Satellite Images |
| Machine | learning | Approaches to Bike-Sharing Systems: A Systematic Literature Review |
| Machine | learning | Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval |
| Machine | learning | based adaptive watermark decoding in view of anticipated attack |
| Machine | learning | Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation |
| Machine | learning | based blind color image watermarking scheme for copyright protection |
| Machine | learning | Based Channel Estimation for 5G NR-V2V Communications: Sparse Bayesian Learning and Gaussian Progress Regression |
| Machine | learning | Based Channel Estimation for 5G NR-V2V Communications: Sparse Bayesian Learning and Gaussian Progress Regression |
| Machine | learning | Based Downscaling Approach to Produce High Spatio-Temporal Resolution Land Surface Temperature of the Antarctic Dry Valleys from MODIS Data, A |
| Machine | learning | Based Efficient Qt-Mtt Partitioning for VVC Inter Coding |
| Machine | learning | Based Efficient QT-MTT Partitioning Scheme for VVC Intra Encoders |
| Machine | learning | based fast H.264/AVC to HEVC transcoding exploiting block partition similarity |
| Machine | learning | based feature selection and knowledge reasoning for CBR system under big data |
| Machine | learning | Based Framework for Human Recognition Using Gait Pattern Analysis |
| Machine | learning | Based Method for Staff Removal, A |
| Machine | learning | Based Methods for Arabic Duplicate Question Detection |
| Machine | learning | based modeling of spatial and temporal factors for video quality assessment |
| Machine | learning | based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI-RADS 4 lesions |
| Machine | learning | Based on Minimizing Robust Mean Estimates |
| Machine | learning | Based On-Line Prediction of Soil Organic Carbon after Removal of Soil Moisture Effect |
| Machine | learning | Based Reconstruction Method for Satellite Remote Sensing of Soil Moisture Images with In Situ Observations, A |
| Machine | learning | Based Road Detection from High Resolution Imagery |
| machine | learning | based scheme for double JPEG compression detection, A |
| Machine | learning | Based Symbol Probability Distribution Prediction For Entropy Coding In AV1 |
| Machine | learning | based video segmentation of moving scene by motion index using IO detector and shot segmentation |
| Machine | learning | Classification and Accuracy Assessment from High-Resolution Images of Coastal Wetlands |
| machine | learning | classification approach based glioma brain tumor detection, A |
| Machine | learning | Classification Ensemble of Multitemporal Sentinel-2 Images: The Case of a Mixed Mediterranean Ecosystem |
| Machine | learning | Classification of Buildings for Map Generalization |
| Machine | learning | Classification of Endangered Tree Species in a Tropical Submontane Forest Using WorldView-2 Multispectral Satellite Imagery and Imbalanced Dataset |
| Machine | learning | Classification of Fused Sentinel-1 and Sentinel-2 Image Data towards Mapping Fruit Plantations in Highly Heterogenous Landscapes |
| Machine | learning | Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation |
| Machine | learning | Classification of Rainfall Types Based on the Differential Attenuation of Multiple Frequency Microwave Links |
| Machine | learning | Classifier Evaluation for Different Input Combinations: A Case Study with Landsat 9 and Sentinel-2 Data |
| Machine | learning | Comparison and Parameter Setting Methods for the Detection of Dump Sites for Construction and Demolition Waste Using the Google Earth Engine |
| Machine | learning | Comparison between WorldView-2 and QuickBird-2-Simulated Imagery Regarding Object-Based Urban Land Cover Classification |
| Machine | learning | Dataset for Large-scope High Resolution Remote Sensing Image Interpretation Considering Landscape Spatial Heterogeneity, A |
| Machine | learning | Detects a Biopsy Needle in Ultrasound Images |
| Machine | learning | Downscaling of SoilMERGE in the United States Southern Great Plains |
| Machine | learning | Estimation of Fire Arrival Time from Level-2 Active Fires Satellite Data |
| Machine | learning | for Approximating Unknown Face |
| Machine | learning | for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data |
| Machine | learning | for astronomical big data processing |
| Machine | learning | for big visual analysis |
| Machine | learning | for Climate Precipitation Prediction Modeling over South America |
| Machine | learning | for Clinical Diagnosis from Functional Magnetic Resonance Imaging |
| Machine | learning | for Cloud Detection of Globally Distributed Sentinel-2 Images |
| Machine | learning | for Cultural Heritage: A Survey |
| Machine | learning | for cyanobacteria mapping on tropical urban reservoirs using PRISMA hyperspectral data |
| Machine | learning | for Defining the Probability of Sentinel-1 Based Deformation Trend Changes Occurrence |
| Machine | learning | for Detection and Risk Assessment of Lifting Action |
| Machine | learning | for Fault Detection in DC Motors and the Role of Mounting Configurations |
| Machine | learning | for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach |
| Machine | learning | for hand gesture recognition using bag-of-words |
| Machine | learning | for High-Speed Corner Detection |
| Machine | learning | for low signal-to-noise ratio detection |
| Machine | learning | for Mineral Identification and Ore Estimation from Hyperspectral Imagery in Tin-Tungsten Deposits: Simulation under Indoor Conditions |
| Machine | learning | for Multimedia Content Analysis |
| Machine | learning | for Photometric Redshift Estimation of Quasars with Different Samples |
| Machine | learning | for Rapid Magnetic Resonance Fingerprinting Tissue Property Quantification |
| Machine | learning | for Real Time Poses Classification Using Kinect Skeleton Data |
| Machine | learning | for Sea Ice Monitoring From Satellites |
| Machine | learning | for Severity Classification of Accidents Involving Powered Two Wheelers |
| Machine | learning | for Signature Verification |
| Machine | learning | for Storage Location Prediction in Industrial High Bay Warehouses |
| Machine | learning | for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance |
| Machine | learning | for the Fast and Accurate Assessment of Fitness in Coral Early Life History |
| Machine | learning | for the New York City Power Grid |
| Machine | learning | for Tree Species Classification using Sentinel-2 Spectral Information, Crown Texture, and Environmental Variables |
| Machine | learning | for Video Compression: Macroblock Mode Decision |
| Machine | learning | for Vision-based Motion Analysis |
| Machine | learning | for Vision-Based Motion Analysis: Theory and Techniques |
| Machine | learning | for Volcano-Seismic Signals: Challenges and Perspectives |
| Machine | learning | Framework for Adaptive Combination of Signal Denoising Methods, A |
| Machine | learning | Framework for Estimating Leaf Biochemical Parameters From Its Spectral Reflectance and Transmission Measurements, A |
| machine | learning | framework for full-reference 3D shape quality assessment, A |
| Machine | learning | Framework for the Classification of Natura 2000 Habitat Types at Large Spatial Scales Using MODIS Surface Reflectance Data, A |
| Machine | learning | Framework for the Estimation of Average Speed in Rural Road Networks with OpenStreetMap Data |
| Machine | learning | framework incorporating expert knowledge in tissue image annotation |
| Machine | learning | Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements, A |
| Machine | learning | Framework Using SOMs: Applications in the Intestinal Motility Assessment, A |
| Machine | learning | Fusion Multi-Source Data Features for Classification Prediction of Lunar Surface Geological Units |
| Machine | learning | Generalisation across Different 3D Architectural Heritage |
| Machine | learning | in a Post Moore's Law World: Quantum vs. Neuromorphic Substrates |
| Machine | learning | in Big Lidar Data: a Review |
| Machine | learning | in Cardiac Health Monitoring and Decision Support |
| Machine | learning | in Computer-Aided Diagnosis of the Thorax and Colon in CT: A Survey |
| Machine | learning | in Evaluating Multispectral Active Canopy Sensor for Prediction of Corn Leaf Nitrogen Concentration and Yield |
| Machine | learning | in Extreme Value Analysis, an Approach to Detecting Harmful Algal Blooms with Long-Term Multisource Satellite Data |
| Machine | learning | in medical imaging |
| Machine | learning | in medical imaging |
| Machine | learning | in Medical Imaging |
| Machine | learning | in Medical Imaging |
| Machine | learning | in motion analysis: New advances |
| Machine | learning | in Multi-frame Image Super-resolution |
| Machine | learning | in PET: From Photon Detection to Quantitative Image Reconstruction |
| Machine | learning | in precision medicine to preserve privacy via encryption |
| Machine | learning | in the Analysis of Multispectral Reads in Maize Canopies Responding to Increased Temperatures and Water Deficit |
| Machine | learning | in the Classification of Soybean Genotypes for Primary Macronutrients' Content Using UAV-Multispectral Sensor |
| Machine | learning | in the Hyperspectral Classification of Glycaspis brimblecombei (Hemiptera Psyllidae) Attack Severity in Eucalyptus |
| Machine | learning | Inspired Approach for Detection, Recognition and Tracking of Moving Objects from Real-Time Video, A |
| Machine | learning | meets distinctness in variety testing |
| Machine | learning | Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans, A |
| Machine | learning | Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data, A |
| Machine | learning | Method for High-Frequency Data Forecasting, A |
| Machine | learning | Method for Predicting Vegetation Indices in China, A |
| Machine | learning | Methods Applied to the Prediction of Pseudo-nitzschia spp. Blooms in the Galician Rias Baixas (NW Spain) |
| Machine | learning | methods for automatically processing historical documents: from paper acquisition to XML transformation |
| Machine | learning | Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images |
| Machine | learning | Methods for Classification of the Green Infrastructure in City Areas |
| Machine | learning | Methods for Data Association in Multi-Object Tracking |
| Machine | learning | methods for research highlight prediction in biomedical effects of nanomaterial application |
| Machine | learning | Methods to Approximate Rainfall and Wind From Acoustic Underwater Measurements (February 2020) |
| Machine | learning | Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia, A |
| Machine | learning | Model-Based Retrieval of Temperature and Relative Humidity Profiles Measured by Microwave Radiometer |
| Machine | learning | Models for Approximating Downward Short-Wave Radiation Flux over the Ocean from All-Sky Optical Imagery Based on DASIO Dataset |
| Machine | learning | nuclear detonation features |
| Machine | learning | of Computer Vision Algorithms |
| Machine | learning | of event segmentation for news on demand |
| Machine | learning | of Generalized Document Templates for Data Extraction |
| Machine | learning | of Spatial Data |
| Machine | learning | of Usable Area of Gable-Roof Residential Buildings Based on Topographic Data |
| Machine | learning | on High Dimensional Shape Data from Subcortical Brain Surfaces: A Comparison of Feature Selection and Classification Methods |
| Machine | learning | on Historic Air Photographs for Mapping Risk of Unexploded Bombs |
| Machine | learning | Optimised Hyperspectral Remote Sensing Retrieves Cotton Nitrogen Status |
| Machine | learning | Paradigm for Studying Pictorial Realism: How Accurate are Constable's Clouds?, A |
| Machine | learning | Paradigms for Pattern Recognition and Image Understanding |
| Machine | learning | Regression Analysis for Estimation of Crop Emergence Using Multispectral UAV Imagery |
| Machine | learning | Research: Four Current Directions |
| Machine | learning | Reveals a Significant Shift in Water Regime Types Due to Projected Climate Change |
| Machine | learning | Snowfall Retrieval Algorithm for ATMS, A |
| Machine | learning | Solution for Video Delivery to Mitigate Co-Tier Interference in 5G HetNets, A |
| Machine | learning | Strategy Based on Kittler's Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments, A |
| machine | learning | system for human-in-the-loop video surveillance, A |
| Machine | learning | System for Precipitation Estimation Using Satellite and Ground Radar Network Observations, A |
| Machine | learning | technique for object detection based on SURF feature |
| Machine | learning | techniques applied to prepaid subscribers: Case study on the telecom industry of Morocco |
| Machine | learning | Techniques for Corneal Diseases Diagnosis: A Survey |
| Machine | learning | Techniques for Fine Dead Fuel Load Estimation Using Multi-Source Remote Sensing Data |
| Machine | learning | Techniques for Identifying Fetal Risk During Pregnancy |
| Machine | learning | Techniques for Identity Document Verification in Uncontrolled Environments: A Case Study |
| Machine | learning | Techniques for Knowledge Extraction From Satellite Images: Application to Specific Area Types |
| Machine | learning | Techniques for Modelling Short Term Land-Use Change |
| Machine | learning | techniques for ontology-based leaf classification |
| Machine | learning | Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data |
| Machine | learning | techniques for regional scale estimation of high-resolution cloud-free daily sea surface temperatures from MODIS data |
| Machine | learning | Techniques for Tree Species Classification Using Co-Registered LiDAR and Hyperspectral Data |
| Machine | learning | Techniques for Vertical LiDAR-Based Detection, Characterization, and Classification of Aerosols and Clouds: A Comprehensive Survey |
| Machine | learning | Techniques to Predict Soybean Plant Density Using UAV and Satellite-Based Remote Sensing |
| Machine | learning | to design full-reference image quality assessment algorithm |
| Machine | learning | to Estimate Surface Roughness from Satellite Images |
| Machine | learning | to Identify Three Types of Oceanic Fronts Associated with the Changjiang Diluted Water in the East China Sea between 1997 and 2021 |
| Machine | learning | to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study |
| Machine | learning | Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency |
| Machine | learning | with Data Science-Enabled Lung Cancer Diagnosis and Classification Using Computed Tomography Images |
| Machine | learning | with Seriated Graphs |
| Machine | learning | with Synthetic Data: A New Way to Learn and Classify the Pictorial Augmented Reality Markers in Real-Time |
| Machine | learning | , Machine Vision, and the Brain |
| Machine | learning | -Aided Sea Ice Monitoring Using Feature Sequences Extracted from Spaceborne GNSS-Reflectometry Data |
| Machine | learning | -Assisted Analysis of Polarimetric Scattering From Cylindrical Components of Vegetation |
| Machine | learning | -assisted region merging for remote sensing image segmentation |
| Machine | learning | -Based and 3D Kinematic Models for Rockfall Hazard Assessment Using LiDAR Data and GIS |
| Machine | learning | -Based Approach for Depression Detection in Twitter Using Content and Activity Features |
| Machine | learning | -Based Approach for Spatial Estimation Using the Spatial Features of Coordinate Information, A |
| Machine | learning | -Based Approach for Surface Soil Moisture Estimations with Google Earth Engine, A |
| Machine | learning | -Based Approach Using Open Data to Estimate PM2.5 over Europe |
| Machine | learning | -Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images |
| Machine | learning | -Based Bias Correction of Precipitation Measurements at High Altitude |
| Machine | learning | -based Classification of Powdery Mildew Severity on Melon Leaves |
| Machine | learning | -Based Classification System for Urban Built-Up Areas Using Multiple Classifiers and Data Sources, A |
| Machine | learning | -Based Concrete Crack Depth Prediction Using Thermal Images Taken under Daylight Conditions |
| Machine | learning | -Based CYGNSS Soil Moisture Estimates over ISMN sites in CONUS |
| Machine | learning | -Based Estimation of Daily Cropland Evapotranspiration in Diverse Climate Zones |
| Machine | learning | -Based Estimation of Hourly GNSS Precipitable Water Vapour |
| Machine | learning | -Based Estimation of Tropical Cyclone Intensity from Advanced Technology Microwave Sounder Using a U-Net Algorithm |
| Machine | learning | -Based Fast Angular Prediction Mode Decision Technique in Video Coding |
| Machine | learning | -Based Fast Intra Mode Decision for HEVC Screen Content Coding via Decision Trees |
| Machine | learning | -Based Fast-Forward Solver for Ground Penetrating Radar With Application to Full-Waveform Inversion, A |
| Machine | learning | -based H.264/AVC to HEVC transcoding via motion information reuse and coding mode similarity analysis |
| Machine | learning | -Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations |
| machine | learning | -based method for automatic diagnosis of ankle fracture using X-ray images, A |
| Machine | learning | -Based Method for Modeling TEC Regional Temporal-Spatial Map, A |
| Machine | learning | -Based Modeling of Air Temperature in the Complex Environment of Yerevan City, Armenia |
| Machine | learning | -based multi-channel evaluation pooling strategy for image quality assessment |
| Machine | learning | -Based Multiple Cloud Vertical Structure Parameter Prediction Algorithm Only Using OCO-2 Oxygen A-Band Measurements, A |
| Machine | learning | -Based Noninvasive Quantification of Single-Imaging Session Dual-Tracer 18F-FDG and 68Ga-DOTATATE Dynamic PET-CT in Oncology |
| Machine | learning | -based offline signature verification systems: A systematic review |
| Machine | learning | -Based Processing Proof-of-Concept Pipeline for Semi-Automatic Sentinel-2 Imagery Download, Cloudiness Filtering, Classifications, and Updates of Open Land Use/Land Cover Datasets |
| Machine | learning | -Based Rockfalls Detection with 3D Point Clouds, Example in the Montserrat Massif (Spain) |
| Machine | learning | -Based Seafloor Seismic Prestack Inversion |
| Machine | learning | -Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia |
| Machine | learning | -Based Supervised Classification of Point Clouds Using Multiscale Geometric Features |
| Machine | learning | -based tri-stage classification of Alzheimer's progressive neurodegenerative disease using PCA and mRMR administered textural, orientational, and spatial features |
| Machine | learning | -Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data |
| Machine | learning | -Based Workload Orchestrator for Vehicular Edge Computing |
| Machine | learning | -Driven Approach to Computational Physiological Modeling of Skin Cancer, A |
| Machine | learning | -Enabled High-Resolution Dynamic Deuterium MR Spectroscopic Imaging |
| machine vision system to estimate cotton fiber maturity from longitudinal view using a transfer | learning | approach, A |
| Machine- | learning | Applications for the Retrieval of Forest Biomass from Airborne P-Band SAR Data |
| machine- | learning | approach for analyzing document layout structures with two reading orders, A |
| machine- | learning | approach for classifying defects on tree trunks using terrestrial LiDAR, A |
| Machine- | learning | Approach to Intertidal Mudflat Mapping Combining Multispectral Reflectance and Geomorphology from UAV-Based Monitoring, A |
| Machine- | learning | Approach to Keypoint Detection and Landmarking on 3D Meshes, A |
| Machine- | learning | Based Secondary Transform for Improved Image Compression in JPEG2000 |
| Machine- | learning | Classification of SAR Remotely-Sensed Sea-Surface Petroleum Signatures: Part 1: Training and Testing Cross Validation |
| Machine- | learning | for Mapping and Monitoring Shallow Coral Reef Habitats |
| Machine- | learning | Functional Zonation Approach for Characterizing Terrestrial-Aquatic Interfaces: Application to Lake Erie |
| Machine- | learning | methodology for energy efficient routing |
| Machine- | learning | Model Based on the Fusion of Spectral and Textural Features from UAV Multi-Sensors to Analyse the Total Nitrogen Content in Winter Wheat, A |
| Machine- | learning | regression in evolutionary algorithms and image registration |
| Machine- | learning | -Assisted Characterization of Regional Heat Islands with a Spatial Extent Larger than the Urban Size |
| Machine- | learning | -Based Change Detection of Newly Constructed Areas from GF-2 Imagery in Nanjing, China |
| Machine- | learning | -Based Forest Classification and Regression (FCR) for Spatial Prediction of Liver Fluke Opisthorchis viverrini (OV) Infection in Small Sub-Watersheds |
| Machine- | learning | -Based Framework for Coding Digital Receiving Array with Few RF Channels |
| Machine- | learning | -Based Framework for Retrieving Water Quality Parameters in Urban Rivers Using UAV Hyperspectral Images, A |
| Machine- | learning | -Based Image Categorization |
| Machine- | learning | -based Quality-level-estimation System for Inspecting Steel Microstructures |
| Machine- | learning | -Based Scenario Identification Using Channel Characteristics in Intelligent Vehicular Communications |
| Machine- | learning | -Based Study on All-Day Cloud Classification Using Himawari-8 Infrared Data, A |
| Machine- | learning | -Enhanced Procedural Modeling for 4D Historical Cities Reconstruction |
| Machines | learning | for Mixed Reality |
| MaCLR: Motion-Aware Contrastive | learning | of Representations for Videos |
| Macro unit-based convolutional neural network for very light-weight deep | learning | |
| Mad Max: Affine Spline Insights Into Deep | learning | |
| MADNet 2.0: Pixel-Scale Topography Retrieval from Single-View Orbital Imagery of Mars Using Deep | learning | |
| MADPL-net: Multi-layer attention dictionary pair | learning | network for image classification |
| Madura: A Language for | learning | Vision Programs from Examples |
| MAGE: MAsked Generative Encoder to Unify Representation | learning | and Image Synthesis |
| MAGI: Multi-Annotated Explanation-Guided | learning | |
| MagicPony: | learning | Articulated 3D Animals in the Wild |
| Magnetopause Detection under Low Solar Wind Density Based on Deep | learning | |
| Magnetotelluric Deep | learning | Forward Modeling and Its Application in Inversion |
| Magnification Prior: A Self-Supervised Method for | learning | Representations on Breast Cancer Histopathological Images |
| MagnifierNet: | learning | Efficient Small-scale Pedestrian Detector towards Multiple Dense Regions |
| Maintaining Discrimination and Fairness in Class Incremental | learning | |
| Maize Yield Prediction with Machine | learning | , Spectral Variables and Irrigation Management |
| Majorities help minorities: Hierarchical structure guided transfer | learning | for few-shot fault recognition |
| Majority voting-based hybrid feature selection in machine | learning | paradigm for epilepsy detection using EEG |
| Majorization-Minimization Approach to Lq Norm Multiple Kernel | learning | , A |
| Make Landscape Flatter in Differentially Private Federated | learning | |
| Make3D: | learning | 3D Scene Structure from a Single Still Image |
| Making 360° Video Watchable in 2D: | learning | Videography for Click Free Viewing |
| Making a Case for | learning | Motion Representations with Phase |
| Making Convolutional Networks Recurrent for Visual Sequence | learning | |
| Making Low-Resolution Satellite Images Reborn: A Deep | learning | Approach for Super-Resolution Building Extraction |
| Making Models Shallow Again: Jointly | learning | to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference |
| Making of a Joint E- | learning | Platform for Remote Sensing Education: Experiences and Lessons Learned, The |
| Mal2d: 2d Based Deep | learning | Model for Malware Detection Using Black and White Binary Image |
| Malleable 2.5d Convolution: | learning | Receptive Fields Along the Depth-axis for RGB-D Scene Parsing |
| MALN: Multimodal Adversarial | learning | Network for Conversational Emotion Recognition |
| Malware classifier for dynamic deep | learning | algorithm |
| Malware Detection by Exploiting Deep | learning | over Binary Programs |
| Malware Detection on Mobile Devices Using Distributed Machine | learning | |
| MAM: Transfer | learning | for Fully Automatic Video Annotation and Specialized Detector Creation |
| MAML-SR: Self-adaptive super-resolution networks via multi-scale optimized attention-aware meta- | learning | |
| Mammogram Mass Classification with Temporal Features and Multiple Kernel | learning | |
| Mammogram Retrieval by Similarity | learning | from Experts |
| Man-Recon: Manifold | learning | for Reconstruction With Deep Autoencoder for Smart Seismic Interpretation |
| Mandarin Language | learning | System for Nasal Voice User |
| Manhole Cover Localization in Aerial Images with A Deep | learning | Approach |
| Manifold Adversarial | learning | for Cross-Domain 3D Shape Representation |
| Manifold Alignment and Transfer | learning | for Classification of Alzheimer's Disease |
| Manifold Kernel Metric | learning | for Larger-Scale Image Annotation |
| Manifold | learning | and the Quantum Jensen-Shannon Divergence Kernel |
| Manifold | learning | based Video Prediction approach for Deep Motion Transfer, A |
| Manifold | learning | Benefits GANs |
| Manifold | learning | by preserving distance orders |
| Manifold | learning | Co-Location Decision Tree for Remotely Sensed Imagery Classification |
| Manifold | learning | for 4D CT reconstruction of the lung |
| Manifold | learning | for Density Segmentation in High Risk Mammograms |
| Manifold | learning | for Gender Classification from Face Sequences |
| Manifold | learning | for Multi-modal Image Registration |
| Manifold | learning | for Object Tracking with Multiple Motion Dynamics |
| Manifold | learning | for Object Tracking With Multiple Nonlinear Models |
| Manifold | learning | for simultaneous pose and facial expression recognition |
| Manifold | learning | for Tof-based Human Body Tracking and Activity Recognition |
| Manifold | learning | for user profiling and identity verification using motion sensors |
| Manifold | learning | in Quotient Spaces |
| Manifold | learning | of Overcomplete Feature Spaces in a Multimodal Biometric Recognition System of Iris and Palmprint |
| Manifold | learning | Techniques in Image Analysis of High-dimensional Diffusion Tensor Magnetic Resonance Images |
| Manifold | learning | using robust Graph Laplacian for interactive image search |
| Manifold | learning | via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling |
| Manifold | learning | with structured subspace for multi-label feature selection |
| Manifold | learning | , From Euclid to Riemann |
| Manifold | learning | -based Frequency Estimation for extracting ENF signal from digital video |
| Manifold | learning | -based phoneme recognition |
| Manifold Matching via Deep Metric | learning | for Generative Modeling |
| Manifold Regularized Experimental Design for Active | learning | |
| Manifold Regularized Multitask | learning | for Semi-Supervised Multilabel Image Classification |
| Manifold Regularized Transfer Distance Metric | learning | |
| Manifold Transfer | learning | via Discriminant Regression Analysis |
| Manifold-Contrastive Broad | learning | System for Wheelset Bearing Fault Diagnosis |
| Manifold- | learning | -Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning |
| Manifold- | learning | -Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning |
| Manipulating Transfer | learning | for Property Inference |
| MannequinChallenge: | learning | the Depths of Moving People by Watching Frozen People |
| Many Task | learning | With Task Routing |
| Many-shot from Low-shot: | learning | to Annotate Using Mixed Supervision for Object Detection |
| Many-Task Federated | learning | : A New Problem Setting and A Simple Baseline |
| MAP | learning | and Clustering in Autonomous Systems |
| Map-Based Temporally Consistent Geolocalization through | learning | Motion Trajectories |
| MAPACo-Training: A Novel Online | learning | Algorithm of Behavior Models |
| MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive | learning | |
| MaPLe: Multi-modal Prompt | learning | |
| Mapping 30 m Fractional Forest Cover over China's Three-North Region from Landsat-8 Data Using Ensemble Machine | learning | Methods |
| Mapping Agricultural Intensification in the Brazilian Savanna: A Machine | learning | Approach Using Harmonized Data from Landsat Sentinel-2 |
| Mapping Allochemical Limestone Formations in Hazara, Pakistan Using Google Cloud Architecture: Application of Machine- | learning | Algorithms on Multispectral Data |
| Mapping and Monitoring Fractional Woody Vegetation Cover in the Arid Savannas of Namibia Using LiDAR Training Data, Machine | learning | , and ALOS PALSAR Data |
| Mapping and Monitoring of Land Cover/Land Use (LCLU) Changes in the Crozon Peninsula (Brittany, France) from 2007 to 2018 by Machine | learning | Algorithms (Support Vector Machine, Random Forest, and Convolutional Neural Networ |
| Mapping and Monitoring of the Invasive Species Dichrostachys cinerea (Marabu) in Central Cuba Using Landsat Imagery and Machine | learning | (1994-2022) |
| Mapping and Predicting Land Cover Changes of Small and Medium Size Cities in Alabama Using Machine | learning | Techniques |
| Mapping and Quantifying the Human-Environment Interactions in Middle Egypt Using Machine | learning | and Satellite Data Fusion Techniques |
| Mapping annual center-pivot irrigated cropland in Brazil during the 1985-2021 period with cloud platforms and deep | learning | |
| Mapping Asbestos-Cement Corrugated Roofing Tiles with Imagery Cube via Machine | learning | in Taiwan |
| Mapping Barley Lodging with UAS Multispectral Imagery and Machine | learning | |
| Mapping Burn Extent of Large Wildland Fires from Satellite Imagery Using Machine | learning | Trained from Localized Hyperspatial Imagery |
| Mapping Burned Areas in Tropical Forests Using a Novel Machine | learning | Framework |
| Mapping Burned Areas with Multitemporal-Multispectral Data and Probabilistic Unsupervised | learning | |
| Mapping Canopy Heights in Dense Tropical Forests Using Low-Cost UAV-Derived Photogrammetric Point Clouds and Machine | learning | Approaches |
| Mapping Cones on Mars in High-Resolution Planetary Images with Deep | learning | -Based Instance Segmentation |
| Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep | learning | |
| Mapping Crop Types Using Sentinel-2 Data Machine | learning | and Monitoring Crop Phenology with Sentinel-1 Backscatter Time Series in Pays de Brest, Brittany, France |
| Mapping Cropland Extent in Pakistan Using Machine | learning | Algorithms on Google Earth Engine Cloud Computing Framework |
| Mapping Deforestation in Cerrado Based on Hybrid Deep | learning | Architecture and Medium Spatial Resolution Satellite Time Series |
| Mapping Degeneration Meets Label Evolution: | learning | Infrared Small Target Detection with Single Point Supervision |
| Mapping Dissolved Organic Carbon and Organic Iron by Comparing Deep | learning | and Linear Regression Techniques Using Sentinel-2 and WorldView-2 Imagery (Byers Peninsula, Maritime Antarctica) |
| Mapping Dwellings in IDP/Refugee Settlements Using Deep | learning | |
| Mapping Floristic Patterns of Trees in Peruvian Amazonia Using Remote Sensing and Machine | learning | |
| Mapping Forest Burn Extent from Hyperspatial Imagery Using Machine | learning | |
| Mapping Grasslands in Mixed Grassland Ecoregion of Saskatchewan Using Big Remote Sensing Data and Machine | learning | |
| Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep | learning | |
| Mapping in a Cycle: Sinkhorn Regularized Unsupervised | learning | for Point Cloud Shapes |
| Mapping intertidal topographic changes in a highly turbid estuary using dense Sentinel-2 time series with deep | learning | |
| Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using UAV Remote Sensing and Machine | learning | Classifiers |
| Mapping Irregular Local Climate Zones from Sentinel-2 Images Using Deep | learning | with Sequential Virtual Scenes |
| Mapping Landslides on EO Data: Performance of Deep | learning | Models vs. Traditional Machine Learning Models |
| Mapping Landslides on EO Data: Performance of Deep | learning | Models vs. Traditional Machine Learning Models |
| Mapping Large-Scale Mangroves along the Maritime Silk Road from 1990 to 2015 Using a Novel Deep | learning | Model and Landsat Data |
| Mapping Large-Scale Plateau Forest in Sanjiangyuan Using High-Resolution Satellite Imagery and Few-Shot | learning | |
| Mapping Maize Cropland and Land Cover in Semi-Arid Region in Northern Nigeria Using Machine | learning | and Google Earth Engine |
| Mapping Malaria Vector Habitats in West Africa: Drone Imagery and Deep | learning | Analysis for Targeted Vector Surveillance |
| Mapping Multi-Depth Soil Salinity Using Remote Sensing-Enabled Machine | learning | in the Yellow River Delta, China |
| Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual | learning | |
| Mapping Multi-Temporal Population Distribution in China from 1985 to 2010 Using Landsat Images via Deep | learning | |
| Mapping of Burned Area Using Presence and Background | learning | Framework On The Google Earth Engine Platform |
| Mapping of the Canopy Openings in Mixed Beech-Fir Forest at Sentinel-2 Subpixel Level Using UAV and Machine | learning | Approach |
| Mapping Opuntia stricta in the Arid and Semi-Arid Environment of Kenya Using Sentinel-2 Imagery and Ensemble Machine | learning | Classifiers |
| Mapping Outburst Floods Using a Collaborative | learning | Method Based on Temporally Dense Optical and SAR Data: A Case Study with the Baige Landslide Dam on the Jinsha River, Tibet |
| Mapping Paddy Rice Fields by Combining Multi-Temporal Vegetation Index and Synthetic Aperture Radar Remote Sensing Data Using Google Earth Engine Machine | learning | Platform |
| Mapping Paddy Rice in Complex Landscapes with Landsat Time Series Data and Superpixel-Based Deep | learning | Method |
| Mapping Plant Nitrogen Concentration and Aboveground Biomass of Potato Crops from Sentinel-2 Data Using Ensemble | learning | Models |
| Mapping Plastic Greenhouses with Two-Temporal Sentinel-2 Images and 1D-CNN Deep | learning | |
| Mapping Potato Plant Density Variation Using Aerial Imagery and Deep | learning | Techniques for Precision Agriculture |
| Mapping Potential Plant Species Richness over Large Areas with Deep | learning | , MODIS, and Species Distribution Models |
| Mapping Recent Lava Flows at Mount Etna Using Multispectral Sentinel-2 Images and Machine | learning | Techniques |
| Mapping Regional Soil Organic Matter Based on Sentinel-2A and MODIS Imagery Using Machine | learning | Algorithms and Google Earth Engine |
| Mapping Rice Paddy Based on Machine | learning | with Sentinel-2 Multi-Temporal Data: Model Comparison and Transferability |
| Mapping Rice Paddy Distribution Using Remote Sensing by Coupling Deep | learning | with Phenological Characteristics |
| Mapping Seasonal Agricultural Land Use Types Using Deep | learning | on Sentinel-2 Image Time Series |
| Mapping Selective Logging in Mixed Deciduous Forest: A Comparison of Machine | learning | Algorithms |
| Mapping Small Watercourses from DEMs with Deep | learning | : Exploring the Causes of False Predictions |
| Mapping the Groundwater Level and Soil Moisture of a Montane Peat Bog Using UAV Monitoring and Machine | learning | |
| Mapping the Levels of Soil Salination and Alkalization by Integrating Machining | learning | Methods and Soil-Forming Factors |
| Mapping the Topographic Features of Mining-Related Valley Fills Using Mask R-CNN Deep | learning | and Digital Elevation Data |
| Mapping trees along urban street networks with deep | learning | and street-level imagery |
| Mapping Tropical Forest Cover and Deforestation with Planet NICFI Satellite Images and Deep | learning | in Mato Grosso State (Brazil) from 2015 to 2021 |
| Mapping Urban Areas with Integration of DMSP/OLS Nighttime Light and MODIS Data Using Machine | learning | Techniques |
| Mapping Urban Extent at Large Spatial Scales Using Machine | learning | Methods with VIIRS Nighttime Light and MODIS Daytime NDVI Data |
| Mapping Urban Green Spaces at the Metropolitan Level Using Very High Resolution Satellite Imagery and Deep | learning | Techniques for Semantic Segmentation |
| Mapping Wetland Types in Semiarid Floodplains: A Statistical | learning | Approach |
| Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine | learning | : A Case Study in Central Italy |
| MAPS: A Noise-Robust Progressive | learning | Approach for Source-Free Domain Adaptive Keypoint Detection |
| Margin Contrastive | learning | with Learnable-Vector for Continual Learning |
| Margin Contrastive | learning | with Learnable-Vector for Continual Learning |
| Margin Emphasized Metric | learning | and its application to Gabor feature based face recognition |
| Margin-constrained multiple kernel | learning | based multi-modal fusion for affect recognition |
| Margin-mix: Semi-supervised | learning | for Face Expression Recognition |
| Marginal Space Deep | learning | : Efficient Architecture for Volumetric Image Parsing |
| Marginalized Denoising Dictionary | learning | With Locality Constraint |
| Marginalized Latent Semantic Encoder for Zero-Shot | learning | |
| MarginMatch: Improving Semi-Supervised | learning | with Pseudo-Margins |
| Maritime Environment Perception Based on Deep | learning | |
| Markov Random Field modeling, inference & | learning | in computer vision & image understanding: A survey |
| MARL: Multi-scale Archetype Representation | learning | for Urban Building Energy Modeling |
| MARL: Multimodal Attentional Representation | learning | for Disease Prediction |
| MARLIN: Masked Autoencoder for facial video Representation | learning | |
| MARS-GAN: Multilevel-Feature- | learning | Attention-Aware Based Generative Adversarial Network for Removing Surgical Smoke |
| MARS: | learning | Modality-Agnostic Representation for Scalable Cross-Media Retrieval |
| MARVEL: Raster Gray-Level Manga Vectorization via Primitive-Wise Deep Reinforcement | learning | |
| MAS: Towards Resource-Efficient Federated Multiple-Task | learning | |
| Mask-ShadowGAN: | learning | to Remove Shadows From Unpaired Data |
| Mask-ToF: | learning | Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging |
| Mask2CAD: 3d Shape Prediction by | learning | to Segment and Retrieve |
| Mask3D: Pretraining 2D Vision Transformers by | learning | Masked 3D Priors |
| MaskCon: Masked Contrastive | learning | for Coarse-Labelled Dataset |
| MaskConnect: Connectivity | learning | by Gradient Descent |
| Masked and Permuted Implicit Context | learning | for Scene Text Recognition |
| Masked Autoencoders for Point Cloud Self-Supervised | learning | |
| Masked Contrastive Representation | learning | for Reinforcement Learning |
| Masked Contrastive Representation | learning | for Reinforcement Learning |
| Masked Discrimination for Self-supervised | learning | on Point Clouds |
| Masked Label | learning | for Optical Flow Regression |
| Masked Linear Regression for | learning | Local Receptive Fields for Facial Expression Synthesis |
| Masked Motion Encoding for Self-Supervised Video Representation | learning | |
| Masked Representation | learning | for Domain Generalized Stereo Matching |
| Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation | learning | |
| Masked Siamese Networks for Label-Efficient | learning | |
| Masked Spatio-Temporal Structure Prediction for Self-supervised | learning | on Point Cloud Videos |
| Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation | learning | |
| MaskSplit: Self-supervised Meta- | learning | for Few-shot Semantic Segmentation |
| Masquerade attack on transform-based binary-template protection based on perceptron | learning | |
| Massive Maritime Path Planning: A Contextual Online | learning | Approach |
| Massive-Scale Genre Communities | learning | Using a Noise-Tolerant Deep Architecture |
| Matchability Oriented Feature Selection for Recognition Structure | learning | |
| Matchable Image Retrieval by | learning | from Surface Reconstruction |
| Matching and | learning | Structural and Spatial Representation with Neural Networks |
| Matching cross-resolution face images using co-transfer | learning | |
| Matching Multiple Perspectives for Efficient Representation | learning | |
| Matching of TerraSAR-X derived ground control points to optical image patches using deep | learning | |
| Matching thermal to visible face images using hidden factor analysis in a cascaded subspace | learning | framework |
| MatchNet: Unifying feature and metric | learning | for patch-based matching |
| Mathematical Analysis of | learning | Loss for Active Learning in Regression, A |
| Mathematical Analysis of | learning | Loss for Active Learning in Regression, A |
| Mating Rituals of Deep Neural Networks: | learning | Compact Feature Representations Through Sexual Evolutionary Synthesis, The |
| MATRIOSKA: A Multi-level Approach to Fast Tracking by | learning | |
| Matrix Capsule Convolutional Projection for Deep Feature | learning | |
| Matrix Completion via Non-Convex Relaxation and Adaptive Correlation | learning | |
| Matrix Factorization & Clustering Based Approach for Transfer | learning | , A |
| Matrix SegNet: A Practical Deep | learning | Framework for Landslide Mapping from Images of Different Areas with Different Spatial Resolutions |
| Matrix Tri-Factorization with Manifold Regularizations for Zero-Shot | learning | |
| Matrix-pattern-oriented Ho-Kashyap classifier with regularization | learning | |
| Matrix-Structural | learning | (MSL) of Cascaded Classifier from Enormous Training Set |
| Matrixized | learning | machine with modified pairwise constraints |
| Matryoshka Peek: Toward | learning | Fine-Grained, Robust, Discriminative Features for Product Search |
| Matting-driven online | learning | of Hough forests for object tracking |
| Max Margin AND/OR Graph | learning | for parsing the human body |
| Max Margin | learning | of Hierarchical Configural Deformable Templates (HCDTs) for Efficient Object Parsing and Pose Estimation |
| Max-Margin Deep Generative Models for (Semi-)Supervised | learning | |
| Max-Margin Dictionary | learning | for Multiclass Image Categorization |
| Max-margin embedding for multi-label | learning | |
| Max-Margin | learning | of Deep Structured Models for Semantic Segmentation |
| Max-Margin Majority Voting for | learning | from Crowds |
| Max-Margin Multiattribute | learning | With Low-Rank Constraint |
| MAXGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-noise Ratio for Multi-Task | learning | |
| Maximizing Impacts of Remote Sensing Surveys in Slope Stability: A Novel Method to Incorporate Discontinuities into Machine | learning | Landslide Prediction |
| Maximum Correntropy Based Dictionary | learning | Framework for Physical Activity Recognition Using Wearable Sensors |
| Maximum correntropy criterion for discriminative dictionary | learning | |
| Maximum Correntropy Criterion-Based Sparse Subspace | learning | for Unsupervised Feature Selection |
| Maximum entropy-based semi-supervised | learning | for automatic detection and recognition of objects using deep ConvNets |
| Maximum Margin Approach to | learning | Text Classifiers Methods, Theory and Algorithms, The |
| maximum margin discriminative | learning | algorithm for temporal signals, A |
| Maximum Margin Distance | learning | for Dynamic Texture Recognition |
| Maximum margin GMM | learning | for facial expression recognition |
| Maximum Margin Metric | learning | Based Target Detection for Hyperspectral Images |
| Maximum Margin Metric | learning | over Discriminative Nullspace for Person Re-identification |
| Maximum Margin Projection Subspace | learning | for Visual Data Analysis |
| Maximum-Margin Structured | learning | with Deep Networks for 3D Human Pose Estimation |
| MaxMatch: Semi-Supervised | learning | With Worst-Case Consistency |
| May the torcher light our way: A negative-accelerated active | learning | framework for image classification |
| MBES Seabed Sediment Classification Based on a Decision Fusion Method Using Deep | learning | Model |
| MCL: A Contrastive | learning | Method for Multimodal Data Fusion in Violence Detection |
| MCL: Multimodal Contrastive | learning | for Deepfake Detection |
| MCNN: Conditional focus probability | learning | to multi-focus image fusion via mutually coupled neural network |
| MDFlow: Unsupervised Optical Flow | learning | by Reliable Mutual Knowledge Distillation |
| MDFM: Multi-Decision Fusing Model for Few-Shot | learning | |
| MDFN: Multi-scale deep feature | learning | network for object detection |
| mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active | learning | -Based Classification |
| mDixon-based synthetic CT generation via transfer and patch | learning | |
| MDL-CW: A Multimodal Deep | learning | Framework with CrossWeights |
| MDL-NAS: A Joint Multi-domain | learning | Framework for Vision Transformer |
| MDLF: A Multi-View-Based Deep | learning | Framework for Individual Trip Destination Prediction in Public Transportation Systems |
| Me, Myself, and the (Virtual) World: A Review of | learning | Research in 4E Cognition and Immersive Virtual Reality |
| MEAL: Manifold Embedding-based Active | learning | |
| Mean Shift for Self-Supervised | learning | |
| Mean-Field Approach to | learning | in Boltzmann Machines |
| Measuring Asymmetric Gradient Discrepancy in Parallel Continual | learning | |
| Measuring residents' perceptions of city streets to inform better street planning through deep | learning | and space syntax |
| Measuring the Multiple Functions and Tradeoffs among Streets: A New Framework Using the Deep | learning | Method |
| Measuring the Utilization of Public Open Spaces by Deep | learning | : A Benchmark Study at the Detroit Riverfront |
| Median-Shape Representation | learning | for Category-Level Object Pose Estimation in Cluttered Environments |
| Medical Image Classification Using Generalized Zero Shot | learning | |
| Medical image fusion using Transfer | learning | and L-BFGS optimization algorithm |
| Medical Image Processing and Deep | learning | to Diagnose COVID-19 with CT Images |
| Medical Image Segmentation Using Deep | learning | with Feature Enhancement |
| Medical image segmentation using deep | learning | : A survey |
| Medical Visual Question Answering via Conditional Reasoning and Contrastive | learning | |
| Medicinal Boxes Recognition on a Deep Transfer | learning | Augmented Reality Mobile Application |
| MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement | learning | |
| Medusa: Universal Feature | learning | via Attentional Multitasking |
| Medutainment-Based AR Rally: Disaster Medical | learning | Tool for Citizens |
| MegaDepth: | learning | Single-View Depth Prediction from Internet Photos |
| MEGL: Multi-Experts Guided | learning | Network for Single Camera Training Person Re-Identification |
| Meibomian Glands Segmentation In Near-Infrared Images With Weakly Supervised Deep | learning | |
| Melanoma Classification Using Dermoscopy Imaging and Ensemble | learning | |
| Melanoma Detection Based on Mahalanobis Distance | learning | and Constrained Graph Regularized Nonnegative Matrix Factorization |
| Melanoma skin cancer identification with amalgamated TSBTC and BTC colour features using ensemble of machine | learning | algorithms |
| MELTR: Meta Loss Transformer for | learning | to Fine-tune Video Foundation Models |
| Membrane segmentation via active | learning | with deep networks |
| Memetic Extreme | learning | Machine |
| MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim | learning | |
| memorization | learning | model for image retrieval, A |
| Memorizing Complementation Network for Few-Shot Class-Incremental | learning | |
| Memory and Expectations in | learning | , Language, and Visual Understanding |
| Memory Aware Synapses: | learning | What (not) to Forget |
| Memory Based Online | learning | of Deep Representations from Video Streams |
| Memory efficient data-free distillation for continual | learning | |
| Memory in Memory: A Predictive Neural Network for | learning | Higher-Order Non-Stationarity From Spatiotemporal Dynamics |
| Memory | learning | Framework for Effective Image Retrieval, A |
| Memory Network With Pixel-Level Spatio-Temporal | learning | for Visual Object Tracking |
| Memory Oriented Transfer | learning | for Semi-Supervised Image Deraining |
| Memory Population in Continual | learning | via Outlier Elimination |
| Memory Uncertainty | learning | for Real-World Single Image Deraining |
| Memory-augmented Dense Predictive Coding for Video Representation | learning | |
| Memory-Based Deep Reinforcement | learning | for Obstacle Avoidance in UAV With Limited Environment Knowledge |
| Memory-Based In Situ | learning | for Unmanned Vehicles |
| Memory-Based | learning | Approach as Compared to Other Data Mining Algorithms for the Prediction of Soil Texture Using Diffuse Reflectance Spectra, A |
| Memory-Based Parameterized Skills | learning | for Mapless Visual Navigation |
| Memory-efficient Incremental | learning | Through Feature Adaptation |
| Mental Retrieval of Remote Sensing Images via Adversarial Sketch-Image Feature | learning | |
| Mercury Prediction in Urban Soils by Remote Sensing and Relief Data Using Machine | learning | Techniques |
| MERF: A Practical HDR-Like Image Generator via Mutual-Guided | learning | Between Multi-Exposure Registration and Fusion |
| Merging multiple sensing platforms and deep | learning | empowers individual tree mapping and species detection at the city scale |
| MES-Loss: Mutually equidistant separation metric | learning | loss function |
| Mesh | learning | for object classification using fMRI measurements |
| Meta Agent Teaming Active | learning | for Pose Estimation |
| Meta Attention-Generation Network for Cross-Granularity Few-Shot | learning | |
| Meta Auxiliary | learning | for Facial Action Unit Detection |
| Meta captioning: A meta | learning | based remote sensing image captioning framework |
| Meta | learning | on a Sequence of Imbalanced Domains with Difficulty Awareness |
| Meta | learning | via Learned Loss |
| Meta Module Generation for Fast Few-Shot Incremental | learning | |
| Meta Navigator: Search for a Good Adaptation Policy for Few-shot | learning | |
| Meta Omnium: A Benchmark for General-Purpose | learning | -to-Learn |
| Meta OOD | learning | For Continuously Adaptive OOD Detection |
| Meta R-CNN: Towards General Solver for Instance-Level Low-Shot | learning | |
| Meta Self- | learning | for Multi-Source Domain Adaptation: A Benchmark |
| Meta Transfer | learning | for Adaptive Vehicle Tracking in UAV Videos |
| Meta Transfer | learning | for Facial Emotion Recognition |
| Meta-Aggregator: | learning | to Aggregate for 1-bit Graph Neural Networks |
| Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine | learning | and Statistical Models |
| Meta-attention for ViT-backed Continual | learning | |
| Meta-Auxiliary | learning | for Future Depth Prediction in Videos |
| Meta-Baseline: Exploring Simple Meta- | learning | for Few-Shot Learning |
| Meta-Baseline: Exploring Simple Meta- | learning | for Few-Shot Learning |
| Meta-causal Feature | learning | for Out-of-distribution Generalization |
| Meta-Causal | learning | for Single Domain Generalization |
| Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta- | learning | |
| META-DES: A dynamic ensemble selection framework using meta- | learning | |
| Meta-Evaluation of Image Segmentation Using Machine | learning | |
| Meta-FSEO: A Meta- | learning | Fast Adaptation with Self-Supervised Embedding Optimization for Few-Shot Remote Sensing Scene Classification |
| Meta-hallucinating prototype for few-shot | learning | promotion |
| Meta-Knowledge | learning | and Domain Adaptation for Unseen Background Subtraction |
| Meta- | learning | |
| Meta- | learning | Approach for Domain Generalisation across Visual Modalities in Vehicle Re-identification, A |
| meta- | learning | approach for selecting image segmentation algorithm, A |
| Meta- | learning | Approach of Optimisation for Spatial Prediction of Landslides, A |
| Meta- | learning | Approach to Conditional Random Fields Using Error-Correcting Output Codes, A |
| Meta- | learning | Approach to Predicting Performance and Data Requirements, A |
| Meta- | learning | based relation and representation learning networks for single-image deraining |
| Meta- | learning | based relation and representation learning networks for single-image deraining |
| Meta- | learning | Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset |
| Meta- | learning | for Adaptation of Deep Optical Flow Networks |
| Meta- | learning | for Adaptive Image Segmentation |
| Meta- | learning | for dynamic tuning of active learning on stream classification |
| Meta- | learning | for dynamic tuning of active learning on stream classification |
| Meta- | learning | for Few-Shot Land Cover Classification |
| Meta- | learning | for Multi-Label Few-Shot Classification |
| Meta- | learning | Framework for Learning Multi-User Preferences in QoE Optimization of DASH, A |
| Meta- | learning | Framework for Learning Multi-User Preferences in QoE Optimization of DASH, A |
| Meta- | learning | in Neural Networks: A Survey |
| Meta- | learning | Initializations for Interactive Medical Image Registration |
| Meta- | learning | of Neural Architectures for Few-Shot Learning |
| Meta- | learning | of Neural Architectures for Few-Shot Learning |
| Meta- | learning | Paradigm and CosAttn for Streamer Action Recognition in Live Video |
| Meta- | learning | Perspective for Personalized Image Aesthetics Assessment |
| Meta- | learning | to Detect Rare Objects |
| Meta- | learning | with a Geometry-Adaptive Preconditioner |
| Meta- | learning | with Context-Agnostic Initialisations |
| Meta- | learning | With Differentiable Convex Optimization |
| Meta- | learning | with Less Forgetting on Large-Scale Non-Stationary Task Distributions |
| Meta- | learning | with Network Pruning |
| Meta- | learning | with Task-Adaptive Loss Function for Few-Shot Learning |
| Meta- | learning | with Task-Adaptive Loss Function for Few-Shot Learning |
| Meta- | learning | with topic-agnostic representations for zero-shot stance detection |
| Meta- | learning | -based adversarial training for deep 3D face recognition on point clouds |
| Meta- | learning | -Based Degradation Representation for Blind Super-Resolution |
| Meta- | learning | -Based Incremental Few-Shot Object Detection |
| Meta-Meta Classification for One-Shot | learning | |
| Meta-MSNet: Meta- | learning | Based Multi-Source Data Fusion for Traffic Flow Prediction |
| Meta-Parameter Free Unsupervised Sparse Feature | learning | |
| Meta-Pixel-Driven Embeddable Discriminative Target and Background Dictionary Pair | learning | for Hyperspectral Target Detection |
| Meta-prototype Decoupled Training for Long-tailed | learning | |
| Meta-Reinforcement | learning | in Non-Stationary and Dynamic Environments |
| Meta-seg: A survey of meta- | learning | for image segmentation |
| Meta-SIM2: Unsupervised | learning | of Scene Structure for Synthetic Data Generation |
| Meta-Sim: | learning | to Generate Synthetic Datasets |
| Meta-Transfer | learning | for Few-Shot Learning |
| Meta-Transfer | learning | for Few-Shot Learning |
| Meta-Transfer | learning | for Zero-Shot Super-Resolution |
| Meta-Transfer | learning | Through Hard Tasks |
| Meta-transfer-adjustment | learning | for few-shot learning |
| Meta-transfer-adjustment | learning | for few-shot learning |
| Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta- | learning | |
| Meta-VOS: | learning | to Adapt Online Target-Specific Segmentation |
| Meta-ZSDETR: Zero-shot DETR with Meta- | learning | |
| META: A City-Wide Taxi Repositioning Framework Based on Multi-Agent Reinforcement | learning | |
| MetaAge: Meta- | learning | Personalized Age Estimators |
| MetaCleaner: | learning | to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition |
| metadata access strategy of | learning | resources based on HDFS, A |
| MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement | learning | |
| MetaDT: Meta Decision Tree With Class Hierarchy for Interpretable Few-Shot | learning | |
| MetaF2N: Blind Image Super-Resolution by | learning | Efficient Model Adaptation from Faces |
| Metaface | learning | for Sparse Representation Based Face Recognition |
| MetaFSCIL: A Meta- | learning | Approach for Few-Shot Class Incremental Learning |
| MetaFSCIL: A Meta- | learning | Approach for Few-Shot Class Incremental Learning |
| MetaGait: | learning | to Learn an Omni Sample Adaptive Representation for Gait Recognition |
| MetaGCD: | learning | to Continually Learn in Generalized Category Discovery |
| MetaIQA: Deep Meta- | learning | for No-Reference Image Quality Assessment |
| MetaKernel: | learning | Variational Random Features With Limited Labels |
| MetaLabelNet: | learning | to Generate Soft-Labels From Noisy-Labels |
| MetaMed: Few-shot medical image classification using gradient-based meta- | learning | |
| MetaMix: Improved Meta- | learning | with Interpolation-based Consistency Regularization |
| MetaMix: Towards Corruption-Robust Continual | learning | with Temporally Self-Adaptive Data Transformation |
| MetaPruning: Meta | learning | for Automatic Neural Network Channel Pruning |
| MetaSearch: Incremental Product Search via Deep Meta- | learning | |
| MetaSets: Meta- | learning | on Point Sets for Generalizable Representations |
| MetaTraj: Meta- | learning | for Cross-Scene Cross-Object Trajectory Prediction |
| Metaverse-Based Teaching Building Evacuation Training System With Deep Reinforcement | learning | , A |
| MetaVG: A Meta- | learning | Framework for Visual Grounding |
| METEO-DLNet: Quantitative Precipitation Nowcasting Net Based on Meteorological Features and Deep | learning | |
| MeteorNet: Deep | learning | on Dynamic 3D Point Cloud Sequences |
| method for attribute selection in inductive | learning | systems, A |
| Method for Estimating the Number of Households In A Region From The Number of Buildings Estimated By Deep | learning | with the Adjustment Of Its Number Using Ancillary Datasets: Case Study In Djakarta, A |
| Method for Forest Canopy Height Inversion Based on Machine | learning | and Feature Mining Using UAVSAR, A |
| method for | learning | matching errors for stereo computation, A |
| Method for Long-Term Target Anti-Interference Tracking Combining Deep | learning | and CKF for LARS Tracking and Capturing, A |
| Method for Retrieving Cloud-Top Height Based on a Machine | learning | Model Using the Himawari-8 Combined with Near Infrared Data, A |
| method of anomaly detection and fault diagnosis with online adaptive | learning | under small training samples, A |
| method of solving pattern or image recognition problems by | learning | Boolean formulas, A |
| method to add Hidden Markov Models with application to | learning | articulated motion, A |
| method to compute distance between two categorical values of same attribute in unsupervised | learning | for categorical data set, A |
| method to estimate leaf area index from VIIRS surface reflectance using deep transfer | learning | , A |
| Metric | learning | |
| Metric | learning | as Convex Combinations of Local Models with Generalization Guarantees |
| Metric | learning | based automatic segmentation of patterned species |
| Metric | learning | Based Interactive Modulation for Real-World Super-Resolution |
| Metric | learning | based on attribute hypergraph |
| Metric | learning | Based Structural Appearance Model for Robust Visual Tracking |
| Metric | learning | by directly minimizing the k-NN training error |
| Metric | learning | by discriminant neighborhood embedding |
| Metric | learning | by simultaneously learning linear transformation matrix and weight matrix for person re-identification |
| Metric | learning | by simultaneously learning linear transformation matrix and weight matrix for person re-identification |
| Metric | learning | for Approximation of Microwave Channel Error Covariance: Application for Satellite Retrieval of Drizzle and Light Snowfall |
| Metric | learning | for graph based semi-supervised human pose estimation |
| Metric | learning | for Image Alignment |
| Metric | learning | for Image Registration |
| Metric | learning | for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost |
| Metric | learning | for Multi-Output Tasks |
| Metric | learning | for Text Documents |
| Metric | learning | from Imbalanced Data with Generalization Guarantees |
| Metric | learning | from Poses for Temporal Clustering of Human Motion |
| Metric | learning | in Dissimilarity Space for Improved Nearest Neighbor Performance |
| Metric | learning | in the Dissimilarity Space to Improve Low-Resolution Face Recognition |
| Metric | learning | on the Manifold of Oriented Ellipses: Application to Facial Expression Recognition |
| Metric | learning | Reality Check, A |
| Metric | learning | Using Iwasawa Decomposition |
| Metric | learning | via feature weighting for scalable image retrieval |
| Metric | learning | via perturbing hard-to-classify instances |
| Metric | learning | with A-based Scalar Product for Image-set Recognition |
| Metric | learning | With HORDE: High-Order Regularizer for Deep Embeddings |
| Metric | learning | with trace-norm regularization for person re-identification |
| Metric | learning | with two-dimensional smoothness for visual analysis |
| Metric | learning | , Re-Identification Issues |
| Metric | learning | -based kernel transformer with triplets and label constraints for feature fusion |
| Metric | learning | -Based Multimodal Audio-Visual Emotion Recognition |
| Metric | learning | -Based Unsupervised Domain Adaptation for 3D Skeleton Hand Activities Categorization |
| Metric | learning | : A general dimension reduction framework for classification and visualization |
| Metric Similarities | learning | through Examples: An Application to Shape Retrieval |
| Metric-Based Regularization and Temporal Ensemble for Multi-Task | learning | using Heterogeneous Unsupervised Tasks |
| Metric-Driven | learning | of Correspondence Weighting for 2-D/3-D Image Registration |
| MetricOpt: | learning | to Optimize Black-Box Evaluation Metrics |
| Metro maps for efficient knowledge | learning | by summarizing massive electronic textbooks |
| Metu Loss: Metric | learning | With Entangled Triplet Unified Loss |
| MFHI: Taking Modality-Free Human Identification as Zero-Shot | learning | |
| MFIL-FCOS: A Multi-Scale Fusion and Interactive | learning | Method for 2D Object Detection and Remote Sensing Image Detection |
| MFNet: Multiclass Few-Shot Segmentation Network with Pixel-Wise Metric | learning | |
| MGL: Mutual Graph | learning | for Camouflaged Object Detection |
| MGRLN-net: Mask-guided Residual | learning | Network for Joint Single-image Shadow Detection and Removal |
| MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental | learning | |
| MHPL: Minimum Happy Points | learning | for Active Source Free Domain Adaptation |
| MIC: Mining Interclass Characteristics for Improved Metric | learning | |
| Micro Expression Classification using Facial Color and Deep | learning | Methods |
| Micro-expression Recognition Based on Facial Graph Representation | learning | and Facial Action Unit Fusion |
| Micro-Expression Recognition by Regression Model and Group Sparse Spatio-Temporal Feature | learning | |
| Micro-expression recognition with supervised contrastive | learning | |
| Micro-Influencer Recommendation by Multi-Perspective Account Representation | learning | |
| Micro-Safe: Microservices- and Deep | learning | -Based Safety-as-a-Service Architecture for 6G-Enabled Intelligent Transportation System |
| Micro-Supervised Disturbance | learning | : A Perspective of Representation Probability Distribution |
| Microaneurysm (MA) Detection via Sparse Representation Classifier with MA and Non-MA Dictionary | learning | |
| Microaneurysms segmentation and diabetic retinopathy detection by | learning | discriminative representations |
| Microcontrollers on the Edge: Is ESP32 with Camera Ready for Machine | learning | ? |
| Microisp: Processing 32mp Photos on Mobile Devices with Deep | learning | |
| Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine | learning | |
| Microscopic Model of Vehicle CO2 Emissions Based on Deep | learning | : A Spatiotemporal Analysis of Taxicabs in Wuhan, China, A |
| Microwave Breast Imaging Based on Deep | learning | |
| Mid- and Long-Term Arctic Sea Ice Concentration Prediction Model Based on Deep | learning | Technology, A |
| MIForests: Multiple-Instance | learning | with Randomized Trees |
| Migration Analysis: An Alternative Approach for Analyzing | learning | Performance |
| MILA: Multi-Task | learning | from Videos via Efficient Inter-Frame Attention |
| MILCut: A Sweeping Line Multiple Instance | learning | Paradigm for Interactive Image Segmentation |
| MILES: Multiple-Instance | learning | via Embedded Instance Selection |
| MILIS: Multiple Instance | learning | with Instance Selection |
| Mimic Embedding via Adaptive Aggregation: | learning | Generalizable Person Re-identification |
| Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental | learning | |
| MIML-FCN+: Multi-Instance Multi-Label | learning | via Fully Convolutional Networks with Privileged Information |
| MIMO Radar Waveform Design for Multipath Exploitation Using Deep | learning | |
| min-max framework of cascaded classifier with multiple instance | learning | for computer aided diagnosis, A |
| Min-Max Similarity: A Contrastive Semi-Supervised Deep | learning | Network for Surgical Tools Segmentation |
| Min-Max Statistical Alignment for Transfer | learning | |
| Mind the Clot: Automated LVO Detection on CTA using Deep | learning | |
| Mind the Gap: | learning | Modality-Agnostic Representations With a Cross-Modality UNet |
| Mine Pit Wall Geological Mapping Using UAV-Based RGB Imaging and Unsupervised | learning | |
| MineCam: Application of Combined Remote Sensing and Machine | learning | for Segmentation and Change Detection of Mining Areas Enabling Multi-Purpose Monitoring |
| MinEnt: Minimum entropy for self-supervised representation | learning | |
| MINet: Meta- | learning | Instance Identifiers for Video Object Detection |
| Minimal Adversarial Examples for Deep | learning | on 3D Point Clouds |
| Minimal | learning | Machine In Anomaly Detection From Hyperspectral Images |
| Minimalistic Image Signal Processing for Deep | learning | Applications |
| Minimax Entropy and | learning | by Diffusion |
| Minimax Partial Distortion Competitive | learning | for Optimal Codebook Design |
| Minimizing dataset bias: Discriminative multi-task sparse coding through shared subspace | learning | for image classification |
| Minimizing Energy Consumption of Deep | learning | Models by Energy-Aware Training |
| Minimizing Human Effort in Interactive Tracking by Incremental | learning | of Model Parameters |
| Minimizing Reconstruction Bias Hashing via Joint Projection | learning | and Quantization |
| Minimum class variance broad | learning | system for hyperspectral image classification |
| Minimum Class Variance Extreme | learning | Machine for Human Action Recognition |
| Minimum classification error | learning | for sequential data in the wavelet domain |
| Minimum variance-embedded kernelized extension of extreme | learning | machine for imbalance learning |
| Minimum variance-embedded kernelized extension of extreme | learning | machine for imbalance learning |
| Mining Better Samples for Contrastive | learning | of Temporal Correspondence |
| Mining Cross-Person Cues for Body-Part Interactiveness | learning | in HOI Detection |
| Mining Fashion Outfit Composition Using an End-to-End Deep | learning | Approach on Set Data |
| Mining Multiple Queries for Image Retrieval: On-the-Fly | learning | of an Object-Specific Mid-level Representation |
| Mining on Manifolds: Metric | learning | Without Labels |
| Mining Visual Collocation Patterns via Self-Supervised Subspace | learning | |
| Minority Class Oriented Active | learning | for Imbalanced Datasets |
| Miracle-IV: Multiple Image Recognition System Aiming Concept | learning | -- Intelligent Vision |
| MIRACLE: Multimedia Information Retrieval by Analysing Content and | learning | from Examples |
| Mirror image | learning | for autoassociative neural networks |
| Mirror U-Net: Marrying Multimodal Fission with Multi-task | learning | for Semantic Segmentation in Medical Imaging |
| MirrorGAN: | learning | Text-To-Image Generation by Redescription |
| Misclassification tolerable | learning | for robust pedestrian orientation classification |
| MISL: Multi-grained image-text semantic | learning | for text-guided image inpainting |
| Miss Detection vs. False Alarm: Adversarial | learning | for Small Object Segmentation in Infrared Images |
| Misshapen Pelvis Landmark Detection With Local-Global Feature | learning | for Diagnosing Developmental Dysplasia of the Hip |
| Missing Data Imputation via Conditional Generator and Correlation | learning | for Multimodal Brain Tumor Segmentation |
| Missing Modality Transfer | learning | via Latent Low-Rank Constraint |
| Missing Recovery: Single Image Reflection Removal Based on Auxiliary Prior | learning | |
| Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View | learning | Method |
| Missingness-Pattern-Adaptive | learning | With Incomplete Data |
| Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine | learning | |
| Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement | learning | |
| Mitigating Imbalance of Land Cover Change Data for Deep | learning | Models with Temporal and Spatiotemporal Sample Weighting Schemes |
| Mitigating Task Interference in Multi-Task | learning | via Explicit Task Routing with Non-Learnable Primitives |
| Mix-Teaching: A Simple, Unified and Effective Semi-Supervised | learning | Framework for Monocular 3D Object Detection |
| MixBag: Bag-Level Data Augmentation for | learning | from Label Proportions |
| Mixed Autoencoder for Self-Supervised Visual Representation | learning | |
| Mixed Feature Prediction on Boundary | learning | for Point Cloud Semantic Segmentation |
| Mixed | learning | Strategy for Finding Typical Testors in Large Datasets, A |
| Mixed Quantization Enabled Federated | learning | to Tackle Gradient Inversion Attacks |
| Mixed Real-Life and Anime Harmful Images Classification Using Deep Residual Neural Networks and Migration | learning | |
| Mixed Reality-based Dataset Generation for | learning | -based Scan-to-BIM |
| Mixer-Based Semantic Spread for Few-Shot | learning | |
| Mixing up contrastive | learning | : Self-supervised representation learning for time series |
| Mixing up contrastive | learning | : Self-supervised representation learning for time series |
| Mixing Zero-Shot | learning | Up: Learning Unseen Classes from Mixed Features |
| Mixing Zero-Shot | learning | Up: Learning Unseen Classes from Mixed Features |
| MixSpeech: Cross-Modality Self- | learning | with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition |
| Mixture Component Identification and | learning | for Visual Recognition |
| Mixture correntropy for robust | learning | |
| Mixture Statistic Metric | learning | for Robust Human Action and Expression Recognition |
| Mixture-based Feature Space | learning | for Few-shot Image Classification |
| Mixup gamblers+: | learning | interpolated pseudo uncertainty in latent feature space for reliable inference |
| Mixup-Based Deep Metric | learning | Approaches for Incomplete Supervision |
| ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot | learning | |
| ML-BPM: Multi-teacher | learning | with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation |
| ML-DSVM+: A meta- | learning | based deep SVM+ for computer-aided diagnosis |
| ML-KNN: A lazy | learning | approach to multi-label learning |
| ML-KNN: A lazy | learning | approach to multi-label learning |
| ML-LocNet: Improving Object Localization with Multi-view | learning | Network |
| ML-MG: Multi-label | learning | with Missing Labels Using a Mixed Graph |
| MLBoost Revisited: A Faster Metric | learning | Algorithm for Identity-Based Face Retrieval |
| MLCapsule: Guarded Offline Deployment of Machine | learning | as a Service |
| MLE-Based | learning | on Grassmann Manifolds |
| MLGNet: Multi-Task | learning | Network with Attention-Guided Mechanism for Segmenting Agricultural Fields |
| MLRank: Multi-correlation | learning | to Rank for image annotation |
| MLRNN: Taxi Demand Prediction Based on Multi-Level Deep | learning | and Regional Heterogeneity Analysis |
| MLSL: Multi-Level Self-Supervised | learning | for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling |
| MLTSVM: A novel twin support vector machine to multi-label | learning | |
| MM-Diffusion: | learning | Multi-Modal Diffusion Models for Joint Audio and Video Generation |
| MM-net: | learning | Adaptive Meta-metric for Few-shot Biometric Recognition |
| MM-UrbanFAC: Urban Functional Area Classification Model Based on Multimodal Machine | learning | |
| MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal | learning | |
| MMatch: Semi-Supervised Discriminative Representation | learning | for Multi-View Classification |
| MMD Based Discriminative | learning | for Face Forgery Detection |
| MMGL: Multi-Scale Multi-View Global-Local Contrastive | learning | for Semi-Supervised Cardiac Image Segmentation |
| MML-Based Approach for High-Dimensional Unsupervised | learning | Using the Generalized Dirichlet Mixture |
| MMSS: Multi-modal Sharable and Specific Feature | learning | for RGB-D Object Recognition |
| MnasFPN: | learning | Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices |
| Mnemonics Training: Multi-Class Incremental | learning | Without Forgetting |
| MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement | learning | |
| MO-QoE: Video QoE using multi-feature fusion based Optimized | learning | Models |
| Mobile Charging Station Placements in Internet of Electric Vehicles: A Federated | learning | Approach |
| Mobile Device Based Outdoor Navigation with On-Line | learning | Neural Network: A Comparison with Convolutional Neural Network |
| Mobile Edge Computing and Machine | learning | in the Internet of Unmanned Aerial Vehicles: A Survey |
| Mobile hologram verification with deep | learning | |
| MobileGCN applied to low-dimensional node feature | learning | |
| MobileVOS: Real-Time Video Object Segmentation Contrastive | learning | meets Knowledge Distillation |
| Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated | learning | |
| Modality Classification and Concept Detection in Medical Images Using Deep Transfer | learning | |
| Modality Synergy Complement | learning | with Cascaded Aggregation for Visible-Infrared Person Re-Identification |
| Modality-Agnostic | learning | for Radar-Lidar Fusion in Vehicle Detection |
| Modality-Invariant Image Classification Based on Modality Uniqueness and Dictionary | learning | |
| Modality-Oriented Graph | learning | Toward Outfit Compatibility Modeling |
| MoDeep: A Deep | learning | Framework Using Motion Features for Human Pose Estimation |
| Model and Data Integrated Transfer | learning | for Unstructured Map Text Detection |
| Model Construction and System Design of Natural Grassland-Type Recognition Based on Deep | learning | |
| Model Development and Incremental | learning | Based on Case-Based Reasoning for Signal and Image Analysis |
| Model for Animal Home Range Estimation Based on the Active | learning | Method, A |
| Model Latent Views with Multi-Center Metric | learning | for Vehicle Re-Identification |
| Model | learning | and Recognition of Nonrigid Objects |
| Model | learning | Approach For Low Light Image Restoration, A |
| model of formal neural networks for unsupervised | learning | of binary temporal sequences, A |
| Model Optimization Boosting Framework for Linear Model Hash | learning | |
| Model Parameter | learning | for Real-Time High-Resolution Image Enhancement |
| Model Selection for Generalized Zero-Shot | learning | |
| Model Selection for Unsupervised | learning | of Visual Context |
| Model Transport: Towards Scalable Transfer | learning | on Manifolds |
| Model-Agnostic Adversarial Example Detection Through Logit Distribution | learning | |
| Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot | learning | |
| Model-Agnostic Metric for Zero-Shot | learning | |
| Model-Agnostic Multi-Domain | learning | with Domain-Specific Adapters for Action Recognition |
| Model-Assisted Combined Machine | learning | Method for Ionospheric TEC Prediction, A |
| Model-based 3D Hand Reconstruction via Self-Supervised | learning | |
| Model-based active | learning | to detect an isometric deformable object in the wild with a deep architecture |
| Model-based detection, segmentation, and classification for image analysis using on-line shape | learning | |
| Model-Based Hand Tracking by Chamfer Distance and Adaptive Color | learning | Using Particle Filter |
| Model-Based Iterative | learning | Approach for Diffuse Optical Tomography, A |
| Model-Based Iterative Restoration for Binary Document Image Compression with Dictionary | learning | |
| Model-Based | learning | for Accelerated, Limited-View 3-D Photoacoustic Tomography |
| Model-based | learning | for point pattern data |
| Model-Based | learning | of Local Image Features for Unsupervised Texture Segmentation |
| Model-Based | learning | of Segmentations |
| Model-Based | learning | Using a Mixture of Mixtures of Gaussian and Uniform Distributions |
| Model-based Persian calligraphy synthesis via | learning | to transfer templates to personal styles |
| model-based reinforcement | learning | method based on conditional generative adversarial networks, A |
| Model-Based Reinforcement | learning | With Isolated Imaginations |
| MOdel-Based SyntheTic Data-Driven | learning | (MOST-DL): Application in Single-Shot T2 Mapping With Severe Head Motion Using Overlapping-Echo Acquisition |
| Model-Based Transfer | learning | and Sparse Coding for Partial Face Recognition |
| Model-Contrastive Federated | learning | |
| Model-Driven Deep | learning | Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation |
| Model-Free Dynamic Operations Management for EV Battery Swapping Stations: A Deep Reinforcement | learning | Approach |
| Model-Induced Generalization Error Bound for Information-Theoretic Representation | learning | in Source-Data-Free Unsupervised Domain Adaptation |
| Model-Protected Multi-Task | learning | |
| Model-Reference Reinforcement | learning | for Collision-Free Tracking Control of Autonomous Surface Vehicles |
| Modeling 3D Shapes by Reinforcement | learning | |
| Modeling alpine grassland forage phosphorus based on hyperspectral remote sensing and a multi-factor machine | learning | algorithm in the east of Tibetan Plateau, China |
| Modeling and Classification of Alluvial Fans with DEMs and Machine | learning | Methods: A Case Study of Slovenian Torrential Fans |
| Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine | learning | (Case Study: Yazd, Iran) |
| Modeling and | learning | Contact Dynamics in Human Motion |
| Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine | learning | Approach |
| Modeling Bidirectional Polarization Distribution Function of Land Surfaces Using Machine | learning | Techniques |
| Modeling Camera Effects to Improve Visual | learning | from Synthetic Data |
| Modeling Correspondences for Multi-Camera Tracking Using Nonlinear Manifold | learning | and Target Dynamics |
| Modeling Crossing Behaviors of E-Bikes at Intersection With Deep Maximum Entropy Inverse Reinforcement | learning | Using Drone-Based Video Data |
| Modeling Forest Canopy Cover: A Synergistic Use of Sentinel-2, Aerial Photogrammetry Data, and Machine | learning | |
| Modeling global distribution for federated | learning | with label distribution skew |
| Modeling Housing Rent in the Atlanta Metropolitan Area Using Textual Information and Deep | learning | |
| Modeling Human Driving Behavior Through Generative Adversarial Imitation | learning | |
| Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot | learning | |
| Modeling Interaction Structure for Robot Imitation | learning | of Human Social Behavior |
| Modeling label dependencies in kernel | learning | for image annotation |
| Modeling local and global deformations in Deep | learning | : Epitomic convolution, Multiple Instance Learning, and sliding window detection |
| Modeling local and global deformations in Deep | learning | : Epitomic convolution, Multiple Instance Learning, and sliding window detection |
| Modeling Missing Annotations for Incremental | learning | in Object Detection |
| Modeling Multimodal Clues in a Hybrid Deep | learning | Framework for Video Classification |
| Modeling of moving object trajectory by spatio-temporal | learning | for abnormal behavior detection |
| Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine | learning | Approach |
| Modeling Perceptual Color Differences by Local Metric | learning | |
| Modeling Prosodic Phrasing With Multi-Task | learning | in Tacotron-Based TTS |
| Modeling Smart Cloud Computing Resource Allocation in E- | learning | |
| Modeling Stylized Character Expressions via Deep | learning | |
| Modeling the Background for Incremental | learning | in Semantic Segmentation |
| Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine- | learning | Approaches |
| Modeling the Effects of Autonomous Vehicles on Human Driver Car-Following Behaviors Using Inverse Reinforcement | learning | |
| Modeling the Influences of Cyclic Top-Down and Bottom-Up Processes for Reinforcement | learning | in Eye Movements |
| Modeling the Leaf Area Index of Inner Mongolia Grassland Based on Machine | learning | Regression Algorithms Incorporating Empirical Knowledge |
| Modeling the Pedestrian Flow Before Bottleneck Through | learning | -Based Method |
| Modeling the Relationship of =2 MeV Electron Fluxes at Different Longitudes in Geostationary Orbit by the Machine | learning | Method |
| Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine | learning | Approach |
| Modeling Video as Stochastic Processes for Fine-Grained Video Representation | learning | |
| Modeling Vocal Entrainment in Conversational Speech Using Deep Unsupervised | learning | |
| Modeling vs. | learning | approaches for monocular 3D human pose estimation |
| Modelling In-Store Consumer Behaviour Using Machine | learning | and Digital Signage Audience Measurement Data |
| Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence | learning | |
| Modelling soil organic carbon stock distribution across different land-uses in South Africa: A remote sensing and deep | learning | approach |
| Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine | learning | |
| Models for | learning | Spatial Interactions in Natural Images for Context-Based Classification |
| Models of Perceptual | learning | in Vernier Hyperacuity |
| Models, Inference, | learning | Human Activities, Human Behavior |
| ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive | learning | |
| Modification of supervised OPF-based intrusion detection systems using unsupervised | learning | and social network concept |
| Modified Deep Reinforcement | learning | with Efficient Convolution Feature for Small Target Detection in VHR Remote Sensing Imagery |
| Modified Isomap Approach to Manifold | learning | in Word Spotting, A |
| Modified Iterative- | learning | -Control-Based Ramp Metering Strategies for Freeway Traffic Control With Iteration-Dependent Factors |
| Modified Large Margin Nearest Neighbor Metric | learning | for Regression |
| Modified RNN-Based Deep | learning | Method for Prediction of Atmospheric Visibility, A |
| modified threshold score-based multilevel thresholding segmentation technique for brain magnetic resonance images using opposition-based | learning | hybrid rice optimization algorithm, A |
| MODIS Fractional Snow Cover Mapping Using Machine | learning | Technology in a Mountainous Area |
| MODIS-Based Estimation of Terrestrial Latent Heat Flux over North America Using Three Machine | learning | Algorithms |
| MoDL-MUSSELS: Model-Based Deep | learning | for Multishot Sensitivity-Encoded Diffusion MRI |
| MoDL: Model-Based Deep | learning | Architecture for Inverse Problems |
| Modout: | learning | Multi-Modal Architectures by Stochastic Regularization |
| Modular and Transferable Reinforcement | learning | Framework for the Fleet Rebalancing Problem, A |
| Modular hierarchical feature | learning | with deep neural networks for face verification |
| Modular | learning | Approach for Fish Counting and Measurement Using Stereo Baited Remote Underwater Video, A |
| Modulating scalable Gaussian processes for expressive statistical | learning | |
| Modulation Module for Multi-task | learning | with Applications in Image Retrieval, A |
| Modulation Pattern Detection Using Complex Convolutions in Deep | learning | |
| MOGAN: Morphologic-Structure-Aware Generative | learning | From a Single Image |
| MOHA: A Multi-Mode Hybrid Automaton Model for | learning | Car-Following Behaviors |
| MOHE-Net: Monocular Object Height Estimation Network Using Deep | learning | and Scene Geometry |
| MOL: Towards accurate weakly supervised remote sensing object detection via Multi-view nOoisy | learning | |
| MoLo: Motion-Augmented Long-Short Contrastive | learning | for Few-Shot Action Recognition |
| Momenet: Flavor the Moments in | learning | to Classify Shapes |
| MomentsNet: A simple | learning | -free method for binary image recognition |
| Momentum Batch Normalization for Deep | learning | with Small Batch Size |
| Momentum Contrast for Unsupervised Visual Representation | learning | |
| Momentum contrastive | learning | for few-shot COVID-19 diagnosis from chest CT images |
| MongeNet: Efficient Sampler for Geometric Deep | learning | |
| Monitoring and Forecasting of Urban Expansion Using Machine | learning | -Based Techniques and Remotely Sensed Data: A Case Study of Gharbia Governorate, Egypt |
| Monitoring Desertification Using Machine- | learning | Techniques with Multiple Indicators Derived from MODIS Images in Mu Us Sandy Land, China |
| Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature | learning | |
| Monitoring Forest Change in the Amazon Using Multi-Temporal Remote Sensing Data and Machine | learning | Classification on Google Earth Engine |
| Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine- | learning | Techniques? |
| Monitoring Green Tide in the Yellow Sea Using High-Resolution Imagery and Deep | learning | |
| Monitoring Hydrological Patterns of Temporary Lakes Using Remote Sensing and Machine | learning | Models: Case Study of La Mancha Humeda Biosphere Reserve in Central Spain |
| Monitoring leaf phenology in moist tropical forests by applying a superpixel-based deep | learning | method to time-series images of tree canopies |
| Monitoring Lightning Location Based on Deep | learning | Combined with Multisource Spatial Data |
| Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine | learning | algorithms |
| Monitoring of an Indonesian Tropical Wetland by Machine | learning | -Based Data Fusion of Passive and Active Microwave Sensors |
| Monitoring of Chestnut Trees Using Machine | learning | Techniques Applied to UAV-Based Multispectral Data |
| Monitoring Soil Salinity Classes through Remote Sensing-Based Ensemble | learning | Concept: Considering Scale Effects |
| Monitoring the Area Change in the Three Gorges Reservoir Riparian Zone Based on Genetic Algorithm Optimized Machine | learning | Algorithms and Sentinel-1 Data |
| Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined Machine | learning | Models |
| Monitoring the Impact of Large Transport Infrastructure on Land Use and Environment Using Deep | learning | and Satellite Imagery |
| Monitoring the Variation of Vegetation Water Content with Machine | learning | Methods: Point-Surface Fusion of MODIS Products and GNSS-IR Observations |
| Monitoring Total Suspended Solids and Chlorophyll-a Concentrations in Turbid Waters: A Case Study of the Pearl River Estuary and Coast Using Machine | learning | |
| Monitoring Water Quality of Valle de Bravo Reservoir, Mexico, Using Entire Lifespan of MERIS Data and Machine | learning | Approaches |
| Monitoring Within-Field Variability of Corn Yield using Sentinel-2 and Machine | learning | Techniques |
| Monocular 3D facial shape reconstruction from a single 2D image with coupled-dictionary | learning | and sparse coding |
| Monocular and Stereo Methods for AAM | learning | from Video |
| Monocular Camera Fall Detection System Exploiting 3D Measures: A Semi-supervised | learning | Approach |
| Monocular Camera-Based Complex Obstacle Avoidance via Efficient Deep Reinforcement | learning | |
| Monocular Free-Head 3D Gaze Tracking with Deep | learning | and Geometry Constraints |
| Monocular human pose estimation: A survey of deep | learning | -based methods |
| Monocular Online | learning | for Road Region Labeling and Object Detection from a Moving Platform |
| MonoNeRF: | learning | a Generalizable Dynamic Radiance Field from Monocular Videos |
| MONstEr: A Deep | learning | -Based System for the Automatic Generation of Gaming Assets |
| Mood detection analyzing lyrics and audio signal based on deep | learning | architectures |
| Mood- | learning | Public Display: Adapting Content Design Evolutionarily through Viewers' Involuntary Gestures and Movements |
| MOON: Multi-hash codes joint | learning | for cross-media retrieval |
| Mooney face classification and prediction by | learning | across tone |
| Moquad: Motion-focused Quadruple Construction for Video Contrastive | learning | |
| More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental | learning | |
| More Diverse Means Better: Multimodal Deep | learning | Meets Remote-Sensing Imagery Classification |
| More Photos are All You Need: Semi-Supervised | learning | for Fine-Grained Sketch Based Image Retrieval |
| More Synergy, Less Redundancy: Exploiting Joint Mutual Information for Self-Supervised | learning | |
| more you know, the less you learn: from knowledge transfer to one-shot | learning | of object categories, The |
| MORGAN: Meta- | learning | -based Few-Shot Open-Set Recognition via Generative Adversarial Network |
| Moroccan sign language recognition based on machine | learning | |
| MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation | learning | |
| MorphNet: Fast & Simple Resource-Constrained Structure | learning | of Deep Networks |
| Morphological Analysis Combined with a Machine | learning | Approach to Detect Utrasound Median Sagittal Sections for the Nuchal Translucency Measurement |
| MOSRO: Enabling Mobile Sensing for Real-Scene Objects with Grid Based Structured Output | learning | |
| MoTIF: | learning | Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution |
| Motion and Region Aware Adversarial | learning | for Fall Detection with Thermal Imaging |
| Motion Based Image Segmentation with Unsupervised Bayesian | learning | |
| Motion Basis | learning | for Unsupervised Deep Homography Estimation with Subspace Projection |
| Motion Blur Kernel Estimation via Deep | learning | |
| Motion Control of Omni-Directional Three-Wheel Robots by Brain-Emotional- | learning | -Based Intelligent Controller |
| Motion control of unmanned underwater vehicles via deep imitation reinforcement | learning | algorithm |
| Motion Deblur by | learning | Residual From Events |
| Motion Estimation by Deep | learning | in 2D Echocardiography: Synthetic Dataset and Validation |
| Motion Estimation in Echocardiography Using Sparse Representation and Dictionary | learning | |
| Motion estimation using | learning | automata |
| Motion Estimation Using Statistical | learning | Theory |
| Motion Guided Attention | learning | for Self-Supervised 3D Human Action Recognition |
| Motion Matters: Difference-based Multi-scale | learning | for Infrared UAV Detection |
| motion parameters estimating method based on deep | learning | for visual blurred object tracking, A |
| Motion Recognition Employing Multiple Kernel | learning | of Fisher Vectors Using Local Skeleton Features |
| Motion Rectification Network for Unsupervised | learning | of Monocular Depth and Camera Motion |
| Motion Segmentation by | learning | Homography Matrices from Motor Signals |
| Motion Segmentation, Neural Networks, | learning | |
| Motion Sensitive Contrastive | learning | for Self-Supervised Video Representation |
| Motion Trajectory | learning | in the DFT-Coefficient Feature Space |
| Motion-Augmented Inference and Joint Kernels in Structured | learning | for Object Tracking |
| Motion-aware Contrastive Video Representation | learning | via Foreground-background Merging |
| Motion-based behaviour | learning | , profiling and classification in the presence of anomalies |
| Motion-blur kernel size estimation via | learning | a convolutional neural network |
| Motion-Driven Visual Tempo | learning | for Video-Based Action Recognition |
| Motion-Focused Contrastive | learning | of Video Representations* |
| Motion-Guided Masking for Spatiotemporal Representation | learning | |
| MotionBERT: A Unified Perspective on | learning | Human Motion Representations |
| Motionsqueeze: Neural Motion Feature | learning | for Video Understanding |
| MotionTrack: | learning | Robust Short-Term and Long-Term Motions for Multi-Object Tracking |
| Motivating Bilevel Approaches To Filter | learning | : A Case Study |
| Mouth Cavity Visual Analysis Based on Deep | learning | for Oropharyngeal Swab Robot Sampling |
| Move and remove: Multi-task | learning | for building simplification in vector maps with a graph convolutional neural network |
| Movie fill in the blank by joint | learning | from video and text with adaptive temporal attention |
| Movies tags extraction using deep | learning | |
| Moving in the Right Direction: A Regularization for Deep Metric | learning | |
| Moving Indoor: Unsupervised Video Depth | learning | in Challenging Environments |
| Moving Point Target Detection Based on Temporal Transient Disturbance | learning | in Low SNR |
| Moving Shadow Detection from Background Image and Deep | learning | |
| Moving vehicle tracking based on improved tracking- | learning | -detection algorithm |
| MozzieNet: A deep | learning | approach to efficiently detect malaria parasites in blood smear images |
| MPAF: Model Poisoning Attacks to Federated | learning | based on Fake Clients |
| MPCCL: Multiview predictive coding with contrastive | learning | for person re-identification |
| MPCCT: Multimodal vision-language | learning | paradigm with context-based compact Transformer |
| MPI-Flow: | learning | Realistic Optical Flow with Multiplane Images |
| MPPCANet: A Feedforward | learning | Strategy for Few-Shot Image Classification |
| MQDF Discriminative | learning | Based Offline Handwritten Chinese Character Recognition |
| MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary | learning | |
| MREKLM: A fast multiple empirical kernel | learning | machine |
| MRGAN: Multi-Rooted 3D Shape Representation | learning | with Unsupervised Part Disentanglement |
| MRS-MIL: Minimum reference set based multiple instance | learning | for automatic image annotation |
| MS-RadarFormer: A Transformer-Based Multi-Scale Deep | learning | Model for Radar Echo Extrapolation, The |
| MS2DG-Net: Progressive Correspondence | learning | via Multiple Sparse Semantics Dynamic Graph |
| MSCAF-Net: A General Framework for Camouflaged Object Detection via | learning | Multi-Scale Context-Aware Features |
| MSDN: Mutually Semantic Distillation Network for Zero-Shot | learning | |
| MSL-FER: Mirrored Self-Supervised | learning | for Facial Expression Recognition |
| MSLWENet: A Novel Deep | learning | Network for Lake Water Body Extraction of Google Remote Sensing Images |
| MSN: Mapless Short-Range Navigation Based on Time Critical Deep Reinforcement | learning | |
| MSResNet: Multiscale Residual Network via Self-Supervised | learning | for Water-Body Detection in Remote Sensing Imagery |
| MsVRL: Self-Supervised Multiscale Visual Representation | learning | via Cross-Level Consistency for Medical Image Segmentation |
| MT-e&R: NMEA Protocol-Assisted High-Accuracy Navigation Algorithm Based on GNSS Error Estimation Using Multitask | learning | |
| MT-emotieffnet for Multi-task Human Affective Behavior Analysis and | learning | from Synthetic Data |
| MT-GN: Multi-Task- | learning | -Based Graph Residual Network for Tropical Cyclone Intensity Estimation |
| MT-ORL: Multi-Task Occlusion Relationship | learning | |
| MT-VAE: | learning | Motion Transformations to Generate Multimodal Human Dynamics |
| MTFormer: Multi-task | learning | via Transformer and Cross-Task Reasoning |
| MTGAN: Extending Test Case set for Deep | learning | Image Classifier |
| Mti-net: Multi-scale Task Interaction Networks for Multi-task | learning | |
| MTJND: Multi-Task Deep | learning | Framework for Improved JND Prediction |
| MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task | learning | |
| MTLSegFormer: Multi-task | learning | with Transformers for Semantic Segmentation in Precision Agriculture |
| MuFeSaC: | learning | When to Use Which Feature Detector |
| MuffNet: Multi-Layer Feature Federation for Mobile Deep | learning | |
| MUGGLE: MUlti-Stream Group Gaze | learning | and Estimation |
| MugNet: Deep | learning | for Hyperspectral Image Classification Using Limited Samples |
| MuIT: An End-to-End Multitask | learning | Transformer |
| Multi angle optimal pattern-based deep | learning | for automatic facial expression recognition |
| multi camera unsupervised domain adaptation pipeline for object detection in cultural sites through adversarial | learning | and self-training, A |
| Multi Domain | learning | for Motion Magnification |
| Multi frame multi-head attention | learning | on deep features for recognizing Indian classical dance poses |
| Multi layer multi objective extreme | learning | machine |
| Multi Target Tracking from Drones by | learning | from Generalized Graph Differences |
| Multi Task-Based Facial Expression Synthesis with Supervision | learning | and Feature Disentanglement of Image Style |
| Multi-Agent Automated Machine | learning | |
| Multi-Agent Deep Collaboration | learning | for Face Alignment Under Different Perspectives |
| Multi-Agent Deep Reinforcement | learning | for Large-Scale Traffic Signal Control |
| Multi-Agent Deep Reinforcement | learning | for Online 3D Human Poses Estimation |
| Multi-Agent Deep Reinforcement | learning | Framework Strategized by Unmanned Aerial Vehicles for Multi-Vessel Full Communication Connection |
| Multi-agent dueling Q- | learning | with mean field and value decomposition |
| Multi-Agent Lifelong Implicit Neural | learning | |
| Multi-Agent Mix Hierarchical Deep Reinforcement | learning | for Large-Scale Fleet Management |
| Multi-Agent Reinforcement | learning | Based Frame Sampling for Effective Untrimmed Video Recognition |
| Multi-Agent Reinforcement | learning | for Intelligent V2G Integration in Future Transportation Systems |
| Multi-Agent Reinforcement | learning | for Slicing Resource Allocation in Vehicular Networks |
| Multi-Agent Reinforcement | learning | Method With Route Recorders for Vehicle Routing in Supply Chain Management, A |
| Multi-Agent Reinforcement | learning | With Policy Clipping and Average Evaluation for UAV-Assisted Communication Markov Game |
| Multi-agent system based on the fuzzy control and extreme | learning | machine for intelligent management in hybrid energy system |
| Multi-Agent Transfer Reinforcement | learning | With Multi-View Encoder for Adaptive Traffic Signal Control |
| Multi-agents system for breast tumour detection in mammography by deep | learning | pre-processing and watershed segmentation |
| Multi-Angle Point Cloud-VAE: Unsupervised Feature | learning | for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction |
| Multi-Annotator Probabilistic Active | learning | |
| Multi-atlas Segmentation with | learning | -Based Label Fusion |
| multi-attention dynamic graph convolution network with cost-sensitive | learning | approach to road-level and minute-level traffic accident prediction, A |
| Multi-attention Network for One Shot | learning | |
| Multi-Attribute Discriminative Representation | learning | for Prediction of Adverse Drug-Drug Interaction |
| Multi-Attribute | learning | With Highly Imbalanced Data |
| Multi-attributed Dictionary | learning | for Sparse Coding |
| multi-biometric system for continuous student authentication in e- | learning | platforms, A |
| Multi-Block Mixed Sample Semi-Supervised | learning | for SAR Target Recognition |
| Multi-branch and Multi-scale Attention | learning | for Fine-grained Visual Categorization |
| Multi-Branch Deep | learning | Framework for Land Scene Classification in Satellite Imagery |
| Multi-branch Network with Ensemble | learning | for Text Removal in the Wild |
| Multi-Category Image Super-Resolution with Convolutional Neural Network and Multi-Task | learning | |
| Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer | learning | |
| Multi-channel descriptors and ensemble of Extreme | learning | Machines for classification of remote sensing images |
| Multi-channel Image Registration of Cardiac MR Using Supervised Feature | learning | with Convolutional Encoder-decoder Network |
| Multi-Channel Multi-Loss Deep | learning | Based Compression Model of Color Images |
| Multi-channel multi-model feature | learning | for face recognition |
| Multi-Class Active | learning | by Uncertainty Sampling with Diversity Maximization |
| Multi-class active | learning | for image classification |
| Multi-Class Joint Subspace | learning | for Cross-Modal Retrieval |
| Multi-class | learning | for vessel characterisation in intravascular ultrasound |
| Multi-class Multi-annotator Active | learning | with Robust Gaussian Process for Visual Recognition |
| Multi-class Transductive | learning | Based on L_1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model |
| Multi-classification of Parkinson's Disease via Sparse Low-Rank | learning | |
| Multi-complementary and unlabeled | learning | for arbitrary losses and models |
| Multi-concept | learning | with large-scale multimedia lexicons |
| Multi-Connectivity Representation | learning | Network for Major Depressive Disorder Diagnosis |
| Multi-Context Aware Human Mobility Prediction Model Based on Motif-Preserving Travel Preference | learning | , A |
| Multi-criteria Selection of Rehearsal Samples for Continual | learning | |
| Multi-Crop Classification Using Feature Selection-Coupled Machine | learning | Classifiers Based on Spectral, Textural and Environmental Features |
| Multi-cue | learning | and visualization of unusual events |
| Multi-cue Zero-Shot | learning | with Strong Supervision |
| Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation | learning | |
| Multi-dataset fusion for multi-task | learning | on face attribute recognition |
| Multi-Dataset, Multitask | learning | of Egocentric Vision Tasks |
| Multi-Deformation Aware Attention | learning | for Concrete Structural Defect Classification |
| Multi-dimensional data modelling of video image action recognition and motion capture in deep | learning | framework |
| Multi-Dimensional Deep- | learning | -Based Evaporation Duct Height Prediction Model Derived from MAGIC Data, A |
| Multi-Direction Dictionary | learning | Based Depth Map Super-Resolution With Autoregressive Modeling |
| Multi-directional broad | learning | system for the unsupervised stereo matching method |
| Multi-Discipline Approach for | learning | Concepts |
| Multi-disnet: Machine | learning | -based Object Distance Estimation from Multiple Cameras |
| Multi-Domain and Multi-Task | learning | for Human Action Recognition |
| Multi-Domain Collaborative Transfer | learning | Method with Multi-Scale Repeated Attention Mechanism for Underwater Side-Scan Sonar Image Classification, A |
| Multi-Domain Few-Shot | learning | and Dataset for Agricultural Applications |
| Multi-Domain Incremental | learning | for Semantic Segmentation |
| Multi-Domain | learning | and Identity Mining for Vehicle Re-Identification |
| Multi-Domain | learning | for Accurate and Few-Shot Color Constancy |
| Multi-domain | learning | for Updating Face Anti-spoofing Models |
| Multi-Eigenspace | learning | for Video-Based Face Recognition |
| Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised | learning | |
| Multi-Exposure Image Fusion via Multi-Scale and Context-Aware Feature | learning | |
| Multi-feature Co- | learning | for Image Inpainting |
| Multi-feature fusion tracking algorithm based on peak-context | learning | |
| Multi-Feature Kernel Discriminant Dictionary | learning | for Classification in Alzheimer's Disease |
| Multi-Feature Kernel Discriminant Dictionary | learning | for Face Recognition |
| Multi-feature metric | learning | with knowledge transfer among semantics and social tagging |
| Multi-focus image fusion algorithm based on supervised | learning | for fully convolutional neural network |
| Multi-Focus Image Fusion Based on Dictionary | learning | with Rolling Guidance Filter |
| Multi-frame based adversarial | learning | approach for video surveillance |
| Multi-Frame Super Resolution with Deep Residual | learning | on Flow Registered Non-Integer Pixel Images |
| Multi-Frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained Sparse Bayesian | learning | |
| Multi-future Transformer: | learning | diverse interaction modes for behaviour prediction in autonomous driving |
| Multi-Garment Net: | learning | to Dress 3D People From Images |
| Multi-Grained Deep Feature | learning | for Robust Pedestrian Detection |
| Multi-grained Temporal Prototype | learning | for Few-shot Video Object Segmentation |
| Multi-Granularity Aggregation Transformer for Joint Video-Audio-Text Representation | learning | |
| Multi-Granularity Anchor-Contrastive Representation | learning | for Semi-Supervised Skeleton-Based Action Recognition |
| Multi-granularity episodic contrastive | learning | for few-shot learning |
| Multi-granularity episodic contrastive | learning | for few-shot learning |
| Multi-Granularity Mutual | learning | Network for Object Re-Identification |
| Multi-granularity Recurrent Attention Graph Neural Network for Few-shot | learning | |
| Multi-graph embedding discriminative correlation feature | learning | for image recognition |
| Multi-Graph Fusion and | learning | for RGBT Image Saliency Detection |
| Multi-graph multi-instance | learning | for object-based image and video retrieval |
| Multi-Hazard Exposure Mapping Using Machine | learning | for the State of Salzburg, Austria |
| Multi-Hazard Exposure Mapping Using Machine | learning | Techniques: A Case Study from Iran |
| Multi-Head Deep Metric | learning | Using Global and Local Representations |
| Multi-Hypergraph | learning | -Based Brain Functional Connectivity Analysis in fMRI Data |
| Multi-hypothesis representation | learning | for transformer-based 3D human pose estimation |
| multi-index | learning | approach for classification of high-resolution remotely sensed images over urban areas, A |
| Multi-Instance Deep | learning | : Discover Discriminative Local Anatomies for Bodypart Recognition |
| Multi-instance dictionary | learning | via multivariate performance measure optimization |
| Multi-instance Feature | learning | Based on Sparse Representation for Facial Expression Recognition |
| Multi-instance | learning | via instance-based and bag-based representation transformations |
| Multi-instance | learning | with relational information of instances |
| Multi-Instance Multi-Label | learning | Combining Hierarchical Context and its Application to Image Annotation |
| Multi-Instance Multi-Label | learning | for Image Classification with Large Vocabularies |
| Multi-Instance Multi-Label | learning | for Multi-Class Classification of Whole Slide Breast Histopathology Images |
| Multi-instance multi-label | learning | of natural scene images: via sparse coding and multi-layer neural network |
| Multi-institutional Collaborations for Improving Deep | learning | -based Magnetic Resonance Image Reconstruction Using Federated Learning |
| Multi-institutional Collaborations for Improving Deep | learning | -based Magnetic Resonance Image Reconstruction Using Federated Learning |
| Multi-interactive Feature | learning | and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation |
| Multi-Kernel Coupled Projections for Domain Adaptive Dictionary | learning | |
| Multi-kernel Diffusion CNNs for Graph-Based | learning | on Point Clouds |
| Multi-kernel metric | learning | for person re-identification |
| Multi-Kernel Online Reinforcement | learning | for Path Tracking Control of Intelligent Vehicles |
| Multi-Label Action Unit Detection on Multiple Head Poses with Dynamic Region | learning | |
| Multi-label Active | learning | Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling |
| Multi-Label Active | learning | for Image Classification |
| Multi-Label Active | learning | with Label Correlation for Image Classification |
| Multi-label Attention Map Assisted Deep Feature | learning | for Medical Image Classification |
| Multi-label chest X-ray image classification via category-wise residual attention | learning | |
| Multi-Label Classification of Fundus Images With Graph Convolutional Network and Self-Supervised | learning | |
| Multi-label Classification of Stem Cell Microscopy Images Using Deep | learning | |
| Multi-Label Continual | learning | Using Augmented Graph Convolutional Network |
| Multi-Label Deep Active | learning | with Label Correlation |
| Multi-Label Dictionary | learning | for Image Annotation |
| Multi-Label Emotion Detection via Emotion-Specified Feature Extraction and Emotion Correlation | learning | |
| Multi-label feature selection via latent representation | learning | and dynamic graph constraints |
| Multi-Label Image Classification via Category Prototype Compositional | learning | |
| Multi-label image classification with recurrently | learning | semantic dependencies |
| Multi-label Iterated | learning | for Image Classification with Label Ambiguity |
| Multi-label | learning | based deep transfer neural network for facial attribute classification |
| Multi-label | learning | based on instance correlation and feature redundancy |
| Multi-label | learning | based on iterative label propagation over graph |
| Multi-Label | learning | based Semi-Global Matching Forest |
| Multi-label | learning | based target detecting from multi-frame data |
| Multi-label | learning | by Image-to-Class distance for scene classification and image annotation |
| Multi-label | learning | for concept-oriented labels of product image data |
| Multi-label | learning | from Noisy Labels with Non-linear Feature Transformation |
| Multi-Label | learning | from Single Positive Labels |
| Multi-Label | learning | in the independent label sub-spaces |
| Multi-label | learning | of Part Detectors for Heavily Occluded Pedestrian Detection |
| Multi-label | learning | of part detectors for occluded pedestrian detection |
| Multi-label | learning | under feature extraction budgets |
| Multi-Label | learning | Using Mathematical Programming |
| Multi-label | learning | vector quantization algorithm |
| Multi-Label | learning | With Fused Multimodal Bi-Relational Graph |
| Multi-label | learning | with globAl densiTy fusiOn Mapping features |
| Multi-label | learning | with incomplete class assignments |
| Multi-label | learning | with Missing Labels |
| Multi-label | learning | with missing labels for image annotation and facial action unit recognition |
| Multi-label | learning | with Missing Labels Using Mixed Dependency Graphs |
| Multi-Label Multi-Task Deep | learning | for Behavioral Coding |
| Multi-Label Self-Supervised | learning | with Scene Images |
| Multi-label SVM active | learning | for image classification |
| Multi-Label Transfer | learning | With Sparse Representation |
| Multi-label video classification via coupling attentional multiple instance | learning | with label relation graph |
| Multi-Label Visual Feature | learning | with Attentional Aggregation |
| Multi-label Zero-Shot | learning | with Structured Knowledge Graphs |
| Multi-Label Zero-Shot | learning | With Transfer-Aware Label Embedding Projection |
| Multi-layer Dictionary | learning | for Image Classification |
| Multi-layer discriminative dictionary | learning | with locality constraint for image classification |
| Multi-layer manifold | learning | for deep non-negative matrix factorization-based multi-view clustering |
| Multi-Layer Model Based on Transformer and Deep | learning | for Traffic Flow Prediction, A |
| Multi-layer random walker image segmentation for overlapped cervical cells using probabilistic deep | learning | methods |
| Multi-layer semantic representation | learning | for image retrieval |
| Multi-level action detection via | learning | latent structure |
| Multi-level Adaptive Active | learning | for Scene Classification |
| Multi-level Attentive Adversarial | learning | with Temporal Dilation for Unsupervised Video Domain Adaptation |
| Multi-Level Cascade Sparse Representation | learning | for Small Data Classification |
| Multi-Level Common Space | learning | for Person Re-Identification |
| Multi-level Contrastive | learning | for Self-Supervised Vision Transformers |
| Multi-level deep | learning | based lung cancer classifier for classification based on tumour-node-metastasis approach |
| Multi-level Deep | learning | Vehicle Re-identification using Ranked-based Loss Functions |
| Multi-level Discriminative Dictionary | learning | towards Hierarchical Visual Categorization |
| Multi-Level Discriminative Dictionary | learning | With Application to Large Scale Image Classification |
| Multi-Level Domain Adaptive | learning | for Cross-Domain Detection |
| Multi-level feature fusion and multi-loss | learning | for person Re-Identification |
| Multi-level Feature | learning | for Contrastive Multi-view Clustering |
| Multi-level Feature | learning | for Face Recognition under Makeup Changes |
| Multi-level graph | learning | network for hyperspectral image classification |
| Multi-level | learning | and Classification of Multi-class Parts-Based Representations of U.S. Marine Postures, The |
| Multi-Level Policy and Reward-Based Deep Reinforcement | learning | Framework for Image Captioning |
| Multi-level progressive transfer | learning | for cervical cancer dose prediction |
| Multi-Level Representation | learning | for Deep Subspace Clustering |
| Multi-Level Representation | learning | with Semantic Alignment for Referring Video Object Segmentation |
| Multi-Level Second-Order Few-Shot | learning | |
| Multi-Level Semantic Feature Augmentation for One-Shot | learning | |
| Multi-Level Transitional Contrast | learning | for Personalized Image Aesthetics Assessment |
| Multi-Local-Task | learning | with Global Regularization for Object Tracking |
| Multi-manifold deep metric | learning | for image set classification |
| Multi-manifold LLE | learning | in pattern recognition |
| Multi-manifold metric | learning | for face recognition based on image sets |
| Multi-Manifold Positive and Unlabeled | learning | for Visual Analysis |
| Multi-marginal Contrastive | learning | for Multilabel Subcellular Protein Localization |
| Multi-metric domain adaptation for unsupervised transfer | learning | |
| Multi-metrics adaptively identifies backdoors in Federated | learning | |
| Multi-Modal and Multi-Domain Embedding | learning | for Fashion Retrieval and Analysis |
| Multi-modal and multi-layout discriminative | learning | for placental maturity staging |
| Multi-modal brain tumor segmentation via disentangled representation | learning | and region-aware contrastive learning |
| Multi-modal brain tumor segmentation via disentangled representation | learning | and region-aware contrastive learning |
| Multi-Modal Co- | learning | for Liver Lesion Segmentation on PET-CT Images |
| Multi-Modal Convolutional Dictionary | learning | |
| Multi-Modal Curriculum | learning | for Semi-Supervised Image Classification |
| Multi-modal Cycle-Consistent Generalized Zero-Shot | learning | |
| Multi-modal deep feature | learning | for RGB-D object detection |
| Multi-modal deep | learning | for landform recognition |
| Multi-modal Deep | learning | : Challenges and Applications |
| Multi-Modal Dictionary | learning | for Image Separation With Application in Art Investigation |
| Multi-Modal Distance Metric | learning | : A Bayesian Non-parametric Approach |
| Multi-modal Factorized Bilinear Pooling with Co-attention | learning | for Visual Question Answering |
| Multi-Modal Graph | learning | for Disease Prediction |
| Multi-Modal | learning | for AU Detection Based on Multi-Head Fused Transformers |
| Multi-Modal | learning | for Predicting the Genotype of Glioma |
| Multi-modal | learning | from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI |
| Multi-Modal | learning | With Generalizable Nonlinear Dimensionality Reduction |
| Multi-Modal | learning | with Missing Modality via Shared-Specific Feature Modelling |
| Multi-Modal Meta Multi-Task | learning | for Social Media Rumor Detection |
| Multi-modal metric | learning | for vehicle re-identification in traffic surveillance environment |
| Multi-modal motion dictionary | learning | for facial expression recognition |
| Multi-Modal Multi-Grained Embedding | learning | for Generalized Zero-Shot Video Classification |
| Multi-Modal Multi-Objective Contrastive | learning | for Sentinel-1/2 Imagery |
| Multi-Modal Multi-Scale Deep | learning | for Large-Scale Image Annotation |
| Multi-modal multiple kernel | learning | for accurate identification of Tourette syndrome children |
| Multi-Modal Representation | learning | with Text-Driven Soft Masks |
| Multi-modal Sign Language Spotting by Multi/one-shot | learning | |
| Multi-modal subspace | learning | with dropout regularization for cross-modal recognition and retrieval |
| Multi-modal Subspace | learning | with Joint Graph Regularization for Cross-Modal Retrieval |
| Multi-modal uniform deep | learning | for RGB-D person re-identification |
| Multi-modal Unsupervised Feature | learning | for RGB-D Scene Labeling |
| multi-modal, multi-atlas-based approach for Alzheimer detection via machine | learning | , A |
| Multi-modality fusion | learning | for the automatic diagnosis of optic neuropathy |
| Multi-modality medical image fusion based on separable dictionary | learning | and Gabor filtering |
| Multi-Mode Intra Prediction for | learning | -Based Image Compression |
| Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation | learning | |
| Multi-Moments in Time: | learning | and Interpreting Models for Multi-Action Video Understanding |
| Multi-Mutual Consistency Induced Transfer Subspace | learning | for Human Motion Segmentation |
| Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary | learning | |
| multi-net local | learning | framework for pattern recognition, A |
| Multi-Node Joint Power Allocation Algorithm Based on Hierarchical Game | learning | in Underwater Acoustic Sensor Networks |
| Multi-Object Tracking by Self-supervised | learning | Appearance Model |
| Multi-object tracking through | learning | relational appearance features and motion patterns |
| Multi-Object Tracking Using Online Metric | learning | with Long Short-Term Memory |
| Multi-Object Tracking, Neural Networks, | learning | |
| Multi-Objective Based Spatio-Temporal Feature Representation | learning | Robust to Expression Intensity Variations for Facial Expression Recognition |
| Multi-objective convolutional | learning | for face labeling |
| Multi-objective | learning | of Relevance Vector Machine classifiers with multi-resolution kernels |
| Multi-Objective Multi-Satellite Imaging Mission Planning Algorithm for Regional Mapping Based on Deep Reinforcement | learning | |
| multi-objective optimisation approach for class imbalance | learning | , A |
| Multi-order similarity | learning | for multi-view spectral clustering |
| Multi-output | learning | for Camera Relocalization |
| Multi-Paced Dictionary | learning | for cross-domain retrieval and recognition |
| Multi-patch embedding canonical correlation analysis for multi-view feature | learning | |
| Multi-patch | learning | : Looking More Pixels in the Training Phase |
| Multi-Path | learning | for Object Pose Estimation Across Domains |
| Multi-person Tracking Based on Body Parts and Online Random Ferns | learning | of Thermal Images |
| Multi-Perspective Features | learning | for Face Anti-Spoofing |
| Multi-Perspective LSTM for Joint Visual Representation | learning | |
| Multi-projection deep | learning | network for segmentation of 3D medical images |
| Multi-Prototype Few-shot | learning | in Histopathology |
| Multi-proxy feature | learning | for robust fine-grained visual recognition |
| Multi-purpose Chestnut Clusters Detection Using Deep | learning | : A Preliminary Approach |
| Multi-region saliency-aware | learning | for cross-domain placenta image segmentation |
| Multi-relational | learning | Approach for Knowledge Extraction in in Vitro Fertilization Domain, A |
| Multi-resolution dictionary | learning | for face recognition |
| Multi-Resolution Segmentation of Solar Photovoltaic Systems Using Deep | learning | |
| Multi-scale 2D Representation | learning | for weakly-supervised moment retrieval |
| Multi-Scale Adaptive Task Attention Network for Few-Shot | learning | |
| Multi-Scale Adversarial Cross-Domain Detection with Robust Discriminative | learning | |
| Multi-scale and Cross-scale Contrastive | learning | for Semantic Segmentation |
| Multi-Scale and Multi-Task Deep | learning | Framework for Automatic Road Extraction |
| Multi-Scale Attention | learning | Network for Facial Expression Recognition |
| Multi-scale Attention-based Multiple Instance | learning | for Classification of Multi-gigapixel Histology Images |
| Multi-scale blocks based image emotion classification using multiple instance | learning | |
| Multi-Scale Cascading Network with Compact Feature | learning | for RGB-Infrared Person Re-Identification |
| Multi-scale Comparison Network for Few-shot | learning | |
| Multi-Scale Contourlet Knowledge Guide | learning | Segmentation |
| Multi-scale Contrastive | learning | for Complex Scene Generation |
| Multi-Scale Correspondence | learning | for Person Image Generation |
| Multi-scale deep feature | learning | network with bilateral filtering for SAR image classification |
| Multi-scale Deep | learning | Architectures for Person Re-identification |
| Multi-scale Deep | learning | for Gesture Detection and Localization |
| Multi-Scale Deep Pixel Distribution | learning | for Concrete Crack Detection |
| Multi-Scale Deep Reinforcement | learning | for Real-Time 3D-Landmark Detection in CT Scans |
| Multi-Scale Deep Residual | learning | -Based Single Image Haze Removal via Image Decomposition |
| Multi-Scale end-to-End | learning | for Point Cloud Geometry Compression |
| Multi-Scale Explainable Feature | learning | for Pathological Image Analysis Using Convolutional Neural Networks |
| Multi-Scale Forest Above-Ground Biomass Mapping Approach: Employing a Step-by-Step Spatial Downscaling Method with Bias-Corrected Ensemble Machine | learning | , A |
| Multi-scale GAN with residual image | learning | for removing heterogeneous blur |
| Multi-Scale LBP Texture Feature | learning | Network for Remote Sensing Interpretation of Land Desertification |
| Multi-Scale | learning | for Low-Resolution Person Re-Identification |
| Multi-Scale | learning | Framework for Visual Categorization, A |
| multi-scale | learning | method with dilated convolutional network for concrete surface cracks detection, A |
| Multi-Scale Metric | learning | for Few-Shot Learning |
| Multi-Scale Metric | learning | for Few-Shot Learning |
| Multi-scale microstructure binary pattern extraction and | learning | for image representation |
| Multi-Scale Patch-Based Representation | learning | for Image Anomaly Detection and Segmentation |
| Multi-Scale Raft: Combining Hierarchical Concepts for | learning | -Based Optical Flow Estimation |
| Multi-scale Relation Network for Few-shot | learning | Based on Meta-learning |
| Multi-scale Relation Network for Few-shot | learning | Based on Meta-learning |
| Multi-Scale Representation | learning | on Hypergraph for 3D Shape Retrieval and Recognition |
| Multi-Scale Residential Areas Matching Method Using Relevance Vector Machine and Active | learning | , A |
| Multi-Scale Response Analysis and Displacement Prediction of Landslides Using Deep | learning | with JTFA: A Case Study in the Three Gorges Reservoir, China |
| Multi-Scale Selective Residual | learning | for Non-Homogeneous Dehazing |
| Multi-scale self-supervised representation | learning | with temporal alignment for multi-rate time series modeling |
| Multi-scale stacked sequential | learning | |
| Multi-Scale Structured Dictionary | learning | for 3-D Point Cloud Attribute Compression |
| Multi-Scale Temporal Cues | learning | for Video Person Re-Identification |
| Multi-scale visual attention for attribute disambiguation in zero-shot | learning | |
| Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding | learning | |
| multi-scenario text generation method based on meta reinforcement | learning | , A |
| multi-scene deep | learning | model for image aesthetic evaluation, A |
| Multi-semantic hypergraph neural network for effective few-shot | learning | |
| Multi-semantic long-range dependencies capturing for efficient video representation | learning | |
| Multi-Semantic Path Representation | learning | for Travel Time Estimation |
| Multi-Similarity Loss With General Pair Weighting for Deep Metric | learning | |
| Multi-source Adaptive | learning | for Fast Control of Prosthetics Hand |
| Multi-Source Collaborative Contrastive | learning | for Decentralized Domain Adaptation |
| Multi-Source Data and Machine | learning | -Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19 |
| Multi-Source Data Fusion Based on Ensemble | learning | for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia |
| Multi-Source Data Fusion Method to Improve the Accuracy of Precipitation Products: A Machine | learning | Algorithm, A |
| Multi-source Deep | learning | for Human Pose Estimation |
| Multi-Source Domain Adaptation with Collaborative | learning | for Semantic Segmentation |
| Multi-source | learning | for Skeleton-based Action Recognition Using Deep LSTM Networks |
| Multi-Source Multi-Label | learning | for User Profiling in Online Games |
| Multi-Source Precipitation Data Merging for Heavy Rainfall Events Based on Cokriging and Machine | learning | Methods |
| Multi-Source Remote Sensing Pretraining Based on Contrastive Self-Supervised | learning | |
| Multi-source transfer | learning | based on label shared subspace |
| Multi-source Transfer | learning | for Deep Reinforcement Learning |
| Multi-source Transfer | learning | for Deep Reinforcement Learning |
| Multi-species Seagrass Detection Using Semi-supervised | learning | |
| Multi-Spectral Image Classification Based on an Object-Based Active | learning | Approach |
| Multi-Spectral Low-Rank Structured Dictionary | learning | for Face Recognition |
| Multi-stage all-zero block detection for HEVC coding using machine | learning | |
| Multi-stage and multi-branch network with similar expressions label distribution | learning | for facial expression recognition |
| Multi-Stage Asynchronous Federated | learning | With Adaptive Differential Privacy |
| Multi-stage Contextual Deep | learning | for Pedestrian Detection |
| Multi-Stage Convolutional Broad | learning | with Block Diagonal Constraint for Hyperspectral Image Classification |
| Multi-stage Deep | learning | Technique for Improving Traffic Sign Recognition |
| Multi-Stage, Multi-Feature Machine | learning | Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions, A |
| Multi-start Method with Prior | learning | for Image Registration |
| Multi-State Choice Automata Model for Expedient | learning | in Random Environment |
| Multi-step Machine | learning | Approach for Short Axis MR Images Segmentation, A |
| Multi-Step Reinforcement | learning | for Single Image Super-Resolution |
| multi-strategy contrastive | learning | framework for weakly supervised semantic segmentation, A |
| Multi-stream CNN: | learning | representations based on human-related regions for action recognition |
| Multi-stream Fusion for Class Incremental | learning | in Pill Image Classification |
| Multi-Stream Sequence | learning | Framework for Human Interaction Recognition, A |
| Multi-style | learning | for adaptation of perception intelligence in home service robots |
| Multi-SVM Multi-instance | learning | for Object-Based Image Retrieval |
| Multi-target detection in CCTV footage for tracking applications using deep | learning | techniques |
| Multi-Target Domain Adaptation with Collaborative Consistency | learning | |
| Multi-Target Regression via Robust Low-Rank | learning | |
| Multi-Target Tracking by | learning | Class-Specific and Instance-Specific Cues |
| Multi-target tracking by | learning | local-to-global trajectory models |
| Multi-Target Tracking by Online | learning | a CRF Model of Appearance and Motion Patterns |
| Multi-target tracking by online | learning | of non-linear motion patterns and robust appearance models |
| Multi-task Adversarial Network for Disentangled Feature | learning | |
| Multi-Task Collaboration Deep | learning | Framework for Infrared Precipitation Estimation |
| Multi-Task Consistency for Active | learning | |
| Multi-task contrastive | learning | for automatic CT and X-ray diagnosis of COVID-19 |
| Multi-task Curriculum Framework for Open-set Semi-supervised | learning | |
| Multi-task Curriculum Transfer Deep | learning | of Clothing Attributes |
| Multi-task Deep | learning | for Cerebrovascular Disease Classification and MRI-to-PET Translation |
| Multi-Task Deep | learning | for Image Segmentation Using Recursive Approximation Tasks |
| Multi-task Deep | learning | for No-reference Screen Content Image Quality Assessment |
| Multi-Task Deep | learning | for Real-Time 3D Human Pose Estimation and Action Recognition |
| Multi-task deep | learning | with optical flow features for self-driving cars |
| Multi-Task Deep Neural Network for Multi-Label | learning | |
| Multi-Task Deep Relative Attribute | learning | for Visual Urban Perception |
| Multi-Task Distillation: Towards Mitigating the Negative Transfer in Multi-Task | learning | |
| Multi-Task Distributed | learning | Using Vision Transformer With Random Patch Permutation |
| Multi-task face analyses through adversarial | learning | |
| Multi-task Facial Activity Patterns | learning | for micro-expression recognition using Joint Temporal Local Cube Binary Pattern |
| Multi-task feature | learning | -based improved supervised descent method for facial landmark detection |
| Multi-task few-shot | learning | with composed data augmentation for image classification |
| Multi-Task Fusion Deep | learning | Model for Short-Term Intersection Operation Performance Forecasting |
| Multi-Task Hypergraphs for Semi-supervised | learning | using Earth Observations |
| Multi-Task Interaction | learning | for Spatiospectral Image Super-Resolution |
| Multi-Task | learning | Approach for Human Activity Segmentation and Ergonomics Risk Assessment, A |
| Multi-Task | learning | Based Traditional Mongolian Words Recognition |
| Multi-Task | learning | based Video Anomaly Detection with Attention |
| Multi-Task | learning | By A Top-Down Control Network |
| Multi-task | learning | by Maximizing Statistical Dependence |
| Multi-Task | learning | for 2D Phase Unwrapping in Fringe Projection, A |
| Multi-Task | learning | for Acoustic Event Detection Using Event and Frame Position Information |
| Multi-Task | learning | for Blind Source Separation |
| Multi-Task | learning | for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information |
| Multi-task | learning | for captioning images with novel words |
| Multi-Task | learning | for Dense Prediction Tasks: A Survey |
| Multi-task | learning | for gait-based identity recognition and emotion recognition using attention enhanced temporal graph convolutional network |
| Multi-task | learning | for Human Affect Prediction with Auditory-Visual Synchronized Representation |
| Multi-task | learning | for natural language processing in the 2020s: Where are we going? |
| Multi-task | learning | for object keypoints detection and classification |
| Multi-task | learning | for one-class SVM with additional new features |
| Multi-Task | learning | for Predicting Parkinson's Disease Based on Medical Imaging Information |
| Multi-Task | learning | for Segmentation of Building Footprints with Deep Neural Networks |
| Multi-task | learning | for simultaneous script identification and keyword spotting in document images |
| Multi-task | learning | for Simultaneous Video Generation and Remote Photoplethysmography Estimation |
| Multi-task | learning | for Supervised and Unsupervised Classification of Grocery Images |
| Multi-Task | learning | for UAV Aerial Object Detection in Foggy Weather Condition |
| Multi-task | learning | for video anomaly detection |
| Multi-Task | learning | for Video Surveillance with Limited Data |
| Multi-task | learning | Framework for Emotion Recognition In-the-wild |
| Multi-Task | learning | Framework for Emotion Recognition Using 2D Continuous Space, A |
| Multi-Task | learning | Framework for Head Pose Estimation under Target Motion, A |
| Multi-task | learning | Framework for Joint Disease Risk Prediction and Comorbidity Discovery, A |
| Multi-Task | learning | Framework for Motion Estimation and Dynamic Scene Deblurring |
| multi-task | learning | method for extraction of newly constructed areas based on bi-temporal hyperspectral images, A |
| Multi-task | learning | of Cascaded CNN for Facial Attribute Classification |
| Multi-Task | learning | of Depth from Tele and Wide Stereo Image Pairs |
| Multi-Task | learning | of Emotion Recognition and Facial Action Unit Detection with Adaptively Weights Sharing Network |
| Multi-task | learning | of Facial Landmarks and Expression |
| Multi-Task | learning | of Hierarchical Vision-Language Representation |
| Multi-Task | learning | of Relative Height Estimation and Semantic Segmentation from Single Airborne RGB Images |
| multi-task | learning | strategy for unsupervised clustering via explicitly separating the commonality, A |
| Multi-task | learning | to rank for web search |
| Multi-task | learning | using GNet features and SVM classifier for signature identification |
| Multi-task | learning | Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections |
| Multi-task | learning | Using Uncertainty to Weigh Losses for Scene Geometry and Semantics |
| Multi-task | learning | using variational auto-encoder for sentiment classification |
| Multi-task | learning | via Non-sparse Multiple Kernel Learning |
| Multi-task | learning | via Non-sparse Multiple Kernel Learning |
| Multi-Task | learning | via Scale Aware Feature Pyramid Networks and Effective Joint Head |
| Multi-task | learning | with Attention for End-to-end Autonomous Driving |
| Multi-Task | learning | With Coarse Priors for Robust Part-Aware Person Re-Identification |
| Multi-Task | learning | with Compressible Features for Collaborative Intelligence |
| Multi-task | learning | with deformable convolution |
| Multi-task | learning | with Future States for Vision-based Autonomous Driving |
| Multi-Task | learning | with Knowledge Distillation for Dense Prediction |
| Multi-Task | learning | with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification |
| Multi-Task | learning | with Low Rank Attribute Embedding for Person Re-Identification |
| Multi-Task | learning | with Multi-Query Transformer for Dense Prediction |
| Multi-task | learning | with over-sampled time-series representation of a trajectory for traffic motion pattern recognition |
| Multi-Task | learning | , Multiple Tasks, Transfer Learning, Domain Adaption |
| Multi-Task | learning | , Multiple Tasks, Transfer Learning, Domain Adaption |
| Multi-task mid-level feature | learning | for micro-expression recognition |
| Multi-Task Multi-Domain | learning | for Digital Staining and Classification of Leukocytes |
| Multi-Task Multi-Sample | learning | |
| Multi-Task Occlusion | learning | for Real-Time Visual Object Tracking |
| Multi-Task Rank | learning | for Image Quality Assessment |
| Multi-Task Rank | learning | for Visual Saliency Estimation |
| Multi-task Self-Supervised Visual | learning | |
| Multi-Task Self-Training for | learning | General Representations |
| Multi-task Sparse | learning | with Beta Process Prior for Action Recognition |
| Multi-Task Transfer Methods to Improve One-Shot | learning | for Multimedia Event Detection |
| Multi-Task Travel Route Planning With a Flexible Deep | learning | Framework |
| Multi-Task Y-Shaped Graph Neural Network for Point Cloud | learning | in Autonomous Driving |
| Multi-Temporal Sentinel-1 and Sentinel-2 Data for Orchards Discrimination in Khairpur District, Pakistan Using Spectral Separability Analysis and Machine | learning | Classification |
| Multi-Timescale Actor-Critic | learning | for Computing Resource Management With Semi-Markov Renewal Process Mobility |
| Multi-Type Features Embedded Deep | learning | Framework for Residential Building Prediction |
| Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement | learning | Approach |
| Multi-utility | learning | : Structured-Output Learning with Multiple Annotation-Specific Loss Functions |
| Multi-utility | learning | : Structured-Output Learning with Multiple Annotation-Specific Loss Functions |
| Multi-VAE: | learning | Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering |
| Multi-Valued and Universal Binary Neurons: Mathematical Model, | learning | , Networks, Application to Image Processing and Pattern Recognition |
| Multi-Variable Sentinel-2 Random Forest Machine | learning | Model Approach to Predicting Perennial Ryegrass Biomass in Commercial Dairy Farms in Southeast Australia, A |
| Multi-Vehicle Collaborative | learning | for Trajectory Prediction With Spatio-Temporal Tensor Fusion |
| Multi-View 3D Shape Recognition via Correspondence-Aware Deep | learning | |
| Multi-View Action Recognition using Contrastive | learning | |
| Multi-View Autoencoder for Image Feature | learning | with Structured Nonnegative Low Rank |
| Multi-view clustering via efficient representation | learning | with anchors |
| Multi-view clustering via joint feature selection and partially constrained cluster label | learning | |
| Multi-view clustering via pseudo-label guide | learning | and latent graph structure recovery |
| Multi-view Consistency as Supervisory Signal for | learning | Shape and Pose Prediction |
| Multi-View Consistency Contrastive | learning | With Hard Positives for Sleep Signals |
| Multi-view daily action recognition based on Hooke balanced matrix and broad | learning | system |
| Multi-View Deep Gaussian Processes for Supervised | learning | |
| Multi-view deep metric | learning | for image classification |
| Multi-view dynamic texture | learning | |
| Multi-view face pose estimation based on supervised ISA | learning | |
| Multi-view feature engineering and | learning | |
| Multi-View Features Joint | learning | with Label and Local Distribution Consistency for Point Cloud Classification |
| Multi-View Geometric Mean Metric | learning | for Kinship Verification |
| Multi-View Graph Autoencoder for Unsupervised Graph Representation | learning | |
| Multi-View Intact Space | learning | |
| Multi-View Label Prediction for Unsupervised | learning | Person Re-Identification |
| Multi-View | learning | a Decomposable Affinity Matrix via Tensor Self-Representation on Grassmann Manifold |
| Multi-View | learning | Approach to Deception Detection, A |
| Multi-view | learning | for benign epilepsy with centrotemporal spikes |
| Multi-view | learning | with batch mode active selection for image retrieval |
| Multi-View | learning | With Incomplete Views |
| Multi-View | learning | , Co-Clustering |
| Multi-View | learning | , Transfer from Other View |
| Multi-View Low-Rank Dictionary | learning | for Image Classification |
| Multi-view manifold | learning | with locality alignment |
| Multi-View Maximum Margin Clustering With Privileged Information | learning | |
| Multi-View Metric | learning | for Multi-Label Image Classification |
| Multi-View Multi-Instance | learning | Based on Joint Sparse Representation and Multi-View Dictionary Learning |
| Multi-View Multi-Instance | learning | Based on Joint Sparse Representation and Multi-View Dictionary Learning |
| Multi-view predictive latent space | learning | |
| Multi-view prototype-based disambiguation for partial label | learning | |
| Multi-View Representation | learning | for Multi-View Action Recognition |
| Multi-View Representation | learning | With Deep Gaussian Processes |
| Multi-View Robust Feature | learning | for Data Clustering |
| Multi-view self-supervised | learning | for 3D facial texture reconstruction from single image |
| Multi-view Spectral Clustering via Integrating Label and Data Graph | learning | |
| Multi-View Subspace Clustering via Simultaneously | learning | the Representation Tensor and Affinity Matrix |
| Multi-view subspace | learning | via bidirectional sparsity |
| Multi-View Synthesis and Analysis Dictionaries | learning | for Classification |
| Multi-View Texture | learning | for Face Super-Resolution |
| Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph | learning | |
| Multi-View Vehicle Detection Based on Fusion Part Model With Active | learning | |
| Multi-view visual speech recognition based on multi task | learning | |
| multi-view-CNN framework for deep representation | learning | in image classification, A |
| Multi-Year Time Series Transfer | learning | : Application of Early Crop Classification |
| Multiaccess Edge Integrated Networking for Internet of Vehicles: A Blockchain-Based Deep Compressed Cooperative | learning | Approach |
| Multiagent Reinforcement | learning | for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC): Methodology and Large-Scale Application on Downtown Toronto |
| Multiclass feature | learning | for hyperspectral image classification: Sparse and hierarchical solutions |
| Multiclass Land Cover Mapping from Historical Orthophotos Using Domain Adaptation and Spatio-Temporal Transfer | learning | |
| Multiclass Land Use and Land Cover Classification of Andean Sub-Basins in Colombia with Sentinel-2 and Deep | learning | |
| multiclass TrAdaBoost transfer | learning | algorithm for the classification of mobile lidar data, A |
| Multiclass transfer | learning | from unconstrained priors |
| Multidimensional Belief Quantification for Label-Efficient Meta- | learning | |
| Multidimensional Evaluation Methods for Deep | learning | Models in Target Detection for SAR Images |
| Multidimensional Feature Representation and | learning | for Robust Hand-Gesture Recognition on Commercial Millimeter-Wave Radar |
| Multidirectional Face Tracking with 3D Face Model and | learning | Half-Face Template |
| Multiencoder-based federated intelligent deep | learning | model for brain tumor segmentation |
| Multifeature Dictionary | learning | for Collaborative Representation Classification of Hyperspectral Imagery |
| Multigradient: a new neural network | learning | algorithm for pattern classification |
| Multigraph Representation for Improved Unsupervised/Semi-supervised | learning | of Human Actions, A |
| Multigraph-Based Query-Independent | learning | for Video Search |
| MultiK-MHKS: A Novel Multiple Kernel | learning | Algorithm |
| MultiKernel Domain Adaptation Method for Unsupervised Transfer | learning | on Cross-Source and Cross-Region Remote Sensing Data Classification, A |
| Multilabel Image Classification Via High-Order Label Correlation Driven Active | learning | |
| Multilabel Image Classification with Deep Transfer | learning | for Decision Support on Wildfire Response |
| Multilabel | learning | based adaptive graph convolutional network for human parsing |
| Multilayer Projective Dictionary Pair | learning | and Sparse Autoencoder for PolSAR Image Classification |
| Multilayer Soil Moisture Mapping at a Regional Scale from Multisource Data via a Machine | learning | Method |
| multilevel approach for | learning | from labeled and unlabeled data on graphs, A |
| Multilevel depression status detection based on fine-grained prompt | learning | |
| Multilevel Feature Aggregated Network with Instance Contrastive | learning | Constraint for Building Extraction |
| Multilevel triplet deep | learning | model for person re-identification |
| Multilinear Autoencoder for 3D Face Model | learning | |
| Multilingual articulatory features augmentation | learning | |
| Multimedia Analysis by | learning | |
| Multimedia Monitoring System of Obstructive Sleep Apnea via a Deep Active | learning | Model |
| Multimedia retrieval by deep hashing with multilevel similarity | learning | |
| Multimedia Retrieval via Deep | learning | to Rank |
| Multimodadl Graph Signal Denoising With Simultaneous Graph | learning | using Deep Algorithm Unrolling |
| Multimodal biometric recognition systems using deep | learning | based on the finger vein and finger knuckle print fusion |
| Multimodal Clustering Networks for Self-supervised | learning | from Unlabeled Videos |
| Multimodal Contrastive | learning | and Tabular Attention for Automated Alzheimer's Disease Prediction |
| Multimodal Contrastive Training for Visual Representation | learning | |
| Multimodal Deep | learning | Approach for Typhoon Track Forecast by Fusing CNN and Transformer Structures, A |
| Multimodal Deep | learning | for Advanced Driving Systems |
| Multimodal Deep | learning | for Rice Yield Prediction Using UAV-Based Multispectral Imagery and Weather Data |
| Multimodal Deep | learning | for Robust Recognizing Maritime Imagery in the Visible and Infrared Spectrums |
| Multimodal deep | learning | for solar radio burst classification |
| Multimodal Deep | learning | Framework for Enhanced Accuracy of UAV Detection |
| Multimodal Deep | learning | Framework for Mental Disorder Recognition |
| multimodal deep | learning | framework using local feature representations for face recognition, A |
| Multimodal Detection of Engagement in Groups of Children Using Rank | learning | |
| Multimodal emotion recognition using cross modal audio-video fusion with attention and deep metric | learning | |
| Multimodal emotion recognition using deep | learning | architectures |
| Multimodal End-to-End | learning | for Autonomous Steering in Adverse Road and Weather Conditions |
| Multimodal face aging framework via | learning | disentangled representation |
| Multimodal Feature Fusion and Knowledge-Driven | learning | via Experts Consult for Thyroid Nodule Classification |
| Multimodal Fusion-Based Deep | learning | Network for Effective Diagnosis of Alzheimer's Disease |
| Multimodal Ground-Based Remote Sensing Cloud Classification via | learning | Heterogeneous Deep Features |
| Multimodal Image Denoising Based on Coupled Dictionary | learning | |
| Multimodal Information Bottleneck: | learning | Minimal Sufficient Unimodal and Multimodal Representations |
| Multimodal | learning | and Applications |
| Multimodal | learning | and Applications Workshop |
| Multimodal | learning | for facial expression recognition |
| Multimodal | learning | for Human Action Recognition Via Bimodal/Multimodal Hybrid Centroid Canonical Correlation Analysis |
| Multimodal | learning | for multi-label image classification |
| Multimodal | learning | for Sign Language Recognition |
| Multimodal | learning | for Temporally Coherent Talking Face Generation With Articulator Synergy |
| Multimodal | learning | in Loosely-Organized Web Images |
| Multimodal | learning | of Geometry-Preserving Binary Codes for Semantic Image Retrieval |
| Multimodal | learning | of Social Image Representation by Exploiting Social Relations |
| Multimodal | learning | using Optimal Transport for Sarcasm and Humor Detection |
| Multimodal | learning | With Transformers: A Survey |
| Multimodal Machine | learning | : A Survey and Taxonomy |
| Multimodal Multi-label Transfer | learning | for Early Diagnosis of Alzheimer's Disease |
| Multimodal Multi-Stream Deep | learning | for Egocentric Activity Recognition |
| Multimodal Multipart | learning | for Action Recognition in Depth Videos |
| Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse | learning | |
| Multimodal Parameter-Efficient Few-Shot Class Incremental | learning | |
| Multimodal Prototypical Networks for Few-shot | learning | |
| Multimodal Reaction: Information Modulation for Cross-Modal Representation | learning | |
| Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature | learning | model |
| Multimodal Segmentation of Optic Disc and Cup From SD-OCT and Color Fundus Photographs Using a Machine- | learning | Graph-Based Approach |
| Multimodal semi-supervised image classification by combining tag refinement, graph-based | learning | and support vector regression |
| Multimodal semi-supervised | learning | for image classification |
| Multimodal System for Object | learning | , A |
| Multimodal Task-Driven Dictionary | learning | for Image Classification |
| Multimodal Vehicular Trajectory Prediction With Inverse Reinforcement | learning | and Risk Aversion at Urban Unsignalized Intersections |
| Multimodal Video Concept Detection via Bag of Auditory Words and Multiple Kernel | learning | |
| Multimodal Video Indexing (MVI): A New Method Based on Machine | learning | and Semi-Automatic Annotation on Large Video Collections |
| Multimodal Visual Concept | learning | with Weakly Supervised Techniques |
| Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion | learning | |
| Multimodal weighted dictionary | learning | |
| Multimodality Pain and related Behaviors Recognition based on Attention | learning | |
| Multimodaltrace: Deepfake Detection using Audiovisual Representation | learning | |
| MultiNet: Multi-Modal Multi-Task | learning | for Autonomous Driving |
| Multinomial Distribution | learning | for Effective Neural Architecture Search |
| Multiobjective | learning | in the Model Space for Time Series Classification |
| Multipart Vehicle Detection Using Symmetry-Derived Analysis and Active | learning | |
| Multipe/Single-View Human Action Recognition via Part-Induced Multitask Structural | learning | |
| Multiple Anchor | learning | for Visual Object Detection |
| Multiple Class Multiple-instance | learning | And Its Application To Image Categorization |
| Multiple Classifier | learning | by Sampling System for White Blood Cells Segmentation, A |
| Multiple Clustered Instance | learning | for Histopathology Cancer Image Classification, Segmentation and Clustering |
| Multiple Competitive | learning | Network Fusion for Object Classification |
| Multiple Component | learning | for Object Detection |
| multiple criteria active | learning | method for support vector regression, A |
| Multiple Criteria for Evaluating Machine | learning | Algorithms for Land Cover Classification from Satellite Data |
| Multiple deep features | learning | for object retrieval in surveillance videos |
| Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep | learning | architectures |
| Multiple face detection based on machine | learning | |
| Multiple face tracking and recognition with identity-specific localized metric | learning | |
| Multiple Facial Action Unit recognition by | learning | joint features and label relations |
| Multiple Facial Attributes Estimation Based on Weighted Heterogeneous | learning | |
| Multiple feature fusion by subspace | learning | |
| Multiple Feature Hashing | learning | for Large-Scale Remote Sensing Image Retrieval |
| Multiple Feature | learning | for Hyperspectral Image Classification |
| Multiple features | learning | via rotation strategy |
| Multiple Human Tracking Based on Multi-view Upper-Body Detection and Discriminative | learning | |
| Multiple Instance Active | learning | for Object Detection |
| Multiple Instance Captioning: | learning | Representations from Histopathology Textbooks and Articles |
| Multiple instance deep | learning | for weakly-supervised visual object tracking |
| Multiple Instance Dictionary | learning | for Activity Representation |
| Multiple Instance Dictionary | learning | using Functions of Multiple Instances |
| Multiple Instance Differentiation | learning | for Active Object Detection |
| Multiple Instance | learning | |
| Multiple Instance | learning | Approach toward Optimal Classification of Pathology Slides, A |
| Multiple Instance | learning | Based Method for Similar Handwritten Chinese Characters Discrimination |
| Multiple instance | learning | based on positive instance selection and bag structure construction |
| Multiple Instance | learning | Convolutional Neural Networks for Fine-Grained Aircraft Recognition |
| Multiple Instance | learning | Convolutional Neural Networks for object recognition |
| Multiple Instance | learning | for Behavioral Coding |
| Multiple Instance | learning | for Breast Cancer Magnetic Resonance Imaging |
| Multiple instance | learning | for classifying histopathological images of the breast cancer using residual neural network |
| Multiple Instance | learning | for Emotion Recognition Using Physiological Signals |
| Multiple instance | learning | for soft bags via top instances |
| Multiple Instance | learning | Framework with Masked Hard Instance Mining for Whole Slide Image Classification |
| Multiple instance | learning | from multiple cameras |
| Multiple instance | learning | from similarity-confidence bags |
| Multiple Instance | learning | of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure |
| Multiple instance | learning | on deep features for weakly supervised object detection with extreme domain shifts |
| Multiple instance | learning | tracking method with local sparse representation |
| Multiple instance | learning | via distance metric optimization |
| Multiple Instance | learning | via Iterative Self-Paced Supervised Contrastive Learning |
| Multiple Instance | learning | via Iterative Self-Paced Supervised Contrastive Learning |
| Multiple instance | learning | with bag dissimilarities |
| Multiple Instance | learning | with Genetic Pooling for medical data analysis |
| Multiple Instance | learning | with multiple positive and negative target concepts |
| Multiple Instance | learning | with Response-Optimized Random Forests |
| Multiple instance | learning | : A survey of problem characteristics and applications |
| Multiple Instance Metric | learning | from Automatically Labeled Bags of Faces |
| Multiple instance subspace | learning | via partial random projection tree for local reflection symmetry in natural images |
| Multiple Kernel | learning | Algorithm for Cell Nucleus Classification of Renal Cell Carcinoma, A |
| Multiple Kernel | learning | Approach to Joint Multi-class Object Detection, A |
| Multiple Kernel | learning | Approach to Multi-Modal Pedestrian Classification, A |
| Multiple kernel | learning | based modality classification for medical images |
| Multiple Kernel | learning | Based Multi-view Spectral Clustering |
| Multiple Kernel | learning | Based on Discriminative Kernel Clustering for Hyperspectral Band Selection |
| Multiple Kernel | learning | for Dimensionality Reduction |
| Multiple Kernel | learning | for Hyperspectral Image Classification: A Review |
| Multiple kernel | learning | for image indexing |
| Multiple Kernel | learning | for Remote Sensing Image Classification |
| Multiple Kernel | learning | for Sparse Representation-Based Classification |
| Multiple Kernel | learning | for Spectral Dimensionality Reduction |
| Multiple Kernel | learning | for Visual Object Recognition: A Review |
| Multiple Kernel | learning | framework for detecting altered fingerprints, A |
| Multiple Kernel | learning | Framework to Investigate the Relationship Between Ventricular Fibrillation and First Myocardial Infarction, A |
| Multiple kernel | learning | from sets of partially matching image features |
| Multiple kernel | learning | SVM and statistical validation for facial landmark detection |
| Multiple kernel | learning | using data envelopment analysis and feature vector selection and projection |
| Multiple Kernel | learning | with High Order Kernels |
| Multiple kernel | learning | with hybrid kernel alignment maximization |
| Multiple kernel | learning | with NOn-conVex group spArsity |
| Multiple Kernel | learning | , MKL |
| Multiple Kernel Sparse Representations for Supervised and Unsupervised | learning | |
| Multiple kernel-based dictionary | learning | for weakly supervised classification |
| Multiple Kernel-Based Multi-Instance | learning | Algorithm for Image Classification |
| Multiple Manifold | learning | by Nonlinear Dimensionality Reduction |
| Multiple Manifolds Metric | learning | with Application to Image Set Classification |
| Multiple metric | learning | based on bar-shape descriptor for person re-identification |
| Multiple metric | learning | with query adaptive weights and multi-task re-weighting for person re-identification |
| Multiple object tracking based on multi-task | learning | with strip attention |
| Multiple Object Tracking with Correlation | learning | |
| Multiple Ocular Diseases Classification with Graph Regularized Probabilistic Multi-label | learning | |
| Multiple particle tracking in time-lapse synchrotron X-ray images using discriminative appearance and neighbouring topology | learning | |
| Multiple Random Subset-Kernel | learning | |
| Multiple Relational | learning | Network for Joint Referring Expression Comprehension and Segmentation |
| Multiple Sequential Regularized Extreme | learning | Machines for Single Image Super Resolution |
| Multiple Ship Tracking in Remote Sensing Images Using Deep | learning | |
| Multiple Similarities Based Kernel Subspace | learning | for Image Classification |
| Multiple stream deep | learning | model for human action recognition |
| Multiple Structured-Instance | learning | for Semantic Segmentation with Uncertain Training Data |
| Multiple Superpixel Graphs | learning | Based on Adaptive Multiscale Segmentation for Hyperspectral Image Classification |
| Multiple Target Tracking by | learning | -Based Hierarchical Association of Detection Responses |
| Multiple Transfer | learning | and Multi-label Balanced Training Strategies for Facial AU Detection In the Wild |
| Multiple vector representations of images and robust dictionary | learning | |
| Multiple view based 3D object classification using ensemble | learning | of local subspaces |
| Multiple-Facial Action Unit Recognition by Shared Feature | learning | and Semantic Relation Modeling |
| Multiple-Goal Reinforcement | learning | Method for Complex Vehicle Overtaking Maneuvers, A |
| Multiple-instance | learning | as a classifier combining problem |
| Multiple-Instance | learning | for Anomaly Detection in Digital Mammography |
| Multiple-Instance | learning | for Natural Scene Classification |
| Multiple-Instance | learning | from multiple perspectives: Combining models for Multiple-Instance learning |
| Multiple-Instance | learning | from multiple perspectives: Combining models for Multiple-Instance learning |
| Multiple-Instance | learning | with Empirical Estimation Guided Instance Selection |
| Multiple-Instance | learning | with Structured Bag Models |
| Multiple-Instance Multiple-Label | learning | for the Classification of Frog Calls with Acoustic Event Detection |
| Multiple-instance ranking: | learning | to rank images for image retrieval |
| Multiple-model MKS with Improved | learning | /Prior Modeling |
| Multiple-Shot People Re-Identification by Patch-Wise | learning | |
| Multiple-Shot Person Re-Identification by Pairwise Multiple Instance | learning | |
| Multiple-Shot Person Re-identification via Riemannian Discriminative | learning | |
| Multiple-view multiple-learner active | learning | |
| Multiplicative Updates for | learning | with Stochastic Matrices |
| Multiresolution-histogram Indexing and Relevance Feedback | learning | for Image Retrieval |
| Multiscale Adjacent Superpixel-Based Extended Multi-Attribute Profiles Embedded Multiple Kernel | learning | Method for Hyperspectral Classification |
| Multiscale and Multitask Deep | learning | Framework for Automatic Building Extraction, A |
| Multiscale Centerline Detection by | learning | a Scale-Space Distance Transform |
| Multiscale Correlation Networks Based on Deep | learning | for Automatic Modulation Classification |
| Multiscale descriptors and metric | learning | for human body shape retrieval |
| Multiscale Dictionary | learning | via Cross-Scale Cooperative Learning and Atom Clustering for Visual Signal Processing |
| Multiscale Dictionary | learning | via Cross-Scale Cooperative Learning and Atom Clustering for Visual Signal Processing |
| Multiscale Emotion Representation | learning | for Affective Image Recognition |
| Multiscale probability map guided index pooling with attention-based | learning | for road and building segmentation |
| Multiscale quality assessment of Global Human Settlement Layer scenes against reference data using statistical | learning | |
| Multiscale Representation of Radar Echo Data Retrieved through Deep | learning | from Numerical Model Simulations and Satellite Images |
| Multiscale Representations | learning | Transformer Framework for Point Cloud Classification |
| Multiscale Residual Attention Network for Multitask | learning | of Human Activity Using Radar Micro-Doppler Signatures, A |
| Multiscale Supervised Kernel Dictionary | learning | for SAR Target Recognition |
| Multisensor Interface to Improve the | learning | Experience in Arc Welding Training Tasks, A |
| Multiset Feature | learning | for Highly Imbalanced Data Classification |
| Multisets mixture | learning | -based ellipse detection |
| MultiSiam: Self-supervised Multi-instance Siamese Representation | learning | for Autonomous Driving |
| Multisnapshot Sparse Bayesian | learning | for DOA |
| Multisource Transfer | learning | for Cross-Subject EEG Emotion Recognition |
| Multispectral background subtraction with deep | learning | |
| Multispectral Band-Aware Generation of Satellite Images across Domains Using Generative Adversarial Networks and Contrastive | learning | |
| Multispectral Contrastive | learning | with Viewmaker Networks |
| Multispectral Image Denoising via Nonlocal Multitask Sparse | learning | |
| Multispectral LiDAR Point Cloud Segmentation for Land Cover Leveraging Semantic Fusion in Deep | learning | Network |
| Multispectral-based Imaging and Machine | learning | for Noninvasive Blood Loss Estimation |
| Multistage Object Detection With Group Recursive | learning | |
| Multistep Multiagent Reinforcement | learning | for Optimal Energy Schedule Strategy of Charging Stations in Smart Grid |
| Multistrategical Approach in Visual | learning | |
| Multistrategy | learning | Approach for Target Model Recognition, Acquisition, and Refinement, A |
| Multitarget Multiple-Instance | learning | for Hyperspectral Target Detection |
| Multitask Deep | learning | Reconstruction and Localization of Lesions in Limited Angle Diffuse Optical Tomography |
| Multitask Feature | learning | as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification |
| Multitask Feature | learning | Meets Robust Tensor Decomposition for EEG Classification |
| Multitask | learning | for Cross-Domain Image Captioning |
| Multitask | learning | for EEG-based biometrics |
| Multitask | learning | for large-scale semantic change detection |
| Multitask | learning | for neural generative question answering |
| Multitask | learning | for Super-Resolution of Seismic Velocity Model |
| Multitask | learning | for Video-based Surgical Skill Assessment |
| Multitask | learning | From Augmented Auxiliary Data for Improving Speech Emotion Recognition |
| Multitask | learning | of Compact Semantic Codebooks for Context-Aware Scene Modeling |
| Multitask | learning | Strengthens Adversarial Robustness |
| Multitask | learning | to Improve Egocentric Action Recognition |
| Multitask | learning | via pseudo-label generation and ensemble prediction for parasitic egg cell detection: IEEE ICIP Challenge 2022 |
| Multitask | learning | -Based for SAR Image Superpixel Generation |
| Multitask Neural Tensor Factorization for Road Traffic Speed-Volume Correlation Pattern | learning | and Joint Imputation |
| Multitask Reinforcement | learning | in Nondeterministic Environments: Maze Problem Case |
| Multitask Representation | learning | for Multimodal Estimation of Depression Level |
| Multitask, Multilabel, and Multidomain | learning | With Convolutional Networks for Emotion Recognition |
| MultiTask-CenterNet (MCN): Efficient and Diverse Multitask | learning | using an Anchor Free Approach |
| Multitemporal Mountain Rice Identification and Extraction Method Based on the Optimal Feature Combination and Machine | learning | , A |
| Multitype Highway Mobility Analytics for Efficient | learning | Model Design: A Case of Station Traffic Prediction |
| Multivariate Analysis for Solar Resource Assessment Using Unsupervised | learning | on Images from the GOES-13 Satellite |
| Multivariate Machine | learning | Methods for Fusing Multimodal Functional Neuroimaging Data |
| Multiverse Loss for Robust Transfer | learning | , The |
| Multiview Deep Feature | learning | Network for SAR Automatic Target Recognition |
| Multiview discriminative | learning | for age-invariant face recognition |
| Multiview Distance Metric | learning | on facial feature descriptors for automatic pain intensity detection |
| Multiview High Dynamic Range Image Synthesis Using Fuzzy Broad | learning | System |
| Multiview Intensity-Based Active | learning | for Hyperspectral Image Classification |
| Multiview Jointly Sparse Discriminant Common Subspace | learning | |
| Multiview max-margin subspace | learning | for cross-view gait recognition |
| Multiview Pseudo-Labeling for Semi-supervised | learning | from Video |
| Multiview Similarity | learning | for Robust Visual Clustering |
| Multiview Unsupervised Shapelet | learning | for Multivariate Time Series Clustering |
| Multiview-Consistent Semi-Supervised | learning | for 3D Human Pose Estimation |
| Mumford-Shah Loss Functional for Image Segmentation With Deep | learning | |
| MuRCL: Multi-Instance Reinforcement Contrastive | learning | for Whole Slide Image Classification |
| Muscle-Synergies-Based Neuromuscular Control for Motion | learning | and Generalization of a Musculoskeletal System |
| MUSCLE: Strengthening Semi-Supervised | learning | Via Concurrent Unsupervised Learning Using Mutual Information Maximization |
| MUSCLE: Strengthening Semi-Supervised | learning | Via Concurrent Unsupervised Learning Using Mutual Information Maximization |
| Musical keys and chords recognition using unsupervised | learning | with infinite Gaussian mixture |
| Muti-modal | learning | in photogrammetry and remote sensing |
| Mutual CRF-GNN for Few-shot | learning | |
| Mutual exclusivity loss for semi-supervised deep | learning | |
| Mutual Graph | learning | for Camouflaged Object Detection |
| Mutual Guidance Meets Supervised Contrastive | learning | : Vehicle Detection in Remote Sensing Images |
| Mutual Information Driven Equivariant Contrastive | learning | for 3D Action Representation Learning |
| Mutual Information Driven Equivariant Contrastive | learning | for 3D Action Representation Learning |
| Mutual information guided 3D ResNet for self-supervised video representation | learning | |
| Mutual Information-Based Self-Supervised | learning | Model for PolSAR Land Cover Classification, A |
| Mutual | learning | and Feature Fusion Siamese Networks for Visual Object Tracking |
| Mutual | learning | Between Saliency and Similarity: Image Cosegmentation via Tree Structured Sparsity and Tree Graph Matching |
| Mutual | learning | for Long-Tailed Recognition |
| Mutual | learning | Method for Salient Object Detection With Intertwined Multi-Supervision, A |
| Mutual | learning | of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification |
| Mutual | learning | of Joint and Separate Domain Alignments for Multi-Source Domain Adaptation |
| Mutual | learning | of Unsupervised Interactions Between Mobile Robots |
| Mutual | learning | to Adapt for Joint Human Parsing and Pose Estimation |
| Mutual Relative Position | learning | Transformer for Cross-View Geo-Localization |
| Mutual-Assistance | learning | for Object Detection |
| Mutual-Assistance | learning | for Standalone Mono-Modality Survival Analysis of Human Cancers |
| MutualBoost | learning | for selecting Gabor features for face recognition |
| Mutually Supervised | learning | via Interactive Consistency for Geographic Object Segmentation from Weakly Labeled Remote Sensing Imagery |
| MutualNet: Adaptive ConvNet via Mutual | learning | From Different Model Configurations |
| MutualNet: Adaptive Convnet via Mutual | learning | from Network Width and Resolution |
| MvDeCor: Multi-view Dense Correspondence | learning | for Fine-Grained 3D Segmentation |
| MVSCRF: | learning | Multi-View Stereo With Conditional Random Fields |
| MVSNet++: | learning | Depth-Based Attention Pyramid Features for Multi-View Stereo |
| MVSSC: Meta-reinforcement | learning | based visual indoor navigation using multi-view semantic spatial context |
| My View is the Best View: Procedure | learning | from Egocentric Videos |
| Myocardial Function Imaging in Echocardiography Using Deep | learning | |
| n-reference Transfer | learning | for Saliency Prediction |
| N-RPN: Hard Example | learning | For Region Proposal Networks |
| Naive-Student: Leveraging Semi-supervised | learning | in Video Sequences for Urban Scene Segmentation |
| Nakagami-Based AdaBoost | learning | Framework for Detection of Anatomical Landmarks in 2D Fetal Neurosonograms |
| Named Entity Recognition Method Based on Deep | learning | For Chinese Legal Documents, A |
| NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual | learning | |
| NAR-Former: Neural Architecture Representation | learning | Towards Holistic Attributes Prediction |
| Narrative structure analysis with education and training videos for e- | learning | |
| NAS-DIP: | learning | Deep Image Prior with Neural Architecture Search |
| NAS-FPN: | learning | Scalable Feature Pyramid Architecture for Object Detection |
| National-Scale Cropland Mapping Based on Phenological Metrics, Environmental Covariates, and Machine | learning | on Google Earth Engine |
| National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep | learning | framework: A case study of China |
| National-Standards- and Deep- | learning | -Oriented Raster and Vector Benchmark Dataset (RVBD) for Land-Use/Land-Cover Mapping in the Yangtze River Basin |
| Nationwide urban tree canopy mapping and coverage assessment in Brazil from high-resolution remote sensing images using deep | learning | |
| Natura 2000 Grassland Habitats Mapping Based on Spectro-Temporal Dimension of Sentinel-2 Images with Machine | learning | |
| Natural facial expression recognition using differential-AAM and manifold | learning | |
| Natural Gas Leakage Detection: A Deep | learning | Framework on IR Video Data |
| Natural Images Pre-Trained Deep | learning | Method for Seismic Random Noise Attenuation, A |
| Natural Language-Based Vehicle Retrieval with Explicit Cross-Modal Representation | learning | |
| Nature of Statistical | learning | Theory, The |
| Navigating Robots in Dynamic Environment with Deep Reinforcement | learning | |
| Navigation in Indoor Environments: Does the Type of Visual | learning | Stimulus Matter? |
| Navigation of a Fuzzy-Controlled Wheeled Robot Through the Combination of Expert Knowledge and Data-Driven Multiobjective Evolutionary | learning | |
| NBNet: Noise Basis | learning | for Image Denoising with Subspace Projection |
| NCHO: Unsupervised | learning | for Neural 3D Composition of Humans and Objects |
| NCL++: Nested Collaborative | learning | for long-tailed visual recognition |
| NDDR-LCS: A Multi-Task | learning | Method for Classification of Carotid Plaques |
| Near Real-Time Change Detection System Using Sentinel-2 and Machine | learning | : A Test for Mexican and Colombian Forests |
| Near Real-Time Characterization of Spatio-Temporal Precursory Evolution of a Rockslide from Radar Data: Integrating Statistical and Machine | learning | with Dynamics of Granular Failure |
| Near Real-Time Flood Mapping with Weakly Supervised Machine | learning | |
| Near-Duplicate Keyframe Identification With Interest Point Matching and Pattern | learning | |
| Near-Duplicate Video Retrieval with Deep Metric | learning | |
| near-optimal non-myopic active | learning | method, A |
| Near-Real-Time Flood Detection Method Based on Deep | learning | and SAR Images, A |
| Near-Real-Time Flood Mapping Using Off-the-Shelf Models with SAR Imagery and Deep | learning | |
| Near-Surface Soil Moisture Characterization in Mississippi's Highway Slopes Using Machine | learning | Methods and UAV-Captured Infrared and Optical Images |
| nearest neighbor-based active | learning | method and its application to time series classification, A |
| Nearest Neighboring Self-Supervised | learning | for Hyperspectral Image Classification |
| Nearshore Bathymetry from ICESat-2 LiDAR and Sentinel-2 Imagery Datasets Using Deep | learning | Approach |
| NeAT: | learning | Neural Implicit Surfaces with Arbitrary Topologies from Multi-View Images |
| Negatives Make a Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot | learning | |
| Neglected Free Lunch: | learning | Image Classifiers Using Annotation Byproducts |
| Neighbor-Based Label Distribution | learning | to Model Label Ambiguity for Aerial Scene Classification |
| Neighbor-Guided Consistent and Contrastive | learning | for Semi-Supervised Action Recognition |
| Neighborhood Adaptive Loss Function for Deep | learning | -Based Point Cloud Coding With Implicit and Explicit Quantization |
| Neighborhood Contrastive | learning | for Novel Class Discovery |
| Neighborhood Cooperative Multiagent Reinforcement | learning | for Adaptive Traffic Signal Control in Epidemic Regions |
| Neighborhood kinship preserving hashing for supervised | learning | |
| Neighborhood Normalization for Robust Geometric Feature | learning | |
| Neighborhood repulsed correlation metric | learning | for kinship verification |
| Neighborhood Repulsed Metric | learning | for Kinship Verification |
| Neighborhood-Adaptive Multi-Cluster Ranking for Deep Metric | learning | |
| Neighborhood-based credibility anchor | learning | for universal domain adaptation |
| Neighborhood-level | learning | techniques for nonparametric scene models |
| Neighbors Based Discriminative Feature Difference | learning | for Kinship Verification |
| Neighbourhood Context Embeddings in Deep Inverse Reinforcement | learning | for Predicting Pedestrian Motion Over Long Time Horizons |
| Neovascularization Detection on Optic Disc Region Using Deep | learning | |
| NephCNN: A deep- | learning | framework for vessel segmentation in nephrectomy laparoscopic videos |
| NeRF-Det: | learning | Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection |
| NeRFLiX: High-Quality Neural View Synthesis by | learning | a Degradation-Driven Inter-viewpoint MiXer |
| Nerve Localization by Machine | learning | Framework with New Feature Selection Algorithm |
| Nested Collaborative | learning | for Long-Tailed Visual Recognition |
| Nested Hyper-Rectangle | learning | Model for Remote Sensing: Land Cover Classification |
| NestedNet: | learning | Nested Sparse Structures in Deep Neural Networks |
| net-structure | learning | system for pattern description, A |
| NetCalib: A Novel Approach for LiDAR-Camera Auto-calibration Based on Deep | learning | |
| Network Binarization via Contrastive | learning | |
| Network Flow Formulations for | learning | Binary Hashing |
| Network for Makeup Face Verification Based upon Deep | learning | , A |
| Network in network based weakly supervised | learning | for visual tracking |
| Network Update Compression for Federated | learning | |
| Networks for Approximation and | learning | |
| NeUDF: | learning | Neural Unsigned Distance Fields With Volume Rendering |
| NeuMesh: | learning | Disentangled Neural Mesh-Based Implicit Field for Geometry and Texture Editing |
| Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation | learning | and Generation |
| Neural Architecture Search of Deep Priors: Towards Continual | learning | without Catastrophic Interference |
| Neural Bag-of-Features | learning | |
| Neural Batch Sampling with Reinforcement | learning | for Semi-Supervised Anomaly Detection |
| Neural Body Fitting: Unifying Deep | learning | and Model Based Human Pose and Shape Estimation |
| Neural Compression-Based Feature | learning | for Video Restoration |
| Neural Contours: | learning | to Draw Lines From 3D Shapes |
| Neural Data Server: A Large-Scale Search Engine for Transfer | learning | Data |
| Neural Dependencies Emerging from | learning | Massive Categories |
| Neural Graph Matching Network: | learning | Lawler's Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching |
| Neural | learning | -based image quality metric without reference |
| Neural Model for Category | learning | , A |
| Neural Multimodal Cooperative | learning | Toward Micro-Video Understanding |
| Neural Network Based on SPD Manifold | learning | for Skeleton-Based Hand Gesture Recognition, A |
| Neural network based reinforcement | learning | for audio-visual gaze control in human-robot interaction |
| Neural Network Guided Background Subtraction, | learning | Methods |
| Neural Network Pruning Through Constrained Reinforcement | learning | |
| Neural network techniques for object orientation detection. Solution by optimal feedforward network and | learning | vector quantization approaches |
| Neural network-based ideation | learning | for intelligent agents: e-brainstorming with privacy preferences |
| Neural Networks and | learning | for Human Action Recognition and Detection |
| Neural Networks, | learning | for Image Compression |
| Neural Object | learning | for 6d Pose Estimation Using a Few Cluttered Images |
| Neural Object Recognition by Hierarchical | learning | and Extraction of Essential Shapes |
| Neural Part Priors: | learning | to Optimize Part-Based Object Completion in RGB-D Scans |
| Neural Parts: | learning | Expressive 3D Shape Abstractions with Invertible Neural Networks |
| Neural Plenoptic Sampling: | learning | Light-field from Thousands of Imaginary Eyes |
| Neural Rate Estimator and Unsupervised | learning | for Efficient Distributed Image Analytics in Split-DNN models |
| Neural Ray Surfaces for Self-Supervised | learning | of Depth and Ego-motion |
| Neural Reprojection Error: Merging Feature | learning | and Camera Pose Estimation |
| Neural Scheme for Procedural Motor | learning | of Handwriting, A |
| Neural Sensors: | learning | Pixel Exposures for HDR Imaging and Video Compressive Sensing With Programmable Sensors |
| Neural Sign Language Translation by | learning | Tokenization |
| Neural Strands: | learning | Hair Geometry and Appearance from Multi-view Images |
| Neural System for Automatic Target | learning | and Recognition Applied to Bare and Camouflaged SAR Targets, A |
| Neural Transformation Network to Generate Diverse Views for Contrastive | learning | |
| Neural Vector Fields: Implicit Representation by Explicit | learning | |
| Neural Voxel Renderer: | learning | an Accurate and Controllable Rendering Tool |
| Neural Weight Search for Scalable Task Incremental | learning | |
| Neural Wireframe Renderer: | learning | Wireframe to Image Translations |
| Neural-Guided RANSAC: | learning | Where to Sample Model Hypotheses |
| Neural-Network Capable of | learning | and Inference for Visual-Pattern Recognition, A |
| Neural-Sim: | learning | to Generate Training Data with NeRF |
| Neural-Symbolic Architecture for Inverse Graphics Improved by Lifelong Meta- | learning | , A |
| NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video | learning | |
| NeuralUDF: | learning | Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies |
| Neuro-Fuzzy Inference System Through Integration of Fuzzy Logic and Extreme | learning | Machines, A |
| Neuro-Modulated Hebbian | learning | for Fully Test-Time Adaptation |
| Neurodynamics of | learning | and Network Performance |
| Neurofeedback fMRI-mediated | learning | and consolidation of regional brain activation during motor imagery |
| Neurofuzzy Approach To Active | learning | Based Annotation Propagation for 3D Object Databases, A |
| NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep | learning | Framework |
| Neuroimage-based clinical prediction using machine | learning | tools |
| Neuromuscular Control of the Face-Head-Neck Biomechanical Complex with | learning | -Based Expression Transfer from Images and Videos |
| Neuronal Population Reconstruction From Ultra-Scale Optical Microscopy Images via Progressive | learning | |
| NeuS2: Fast | learning | of Neural Implicit Surfaces for Multi-view Reconstruction |
| Neutral Face | learning | and Progressive Fusion Synthesis Network for NIR-VIS Face Recognition |
| NEV-NCD: Negative | learning | , Entropy, and Variance Regularization Based Novel Action Categories Discovery |
| new accelerated proximal gradient technique for regularized multitask | learning | framework, A |
| New Active | learning | Approach for Seabed Segmentation |
| New Algorithm for Robust Pedestrian Tracking Based on Manifold | learning | and Feature Selection, A |
| new approach for classification skin lesion based on transfer | learning | , deep learning, and IoT system, A |
| new approach for classification skin lesion based on transfer | learning | , deep learning, and IoT system, A |
| New Approach for Understanding Urban Microclimate by Integrating Complementary Predictors at Different Scales in Regression and Machine | learning | Models, A |
| new approach to contextual | learning | using interval arithmetic and its applications for land-use classification, A |
| new approach to outdoor scene description based on | learning | and top-down segmentation, A |
| New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised | learning | and Downstream Domain Adaptation, A |
| New Blind Attack Procedure For Dct-based Image Encryption With Spectrum | learning | , A |
| New colour fusion deep | learning | model for large-scale action recognition |
| new combining | learning | method for color constancy, A |
| new context-sensitive grammars | learning | algorithm and its application in trajectory classification, A |
| New Contour Cue-Based Hybrid Sparse | learning | for Salient Object Detection |
| new convex objective function for the supervised | learning | of single-layer neural networks, A |
| New Data Selection Principle for Semi-Supervised Incremental | learning | , A |
| new data structure HC-expression for | learning | from examples, A |
| new deep | learning | architecture for detection of long linear infrastructure, A |
| New Deep | learning | Engine for CoralNet, A |
| New Deep | learning | Framework for HF Signal Detection in Wideband Spectrogram, A |
| New Deep | learning | Network for Automatic Bridge Detection from SAR Images Based on Balanced and Attention Mechanism, A |
| New Deep | learning | Neural Network Model for the Identification of InSAR Anomalous Deformation Areas, A |
| new deep- | learning | approach for early detection of shape variations in autism using structural mri, A |
| New Drought Monitoring Index on the Tibetan Plateau Based on Multisource Data and Machine | learning | Methods, A |
| new evolutionary | learning | model for handwritten character prototyping, A |
| New Face Recognition Algorithm based on Dictionary | learning | for a Single Training Sample per Person, A |
| New Few-Shot | learning | -Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation, A |
| New Framework of Swarm | learning | Consolidating Knowledge From Multi-Center Non-IID Data for Medical Image Segmentation, A |
| New fully automatic approach for tissue identification in histopathological examinations using transfer | learning | |
| New Identification Method for Surface Cracks from UAV Images Based on Machine | learning | in Coal Mining Areas, A |
| New Image Representation Algorithm Inspired by Image Submodality Models, Redundancy Reduction, and | learning | in Biological Vision, A |
| New Image Segmentation Method for Removing Background of Object Movies by | learning | Shape Priors, A |
| new large dataset and a transfer | learning | methodology for plant phenotyping in Vertical Farms, A |
| New | learning | Based Super-Resolution: Use of DWT and IGMRF Prior |
| New | learning | Formulation for Kernel Classifier Design, A |
| New Machine | learning | Approach in Detecting the Oil Palm Plantations Using Remote Sensing Data, A |
| new machine | learning | based approach to predict Freezing of Gait, A |
| new method based on bag of filters for character recognition in scene images by | learning | , A |
| New Method for Bare Permafrost Extraction on the Tibetan Plateau by Integrating Machine | learning | and Multi-Source Information, A |
| new method for constructing granular neural networks based on rule extraction and extreme | learning | machine, A |
| New Method for Earth Observation Data Analytics Based on Symbolic Machine | learning | , A |
| New Method to Evaluate Gold Mineralisation-Potential Mapping Using Deep | learning | and an Explainable Artificial Intelligence (XAI) Model, A |
| New Metrics and Experimental Paradigms for Continual | learning | |
| New Model for Transfer | learning | -Based Mapping of Burn Severity, A |
| New Model of Computation for | learning | Vision Modules from Examples, A |
| New non-negative sparse feature | learning | approach for content-based image retrieval |
| New Parallel Training Algorithm for Optimum-Path Forest-Based | learning | , A |
| New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation | learning | , A |
| New Practice Method Based on KNN Model to Improve User Experience for an AR Piano | learning | System, A |
| New Remote Hyperspectral Imaging System Embedded on an Unmanned Aquatic Drone for the Detection and Identification of Floating Plastic Litter Using Machine | learning | , A |
| New Satellite-Based Retrieval of Low-Cloud Liquid-Water Path Using Machine | learning | and Meteosat SEVIRI Data, A |
| New Simplified Gravitational Clustering Method for Multi-prototype | learning | Based on Minimum Classification Error Training, A |
| new sliding mode-based | learning | control for uncertain discrete-time systems, A |
| new sparse representation | learning | of complex data: Application to dynamic clustering of web navigation, A |
| New Stereo Dense Matching Benchmark Dataset for Deep | learning | , A |
| New Strategy to Fuse Remote Sensing Data and Geochemical Data with Different Machine | learning | Methods, A |
| new subspace | learning | method in Fourier domain for texture classification, A |
| New Supervised | learning | of Neural Networks for satellite image classification |
| new technique for generalized | learning | vector quantization algorithm, A |
| New Unsupervised Deep | learning | Algorithm for Fine-Grained Detection of Driver Distraction, A |
| New Unsupervised | learning | for Clustering Using Geometric Associative Memories, A |
| Newly Built Construction Detection in SAR Images Using Deep | learning | |
| News Video Retrieval by | learning | Multimodal Semantic Information |
| Next best viewpoint (NBV) planning for active object modeling based on a | learning | -by-showing approach |
| NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine | learning | technique |
| Next Generation Mapping: Combining Deep | learning | , Cloud Computing, and Big Remote Sensing Data |
| NeXtNow: A Convolutional Deep | learning | Model for the Prediction of Weather Radar Data for Nowcasting Purposes |
| NGC: A Unified Framework for | learning | with Open-World Noisy Data |
| Nighttime Stereo Depth Estimation using Joint Translation-Stereo | learning | : Light Effects and Uninformative Regions |
| NILC: A two level | learning | algorithm with operator selection |
| NIM-Nets: Noise-Aware Incomplete Multi-View | learning | Networks |
| NinjaDesc: Content-Concealing Visual Descriptors via Adversarial | learning | |
| NIR-VIS heterogeneous face recognition via cross-spectral joint dictionary | learning | and reconstruction |
| Nitrogen Balance Index Prediction of Winter Wheat by Canopy Hyperspectral Transformation and Machine | learning | |
| NLNL: Negative | learning | for Noisy Labels |
| NMF-Based Comprehensive Latent Factor | learning | with Multiview Data |
| No Adversaries to Zero-Shot | learning | : Distilling an Ensemble of Gaussian Feature Generators |
| No Fear of Classifier Biases: Neural Collapse Inspired Federated | learning | with Synthetic and Fixed Classifier |
| No Fuss Distance Metric | learning | Using Proxies |
| No fuss metric | learning | , a Hilbert space scenario |
| No Matter Where You Are: Flexible Graph-Guided Multi-task | learning | for Multi-view Head Pose Classification under Target Motion |
| No One Left Behind: Improving the Worst Categories in Long-Tailed | learning | |
| No One Left Behind: Real-World Federated Class-Incremental | learning | |
| No-Reference Hyperspectral Image Quality Assessment via Quality-Sensitive Features | learning | |
| No-Reference Image Sharpness Assessment Based on Rank | learning | |
| No-Reference | learning | -Based and Human Visual-Based Image Quality Assessment Metric |
| No-Reference Nonuniform Distorted Video Quality Assessment Based on Deep Multiple Instance | learning | |
| No-Reference Retargeted Image Quality Assessment Based on Pairwise Rank | learning | |
| No-reference video quality assessment via feature | learning | |
| NO2 Concentration Estimation at Urban Ground Level by Integrating Sentinel 5P Data and ERA5 Using Machine | learning | : The Milan (Italy) Case Study |
| Node Representation | learning | in Graph via Node-to-Neighbourhood Mutual Information Maximization |
| Node Selection Strategy in Space-Air-Ground Information Networks: A Double Deep Q-Network Based on the Federated | learning | Training Method, A |
| Noise as a Resource for | learning | in Knowledge Distillation |
| Noise Conditional Flow Model for | learning | the Super-Resolution Space |
| Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive | learning | |
| Noise Suppression With Similarity-Based Self-Supervised Deep | learning | |
| Noise-aware | learning | from Web-crawled Image-Text Data for Image Captioning |
| Noise-based Selection of Robust Inherited Model for Accurate Continual | learning | |
| Noise-Resilient Online | learning | Algorithm for Scene Classification, A |
| Noise-resistant Deep Metric | learning | with Ranking-based Instance Selection |
| Noise-robust dictionary | learning | with slack block-Diagonal structure for face recognition |
| Noise-robust semi-supervised | learning | via fast sparse coding |
| Noise-Sensitive Adversarial | learning | for Weakly Supervised Salient Object Detection |
| Noise-tolerant deep | learning | for histopathological image segmentation |
| Noise2Void - | learning | Denoising From Single Noisy Images |
| NoiseFlow: | learning | Optical Flow from Low SNR Cryo-EM Movie |
| Noisier2Noise: | learning | to Denoise From Unpaired Noisy Data |
| Noisy Concurrent Training for Efficient | learning | under Label Noise |
| Noisy Correspondence | learning | with Meta Similarity Correction |
| Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space | learning | |
| Noisy label facial expression recognition via face-specific label distribution | learning | |
| Noisy Label | learning | With Provable Consistency for a Wider Family of Losses |
| Noisy Labels for | learning | |
| Noisy manifold | learning | using neighborhood smoothing embedding |
| Noisy Remote Sensing Scene Classification via Progressive | learning | Based on Multiscale Information Exploration |
| Noisy-as-Clean: | learning | Self-Supervised Denoising From Corrupted Image |
| Non-accidental Features in | learning | |
| Non-Aligned Multi-View Multi-Label Classification via | learning | View-Specific Labels |
| Non-Contrastive | learning | Meets Language-Image Pre-Training |
| Non-Contrastive Unsupervised | learning | of Physiological Signals from Video |
| non-convex relaxation approach to sparse dictionary | learning | , A |
| Non-generative Generalized Zero-shot | learning | via Task-correlated Disentanglement and Controllable Samples Synthesis |
| non-invasive and adaptive CAD system to detect brain tumor from T2-weighted MRIs using customized Otsu's thresholding with prominent features and supervised | learning | , A |
| Non-isotropic Probabilistic Take on Proxy-based Deep Metric | learning | , A |
| Non-isotropy Regularization for Proxy-based Deep Metric | learning | |
| Non-linear Convolution Filters for CNN-Based | learning | |
| Non-linear dictionary | learning | with partially labeled data |
| Non-linear metric | learning | using pairwise similarity and dissimilarity constraints and the geometrical structure of data |
| Non-Negative Low Rank and Sparse Graph for Semi-Supervised | learning | |
| Non-negative Subspace Representation | learning | Scheme for Correlation Filter Based Tracking |
| Non-Negative Transfer | learning | With Consistent Inter-Domain Distribution |
| Non-Parametric HMM | learning | Method for Shape Dynamics with Application to Human Motion Recognition, A |
| Non-parametric unsupervised | learning | with applications to image classification |
| Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep | learning | |
| Non-Semantics Suppressed Mask | learning | for Unsupervised Video Semantic Compression |
| Non-sparse linear representations for visual tracking with online reservoir metric | learning | |
| Non-stationary, online variational Bayesian | learning | , with circular variables |
| Non-uniform Subset Selection for Active | learning | in Structured Data |
| Nondestructive Detection of Targeted Microbubbles Using Dual-Mode Data and Deep | learning | for Real-Time Ultrasound Molecular Imaging |
| Nonlinear Appraisal Modeling: An Application of Machine | learning | to the Study of Emotion Production |
| Nonlinear blind signal separation with intelligent controlled | learning | |
| Nonlinear Constraint Network Optimization for Efficient Map | learning | |
| Nonlinear Deep Kernel | learning | for Image Annotation |
| Nonlinear dictionary | learning | with application to image classification |
| Nonlinear L1-norm minimization | learning | for human detection |
| Nonlinear Manifold | learning | for Dynamic Shape and Dynamic Appearance |
| Nonlinear Manifold | learning | for Visual Speech Recognition |
| nonlinear manifold | learning | framework for real-time motion estimation using low-cost sensors, A |
| Nonlinear Manifold | learning | Integrated with Fully Convolutional Networks for PolSAR Image Classification |
| Nonlinear Metric | learning | for Alzheimer’s Disease Diagnosis with Integration of Longitudinal Neuroimaging Features |
| Nonlinear Metric | learning | through Geodesic Interpolation within Lie Groups |
| Nonlinear Metric | learning | with Deep Independent Subspace Analysis Network for Face Verification |
| Nonlinear Multiple Kernel | learning | With Multiple-Structure-Element Extended Morphological Profiles for Hyperspectral Image Classification |
| Nonlinear Regression Application via Machine | learning | Techniques for Geomagnetic Data Reconstruction Processing, A |
| Nonlinear Regression via Deep Negative Correlation | learning | |
| Nonlinear Shape-Texture Manifold | learning | |
| Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed | learning | scenarios |
| Nonlocal feature | learning | based on a variational graph auto-encoder network for small area change detection using SAR imagery |
| Nonlocal graph theory based transductive | learning | for hyperspectral image classification |
| Nonlocal Hierarchical Dictionary | learning | Using Wavelets for Image Denoising |
| Nonnegative Component Representation with Hierarchical Dictionary | learning | Strategy for Action Recognition |
| Nonnegative Laplacian embedding guided subspace | learning | for unsupervised feature selection |
| Nonnegative matrix factorization with endmember sparse graph | learning | for hyperspectral unmixing |
| Nonnegative sparse coding for discriminative semi-supervised | learning | |
| Nonparametric Bayesian Dictionary | learning | for Analysis of Noisy and Incomplete Images |
| Nonparametric density estimation on a graph: | learning | framework, fast approximation and application in image segmentation |
| Nonparametric Discovery of | learning | Patterns and Autism Subgroups from Therapeutic Data |
| Nonparametric higher-order | learning | for interactive segmentation |
| Nonparametric image interpolation and dictionary | learning | using spatially-dependent Dirichlet and beta process priors |
| Nonparametric | learning | approach based on infinite flexible mixture model and its application to medical data analysis |
| Nonparametric | learning | for layered segmentation of natural images |
| Nonparametric | learning | Via Successive Subspace Modeling (SSM) |
| Nonparametric Regression Modeling with Equiprobable Topographic Maps and Projection Pursuit | learning | with Application to PET Image-Processing |
| Nonparametric Supervised | learning | by Linear Interpolation with Maximum Entropy |
| Nonparametric Variational Auto-Encoders for Hierarchical Representation | learning | |
| Nonparametric variational | learning | of multivariate beta mixture models in medical applications |
| Normal Assisted Pixel-Visibility | learning | With Cost Aggregation for Multiview Stereo |
| Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine | learning | Technique |
| Normalgan: | learning | Detailed 3d Human from a Single RGB-D Image |
| Normality Guided Multiple Instance | learning | for Weakly Supervised Video Anomaly Detection |
| Normality | learning | in Multispace for Video Anomaly Detection |
| Normalized LDA for semi-supervised | learning | |
| Normalized scoring of Hidden Markov Models by on-line | learning | and its application to gesture-sequence perception |
| Normalized Wasserstein for Mixture Distributions With Applications in Adversarial | learning | and Domain Adaptation |
| NormalNet: | learning | -Based Mesh Normal Denoising via Local Partition Normalization |
| Not All Areas Are Equal: Transfer | learning | for Semantic Segmentation via Hierarchical Region Selection |
| Not all domains are equally complex: Adaptive Multi-Domain | learning | |
| Not All Negatives Are Equal: | learning | to Track With Multiple Background Clusters |
| Not All Points Are Equal: | learning | Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds |
| Not Just Selection, but Exploration: Online Class-Incremental Continual | learning | via Dual View Consistency |
| Not only Look, But Also Listen: | learning | Multimodal Violence Detection Under Weak Supervision |
| NoVA: | learning | to See in Novel Viewpoints and Domains |
| novel active | learning | framework for classification: Using weighted rank aggregation to achieve multiple query criteria, A |
| Novel Active | learning | Method in Relevance Feedback for Content-Based Remote Sensing Image Retrieval, A |
| Novel aircraft type recognition with | learning | capabilities in satellite images |
| Novel Analysis Dictionary | learning | Model Based Hyperspectral Image Classification Method, A |
| novel and efficient deep | learning | approach for COVID-19 detection using X-ray imaging modality, A |
| Novel and efficient local coordinated freeway ramp metering strategy with simultaneous perturbation stochastic approximation-based parameter | learning | |
| Novel Approach Based on Machine | learning | and Public Engagement to Predict Water-Scarcity Risk in Urban Areas, A |
| novel approach combined transfer | learning | and deep learning to predict TMB from histology image, A |
| novel approach combined transfer | learning | and deep learning to predict TMB from histology image, A |
| novel approach for breast cancer detection using optimized ensemble | learning | framework and XAI, A |
| Novel Approach for Predicting Large Wildfires Using Machine | learning | towards Environmental Justice via Environmental Remote Sensing and Atmospheric Reanalysis Data across the United States, A |
| Novel Approach for Spatially Controllable High-Frequency Forecasts of Park Visitation Integrating Attention-Based Deep | learning | Methods and Location-Based Services, A |
| novel approach in multimodality medical image fusion using optimal shearlet and deep | learning | , A |
| Novel Approach to Automatic Traffic Sign Inventory Based on Mobile Mapping System Data and Deep | learning | |
| Novel Approach to Image Assessment by Seeking Unification of Subjective and Objective Criteria Based on Supervised | learning | , A |
| Novel Attribute-Based Symmetric Multiple Instance | learning | for Histopathological Image Analysis, A |
| Novel Bayesian Framework for Online Imbalanced | learning | , A |
| Novel Benchmarks and Approaches for Real-World Continual | learning | |
| Novel breast cancer classification framework based on deep | learning | |
| Novel Car-Following Control Model Combining Machine | learning | and Kinematics Models for Automated Vehicles, A |
| Novel Cardiac Arrhythmia Processing using Machine | learning | Techniques |
| Novel Class-wise Forgetting Detector in Continual | learning | , A |
| novel classification technique based on progressive transductive SVM | learning | , A |
| novel co-attention computation block for deep | learning | based image co-segmentation, A |
| novel competitive | learning | algorithm for the parametric classification with Gaussian distributions, A |
| novel consensus | learning | approach to incomplete multi-view clustering, A |
| Novel Contrastive | learning | Framework for Self-Supervised Anomaly Detection, A |
| Novel Data-Driven | learning | Method for Radar Target Detection in Nonstationary Environments, A |
| Novel DCT-Based Image Up-Sampling Using | learning | -Based Adaptive k-NN MMSE Estimation |
| Novel Deep Forest-Based Active Transfer | learning | Method for PolSAR Images, A |
| Novel Deep | learning | Approach Using Contextual Embeddings for Toponym Resolution, A |
| novel deep | learning | based framework for the detection and classification of breast cancer using transfer learning, A |
| novel deep | learning | based framework for the detection and classification of breast cancer using transfer learning, A |
| Novel Deep | learning | Based Method for Detection and Counting Of Vehicles In Urban Traffic Surveillance Systems, A |
| Novel Deep | learning | Framework for Automatic Recognition of Thyroid Gland and Tissues of Neck in Ultrasound Image, A |
| novel deep | learning | framework for double JPEG compression detection of small size blocks, A |
| novel deep | learning | instance segmentation model for automated marine oil spill detection, A |
| Novel Deep | learning | Method for Automatic Recognition of Coseismic Landslides, A |
| Novel Deep | learning | Method to Identify Single Tree Species in UAV-Based Hyperspectral Images, A |
| Novel deep | learning | model for facial expression recognition based on maximum boosted CNN and LSTM |
| Novel Deep | learning | Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction, A |
| Novel Deep | learning | Network with Deformable Convolution and Attention Mechanisms for Complex Scenes Ship Detection in SAR Images, A |
| Novel Deep | learning | Pipeline for Retinal Vessel Detection In Fluorescein Angiography, A |
| Novel Deep | learning | -Based Collaborative Filtering Model for Recommendation System, A |
| Novel Deep | learning | -Based Spatiotemporal Fusion Method for Combining Satellite Images with Different Resolutions Using a Two-Stream Convolutional Neural Network, A |
| Novel Deep | learning | -Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems |
| Novel Deep Q- | learning | -Based Air-Assisted Vehicular Caching Scheme for Safe Autonomous Driving, A |
| Novel Deep- | learning | Pipeline for Light Field Image Based Material Recognition, A |
| novel DeepML framework for multi-classification of breast cancer based on transfer | learning | , A |
| novel dimension reduction and dictionary | learning | framework for high-dimensional data classification, A |
| Novel dimensionality reduction approach for unsupervised | learning | on small datasets |
| novel double-layer sparse representation approach for unsupervised dictionary | learning | , A |
| Novel Dual-Encoder Model for Hyperspectral and LiDAR Joint Classification via Contrastive | learning | , A |
| Novel Dynamic Segmentation for Human-Posture | learning | System Using Hidden Logistic Regression |
| Novel Edge Caching Approach Based on Multi-Agent Deep Reinforcement | learning | for Internet of Vehicles |
| Novel Ensemble Approaches of Machine | learning | Techniques in Modeling the Gully Erosion Susceptibility |
| Novel Ensemble Architecture of Residual Attention-Based Deep Metric | learning | for Remote Sensing Image Retrieval, A |
| Novel Ensemble Machine | learning | and an Evolutionary Algorithm in Modeling the COVID-19 Epidemic and Optimizing Government Policies, A |
| novel ensemble model with two-stage | learning | for joint dialog act recognition and sentiment classification, A |
| Novel Ensemble Stacking Classification of Genetic Variations Using Machine | learning | Algorithms, A |
| Novel Extreme | learning | Control Framework of Unmanned Surface Vehicles, A |
| novel fast fractal image compression based on reinforcement | learning | , A |
| Novel Fast Sparse Bayesian | learning | STAP Algorithm for Conformal Array Radar, A |
| novel fingerprint classification method based on deep | learning | , A |
| Novel Forward-Backward Smoothing-Based | learning | Subspace Method for Recognition of Radar Targets |
| Novel Framework for Stratified-Coupled BLS Tree Trunk Detection and DBH Estimation in Forests (BSTDF) Using Deep | learning | and Optimization Adaptive Algorithm, A |
| Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine | learning | , and Repeated Model Tuning from Geostationary Satellite Data, A |
| Novel Fully Coupled Physical-Statistical-Deep | learning | Method for Retrieving Near-Surface Air Temperature from Multisource Data, A |
| Novel fuzzy reinforced | learning | vector quantisation algorithm and its application in image compression |
| Novel Graph-Based Fisher Kernel Method for Semi-supervised | learning | , A |
| Novel Graph-Based Machine | learning | Technique to Secure Smart Vehicles in Intelligent Transportation Systems |
| Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine | learning | Cluster: A Case of Xiaojin County, China, A |
| Novel Hyperspectral Endmember Extraction Algorithm Based on Online Robust Dictionary | learning | , A |
| novel image classification method based on manifold | learning | and Gaussian mixture model, A |
| Novel Inpainting Algorithm for Recovering Landsat-7 ETM+ SLC-OFF Images Based on the Low-Rank Approximate Regularization Method of Dictionary | learning | With Nonlocal and Nonconvex Models, A |
| Novel Inspection System For Variable Data Printing Using Deep | learning | , A |
| Novel Integrated Framework for | learning | both Text Detection and Recognition, A |
| novel kernel prototype-based | learning | algorithm, A |
| Novel Label Enhancement Algorithm Based on Manifold | learning | , A |
| Novel Land Cover Change Detection Deep | learning | Framework with Very Small Initial Samples Using Heterogeneous Remote Sensing Images |
| novel | learning | approach to multiple tasks based on boosting methodology, A |
| Novel | learning | Dictionary for Sparse Coding-Based Key Point Detection, A |
| novel | learning | -based dissimilarity metric for rigid and non-rigid medical image registration by using Bhattacharyya Distances, A |
| Novel | learning | -Based Framework for Detecting Interesting Events in Soccer Videos, A |
| Novel Machine | learning | Algorithm for Cloud Detection Using AERI Measurement Data, A |
| Novel Machine | learning | Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery, A |
| Novel Machine | learning | Approaches for Modelling the Gully Erosion Susceptibility |
| Novel Machine | learning | Method Integrating Ensemble Learning and Deep Learning for Mapping Debris-Covered Glaciers |
| Novel Machine | learning | Method Integrating Ensemble Learning and Deep Learning for Mapping Debris-Covered Glaciers |
| Novel Machine | learning | Method Integrating Ensemble Learning and Deep Learning for Mapping Debris-Covered Glaciers |
| novel machine | learning | -based analytical framework for automatic detection of COVID-19 using chest X-ray images, A |
| Novel Machine | learning | -Based Scheme for Spectrum Sharing in Virtualized 5G Networks, A |
| Novel Method Based on Deep | learning | , GIS and Geomatics Software for Building a 3D City Model from VHR Satellite Stereo Imagery, A |
| Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep | learning | , A |
| novel method for detecting soil salinity using AVIRIS-NG imaging spectroscopy and ensemble machine | learning | , A |
| Novel Method for Estimating Spatial Distribution of Forest Above-Ground Biomass Based on Multispectral Fusion Data and Ensemble | learning | Algorithm, A |
| Novel Method for Improving Air Pollution Prediction Based on Machine | learning | Approaches: A Case Study Applied to the Capital City of Tehran, A |
| Novel Method to Identify the Spaceborne SAR Operating Mode Based on Sidelobe Reconnaissance and Machine | learning | , A |
| Novel Model Integrating Deep | learning | for Land Use/Cover Change Reconstruction: A Case Study of Zhenlai County, Northeast China, A |
| Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity | learning | , A |
| Novel Multi-Task | learning | for Motion Magnification |
| Novel Multi-View Labelling Network Based on Pairwise | learning | , A |
| novel multi-view | learning | developed from single-view patterns, A |
| Novel Multidimensional Domain Deep | learning | Network for SAR Ship Detection, A |
| Novel Multiple Kernel | learning | Framework for Heterogeneous Feature Fusion and Variable Selection, A |
| Novel Multiple-Instance | learning | -Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays, A |
| Novel Multiple-View Adversarial | learning | Network for Unsupervised Domain Adaptation Action Recognition, A |
| Novel Object-Based Deep | learning | Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks, A |
| Novel Object-Based Supervised Classification Method with Active | learning | and Random Forest for PolSAR Imagery, A |
| Novel Orientation-Context Descriptor and Locality-Preserving Fisher Discrimination Dictionary | learning | for Action Recognition, A |
| novel parameter decoupling approach of personalised federated | learning | for image analysis, A |
| Novel Perspective to Zero-Shot | learning | : Towards an Alignment of Manifold Structures via Semantic Feature Expansion, A |
| novel plane extraction approach using supervised | learning | , A |
| novel predual dictionary | learning | algorithm, A |
| Novel Pseudo-Label Generation Method for Semi-Superivised SAR Target Recognition Based on Deep | learning | , A |
| Novel Query Strategy-Based Rank Batch-Mode Active | learning | Method for High-Resolution Remote Sensing Image Classification, A |
| Novel Random Forest Dissimilarity Measure for Multi-View | learning | , A |
| novel random forests based class incremental | learning | method for activity recognition, A |
| Novel Rank Correlation Measure for Manifold | learning | on Image Retrieval and Person Re-ID, A |
| Novel Rank | learning | Based No-Reference Image Quality Assessment Method, A |
| Novel Recursive Bayesian | learning | -Based Method for the Efficient and Accurate Segmentation of Video With Dynamic Background, A |
| novel region-based multimodal image fusion technique using improved dictionary | learning | , A |
| Novel Relational-Based Transductive Transfer | learning | Method for PolSAR Images via Time-Series Clustering, A |
| novel robust kernel for appearance-based | learning | , A |
| Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based Manifold | learning | , A |
| Novel Saliency Detection Algorithm Based on Adversarial | learning | Model, A |
| Novel Saliency-Based Graph | learning | Framework with Application to CBIR, A |
| novel screen content fast transcoding framework based on statistical study and machine | learning | , A |
| Novel Self-taught | learning | Framework Using Spatial Pyramid Matching For Scene Classification, A |
| Novel Semicoupled Projective Dictionary Pair | learning | Method for PolSAR Image Classification, A |
| Novel Semisupervised Active- | learning | Algorithm for Hyperspectral Image Classification, A |
| novel Siamese network object tracking algorithm based on tensor space mapping and memory- | learning | mechanism, A |
| Novel SOM-SVM-Based Active | learning | Technique for Remote Sensing Image Classification, A |
| Novel Splitting Criterion Inspired by Geometric Mean Metric | learning | for Decision Tree, A |
| novel subspace spatial-spectral low rank | learning | method for hyperspectral denoising, A |
| Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture | learning | : The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study |
| Novel Synergetic Classification Approach for Hyperspectral and Panchromatic Images Based on Self- | learning | , A |
| novel thin elongated objects segmentation based on fuzzy connectedness and GMM | learning | , A |
| novel unsupervised ensemble framework using concept-based linguistic methods and machine | learning | for twitter sentiment analysis, A |
| novel unsupervised Globality-Locality Preserving Projections in transfer | learning | , A |
| Novel Virtual View Quality Enhancement Technique through a | learning | of Synthesised Video, A |
| Novel Word Segmentation Method Based on Object Detection and Deep | learning | , A |
| Novelty Detection and Online | learning | for Chunk Data Streams |
| Novelty Detection on Metallic Surfaces by GMM | learning | in Gabor Space |
| NR-MVSNet: | learning | Multi-View Stereo Based on Normal Consistency and Depth Refinement |
| Nrityabodha: Towards understanding Indian classical dance using a deep | learning | approach |
| NTIRE 2021 | learning | the Super-Resolution Space Challenge |
| NTIRE 2022 Challenge on | learning | the Super-Resolution Space |
| Number-Adaptive Prototype | learning | for 3D Point Cloud Semantic Segmentation |
| Nystrom-based approximate kernel subspace | learning | |
| OANet: | learning | Two-View Correspondences and Geometry Using Order-Aware Network |
| Object Affinity | learning | : Towards Annotation-Free Instance Segmentation |
| Object categorization based on hierarchical | learning | |
| Object Categorization in Context Based on Probabilistic | learning | of Classification Tree with Boosted Features and Co-occurrence Structure |
| Object Centric Point Sets Feature | learning | with Matrix Decomposition |
| Object class recognition by unsupervised scale-invariant | learning | |
| Object Classification in Traffic Scene Surveillance Based on Online Semi-supervised Active | learning | |
| Object Classification With Joint Projection and Low-Rank Dictionary | learning | |
| Object co-detection via low-rank and sparse representation dictionary | learning | |
| Object Context Integrated Network for Joint | learning | of Depth and Optical Flow, An |
| Object Detection and Image Segmentation with Deep | learning | on Earth Observation Data: A Review-Part I: Evolution and Recent Trends |
| Object Detection and Image Segmentation with Deep | learning | on Earth Observation Data: A Review: Part II: Applications |
| Object detection and tracking under Complex environment using deep | learning | -based LPM |
| Object Detection for Crime Scene Evidence Analysis Using Deep | learning | |
| Object detection from dynamic scene using joint background modeling and fast deep | learning | classification |
| Object Detection in Aerial Imagery Based on Enhanced Semi-Supervised | learning | |
| Object Detection in Optical Remote Sensing Images Based on Weakly Supervised | learning | and High-Level Feature Learning |
| Object Detection in Optical Remote Sensing Images Based on Weakly Supervised | learning | and High-Level Feature Learning |
| Object Detection Using Deep | learning | Methods in Traffic Scenarios |
| Object Detection With DoG Scale-Space: A Multiple Kernel | learning | Approach |
| Object Discovery via Contrastive | learning | for Weakly Supervised Object Detection |
| Object Features for Pixel-based Classi cation of Urban Areas Comparing Different Machine | learning | Algorithms |
| Object figure-ground segmentation using zero-shot | learning | |
| Object Flow: | learning | Object Displacement |
| Object Folder Benchmark: Multisensory | learning | with Neural and Real Objects, The |
| Object Formation by | learning | in Visual Databases using Hierarchical Content Description |
| Object Identification in Land Parcels Using a Machine | learning | Approach |
| Object Interaction-Based Localization and Description of Road Accident Events Using Deep | learning | |
| Object localization and border detection criteria design in edge-based image segmentation: automated | learning | from examples |
| Object Localization Without Bounding Box Information Using Generative Adversarial Reinforcement | learning | |
| Object Memorability Prediction using Deep | learning | : Location and Size Bias |
| Object of Interest Detection by Saliency | learning | |
| Object recognition and articulated object | learning | by accumulative Hopfield matching |
| Object recognition and concept | learning | with CONFUCIUS |
| Object Recognition as Machine Translation: | learning | a Lexicon for a Fixed Image Vocabulary |
| Object recognition based on adapative bag of feature and discriminative | learning | |
| Object Recognition by | learning | Informative, Biologically Inspired Visual Features |
| Object Relational Graph With Teacher-Recommended | learning | for Video Captioning |
| Object segmentation and labeling by | learning | from examples |
| Object Segmentation through Multiple Instance | learning | |
| Object Semantic Segmentation in Point Clouds: Comparison of a Deep | learning | and a Knowledge-Based Method |
| Object tracking across non-overlapping views by | learning | inter-camera transfer models |
| Object Tracking Based on an Online | learning | Network with Total Error Rate Minimization |
| Object tracking based on incremental Bi-2DPCA | learning | with sparse structure |
| Object tracking based on | learning | collaborative representation with adaptive weight |
| Object tracking based on local | learning | |
| Object tracking based on online partial instance | learning | with multiple local strong classifiers |
| Object tracking based on support vector dictionary | learning | |
| Object tracking by bidirectional | learning | with feature selection |
| Object Tracking by Occlusion Detection via Structured Sparse | learning | |
| Object Tracking in Video Sequences by Unsupervised | learning | |
| Object tracking using incremental 2D-LDA | learning | and Bayes inference |
| Object tracking via online metric | learning | |
| Object Tracking Via Online Multiple Instance | learning | with Reliable Components |
| Object Tracking via Temporal Consistency Dictionary | learning | |
| Object-ABN: | learning | to Generate Sharp Attention Maps for Action Recognition |
| Object-Agnostic Vision Measurement Framework Based on One-Shot | learning | and Behavior Tree |
| Object-Aware Dictionary | learning | with Deep Features |
| Object-Aware Multimodal Named Entity Recognition in Social Media Posts With Adversarial | learning | |
| Object-Aware Self-Supervised Multi-Label | learning | |
| Object-Based Change Detection in Urban Areas from High Spatial Resolution Images Based on Multiple Features and Ensemble | learning | |
| Object-Based Image Classification of Summer Crops with Machine | learning | Methods |
| Object-based image labeling through | learning | by example and multi-level segmentation |
| Object-Based Image Retrieval Using Semi-Supervised Multi-Instance | learning | |
| Object-Based Image Similarity Computation Using Inductive | learning | of Contour-Segment Relations |
| Object-based Teaching And | learning | for A Critical Assessment of Digital Technologies in Arts And Cultural Heritage |
| Object-Centric Representation | learning | from Unlabeled Videos |
| Object-Location-Aware Hashing for Multi-Label Image Retrieval via Automatic Mask | learning | |
| Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine | learning | Algorithms |
| Object-oriented remote sensing image information extraction method based on multi-classifier combination and deep | learning | algorithm |
| OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised | learning | |
| Observer-Informed Deep | learning | for Traffic State Estimation With Boundary Sensing |
| Obtaining the consensus of multiple correspondences between graphs through online | learning | |
| Occluded Facial Expression Recognition Using Self-supervised | learning | |
| Occluded Pedestrian Detection via Distribution-Based Mutual-Supervised Feature | learning | |
| Occlusion Analysis: | learning | and Utilising Depth Maps in Object Tracking |
| Occlusion Aware Stereo Matching via Cooperative Unsupervised | learning | |
| Occlusion Aware Unsupervised | learning | of Optical Flow |
| Occlusion robust face recognition based on mask | learning | |
| Occlusion Robust Face Recognition Based on Mask | learning | With Pairwise Differential Siamese Network |
| Occlusion-aware HMM-based tracking by | learning | |
| Occlusion-Aware Unsupervised | learning | of Depth From 4-D Light Fields |
| Occupancy Flow: 4D Reconstruction by | learning | Particle Dynamics |
| Occupancy Networks: | learning | 3D Reconstruction in Function Space |
| Oceanic Mesoscale Eddy Detection Method Based on Deep | learning | |
| OCR Post-Correction Approach Using Deep | learning | for Processing Medical Reports, An |
| OctNet: | learning | Deep 3D Representations at High Resolutions |
| Of Gods and Goats: Weakly Supervised | learning | of Figurative Art |
| Off-Feature Information Incorporated Metric | learning | for Face Recognition |
| Off-Grid Compressive Sensing Algorithm Based on Sparse Bayesian | learning | for RFPA Radar, An |
| Off-Policy | learning | -Based Following Control of Cooperative Autonomous Vehicles Under Distributed Attacks |
| Off-policy Reinforcement | learning | for Efficient and Effective GAN Architecture Search |
| Off-Road Drivable Area Detection: A | learning | -Based Approach Exploiting LiDAR Reflection Texture Information |
| Offline Arabic Handwriting Recognition Using Deep | learning | : Comparative Study |
| Offline Cursive Character Challenge: a New Benchmark for Machine | learning | and Pattern Recognition Algorithms. |
| Offline handwriting image analysis to predict Alzheimer's disease via deep | learning | |
| Offline | learning | of prototypical negatives for efficient online Exemplar SVM |
| Offline Model-Based Adaptable Policy | learning | for Decision-Making in Out-of-Support Regions |
| Offshore Hydrocarbon Exploitation Target Extraction Based on Time-Series Night Light Remote Sensing Images and Machine | learning | Models: A Comparison of Six Machine Learning Algorithms and Their Multi-Feature Importance |
| Offshore Hydrocarbon Exploitation Target Extraction Based on Time-Series Night Light Remote Sensing Images and Machine | learning | Models: A Comparison of Six Machine Learning Algorithms and Their Multi-Feature Importance |
| Offshore Oil Slick Detection: From Photo-Interpreter to Explainable Multi-Modal Deep | learning | Models Using SAR Images and Contextual Data |
| OIFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised | learning | |
| Oil and Water Separation Phenomenon Inspired Loss for Feature | learning | , The |
| Oil Film Classification Using Deep | learning | -Based Hyperspectral Remote Sensing Technology |
| Oil Spill Detection in SAR Images Using Online Extended Variational | learning | of Dirichlet Process Mixtures of Gamma Distributions |
| Oil Spill Detection Using Machine | learning | and Infrared Images |
| Oil Spill Segmentation via Adversarial f-Divergence | learning | |
| OIMNet++: Prototypical Normalization and Localization-Aware | learning | for Person Search |
| OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep | learning | |
| OM-2: An online multi-class Multi-Kernel | learning | algorithm |
| OMNet: | learning | Overlapping Mask for Partial-to-Partial Point Cloud Registration |
| Omni-Scale Feature | learning | for Person Re-Identification |
| Omni-sourced Webly-supervised | learning | for Video Recognition |
| Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot | learning | |
| Omnidirectional Video Super-Resolution Using Deep | learning | |
| OmniMVS: End-to-End | learning | for Omnidirectional Stereo Matching |
| OmniZoomer: | learning | to Move and Zoom in on Sphere at High-Resolution |
| On automated source selection for transfer | learning | in convolutional neural networks |
| On better detecting and leveraging noisy samples for | learning | with severe label noise |
| On Block Prediction for | learning | -Based Point Cloud Compression |
| On Characterizing and Analyzing Diffusion Tensor Images by | learning | their Underlying Manifold Structure |
| On combining active and transfer | learning | for medical data classification |
| On Combining Multiple-Instance | learning | and Active Learning for Computer-Aided Detection of Tuberculosis |
| On Combining Multiple-Instance | learning | and Active Learning for Computer-Aided Detection of Tuberculosis |
| On complementing unsupervised | learning | with uncertainty quantification |
| On Compositions of Transformations in Contrastive Self-Supervised | learning | |
| On connections between Renyi entropy Principal Component Analysis, kernel | learning | and graph embedding |
| On Equivariant and Invariant | learning | of Object Landmark Representations |
| On fast supervised | learning | for normal mixture models with missing information |
| On Feature Combination and Multiple Kernel | learning | for Object Tracking |
| On Feature Decorrelation in Self-Supervised | learning | |
| On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and | learning | Strategies |
| On Generalizing Beyond Domains in Cross-Domain Continual | learning | |
| On Implicit Attribute Localization for Generalized Zero-Shot | learning | |
| On improving interoperability for cross-domain multi-finger fingerprint matching using coupled adversarial | learning | |
| On improving performance of surface inspection systems by online active | learning | and flexible classifier updates |
| On incremental and robust subspace | learning | |
| On incrementally using a small portion of strong unlabeled data for semi-supervised | learning | algorithms |
| On Inductive-Transductive | learning | With Graph Neural Networks |
| On Labeling Noise and Outliers for Robust Concept | learning | for Image Databases |
| On | learning | 3D Face Morphable Model from In-the-Wild Images |
| On | learning | Associations of Faces and Voices |
| On | learning | based compressed sensing for high resolution image reconstruction |
| On | learning | Conditional Random Fields for Stereo: Exploring Model Structures and Approximate Inference |
| On | learning | Contrastive Representations for Learning with Noisy Labels |
| On | learning | Contrastive Representations for Learning with Noisy Labels |
| On | learning | Density Aware Embeddings |
| On | learning | Disentangled Representations for Gait Recognition |
| On | learning | distribution alignment for video-based visible-infrared person re-identification |
| On | learning | From Inaccurate and Incomplete Traffic Flow Data |
| On | learning | Higher-Order Consistency Potentials for Multi-class Pixel Labeling |
| On | learning | optimized reaction diffusion processes for effective image restoration |
| On | learning | Random Forests for Random Forest-clustering |
| On | learning | Semantic Representations for Large-Scale Abstract Sketches |
| On | learning | Texture Edge Detectors |
| On | learning | the Geodesic Path for Incremental Learning |
| On | learning | the Geodesic Path for Incremental Learning |
| On | learning | the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector |
| On | learning | the Shape of Complex Actions |
| On | learning | to Recognize 3-D Objects from Examples |
| On machine | learning | , ROC analysis, and statistical tests of significance |
| On Meta- | learning | for Dynamic Ensemble Selection |
| On Modulating the Gradient for Meta- | learning | |
| On multi-task | learning | for facial action unit detection |
| On Neurobiological, Neuro-Fuzzy, Machine | learning | , and Statistical Pattern-Recognition Techniques |
| On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for | learning | Problems |
| On Parameter | learning | in CRF-Based Approaches to Object Class Image Segmentation |
| On Pre-trained Image Features and Synthetic Images for Deep | learning | |
| On Predicting Visual Comfort of Stereoscopic Images: A | learning | to Rank Based Approach |
| On refining dissimilarity matrices for an improved NN | learning | |
| On Reliable Multi-View Affinity | learning | for Subspace Clustering |
| On some global topological aspects of manifold | learning | |
| On supervision and statistical | learning | for semantic multimedia analysis |
| On the Acceleration of Deep | learning | Model Parallelism With Staleness |
| On the Computational Intractability of Exact and Approximate Dictionary | learning | |
| On the Confidence of Stereo Matching in a Deep- | learning | Era: A Quantitative Evaluation |
| On the Convergence of | learning | -Based Iterative Methods for Nonconvex Inverse Problems |
| On the Development of A Novel Approach for Identifying Perennial Drainage In Southern Brazil: A Study Case Integrating Sentinel-2 And High-resolution Digital Elevation Models with Machine | learning | Techniques |
| On the Development of an Acoustic-Driven Method to Improve Driver's Comfort Based on Deep Reinforcement | learning | |
| On the effect of hyperedge weights on hypergraph | learning | |
| On the Effectiveness of Deep Representation | learning | : The Atrial Fibrillation Case |
| On the Effectiveness of LayerNorm Tuning for Continual | learning | in Vision Transformers |
| On the Effectiveness of Partial Variance Reduction in Federated | learning | with Heterogeneous Data |
| On the Efficient Implementation of Sparse Bayesian | learning | -Based STAP Algorithms |
| On the efficient minimization of convex surrogates in supervised | learning | |
| On the Exploration of Joint Attribute | learning | for Person Re-identification |
| On the Feasibility of Split | learning | , Transfer Learning and Federated Learning for Preserving Security in ITS Systems |
| On the Feasibility of Split | learning | , Transfer Learning and Federated Learning for Preserving Security in ITS Systems |
| On the Feasibility of Split | learning | , Transfer Learning and Federated Learning for Preserving Security in ITS Systems |
| On the foundations of intelligent processes--I. An evolving model for pattern | learning | |
| On the generalization of | learning | -based 3D reconstruction |
| On the Global Optima of Kernelized Adversarial Representation | learning | |
| On the Identifiability of Transform | learning | for Non-Negative Matrix Factorization |
| On the Impact of Distance Metrics in Instance-Based | learning | Algorithms |
| On the Importance of Asymmetry for Siamese Representation | learning | |
| On the Importance of Denoising when | learning | to Compress Images |
| On the importance of normalisation layers in deep | learning | with piecewise linear activation units |
| On the Importance of Spatio-Temporal | learning | for Video Quality Assessment |
| On the Incremental | learning | and Recognition of the Pattern of Movement of Multiple Labelled Objects in Dynamic Scenes |
| On the Influence of Viewpoint Change for Metric | learning | |
| On the kernel Extreme | learning | Machine classifier |
| On the kernel Extreme | learning | Machine speedup |
| On the | learning | of Complex Movement Sequences |
| On the Performance of Deep | learning | Models for Respiratory Sound Classification Trained on Unbalanced Data |
| On the Possibility of Structure | learning | -Based Scene Character Detector |
| On the Robustness of Average Losses for Partial-Label | learning | |
| On the Robustness of Deep | learning | Models to Universal Adversarial Attack |
| On the sampling of web images for | learning | visual concept classifiers |
| On the Stability-Plasticity Dilemma of Class-Incremental | learning | |
| On the Synergies Between Machine | learning | and Binocular Stereo for Depth Estimation From Images: A Survey |
| On the Traceability of Results from Deep | learning | -Based Cloud Services |
| On the use of deep | learning | for blind image quality assessment |
| On the Use of the Chi-Squared Distance for the Structured | learning | of Graph Embeddings |
| On the Versatile Uses of Partial Distance Correlation in Deep | learning | |
| On the vulnerability of deep | learning | to adversarial attacks for camera model identification |
| On Training Traffic Predictors via Broad | learning | Structures: A Benchmark Study |
| On Transfer | learning | for Building Damage Assessment from Satellite Imagery in Emergency Contexts |
| On unsupervised simultaneous kernel | learning | and data clustering |
| On-Board Real-Time Ship Detection in HISEA-1 SAR Images Based on CFAR and Lightweight Deep | learning | |
| On-Board Ship Detection in Micro-Nano Satellite Based on Deep | learning | and COTS Component |
| On-demand | learning | for Deep Image Restoration |
| On-Line Classification of Data Streams with Missing Values Based on Reinforcement | learning | |
| On-line Conservative | learning | for Person Detection |
| On-line EM Variants for Multivariate Normal Mixture Model in Background | learning | and Moving Foreground Detection |
| On-Line Incremental | learning | for Vision-Guided Real-Time Navigation Using Improved Updating |
| On-line | learning | dynamic models for nerve detection in ultrasound videos |
| On-Line | learning | Mechanism for Unsupervised Classification and Topology Representation, An |
| on-line | learning | method for face association in personal photo collection, An |
| On-line | learning | of Motion Patterns using an Expert Learning Framework |
| On-line | learning | of Motion Patterns using an Expert Learning Framework |
| On-line | learning | of Mutually Orthogonal Subspaces for Face Recognition by Image Sets |
| On-line | learning | of Shape Information for Object Segmentation and Tracking |
| On-line | learning | of the transition model for Recursive Bayesian Estimation |
| On-line | learning | the graph edit distance costs |
| On-line Simultaneous | learning | and Tracking of Visual Feature Graphs |
| On-Line, Incremental | learning | of a Robust Active Shape Model |
| on-line, real-time | learning | method for detecting anomalies in videos using spatio-temporal compositions, An |
| On-the-fly | learning | for visual search of large-scale image and video datasets |
| Onboard Hyperspectral Image Compression Using Compressed Sensing and Deep | learning | |
| Once a MAN: Towards Multi-Target Attack via | learning | Multi-Target Adversarial Network Once |
| One Class One Click: Quasi scene-level weakly supervised point cloud semantic segmentation with active | learning | |
| One Shot | learning | |
| One shot | learning | gesture recognition from RGBD images |
| One Shot | learning | via Compositions of Meaningful Patches |
| One Shot | learning | with class partitioning and cross validation voting (CP-CVV) |
| One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background | learning | Algorithm |
| One-Class | learning | Towards Synthetic Voice Spoofing Detection |
| One-class Machine | learning | for Brain Activation Detection |
| One-Class Multiple Instance | learning | and Applications to Target Tracking |
| One-Class Multiple Instance | learning | via Robust PCA for Common Object Discovery |
| One-class SVM for | learning | in Image Retrieval |
| One-Pass | learning | with Incremental and Decremental Features |
| One-pass online | learning | : A local approach |
| One-per-Class reconstruction rule for class imbalance | learning | , A |
| One-Shot Action Localization by | learning | Sequence Matching Network |
| One-Shot Face Recognition via Generative | learning | |
| One-shot Face Recognition with Feature Rectification via Adversarial | learning | |
| One-Shot GAN: | learning | to Generate Samples from Single Images and Videos |
| One-Shot Generative Adversarial | learning | for MRI Segmentation of Craniomaxillofacial Bony Structures |
| One-Shot Gesture Recognition: One Step Towards Adaptive | learning | |
| One-Shot Image-to-Image Translation via Part-Global | learning | With a Multi-Adversarial Framework |
| One-Shot | learning | based classification for segregation of plastic waste |
| One-shot | learning | for acoustic identification of bird species in non-stationary environments |
| One-Shot | learning | for Deformable Medical Image Registration and Periodic Motion Tracking |
| One-shot | learning | for Human Affordance Detection |
| One-Shot | learning | for Real-Time Action Recognition |
| One-shot | learning | hand gesture recognition based on modified 3d convolutional neural networks |
| One-Shot | learning | of Human Activity With an MAP Adapted GMM and Simplex-HMM |
| One-Shot | learning | of Object Categories |
| One-Shot | learning | of Object Categories Using Dependent Gaussian Processes |
| One-Shot | learning | of Scene Locations via Feature Trajectory Transfer |
| One-Shot | learning | of Sketch Categories with Co-regularized Sparse Coding |
| One-shot | learning | of temporal sequences using a distance dependent Chinese Restaurant Process |
| One-Shot Metric | learning | for Person Re-identification |
| One-shot recognition of any material anywhere using contrastive | learning | with physics-based rendering |
| One-shot Recognition Using Unsupervised Attribute- | learning | |
| One-shot Representational | learning | for Joint Biometric and Device Authentication |
| One-step spectral clustering based on self-paced | learning | |
| One-Vote Veto: Semi-Supervised | learning | for Low-Shot Glaucoma Diagnosis |
| OneDetect: A Federated | learning | Architecture for Global Soft Biometrics Prediction |
| OneGAN: Simultaneous Unsupervised | learning | of Conditional Image Generation, Foreground Segmentation, and Fine-grained Clustering |
| Online 3D Shape Segmentation by Blended | learning | |
| Online Action Recognition via Nonparametric Incremental | learning | |
| Online Active Extreme | learning | Machine With Discrepancy Sampling for PolSAR Classification |
| Online active | learning | of decision trees with evidential data |
| Online adaptive dictionary | learning | and weighted sparse coding for abnormality detection |
| Online Adaptive Gaussian Mixture | learning | for Video Applications |
| Online Adaptive Kernel | learning | with Random Features for Large-scale Nonlinear Classification |
| Online adaptive | learning | for multi-camera people counting |
| Online anomal movement detection based on unsupervised incremental | learning | |
| Online appearance | learning | by template prediction |
| Online appearance | learning | for 3d articulated human tracking |
| Online Appearance Model | learning | and Generation for Adaptive Visual Tracking |
| Online Appearance Model | learning | for Video-Based Face Recognition |
| online approach: | learning | -Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene, An |
| online approach: | learning | -Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene, An |
| Online Asymmetric Metric | learning | With Multi-Layer Similarity Aggregation for Cross-Modal Retrieval |
| Online Asymmetric Similarity | learning | for Cross-Modal Retrieval |
| Online Audience Measurement System Based on Machine | learning | Techniques |
| Online background | learning | for illumination-robust foreground detection |
| Online Bayesian | learning | and classification of ship-to-ship interactions for port safety |
| Online burr video denoising by | learning | sparsifying transform |
| Online Class Incremental | learning | on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning |
| Online Collaborative | learning | for Open-Vocabulary Visual Classifiers |
| Online Continual | learning | For Visual Food Classification |
| Online Continual | learning | on a Contaminated Data Stream with Blurry Task Boundaries |
| Online Continual | learning | on Hierarchical Label Expansion |
| Online Continual | learning | Under Extreme Memory Constraints |
| Online Continual | learning | Via Candidates Voting |
| Online Continual | learning | with Contrastive Vision Transformer |
| Online Continual | learning | with Natural Distribution Shifts: An Empirical Study with Visual Data |
| Online convolutional dictionary | learning | |
| Online convolutional dictionary | learning | for multimodal imaging |
| Online Crowd Semantic Segmentation Method Based on Reinforcement | learning | , An |
| Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary | learning | |
| Online Deep Clustering for Unsupervised Representation | learning | |
| Online Deep | learning | Based System for Defects Detection in Glass Panels, An |
| Online Deep Reinforcement | learning | -Based Order Recommendation Framework for Rider-Centered Food Delivery System, An |
| Online Depth | learning | Against Forgetting in Monocular Videos |
| Online Dictionary | learning | for Approximate Archetypal Analysis |
| Online discriminative dictionary | learning | for visual tracking |
| Online Discriminative Multi-atlas | learning | for Isointense Infant Brain Segmentation |
| Online Discriminative Structured Output SVM | learning | for Multi-Target Tracking |
| Online Distance Metric | learning | for Object Tracking |
| Online Distillation with Continual | learning | for Cyclic Domain Shifts |
| Online domain-shift | learning | and object tracking based on nonlinear dynamic models and particle filters on Riemannian manifolds |
| Online Fast Adaptive Low-Rank Similarity | learning | for Cross-Modal Retrieval |
| Online Framework for | learning | Novel Concepts over Multiple Cues, An |
| Online gesture recognition from pose kernel | learning | and decision forests |
| Online group-structured dictionary | learning | |
| Online Heterogeneous Transfer | learning | by Weighted Offline and Online Classifiers |
| Online human-assisted | learning | using Random Ferns |
| Online Hybrid | learning | Methods for Real-Time Structural Health Monitoring Using Remote Sensing and Small Displacement Data |
| Online Hyper-Parameter | learning | for Auto-Augmentation Strategy |
| Online incremental attribute-based zero-shot | learning | |
| Online Incremental Machine | learning | Platform for Big Data-Driven Smart Traffic Management |
| Online kernel classification with adjustable bandwidth using control-based | learning | approach |
| Online kernel density estimation for interactive | learning | |
| Online Kernel | learning | for Interactive Retrieval in Dynamic Image Databases |
| Online Knowledge Distillation for Multi-task | learning | |
| Online Knowledge Distillation via Collaborative | learning | |
| Online Knowledge Distillation via Mutual Contrastive | learning | for Visual Recognition |
| Online | learning | a High-Quality Dictionary and Classifier Jointly for Multitask Object Tracking |
| Online | learning | Algorithms for Train Automatic Stop Control Using Precise Location Data of Balises |
| Online | learning | and detection of faces with low human supervision |
| Online | learning | and Detection with Part-Based, Circulant Structure |
| Online | learning | and fusion of orientation appearance models for robust rigid object tracking |
| Online | learning | and Partitioning of Linear Displacement Predictors for Tracking |
| Online | learning | and Sequential Anomaly Detection in Trajectories |
| Online | learning | Approach to Occlusion Boundary Detection, An |
| Online | learning | Asymmetric Boosted Classifiers for Object Detection |
| Online | learning | Collaborative Method for Traffic Forecasting and Routing Optimization, An |
| Online | learning | for Active Pattern-Recognition |
| Online | learning | for attention, recognition, and tracking by a single developmental framework |
| Online | learning | for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition |
| Online | learning | for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition |
| Online | learning | for Bootstrapping of Object Recognition and Localization in a Biologically Motivated Architecture |
| Online | learning | for Chance-Constrained Observer of Leading Heavy-Duty Vehicle Power Capability |
| Online | learning | for Classification Workshop |
| Online | learning | for Computer Vision Workshop |
| Online | learning | for Fast Segmentation of Moving Objects |
| Online | learning | for Human-Robot Interaction |
| Online | learning | for parameter selection in large scale image search |
| Online | learning | for PLSA-Based Visual Recognition |
| Online | learning | Framework for Sensor Fault Diagnosis Analysis in Autonomous Cars, An |
| Online | learning | from Local Features for Video-Based Face Recognition |
| Online | learning | Human Behavior for a Class of Human-in-the-Loop Systems via Adaptive Inverse Optimal Control |
| Online | learning | in biometrics: A case study in face classifier update |
| Online | learning | Method for Shadow Detection, An |
| Online | learning | of a Probabilistic and Adaptive Scene Representation |
| Online | learning | of Activities from Video |
| Online | learning | of Attributed Bi-Automata for Dialogue Management in Spoken Dialogue Systems |
| Online | learning | of Binary Feature Indexing for Real-Time SLAM Relocalization |
| Online | learning | of color transformation for interactive object recognition under various lighting conditions |
| Online | learning | of contexts for detecting suspicious behaviors in surveillance videos |
| Online | learning | of Correspondences between Images |
| Online | learning | of Discriminative Patterns from Unlimited Sequences of Candidates |
| Online | learning | of Linear Predictors for Real-Time Tracking |
| Online | learning | of mixture experts for real-time tracking |
| Online | learning | of Multi-Feature Weights for Robust Object Tracking |
| Online | learning | of patch perspective rectification for efficient object detection |
| Online | learning | of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking |
| Online | learning | of region confidences for object tracking |
| Online | learning | of Reusable Abstract Models for Object Goal Navigation |
| Online | learning | of robust facial feature trackers |
| Online | learning | of robust object detectors during unstable tracking |
| Online | learning | of Spatial-Temporal Convolution Response for Robust Real-Time Tracking |
| Online | learning | of Stochastic Bi-automaton to Model Dialogues |
| Online | learning | of task-driven object-based visual attention control |
| Online | learning | Samples and Adaptive Recovery for Robust RGB-T Tracking |
| Online | learning | Solutions for Freeway Travel Time Prediction |
| Online | learning | System for Wireless Charging Alignment Using Surround-View Fisheye Cameras, An |
| Online | learning | using projections onto shrinkage closed balls for adaptive brain-computer interface |
| Online | learning | Vector Quantization: A Harmonic Competition Approach Based on Conservation Network |
| Online | learning | with Bayesian Classification Trees |
| Online | learning | With Novelty Detection in Human-Guided Road Tracking |
| Online | learning | with Self-Organizing Maps for Anomaly Detection in Crowd Scenes |
| Online | learning | -Based Multi-Stage Complexity Control for Live Video Coding |
| Online local | learning | algorithms for linear discriminant analysis |
| Online Low-Rank Metric | learning | via Parallel Coordinate Descent Method |
| Online Low-Rank Representation | learning | for Joint Multi-Subspace Recovery and Clustering |
| Online Meta- | learning | for Multi-source and Semi-supervised Domain Adaptation |
| Online Metric | learning | Approach through Margin Maximization, An |
| Online Metric | learning | Methods Using Soft Margins and Least Squares Formulations |
| Online Multi-Expert | learning | for Visual Tracking |
| Online multi-modal task-driven dictionary | learning | and robust joint sparse representation for visual tracking |
| Online multi-person tracking with two-stage data association and online appearance model | learning | |
| Online Multi-target Tracking by Large Margin Structured | learning | |
| Online multi-task | learning | for semantic concept detection in video |
| Online Multimodal Multiexpert | learning | for Social Event Tracking |
| Online multiple instance | learning | with no regret |
| Online Multiple Kernel Parallelizable | learning | Scheme, An |
| Online Multiple Kernel Similarity | learning | for Visual Search |
| Online multiple object tracking using confidence score-based appearance model | learning | and hierarchical data association |
| Online Object Tracking, | learning | and Parsing with And-Or Graphs |
| Online pattern recognition and machine | learning | techniques for computer-vision: Theory and applications |
| Online Performance Prediction of Perception DNNs by Multi-Task | learning | With Depth Estimation |
| Online Prototype | learning | for Online Continual Learning |
| Online Prototype | learning | for Online Continual Learning |
| Online Regression of Grandmother-Cell Responses with Visual Experience | learning | for Face Recognition |
| Online Reinforcement | learning | Approach for User-Optimal Parking Searching Strategy Exploiting Unique Problem Property and Network Topology, An |
| Online Reinforcement | learning | Control for the Personalization of a Robotic Knee Prosthesis |
| Online Reinforcement | learning | for Dynamic Multimedia Systems |
| Online Reinforcement | learning | of X-Haul Content Delivery Mode in Fog Radio Access Networks |
| online reversed French Sign Language dictionary based on a | learning | approach for signs classification, An |
| Online RGB-D tracking via detection- | learning | -segmentation |
| Online Robust Dictionary | learning | |
| Online Robust Image Alignment via Subspace | learning | from Gradient Orientations |
| Online Robust Non-negative Dictionary | learning | for Visual Tracking |
| Online Robust Projective Dictionary | learning | : Shape Modeling for MR-TRUS Registration |
| Online Self- | learning | Algorithm for License Plate Matching, An |
| Online Semantic Subspace | learning | with Siamese Network for UAV Tracking |
| Online Semi-Supervised Discriminative Dictionary | learning | for Sparse Representation |
| Online semi-supervised perception: Real-time | learning | without explicit feedback |
| Online Sequential Extreme | learning | Machine-Based Active Interference Activity Prediction for Cognitive Radar |
| Online shape | learning | using binary search trees |
| Online sparse | learning | utilizing multi-feature combination for image classification |
| Online Spatio-temporal Structural Context | learning | for Visual Tracking |
| Online Stability Improvement of Grobner Basis Solvers using Deep | learning | |
| Online structural | learning | with dense samples and a weighting kernel |
| Online structure | learning | for robust object tracking |
| Online Subspace | learning | from Gradient Orientations for Robust Image Alignment |
| Online Task-free Continual | learning | with Dynamic Sparse Distributed Memory |
| Online unsupervised feature | learning | for visual tracking |
| Online Unsupervised | learning | of the 3D Kinematic Structure of Arbitrary Rigid Bodies |
| Online variational | learning | of finite inverted Beta-Liouville mixture model for biomedical analysis |
| Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement | learning | |
| Online Vicept | learning | for web-scale image understanding |
| Online-adaptive classification and regression network with sample-efficient meta | learning | for long-term tracking |
| Online-batch strongly convex Multi Kernel | learning | |
| Online- | learning | -Based Bayesian Decision Rule for Fast Intra Mode and CU Partitioning Algorithm in HEVC Screen Content Coding |
| Online- | learning | -Based Complexity Reduction Scheme for 3D-HEVC |
| Online- | learning | -Based Human Tracking Across Non-Overlapping Cameras |
| Online- | learning | -Based Mode Prediction Method for Quality Scalable Extension of the High Efficiency Video Coding (HEVC) Standard |
| Online-Offline Extreme | learning | Machine with Concept Drift Tracking for Time Series Data |
| Ontology-Assisted Object Detection: Towards the Automatic | learning | with Internet |
| OPAD: An Optimized Policy-based Active | learning | Framework for Document Content Analysis |
| OPAL: A New Algorithm for Optimal Partitioning and | learning | in Non-Parametric Unsupervised Environments |
| Opeical Flow, | learning | , Neural Networks, GAN |
| Open Data and Machine | learning | to Model the Occurrence of Fire in the Ecoregion of Llanos Colombo-Venezolanos |
| Open Deep | learning | Toolkit for Robotics (OpenDR) |
| Open Domain Generalization with Domain-Augmented Meta- | learning | |
| Open Set Action Recognition via Multi-Label Evidential | learning | |
| Open Set Incremental | learning | for Automatic Target Recognition |
| Open Set | learning | with Counterfactual Images |
| Open set transfer | learning | through distribution driven active learning |
| Open set transfer | learning | through distribution driven active learning |
| Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive | learning | |
| Open World Compositional Zero-Shot | learning | |
| Open-Set Adversarial Defense with Clean-Adversarial Mutual | learning | |
| Open-set domain adaptation for scene classification using multi-adversarial | learning | |
| Open-Set Domain Generalization via Metric | learning | |
| Open-set face identification with index-of-max hashing by | learning | |
| Open-set iris recognition based on deep | learning | |
| Open-Set Likelihood Maximization for Few-Shot | learning | |
| Open-Set Metric | learning | For Person Re-Identification In The Wild |
| Open-Set Recognition and Few-Shot | learning | Dataset for Audio Event Classification in Domestic Environments, An |
| Open-set Recognition with Supervised Contrastive | learning | |
| Open-Set Representation | learning | through Combinatorial Embedding |
| Open-Set Semi-Supervised | learning | for 3D Point Cloud Understanding |
| Open-World Multi-Task Control Through Goal-Aware Representation | learning | and Adaptive Horizon Prediction |
| Open-World Object Detection via Discriminative Class Prototype | learning | |
| Opencos: Contrastive Semi-supervised | learning | for Handling Open-set Unlabeled Data |
| Openfashionclip: Vision-and-language Contrastive | learning | with Open-source Fashion Data |
| OpenFed: A Comprehensive and Versatile Open-Source Federated | learning | Framework |
| OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental | learning | |
| OpenLDN: | learning | to Discover Novel Classes for Open-World Semi-Supervised Learning |
| OpenLDN: | learning | to Discover Novel Classes for Open-World Semi-Supervised Learning |
| OpenMP parallelization and optimization of graph-based machine | learning | algorithms |
| OpenVINO Deep | learning | Workbench: Comprehensive Analysis and Tuning of Neural Networks Inference |
| OPERA: Omni-Supervised Representation | learning | with Hierarchical Supervisions |
| Operating Electric Vehicle Fleet for Ride-Hailing Services With Reinforcement | learning | |
| Opium Poppy Detection Using Deep | learning | |
| OPML: A one-pass closed-form solution for online metric | learning | |
| Opportunities and Challenges of Geospatial Analysis for Promoting Urban Livability in the Era of Big Data and Machine | learning | |
| Opportunities for Machine | learning | and Artificial Intelligence In National Mapping Agencies: Enhancing Ordnance Survey Workflow |
| Optical Braille Recognition Based on Semantic Segmentation Network with Auxiliary | learning | Strategy |
| Optical Character Recognition for Medical Records Digitization with Deep | learning | |
| Optical character recognition using transfer | learning | decision forests |
| Optical Cloud Pixel Recovery via Machine | learning | |
| Optical Flow in Dense Foggy Scenes Using Semi-Supervised | learning | |
| Optical Flow Training Under Limited Label Budget via Active | learning | |
| Optimal Adaptive | learning | for Image Retrieval |
| Optimal Bounded Ellipsoid Identification With Deterministic and Bounded | learning | Gains: Design and Application to Euler-Lagrange Systems |
| Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement | learning | |
| Optimal deep transfer | learning | based ethnicity recognition on face images |
| Optimal EV Fast Charging Station Deployment Based on a Reinforcement | learning | Framework |
| Optimal feature | learning | and discriminative framework for polarimetric thermal to visible face recognition |
| Optimal graph | learning | with partial tags and multiple features for image and video annotation |
| Optimal Interval Clustering: Application to Bregman Clustering and Statistical Mixture | learning | |
| Optimal intra coding of HEVC by structured set prediction mode with discriminative | learning | |
| Optimal | learning | for Hopfield associative memory |
| Optimal | learning | High-Order Markov Random Fields Priors of Colour Image |
| Optimal Local Basis: A Reinforcement | learning | Approach for Face Recognition |
| Optimal MAP Parameters Estimation in STAPLE: | learning | from Performance Parameters versus Image Similarity Information |
| Optimal Proposal | learning | for Deployable End-to-End Pedestrian Detection |
| Optimal RBF Networks for Visual | learning | |
| Optimal Sensor Placement Using | learning | Models: A Mediterranean Case Study |
| Optimal Solar Zenith Angle Definition for Combined Landsat-8 and Sentinel-2A/2B Data Angular Normalization Using Machine | learning | Methods |
| Optimal sparse representations for blind source separation and blind deconvolution: a | learning | approach |
| Optimal Transport Driven CycleGAN for Unsupervised | learning | in Inverse Problems |
| Optimal Transport for Unsupervised Denoising | learning | |
| Optimal Transport with a New Preprocessing for Deep- | learning | Full Waveform Inversion |
| Optimal Wavelength Selection for Deep | learning | from Hyperspectral Images |
| Optimal, Unsupervised | learning | in Invariant Object Recognition |
| Optimality Conditions for Bilevel Imaging | learning | Problems with Total Variation Regularization |
| Optimism in the Face of Adversity: Understanding and Improving Deep | learning | Through Adversarial Robustness |
| Optimistic pruning for multiple instance | learning | |
| Optimization and | learning | for Registration of Moving Dynamic Textures |
| Optimization framework for | learning | a hierarchical shape vocabulary for object class detection |
| Optimization Method for Collaborative Radar Antijamming Based on Multi-Agent Reinforcement | learning | , An |
| Optimization Of Bit-pairing Codification With | learning | For 3d Reconstruction |
| Optimization of face recognition algorithm based on deep | learning | multi feature fusion driven by big data |
| optimization of sum-product network structure | learning | , The |
| Optimization on active | learning | strategy for object category retrieval |
| Optimization-Based Extreme | learning | Machine with Multi-kernel Learning Approach for Classification |
| Optimization-Based Extreme | learning | Machine with Multi-kernel Learning Approach for Classification |
| Optimization-Inspired | learning | with Architecture Augmentations and Control Mechanisms for Low-Level Vision |
| Optimized Assistive Human-Robot Interaction Using Reinforcement | learning | |
| Optimized Deep | learning | Architecture for the Diagnosis of Pneumonia Through Chest X-Rays |
| Optimized Deep | learning | Model as a Basis for Fast UAV Mapping of Weed Species in Winter Wheat Crops |
| Optimized Deep | learning | Model for Flood Detection Using Satellite Images |
| Optimized deep | learning | model for mango grading: Hybridizing lion plus firefly algorithm |
| Optimized feature space | learning | for generating efficient binary codes for image retrieval |
| Optimized Graph | learning | Using Partial Tags and Multiple Features for Image and Video Annotation |
| Optimized sampling distribution based on nonparametric | learning | for improved compressive sensing performance |
| Optimized-Memory Map-Reduce Algorithm for Mobile | learning | |
| Optimizing and | learning | for Super-resolution |
| Optimizing area under the ROC curve using semi-supervised | learning | |
| Optimizing chest tuberculosis image classification with oversampling and transfer | learning | |
| Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active | learning | Methods |
| Optimizing Image Compression via Joint | learning | with Denoising |
| Optimizing Kernel Functions Using Transfer | learning | from Unlabeled Data |
| Optimizing | learning | in Image Retrieval |
| Optimizing multi-graph | learning | based salient object detection |
| Optimizing Multiple Kernel | learning | for the Classification of UAV Data |
| Optimizing Nitrogen Management with Deep Reinforcement | learning | and Crop Simulations |
| Optimizing Object Detection Models via Active | learning | |
| Optimizing one-shot recognition with micro-set | learning | |
| Optimizing Radar-Based Rainfall Estimation Using Machine | learning | Models |
| Optimizing Ranking Measures for Compact Binary Code | learning | |
| Optimizing Regularized Cholesky Score for Order-Based | learning | of Bayesian Networks |
| Optimizing support vector machine | learning | for semi-arid vegetation mapping by using clustering analysis |
| Optimizing top precision performance measure of content-based image retrieval by | learning | similarity function |
| Optimizing Visual Search Reranking via Pairwise | learning | |
| Optimizing wavelet transform based on supervised | learning | for detection of microcalcifications in digital mammograms |
| OPTIMOL: automatic Online Picture collecTion via Incremental MOdel | learning | |
| Optimum Network/Framework Selection from High-Level Specifications in Embedded Deep | learning | Vision Applications |
| Optimum Subspace | learning | and Error Correction for Tensors |
| Option compatible reward inverse reinforcement | learning | |
| Option-Based Multi-Agent Reinforcement | learning | for Painting With Multiple Large-Sized Robots |
| OQFL: An Optimized Quantum-Based Federated | learning | Framework for Defending Against Adversarial Attacks in Intelligent Transportation Systems |
| Order determination and sparsity-regularized metric | learning | adaptive visual tracking |
| Order | learning | Using Partially Ordered Data via Chainization |
| Order-Constrained Representation | learning | for Instructional Video Prediction |
| Order-Statistics | learning | Vector Quantizer |
| Order-ViT: Order | learning | Vision Transformer for Cancer Classification in Pathology Images |
| Ordering and Finding the Best of K>2 Supervised | learning | Algorithms |
| Ordinal Deep Feature | learning | for Facial Age Estimation |
| Ordinal Deep | learning | for Facial Age Estimation |
| Ordinal Label Distribution | learning | |
| Ordinal space projection | learning | via neighbor classes representation |
| ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual | learning | |
| Ore image segmentation by | learning | image and shape features |
| Organ at Risk Segmentation for Head and Neck Cancer Using Stratified | learning | and Neural Architecture Search |
| Organizational Geosocial Network: A Graph Machine | learning | Approach Integrating Geographic and Public Policy Information for Studying the Development of Social Organizations in China |
| Orientation-aware leg movement | learning | for action-driven human motion prediction |
| Orientation-Guided Similarity | learning | for Person Re-identification |
| Orientational Distribution | learning | With Hierarchical Spatial Attention for Open Set Recognition |
| OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by | learning | to unfold |
| Ornithologist's Guide for Including Machine | learning | in a Workflow to Identify a Secretive Focal Species from Recorded Audio, An |
| Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot | learning | |
| Orthogonal channel attention-based multi-task | learning | for multi-view facial expression recognition |
| Orthogonal Low-Rank Projection | learning | for Robust Image Feature Extraction |
| Orthogonal optimal reverse prediction for semi-supervised | learning | |
| orthogonal regularized CCA | learning | algorithm for feature fusion, An |
| Orthogonal regularizers in deep | learning | : How to handle rectangular matrices? |
| Orthogonal Transforms For | learning | Invariant Representations In Equivariant Neural Networks |
| Orthogonality Loss: | learning | Discriminative Representations for Face Recognition |
| Orthonormal dictionary | learning | and its application to face recognition |
| OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact | learning | |
| OSLO: On-the-Sphere | learning | for Omnidirectional Images and Its Application to 360-Degree Image Compression |
| OSMWatchman: | learning | How to Detect Vandalized Contributions in OSM Using a Random Forest Classifier |
| OT-Filter: An Optimal Transport Filter for | learning | with Noisy Labels |
| Out-of-Distributed Semantic Pruning for Robust Semi-Supervised | learning | |
| Out-Of-Distribution Detection In Unsupervised Continual | learning | |
| Out-of-distribution Detection with Boundary Aware | learning | |
| Out-of-Sample Embedding for Manifold | learning | Applied to Face Recognition |
| Out-of-Sample Extension to Manifold | learning | via Meta-Modeling, An |
| Out-of-Sample Generalizations for Supervised Manifold | learning | for Classification |
| Outdoor RGBD Instance Segmentation With Residual Regretting | learning | |
| OutfitGAN: | learning | Compatible Items for Generative Fashion Outfits |
| OutfitTransformer: | learning | Outfit Representations for Fashion Recommendation |
| OUTLIER: Online | learning | and visualization of unusual events |
| Output Regularized Metric | learning | with Side Information |
| over-segmentation method for single-touching Chinese handwriting with | learning | -based filtering, An |
| Overcoming feature drifts via dynamic feature weighted k-nearest neighbor | learning | |
| Overcoming Noisy and Irrelevant Data in Federated | learning | |
| Overcoming Shortcut | learning | in a Target Domain by Generalizing Basic Visual Factors from a Source Domain |
| Overview of deep- | learning | based methods for salient object detection in videos |
| overview of statistical | learning | theory, An |
| OW-TAL: | learning | Unknown Human Activities for Open-World Temporal Action Localization |
| P-DIFF: | learning | Classifier with Noisy Labels based on Probability Difference Distributions |
| p-Learner: A Lifelong Roadside | learning | Framework for Infrastructure Augmented Autonomous Driving |
| P-MVSNet: | learning | Patch-Wise Matching Confidence Aggregation for Multi-View Stereo |
| P-N | learning | : Bootstrapping binary classifiers by structural constraints |
| P2L: Predicting Transfer | learning | for Images and Semantic Relations |
| P2T: Part-to-Target Tracking via Deep Regression | learning | |
| PA-Seg: | learning | From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation |
| PAC | learning | with generalized samples and an applicaiton to stochastic geometry |
| PAC-Bayes Meta- | learning | With Implicit Task-Specific Posteriors |
| PaCa-ViT: | learning | Patch-to-Cluster Attention in Vision Transformers |
| PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for | learning | with Noisy Labels |
| Paddy Rice Mapping in Thailand Using Time-Series Sentinel-1 Data and Deep | learning | Model |
| Paddy variety identification from field crop images using deep | learning | techniques |
| PADS: Policy-Adapted Sampling for Visual Similarity | learning | |
| PAGML: Precise Alignment Guided Metric | learning | for sketch-based 3D shape retrieval |
| Pain recognition and intensity rating based on Comparative | learning | |
| Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Progressive Step | learning | |
| Pairwise Attention Encoding for Point Cloud Feature | learning | |
| Pairwise Contrastive | learning | Network for Action Quality Assessment |
| Pairwise Feature | learning | for Unseen Plant Disease Recognition |
| Pairwise Identity Verification via Linear Concentrative Metric | learning | |
| Pairwise | learning | for the partial label ranking problem |
| Pairwise Operator | learning | for Patch-Based Single-Image Super-Resolution |
| Pairwise Proximity | learning | -Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems, A |
| Pairwise Similarity | learning | is SimPLE |
| Pairwise Sparsity Preserving Embedding for Unsupervised Subspace | learning | and Classification |
| Pairwise-Comparison-Based Rank | learning | for Benchmarking Image Restoration Algorithms |
| Palmprint recognition via discriminative index | learning | |
| PAMTRI: Pose-Aware Multi-Task | learning | for Vehicle Re-Identification Using Highly Randomized Synthetic Data |
| Pan-sharpening based on nonparametric Bayesian adaptive dictionary | learning | |
| Pan-sharpening via deep metric | learning | |
| Pancreatic Cancer Detection Using Hyperspectral Imaging and Machine | learning | |
| Panic Detection Using Machine | learning | and Real-Time Biometric and Spatiotemporal Data |
| Pano-SfMLearner: Self-Supervised Multi-Task | learning | of Depth and Semantics in Panoramic Videos |
| PanoFlow: | learning | 360° Optical Flow for Surrounding Temporal Understanding |
| Panoptic Compositional Feature Field for Editable Scene Rendering with Network-Inferred Labels via Metric | learning | |
| Panoptic-PartFormer: | learning | a Unified Model for Panoptic Part Segmentation |
| Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive | learning | |
| Papier-Mache Approach to | learning | 3D Surface Generation, A |
| PAR Contest 2023: Pedestrian Attributes Recognition with Multi-task | learning | |
| Parallax Attention for Unsupervised Stereo Correspondence | learning | |
| Parallel Accelerated Matting Method Based on Local | learning | |
| Parallel Detection-and-Segmentation | learning | for Weakly Supervised Instance Segmentation |
| Parallel Ensemble Deep | learning | for Real-Time Remote Sensing Video Multi-Target Detection |
| Parallel Gradient Blend for Class Incremental | learning | |
| Parallel-Cascaded Ensemble of Machine | learning | Models for Crop Type Classification in Google Earth Engine Using Multi-Temporal Sentinel-1/2 and Landsat-8/9 Remote Sensing Data, A |
| ParamCrop: Parametric Cubic Cropping for Video Contrastive | learning | |
| Parameter estimation and | learning | /classification threshold optimization applied to maxentropic adaptive pattern recognition |
| Parameter estimation of Poisson mixture with automated model selection through BYY harmony | learning | |
| Parameter Flexible Wildfire Prediction Using Machine | learning | Techniques: Forward and Inverse Modelling |
| Parameter | learning | with truncated message-passing |
| Parameterization of point-cloud freeform surfaces using adaptive sequential | learning | RBFnetworks |
| Parameterized Hamiltonian | learning | With Quantum Circuit |
| Parametric Contrastive | learning | |
| Parametric Depth Based Feature Representation | learning | for Object Detection and Segmentation in Bird's-Eye View |
| Parametric Eigenspace Representation for Visual | learning | and Recognition |
| Parametric | learning | of Texture Filters by Stacked Fisher Autoencoders |
| Parametric Local Multi-modal Metric | learning | for Person Re-identification |
| Parametric Local Multiview Hamming Distance Metric | learning | |
| Parametric PCA for unsupervised metric | learning | |
| Parasitic Egg Detection with a Deep | learning | Ensemble |
| parasitic metric | learning | net for breast mass classification based on mammography, A |
| ParaUDA: Invariant Feature | learning | With Auxiliary Synthetic Samples for Unsupervised Domain Adaptation |
| Pareto Improver: | learning | Improvement Heuristics for Multi-Objective Route Planning |
| Pareto Self-Supervised Training for Few-Shot | learning | |
| Pareto-Based Sparse Subspace | learning | Framework, A |
| Parkinson's Disease Classification with Self-supervised | learning | and Attention Mechanism |
| PARN: Position-Aware Relation Networks for Few-Shot | learning | |
| PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG | learning | for Emotion Recognition |
| Parsing Facades with Shape Grammars and Reinforcement | learning | |
| Parsing very high resolution urban scene images by | learning | deep ConvNets with edge-aware loss |
| Part Context | learning | for Visual Tracking |
| Part-Activated Deep Reinforcement | learning | for Action Prediction |
| Part-based Collaborative Spatio-temporal Feature | learning | for Cloth-changing Gait Recognition |
| Part-Based Robust Tracking Using Online Latent Structured | learning | |
| Part-Based Visual Tracking with Online Latent Structural | learning | |
| Part-Guided Attention | learning | for Vehicle Instance Retrieval |
| Part-Object Progressive Refinement Network for Zero-Shot | learning | |
| PartCom: Part Composition | learning | for 3D Open-Set Recognition |
| PartDistillation: | learning | Parts from Instance Segmentation |
| PartGlot: | learning | Shape Part Segmentation from Language Reference Games |
| Partial attention and multi-attribute | learning | for vehicle re-identification |
| Partial Hash Update via Hamming Subspace | learning | |
| Partial Label | learning | Based on Disambiguation Correction Net With Graph Representation |
| Partial Label | learning | via GANs With Multiclass SVMs and Information Maximization |
| Partial Multi-Label | learning | via Credible Label Elicitation |
| Partial Multi-Label | learning | With Noisy Label Identification |
| Partial Multi-Modal Hashing via Neighbor-Aware Completion | learning | |
| Partial Off-policy | learning | : Balance Accuracy and Diversity for Human-Oriented Image Captioning |
| Partial Person Re-identification with Part-Part Correspondence | learning | |
| Partial Policy-Based Reinforcement | learning | for Anatomical Landmark Localization in 3D Medical Images |
| Partial Scene Reconstruction for Close Range Photogrammetry Using Deep | learning | Pipeline for Region Masking |
| Partial Transfer | learning | with Selective Adversarial Networks |
| Partial Visual-Tactile Fused | learning | for Robotic Object Recognition |
| Partially Shared Multi-task Convolutional Neural Network with Local Constraint for Face Attribute | learning | |
| partially supervised | learning | algorithm for linearly separable systems, A |
| Partially supervised | learning | for pattern recognition |
| Partially View-aligned Representation | learning | with Noise-robust Contrastive Loss |
| Participant Selection for Federated | learning | With Heterogeneous Data in Intelligent Transport System |
| Participatory Mapping as a Didactic and Auxiliary Tool for | learning | Community Integration, Technology Transference, and Natural Resource Management |
| Particle Filter Design Based on Reinforcement | learning | and Its Application to Mobile Robot Localization |
| Particle Filter Tracking with Online Multiple Instance | learning | |
| particle swarm optimization based simultaneous | learning | framework for clustering and classification, A |
| PARTICLE: Part Discovery and Contrastive | learning | for Fine-grained Recognition |
| Partition Sampling: An Active | learning | Selection Strategy for Large Database Annotation |
| Partition Speeds Up | learning | Implicit Neural Representations Based on Exponential-Increase Hypothesis |
| Partitioning Global Surface Energy and Their Controlling Factors Based on Machine | learning | |
| Partitioning Image Representation in Contrastive | learning | |
| PartManip: | learning | Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations |
| Partner-Assisted | learning | for Few-Shot Image Classification |
| Parts-based multi-task sparse | learning | for visual tracking |
| Parts2Words: | learning | Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words |
| Pascal: Pattern Analysis, Statistical Modelling and Computational | learning | |
| PassGoodPool: Joint Passengers and Goods Fleet Management With Reinforcement | learning | Aided Pricing, Matching, and Route Planning |
| Passive-Aggressive for On-Line | learning | in Statistical Machine Translation |
| Passive-Aggressive online | learning | with nonlinear embeddings |
| Passthrough Mixed Reality With Oculus Quest 2: A Case Study on | learning | Piano |
| Pasture Biomass Estimation Using Ultra-High-Resolution RGB UAVs Images and Deep | learning | |
| Patagonian Andes Landslides Inventory: The Deep | learning | 's Way to Their Automatic Detection |
| Patch Based Latent Fingerprint Matching Using Deep | learning | |
| patch distribution-based active | learning | method for multiple instance Alzheimer's disease diagnosis, A |
| Patch Group Based Bayesian | learning | for Blind Image Denoising |
| Patch Group Based Nonlocal Self-Similarity Prior | learning | for Image Denoising |
| Patch-Based Discriminative Feature | learning | for Unsupervised Person Re-Identification |
| Patch-Based Discriminative | learning | for Remote Sensing Scene Classification |
| Patch-based fire detection with online outlier | learning | |
| Patch-Based Hippocampus Segmentation Using a Local Subspace | learning | Method |
| Patch-Based Low-Rank Matrix Completion for | learning | of Shape and Motion Models from Few Training Samples |
| Patch-based offline signature verification using one-class hierarchical deep | learning | |
| Patch-Based Output Space Adversarial | learning | for Joint Optic Disc and Cup Segmentation |
| Patch-level Representation | learning | for Self-supervised Vision Transformers |
| Patch-wise Contrastive Style | learning | for Instagram Filter Removal |
| Patch2CAD: Patchwise Embedding | learning | for In-the-Wild Shape Retrieval from a Single Image |
| Patchattack: A Black-box Texture-based Attack with Reinforcement | learning | |
| Patching Your Clothes: Semantic-Aware | learning | for Cloth-Changed Person Re-Identification |
| PatchMix Augmentation to Identify Causal Features in Few-Shot | learning | |
| PatchRD: Detail-Preserving Shape Completion by | learning | Patch Retrieval and Deformation |
| PatchVAE: | learning | Local Latent Codes for Recognition |
| Patchwise Generative ConvNet: Training Energy-Based Models from a Single Natural Image for Internal | learning | |
| Patchwise Sparse Dictionary | learning | from pre-trained Neural Network Activation Maps for Anomaly Detection in Images |
| Path Following Optimization for an Underactuated USV Using Smoothly-Convergent Deep Reinforcement | learning | |
| Path tracking control for autonomous vehicles with saturated input: A fuzzy fixed-time | learning | control approach |
| Path-Analysis-Based Reinforcement | learning | Algorithm for Imitation Filming |
| Path-Guided Model-Free Flocking Control of Unmanned Surface Vehicles Based on Concurrent | learning | Extended State Observers |
| Path-Restore: | learning | Network Path Selection for Image Restoration |
| PathAL: An Active | learning | Framework for Histopathology Image Analysis |
| Pathnet: | learning | To Generate Trajectories Avoiding Obstacles |
| Pathology Deep | learning | System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth *, A |
| Pathology-Based Ischemic Stroke Etiology Classification via Clot Composition Guided Multiple Instance | learning | |
| Patient Aware Active | learning | for Fine-Grained OCT Classification |
| Patient-by-Patient Deep Transfer | learning | for Drug-Response Profiling Using Confocal Fluorescence Microscopy of Pediatric Patient-Derived Tumor-Cell Spheroids |
| Patient-level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast | learning | and Group Patch Embeddings |
| Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep | learning | |
| Patient-Specific Model for Predicting Tibia Soft Tissue Insertions From Bony Outlines Using a Spatial Structure Supervised | learning | Framework, A |
| Pattern classification and clustering: A review of partially supervised | learning | approaches |
| Pattern Recognition and Machine | learning | |
| Pattern recognition and Valiant's | learning | framework |
| Pattern Recognition | learning | Applied to Stereovision Matching |
| pattern reordering approach based on ambiguity detection for online category | learning | , A |
| Pattern-Coupled Sparse Bayesian | learning | for Inverse Synthetic Aperture Radar Imaging |
| Pattern-Structure Diffusion for Multi-Task | learning | |
| Patterns in Poor | learning | Engagement in Students While They Are Solving Mathematics Exercises in an Affective Tutoring System Related to Frustration |
| Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution | learning | |
| Paying attention for adjacent areas: | learning | discriminative features for large-scale 3D scene segmentation |
| Payload-Independent Direct Cost | learning | for Image Steganography |
| PC-Net: Unsupervised Point Correspondence | learning | with Neural Networks |
| PCAF-Net: A liver segmentation network based on deep | learning | |
| PCAN: 3D Attention Map | learning | Using Contextual Information for Point Cloud Based Retrieval |
| PCANet: A Simple Deep | learning | Baseline for Image Classification? |
| PCB-METAL: A PCB Image Dataset for Advanced Computer Vision Machine | learning | Component Analysis |
| PCCA: A new approach for distance | learning | from sparse pairwise constraints |
| PcGAN: A Noise Robust Conditional Generative Adversarial Network for One Shot | learning | |
| PCL: Proposal Cluster | learning | for Weakly Supervised Object Detection |
| PCL: Proxy-based Contrastive | learning | for Domain Generalization |
| PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual | learning | |
| PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad | learning | |
| pDisVPL: Probabilistic Discriminative Visual Part | learning | for Image Classification |
| PDM-ENLOR: | learning | Ensemble of Local PDM-Based Regressions |
| PeaceGAN: A GAN-Based Multi-Task | learning | Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier |
| PeakConv: | learning | Peak Receptive Field for Radar Semantic Segmentation |
| Peaking Phenomenon in Semi-supervised | learning | , The |
| PEAL: Prior-embedded Explicit Attention | learning | for Low-overlap Point Cloud Registration |
| Pedestrian Behavior Prediction Using Deep | learning | Methods for Urban Scenarios: A Review |
| pedestrian classification method based on transfer | learning | , A |
| Pedestrian Detection Aided by Deep | learning | Semantic Tasks |
| Pedestrian detection based on sparse coding and transfer | learning | |
| Pedestrian Detection by Exemplar-Guided Contrastive | learning | |
| Pedestrian Detection in Aerial Images Using Vanishing Point Transformation and Deep | learning | |
| Pedestrian detection in highly crowded scenes using online dictionary | learning | for occlusion handling |
| Pedestrian detection in images via cascaded L1-norm minimization | learning | method |
| Pedestrian Detection in Low-Resolution Imagery by | learning | Multi-scale Intrinsic Motion Structures (MIMS) |
| Pedestrian detection using multi-channel visual feature fusion by | learning | deep quality model |
| Pedestrian Detection with Spatially Pooled Features and Structured Ensemble | learning | |
| Pedestrian Detection with Unsupervised Multi-stage Feature | learning | |
| Pedestrian flow monitoring system based on Deep | learning | pipeline |
| Pedestrian recognition in multi-camera networks using multilevel important salient feature and multicategory incremental | learning | |
| Pedestrian tracking by | learning | deep features |
| Pedestrian Tracking Using Online Boosted Random Ferns | learning | in Far-Infrared Imagery for Safe Driving at Night |
| Peer-to-Peer Federated Continual | learning | for Naturalistic Driving Action Recognition |
| Penalized PET Reconstruction Using Deep | learning | Prior and Local Linear Fitting |
| People counting by | learning | their appearance in a multi-view camera environment |
| People re-identification using two-stage transfer metric | learning | |
| People Recognition in Image Sequences by Supervised | learning | |
| Per-Cluster Ensemble Kernel | learning | for Multi-Modal Image Clustering With Group-Dependent Feature Selection |
| Per-patch metric | learning | for robust image matching |
| Per-Sample Multiple Kernel Approach for Visual Concept | learning | |
| Perceive Where to Focus: | learning | Visibility-Aware Part-Level Features for Partial Person Re-Identification |
| Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement | learning | |
| Perception-Based | learning | for Motion in Contact in Task Planning |
| Perception-Inspired Deep | learning | Framework for Predicting Perceptual Texture Similarity, A |
| Perceptron | learning | of Modified Quadratic Discriminant Function |
| Perceptual Audio Watermarking by | learning | in Wavelet Domain |
| Perceptual Authentication Hashing for Digital Images With Contrastive Unsupervised | learning | |
| Perceptual Grouping, Saliency, Neural Networks, | learning | |
| Perceptual quality assessment of video using machine | learning | algorithm |
| Perceptual Quality Study on Deep | learning | Based Image Compression |
| Perceptual quality-preserving black-box attack against deep | learning | image classifiers |
| Perceptual stereoscopic image quality assessment method with tensor decomposition and manifold | learning | |
| Perceptual Underwater Image Enhancement With Deep | learning | and Physical Priors |
| Perceptually | learning | multi-view sparse representation for scene categorization |
| PerDet: Machine- | learning | -Based UAV GPS Spoofing Detection Using Perception Data |
| Performance Analysis for Channel-Weighted Federated | learning | in OMA Wireless Networks |
| Performance and Efficiency Analysis of a Linear | learning | -Based Prediction Model Used for Unintended Lane-Departure Detection |
| Performance Assessment of Four Data-Driven Machine | learning | Models: A Case to Generate Sentinel-2 Albedo at 10 Meters |
| Performance Comparison of Deep | learning | (DL)-Based Tabular Models for Building Mapping Using High-Resolution Red, Green, and Blue Imagery and the Geographic Object-Based Image Analysis Framework |
| Performance Comparison of Machine | learning | Algorithms for Estimating the Soil Salinity of Salt-Affected Soil Using Field Spectral Data |
| Performance Comparison of Machine | learning | Models for Annual Precipitation Prediction Using Different Decomposition Methods |
| Performance Evaluation of Machine | learning | Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images |
| Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine | learning | Algorithms |
| Performance evaluation of Shannon and non-Shannon fuzzy 2-partition entropies for image segmentation using teaching- | learning | -based optimisation |
| Performance Evaluation of Students Using Multimodal | learning | Systems |
| Performance Improvement by Input Adaption Using Modified Hebbian | learning | |
| Performance Improvement of Deep | learning | Based Gesture Recognition Using Spatiotemporal Demosaicing Technique |
| Performance Improvement of Dot-Matrix Character Recognition by Variation Model Based | learning | |
| Performance of Deep | learning | Algorithms vs. Shallow Models, in Extreme Conditions - Some Empirical Studies |
| Performance of Deep | learning | and Traditional Techniques in Single Image Super-resolution of Noisy Images |
| Performance of deep | learning | in mapping water quality of Lake Simcoe with long-term Landsat archive |
| PergaNet: A Deep | learning | Framework for Automatic Appearance-Based Analysis of Ancient Parchment Collections |
| Perils of | learning | From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning, The |
| Perils of | learning | From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning, The |
| Perimeter-intrusion event classification for on-line detection using multiple instance | learning | solving temporal ambiguities |
| Periocular Recognition Using Unsupervised Convolutional RBM Feature | learning | |
| Periodicity counting in videos with unsupervised | learning | of cyclic embeddings |
| Permeable Breakwaters Performance Modeling: A Comparative Study of Machine | learning | Techniques |
| Permute Me Softly: | learning | Soft Permutations for Graph Representations |
| Persistent Issues in | learning | and Estimation |
| Person Attribute Recognition by Sequence Contextual Relation | learning | |
| Person Foreground Segmentation by | learning | Multi-Domain Networks |
| Person re-identification based on deep | learning | : An overview |
| Person Re-identification Based on Feature Erasure and Diverse Feature | learning | |
| Person Re-identification Based on Multi-directional Saliency Metric | learning | |
| Person Re-identification by Deep | learning | Attribute-Complementary Information |
| Person Re-identification by Deep | learning | Multi-scale Representations |
| Person Re-Identification by Deep | learning | Muti-Part Information Complementary |
| Person re-identification by discriminant analytical least squares metric | learning | |
| Person re-identification by distance metric | learning | to discrete hashing |
| Person Re-Identification by Dual-Regularized KISS Metric | learning | |
| Person Re-identification by Efficient Impostor-Based Metric | learning | |
| Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric | learning | |
| Person re-identification by Local Maximal Occurrence representation and metric | learning | |
| Person re-identification by multiple instance metric | learning | with impostor rejection |
| Person Re-Identification by Regularized Smoothing KISS Metric | learning | |
| Person Re-Identification by Saliency | learning | |
| Person Re-Identification by Unsupervised L1 Graph | learning | |
| Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric | learning | |
| Person re-identification using deformable patch metric | learning | |
| Person Re-Identification Using Kernel-Based Metric | learning | Methods |
| Person Re-Identification via Distance Metric | learning | With Latent Variables |
| Person re-identification via integrating patch-based metric | learning | and local salience learning |
| Person re-identification via integrating patch-based metric | learning | and local salience learning |
| Person Re-Identification with Correspondence Structure | learning | |
| Person Re-Identification With Metric | learning | Using Privileged Information |
| Person re-identification: Implicitly defining the receptive fields of deep | learning | classification frameworks |
| Person Reidentification by Kernel PCA Based Appearance | learning | |
| Person Reidentification by Minimum Classification Error-Based KISS Metric | learning | |
| Person Reidentification Using Attribute-Restricted Projection Metric | learning | |
| Person Reidentification Using Deep Convnets With Multitask | learning | |
| Person Reidentification via Unsupervised Cross-View Metric | learning | |
| Person Search by a Bi-Directional Task-Consistent | learning | Model |
| Person Search by Text Attribute Query As Zero-Shot | learning | |
| Person search over security video surveillance systems using deep | learning | methods: A review |
| Person-specific expression recognition with transfer | learning | |
| Person-specific face recognition in unconstrained environments: A combination of offline and online | learning | |
| Personal digital bodyguards for e-security, e- | learning | and e-health: A prospective survey |
| Personality Assessment Based on Multimodal Attention Network | learning | With Category-Based Mean Square Error |
| Personality modeling from image aesthetic attribute-aware graph representation | learning | |
| Personality-Assisted Multi-Task | learning | for Generic and Personalized Image Aesthetics Assessment |
| Personalizable Pen-Based Interface Using Lifelong | learning | |
| Personalization of AI Models Based on Federated | learning | for Driver Stress Monitoring |
| Personalization of AI Models Based on Federated | learning | for Driver Stress Monitoring |
| Personalized Age Progression with Bi-Level Aging Dictionary | learning | |
| Personalized Car-Following Control Based on a Hybrid of Reinforcement | learning | and Supervised Learning |
| Personalized Car-Following Control Based on a Hybrid of Reinforcement | learning | and Supervised Learning |
| Personalized Cinemagraphs Using Semantic Understanding and Collaborative | learning | |
| Personalized Driver Workload Inference by | learning | From Vehicle Related Measurements |
| Personalized Expression Synthesis Using a Hybrid Geometric-Machine | learning | Method |
| Personalized Face Authentication Based on Few-Shot Meta- | learning | |
| Personalized Freight Route Recommendations With System Optimality Considerations: A Utility | learning | Approach |
| Personalized Image Aesthetics Assessment via Meta- | learning | With Bilevel Gradient Optimization |
| Personalized image annotation via class-specific cross-domain | learning | |
| Personalized Latent Structure | learning | for Recommendation |
| Personalized Models in Human Activity Recognition using Deep | learning | |
| Personalized Multitask | learning | for Predicting Tomorrow's Mood, Stress, and Health |
| Personalized Recommendation of Photography Based on Deep | learning | |
| Personalized Retrogress-Resilient Federated | learning | Toward Imbalanced Medical Data |
| Perspective distortion modeling, | learning | and compensation |
| Perspectively Equivariant Keypoint | learning | for Omnidirectional Images |
| Perturbation LDA: | learning | the difference between the class empirical mean and its expectation |
| Perturbation scheme for online | learning | of features: Incremental principal component analysis |
| PFRL: Pose-Free Reinforcement | learning | for 6D Pose Estimation |
| PGFed: Personalize Each Client's Global Objective for Federated | learning | |
| PGFNet: Preference-Guided Filtering Network for Two-View Correspondence | learning | |
| Phase Retrieval With | learning | Unfolded Expectation Consistent Signal Recovery Algorithm |
| Phase Retrieval: From Computational Imaging to Machine | learning | : A tutorial |
| Phase Space Reconstruction Driven Spatio-Temporal Feature | learning | for Dynamic Facial Expression Recognition |
| Phase-based | learning | for micro-baseline depth estimation |
| Phase-Sensitive Joint | learning | Algorithms for Deep Learning-Based Speech Enhancement |
| Phase-Sensitive Joint | learning | Algorithms for Deep Learning-Based Speech Enhancement |
| PhaseNet 2.0: Phase Unwrapping of Noisy Data Based on Deep | learning | Approach |
| PhD | learning | : Learning with Pompeiu-hausdorff Distances for Video-based Vehicle Re-Identification |
| PhD | learning | : Learning with Pompeiu-hausdorff Distances for Video-based Vehicle Re-Identification |
| Phenological Classification Using Deep | learning | and the Sentinel-2 Satellite to Identify Priority Afforestation Sites in North Korea |
| PhenoNet: A two-stage lightweight deep | learning | framework for real-time wheat phenophase classification |
| Photo Filter Recommendation by Category-Aware Aesthetic | learning | |
| Photo Shot-Type Disambiguation by Multi-Classifier Semi-Supervised | learning | |
| Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep | learning | |
| Photorealistic Monocular Gaze Redirection Using Machine | learning | |
| Photovoltaics Plant Fault Detection Using Deep | learning | Techniques |
| PhygitalNet: Unified Face Presentation Attack Detection via One-Class Isolation | learning | |
| Physical Features and Deep | learning | -based Appearance Features for Vehicle Classification from Rear View Videos |
| Physical Representation | learning | and Parameter Identification from Video Using Differentiable Physics |
| Physically Constrained Transfer | learning | Through Shared Abundance Space for Hyperspectral Image Classification |
| Physics 101: | learning | Physical Object Properties from Unlabeled Videos |
| Physics Based Vision Meets Deep | learning | |
| Physics Informed Deep Reinforcement | learning | for Aircraft Conflict Resolution |
| Physics-Based Deep | learning | Approach to Shadow Invariant Representations of Hyperspectral Images, A |
| Physics-Constrained Deep | learning | of Geomechanical Logs |
| Physics-Driven Deep | learning | for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging |
| Physics-Driven Deep | learning | for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging |
| Physics-Driven Deep | learning | Inversion with Application to Magnetotelluric |
| Physics-Driven Deep | learning | Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks |
| Physics-Driven Machine | learning | for Computational Imaging: Part 2 |
| Physics-Driven Synthetic Data | learning | for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence |
| Physics-Embedded Machine | learning | for Electromagnetic Data Imaging: Examining three types of data-driven imaging methods |
| Physics-Enhanced Machine | learning | for Virtual Fluorescence Microscopy |
| Physics-Informed Deep | learning | Inversion with Application to Noisy Magnetotelluric Measurements |
| Physics-Informed Deep | learning | Paradigm for Traffic State and Fundamental Diagram Estimation, A |
| PhysXNet: A Customizable Approach for | learning | Cloth Dynamics on Dressed People |
| PI-Net: A Deep | learning | Approach to Extract Topological Persistence Images |
| PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net with Discrete Feedback | learning | |
| PiCANet: | learning | Pixel-Wise Contextual Attention for Saliency Detection |
| PiCANet: Pixel-Wise Contextual Attention | learning | for Accurate Saliency Detection |
| Picasso: A CUDA-based Library for Deep | learning | over 3D Meshes |
| Pick-and-Place Transform | learning | for Fast Multi-View Clustering |
| PICK: Processing Key Information Extraction from Documents using Improved Graph | learning | -Convolutional Networks |
| Picking Groups Instead of Samples: A Close Look at Static Pool-Based Meta-Active | learning | |
| PiCO+: Contrastive Label Disambiguation for Robust Partial Label | learning | |
| Piecewise Classifier Mappings: | learning | Fine-Grained Learners for Novel Categories With Few Examples |
| Piecewise-Linear Classifiers, Formal Neurons and Separability of the | learning | Sets |
| Piggyback GAN: Efficient Lifelong | learning | for Image Conditioned Generation |
| Piggyback: Adapting a Single Network to Multiple Tasks by | learning | to Mask Weights |
| Pin the Memory: | learning | to Generalize Semantic Segmentation |
| PINA: | learning | a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence |
| PINER: Prior-informed Implicit Neural Representation | learning | for Test-time Adaptation in Sparse-view CT Reconstruction |
| PIVOT: Prompting for Video Continual | learning | |
| PivotNet: Vectorized Pivot | learning | for End-to-end HD Map Construction |
| Pix2Point: | learning | Outdoor 3D Using Sparse Point Clouds and Optimal Transport |
| Pix2Shape: Towards Unsupervised | learning | of 3D Scenes from Images Using a View-Based Representation |
| Pix2Surf: | learning | Parametric 3d Surface Models of Objects from Images |
| Pixel Objectness: | learning | to Segment Generic Objects Automatically in Images and Videos |
| Pixel-Based Skin Segmentation in Psoriasis Images Using Committee of Machine | learning | Classifiers, A |
| Pixel-level Contrastive | learning | of Driving Videos with Optical Flow |
| Pixel-level Corrosion Detection on Metal Constructions by Fusion of Deep | learning | Semantic and Contour Segmentation |
| Pixel-Level Cracking Detection on 3D Asphalt Pavement Images Through Deep- | learning | - Based CrackNet-V |
| Pixel-Wise Energy-Biased Abstention | learning | for Anomaly Segmentation on Complex Urban Driving Scenes |
| Pixelhop++: A Small Successive-Subspace- | learning | -Based (SSL-Based) Model For Image Classification |
| PixelHop: A successive subspace | learning | (SSL) method for object recognition |
| PixelRL: Fully Convolutional Network With Reinforcement | learning | for Image Processing |
| Pixelwise Deep Sequence | learning | for Moving Object Detection |
| Place Recognition and Online | learning | in Dynamic Scenes with Spatio-Temporal Landmarks |
| Place Recognition in Gardens by | learning | Visual Representations: Data Set and Benchmark Analysis |
| PLACE: Proximity | learning | of Articulation and Contact in 3D Environments |
| Placing Human Animations into 3D Scenes by | learning | Interaction- and Geometry-Driven Keyframes |
| PLAD: | learning | to Infer Shape Programs with Pseudo-Labels and Approximate Distributions |
| Planar 3D Transfer | learning | for End to End Unimodal MRI Unbalanced Data Segmentation |
| Planar Pose Estimation Using Object Detection and Reinforcement | learning | |
| PlaneRecTR: Unified Query | learning | for 3D Plane Recovery from a Single View |
| Planes vs. Chairs: Category-Guided 3D Shape | learning | Without any 3D Cues |
| Planet Image-Based Inventorying and Machine | learning | -Based Susceptibility Mapping for the Landslides Triggered by the 2018 Mw6.6 Tomakomai, Japan Earthquake |
| Plankton classification on imbalanced large scale database via convolutional neural networks with transfer | learning | |
| Plant Counting of Cotton from UAS Imagery Using Deep | learning | -Based Object Detection Framework |
| Plant Density Estimation Using UAV Imagery and Deep | learning | |
| Plant Disease Detection Using Advanced Deep | learning | Algorithms: A Case Study of Papaya Ring Spot Disease |
| Plant Disease Diagnosis Using Deep | learning | Based on Aerial Hyperspectral Images: A Review |
| Plant leaf disease detection using deep | learning | on mobile devices |
| Plant Leaf Identification via a Growing Convolution Neural Network with Progressive Sample | learning | |
| Plant-Denoising-Net (PDN): A plant point cloud denoising network based on density gradient field | learning | |
| Plastic and Stable Gated Classifiers for Continual | learning | |
| Playhist: Play and Learn History. | learning | with a Historical Game vs An Interactive Film |
| Plenty is Plague: Fine-Grained | learning | for Visual Question Answering |
| PLFace: Progressive | learning | for Face Recognition with Mask Bias |
| Plmcl: Partial-label Momentum Curriculum | learning | for Multi-label Image Classification |
| PLOP: | learning | without Forgetting for Continual Semantic Segmentation |
| Plot-Based Classification of Macronutrient Levels in Oil Palm Trees with Landsat-8 Images and Machine | learning | |
| pLSA-based zero-shot | learning | |
| plug-in attribute correction module for generalized zero-shot | learning | , A |
| Plugin of Recommendation Based on a Hybrid Method for the Ranking of Documents in the E- | learning | Platforms |
| PM-GANs: Discriminative Representation | learning | for Action Recognition Using Partial-Modalities |
| PM2.5 Concentration Forecasting over the Central Area of the Yangtze River Delta Based on Deep | learning | Considering the Spatial Diffusion Process |
| PM2.5 Estimation in Day/Night-Time from Himawari-8 Infrared Bands via a Deep | learning | Neural Network |
| PMHLD: Patch Map-Based Hybrid | learning | DehazeNet for Single Image Haze Removal |
| PML-LocNet: Improving Object Localization With Prior-Induced Multi-View | learning | Network |
| PMP-Net: Point Cloud Completion by | learning | Multi-step Point Moving Paths |
| PMR: Prototypical Modal Rebalance for Multimodal | learning | |
| PNP: Robust | learning | from Noisy Labels by Probabilistic Noise Prediction |
| PNSP: Overcoming catastrophic forgetting using Primary Null Space Projection in continual | learning | |
| PODD: A Dual-Task Detection for Greenhouse Extraction Based on Deep | learning | |
| Podnet: Pooled Outputs Distillation for Small-tasks Incremental | learning | |
| Point Cloud Completion of Foot Shape from a Single Depth Map for Fit Matching Using Deep | learning | View Synthesis |
| Point Cloud Geometry and Color Coding in a | learning | -Based Ecosystem for JPEG Coding Standards |
| Point Cloud Geometry Prediction Across Spatial Scale using Deep | learning | |
| Point Cloud Geometry Scalable Coding With a Single End-to-End Deep | learning | Model |
| Point Cloud Oversegmentation With Graph-Structured Deep Metric | learning | |
| Point Cloud Registration with Self-supervised Feature | learning | and Beam Search |
| Point Cloud Semantic Segmentation Using a Deep | learning | Framework for Cultural Heritage |
| Point Cloud Upsampling via Perturbation | learning | |
| Point cloud-based scene flow estimation on realistically deformable objects: A benchmark of deep | learning | -based methods |
| Point Contrastive Prediction with Semantic Clustering for Self-Supervised | learning | on Point Cloud Videos |
| Point Light Source Position Estimation From RGB-D Images by | learning | Surface Attributes |
| Point Spread Function Field | learning | Based on Optimal Transport Distances |
| Point to Set Similarity Based Deep Feature | learning | for Person Re-Identification |
| Point-2s reinforcement | learning | biomimetic model for estimating and analyzing human 3D motion posture, A |
| point-based deep | learning | network for semantic segmentation of MLS point clouds, A |
| Point-based rendering enhancement via deep | learning | |
| Point-Guided Contrastive | learning | for Monocular 3-D Object Detection |
| Point-level feature | learning | based on vision transformer for occluded person re-identification |
| Point-set Distances for | learning | Representations of 3D Point Clouds |
| Point-to-Set Distance Metric | learning | on Deep Representations for Visual Tracking |
| Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary | learning | |
| Point2FFD: | learning | Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization |
| Point2Skeleton: | learning | Skeletal Representations from Point Clouds |
| PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world | learning | |
| PointCLM: A Contrastive | learning | -based Framework for Multi-instance Point Cloud Registration |
| PointCMP: Contrastive Mask Prediction for Self-supervised | learning | on Point Cloud Videos |
| Pointfish: | learning | Point Cloud Representations for RNA Localization Patterns |
| PointFix: | learning | to Fix Domain Bias for Robust Online Stereo Adaptation |
| PointFlowNet: | learning | Representations for Rigid Motion Estimation From Point Clouds |
| PointGLR: Unsupervised Structural Representation | learning | of 3D Point Clouds |
| Pointhop++: A Lightweight | learning | Model on Point Sets for 3D Classification |
| PointHop: An Explainable Machine | learning | Method for Point Cloud Classification |
| PointListNet: Deep | learning | on 3D Point Lists |
| PointMotionNet: Point-Wise Motion | learning | for Large-Scale LiDAR Point Clouds Sequences |
| PointNet: Deep | learning | on Point Sets for 3D Classification and Segmentation |
| PointNeuron: 3D Neuron Reconstruction via Geometry and Topology | learning | of Point Clouds |
| PointRas: Uncertainty-Aware Multi-Resolution | learning | for Point Cloud Segmentation |
| Points2surf | learning | Implicit Surfaces from Point Clouds |
| PointSpherical: Deep Shape Context for Point Cloud | learning | in Spherical Coordinates |
| Poisson-Based Distribution | learning | Framework for Short-Term Prediction of Food Delivery Demand Ranges, A |
| Polar-Spatial Feature Fusion | learning | With Variational Generative-Discriminative Network for PolSAR Classification |
| Polarimetric Imaging via Deep | learning | : A Review |
| Polarimetric Scattering Characteristics-Guided Adversarial | learning | Approach for Unsupervised PolSAR Image Classification, A |
| Polarization-Imaging-Based Machine | learning | Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions, A |
| PolGAN: A deep- | learning | -based unsupervised forest height estimation based on the synergy of PolInSAR and LiDAR data |
| Policy-Based Reinforcement | learning | for Training Autonomous Driving Agents in Urban Areas With Affordance Learning |
| Policy-Based Reinforcement | learning | for Training Autonomous Driving Agents in Urban Areas With Affordance Learning |
| PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement | learning | |
| Polka Lines: | learning | Structured Illumination and Reconstruction for Active Stereo |
| Pollen Grain Recognition Using Deep | learning | |
| POLO: | learning | Explicit Cross-Modality Fusion for Temporal Action Localization |
| Polsar data online classification based on multi-view | learning | |
| Polygonal Building Extraction by Frame Field | learning | |
| Polynomial Trajectory Predictions for Improved | learning | Performance |
| Polyp Activity Estimation and Monitoring for Cold Water Corals with a Deep | learning | Approach |
| Polyp Detection via Imbalanced | learning | and Discriminative Feature Learning |
| Polyp Detection via Imbalanced | learning | and Discriminative Feature Learning |
| PolyphonicFormer: Unified Query | learning | for Depth-Aware Video Panoptic Segmentation |
| PONI: Potential Functions for ObjectGoal Navigation with Interaction-free | learning | |
| Pool-based unsupervised active | learning | for regression using iterative representativeness-diversity maximization (iRDM) |
| Pop-Out Motion: 3D-Aware Image Deformation via | learning | the Shape Laplacian |
| Populating 3D Scenes by | learning | Human-Scene Interaction |
| Population Spatialization in Beijing City Based on Machine | learning | and Multisource Remote Sensing Data |
| Population-Based Incremental Interactive Concept | learning | for Image Retrieval by Stochastic String Segmentations |
| Pornographic Image Recognition via Weighted Multiple Instance | learning | |
| Portable and Low-Cost E- | learning | Video Capture System, A |
| Pose aligned modality-invariant feature | learning | for NIR-VIS heterogeneous face recognition |
| Pose based activity recognition using Multiple Kernel | learning | |
| Pose estimation using facial feature points and manifold | learning | |
| Pose Flow | learning | From Person Images for Pose Guided Synthesis |
| Pose Guided RGBD Feature | learning | for 3D Object Pose Estimation |
| Pose transforming network: | learning | to disentangle human posture in variational auto-encoded latent space |
| Pose-based Contrastive | learning | for Domain Agnostic Activity Representations |
| Pose-disentangled Contrastive | learning | for Self-supervised Facial Representation |
| Pose-Guided Attention | learning | for Cloth-Changing Person Re-Identification |
| Pose-Guided Complementary Features | learning | for Amur Tiger Re-Identification |
| Pose-guided model for driving behavior recognition using keypoint action | learning | |
| Pose-Guided Representation | learning | for Person Re-Identification |
| Pose-Independent Facial Action Unit Intensity Regression Based on Multi-Task Deep Transfer | learning | |
| Pose-Normalized and Appearance-Preserved Street-to-Shop Clothing Image Generation and Feature | learning | |
| PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement | learning | |
| PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive | learning | |
| PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by | learning | |
| Posed Face Image Synthesis Using Nonlinear Manifold | learning | |
| PoseGU: 3D human pose estimation with novel human pose generator and unbiased | learning | |
| PoseNet3D: | learning | Temporally Consistent 3D Human Pose via Knowledge Distillation |
| Position constraint based face image super-resolution by | learning | multiple local linear projections |
| Position-Aware Relation | learning | for RGB-Thermal Salient Object Detection |
| Positional Multi-Cross-Attention for Bone Age Estimation Using Deep Multiple Instance | learning | |
| Positive and Unlabeled | learning | Algorithm for One-Class Classification of Remote-Sensing Data, A |
| Positive definite dictionary | learning | for region covariances |
| Positive Impact of State Similarity on Reinforcement | learning | Performance |
| Positive Unlabeled | learning | by Semi-Supervised Learning |
| Positive Unlabeled | learning | by Semi-Supervised Learning |
| Positive Unlabelled | learning | for Satellite Images'Time Series Analysis: An Application to Cereal and Forest Mapping |
| Positive-Augmented Contrastive | learning | for Image and Video Captioning Evaluation |
| Positive-unlabeled | learning | for open set domain adaptation |
| Positive-Unlabeled | learning | With Label Distribution Alignment |
| Post-Disaster Building Database Updating Using Automated Deep | learning | : An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data |
| Post-Disaster Recovery Assessment with Machine | learning | -Derived Land Cover and Land Use Information |
| Post-hoc Explanation Options for XAI in Deep | learning | : The Insight Centre for Data Analytics Perspective |
| Post-Hurricane Damage Severity Classification at the Individual Tree Level Using Terrestrial Laser Scanning and Deep | learning | |
| Post-mortem iris recognition with deep- | learning | -based image segmentation |
| Postal Automation System in Gurmukhi Script using Deep | learning | |
| Postearthquake Multiple Scene Recognition Model Based on Classical SSD Method and Transfer | learning | , A |
| Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric | learning | |
| posteriori control densities: Imitation | learning | from partial observations, A |
| posteriori error | learning | in nonlinear adaptive filters, A |
| Posteriori Real-Time Recurrent | learning | Schemes for a Recurrent Neural Network Based Nonlinear Predictor |
| Postnatal gestational age estimation of newborns using Small Sample Deep | learning | |
| Posture and sequence recognition for Bharatanatyam dance performances using machine | learning | approaches |
| Posture Calibration Based Cross-View and Hard-Sensitive Metric | learning | for UAV-Based Vehicle Re-Identification |
| Posture recognition of nuclear power plant operators by supervised | learning | |
| Potato Leaf Area Index Estimation Using Multi-Sensor Unmanned Aerial Vehicle (UAV) Imagery and Machine | learning | |
| Potato Yield Prediction Using Machine | learning | Techniques and Sentinel 2 Data |
| Potential Game Based Task Offloading in the High-Speed Railway With Reinforcement | learning | |
| Potential of Building Detection from SAR and Lidar Using Deep | learning | , The |
| Potential of Deep | learning | for Satellite Rainfall Detection over Data-Scarce Regions, the West African Savanna, The |
| Potential of hyperspectral data and machine | learning | algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau |
| Potential of Sentinel-1A Data for Identification of Debris-Covered Alpine Glacier Based on Machine | learning | Approach, The |
| Potential Role of News Media to Construct a Machine | learning | Based Damage Mapping Framework, The |
| Pothole Detection and Dimension Estimation System using Deep | learning | (YOLO) and Image Processing |
| Pothole Detection Using Computer Vision and | learning | |
| Power Efficient Video Super-resolution on Mobile NPUs with Deep | learning | , Mobile AI & AIM 2022 Challenge: Report |
| Power Line Monitoring through Data Integrity Analysis with Q- | learning | Based Data Analysis Network |
| Power Normalizing Second-Order Similarity Network for Few-Shot | learning | |
| Power of Ensembles for Active | learning | in Image Classification, The |
| Power/QoS-Adaptive HEVC FME Hardware using Machine | learning | -Based Approximation Control |
| Powered Two-Wheeler Riding Pattern Recognition Using a Machine- | learning | Framework |
| Powerful finite mixture model based on the generalized dirichlet distribution: unsupervised | learning | and applications |
| Powering Virtual Try-On via Auxiliary Human Segmentation | learning | |
| PPF-FoldNet: Unsupervised | learning | of Rotation Invariant 3D Local Descriptors |
| PPGNet: | learning | Point-Pair Graph for Line Segment Detection |
| PPO2: Location Privacy-Oriented Task Offloading to Edge Computing Using Reinforcement | learning | for Intelligent Autonomous Transport Systems |
| PR-RL: Portrait Relighting Via Deep Reinforcement | learning | |
| Practical Cross-modal Manifold Alignment for Robotic Grounded Language | learning | |
| Practical Guide to Supervised Deep | learning | for Bioimage Analysis: Challenges and good practices, A |
| Practical Online Active | learning | for Classification |
| Practical Recommendations for Replay-Based Continual | learning | Methods |
| Practical Transfer | learning | Algorithm for Face Verification, A |
| practical use of regularization for supervised | learning | with kernel methods, A |
| Practicality and Robustness of Tree Species Identification Using UAV RGB Image and Deep | learning | in Temperate Forest in Japan |
| Prax Approach to | learning | a Large Number of Texture Concepts, The |
| Pre-Constrained Machine | learning | Method for Multi-Year Mapping of Three Major Crops in a Large Irrigation District |
| Pre-training Strategies and Datasets for Facial Representation | learning | |
| Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive | learning | |
| Preceding vehicle recognition based on | learning | from sample images |
| Precipitates Segmentation from Scanning Electron Microscope Images through Machine | learning | Techniques |
| Precipitation Retrieval from Fengyun-3D Microwave Humidity and Temperature Sounder Data Using Machine | learning | |
| Precise detection of Chinese characters in historical documents with deep reinforcement | learning | |
| Precision | learning | : Towards Use of Known Operators in Neural Networks |
| Predicate Correlation | learning | for Scene Graph Generation |
| Predict Seasonal Maximum Freezing Depth Changes Using Machine | learning | in China over the Last 50 Years |
| Predicting and Mapping of Soil Organic Carbon Using Machine | learning | Algorithms in Northern Iran |
| Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep | learning | approach with spatial generalization ability |
| Predicting Aquaplaning Performance from Tyre Profile Images with Machine | learning | |
| Predicting Breast Cancer Recurrence Using Machine | learning | Techniques: A Systematic Review |
| Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine | learning | Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery |
| Predicting Chemical Properties using Self-Attention Multi-task | learning | based on SMILES Representation |
| Predicting coronary artery disease using | learning | rate based snow leopard optimization with soft swish scaling based bidirectional long short-term memory |
| Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep | learning | Approach Using Multispectral Data |
| Predicting dominance judgements automatically: A machine | learning | approach |
| Predicting Dry Pea Maturity Using Machine | learning | and Advanced Sensor Fusion with Unmanned Aerial Systems (UASs) |
| Predicting Equivalent Water Thickness in Wheat Using UAV Mounted Multispectral Sensor through Deep | learning | Techniques |
| Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine | learning | Methods |
| Predicting First Impressions with Deep | learning | |
| Predicting Gaze in Egocentric Video by | learning | Task-Dependent Attention Transition |
| Predicting Goal-Directed Human Attention Using Inverse Reinforcement | learning | |
| Predicting Head Movement in Panoramic Video: A Deep Reinforcement | learning | Approach |
| Predicting Hourly Boarding Demand of Bus Passengers Using Imbalanced Records From Smart-Cards: A Deep | learning | Approach |
| Predicting Human Saccadic Scanpaths Based on Iterative Representation | learning | |
| Predicting Image Aesthetics with Deep | learning | |
| Predicting Image Memorability Through Adaptive Transfer | learning | From External Sources |
| Predicting incomplete gene microarray data with the use of supervised | learning | algorithms |
| Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine | learning | |
| Predicting lung cancer treatment response from CT images using deep | learning | |
| Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance | learning | With Deep Graph Convolution |
| Predicting Machine | learning | Pipeline Runtimes in the Context of Automated Machine Learning |
| Predicting Machine | learning | Pipeline Runtimes in the Context of Automated Machine Learning |
| Predicting Maize Yield at the Plot Scale of Different Fertilizer Systems by Multi-Source Data and Machine | learning | Methods |
| Predicting Microblog Sentiments via Weakly Supervised Multimodal Deep | learning | |
| Predicting Multiple Attributes via Relative Multi-task | learning | |
| Predicting network flows from speeds using open data and transfer | learning | |
| Predicting Online Video Advertising Effects with Multimodal Deep | learning | |
| Predicting Plant Growth from Time-Series Data Using Deep | learning | |
| Predicting Protein Content in Grain Using Hyperspectral Deep | learning | |
| Predicting Short-Term Deformation in the Central Valley Using Machine | learning | |
| Predicting Slope Stability Failure through Machine | learning | Paradigms |
| Predicting Spatial Crime Occurrences through an Efficient Ensemble- | learning | Model |
| Predicting Species and Structural Diversity of Temperate Forests with Satellite Remote Sensing and Deep | learning | |
| Predicting Taxi Demand Based on 3D Convolutional Neural Network and Multi-task | learning | |
| Predicting Terrorism in Europe with Remote Sensing, Spatial Statistics, and Machine | learning | |
| Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine | learning | over India |
| Predicting the Subjective Responses' Emotion in Dialogues with Multi-task | learning | |
| Predicting Top-of-Atmosphere Thermal Radiance Using MERRA-2 Atmospheric Data with Deep | learning | |
| Predicting Tree Sap Flux and Stomatal Conductance from Drone-Recorded Surface Temperatures in a Mixed Agroforestry System: A Machine | learning | Approach |
| Predicting Urban Region Heat via | learning | Arrive-Stay-Leave Behaviors of Private Cars |
| Predicting visual difference maps for computer-generated images by integrating human visual system model and deep | learning | |
| Predicting Visual Exemplars of Unseen Classes for Zero-Shot | learning | |
| Predicting Water Quality Distribution of Lakes through Linking Remote Sensing-Based Monitoring and Machine | learning | Simulation |
| Predicting Wheat Leaf Nitrogen Content by Combining Deep Multitask | learning | and a Mechanistic Model Using UAV Hyperspectral Images |
| Prediction and Detection of car accidents in video by deep | learning | |
| Prediction and Mapping of Cochlodinium Polykrikoides Red Tide Using Machine | learning | Under Imbalanced Data |
| Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction | learning | |
| Prediction Method of Ionospheric hmF2 Based on Machine | learning | , A |
| Prediction of Atmospheric Duct Conditions from a Clutter Power Spectrum Using Deep | learning | |
| Prediction of Brain Tumor Recurrence Location Based on Kullback-Leibler Divergence and Nonlinear Correlation | learning | |
| Prediction of breast cancer metastasis by deep | learning | pathology |
| Prediction of Chromatic Visual Masking with Deep | learning | |
| Prediction of Clinical Information from Cardiac MRI Using Manifold | learning | |
| Prediction of Cross-Regional Landslide Susceptibility Based on Pixel Transfer | learning | , The |
| Prediction of drug amount in Parkinson's disease using hybrid machine | learning | systems and radiomics features |
| Prediction of energy consumption for new electric vehicle models by machine | learning | |
| Prediction of Field-Scale Wheat Yield Using Machine | learning | Method and Multi-Spectral UAV Data |
| Prediction of Leaf Wetness Duration Using Geostationary Satellite Observations and Machine | learning | Algorithms |
| Prediction of | learning | Abilities Based on a Cross-Modal Evaluation of Non-verbal Mental Attributes Using Video-Game-Like Interfaces |
| Prediction of | learning | space occupation through WLAN access point data using Kalman filter and gradient boosting regression |
| Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep | learning | Model in Australia |
| Prediction of Minimally Conscious State Responder Patients to Non-invasive Brain Stimulation Using Machine | learning | Algorithms |
| Prediction of Pollutant Concentrations By Meteorological Data Using Machine | learning | Algorithms |
| Prediction of Radar Echo Space-Time Sequence Based on Improving TrajGRU Deep- | learning | Model |
| Prediction of Sea Surface Temperature in the South China Sea Based on Deep | learning | |
| Prediction of Strawberry Dry Biomass from UAV Multispectral Imagery Using Multiple Machine | learning | Methods |
| Prediction of Taxi Destinations Using a Novel Data Embedding Method and Ensemble | learning | |
| Prediction of the Area of High-Turbidity Water in the Yatsushiro Sea, Japan, Using Machine | learning | with Satellite, Meteorological, and Oceanographic Data |
| Prediction of the spectral reflectance of laser-generated color prints by combination of an optical model and | learning | methods |
| Prediction of the Tibetan Plateau Thermal Condition with Machine | learning | and Shapley Additive Explanation, The |
| Prediction of Unpaved Road Conditions Using High-Resolution Optical Satellite Imagery and Machine | learning | |
| Prediction of Urban Forest Aboveground Carbon Using Machine | learning | Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China |
| Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine | learning | in China |
| Prediction-based classification using | learning | on Riemannian manifolds |
| Predictive Coding Light: | learning | compact visual codes by combining excitatory and inhibitory spike timing-dependent plasticity* |
| Predictive Feature | learning | for Future Segmentation Prediction |
| Predictive lossless compression of regions of interest in hyperspectral image via Maximum Correntropy Criterion based Least Mean Square | learning | |
| Predictive Modeling of Above-Ground Biomass in Brachiaria Pastures from Satellite and UAV Imagery Using Machine | learning | Approaches |
| PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive | learning | |
| Preface - Isprs Workshop Hyperspectral Sensing Meets Machine | learning | And Pattern Analysis (hypermlpa 2019) |
| Preface of Special Issue on Data Representation and Representation | learning | for Video Analysis |
| PrefCache: Edge Cache Admission With User Preference | learning | for Video Content Distribution |
| Preliminary Numerical Study to Compare the Physical Method and Machine | learning | Methods Applied to GPR Data for Underground Utility Network Characterization, A |
| Preliminary Results from a Wildfire Detection System Using Deep | learning | on Remote Camera Images |
| Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine | learning | , and Proximal Sensing Spectroscopy |
| Preliminary Study on Social | learning | Using Mobile Technology Among Children with Autism |
| Prescribed Safety Performance Imitation | learning | From a Single Expert Dataset |
| Preservation of High Frequency Content for Deep | learning | -Based Medical Image Classification |
| Preservational | learning | Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts |
| Preserving Linear Separability in Continual | learning | by Backward Feature Projection |
| Preserving Location-Privacy in Vehicular Networks via Reinforcement | learning | |
| Preserving Modality Structure Improves Multi-Modal | learning | |
| Preserving Semantic Relations for Zero-Shot | learning | |
| Pretopological approach for supervised | learning | |
| Pretrained Deep | learning | Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation |
| Preventing Zero-Shot Transfer Degradation in Continual | learning | of Vision-Language Models |
| Pri3D: Can 3D Priors Help 2D Representation | learning | ? |
| PRIMAL-GMM: PaRametrIc MAnifold | learning | of Gaussian Mixture Models |
| Primate Recognition System Design Based on Deep | learning | Model VGG16 |
| Primitive Contrastive | learning | for Handwritten Mathematical Expression Recognition |
| Primitive pattern | learning | |
| Primitive Representation | learning | for Scene Text Recognition |
| Principal characteristic networks for few-shot | learning | |
| Principal component analysis-based | learning | for preceding vehicle classification |
| Principal Graph and Structure | learning | Based on Reversed Graph Embedding |
| Print-Camera Resistant Image Watermarking With Deep Noise Simulation and Constrained | learning | |
| Printed Persian OCR system using deep | learning | |
| Prior Information Based Decomposition and Reconstruction | learning | for Micro-Expression Recognition |
| Prior Information Guided Regularized Deep | learning | for Cell Nucleus Detection |
| Prior Knowledge about Attributes: | learning | a More Effective Potential Space for Zero-Shot Recognition |
| Prior | learning | and Gibbs Reaction-Diffusion |
| Prior Level Fusion Approach for the Semantic Segmentation of 3D Point Clouds Using Deep | learning | , A |
| Prior-Attention Residual | learning | for More Discriminative COVID-19 Screening in CT Images |
| Prior-Aware Cross Modality Augmentation | learning | for Continuous Sign Language Recognition |
| Prior-updating ensemble | learning | for discrete HMM |
| PRIOR: Prototype Representation Joint | learning | from Medical Images and Reports |
| Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via | learning | to Rank |
| Privacy in | learning | |
| Privacy Leakage of Adversarial Training Models in Federated | learning | Systems |
| Privacy preserved collaborative transfer | learning | model with heterogeneous distributed data for brain tumor classification |
| Privacy-Aware Multiagent Deep Reinforcement | learning | for Task Offloading in VANET |
| Privacy-Preserved Federated | learning | for Autonomous Driving |
| Privacy-preserving Collaborative | learning | with Automatic Transformation Search |
| Privacy-Preserving Deep Action Recognition: An Adversarial | learning | Framework and A New Dataset |
| Privacy-Preserving Deep | learning | Model for Decentralized VANETs Using Fully Homomorphic Encryption and Blockchain |
| Privacy-Preserving Federated Deep Reinforcement | learning | for Mobility-as-a-Service |
| privacy-preserving image retrieval method based on deep | learning | and adaptive weighted fusion, A |
| Privacy-Preserving Visual | learning | Using Doubly Permuted Homomorphic Encryption |
| Privacy-Preserving-Based Secure Framework Using Blockchain-Enabled Deep- | learning | in Cooperative Intelligent Transport System, A |
| Private-Shared Disentangled Multimodal VAE for | learning | of Latent Representations |
| Privileged Information for Hierarchical Document Clustering: A Metric | learning | Approach |
| Privileged Modality | learning | via Multimodal Hallucination |
| Privileged multi-task | learning | for attribute-aware aesthetic assessment |
| Privileged Semi-Supervised | learning | |
| PRNU-Net: a Deep | learning | Approach for Source Camera Model Identification based on Videos Taken with Smartphone |
| Pro-PULSE: | learning | Progressive Encoders of Latent Semantics in GANs for Photo Upsampling |
| ProAlignNet: Unsupervised | learning | for Progressively Aligning Noisy Contours |
| Probabilistic Active | learning | Algorithm Based on Fisher Information Ratio, A |
| Probabilistic Active Support Vector | learning | Algorithm, A |
| probabilistic approach to | learning | costs for graph edit distance, A |
| Probabilistic Boosting-Tree: | learning | Discriminative Models for Classification, Recognition, and Clustering |
| probabilistic collaborative dictionary | learning | -based approach for face recognition, A |
| Probabilistic Contrastive Framework for Semi-Supervised | learning | , A |
| Probabilistic Dimensionality Reduction via Structure | learning | |
| Probabilistic End-To-End Noise Correction for | learning | With Noisy Labels |
| Probabilistic Feature Relevance | learning | for Content-Based Image Retrieval |
| Probabilistic Feature Relevance | learning | for Online Indexing |
| Probabilistic Framework for Soft Target | learning | in Online Cursive Handwriting Recognition, A |
| Probabilistic | learning | and Modelling of Object Dynamics for Tracking |
| Probabilistic | learning | for fully automatic face recognition across pose |
| Probabilistic | learning | of similarity measures for tensor PCA |
| Probabilistic | learning | of task-specific visual attention |
| Probabilistic | learning | of Three-Dimensional Object Models |
| Probabilistic | learning | of Visual Object Composition from Attended Segments |
| Probabilistic Liveness Decision Method of Unbounded Petri Nets Based on Machine | learning | , The |
| Probabilistic Mapping and Spatial Pattern Analysis of Grazing Lawns in Southern African Savannahs Using WorldView-3 Imagery and Machine | learning | Techniques |
| Probabilistic Measure for Signature Verification Based on Bayesian | learning | |
| Probabilistic models for supervised dictionary | learning | |
| Probabilistic Multi-Task | learning | for Visual Saliency Estimation in Video |
| Probabilistic neural network playing and | learning | Tic-Tac-Toe |
| Probabilistic Object Tracking Based on Machine | learning | and Importance Sampling |
| Probabilistic Parameter Selection for | learning | Scene Structure from Video |
| Probabilistic Prompt | learning | for Dense Prediction |
| Probabilistic Representations for Video Contrastive | learning | |
| Probabilistic Structure | learning | for EEG/MEG Source Imaging With Hierarchical Graph Priors |
| Probabilistic subspace-based | learning | of shape dynamics modes for multi-view action recognition |
| Probabilistic Visual | learning | for Object Detection |
| Probabilistic Visual | learning | For Object Representation |
| Probability-Based Graph Embedding Cross-Domain and Class Discriminative Feature | learning | for Domain Adaptation |
| Probing Representation Forgetting in Supervised and Unsupervised Continual | learning | |
| Probing Seismogenic Faults with Machine | learning | |
| Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy | learning | |
| Process-Oriented heterogeneous graph | learning | in GNN-Based ICS anomalous pattern recognition |
| Procrustean Regression Networks: | learning | 3d Structure of Non-rigid Objects from 2d Annotations |
| Procrustean Training for Imbalanced Deep | learning | |
| Product image recognition with guidance | learning | and noisy supervision |
| Product Image Recommendation with Transformer Model Using Deep Reinforcement | learning | |
| Product Image Representation | learning | on Large Scale Noisy Datasets |
| Profiling Public Transit Passenger Mobility Using Adversarial | learning | |
| Programmatic Concept | learning | for Human Motion Description and Synthesis |
| Progress on Vision Through | learning | |
| Progress on Vision through | learning | at George Mason University |
| Progress towards an HF Radar Wind Speed Measurement Method Using Machine | learning | |
| Progressface: Scale-aware Progressive | learning | for Face Detection |
| Progressive Class-Based Expansion | learning | for Image Classification |
| Progressive Cluster Purification for Unsupervised Feature | learning | |
| Progressive Context-Aware Graph Feature | learning | for Target Re-Identification |
| Progressive Correspondence Pruning by Consensus | learning | |
| Progressive Cross-Camera Soft-Label | learning | for Semi-Supervised Person Re-Identification |
| Progressive Dictionary | learning | With Hierarchical Predictive Structure for Low Bit-Rate Scalable Video Coding |
| Progressive Disentangled Representation | learning | for Fine-Grained Controllable Talking Head Synthesis |
| Progressive Feature Adjustment for Semi-supervised | learning | from Pretrained Models |
| Progressive Feature | learning | for Facade Parsing With Occlusions |
| Progressive fusion | learning | : A multimodal joint segmentation framework for building extraction from optical and SAR images |
| Progressive Geological Modeling and Uncertainty Analysis Using Machine | learning | |
| Progressive graph-based subspace transductive | learning | for semi-supervised classification |
| Progressive Instance-Aware Feature | learning | for Compositional Action Recognition |
| Progressive Language-Customized Visual Feature | learning | for One-Stage Visual Grounding |
| Progressive Latent Models for Self- | learning | Scene-Specific Pedestrian Detectors |
| Progressive | learning | Algorithm for Efficient Person Re-Identification |
| Progressive | learning | for Interactive Surveillance Scenes Retrieval |
| Progressive | learning | for Person Re-Identification With One Example |
| progressive | learning | framework based on single-instance annotation for weakly supervised object detection, A |
| Progressive | learning | Framework for Unconstrained Face Recognition, A |
| Progressive | learning | of 3D Reconstruction Network From 2D GAN Data |
| Progressive | learning | of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification |
| Progressive | learning | of Low-Precision Networks for Image Classification |
| Progressive | learning | With Anchoring Regularization for Vehicle Re-Identification |
| Progressive | learning | with style transfer for distant domain adaptation |
| Progressive Meta- | learning | With Curriculum |
| Progressive Mixup Augmented Teacher-Student | learning | for Unsupervised Domain Adaptation |
| Progressive Multi-View | learning | Approach for Multi-Loss Optimization in 3D Object Recognition, A |
| Progressive Perception | learning | for Main Coronary Segmentation in X-Ray Angiography |
| Progressive Point To Set Metric | learning | For Semi-Supervised Few-Shot Classification |
| Progressive Refinement | learning | Based on Feature Interactive Fusion for Semantic Segmentation of Remote Sensing Limited Dataset |
| Progressive Relation | learning | for Group Activity Recognition |
| Progressive sample mining and representation | learning | for one-shot person re-identification |
| Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud | learning | |
| Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot | learning | |
| Progressive Shape-Distribution-Encoder for | learning | 3D Shape Representation |
| Progressive Similarity Preservation | learning | for Deep Scalable Product Quantization |
| Progressive Stage-wise | learning | for Unsupervised Feature Representation Enhancement |
| Progressive subspace ensemble | learning | |
| Progressive Tandem | learning | for Pattern Recognition With Deep Spiking Neural Networks |
| Progressive Teacher-Student | learning | for Early Action Prediction |
| Progressive Transfer | learning | |
| Progressive Transfer | learning | for Face Anti-Spoofing |
| Progressive Transformation | learning | for Leveraging Virtual Images in Training |
| Progressive Unsupervised Deep Transfer | learning | for Forest Mapping in Satellite Image |
| Progressive Unsupervised | learning | for Visual Object Tracking |
| Progressive Video Summarization via Multimodal Self-supervised | learning | |
| Project-Based | learning | Applied to Unmanned Aerial Systems and Remote Sensing |
| Projection Filter for Use with Parameterised | learning | Models, A |
| Projection | learning | |
| Projection | learning | with local and global consistency constraints for scene classification |
| Projection Metric | learning | on Grassmann Manifold with Application to Video based Face Recognition |
| Projection of Future Extreme Precipitation in China Based on the CMIP6 from a Machine | learning | Perspective |
| Projective Double Reconstructions Based Dictionary | learning | Algorithm for Cross-Domain Recognition |
| Promote knowledge mining towards open-world semi-supervised | learning | |
| Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive | learning | for Unsupervised Domain Generalization |
| Prompt Distribution | learning | |
| Prompt Prototype | learning | Based on Ranking Instruction For Few-Shot Visual Tasks |
| Prompt-Based | learning | for Unpaired Image Captioning |
| PromptCAL: Contrastive Affinity | learning | via Auxiliary Prompts for Generalized Novel Category Discovery |
| Promptlearner-clip: Contrastive Multi-modal Action Representation | learning | with Context Optimization |
| ProNet: | learning | to Propose Object-Specific Boxes for Cascaded Neural Networks |
| Proof of Concept for Sea Ice Stage of Development Classification Using Deep | learning | |
| Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation | learning | |
| Propagating Facial Prior Knowledge for Multitask | learning | in Face Super-Resolution |
| Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep | learning | Inference |
| Propagation Regularizer for Semi-supervised | learning | with Extremely Scarce Labeled Samples |
| Proportionally Fair Hospital Collaborations in Federated | learning | of Histopathology Images |
| Proposal | learning | for Semi-Supervised Object Detection |
| Proposal-Based Multiple Instance | learning | for Weakly-Supervised Temporal Action Localization |
| Proposal-Free Temporal Action Detection via Global Segmentation Mask | learning | |
| Proposal-improved Few-shot Embedding Model with Contrastive | learning | , A |
| Proposed Machine | learning | Techniques for Bridge Structural Health Monitoring: A Laboratory Study |
| Proposing a Fuzzy Soft-max-based classifier in a hybrid deep | learning | architecture for human activity recognition |
| PROSAIL-Net: A transfer | learning | -based dual stream neural network to estimate leaf chlorophyll and leaf angle of crops from UAV hyperspectral images |
| Prostate Cancer Inference via Weakly-Supervised | learning | using a Large Collection of Negative MRI |
| Prostate Histopathology: | learning | Tissue Component Histograms for Cancer Detection and Classification |
| Prostate MRI Registration Using Siamese Metric | learning | |
| Protection of gait data set for preserving its privacy in deep | learning | pipeline |
| Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance | learning | |
| Protocon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised | learning | |
| ProtoFL: Unsupervised Federated | learning | via Prototypical Distillation |
| ProtoGAN: Towards Few Shot | learning | for Action Recognition |
| Prototype Augmentation and Self-Supervision for Incremental | learning | |
| Prototype based feature | learning | for face image set classification |
| Prototype Completion for Few-Shot | learning | |
| Prototype Completion with Primitive Knowledge for Few-Shot | learning | |
| Prototype Discriminative | learning | for Face Image Set Classification |
| Prototype Discriminative | learning | for Image Set Classification |
| Prototype Guided Pseudo Labeling and Perturbation-based Active | learning | for domain adaptive semantic segmentation |
| Prototype | learning | and collaborative representation using Grassmann manifolds for image set classification |
| Prototype | learning | for Automatic Check-Out |
| Prototype | learning | for structured pattern representation applied to on-line recognition of handwritten Japanese characters |
| Prototype | learning | Framework Using EMD: Application to Complex Scenes Analysis, A |
| Prototype | learning | methods for online handwriting recognition |
| Prototype | learning | Using Metric Learning Based Behavior Recognition |
| Prototype | learning | Using Metric Learning Based Behavior Recognition |
| Prototype | learning | with margin-based conditional log-likelihood loss |
| Prototype Queue | learning | for Multi-Class Few-Shot Semantic Segmentation |
| Prototype Rectification for Few-shot | learning | |
| Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental | learning | |
| Prototype selection algorithms for distributed | learning | |
| Prototype System for Unconstrained Face Verificatioin Based on Statistical | learning | , A |
| Prototype-Augmented Self-Supervised Generative Network for Generalized Zero-Shot | learning | |
| Prototype-based class-specific nonlinear subspace | learning | for large-scale face verification |
| Prototype-Based Discriminative Feature | learning | for Kinship Verification |
| Prototype-Based Generalized Zero-Shot | learning | Framework for Hand Gesture Recognition, A |
| Prototype-Guided Feature | learning | for Unsupervised Domain Adaptation |
| Prototype-Guided Saliency Feature | learning | for Person Search |
| Prototypical Bidirectional Adaptation and | learning | for Cross-Domain Semantic Segmentation |
| Prototypical Cross-domain Self-supervised | learning | for Few-shot Unsupervised Domain Adaptation |
| Prototypical Kernel | learning | and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation |
| PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot | learning | |
| Prototypical Priors: From Improving Classification to Zero-Shot | learning | |
| Prototypical Pseudo Label Denoising and Target Structure | learning | for Domain Adaptive Semantic Segmentation |
| Prototyping a Social Media Flooding Photo Screening System Based on Deep | learning | |
| Prototyping Structural Description Using an Inductive | learning | Program |
| Prototyping structural description using decision tree | learning | techniques |
| Prototyping Structural Shape Descriptions by Inductive | learning | |
| ProtTrans: Toward Understanding the Language of Life Through Self-Supervised | learning | |
| Provable Super-Convergence With a Large Cyclical | learning | Rate |
| Proximal Dehaze-Net: A Prior | learning | -Based Deep Network for Single Image Dehazing |
| Proxy Anchor Loss for Deep Metric | learning | |
| Proxy Anchor-based Unsupervised | learning | for Continuous Generalized Category Discovery |
| proxy | learning | curve for the Bayes classifier, A |
| Proxy-Based Deep | learning | Framework for Spectral-Spatial Hyperspectral Image Classification: Efficient and Robust |
| Proxybnn: | learning | Binarized Neural Networks via Proxy Matrices |
| Prudence when assuming normality: An advice for machine | learning | practitioners |
| Pruning Training Sets for | learning | of Object Categories |
| Pruning-Guided Curriculum | learning | for Semi-Supervised Semantic Segmentation |
| PS-DeVCEM: Pathology-sensitive deep | learning | model for video capsule endoscopy based on weakly labeled data |
| PS-FCN: A Flexible | learning | Framework for Photometric Stereo |
| PSASL: Pixel-Level and Superpixel-Level Aware Subspace | learning | for Hyperspectral Image Classification |
| PSCO: A Point Cloud Scene Classification Model Based on Contrast | learning | |
| Pseudo distribution on unseen classes for generalized zero shot | learning | |
| Pseudo Label Association and Prototype-Based Invariant | learning | for Semi-Supervised NIR-VIS Face Recognition |
| Pseudo loss active | learning | for deep visual tracking |
| Pseudo View Representation | learning | for Monocular RGB-D Human Pose and Shape Estimation |
| Pseudo-Data Based Self-Supervised Federated | learning | for Classification of Histopathological Images |
| Pseudo-Image and Sparse Points: Vehicle Detection With 2D LiDAR Revisited by Deep | learning | -Based Methods |
| Pseudo-Label Guided Contrastive | learning | for Semi-Supervised Medical Image Segmentation |
| Pseudo-Labeling and Meta Reweighting | learning | for Image Aesthetic Quality Assessment |
| Pseudo-Labels for Supervised | learning | on Dynamic Vision Sensor Data, Applied to Object Detection Under Ego-Motion |
| Pseudo-loss Confidence Metric for Semi-supervised Few-shot | learning | |
| Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel | learning | for Neuroimaging Data |
| Pseudo-Pair Based Self-Similarity | learning | for Unsupervised Person Re-Identification |
| Pseudo-Supervised Low-Light Image Enhancement With Mutual | learning | |
| PseudoAugment: | learning | to Use Unlabeled Data for Data Augmentation in Point Clouds |
| PSF Estimation in Crowded Astronomical Imagery as a Convolutional Dictionary | learning | Problem |
| PSMNet-FusionX3: LiDAR-Guided Deep | learning | Stereo Dense Matching On Aerial Images |
| PSNet: Fast Data Structuring for Hierarchical Deep | learning | on Point Cloud |
| PSO-based | learning | of sub-band adaptive thresholding function for image denoising |
| PSS: Progressive Sample Selection for Open-World Visual Representation | learning | |
| Psychologically Inspired Fuzzy Cognitive Deep | learning | Framework to Predict Crowd Behavior, A |
| Pt2pc: | learning | to Generate 3d Point Cloud Shapes from Part Tree Conditions |
| PT4AL: Using Self-supervised Pretext Tasks for Active | learning | |
| Pulmonary Artery-Vein Classification in CT Images Using Deep | learning | |
| Pulmonary CT Registration Through Supervised | learning | With Convolutional Neural Networks |
| PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised | learning | of Local Descriptors |
| PUNet: Temporal Action Proposal Generation With Positive Unlabeled | learning | Using Key Frame Annotations |
| Pure | learning | Approach to Background-Invariant Object Recognition Using Pedagogical Support Vector Learning, A |
| Pure | learning | Approach to Background-Invariant Object Recognition Using Pedagogical Support Vector Learning, A |
| Purity-Preserving Kernel Tensor Low-Rank | learning | for Robust Subspace Clustering |
| Push for Center | learning | via Orthogonalization and Subspace Masking for Person Re-Identification |
| Pushing the Limits of Simple Pipelines for Few-Shot | learning | : External Data and Fine-Tuning Make a Difference |
| Putting Humans in a Scene: | learning | Affordance in 3D Indoor Environments |
| Putting the Scientist in the Loop: Accelerating Scientific Progress with Interactive Machine | learning | |
| PV-TSC: | learning | to Control Traffic Signals for Pedestrian and Vehicle Traffic in 6G Era |
| PWD-3DNet: A Deep | learning | -Based Fully-Automated Segmentation of Multiple Structures on Temporal Bone CT Scans |
| PWLS-ULTRA: An Efficient Clustering and | learning | -Based Approach for Low-Dose 3D CT Image Reconstruction |
| PWLU: | learning | Specialized Activation Functions With the Piecewise Linear Unit |
| PWStableNet: | learning | Pixel-Wise Warping Maps for Video Stabilization |
| PyPose: A Library for Robot | learning | with Physics-based Optimization |
| Pyramid Geometric Consistency | learning | For Semantic Segmentation |
| Pyramid Structured Optical Flow | learning | with Motion Cues |
| Pyramidal Signed Distance | learning | for Spatio-temporal Human Shape Completion |
| Q- | learning | Approach to Flocking With UAVs in a Stochastic Environment, A |
| Q- | learning | based control algorithm for HTTP adaptive streaming |
| Q- | learning | -Based Supervisory Control Adaptability Investigation for Hybrid Electric Vehicles |
| q-Space Deep | learning | : Twelve-Fold Shorter and Model-Free Diffusion MRI Scans |
| QATM: Quality-Aware Template Matching for Deep | learning | |
| QDTrack: Quasi-Dense Similarity | learning | for Appearance-Only Multiple Object Tracking |
| QFuse: Online | learning | framework for adaptive biometric system |
| QL-IQA: | learning | distance distribution from quality levels for blind image quality assessment |
| QLP: Deep Q- | learning | for Pruning Deep Neural Networks |
| QoE-Based Task Offloading With Deep Reinforcement | learning | in Edge-Enabled Internet of Vehicles |
| QR factorization based Incremental Extreme | learning | Machine with growth of hidden nodes |
| QS-Attn: Query-Selected Attention for Contrastive | learning | in I2I Translation |
| QS-Craft: | learning | to Quantize, Scrabble and Craft for Conditional Human Motion Animation |
| Quad-Networks: Unsupervised | learning | to Rank for Interest Point Detection |
| QuadNet: Quadruplet loss for multi-view | learning | in baggage re-identification |
| Quadratic Terms Based Point-to-Surface 3D Representation for Deep | learning | of Point Cloud |
| QuadroNet: Multi-Task | learning | for Real-Time Semantic Depth Aware Instance Segmentation |
| Quadrotor Autonomous Navigation in Semi-Known Environments Based on Deep Reinforcement | learning | |
| Quadruplet Network With One-Shot | learning | for Fast Visual Object Tracking |
| Quadruplet Selection Methods for Deep Embedding | learning | |
| Quadruplet-Wise Image Similarity | learning | |
| Qualitative Approach to Robot Exploration and Map- | learning | , A |
| Qualitative map | learning | based on covisibility of objects |
| Qualitative Transfer for Reinforcement | learning | with Continuous State and Action Spaces |
| Quality and Complexity Assessment of | learning | -Based Image Compression Solutions |
| Quality assessment of screen content images based on multi-stage dictionary | learning | |
| Quality Classification of Microscopic Imagery with Weakly Supervised | learning | |
| Quality Enhancement Network via Multi-Reconstruction Recursive Residual | learning | for Video Coding |
| Quality Improvement for Airborne Lidar Data Filtering Based on Deep | learning | Method |
| Quality-adaptive deep | learning | for pedestrian detection |
| Quality-Agnostic Deepfake Detection with Intra-model Collaborative | learning | |
| Quality-aware dual-modal saliency detection via deep reinforcement | learning | |
| Quantformer: | learning | Extremely Low-Precision Vision Transformers |
| Quantification of Annual Settlement Growth in Rural Mining Areas Using Machine | learning | |
| Quantification of Hydrocarbon Abundance in Soils Using Deep | learning | with Dropout and Hyperspectral Data |
| Quantification of Physiological Parameters of Rice Varieties Based on Multi-Spectral Remote Sensing and Machine | learning | Models |
| Quantification-oriented | learning | based on reliable classifiers |
| Quantify the Road Link Performance and Capacity Using Deep | learning | Models |
| Quantifying Basal Roughness and Internal Layer Continuity Index of Ice Sheets by an Integrated Means with Radar Data and Deep | learning | |
| Quantifying Forest Fire and Post-Fire Vegetation Recovery in the Daxin'anling Area of Northeastern China Using Landsat Time-Series Data and Machine | learning | |
| Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine | learning | |
| Quantifying Marine Macro Litter Abundance on a Sandy Beach Using Unmanned Aerial Systems and Object-Oriented Machine | learning | Methods |
| Quantifying Seagrass Density Using Sentinel-2 Data and Machine | learning | |
| Quantifying Seagrass Distribution in Coastal Water with Deep | learning | Models |
| Quantifying the Effects of Urban Form on Land Surface Temperature in Subtropical High-Density Urban Areas Using Machine | learning | |
| Quantitative analysis of transfer and incremental | learning | for image classification |
| Quantitative Characterization of Semantic Gaps for | learning | Complexity Estimation and Inference Model Selection |
| Quantitative Evaluation of Confidence Measures in a Machine | learning | World |
| Quantitative Evaluation of Maize Emergence Using UAV Imagery and Deep | learning | |
| Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive | learning | Approach |
| quantitative method for the assessment of facial attractiveness based on transfer | learning | with fine-grained image classification, A |
| Quantitative Model Construction for Sustainable Security Patterns in Social-Ecological Links Using Remote Sensing and Machine | learning | |
| Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep | learning | |
| Quantitative Precipitation Estimates Using Machine | learning | Approaches with Operational Dual-Polarization Radar Data |
| Quantitative Precipitation Estimation in the Tianshan Mountains Based on Machine | learning | |
| Quantum Based Pseudo-Labelling for Hyperspectral Imagery: A Simple and Efficient Semi-Supervised | learning | Method for Machine Learning Classifiers |
| Quantum Based Pseudo-Labelling for Hyperspectral Imagery: A Simple and Efficient Semi-Supervised | learning | Method for Machine Learning Classifiers |
| Quasi Cosine Similarity Metric | learning | |
| Quasi-Dense Similarity | learning | for Multiple Object Tracking |
| Quasi-supervised | learning | for biomedical data analysis |
| Quaternion Extreme | learning | Machine Based on Real Augmented Representation |
| Quaternion Grassmann average network for | learning | representation of histopathological image |
| Quaternion Product Units for Deep | learning | on 3D Rotation Groups |
| Quaternion-Based Dictionary | learning | and Saturation-Value Total Variation Regularization for Color Image Restoration |
| Quaternion-Valued Correlation | learning | for Few-Shot Semantic Segmentation |
| Query expansion for imperfect speech: applications in distributed | learning | |
| Query expansion with pairwise | learning | in object retrieval challenge |
| Query | learning | Method for Character Recognition Methods Using Genetic Algorithm |
| Query | learning | of Both Thing and Stuff for Panoptic Segmentation |
| Query-Adaptive Multiple Instance | learning | for Video Instance Retrieval |
| Query-Dependent Aesthetic Model With Deep | learning | for Photo Quality Assessment |
| Query-dependent metric | learning | for adaptive, content-based image browsing and retrieval |
| Query6DoF: | learning | Sparse Queries as Implicit Shape Prior for Category-Level 6DoF Pose Estimation |
| Question classification based on co-training style semi-supervised | learning | |
| Question-aware dynamic scene graph of local semantic representation | learning | for visual question answering |
| Quintuple-Media Joint Correlation | learning | With Deep Compression and Regularization |
| R-DFCIL: Relation-Guided Representation | learning | for Data-Free Class Incremental Learning |
| R-DFCIL: Relation-Guided Representation | learning | for Data-Free Class Incremental Learning |
| R-LKDepth: Recurrent Depth | learning | With Larger Kernel |
| R-SigNet: Reduced space writer-independent feature | learning | for offline writer-dependent signature verification |
| R-Unet: A Deep | learning | Model for Rice Extraction in Rio Grande do Sul, Brazil |
| R3L: Connecting Deep Reinforcement | learning | To Recurrent Neural Networks for Image Denoising Via Residual Recovery |
| RACL: A robust adaptive contrastive | learning | method for conversational satisfaction prediction |
| Radar Camera Fusion via Representation | learning | in Autonomous Driving |
| Radar Echo Recognition of Gust Front Based on Deep | learning | |
| Radar Echo Reconstruction in Oceanic Area via Deep | learning | of Satellite Data |
| Radar HRRP Target Recognition Based on Dynamic | learning | with Limited Training Data |
| Radar HRRP Unseen Class Recognition Based on the Joint Dictionary | learning | |
| Radar Intra-Pulse Signal Modulation Classification with Contrastive | learning | |
| Radar Target Characterization and Deep | learning | in Radar Automatic Target Recognition: A Review |
| Radar-Based Human-Motion Recognition With Deep | learning | : Promising applications for indoor monitoring |
| Radar-Jamming Decision-Making Based on Improved Q- | learning | and FPGA Hardware Implementation |
| RADAR: Robust Algorithm for Depth Image Super Resolution Based on FRI Theory and Multimodal Dictionary | learning | |
| Radial Basis Function Networks and Complexity Regularization in Function | learning | and Classification |
| Radial Basis Function Networks in Nonparametric Classification and Function | learning | |
| Radiation-Variation Insensitive Coarse-to-Fine Image Registration for Infrared and Visible Remote Sensing Based on Zero-Shot | learning | |
| Radical analysis network for | learning | hierarchies of Chinese characters |
| Radon Inversion via Deep | learning | |
| Rainbow Memory: Continual | learning | with a Memory of Diverse Samples |
| Raindrop-Aware GAN: Unsupervised | learning | for Raindrop-Contaminated Coastal Video Enhancement |
| Rainfall Forecast Using Machine | learning | with High Spatiotemporal Satellite Imagery Every 10 Minutes |
| Rainfall-Induced Shallow Landslide Susceptibility Mapping at Two Adjacent Catchments Using Advanced Machine | learning | Algorithms |
| Rainfall-integrated traffic speed prediction using deep | learning | method |
| Rainrate Estimation from FY-4A Cloud Top Temperature for Mesoscale Convective Systems by Using Machine | learning | Algorithm |
| RALF: A reinforced active | learning | formulation for object class recognition |
| Random Extension for Discriminative Dimensionality Reduction and Metric | learning | , A |
| Random forest dissimilarity based multi-view | learning | for Radiomics application |
| Random Forest Machine | learning | Approach for the Retrieval of Leaf Chlorophyll Content in Wheat, A |
| Random Forest Model and Sample Explainer for Non-experts in Machine | learning | : Two Case Studies |
| Random Forest-Based Manifold | learning | for Classification of Imaging Data in Dementia |
| Random Multi-Graphs: A semi-supervised | learning | framework for classification of high dimensional data |
| Random Neighbor Pixel-Block-Based Deep Recurrent | learning | for Polarimetric SAR Image Classification |
| Random vector functional link neural network based ensemble deep | learning | |
| Random walk-based feature | learning | for micro-expression recognition |
| Random-Positioned License Plate Recognition Using Hybrid Broad | learning | System and Convolutional Networks |
| Random-Walker-Based Collaborative | learning | for Hyperspectral Image Classification |
| Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised | learning | |
| Randomized Subspace | learning | Based Anomaly Detector for Hyperspectral Imagery, A |
| Randomness and Sparsity Induced Codebook | learning | with Application to Cancer Image Classification |
| Randomness is the Root of All Evil: More Reliable Evaluation of Deep Active | learning | |
| Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold | learning | |
| Rank Preserving Sparse | learning | for Kinect Based Scene Classification |
| Rank-Based Decomposable Losses in Machine | learning | : A Survey |
| Rank-based distance metric | learning | : An application to image retrieval |
| Rank-SIFT: | learning | to rank repeatable local interest points |
| Rank-Smoothed Pairwise | learning | In Perceptual Quality Assessment |
| Ranked List Loss for Deep Metric | learning | |
| Ranked Similarity Weighting and Top-nk Sampling in Deep Metric | learning | |
| Ranking Distance Calibration for Cross-Domain Few-Shot | learning | |
| Ranking Loss: A Novel Metric | learning | Method for Person Re-identification |
| Ranking-Preserving Cross-Source | learning | for Image Retargeting Quality Assessment |
| RankIQA: | learning | from Rankings for No-Reference Image Quality Assessment |
| RankMatch: Fostering Confidence and Consistency in | learning | with Noisy Labels |
| RankMix: Data Augmentation for Weakly Supervised | learning | of Classifying Whole Slide Images with Diverse Sizes and Imbalanced Categories |
| RankSRGAN: Super Resolution Generative Adversarial Networks With | learning | to Rank |
| Rapid Adaptation in Online Continual | learning | : Are We Evaluating It Right? |
| Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep | learning | |
| Rapid explorative direct inverse kinematics | learning | of relevant locations for active vision |
| Rapid identification of damaged buildings using incremental | learning | with transferred data from historical natural disaster cases |
| Rapid Mapping of Large-Scale Greenhouse Based on Integrated | learning | Algorithm and Google Earth Engine |
| Rapid Network Adaptation: | learning | to Adapt Neural Networks Using Test-Time Feedback |
| Rapid Online | learning | of Objects in a Biologically Motivated Recognition Architecture |
| Rapid Self-Supervised Deep- | learning | -Based Method for Post-Earthquake Damage Detection Using UAV Data (Case Study: Sarpol-e Zahab, Iran), A |
| Rapidly Adaptive Cell Detection Using Transfer | learning | with a Global Parameter |
| RAPT360: Reinforcement | learning | -Based Rate Adaptation for 360-Degree Video Streaming With Adaptive Prediction and Tiling |
| Rare Event Detection Using Disentangled Representation | learning | |
| Rasabodha: Understanding Indian classical dance by recognizing emotions using deep | learning | |
| RaScaNet: | learning | Tiny Models by Raster-Scanning Images |
| Rate Control Method Based on Deep Reinforcement | learning | for Dynamic Video Sequences in HEVC |
| Rate distortion Multiple Instance | learning | for image classification |
| Rate Distortion Optimization Over Large Scale Video Corpus With Machine | learning | |
| Rate-constrained | learning | -based image compression |
| Rate-Distortion Optimized | learning | -Based Image Compression using an Adaptive Hierachical Autoencoder with Conditional Hyperprior |
| Rating Image Aesthetics Using Deep | learning | |
| Rational Polynomial Camera Model Warping for Deep | learning | Based Satellite Multi-View Stereo Matching |
| RAV: | learning | -Based Adaptive Streaming to Coordinate the Audio and Video Bitrate Selections |
| Raw High-Definition Radar for Multi-Task | learning | |
| RayMVSNet++: | learning | Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo |
| RayMVSNet: | learning | Ray-based 1D Implicit Fields for Accurate Multi-View Stereo |
| RayNet: | learning | Volumetric 3D Reconstruction with Ray Potentials |
| RBDL: Robust block-Structured dictionary | learning | for block sparse representation |
| RBF-Softmax: | learning | Deep Representative Prototypes with Radial Basis Function Softmax |
| RCGAN: | learning | a Generative Model for Arbitrary Size Image Generation |
| RCsearcher: Reaction center identification in retrosynthesis via deep Q- | learning | |
| RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep | learning | |
| RDA: Reciprocal Distribution Alignment for Robust Semi-supervised | learning | |
| Re-Analysis and Synthesis of Data on Affect Dynamics in | learning | , A |
| Re-Caption: Saliency-Enhanced Image Captioning Through Two-Phase | learning | |
| Re-identification by neighborhood structure metric | learning | |
| Re-Identification of Zebrafish using Metric | learning | |
| Re-IQA: Unsupervised | learning | for Image Quality Assessment in the Wild |
| re-OBJ: Jointly | learning | the Foreground and Background for Object Instance Re-identification |
| Re-Thinking Federated Active | learning | Based on Inter-Class Diversity |
| Re-Weighting Large Margin Label Distribution | learning | for Classification |
| Reach Out and Touch Space (Motion | learning | ) |
| Reaction-Diffusion Equations and | learning | |
| ReactioNet: | learning | High-order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning |
| Reactive | learning | Strategy for AsymBoost Based Face Detectors |
| Read-only Prompt Optimization for Vision-Language Few-shot | learning | |
| Reading-Strategy Inspired Visual Representation | learning | for Text-to-Video Retrieval |
| ReAgent: Point Cloud Registration using Imitation and Reinforcement | learning | |
| Real Spike: | learning | Real-Valued Spikes for Spiking Neural Networks |
| Real Time Machine | learning | Based Car Detection in Images With Fast Training |
| Real vs. Fake Emotion Challenge: | learning | to Rank Authenticity from Facial Activity Descriptors |
| Real-Time 2D/3D Deformable Registration Using Metric | learning | |
| Real-Time 3D Facial Tracking via Cascaded Compositional | learning | |
| Real-time 3D head pose estimation using both geometry and | learning | |
| Real-Time Adaptive | learning | Method for Driver Eye Detection, A |
| Real-Time ATC Safety Monitoring Framework Using a Deep | learning | Approach, A |
| Real-Time Automated Classification of Sky Conditions Using Deep | learning | and Edge Computing |
| Real-time automated segmentation of breast lesions using CNN-based deep | learning | paradigm: Investigation on mammogram and ultrasound |
| Real-Time Charging Scheduling of Automated Guided Vehicles in Cyber-Physical Smart Factories Using Feature-Based Reinforcement | learning | |
| Real-time detection of distracted driving based on deep | learning | |
| Real-Time Detection of Ground Objects Based on Unmanned Aerial Vehicle Remote Sensing with Deep | learning | : Application in Excavator Detection for Pipeline Safety |
| Real-Time Detection System of Driver Distraction Using Machine | learning | |
| Real-time estimation for the parameters of Gaussian filtering via deep | learning | |
| Real-Time Evaluation in Online Continual | learning | : A New Hope |
| Real-time facial action unit intensity prediction with regularized metric | learning | |
| Real-time facial expression recognition based on iterative transfer | learning | and efficient attention network |
| Real-Time Forecast of SMAP L3 Soil Moisture Using Spatial-Temporal Deep | learning | Model with Data Integration |
| Real-time foreground segmentation on GPUs using local online | learning | and global graph cut optimization |
| Real-time Gestural Control of Robot Manipulator Through Deep | learning | Human-pose Inference |
| Real-Time Gesture Recognition by | learning | and Selective Control of Visual Interest Points |
| Real-time Gesture Recognition with Minimal Training Requirements and On-line | learning | |
| Real-Time Hand Gesture Detection and Recognition Using Boosted Classifiers and Active | learning | |
| Real-Time Holding Control for Transfer Synchronization via Robust Multiagent Reinforcement | learning | |
| Real-Time Human Pose Estimation via Cascaded Neural Networks Embedded with Multi-task | learning | |
| real-time image forensics scheme based on multi-domain | learning | , A |
| Real-time imaging-based assessment model for improving teaching performance and student experience in e- | learning | |
| Real-time | learning | and Detection of 3D Texture-less Objects: A Scalable Approach |
| Real-time | learning | of accurate patch rectification |
| Real-time Motion Planning for Robotic Teleoperation Using Dynamic-goal Deep Reinforcement | learning | |
| Real-time Multi-person Pose Tracking Method Using Deep Reinforcement | learning | |
| Real-Time No-Reference Image Quality Assessment Based on Filter | learning | |
| Real-time Object Classification in Video Surveillance Based on Appearance | learning | |
| Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy | learning | |
| Real-Time Respiration Monitoring of Neonates from Thermography Images Using Deep | learning | |
| Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep | learning | and Tracking |
| Real-time sepsis severity prediction on knowledge graph deep | learning | networks for the intensive care unit |
| Real-time simulation techniques for augmented | learning | in science and engineering |
| Real-time SLAM relocalization with online | learning | of binary feature indexing |
| Real-time Spatio-temporal Action Localization via | learning | Motion Representation |
| Real-Time Text Steganalysis Based on Multi-Stage Transfer | learning | |
| Real-Time Tracking Algorithm for Aerial Vehicles Using Improved Convolutional Neural Network and Transfer | learning | |
| Real-Time Tracking Algorithm for Multi-Target UAV Based on Deep | learning | , A |
| Real-Time Tracking via Deformable Structure Regression | learning | |
| Real-Time Tracking with Online Constrained Compressive | learning | |
| real-time typhoon eye detection method based on deep | learning | for meteorological information forensics, A |
| Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature | learning | |
| Real-Time Video Emotion Recognition Based on Reinforcement | learning | and Domain Knowledge |
| Real-time video event detection in crowded scenes using MPEG derived features: A multiple instance | learning | approach |
| Real-Time Video Super-Resolution on Smartphones with Deep | learning | , Mobile AI 2021 Challenge: Report |
| Real-time Visual Tracking via Incremental Covariance Tensor | learning | |
| Real-Time Visual Tracking Via Online Weighted Multiple Instance | learning | |
| Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter | learning | |
| Real-world Blur Dataset for | learning | and Benchmarking Deblurring Algorithms |
| Real-world Cross-modal Retrieval via Sequential | learning | |
| Real-World Image Super-Resolution by Exclusionary Dual- | learning | |
| Real-World ISAR Object Recognition Using Deep Multimodal Relation | learning | |
| Real-World Person Re-Identification via Degradation Invariance | learning | |
| Real-World Reinforcement | learning | Framework for Safe and Human-Like Tactical Decision-Making, A |
| Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based | learning | Scheme |
| Realistic Blur Synthesis for | learning | Image Deblurring |
| Realistic Evaluation of Semi-Supervised | learning | for Fine-Grained Classification, A |
| Realize Generative Yet Complete Latent Representation for Incomplete Multi-View | learning | |
| Realtime Anomaly Detection Using Trajectory-Level Crowd Behavior | learning | |
| Realtime Kernel based Machine | learning | Template Matching (KMLT) |
| Realtime object-of-interest tracking by | learning | Composite Patch-based Templates |
| Realtime Road Detection by | learning | from One Example |
| Reaper: Articulated Object 6d Pose Estimation with Deep Reinforcement | learning | |
| Reassignment Algorithm of the Ride-Sourcing Market Based on Reinforcement | learning | |
| Rebalanced Zero-Shot | learning | |
| Rebalancing Batch Normalization for Exemplar-Based Class-Incremental | learning | |
| RECALL: Replay-based Continual | learning | in Semantic Segmentation |
| Receding Horizon Cache and Extreme | learning | Machine based Reinforcement Learning |
| Receding Horizon Cache and Extreme | learning | Machine based Reinforcement Learning |
| Recent Advances for Quantum Neural Networks in Generative | learning | |
| Recent Advances in Crop Disease Detection Using UAV and Deep | learning | Techniques |
| Recent Advances in Large Margin | learning | |
| Recent advances in small object detection based on deep | learning | : A review |
| Recent Advances in Transfer | learning | for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective |
| Recent Advances of Deep | learning | for Sign Language Recognition |
| Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep | learning | Perspective |
| Recent Data Augmentation Strategies for Deep | learning | in Plant Phenotyping and Their Significance |
| Recipe1M+: A Dataset for | learning | Cross-Modal Embeddings for Cooking Recipes and Food Images |
| Reciprocal | learning | Networks for Human Trajectory Prediction |
| Reciprocal Multi-Layer Subspace | learning | for Multi-View Clustering |
| Reciprocal Twin Networks for Pedestrian Motion | learning | and Future Path Prediction |
| RECIST-Induced Reliable | learning | : Geometry-Driven Label Propagation for Universal Lesion Segmentation |
| Recognition and Classification of Martian Chaos Terrains Using Imagery Machine | learning | : A Global Distribution of Chaos Linked to Groundwater Circulation, Catastrophic Flooding, and Magmatism on Mars |
| Recognition and | learning | of a class of context-sensitive languages described by augmented regular expressions |
| Recognition and | learning | of Unknown Objects in a Hierarchical Knowledge-base |
| Recognition and | learning | With Polymorphic Structural Components |
| Recognition by association via | learning | per-exemplar distances |
| Recognition from Hand Cameras: A Revisit with Deep | learning | |
| Recognition improvement through the optimisation of | learning | instances |
| Recognition Method of New Address Elements in Chinese Address Matching Based on Deep | learning | |
| Recognition of 3D Objects by | learning | from Correspondences in a Sequence of Unlabeled Training Images |
| Recognition of cursive video text using a deep | learning | framework |
| Recognition of Emotions in User-Generated Videos through Frame-Level Adaptation and Emotion Intensity | learning | |
| Recognition of Hand-printed Chinese Characters Using Decision Trees/Machine | learning | C4.5 System |
| Recognition of printed arabic text based on global features and decision tree | learning | techniques |
| Recognition of Road Markings from In-Vehicle Camera Images by a Generative | learning | Method |
| Recognition of Sago Palm Trees Based on Transfer | learning | |
| Recognition of Temporal Structures: | learning | Prior and Propagating Observation Augmented Densities via Hidden Markov States |
| Recognition of the Bare Soil Using Deep Machine | learning | Methods to Create Maps of Arable Soil Degradation Based on the Analysis of Multi-Temporal Remote Sensing Data |
| Recognition-Oriented Image Compressive Sensing With Deep | learning | |
| Recognizer with | learning | Mechanism for Hand-Written Script English Words |
| Recognizing apple leaf diseases using a novel parallel real-time processing framework based on MASK RCNN and transfer | learning | : An application for smart agriculture |
| Recognizing Bengali Word Images - A Zero-Shot | learning | Perspective |
| Recognizing body poses using multilinear analysis and semi-supervised | learning | |
| Recognizing Complex Events in Videos by | learning | Key Static-Dynamic Evidences |
| Recognizing Eruptions of Mount Etna through Machine | learning | using Multiperspective Infrared Images |
| Recognizing Facial Expression: Machine | learning | and Application to Spontaneous Behavior |
| Recognizing Fish Species Captured Live on Wild Sea Surface in Videos by Deep Metric | learning | with a Temporal Constraint |
| Recognizing Gestures by | learning | Local Motion Signatures of HOG Descriptors |
| Recognizing Human Actions by | learning | and Matching Shape-Motion Prototype Trees |
| Recognizing machines with parametric and nonparametric | learning | methods using contextual information |
| Recognizing micro actions in videos by | learning | multi-layer local features |
| Recognizing Multiple Text Sequences from an Image by Pure End-to-End | learning | |
| Recognizing RGB Images by | learning | from RGB-D Data |
| Recognizing surface qualities from natural images based on | learning | to rank |
| Recombinator Networks: | learning | Coarse-to-Fine Feature Aggregation |
| Recommendation Approach in Social | learning | Based on K-Means Clustering, A |
| Reconfigurable Pedestrian Detection System Using Deep | learning | for Video Surveillance |
| Reconstruct and Represent Video Contents for Captioning via Reinforcement | learning | |
| Reconstructed Graph Constrained Auto-Encoders for Multi-View Representation | learning | |
| Reconstructing 3D Human Body Pose from Stereo Image Sequences Using Hierarchical Human Body Model | learning | |
| Reconstructing Interlaced High-Dynamic-Range Video Using Joint | learning | |
| Reconstructing Satellite-Based Monthly Precipitation over Northeast China Using Machine | learning | Algorithms |
| Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep | learning | |
| Reconstruction From Multispectral to Hyperspectral Image Using Spectral Library-Based Dictionary | learning | |
| Reconstruction Guided Meta- | learning | for Few Shot Open Set Recognition |
| Reconstruction of 3D human body pose from stereo image sequences based on top-down | learning | |
| Reconstruction of CASSI-Raman Images with Machine- | learning | |
| Reconstruction of Global Long-Term Gap-Free Daily Surface Soil Moisture from 2002 to 2020 Based on a Pixel-Wise Machine | learning | Method |
| Reconstruction of High-Resolution Sea Surface Salinity over 2003-2020 in the South China Sea Using the Machine | learning | Algorithm LightGBM Model |
| Reconstruction of Land Surface Temperature Derived from FY-4A AGRI Data Based on Two-Point Machine | learning | Method |
| Reconstruction of Monthly Surface Nutrient Concentrations in the Yellow and Bohai Seas from 2003-2019 Using Machine | learning | |
| Reconstruction of Near-Surface Air Temperature over the Greenland Ice Sheet Based on MODIS Data and Machine | learning | Approaches |
| Reconstruction of Ocean Color Data Using Machine | learning | Techniques in Polar Regions: Focusing on Off Cape Hallett, Ross Sea |
| Reconstruction of the Radar Reflectivity of Convective Storms Based on Deep | learning | and Himawari-8 Observations |
| Reconstruction regularized low-rank subspace | learning | for cross-modal retrieval |
| Reconstruction with dictionary | learning | for accelerated parallel magnetic resonance imaging |
| Recorrupted-to-Recorrupted: Unsupervised Deep | learning | for Image Denoising |
| Recovering 3D facial shape via coupled 2D/3D space | learning | |
| Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary | learning | |
| Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot | learning | |
| Recovery of missing information in graph sequences by means of reference pattern matching and decision tree | learning | |
| RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum | learning | |
| Rectification-based Knowledge Retention for Continual | learning | |
| Rectification-Based Knowledge Retention for Task Incremental | learning | |
| Rectified Binary Convolutional Networks with Generative Adversarial | learning | |
| Rectifying Pseudo Label | learning | via Uncertainty Estimation for Domain Adaptive Semantic Segmentation |
| Recurrent 3D-2D Dual | learning | for Large-Pose Facial Landmark Detection |
| Recurrent Adaptive Network: Balanced | learning | for Road Crack Segmentation with High-Resolution Images, A |
| Recurrent Filter | learning | for Visual Tracking |
| Recurrent | learning | with clique structures for prostate sparse-view CT artifacts reduction |
| Recurrent Multi-Frame Deraining: Combining Physics Guidance and Adversarial | learning | |
| Recurrent Neural Network for (Un-)Supervised | learning | of Monocular Video Visual Odometry and Depth |
| Recurrent Residual | learning | for Action Recognition |
| Recurrent Variational Network: A Deep | learning | Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction |
| Recursive compositional models: Representation, | learning | , and inference |
| Recursive CSI Quantization of Time-Correlated MIMO Channels by Deep | learning | Classification |
| Recursive Deep Residual | learning | for Single Image Dehazing |
| Recursive Gaussian process: On-line regression and | learning | |
| Recursive Least-Squares Estimator-Aided Online | learning | for Visual Tracking |
| Recursive NMF: Efficient label tree | learning | for large multi-class problems |
| Recursive Tower of Knowledge for | learning | to Interpret Scenes |
| Recursive unsupervised | learning | of finite mixture models |
| Red eye detection with machine | learning | |
| ReDAL: Region-based and Diversity-aware Active | learning | for Point Cloud Semantic Segmentation |
| Redefining prior feature space via finetuning a triplet network for few-shot | learning | |
| ReDFeat: Recoupling Detection and Description for Multimodal Feature | learning | |
| Redro: Efficiently | learning | Large-sized SPD Visual Representation |
| Reduced annotation based on deep active | learning | for arabic text detection in natural scene images |
| Reduced bootstrap aggregating of | learning | algorithms |
| reduced universum twin support vector machine for class imbalance | learning | , A |
| Reducing catastrophic forgetting with | learning | on synthetic data |
| Reducing communication in federated | learning | via efficient client sampling |
| Reducing Complexity of HEVC: A Deep | learning | Approach |
| Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature | learning | |
| Reducing False Positives in Video Shot Detection Using | learning | Techniques |
| Reducing Label Effort: Self-Supervised meets Active | learning | |
| Reducing magnetic resonance image spacing by | learning | without ground-truth |
| Reducing the training time of deep | learning | models using synchronous SGD and large batch size |
| Reducing Training Time in Cross-Silo Federated | learning | using Multigraph Topology |
| Reducing Triangle Inequality Violations with Deep | learning | and Its Application to Image Retrieval |
| ReenactGAN: | learning | to Reenact Faces via Boundary Transfer |
| Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface | learning | for Multi-View Reconstruction with Reflection |
| Reference Grid-assisted Network for 3D Point Signature | learning | from Point Clouds |
| Referring Image Segmentation by Generative Adversarial | learning | |
| Refined Deep | learning | for Digital Objects Recognition via Betti Invariants |
| Refined Method of High-Resolution Remote Sensing Change Detection Based on Machine | learning | for Newly Constructed Building Areas, A |
| Refining Design Spaces in Knowledge Distillation for Deep Collaborative | learning | |
| Refining Self-Supervised | learning | in Imaging: Beyond Linear Metric |
| Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep | learning | |
| Reflection and Rotation Symmetry Detection via Equivariant | learning | |
| Reflective | learning | With Label Noise |
| Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence | learning | |
| RegGeoNet: | learning | Regular Representations for Large-Scale 3D Point Clouds |
| Region and constellations based categorization of images with unsupervised graph | learning | |
| Region Attentive Action Unit Intensity Estimation With Uncertainty Weighted Multi-Task | learning | |
| Region Graph Embedding Network for Zero-shot | learning | |
| Region Similarity Representation | learning | |
| Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via | learning | -Based Image Synthesis |
| Region-aware Contrastive | learning | for Semantic Segmentation |
| Region-Aware Hierarchical Latent Feature Representation | learning | -Guided Clustering for Hyperspectral Band Selection |
| Region-Aware Image Captioning via Interaction | learning | |
| Region-Based Deep | learning | Approach to Automated Retail Checkout, A |
| Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance | learning | |
| Region-Based Image Clustering and Retrieval Using Multiple Instance | learning | |
| Region-based Image Retrieval Using Probabilistic Feature Relevance | learning | |
| Region-based image retrieval with high-level semantics using decision tree | learning | |
| Region-specific Metric | learning | for Person Re-identification |
| Regional Homogeneity: Towards | learning | Transferable Universal Adversarial Perturbations Against Defenses |
| Regional Manifold | learning | for Disease Classification |
| Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep | learning | and VHR Images |
| Regional Representativeness Analysis of Ground-Monitoring PM2.5 Concentration Based on Satellite Remote Sensing Imagery and Machine | learning | Techniques |
| Regional Typhoon Track Prediction Using Ensemble k-Nearest Neighbor Machine | learning | in the GIS Environment |
| RegionBoost | learning | for 2D+3D based face recognition |
| RegionCL: Exploring Contrastive Region Pairs for Self-supervised Representation | learning | |
| Register based on efficient scene | learning | and keypoint matching for Augmented Reality system |
| Registration Loss | learning | for Deep Probabilistic Point Set Registration |
| Registration-enhanced multiple instance | learning | for cervical cancer whole slide image classification |
| Regression Based Trajectory | learning | and Prediction for Human Motion |
| Regression Facial Attribute Classification via simultaneous dictionary | learning | |
| Regression-based metric | learning | |
| Regressor Basis | learning | for anchored super-resolution |
| Regularisation | learning | of correlation filters for robust visual tracking |
| Regularised transfer | learning | for hyperspectral image classification |
| Regularising neural networks for future trajectory prediction via inverse reinforcement | learning | framework |
| Regularization Algorithms for | learning | That Are Equivalent to Multilayer Networks |
| Regularization Framework for | learning | Over Multitask Graphs, A |
| Regularization in metric | learning | for person re-identification |
| Regularization of Mixture Models for Robust Principal Graph | learning | |
| Regularize, Expand and Compress: NonExpansive Continual | learning | |
| Regularized Approach for Geodesic-Based Semisupervised Multimanifold | learning | , A |
| regularized approach for unsupervised multi-view multi-manifold | learning | , A |
| Regularized Background Adaptation: A Novel | learning | Rate Control Scheme for Gaussian Mixture Modeling |
| Regularized Bayesian Metric | learning | for Person Re-identification |
| Regularized dynamic Boltzmann machine with Delay Pruning for unsupervised | learning | of temporal sequences |
| regularized ensemble framework of deep | learning | for cancer detection from multi-class, imbalanced training data, A |
| Regularized Hierarchical Feature | learning | with Non-negative Sparsity and Selectivity for Image Classification |
| Regularized | learning | framework in the estimation of reflectance spectra from camera responses |
| Regularized local metric | learning | for person re-identification |
| Regularized Locality Preserving | learning | of Pre-Image Problem in Kernel Principal Component Analysis |
| Regularized margin-based conditional log-likelihood loss for prototype | learning | |
| Regularized Matrix Factorization for Multilabel | learning | With Missing Labels |
| Regularized Mixed Dimensionality and Density | learning | in Computer Vision |
| Regularized motion blur-kernel estimation with adaptive sparse image prior | learning | |
| Regularized Multi-view Multi-metric | learning | for Action Recognition |
| Regularized Primitive Graph | learning | for Unified Vector Mapping |
| Regularized set-to-set distance metric | learning | for hyperspectral image classification |
| Regularized uncertainty-based multi-task | learning | model for food analysis |
| Regularized vector field | learning | with sparse approximation for mismatch removal |
| Regularizing CNN Transfer | learning | With Randomised Regression |
| Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative | learning | |
| Regularizing Meta- | learning | via Gradient Dropout |
| Regularizing multiple kernel | learning | using response surface methodology |
| Regularizing Second-Order Influences for Continual | learning | |
| Regularizing Visual Semantic Embedding With Contrastive | learning | for Image-Text Matching |
| Regularly Truncated M-Estimators for | learning | With Noisy Labels |
| Rehearsal revealed: The limits and merits of revisiting samples in continual | learning | |
| Rehearsal-Free Continual | learning | over Small Non-I.I.D. Batches |
| Reinforced Attention for Few-Shot | learning | and Beyond |
| Reinforced Cross-Media Correlation | learning | by Context-Aware Bidirectional Translation |
| Reinforced Cross-Modal Matching and Self-Supervised Imitation | learning | for Vision-Language Navigation |
| Reinforced Curriculum | learning | for Autonomous Driving in Carla |
| Reinforced Self-Supervised Training for Few-Shot | learning | |
| Reinforcedet: Object Detection By Integrating Reinforcement | learning | With Decoupled Pipeline |
| Reinforcement Cutting-Agent | learning | for Video Object Segmentation |
| Reinforcement | learning | |
| Reinforcement | learning | and Neuroevolution in Flappy Bird Game |
| Reinforcement | learning | and Particle Swarm Optimization Supporting Real-Time Rescue Assignments for Multiple Autonomous Underwater Vehicles |
| Reinforcement | learning | and Prediction-Based Lookahead Policy for Vehicle Repositioning in Online Ride-Hailing Systems, A |
| Reinforcement | learning | Approach for Enacting Cautious Behaviours in Autonomous Driving System: Safe Speed Choice in the Interaction With Distracted Pedestrians, A |
| Reinforcement | learning | Approach for Rebalancing Electric Vehicle Sharing Systems, A |
| reinforcement | learning | approach to active camera foveation, A |
| Reinforcement | learning | Approach to Autonomous Decision Making of Intelligent Vehicles on Highways, A |
| Reinforcement | learning | Approach to the View Planning Problem, A |
| Reinforcement | learning | Based Advertising Strategy Using Crowdsensing Vehicular Data |
| Reinforcement | learning | based coding unit early termination algorithm for high efficiency video coding |
| Reinforcement | learning | based mainline dynamic speed limit adjustment of expressway off-ramp upstream under connected and autonomous vehicles environment |
| Reinforcement | learning | Based Relay Selection for Underwater Acoustic Cooperative Networks |
| Reinforcement | learning | Based Two-Stage Model for Emotion Cause Pair Extraction, A |
| Reinforcement | learning | based visual attention with application to face detection |
| Reinforcement | learning | combined with a fuzzy adaptive learning control network (FALCON-R) for pattern classification |
| Reinforcement | learning | combined with a fuzzy adaptive learning control network (FALCON-R) for pattern classification |
| Reinforcement | learning | cropping method based on comprehensive feature and aesthetics assessment |
| Reinforcement | learning | Enhanced PicHunter for Interactive Search |
| Reinforcement | learning | for combining relevance feedback techniques |
| Reinforcement | learning | for Compressed-Sensing Based Frequency Agile Radar in the Presence of Active Interference |
| Reinforcement | learning | for instance segmentation with high-level priors |
| Reinforcement | learning | for Integrating Context with Clutter Models for Target Detection |
| Reinforcement | learning | for Logic Recipe Generation: Bridging Gaps From Images to Plans |
| Reinforcement | learning | for neural architecture search: A review |
| Reinforcement | learning | for Online Dispatching Policy in Real-Time Train Timetable Rescheduling |
| Reinforcement | learning | for Robust and Efficient Real-World Tracking |
| Reinforcement | learning | for video encoder control in HEVC |
| Reinforcement | learning | for Visual Object Detection |
| reinforcement | learning | framework for parameter control in computer vision applications, A |
| Reinforcement | learning | Helps SLAM: Learning to Build Maps |
| Reinforcement | learning | Helps SLAM: Learning to Build Maps |
| Reinforcement | learning | in Reproducing Kernel Hilbert Spaces: Enabling Continuous Brain-Machine Interface Adaptation |
| Reinforcement | learning | Integrated Image Segmentation and Object Recognition |
| Reinforcement | learning | to Drive a Car by Pattern Matching |
| Reinforcement | learning | via Recurrent Convolutional Neural Networks |
| Reinforcement | learning | with Dual Attention Guided Graph Convolution for Relation Extraction |
| Reinforcement | learning | With Function Approximation for Traffic Signal Control |
| Reinforcement | learning | With Multiple Relational Attention for Solving Vehicle Routing Problems |
| Reinforcement | learning | with Raw Image Pixels as Input State |
| Reinforcement | learning | with space carving for plant scanning |
| Reinforcement | learning | -Based Black-Box Model Inversion Attacks |
| Reinforcement | learning | -based feature learning for object tracking |
| Reinforcement | learning | -based feature learning for object tracking |
| Reinforcement | learning | -Based Interactive Video Search |
| Reinforcement | learning | -Based Layer-Wise Quantization For Lightweight Deep Neural Networks |
| Reinforcement | learning | -Based Variable Speed Limit Control Strategy to Reduce Traffic Congestion at Freeway Recurrent Bottlenecks |
| Reinforcement online | learning | for emotion prediction by using physiological signals |
| Reinforcement-based Display Selection for Frugal | learning | |
| Reinforcement- | learning | -Based Cooperative Adaptive Cruise Control of Buses in the Lincoln Tunnel Corridor with Time-Varying Topology |
| Reinforcement- | learning | -Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline, A |
| Reinforcing Generated Images via Meta- | learning | for One-Shot Fine-Grained Visual Recognition |
| Relation fusion propagation network for transductive few-shot | learning | |
| Relation | learning | : A New Approach to Face Recognition |
| Relation-aware attention for video captioning via graph | learning | |
| Relation-Aware Compositional Zero-Shot | learning | for Attribute-Object Pair Recognition |
| Relation-Aware Shared Representation | learning | for Cancer Prognosis Analysis with Auxiliary Clinical Variables and Incomplete Multi-Modality Data |
| Relation-Induced Multi-Modal Shared Representation | learning | for Alzheimer's Disease Diagnosis |
| Relational Context | learning | for Human-Object Interaction Detection |
| Relational graph labelling using | learning | techniques and markov random fields |
| Relational | learning | and Network Modelling Using Infinite Latent Attribute Models |
| relational | learning | method for pattern and object recognition, A |
| Relational | learning | techniques for document image understanding: comparing statistical and logical approaches |
| Relational-Regularized Discriminative Sparse | learning | for Alzheimer's Disease Diagnosis |
| RelationNet: | learning | Deep-Aligned Representation for Semantic Image Segmentation |
| Relationship Induced Multi-atlas | learning | for Alzheimer's Disease Diagnosis |
| Relationship Induced Multi-Template | learning | for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment |
| Relationship Matters: Relation Guided Knowledge Transfer for Incremental | learning | of Object Detectors |
| Relationship-Embedded Representation | learning | for Grounding Referring Expressions |
| Relative attribute guided dictionary | learning | |
| Relative Attribute SVM: | learning | for Age Estimation |
| Relative CNN-RNN: | learning | Relative Atmospheric Visibility From Images |
| Relative Contrastive Loss for Unsupervised Representation | learning | |
| Relative Order Analysis and Optimization for Unsupervised Deep Metric | learning | |
| Relative Parts: Distinctive Parts for | learning | Relative Attributes |
| Relative Position and Map Networks in Few-shot | learning | for Image Classification |
| Relatively-Paired Space Analysis: | learning | a Latent Common Space From Relatively-Paired Observations |
| RELAX: Representation | learning | Explainability |
| Relaxation Labeling with | learning | Automata |
| Relaxed Exponential Kernels for Unsupervised | learning | |
| Relaxing Contrastiveness in Multimodal Representation | learning | |
| Relaxing from Vocabulary: Robust Weakly-Supervised Deep | learning | for Vocabulary-Free Image Tagging |
| Relay Backpropagation for Effective | learning | of Deep Convolutional Neural Networks |
| Relay Boost Fusion for | learning | Rare Concepts in Multimedia |
| ReLeaPS: Reinforcement | learning | -based Illumination Planning for Generalized Photometric Stereo |
| Relevance feedback based on incremental | learning | for mammogram retrieval |
| Relevance feedback for Content-based Image Retrieval using deep | learning | |
| Relevance feedback in content-based image retrieval: Bayesian framework, feature subspaces, and progressive | learning | |
| Relevance feedback using generalized Bayesian framework with region-based optimization | learning | |
| Relevance | learning | for spectral clustering with applications on image segmentation and video behaviour profiling |
| Relevance Metric | learning | for Person Re-identification by Exploiting Global Similarities |
| Relevance Metric | learning | for Person Re-Identification by Exploiting Listwise Similarities |
| Relevance Vector Machine | learning | for Detection of Microcalcifications in Mammograms |
| Relevant pattern selection for subspace | learning | |
| Reliability of Deep Neural Networks for an End-to-End Imitation | learning | -Based Lane Keeping |
| Reliability-Aware Prediction via Uncertainty | learning | for Person Image Retrieval |
| Reliable and Interpretable Personalized Federated | learning | |
| Reliable and Scalable Routing Under Hybrid SDVN Architecture: A Graph | learning | Based Method |
| Reliable Crowdsourcing and Deep Locality-Preserving | learning | for Expression Recognition in the Wild |
| Reliable Crowdsourcing and Deep Locality-Preserving | learning | for Unconstrained Facial Expression Recognition |
| Reliable Object Recognition Using Deep Transfer | learning | for Marine Transportation Systems With Underwater Surveillance |
| Relief Supply-Demand Estimation Based on Social Media in Typhoon Disasters Using Deep | learning | and a Spatial Information Diffusion Model |
| ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label | learning | |
| RelocNet: Continuous Metric | learning | Relocalisation Using Neural Nets |
| ReMagicMirror: Action | learning | Using Human Reenactment with the Mirror Metaphor |
| ReMarNet: Conjoint Relation and Margin | learning | for Small-Sample Image Classification |
| Remembering Both the Machine and the Crowd When Sampling Points: Active | learning | for Semantic Segmentation of ALS Point Clouds |
| Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep | learning | Solution With Video Enhancement |
| Remote Sensing and Deep | learning | to Understand Noisy OpenStreetMap |
| Remote Sensing and Machine | learning | in Crop Phenotyping and Management, with an Emphasis on Applications in Strawberry Farming |
| Remote Sensing and Machine | learning | Tools to Support Wetland Monitoring: A Meta-Analysis of Three Decades of Research |
| Remote Sensing and Machine | learning | -Based Approach to Forecast the Onset of Harmful Algal Bloom, A |
| Remote Sensing and Texture Image Classification Network Based on Deep | learning | Integrated with Binary Coding and Sinkhorn Distance |
| Remote Sensing Approach for Surface Urban Heat Island Modeling in a Tropical Colombian City Using Regression Analysis and Machine | learning | Algorithms, A |
| Remote Sensing Big Data Classification with High Performance Distributed Deep | learning | |
| remote sensing computer-assisted | learning | tool developed using the unified modeling language, A |
| Remote Sensing Crop Recognition by Coupling Phenological Features and Off-Center Bayesian Deep | learning | |
| Remote Sensing Extraction of Lakes on the Tibetan Plateau Based on the Google Earth Engine and Deep | learning | |
| Remote sensing image compression based on double-sparsity dictionary | learning | and universal trellis coded quantization |
| Remote sensing image quality evaluation based on deep support value | learning | networks |
| Remote Sensing Image Scene Classification via Multi-Level Representation | learning | |
| Remote Sensing Image Scene Classification via Self-Supervised | learning | and Knowledge Distillation |
| Remote Sensing Image Scene Classification with Self-Supervised | learning | Based on Partially Unlabeled Datasets |
| Remote Sensing Mapping of Build-Up Land with Noisy Label via Fault-Tolerant | learning | |
| Remote Sensing Object Detection in the Deep | learning | Era: A Review |
| Remote Sensing of Chlorophyll-a in Xinkai Lake Using Machine | learning | and GF-6 WFV Images |
| Remote Sensing of Global Sea Surface pH Based on Massive Underway Data and Machine | learning | |
| Remote Sensing of Lake Water Clarity: Performance and Transferability of Both Historical Algorithms and Machine | learning | |
| Remote Sensing of Soil Organic Carbon at Regional Scale Based on Deep | learning | : A Case Study of Agro-Pastoral Ecotone in Northern China |
| Remote Sensing Scene Classification by Unsupervised Representation | learning | |
| Remote Sensing-Based Mapping of Senescent Leaf C:N Ratio in the Sundarbans Reserved Forest Using Machine | learning | Techniques |
| Remote-Sensing Data and Deep- | learning | Techniques in Crop Mapping and Yield Prediction: A Systematic Review |
| Remote-Sensing Scene-Image Classification Method Based on Deep Multiple-Instance | learning | with a Residual Dense Attention ConvNet, A |
| Removal of 3D facial expressions: A | learning | -based approach |
| Removing Arbitrary-Scale Rain Streaks via Fractal Band | learning | With Self-Supervision |
| Removing Atmospheric Turbulence via Deep Adversarial | learning | |
| Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep | learning | |
| Removing InSAR Topography-Dependent Atmospheric Effect Based on Deep | learning | |
| Removing JPEG blocking artifacts using machine | learning | |
| Removing Label Ambiguity in | learning | -Based Visual Saliency Estimation |
| Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation | learning | |
| ReMP: Rectified Metric Propagation for Few-Shot | learning | |
| Rendering Natural Camera Bokeh Effect with Deep | learning | |
| Rendering Realistic Subject-Dependent Expression Images by | learning | 3DMM Deformation Coefficients |
| Renofeation: A Simple Transfer | learning | Method for Improved Adversarial Robustness |
| Reparameterizing Convolutions for Incremental Multi-Task | learning | Without Task Interference |
| Repeatability Is Not Enough: | learning | Affine Regions via Discriminability |
| Replacing Mobile Camera ISP with a Single Deep | learning | Model |
| Reply to Comments on Traffic Sign Recognition Using Kernel Extreme | learning | Machines With Deep Perceptual Features |
| RepMet: Representative-Based Metric | learning | for Classification and Few-Shot Object Detection |
| RepMode: | learning | to Re-Parameterize Diverse Experts for Subcellular Structure Prediction |
| RepNet: Efficient On-Device | learning | via Feature Reprogramming |
| REPNP: Plug-and-Play with Deep Reinforcement | learning | Prior for Robust Image Restoration |
| Report of the AAAI Fall Symposium on Machine | learning | and Computer Vision: What, Why and How? |
| Representation and | learning | of invariance |
| Representation Disentanglement in Generative Models with Contrastive | learning | |
| Representation | learning | by hierarchical ELM auto-encoder with double random hidden layers |
| Representation | learning | by Learning to Count |
| Representation | learning | by Learning to Count |
| Representation | learning | by Rotating Your Faces |
| Representation | learning | for Cloud Classification |
| Representation | learning | for Contextual Object and Region Detection in Remote Sensing |
| Representation | learning | for Cross-Modality Classification |
| Representation | learning | for Point Clouds with Variational Autoencoders |
| Representation | learning | for very short texts using weighted word embedding aggregation |
| Representation | learning | for Visual Object Tracking by Masked Appearance Transfer |
| Representation | learning | from videos in-the-wild: An object-centric approach |
| Representation | learning | of Histopathology Images using Graph Neural Networks |
| Representation | learning | of image composition for aesthetic prediction |
| Representation | learning | of Temporal Dynamics for Skeleton-Based Action Recognition |
| Representation | learning | of Vertex Heatmaps for 3D Human Mesh Reconstruction From Multi-View Images |
| Representation | learning | on Unit Ball with 3D Roto-translational Equivariance |
| Representation | learning | on Visual-Symbolic Graphs for Video Understanding |
| Representation | learning | Optimization for 3D Point Cloud Quality Assessment Without Reference |
| Representation | learning | Through Latent Canonicalizations |
| Representation | learning | using deep random vector functional link networks for clustering |
| Representation | learning | Using Rank Loss for Robust Neurosurgical Skills Evaluation |
| Representation | learning | via Global Temporal Alignment and Cycle-Consistency |
| Representation | learning | with a Variational Autoencoder for Predicting Nitrogen Requirement in Rice |
| Representation | learning | With Class Level Autoencoder for Intelligent Fault Diagnosis |
| Representation | learning | with deep sparse auto-encoder for multi-task learning |
| Representation | learning | with deep sparse auto-encoder for multi-task learning |
| Representation | learning | with Information Theory to Detect Covid-19 and Its Severity |
| Representation | learning | with Smooth Autoencoder |
| Representation | learning | with Statistical Independence to Mitigate Bias |
| Representation | learning | with Very Limited Images: The Potential of Self-, Synthetic- and Formula-Supervision |
| Representation | learning | , Scene Understanding, and Feature Fusion for Drowsiness Detection |
| Representation | learning | : A Review and New Perspectives |
| Representation Similarity Analysis for Efficient Task Taxonomy and Transfer | learning | |
| Representative | learning | via Span-Based Mutual Information for PolSAR Image Classification |
| Representative Multiple Kernel | learning | for Classification in Hyperspectral Imagery |
| Representative-Discriminative | learning | for Open-Set Land Cover Classification of Satellite Imagery |
| Representing and | learning | High Dimensional Data with the Optimal Transport Map from a Probabilistic Viewpoint |
| Representing Spatial Data with Graph Contrastive | learning | |
| Reproducible Scaling Laws for Contrastive Language-Image | learning | |
| ResDNN: deep residual | learning | for natural image denoising |
| Research and Design of Smart Home Speech Recognition System Based on Deep | learning | |
| Research into the Optimal Regulation of the Groundwater Table and Quality in the Southern Plain of Beijing Using Geographic Information Systems Data and Machine | learning | Algorithms |
| Research on and Application of GNSS Assisted MINS Multiscale | learning | Method Based on Chaotic Neural Network |
| Research on Application of Weighted Sampling Bayesian Network Parameter | learning | in Bridge Condition Assessment |
| Research on Arc Sag Measurement Methods for Transmission Lines Based on Deep | learning | and Photogrammetry Technology |
| Research on Automatic Dish Recognition Algorithm Based on Deep | learning | |
| Research on Automatic Identification Method of Terraces on the Loess Plateau Based on Deep Transfer | learning | |
| Research on automatic target detection and recognition based on deep | learning | |
| Research on Cross-Regional Debris Flow Susceptibility Mapping Based on Transfer | learning | , A |
| Research on data classification and feature fusion method of cancer nuclei image based on deep | learning | |
| Research on de-motion blur image processing based on deep | learning | |
| Research on deep | learning | in the field of mechanical equipment fault diagnosis image quality |
| Research on Fruit Counting of Xanthoceras Sorbifolium Bunge Based on Deep | learning | |
| Research on High-Resolution Reconstruction of Marine Environmental Parameters Using Deep | learning | Model |
| Research on identification and classification of grassland forage based on deep | learning | and attention mechanisms |
| Research on image recognition based on neural network model | learning | algorithm |
| Research on Image Recognition based on Reinforcement | learning | |
| Research on image steganography analysis based on deep | learning | |
| Research on Long-Term Tidal-Height-Prediction-Based Decomposition Algorithms and Machine | learning | Models |
| Research On Path Planning Of Hull Decontamination Robot Based On Q- | learning | |
| Research on Personalized AEB Strategies Based on Self-Supervised Contrastive | learning | |
| Research on Remote-Sensing Identification Method of Typical Disaster-Bearing Body Based on Deep | learning | and Spatial Constraint Strategy |
| Research on Resource Allocation Method of Space Information Networks Based on Deep Reinforcement | learning | |
| Research on Road Marking Extraction Method Based on Machine | learning | |
| Research on Soil Moisture Inversion Method for Canal Slope of the Middle Route Project of the South to North Water Transfer Based on GNSS-R and Deep | learning | |
| Research on the algorithm of urban waste classification and recycling based on deep | learning | technology |
| Research on the parallelization of image quality analysis algorithm based on deep | learning | |
| Research on Vehicle Object Detection Based on Deep | learning | |
| Research on video classification method of key pollution sources based on deep | learning | |
| Research on Vision of Intelligent Car Based on Broad | learning | System |
| Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer | learning | is not as accurate as widely thought |
| Reshaping Leaf-Level Reflectance Data for Plant Species Discrimination: Exploring Image Shape's Impact on Deep | learning | Results |
| Residual Degradation | learning | Unfolding Framework with Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging |
| Residual Guided Deblocking With Deep | learning | |
| Residual | learning | Approach to Deblur and Generate High Frame Rate Video With an Event Camera, A |
| Residual | learning | based CNN for breast cancer histopathological image classification |
| Residual | learning | for Salient Object Detection |
| Residual | learning | of Video Frame Interpolation Using Convolutional LSTM |
| Residual MeshNet: | learning | to Deform Meshes for Single-View 3D Reconstruction |
| Residual multi-task | learning | for facial landmark localization and expression recognition |
| Residual Pattern | learning | for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation |
| Residual Pyramid | learning | for Single-Shot Semantic Segmentation |
| Residual U-Structure Nested Conditional Adversarial Nets Colorized CT Improves Deep | learning | Based Abdominal Multi-Organ Segmentation |
| Resilient Cooperative Adaptive Cruise Control for Autonomous Vehicles Using Machine | learning | |
| ResLT: Residual | learning | for Long-Tailed Recognition |
| ResnetCrowd: A residual deep | learning | architecture for crowd counting, violent behaviour detection and crowd density level classification |
| Resolution enhancement based on | learning | the sparse association of image patches |
| Resolution enhancement of facial image using an error back-projection of example-based | learning | |
| Resolution | learning | in Deep Convolutional Networks Using Scale-Space Theory |
| Resolution of Pattern Recognition Problems using a Hybrid Genetic/Random Neural Network | learning | Algorithm |
| Resolving Copycat Problems in Visual Imitation | learning | via Residual Action Prediction |
| Resource Efficient Deep | learning | for Computer Vision |
| Resource Problem of Using Linear Layer Leakage Attack in Federated | learning | , The |
| Respho(sc)net: A Zero-shot | learning | Framework for Norwegian Handwritten Word Image Recognition |
| Responding to Large-Scale Forest Damage in an Alpine Environment with Remote Sensing, Machine | learning | , and Web-GIS |
| Responsive Social Smile: A Machine | learning | based Multimodal Behavior Assessment Framework towards Early Stage Autism Screening |
| ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated | learning | |
| ResT-ReID: Transformer block-based residual | learning | for person re-identification |
| RESTEP Into the Future: Relational Spatio-Temporal | learning | for Multi-Person Action Forecasting |
| Restoring vision in hazy weather with hierarchical contrastive | learning | |
| Results of the 2020 fastMRI Challenge for Machine | learning | MR Image Reconstruction |
| ResUNet-a: A deep | learning | framework for semantic segmentation of remotely sensed data |
| Retaining Diverse Information in Contrastive | learning | Through Multiple Projectors |
| Retargeted Regression Methods for Multi-label | learning | |
| Rethink arbitrary style transfer with transformer and contrastive | learning | |
| Rethinking 360° Image Visual Attention Modelling with Unsupervised | learning | |
| Rethinking Amodal Video Segmentation from | learning | Supervised Signals with Object-centric Representation |
| Rethinking Architecture Design for Tackling Data Heterogeneity in Federated | learning | |
| Rethinking Attentive Object Detection via Neural Attention | learning | |
| Rethinking Bayesian Deep | learning | Methods for Semi-Supervised Volumetric Medical Image Segmentation |
| Rethinking class orders and transferability in class incremental | learning | |
| Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot | learning | |
| Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta- | learning | |
| Rethinking Collaborative Metric | learning | : Toward an Efficient Alternative Without Negative Sampling |
| Rethinking deep active | learning | : Using unlabeled data at model training |
| Rethinking Dual-Stream Super-Resolution Semantic | learning | in Medical Image Segmentation |
| Rethinking Experience Replay: a Bag of Tricks for Continual | learning | |
| Rethinking Federated | learning | with Domain Shift: A Prototype View |
| Rethinking Few-Shot Class-Incremental | learning | With Open-Set Hypothesis in Hyperbolic Geometry |
| Rethinking Gradient Projection Continual | learning | : Stability/Plasticity Feature Space Decoupling |
| Rethinking Graph Contrastive | learning | : An Efficient Single-View Approach via Instance Discrimination |
| Rethinking Image Super Resolution from Long-Tailed Distribution | learning | Perspective |
| Rethinking Knowledge Graph Propagation for Zero-Shot | learning | |
| Rethinking | learning | Approaches for Long-Term Action Anticipation |
| Rethinking Minimal Sufficient Representation in Contrastive | learning | |
| Rethinking precision of pseudo label: Test-time adaptation via complementary | learning | |
| Rethinking preventing class-collapsing in metric | learning | with margin-based losses |
| Rethinking Representation | learning | -Based Hyperspectral Target Detection: A Hierarchical Representation Residual Feature-Based Method |
| Rethinking Robust Representation | learning | Under Fine-Grained Noisy Faces |
| Rethinking Rotation in Self-Supervised Contrastive | learning | : Adaptive Positive or Negative Data Augmentation |
| Rethinking Safe Semi-supervised | learning | : Transferring the Open-set Problem to A Close-set One |
| Rethinking Self-supervised Correspondence | learning | : A Video Frame-level Similarity Perspective |
| Rethinking Spatiotemporal Feature | learning | : Speed-Accuracy Trade-offs in Video Classification |
| Rethinking Task-Incremental | learning | Baselines |
| Rethinking the Augmentation Module in Contrastive | learning | : Learning Hierarchical Augmentation Invariance with Expanded Views |
| Rethinking the Augmentation Module in Contrastive | learning | : Learning Hierarchical Augmentation Invariance with Expanded Views |
| Rethinking the Data Annotation Process for Multiview 3D Pose Estimation with Active | learning | and Self-Training |
| Rethinking the | learning | Paradigm for Dynamic Facial Expression Recognition |
| Rethinking Video Anomaly Detection - A Continual | learning | Approach |
| Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video | learning | |
| Rethinking Zero-shot Action Recognition: | learning | from Latent Atomic Actions |
| Rethinking Zero-Shot | learning | : A Conditional Visual Classification Perspective |
| RethNet: Object-by-Object | learning | for Detecting Facial Skin Problems |
| Retin al: an active | learning | strategy for image category retrieval |
| Retinal Image Synthesis and Semi-Supervised | learning | for Glaucoma Assessment |
| Retinal Structure Detection in OCTA Image via Voting-Based Multitask | learning | |
| Retinal vessel enhancement via sparse coding and dictionary | learning | |
| Retraction: Deep | learning | for real-time semantic segmentation: Application in ultrasound imaging |
| Retraction: Optimal brain tumor diagnosis based on deep | learning | and balanced sparrow search algorithm |
| Retrieval of Atmospheric Temperature Profile from Historical Data and Ground-Based Observations by Using a Machine | learning | Algorithm |
| Retrieval of Chlorophyll-a Concentrations Using Sentinel-2 MSI Imagery in Lake Chagan Based on Assessments with Machine | learning | Models |
| Retrieval of Daily Reference Evapotranspiration for Croplands in South Korea Using Machine | learning | with Satellite Images and Numerical Weather Prediction Data |
| Retrieval of Desert Microwave Land Surface Emissivity Based on Machine | learning | Algorithms |
| Retrieval of Farmland Surface Soil Moisture Based on Feature Optimization and Machine | learning | |
| Retrieval of Fine-Grained PM2.5 Spatiotemporal Resolution Based on Multiple Machine | learning | Models |
| Retrieval of Forest Vertical Structure from PolInSAR Data by Machine | learning | Using LIDAR-Derived Features |
| Retrieval of Hyperspectral Surface Reflectance Based on Machine | learning | |
| Retrieval of Live Fuel Moisture Content Based on Multi-Source Remote Sensing Data and Ensemble Deep | learning | Model |
| Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine | learning | Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data |
| Retrieval of Total Phosphorus Concentration in the Surface Water of Miyun Reservoir Based on Remote Sensing Data and Machine | learning | Algorithms |
| Retrieval of Water Quality from UAV-Borne Hyperspectral Imagery: A Comparative Study of Machine | learning | Algorithms |
| Retrieval of Water Quality Parameters Based on Near-Surface Remote Sensing and Machine | learning | Algorithm |
| Retrieval of Water Quality Parameters in Dianshan Lake Based on Sentinel-2 MSI Imagery and Machine | learning | : Algorithm Evaluation and Spatiotemporal Change Research |
| Retrieval Oriented Deep Feature | learning | With Complementary Supervision Mining |
| retrieval pattern-based inter-query | learning | approach for content-based image retrieval, A |
| Retrieval-based cartoon gesture recognition and applications via semi-supervised heterogeneous classifiers | learning | |
| Retrieving SPAD Values of Summer Maize Using UAV Hyperspectral Data Based on Multiple Machine | learning | Algorithm |
| Retro-Actions: | learning | Close by Time-Reversing Open Videos |
| Retrospect to Multi-prompt | learning | across Vision and Language, A |
| Reusability of the Output of Map-Matching Algorithms Across Space and Time Through Machine | learning | |
| Reuse Non-Terrain Policies for | learning | Terrain-Adaptive Humanoid Locomotion Skills |
| Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised | learning | |
| Reve: Regularizing Deep | learning | with Variational Entropy Bound |
| Revealing Fine Structures of the Retinal Receptive Field by Deep- | learning | Networks |
| Revealing the Potential of Deep | learning | for Detecting Submarine Pipelines in Side-Scan Sonar Images: An Investigation of Pre-Training Datasets |
| Review and Evaluation of Deep | learning | Architectures for Efficient Land Cover Mapping with UAS Hyper-Spatial Imagery: A Case Study Over a Wetland |
| Review of Automatic Processing of Topography and Surface Feature Identification LiDAR Data Using Machine | learning | Techniques |
| review of data preprocessing modules in digital image forensics methods using deep | learning | , A |
| Review of Deep | learning | in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises, A |
| Review of Deep | learning | in Multiscale Agricultural Sensing, A |
| review of deep | learning | techniques for 2D and 3D human pose estimation, A |
| Review of Deep- | learning | Methods for Change Detection in Multispectral Remote Sensing Images, A |
| Review of Generalized Zero-Shot | learning | Methods, A |
| Review of Hyperspectral Image Super-Resolution Based on Deep | learning | , A |
| Review of Image Super-Resolution Approaches Based on Deep | learning | and Applications in Remote Sensing, A |
| review of lane detection methods based on deep | learning | , A |
| Review of Machine | learning | Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data |
| Review of Machine | learning | -Based Recognition of Sign Language, A |
| review of non-rigid transformations and | learning | -based 3D point cloud registration methods, A |
| Review of Pedestrian Trajectory Prediction Methods: Comparing Deep | learning | and Knowledge-Based Approaches |
| review of reinforcement | learning | applications in adaptive traffic signal control, A |
| Review of Remote Sensing Image Object Detection Algorithms Based on Deep | learning | , A |
| Review of Research on Human Behavior Recognition Methods Based on Deep | learning | , A |
| Review of the application of machine | learning | to the automatic semantic annotation of images |
| Review of the Challenges of Using Deep | learning | Algorithms to Support Decision-Making in Agricultural Activities, A |
| Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine | learning | , A |
| review of unsupervised feature | learning | and deep learning for time-series modeling, A |
| review of unsupervised feature | learning | and deep learning for time-series modeling, A |
| Review of Visual Simultaneous Localization and Mapping Based on Deep | learning | |
| review of wave-net identical | learning | and filling-in in a decomposition space of (JPG-JPEG) sampled images, A |
| Review of Wide-Baseline Stereo Image Matching Based on Deep | learning | |
| Review on Data Driven Preliminary Study Pertaining to Assistive Digital | learning | Technologies to Support Dyscalculia Learners |
| Review on Deep | learning | Algorithms and Benchmark Datasets for Pairwise Global Point Cloud Registration |
| Review on Deep | learning | Classifier for Hyperspectral Imaging, A |
| Review on Deep | learning | Techniques for 3D Sensed Data Classification, A |
| Review on Deep | learning | Techniques for Video Prediction, A |
| Review on IoT Deep | learning | UAV Systems for Autonomous Obstacle Detection and Collision Avoidance, A |
| Review on Natural Disaster Detection in Social Media and Satellite Imagery Using Machine | learning | and Deep Learning, A |
| Review on Natural Disaster Detection in Social Media and Satellite Imagery Using Machine | learning | and Deep Learning, A |
| Review: Deep | learning | on 3D Point Clouds |
| Revising Cadastral Data on Land Boundaries Using Deep | learning | in Image-Based Mapping |
| Revising the Observation Satellite Scheduling Problem Based on Deep Reinforcement | learning | |
| Revisiting Consistency Regularization for Semi-Supervised | learning | |
| Revisiting Distillation and Incremental Classifier | learning | |
| Revisiting Example Dependent Cost-Sensitive | learning | with Decision Trees |
| Revisiting hierarchy: Deep | learning | with orthogonally constrained prior for classification |
| Revisiting IM2GPS in the Deep | learning | Era |
| Revisiting ImprovedGAN with Metric | learning | for Semi-Supervised Learning |
| Revisiting ImprovedGAN with Metric | learning | for Semi-Supervised Learning |
| Revisiting Jump-Diffusion Process for Visual Tracking: A Reinforcement | learning | Approach |
| Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer | learning | |
| Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot | learning | |
| Revisiting Metric | learning | for SPD Matrix Based Visual Representation |
| Revisiting Multimodal Representation in Contrastive | learning | : From Patch and Token Embeddings to Finite Discrete Tokens |
| Revisiting Prototypical Network for Cross Domain Few-Shot | learning | |
| Revisiting Radial Distortion Rectification in Polar-Coordinates: A New and Efficient | learning | Perspective |
| Revisiting Self-Supervised Visual Representation | learning | |
| Revisiting Superpixels for Active | learning | in Semantic Segmentation with Realistic Annotation Costs |
| Revisiting the Critical Factors of Augmentation-Invariant Representation | learning | |
| Revisiting Unreasonable Effectiveness of Data in Deep | learning | Era |
| Revisiting Unsupervised Meta- | learning | via the Characteristics of Few-Shot Tasks |
| Revisiting Video Saliency Prediction in the Deep | learning | Era |
| Reviving Standard-Dynamic-Range Videos for High-Dynamic-Range Devices: A | learning | Paradigm With Hybrid Attention Mechanisms |
| Reward | learning | from Narrated Demonstrations |
| Reward-Adaptive Reinforcement | learning | : Dynamic Policy Gradient Optimization for Bipedal Locomotion |
| Reweighted Extreme | learning | Machine-Based Clutter Suppression and Range Compensation Algorithm for Non-Side-Looking Airborne Radar |
| RGB-D Face Recognition via Deep Complementary and Common Feature | learning | |
| RGB-D-based human motion recognition with deep | learning | : A survey |
| RGB-Multispectral Matching: Dataset, | learning | Methodology, Evaluation |
| RGB-T Image Saliency Detection via Collaborative Graph | learning | |
| RGB-T Saliency Detection via Low-Rank Tensor | learning | and Unified Collaborative Ranking |
| RGL-NET: A Recurrent Graph | learning | framework for Progressive Part Assembly |
| Rhythm-Aware Sequence-to-Sequence | learning | for Labanotation Generation With Gesture-Sensitive Graph Convolutional Encoding |
| Rice Crop Detection Using LSTM, Bi-LSTM, and Machine | learning | Models from Sentinel-1 Time Series |
| Rice Seedling Detection in UAV Images Using Transfer | learning | and Machine Learning |
| Rice Seedling Detection in UAV Images Using Transfer | learning | and Machine Learning |
| Rich heterogeneous information preserving network representation | learning | |
| RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep | learning | |
| Ridesharing car detection by transfer | learning | |
| Riemannian coding and dictionary | learning | : Kernels to the rescue |
| Riemannian dynamic generalized space quantization | learning | |
| Riemannian Manifold | learning | |
| Riemannian Manifold | learning | for Nonlinear Dimensionality Reduction |
| Riemannian Manifold | learning | , Clustering |
| Riemannian Metric | learning | based on Curvature Flow |
| Riemannian representation | learning | for multi-source domain adaptation |
| Riemannian SPD | learning | to represent and characterize fixational oculomotor Parkinsonian abnormalities |
| Riemannian Walk for Incremental | learning | : Understanding Forgetting and Intransigence |
| RIEVL: Recursive Induction | learning | in Hand Gesture Recognition |
| Right Spin: | learning | Object Motion from Rotation-Compensated Flow Fields, The |
| RigidFlow: Self-Supervised Scene Flow | learning | on Point Clouds by Local Rigidity Prior |
| RIM-Net: Recursive Implicit Fields for Unsupervised | learning | of Hierarchical Shape Structures |
| Ring-Regularized Cosine Similarity | learning | for Fine-Grained Face Verification |
| RIO: Rotation-equivariance supervised | learning | of robust inertial odometry |
| risk-averse | learning | machine via variance-dependent penalization, A |
| Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement | learning | |
| Risk-Aware Pairwise Rank | learning | Approach for Visual Discomfort Prediction of Stereoscopic 3D, A |
| RiSSNet: Contrastive | learning | Network with a Relaxed Identity Sampling Strategy for Remote Sensing Image Semantic Segmentation |
| Rival Penalized Competitive | learning | for Model-based Sequence Clustering |
| River Ice Segmentation With Deep | learning | |
| RL-AKF: An Adaptive Kalman Filter Navigation Algorithm Based on Reinforcement | learning | for Ground Vehicles |
| RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement | learning | |
| RL-CycleGAN: Reinforcement | learning | Aware Simulation-to-Real |
| RL-GAN-Net: A Reinforcement | learning | Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion |
| RLID-V: Reinforcement | learning | -Based Information Dissemination Policy Generation in VANETs |
| RLS-DTS: Reinforcement- | learning | Linguistic Steganalysis in Distribution-Transformed Scenario |
| RLSAC: Reinforcement | learning | enhanced Sample Consensus for End-to-End Robust Estimation |
| RlSnake: a Hybrid Reinforcement | learning | Approach for Road Detection |
| RLSS: A Deep Reinforcement | learning | Algorithm for Sequential Scene Generation |
| RLST: A Reinforcement | learning | Approach to Scene Text Detection Refinement |
| RLStereo: Real-Time Stereo Matching Based on Reinforcement | learning | |
| RM-Depth: Unsupervised | learning | of Recurrent Monocular Depth in Dynamic Scenes |
| RMAML: Riemannian meta- | learning | with orthogonality constraints |
| RNNP: A Robust Few-Shot | learning | Approach |
| Road detection via unsupervised feature | learning | |
| Road Extraction from High-Resolution Remote Sensing Imagery Using Deep | learning | |
| Road Marking Damage Detection Based on Deep | learning | for Infrastructure Evaluation in Emerging Autonomous Driving |
| Road Network Metric | learning | for Estimated Time of Arrival |
| Road Recognition From Remote Sensing Imagery Using Incremental | learning | |
| Road Scene Understanding by Occupancy Grid | learning | from Sparse Radar Clusters using Semantic Segmentation |
| Road surface condition classification using deep | learning | |
| Road Traffic Monitoring from UAV Images Using Deep | learning | Networks |
| Road Traffic: Deep Q- | learning | Agent Control Traffic lights in the intersection. |
| Road Type Classification of Mls Point Clouds Using Deep | learning | |
| Road-Side Individual Tree Segmentation from Urban MLS Point Clouds Using Metric | learning | |
| RoadNet: | learning | to Comprehensively Analyze Road Networks in Complex Urban Scenes From High-Resolution Remotely Sensed Images |
| Roadside Decision-Making Methodology Based on Deep Reinforcement | learning | to Simultaneously Improve the Safety and Efficiency of Merging Zone, A |
| ROAM: Random layer mixup for semi-supervised | learning | in medical images |
| Robot motion adaptation through user intervention and reinforcement | learning | |
| Robot Motion | learning | Method Using Broad Learning System Verified by Small-Scale Fish-Like Robot, A |
| Robot Motion | learning | Method Using Broad Learning System Verified by Small-Scale Fish-Like Robot, A |
| Robot Shaping: Developing Autonomous Agents Through | learning | |
| Robot visual servoing with iterative | learning | control |
| Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation | learning | |
| Robotic Object Perception Based on Multispectral Few-Shot Coupled | learning | |
| Robust 3D Face Shape Reconstruction from Single Images via Two-Fold Coupled Structure | learning | and Off-the-Shelf Landmark Detectors |
| Robust 3D human pose estimation via dual dictionaries | learning | |
| Robust 3D Semantic Segmentation Method Based on Multi-Modal Collaborative | learning | |
| Robust active | learning | for the diagnosis of parasites |
| Robust Active Safety Enhancement Strategy With | learning | Mechanism in Vehicular Networks, A |
| Robust Adaptive | learning | -Based Path Tracking Control of Autonomous Vehicles Under Uncertain Driving Environments |
| Robust Adaptive Sparse | learning | Method for Graph Clustering |
| Robust Adversarial | learning | For Semi-Supervised Semantic Segmentation |
| Robust age estimation model using group-aware contrastive | learning | |
| Robust and Accurate Object Detection via Adversarial | learning | |
| robust and clinically applicable deep | learning | model for early detection of Alzheimer's, A |
| Robust and discriminative distance for Multi-Instance | learning | |
| Robust and Discriminative Labeling for Multi-Label Active | learning | Based on Maximum Correntropy Criterion |
| Robust and Efficient Doubly Regularized Metric | learning | Approach, A |
| Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer | learning | |
| Robust and Responsive | learning | of Spatiotemporal Urban Traffic Flow Relationships |
| Robust and Scalable Graph-Based Semisupervised | learning | |
| Robust Angular Local Descriptor | learning | |
| Robust Asymmetric Loss for Multi-Label Long-Tailed | learning | |
| Robust Bayesian non-parametric dictionary | learning | with heterogeneous Gaussian noise |
| Robust Boosting for | learning | from Few Examples |
| Robust Classification with Convolutional Prototype | learning | |
| Robust Collaborative | learning | of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image |
| Robust Content-Adaptive Global Registration for Multimodal Retinal Images Using Weakly Supervised Deep- | learning | Framework |
| Robust Contrastive | learning | against Noisy Views |
| Robust Cross-Domain Pseudo-Labeling and Contrastive | learning | for Unsupervised Domain Adaptation NIR-VIS Face Recognition |
| Robust Cross-Modal Representation | learning | with Progressive Self-Distillation |
| Robust Data-Driven Framework for Driver Behavior Profiling Using Supervised Machine | learning | |
| Robust Decision Making for Autonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement | learning | Approach |
| robust deep | learning | approach for glasses detection in non-standard facial images, A |
| Robust Deep | learning | Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5, A |
| Robust Deep | learning | for Improved Classification of AD/MCI Patients |
| Robust Deep Multi-modal | learning | Based on Gated Information Fusion Network |
| Robust Dictionary | learning | by Error Source Decomposition |
| Robust Discriminative Metric | learning | for Image Representation |
| Robust discriminative nonnegative dictionary | learning | for occluded face recognition |
| Robust Discriminative Projective Dictionary Pair | learning | by Adaptive Representations |
| Robust Discriminative Subspace | learning | for Person Reidentification |
| Robust Distance Metric | learning | via Bayesian Inference |
| Robust Distracter-Resistive Tracker via | learning | a Multi-Component Discriminative Dictionary |
| Robust Dynamic Bus Control: a Distributional Multi-Agent Reinforcement | learning | Approach |
| robust elastic net approach for feature | learning | , A |
| Robust embedding regression for semi-supervised | learning | |
| Robust Environment-Aware Driver Profiling Framework Using Ensemble Supervised | learning | , A |
| Robust Equivariant Imaging: A fully unsupervised framework for | learning | to image from noisy and partial measurements |
| Robust experience replay sampling for multi-agent reinforcement | learning | |
| Robust Face Alignment via Deep Progressive Reinitialization and Adaptive Error-Driven | learning | |
| Robust Face Alignment via Inherent Relation | learning | and Uncertainty Estimation |
| Robust Face Detection via | learning | Small Faces on Hard Images |
| Robust Face Image Super-Resolution via Joint | learning | of Subdivided Contextual Model |
| Robust face recognition via occlusion dictionary | learning | |
| Robust face tracking using multiple appearance models and graph relational | learning | |
| Robust Facial Expression Recognition Based on Dual Branch Multi-feature | learning | |
| Robust Facial Feature Detection and Tracking for Head Pose Estimation in a Novel Multimodal Interface for Social Skills | learning | |
| Robust Facial Feature Localization using Data-Driven Semi-supervised | learning | Approach |
| Robust Feature | learning | Against Noisy Labels |
| Robust feature matching by | learning | descriptor covariance with viewpoint synthesis |
| Robust federated | learning | under statistical heterogeneity via Hessian spectral decomposition |
| Robust Federated | learning | with Noisy and Heterogeneous Clients |
| Robust fitting of multiple structures: The statistical | learning | approach |
| Robust frontal view search using extended manifold | learning | |
| Robust Gait Recognition by | learning | and Exploiting Sub-gait Characteristics |
| Robust Graph | learning | From Noisy Data |
| Robust hand tracking based on online | learning | and multi-cue flocks of features |
| robust handwritten recognition system for | learning | on different data restriction scenarios, A |
| Robust hashing for multi-view data: Jointly | learning | low-rank kernelized similarity consensus and hash functions |
| Robust Head Detection in Collaborative | learning | Environments Using AM-FM Representations |
| Robust Head Pose Estimation by Machine | learning | |
| Robust Head Pose Estimation Using Supervised Manifold | learning | |
| Robust Heterogeneous Federated | learning | under Data Corruption |
| Robust Hybrid Deep | learning | Model for Spatiotemporal Image Fusion, A |
| Robust Hyperspectral Unmixing with Practical | learning | -Based Hyperspectral Image Denoising |
| Robust Image Classification via Low-Rank Double Dictionary | learning | |
| Robust image clustering via context-aware contrastive graph | learning | |
| Robust image fusion with block sparse representation and online dictionary | learning | |
| Robust image recapture detection using a K-SVD | learning | approach to train dictionaries of edge profiles |
| robust incremental | learning | framework for accurate skin region segmentation in color images, A |
| Robust Jointly Sparse Regression with Generalized Orthogonal | learning | for Image Feature Selection |
| Robust Kalman Filters for Prediction, Recognition, and | learning | |
| Robust kernel-based | learning | for image-related problems |
| Robust kernelized graph-based | learning | |
| Robust Label Prediction via Label Propagation and Geodesic k-Nearest Neighbor in Online Semi-Supervised | learning | |
| Robust Label Rectifying With Consistent Contrastive- | learning | for Domain Adaptive Person Re-Identification |
| Robust landmark-free head pose estimation by | learning | to crop and background augmentation |
| Robust laplacian matrix | learning | for smooth graph signals |
| Robust | learning | Approach to Domain Adaptive Object Detection, A |
| robust | learning | control for SISO nonlinear systems with T-S fuzzy model: C02-robust control, A |
| Robust | learning | for Deep Monocular Depth Estimation |
| Robust | learning | Framework Using PSM and Ameliorated SVMs for Emotional Recognition, A |
| Robust | learning | from noisy web data for fine-Grained recognition |
| Robust | learning | From Noisy Web Images Via Data Purification for Fine-Grained Recognition |
| Robust | learning | from Normals for 3D Face Recognition |
| Robust | learning | from Ortho-Diffusion Decompositions |
| Robust | learning | in adaptive processing of data structures for tree representation based image classification |
| Robust | learning | of discriminative projection for multicategory classification on the Stiefel manifold |
| Robust | learning | Through Cross-Task Consistency |
| Robust | learning | -Based Camera Motion Characterization Scheme With Applications to Video Stabilization |
| Robust | learning | -Based Parsing and Annotation of Medical Radiographs |
| Robust | learning | -based super-resolution |
| Robust Localization of Retinal Lesions via Weakly-supervised | learning | |
| Robust Losses for | learning | Value Functions |
| Robust Machine | learning | Approach for Signal Separation and Classification, A |
| Robust Manifold | learning | via Conformity Pursuit |
| robust matching pursuit algorithm using information theoretic | learning | , A |
| Robust Meta-Representation | learning | via Global Label Inference and Classification |
| robust method for vector field | learning | with application to mismatch removing, A |
| Robust Model-Free Multi-Object Tracking with Online Kernelized Structural | learning | |
| Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement | learning | |
| Robust Motion Estimation Using Trajectory Spectrum | learning | : Application to Aortic and Mitral Valve Modeling from 4D TEE |
| Robust MSFM | learning | Network for Classification and Weakly Supervised Localization |
| Robust multi-agent reinforcement | learning | via Bayesian distributional value estimation |
| Robust multi-class transductive | learning | with graphs |
| Robust multi-feature visual tracking via multi-task kernel-based sparse | learning | |
| Robust Multi-Label Image Classification with Semi-Supervised | learning | and Active Learning |
| Robust Multi-Label Image Classification with Semi-Supervised | learning | and Active Learning |
| Robust Multi-Model Visual Tracking With Distractor-Aware Template-Coupled Correlation Filters Joint | learning | |
| Robust Multi-Speaker Tracking via Dictionary | learning | and Identity Modeling |
| Robust Multi-Task | learning | With Flexible Manifold Constraint |
| Robust multi-view | learning | via M-estimator joint sparse representation |
| Robust Multilinear Model | learning | Framework for 3D Faces, A |
| Robust Multimodal Image Registration Using Deep Recurrent Reinforcement | learning | |
| Robust Multiple Rank-k Bilinear Projections for Unsupervised | learning | |
| Robust multiple-instance | learning | ensembles using random subspace instance selection |
| Robust Multiple-Instance | learning | with Superbags |
| Robust Multispectral Pedestrian Detection via Uncertainty-aware Cross-modal | learning | |
| Robust multitask | learning | with three-dimensional empirical mode decomposition-based features for hyperspectral classification |
| Robust Mutual | learning | Hashing |
| Robust Nonlinear Dimensionality Reduction for Manifold | learning | |
| Robust Normalized Softmax Loss for Deep Metric | learning | -Based Characterization of Remote Sensing Images With Label Noise |
| Robust Nucleus Classification with Iterative Graph Representational | learning | |
| Robust object detection using marginal space | learning | and ranking-based multi-detector aggregation: Application to left ventricle detection in 2D MRI images |
| Robust object representation by boosting-like deep | learning | architecture |
| Robust object tracking by interleaving variable rate color particle filtering and deep | learning | |
| Robust object tracking using semi-supervised appearance dictionary | learning | |
| Robust object tracking via online | learning | of adaptive appearance manifold |
| Robust object tracking with active context | learning | |
| Robust Object Tracking with Online Multi-Lifespan Dictionary | learning | |
| Robust Object Tracking with Online Multiple Instance | learning | |
| Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance | learning | |
| Robust online multi-target visual tracking using a HISP filter with discriminative deep appearance | learning | |
| Robust Orthonormal Subspace | learning | : Efficient Recovery of Corrupted Low-Rank Matrices |
| robust photo-based PM2.5 monitoring method by combining linear and non-linear | learning | , A |
| Robust Physical-World Attacks on Deep | learning | Visual Classification |
| Robust Projective Low-Rank and Sparse Representation by Robust Dictionary | learning | |
| Robust Re-identification of Manta Rays from Natural Markings by | learning | Pose Invariant Embeddings |
| Robust re-identification using randomness and statistical | learning | : Quo vadis |
| Robust Recursive | learning | for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds |
| Robust Representation | learning | with Feedback for Single Image Deraining |
| Robust RGB-D Hand Tracking Using Deep | learning | Priors |
| Robust Road Detection and Tracking in Challenging Scenarios Based on Markov Random Fields With Unsupervised | learning | |
| Robust Road Marking Detection and Recognition Using Density-Based Grouping and Machine | learning | Techniques |
| Robust Scene Categorization by | learning | Image Statistics in Context |
| Robust Scene Text Detection for Multi-script Languages Using Deep | learning | |
| Robust Self-Supervised | learning | of Deterministic Errors in Single-Plane (Monoplanar) and Dual-Plane (Biplanar) X-Ray Fluoroscopy |
| Robust Semi-Supervised Classification for Noisy Labels Based on Self-Paced | learning | |
| robust semi-supervised | learning | approach via mixture of label information, A |
| Robust semi-supervised multi-view graph | learning | with sharable and individual structure |
| Robust shape analysis using multistrategy | learning | |
| Robust Shape-Aware Rib Fracture Detection and Segmentation Framework With Contrastive | learning | , A |
| Robust shared feature | learning | for script and handwritten/machine-printed identification |
| Robust Small-scale Pedestrian Detection with Cued Recall via Memory | learning | |
| Robust Sparse | learning | Based on Kernel Non-Second Order Minimization |
| Robust Stereo Data Cost With a | learning | Strategy |
| Robust Structured Dictionary | learning | For Block Sparse Representations Using a-Divergence |
| Robust Structured Subspace | learning | for Data Representation |
| Robust Subspace | learning | and Applications in Computer Vision |
| Robust Superpixel Tracking with Weighted Multiple-Instance | learning | |
| Robust supervised classification with mixture models: | learning | from data with uncertain labels |
| Robust Teacher: Self-correcting pseudo-label-guided semi-supervised | learning | for object detection |
| Robust tracking of articulated human movements through Component-Based Multiple Instance | learning | with particle filtering |
| Robust Tracking via | learning | Model Update With Unsupervised Anomaly Detection Philosophy |
| Robust Tracking via Spatio-Temporally Weighted Multiple Instance | learning | |
| Robust tracking via weighted spatio-temporal context | learning | |
| Robust Tracking with Weighted Online Structured | learning | |
| Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution | learning | |
| Robust Traffic Speed Inference With Ensemble | learning | |
| Robust Transfer Metric | learning | for Image Classification |
| Robust Transferable Subspace | learning | for Cross-Corpus Facial Expression Recognition |
| Robust unsupervised feature selection by nonnegative sparse subspace | learning | |
| Robust unsupervised feature selection via data relationship | learning | |
| Robust unsupervised small area change detection from SAR imagery using deep | learning | |
| Robust Vascular Segmentation for Raw Complex Images of Laser Speckle Contrast Based on Weakly Supervised | learning | |
| Robust Vehicle Detection for Tracking in Highway Surveillance Videos Using Unsupervised | learning | |
| Robust Visual Knowledge Transfer via Extreme | learning | Machine-Based Domain Adaptation |
| Robust Visual Tracking Based on Incremental Tensor Subspace | learning | |
| Robust Visual Tracking by Integrating Multiple Cues Based on Co-Inference | learning | |
| Robust Visual Tracking Using Structure-Preserving Sparse | learning | |
| Robust Visual Tracking Via Consistent Low-Rank Sparse | learning | |
| Robust Visual Tracking via Multi-Scale Spatio-Temporal Context | learning | |
| Robust Visual Tracking Via Multi-Task Sparse | learning | |
| Robust Visual Tracking via Online Discriminative and Low-Rank Dictionary | learning | |
| Robust visual tracking via online multiple instance | learning | with Fisher information |
| Robust Visual Tracking via Rank-Constrained Sparse | learning | |
| Robust Visual Tracking via Smooth Manifold Kernel Sparse | learning | |
| Robust Visual Tracking via Sparsity-Induced Subspace | learning | |
| Robust Visual Tracking via Structured Multi-Task Sparse | learning | |
| Robust visual tracking via transfer | learning | |
| Robust visual tracking with discriminative sparse | learning | |
| Robust Visual Tracking With Multitask Joint Dictionary | learning | |
| Robust, discriminative and comprehensive dictionary | learning | for face recognition |
| Robust- | learning | fuzzy c-means clustering algorithm with unknown number of clusters |
| Robustness Analysis of Discrete State-Based Reinforcement | learning | Models in Traffic Signal Control |
| Robustness Analysis of the Neural Gas | learning | Algorithm |
| Robustness Meets Low-Rankness: Unified Entropy and Tensor | learning | for Multi-View Subspace Clustering |
| Robustness of 3D Deep | learning | in an Adversarial Setting |
| Robustness of Deep | learning | Models in Dermatological Evaluation: A Critical Assessment |
| Robustness of Deep | learning | -Based Specific Emitter Identification under Adversarial Attacks |
| Robustness through prior knowledge: using explanation-based | learning | to distinguish handwritten Chinese characters |
| Robustness with Query-efficient Adversarial Attack using Reinforcement | learning | |
| ROC analysis in ordinal regression | learning | |
| Rocky Shoreline Extraction Using a Deep | learning | Model and Object-based Image Analysis |
| ROI Extraction Based on Multiview | learning | and Attention Mechanism for Unbalanced Remote Sensing Data Set |
| Role of Machine | learning | in Game Development Domain: A Review of Current Trends and Future Directions, The |
| Role of Manifold | learning | in Human Motion Analysis, The |
| Role of Preprocessing for Word Representation | learning | in Affective Tasks, The |
| Role of Synchronic Causal Conditions in Visual Knowledge | learning | , The |
| RONO: Robust Discriminative | learning | with Noisy Labels for 2D-3D Cross-Modal Retrieval |
| Roof Type Selection Based On Patch-based Classification Using Deep | learning | for High Resolution Satellite Imagery |
| Roof-GAN: | learning | to Generate Roof Geometry and Relations for Residential Houses |
| Room-based Energy Demand Classification of BIM Data Using Graph Supervised | learning | |
| Root identification in minirhizotron imagery with multiple instance | learning | |
| Root Sparse Bayesian | learning | for Off-Grid DOA Estimation |
| ROSS: Robust | learning | of One-Shot 3D Shape Segmentation |
| Rotated face recognition by manifold | learning | with auto-associative neural network |
| Rotation Awareness Based Self-Supervised | learning | for SAR Target Recognition With Limited Training Samples |
| Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric | learning | |
| Rotation Invariant Convolutions for 3D Point Clouds Deep | learning | |
| Rotation-based spatial-temporal feature | learning | from skeleton sequences for action recognition |
| Rotation-Covariant Texture | learning | Using Steerable Riesz Wavelets |
| Rotation-Invariant Feature | learning | in VHR Optical Remote Sensing Images via Nested Siamese Structure With Double Center Loss |
| Rotation-Oriented Collaborative Self-Supervised | learning | for Retinal Disease Diagnosis |
| Rotational Adjoint Methods for | learning | -Free 3D Human Pose Estimation from IMU Data |
| Rotational Invariant Discriminant Subspace | learning | For Image Classification |
| RotPredictor: Unsupervised Canonical Viewpoint | learning | for Point Cloud Classification |
| RoutedFusion: | learning | Real-Time Depth Map Fusion |
| Rove-tree-11: The Not-so-wild Rover a Hierarchically Structured Image Dataset for Deep Metric | learning | Research |
| RPD-GAN: | learning | to Draw Realistic Paintings With Generative Adversarial Network |
| RS-MetaNet: Deep Metametric | learning | for Few-Shot Remote Sensing Scene Classification |
| RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous | learning | |
| RSCFed: Random Sampling Consensus Federated Semi-supervised | learning | |
| RSDNet: | learning | to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations |
| RSG: A Simple but Effective Module for | learning | Imbalanced Datasets |
| RSMT: A Remote Sensing Image-to-Map Translation Model via Adversarial Deep Transfer | learning | |
| RSSI Map-Based Trajectory Design for UGV Against Malicious Radio Source: A Reinforcement | learning | Approach |
| RTLNet: Recursive Triple-Path | learning | Network for Scene Parsing of RGB-D Images |
| Rule prepending and post-pruning approach to incremental | learning | of decision lists |
| Rule-Based | learning | for More Accurate ECG Analysis |
| Rule-constrained reinforcement | learning | control for autonomous vehicle left turn at unsignalized intersection |
| Russian Doll Network: | learning | Nested Networks for Sample-Adaptive Dynamic Inference |
| Rvenet: A Large Echocardiographic Dataset for the Deep | learning | -based Assessment of Right Ventricular Function |
| RVSL: Robust Vehicle Similarity | learning | in Real Hazy Scenes Based on Semi-supervised Learning |
| RVSL: Robust Vehicle Similarity | learning | in Real Hazy Scenes Based on Semi-supervised Learning |
| RWBD: | learning | Robust Weighted Binary Descriptor for Image Matching |
| S 2 Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-supervised | learning | |
| S2-LOR: Supervised Stream | learning | for Object Recognition |
| S2D2Net: An Improved Approach for Robust Steel Surface Defects Diagnosis With Small Sample | learning | |
| S2DNet: | learning | Image Features for Accurate Sparse-to-Dense Matching |
| S2R-DepthNet: | learning | a Generalizable Depth-specific Structural Representation |
| S3-MKL: Scalable Semi-Supervised Multiple Kernel | learning | for Real-World Image Applications |
| S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental | learning | |
| S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical | learning | |
| S3L: Spectrum Transformer for Self-Supervised | learning | in Hyperspectral Image Classification |
| S3Reg: Superfast Spherical Surface Registration Based on Deep | learning | |
| S3U-PVNet: Arbitrary-scale point cloud upsampling via Point-Voxel Network based on Siamese Self-Supervised | learning | |
| S4L: Self-Supervised Semi-Supervised | learning | |
| SA-LuT-Nets: | learning | Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation |
| SaaS: Speed as a Supervisor for Semi-supervised | learning | |
| SaberNet: Self-attention based effective relation network for few-shot | learning | |
| SadTalker: | learning | Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation |
| SAF-Net: A spatio-temporal deep | learning | method for typhoon intensity prediction |
| Safe incomplete label distribution | learning | |
| Safe Reinforcement | learning | for Autonomous Vehicle Using Monte Carlo Tree Search |
| Safe Reinforcement | learning | for Single Train Trajectory Optimization via Shield SARSA |
| Safe RuleFit: | learning | Optimal Sparse Rule Model by Meta Safe Screening |
| Safe, | learning | -based MPC for highway driving under lane-change uncertainty: A distributionally robust approach |
| Safe-State Enhancement Method for Autonomous Driving via Direct Hierarchical Reinforcement | learning | |
| Safe-Student for Safe Deep Semi-Supervised | learning | with Unseen-Class Unlabeled Data |
| SafeNet: SwArm for Earthquake Perturbations Identification Using Deep | learning | Networks |
| SafePredict: A Meta-Algorithm for Machine | learning | That Uses Refusals to Guarantee Correctness |
| SafeSO: Interpretable and Explainable Deep | learning | Approach for Seat Occupancy Classification in Vehicle Interior |
| Safety in numbers: | learning | categories from few examples with multi model knowledge transfer |
| SafeUAV: | learning | to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data |
| SAFL-Net: Semantic-Agnostic Feature | learning | Network with Auxiliary Plugins for Image Manipulation Detection |
| SAIL: A Deep- | learning | -Based System for Automatic Gait Assessment From TUG Videos |
| Sailboat Detection Based on Automated Search Attention Mechanism and Deep | learning | Models |
| SAILenv: | learning | in Virtual Visual Environments Made Simple |
| SAL: Sign Agnostic | learning | of Shapes From Raw Data |
| SALAD: Self-Assessment | learning | for Action Detection |
| SALE: Self-adaptive LSH encoding for multi-instance | learning | |
| SalFBNet: | learning | pseudo-saliency distribution via feedback convolutional networks |
| SALIC: Social Active | learning | for Image Classification |
| Saliency Detection by Fully | learning | a Continuous Conditional Random Field |
| Saliency detection by multi-context deep | learning | |
| Saliency detection using adversarial | learning | networks |
| Saliency detection via background and foreground null space | learning | |
| Saliency detection via coarse-to-fine diffusion-based compactness with weighted | learning | affinity matrix |
| Saliency Detection via Topological Feature Modulated Deep | learning | |
| Saliency From Growing Neural Gas: | learning | Pre-Attentional Structures for a Flexible Attention System |
| Saliency Guided Dictionary | learning | for Weakly-Supervised Image Parsing |
| Saliency Guided Experience Packing for Replay in Continual | learning | |
| Saliency Inside: | learning | Attentive CNNs for Content-Based Image Retrieval |
| Saliency Prediction in the Deep | learning | Era: Successes and Limitations |
| Saliency Prediction on Omnidirectional Image With Generative Adversarial Imitation | learning | |
| Saliency Segmentation based on | learning | and Graph Cut Refinement |
| Saliency-Guided Unsupervised Feature | learning | for Scene Classification |
| Salient Contour-Aware Based Twice | learning | Strategy for Saliency Detection |
| Salient Object Detection Based on Progressively Supervised | learning | for Remote Sensing Images |
| Salient object detection by multi-level features | learning | determined sparse reconstruction |
| Salient Object Detection in the Deep | learning | Era: An In-Depth Survey |
| Salient Object Detection Using Cascaded Convolutional Neural Networks and Adversarial | learning | |
| Salient object detection via bootstrap | learning | |
| Salient Object Detection via Integrity | learning | |
| Salient Object Detection via Multiple Instance Joint Re- | learning | |
| Salient Object Detection via Multiple Instance | learning | |
| Salient object detection via point-to-set metric | learning | |
| Salient Object Detection With Edge-Guided | learning | and Specific Aggregation |
| Salient Object Detection with Higher Order Potentials and | learning | Affinity |
| Salient Region Detection via Discriminative Dictionary | learning | and Joint Bayesian Inference |
| Salient Subsequence | learning | for Time Series Clustering |
| SALSAS: Sub-linear active | learning | strategy with approximate k-NN search |
| Sam's Net: A Self-Augmented Multistage Deep- | learning | Network for End-to-End Reconstruction of Limited Angle CT |
| SAM-GAN: Supervised | learning | -Based Aerial Image-to-Map Translation via Generative Adversarial Networks |
| SAM: Self-Supervised | learning | of Pixel-Wise Anatomical Embeddings in Radiological Images |
| Same Features, Different Day: Weakly Supervised Feature | learning | for Seasonal Invariance |
| Sample diversity selection strategy based on label distribution morphology for active label distribution | learning | |
| Sample Selection Approach with Number of False Predictions for | learning | with Noisy Labels |
| Sample-Centric Feature Generation for Semi-Supervised Few-Shot | learning | |
| Sample-Efficient Neural Architecture Search by | learning | Actions for Monte Carlo Tree Search |
| Sample-free white-box out-of-distribution detection for deep | learning | |
| Sample-Specific SVM | learning | for Person Re-identification |
| Sample-wise Label Confidence Incorporation for | learning | with Noisy Labels |
| Sampling and Ontologically Pooling Web Images for Visual Concept | learning | |
| Sampling Matters in Deep Embedding | learning | |
| Sampling-Resampling Based Bayesian | learning | Approach for Object Tracking, A |
| SAN: | learning | Relationship Between Convolutional Features for Multi-scale Object Detection |
| SAPENet: Self-Attention based Prototype Enhancement Network for Few-shot | learning | |
| SAR and Optical Data Applied to Early-Season Mapping of Integrated Crop-Livestock Systems Using Deep and Machine | learning | Algorithms |
| SAR and Optical Image Registration Based on Deep | learning | with Co-Attention Matching Module |
| SAR Automatic Target Recognition Based on Multiview Deep | learning | Framework |
| SAR Dataset of Ship Detection for Deep | learning | under Complex Backgrounds, A |
| SAR Ground Moving Target Imaging Algorithm Based on Parametric and Dynamic Sparse Bayesian | learning | |
| SAR Image Change Detection Based on Correlation Kernel and Multistage Extreme | learning | Machine |
| SAR Image Classification Using Fully Connected Conditional Random Fields Combined with Deep | learning | and Superpixel Boundary Constraint |
| SAR Image Classification Using Greedy Hierarchical | learning | With Unsupervised Stacked CAEs |
| SAR Image Classification Using Markov Random Fields with Deep | learning | |
| SAR Image Despeckling Based on Block-Matching and Noise-Referenced Deep | learning | Method |
| SAR Image Despeckling by Noisy Reference-Based Deep | learning | Method |
| SAR image processing using probabilistic Winner-take-all | learning | and artificial neural networks |
| SAR Ship-Iceberg Discrimination in Arctic Conditions Using Deep | learning | |
| SAR Target Recognition via Supervised Discriminative Dictionary | learning | and Sparse Representation of the SAR-HOG Feature |
| Sar2color: | learning | Imaging Characteristics of SAR Images for SAR-to-Optical Transformation |
| SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised | learning | |
| Sargassum Detection Using Machine | learning | Models: A Case Study with the First 6 Months of GOCI-II Imagery |
| Sarod: Efficient End-To-End Object Detection on SAR Images With Reinforcement | learning | |
| SASL: Saliency-Adaptive Sparsity | learning | for Neural Network Acceleration |
| Sat-Mesh: | learning | Neural Implicit Surfaces for Multi-View Satellite Reconstruction |
| Sat-NeRF: | learning | Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Cameras |
| Sat2Density: Faithful Density | learning | from Satellite-Ground Image Pairs |
| Satellite and Machine | learning | Monitoring of Optically Inactive Water Quality Variability in a Tropical River |
| Satellite Based Education And Training In Remote Sensing And Geo-information: An E- | learning | Approach To Meet The Growing Demands In India |
| Satellite Derived Bathymetry Using Machine | learning | and Multi-Temporal Satellite Images |
| Satellite Fog Detection at Dawn and Dusk Based on the Deep | learning | Algorithm under Terrain-Restriction |
| Satellite Image Classification Using a Hierarchical Ensemble | learning | and Correlation Coefficient-Based Gravitational Search Algorithm |
| Satellite Imagery Classification Using Shallow and Deep | learning | Approaches |
| Satellite Imagery-Based Cloud Classification Using Deep | learning | |
| Satellite Remote Sensing Identification of Discolored Standing Trees for Pine Wilt Disease Based on Semi-Supervised Deep | learning | |
| Satellite Retrieval of Air Pollution Changes in Central and Eastern China during COVID-19 Lockdown Based on a Machine | learning | Model |
| Satellite-Based Spatio-Temporal Machine | learning | Model to Reconstruct Daily PM2.5 Concentrations across Great Britain, A |
| SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental | learning | |
| SC-RPN: A Strong Correlation | learning | Framework for Region Proposal |
| ScaIL: Classifier Weights Scaling for Class Incremental | learning | |
| Scalable Active | learning | for Multiclass Image Classification |
| Scalable active | learning | strategy for object category retrieval |
| Scalable Algorithm for | learning | a Mahalanobis Distance Metric, A |
| Scalable and Accurate Self-supervised Multimodal Representation | learning | without Aligned Video and Text Data |
| Scalable and Practical Natural Gradient for Large-Scale Deep | learning | |
| Scalable Bag of Subpaths Kernel for | learning | on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification |
| Scalable diagnosis in IP networks using path-based measurement and inference: A | learning | framework |
| Scalable Discrete Supervised Multimedia Hash | learning | With Clustering |
| scalable dual approach to semidefinite metric | learning | , A |
| Scalable e- | learning | Multimedia Adaptation Architecture |
| Scalable Feedback of Spectral Projection for Subspace | learning | |
| Scalable greedy algorithms for transfer | learning | |
| Scalable image quality assessment with 2D mel-cepstrum and machine | learning | approach |
| Scalable | learning | for bridging the species gap in image-based plant phenotyping |
| Scalable | learning | for restricted Boltzmann machines |
| Scalable | learning | Framework for Traversable Region Detection Fusing With Appearance and Geometrical Information |
| Scalable | learning | to Optimize: A Learned Optimizer Can Train Big Models |
| Scalable lifelong reinforcement | learning | |
| Scalable logo detection by self co- | learning | |
| Scalable Machine | learning | Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data, A |
| Scalable Metric | learning | via Weighted Approximate Rank Component Analysis |
| scalable metric | learning | -based voting method for expression recognition, A |
| Scalable Mobile Video Retrieval with Sparse Projection | learning | and Pseudo Label Mining |
| scalable model for knowledge sharing based supervised | learning | using AdaBoost, A |
| Scalable Multitask Representation | learning | for Scene Classification |
| Scalable One-Pass Self-Representation | learning | for Hyperspectral Band Selection |
| Scalable Penalized Regression for Noise Detection in | learning | with Noisy Labels |
| Scalable Prototype | learning | Using GPUs |
| Scalable Reinforcement | learning | Algorithm for Scheduling Railway Lines, A |
| Scalable Representation and | learning | for 3D Object Recognition Using Shared Feature-Based View Clustering |
| Scalable Representation | learning | for Long-Term Augmented Reality-Based Information Delivery in Collaborative Human-Robot Perception |
| Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation | learning | |
| Scalable semi-supervised clustering by spectral kernel | learning | |
| Scalable Semi-Supervised | learning | by Graph Construction with Approximate Anchors Embedding |
| Scalable Similarity | learning | Using Large Margin Neighborhood Embedding |
| Scalable Structured Compressive Video Sampling With Hierarchical Subspace | learning | |
| Scalable Zero-Shot | learning | via Binary Visual-Semantic Embeddings |
| Scale Adaptive Dictionary | learning | |
| Scale and Orientation Aware EPI-Patch | learning | for Light Field Depth Estimation |
| Scale and rotation invariant color features for weakly-supervised object | learning | in 3D space |
| Scale Conversion Model Based on Deep | learning | of UAV Images, A |
| Scale-Adaptive Neural Dense Features: | learning | via Hierarchical Context Aggregation |
| Scale-Aware Spatio-Temporal Relation | learning | for Video Anomaly Detection |
| Scale-Free Single Image Deraining Via Visibility-Enhanced Recurrent Wavelet | learning | |
| Scale-invariant batch-adaptive residual | learning | for person re-identification |
| Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation | learning | |
| Scale-Residual | learning | Network for Scene Text Detection |
| SCALE: Online Self-Supervised Lifelong | learning | without Prior Knowledge |
| ScaleFL: Resource-Adaptive Federated | learning | with Heterogeneous Clients |
| Scaling and Benchmarking Self-Supervised Visual Representation | learning | |
| Scaling digital screen reading with one-shot | learning | and re-identification |
| Scaling Human-Object Interaction Recognition Through Zero-Shot | learning | |
| Scaling Up a Metric | learning | Algorithm for Image Recognition and Representation |
| Scaling Up Spike-and-Slab Models for Unsupervised Feature | learning | |
| Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised | learning | |
| Scalp EEG-Based Automatic Detection of Epileptiform Events via Graph Convolutional Network and Bi-Directional LSTM Co-Embedded Broad | learning | System |
| SCALPEL: Segmentation Cascades with Localized Priors and Efficient | learning | |
| Scan2CAD: | learning | CAD Model Alignment in RGB-D Scans |
| Scan: | learning | to Classify Images Without Labels |
| SCANet: A Unified Semi-Supervised | learning | Framework for Vessel Segmentation |
| SCANimate: Weakly Supervised | learning | of Skinned Clothed Avatar Networks |
| ScanMix: | learning | from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning |
| ScanMix: | learning | from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning |
| Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep | learning | |
| ScatSimCLR: Self-Supervised Contrastive | learning | with Pretext Task Regularization for Small-Scale Datasets |
| Scatter matrix decomposition for jointly sparse | learning | |
| Scattering Networks for Hybrid Representation | learning | |
| Scene analysis by mid-level attribute | learning | using 2D LSTM networks and an application to web-image tagging |
| Scene Categorization by Deeply | learning | Gaze Behavior in a Semisupervised Context |
| Scene Character Recognition Using Coupled Spatial | learning | |
| Scene Consistency Representation | learning | for Video Scene Segmentation |
| Scene Flow from Point Clouds with or without | learning | |
| Scene Graph Contrastive | learning | for Embodied Navigation |
| Scene Graph Representation and | learning | |
| Scene Recognition with Naive Bayes Non-linear | learning | |
| Scene Recomposition by | learning | -Based ICP |
| Scene Representation | learning | from Videos Using Self-Supervised and Weakly-Supervised Techniques |
| Scene Segmentation Driven by Deep | learning | and Surface Fitting |
| Scene text detection and recognition with advances in deep | learning | : A survey |
| Scene Text Detection and Recognition: The Deep | learning | Era |
| Scene Text Detection Using Superpixel-Based Stroke Feature Transform and Deep | learning | Based Region Classification |
| Scene text recognition by | learning | co-occurrence of strokes based on spatiality embedded dictionary |
| Scene Text Retrieval via Joint Text Detection and Similarity | learning | |
| Scene Understanding in Deep | learning | -Based End-to-End Controllers for Autonomous Vehicles |
| Scene-Adaptive Human Detection with Incremental Active | learning | |
| Scene-Adaptive Video Frame Interpolation via Meta- | learning | |
| Scene-Aware Label Graph | learning | for Multi-Label Image Classification |
| Scene-Text Synthesis Engine Achieved Through | learning | From Decomposed Real-World Data, A |
| SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial | learning | |
| SceneGen: | learning | to Generate Realistic Traffic Scenes |
| SceneNet: Remote sensing scene classification deep | learning | network using multi-objective neural evolution architecture search |
| SceneSqueezer: | learning | to Compress Scene for Camera Relocalization |
| Scenimefy: | learning | to Craft Anime Scene via Semi-Supervised Image-to-Image Translation |
| SCF-Net: | learning | Spatial Contextual Features for Large-Scale Point Cloud Segmentation |
| Scheduled sampling for one-shot | learning | via matching network |
| Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q- | learning | Based Local Search |
| Scheduling the Operation of a Connected Vehicular Network Using Deep Reinforcement | learning | |
| SCNet: | learning | Semantic Correspondence |
| SCOB: Universal Text Understanding via Character-wise Supervised Contrastive | learning | with Online Text Rendering for Bridging Domain Gap |
| SCONE-GAN: Semantic Contrastive | learning | -based Generative Adversarial Network for an end-to-end image translation |
| Score thresholding for accurate instance classification in multiple instance | learning | |
| Score to Learn: A Comparative Analysis of Scoring Functions for Active | learning | in Robotics |
| ScoreNet: | learning | Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification |
| ScoringNet: | learning | Key Fragment for Action Quality Assessment with Ranking Loss in Skilled Sports |
| Scratch Each Other's Back: Incomplete Multi-modal Brain Tumor Segmentation Via Category Aware Group Self-Support | learning | |
| Scribble-Based Weakly Supervised Deep | learning | for Road Surface Extraction From Remote Sensing Images |
| ScrollNet: Dynamic Weight Importance for Continual | learning | |
| SCS-Co: Self-Consistent Style Contrastive | learning | for Image Harmonization |
| scSE-LinkNet Deep | learning | Model for Daytime Sea Fog Detection, A |
| SCV-Stereo: | learning | Stereo Matching from a Sparse Cost Volume |
| SCVRL: Shuffled Contrastive Video Representation | learning | |
| SDFL-FC: Semisupervised Deep Feature | learning | With Feature Consistency for Hyperspectral Image Classification |
| SDL: Saliency-Based Dictionary | learning | Framework for Image Similarity |
| SDL: Spectrum-Disentangled Representation | learning | for Visible-Infrared Person Re-Identification |
| Sea Ice Image Classification Based on Heterogeneous Data Fusion and Deep | learning | |
| Sea Level Fusion of Satellite Altimetry and Tide Gauge Data by Deep | learning | in the Mediterranean Sea |
| Sea Surface Salinity Inversion Model for Changjiang Estuary and Adjoining Sea Area with SMAP and MODIS Data Based on Machine | learning | and Preliminary Application |
| Search-Based Depth Estimation via Coupled Dictionary | learning | with Large-Margin Structure Inference |
| Searching and | learning | Discriminative Regions for Fine-Grained Image Retrieval and Classification |
| Searching Dense Point Correspondences via Permutation Matrix | learning | |
| Searching for Robustness: Loss | learning | for Noisy Classification Tasks |
| SECAD-Net: Self-Supervised CAD Reconstruction by | learning | Sketch-Extrude Operations |
| second order cone programming approach for semi-supervised | learning | , A |
| Second-Order Approach to | learning | with Instance-Dependent Label Noise, A |
| Secondary Path-Decoupled Active Noise Control Algorithm Based on Deep | learning | , A |
| Secondary Precipitation Estimate Merging Using Machine | learning | : Development and Evaluation over Krishna River Basin, India |
| Secret Image Restoration With Convex Hull and Elite Opposition-Based | learning | Strategy |
| secure model on Advanced Fake Image-Feature Network (AFIFN) based on deep | learning | for image forgery detection, A |
| Secure Transmission in Cellular V2X Communications Using Deep Q- | learning | |
| SecureDL: A privacy preserving deep | learning | model for image recognition over cloud |
| Securing IoT Based Maritime Transportation System Through Entropy-Based Dual-Stack Machine | learning | Framework |
| Security and privacy enhanced smartphone-based gait authentication with random representation | learning | and digital lockers |
| Security Consideration for Deep | learning | -Based Image Forensics |
| SeDAR: Reading Floorplans Like a Human: Using Deep | learning | to Enable Human-Inspired Localisation |
| Sediment Classification of Acoustic Backscatter Image Based on Stacked Denoising Autoencoder and Modified Extreme | learning | Machine |
| SEE BEYOND: Enhancement: Strategies in Teaching | learning | as a Stimulus to Creativity in Fashion Design |
| See the forest and the trees: Effective machine and deep | learning | algorithms for wood filtering and tree species classification from terrestrial laser scanning |
| SeeABLE: Soft Discrepancies and Bounded Contrastive | learning | for Exposing Deepfakes |
| Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation | learning | |
| SeedNet: Automatic Seed Generation with Deep Reinforcement | learning | for Robust Interactive Segmentation |
| Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement | learning | |
| Seeing By Haptic Glance: Reinforcement | learning | Based 3d Object Recognition |
| Seeing Deeply and Bidirectionally: A Deep | learning | Approach for Single Image Reflection Removal |
| Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance | learning | |
| Seeing Objects in Dark with Continual Contrastive | learning | |
| Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation | learning | |
| Seeing the Un-scene: | learning | Amodal Semantic Maps for Room Navigation |
| Seeing Through Darkness: Visual Localization at Night via Weakly Supervised | learning | of Domain Invariant Features |
| Seeing What is Not There: | learning | Context to Determine Where Objects are Missing |
| Seeing What You Miss: Vision-Language Pre-training with Semantic Completion | learning | |
| Seek-and-Hide: Adversarial Steganography via Deep Reinforcement | learning | |
| Seeking multi-thresholds for image segmentation with | learning | Automata |
| Seeking Subjectivity in Visual Emotion Distribution | learning | |
| Seeking the Shape of Sound: An Adaptive Framework for | learning | Voice-Face Association |
| SeeTek: Very Large-Scale Open-set Logo Recognition with Text-Aware Metric | learning | |
| SEFD: | learning | to Distill Complex Pose and Occlusion |
| SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot | learning | |
| SegDetector: A Deep | learning | Model for Detecting Small and Overlapping Damaged Buildings in Satellite Images |
| SegFlow: Joint | learning | for Video Object Segmentation and Optical Flow |
| SegLoc: | learning | Segmentation-Based Representations for Privacy-Preserving Visual Localization |
| Segment 2D and 3D Filaments by | learning | Structured and Contextual Features |
| Segment-wise online | learning | based on greedy algorithm for real-time multi-target tracking |
| Segmentation According to Natural Examples: | learning | Static Segmentation from Motion Segmentation |
| Segmentation and Connectivity Reconstruction of Urban Rivers from Sentinel-2 Multi-Spectral Imagery by the WaterSCNet Deep | learning | Model |
| Segmentation and localisation of whole slide images using unsupervised | learning | |
| Segmentation approach by | learning | : different image applications |
| Segmentation Informed by Manifold | learning | |
| Segmentation of Cell Nuclei in Fluorescence Microscopy Images Using Deep | learning | |
| Segmentation of Lesion in Dermoscopy Images Using Dense-Residual Network with Adversarial | learning | |
| Segmentation of lung airways based on deep | learning | methods |
| Segmentation of medical images for the extraction of brain tumors: A comparative study between the Hidden Markov and Deep | learning | approaches |
| Segmentation of Pigment Signs in Fundus Images for Retinitis Pigmentosa Analysis by Using Deep | learning | |
| Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep | learning | Architectures and Derivative-Based Search Methods, The |
| Segmentation of Tracking Sequences Using Dynamically Updated Adaptive | learning | |
| Segmentation of turbulent computational fluid dynamics simulations with unsupervised ensemble | learning | |
| Segmentation techniques for early cancer detection in red blood cells with deep | learning | -based classifier'a comparative approach |
| Segmentation-Based Multitask | learning | Approach for Isolating Switch State Recognition in High-Speed Railway Traction Substation, A |
| Segmentation-based recognition system for handwritten Bangla and Devanagari words using conventional classification and transfer | learning | |
| Segmenting across places: The need for fair transfer | learning | with satellite imagery |
| Segmenting Cardiopulmonary Images Using Manifold | learning | with Level Sets |
| Segmenting Purple Rapeseed Leaves in the Field from UAV RGB Imagery Using Deep | learning | as an Auxiliary Means for Nitrogen Stress Detection |
| Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary | learning | |
| SegPrompt: Boosting Open-world Segmentation via Category-level Prompt | learning | |
| SegRCDB: Semantic Segmentation via Formula-Driven Supervised | learning | |
| Seismic Dip Estimation With a Domain Knowledge Constrained Transfer | learning | Approach |
| Seismic Noise Attenuation Using Unsupervised Sparse Feature | learning | |
| Seismic Shift in Scalable Acquisition Demands New Processing: Fiber-Optic Seismic Signal Retrieval in Urban Areas with Unsupervised | learning | for Coherent Noise Removal, A |
| Select to Better Learn: Fast and Accurate Deep | learning | Using Data Selection From Nonlinear Manifolds |
| Select, Label, and Mix: | learning | Discriminative Invariant Feature Representations for Partial Domain Adaptation |
| Selecting A Diverse Set Of Aesthetically-Pleasing and Representative Video Thumbnails Using Reinforcement | learning | |
| Selecting Influential Examples: Active | learning | with Expected Model Output Changes |
| Selecting Useful Knowledge from Previous Tasks for Future | learning | in a Single Network |
| Selecting Vision Operators and Fixing Their Optimal Parameters Values Using Reinforcement | learning | |
| Selection of relevant features in a fuzzy genetic | learning | algorithm |
| Selective Attention in the | learning | of Invariant Representation of Objects |
| Selective Federated Reinforcement | learning | Strategy for Autonomous Driving, A |
| Selective Freezing for Efficient Continual | learning | |
| Selective | learning | of Human Pose Estimation Based on Multi-Scale Convergence Network |
| Selective multiple kernel | learning | for classification with ensemble strategy |
| Selective part-based correlation filter tracking algorithm with reinforcement | learning | |
| Selective Progressive | learning | for Sparse Depth Completion |
| Selective Replay Enhances | learning | in Online Continual Analogical Reasoning |
| Selective unsupervised feature | learning | with Convolutional Neural Network (S-CNN) |
| Selective visual attention enables | learning | and recognition of multiple objects in cluttered scenes |
| Selective Wavelet Attention | learning | for Single Image Deraining |
| Selective-Supervised Contrastive | learning | with Noisy Labels |
| Self | learning | Classification for Degraded Document Images by Sparse Representation |
| Self | learning | Video Filters for Wavelet Coded Video Streams |
| Self Paced Deep | learning | for Weakly Supervised Object Detection |
| self-adaptive local metric | learning | method for classification, A |
| Self-Adaptive Logit Balancing for Deep | learning | Robustness in Computer Vision |
| Self-Adaptive Training: Bridging Supervised and Self-Supervised | learning | |
| Self-adaptive weighted synthesised local directional pattern integrating with sparse autoencoder for expression recognition based on improved multiple kernel | learning | strategy |
| Self-attention driven adversarial similarity | learning | network |
| Self-Attention Message Passing for Contrastive Few-Shot | learning | |
| Self-Attention-Based Multiscale Feature | learning | Optical Flow With Occlusion Feature Map Prediction |
| Self-Attentive Local Aggregation | learning | With Prototype Guided Regularization for Point Cloud Semantic Segmentation of High-Speed Railways |
| Self-Attentive Pooling for Efficient Deep | learning | |
| Self-Balanced | learning | for Domain Generalization |
| Self-Coaching System Based on Recorded Driving Data: | learning | From One's Experiences |
| Self-Compensating | learning | for Few-Shot Segmentation |
| Self-Completed Bipartite Graph | learning | for Fast Incomplete Multi-View Clustering |
| Self-Conditioned Probabilistic | learning | of Video Rescaling |
| Self-Configurable Stabilized Real-Time Detection | learning | for Autonomous Driving Applications |
| Self-Contrastive | learning | Framework for Skin Cancer Detection Using Histological Images, A |
| Self-Critical Attention | learning | for Person Re-Identification |
| Self-distillation and self-supervision for partial label | learning | |
| Self-Distilled Self-supervised Representation | learning | |
| Self-Driven Dual-Path | learning | for Reference-Based Line Art Colorization Under Limited Data |
| Self-Error-Correcting Convolutional Neural Network for | learning | with Noisy Labels |
| Self-Evolved Dynamic Expansion Model for Task-Free Continual | learning | |
| Self-Expressive Dictionary | learning | for Dynamic 3D Reconstruction |
| Self-Guided Adversarial | learning | for Domain Adaptive Semantic Segmentation |
| Self-Guided and Cross-Guided | learning | for Few-Shot Segmentation |
| Self-guided Multiple Instance | learning | for Weakly Supervised Disease Classification and Localization in Chest Radiographs |
| Self-imitation guided goal-conditioned reinforcement | learning | |
| Self-Incremental | learning | for Rapid Identification of Collapsed Buildings Triggered by Natural Disasters |
| Self-Learned Autonomous Driving at Unsignalized Intersections: A Hierarchical Reinforced | learning | Approach for Feasible Decision-Making |
| Self- | learning | approach to color demosaicking via support vector regression |
| Self- | learning | Approach to Single Image Super-Resolution, A |
| Self- | learning | Based Image Decomposition With Applications to Single Image Denoising |
| Self- | learning | Based Land-Cover Classification Using Sequential Class Patterns from Past Land-Cover Maps |
| Self- | learning | for face clustering |
| Self- | learning | for Few-Shot Remote Sensing Image Captioning |
| Self- | learning | Ontology for Instance Segmentation of 3d Indoor Point Cloud |
| Self- | learning | Optimal Cruise Control Based on Individual Car-Following Style |
| Self- | learning | pattern classification using a sequential clustering technique |
| Self- | learning | pLSA Model for Abnormal Behavior Detection in Crowded Scenes |
| Self- | learning | residual model for fast intra CU size decision in 3D-HEVC |
| Self- | learning | Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics |
| Self- | learning | Scene-Specific Pedestrian Detectors Using a Progressive Latent Model |
| Self- | learning | Segmentation and Classification of Cell-Nuclei in 3D Volumetric Data Using Voxel-Wise Gray Scale Invariants |
| Self- | learning | structure for text localization |
| Self- | learning | Super-Resolution Using Convolutional Principal Component Analysis and Random Matching |
| Self- | learning | Tumor Segmentation Method on DCE-MRI Images, A |
| Self- | learning | Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence |
| Self- | learning | With Rectification Strategy for Human Parsing |
| Self- | learning | -based post-processing for image/video deblocking via sparse representation |
| SELF-LLP: Self-supervised | learning | from label proportions with self-ensemble |
| Self-Mutual Distillation | learning | for Continuous Sign Language Recognition |
| Self-Organized Text Detection with Minimal Post-processing via Border | learning | |
| Self-Organizing Maps for | learning | the Edit Costs in Graph Matching |
| Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental | learning | |
| Self-Orthogonality Module: A Network Architecture Plug-in for | learning | Orthogonal Filters |
| Self-Paced Adversarial Training for Multimodal Few-Shot | learning | |
| Self-paced deep clustering with | learning | loss |
| Self-paced | learning | for K-means Clustering Algorithm |
| Self-Paced | learning | for Long-Term Tracking |
| Self-paced | learning | to Improve Text Row Detection in Historical Documents with Missing Labels |
| Self-paced least square semi-coupled dictionary | learning | for person re-identification |
| Self-Paced Multiple-Instance | learning | Framework for Co-Saliency Detection, A |
| Self-paced resistance | learning | against overfitting on noisy labels |
| Self-Paced Weight Consolidation for Continual | learning | |
| Self-Play or Group Practice: | learning | to Play Alternating Markov Game in Multi-Agent System |
| Self-Promoted Prototype Refinement for Few-Shot Class-Incremental | learning | |
| Self-Referenced Deep | learning | |
| Self-Regulated Feature | learning | via Teacher-free Feature Distillation |
| Self-Regulated | learning | and Online Learning: A Systematic Review |
| Self-Regulated | learning | and Online Learning: A Systematic Review |
| Self-Regulated | learning | for Egocentric Video Activity Anticipation |
| Self-reinforced diffusion for graph-based semi-supervised | learning | |
| Self-restraint object recognition by model based CNN | learning | |
| Self-similarity Driven Scale-invariant | learning | for Weakly Supervised Person Search |
| Self-Supervise Reinforcement | learning | Method for Vacant Parking Space Detection Based on Task Consistency and Corrupted Rewards |
| Self-Supervised 3D Action Representation | learning | With Skeleton Cloud Colorization |
| Self-Supervised 3D Behavior Representation | learning | Based on Homotopic Hyperbolic Embedding |
| Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive | learning | |
| Self-Supervised 3D Representation | learning | of Dressed Humans From Social Media Videos |
| Self-supervised 3D Skeleton Action Representation | learning | with Motion Consistency and Continuity |
| Self-Supervised 3D Skeleton Representation | learning | with Active Sampling and Adaptive Relabeling for Action Recognition |
| Self-supervised 4D Spatio-temporal Feature | learning | via Order Prediction of Sequential Point Cloud Clips |
| Self-Supervised Adversarial | learning | for Domain Adaptation of Pavement Distress Classification |
| Self-Supervised Adversarial Variational | learning | |
| Self-Supervised Adversarial Video Summarizer With Context Latent Sequence | learning | |
| Self-Supervised Agent | learning | for Unsupervised Cross-Domain Person Re-Identification |
| Self-supervised Bayesian Deep | learning | for Image Recovery with Applications to Compressive Sensing |
| Self-Supervised Blind Image Deconvolution via Deep Generative Ensemble | learning | |
| self-supervised causal feature reinforcement | learning | method for non-invasive hemoglobin prediction, A |
| Self-Supervised Clustering based on Manifold | learning | and Graph Convolutional Networks |
| Self-Supervised Contrastive | learning | for Audio-Visual Action Recognition |
| Self-Supervised Contrastive Representation | learning | for Semi-Supervised Time-Series Classification |
| Self-Supervised Correlation | learning | for Cross-Modal Retrieval |
| Self-Supervised Cross-Video Temporal | learning | for Unsupervised Video Domain Adaptation |
| Self-Supervised Deep | learning | for Image Reconstruction: A Langevin Monte Carlo Approach |
| Self-Supervised Deep | learning | Framework for Unsupervised Few-Shot Learning and Clustering, A |
| Self-Supervised Deep | learning | Framework for Unsupervised Few-Shot Learning and Clustering, A |
| Self-Supervised Deep Multi-Level Representation | learning | Fusion-Based Maximum Entropy Subspace Clustering for Hyperspectral Band Selection |
| Self-Supervised Discovering of Interpretable Features for Reinforcement | learning | |
| Self-Supervised Distilled | learning | for Multi-modal Misinformation Identification |
| Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot | learning | |
| Self-Supervised ECG Representation | learning | for Emotion Recognition |
| Self-Supervised Equivariant | learning | for Oriented Keypoint Detection |
| Self-Supervised Exclusive-Inclusive Interactive | learning | for Multi-Label Facial Expression Recognition in the Wild |
| Self-supervised Feature | learning | by Cross-modality and Cross-view Correspondences |
| Self-Supervised Feature | learning | by Learning to Spot Artifacts |
| Self-Supervised Feature | learning | by Learning to Spot Artifacts |
| Self-Supervised Feature | learning | via Exploiting Multi-Modal Data for Retinal Disease Diagnosis |
| Self-Supervised Feature | learning | with CRF Embedding for Hyperspectral Image Classification |
| Self-Supervised Generalized Zero Shot | learning | for Medical Image Classification Using Novel Interpretable Saliency Maps |
| Self-supervised Hypergraphs for | learning | Multiple World Interpretations |
| Self-Supervised Image Prior | learning | with GMM from a Single Noisy Image |
| Self-Supervised Image Representation | learning | with Geometric Set Consistency |
| Self-Supervised Intra-Modal and Cross-Modal Contrastive | learning | for Point Cloud Understanding |
| Self-supervised knowledge distillation in counterfactual | learning | for VQA |
| Self-supervised latent feature | learning | for partial point clouds recognition |
| Self-Supervised | learning | |
| Self-Supervised | learning | Across Domains |
| Self-Supervised | learning | Algorithm of Environment Recognition in Driving Vehicle |
| Self-Supervised | learning | Approach for Extracting China Physical Urban Boundaries Based on Multi-Source Data, A |
| Self-supervised | learning | based on discriminative nonlinear features for image classification |
| Self-Supervised | learning | by Estimating Twin Class Distribution |
| Self-Supervised | learning | for Accurate Liver View Classification in Ultrasound Images with Minimal Labeled Data |
| Self-supervised | learning | for Astronomical Image Classification |
| Self-Supervised | learning | for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods |
| Self-Supervised | learning | for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods |
| Self-Supervised | learning | for Context-Independent DfD Network using Multi-View Rank Supervision |
| Self-Supervised | learning | for Docking and Target Reaching |
| Self-Supervised | learning | for Domain Adaptation on Point Clouds |
| Self-Supervised | learning | for Few-Shot Medical Image Segmentation |
| Self-supervised | learning | for Fine-grained Ethnicity Classification under Limited Labeled Data |
| Self-Supervised | learning | for Heterogeneous Audiovisual Scene Analysis |
| Self-Supervised | learning | for Multimedia Recommendation |
| Self-Supervised | learning | for Multimodal Non-Rigid 3D Shape Matching |
| Self-supervised | learning | for Next-Generation Industry-Level Autonomous Driving |
| Self-Supervised | learning | for Non-Rigid Registration Between Near-Isometric 3D Surfaces in Medical Imaging |
| Self-Supervised | learning | for Object Detection and Segmentation |
| Self-Supervised | learning | for Object Recognition based on Kernel Discriminant-EM Algorithm |
| Self-supervised | learning | for Real-World Super-Resolution from Dual Zoomed Observations |
| Self-Supervised | learning | for RGB-Guided Depth Enhancement by Exploiting the Dependency Between RGB and Depth |
| Self-Supervised | learning | for Scanned Halftone Classification with Novel Augmentation Techniques |
| Self-Supervised | learning | for Scene Classification in Remote Sensing: Current State of the Art and Perspectives |
| Self-Supervised | learning | for Semi-Supervised Temporal Action Proposal |
| Self-Supervised | learning | for Semi-Supervised Temporal Language Grounding |
| Self-supervised | learning | for Sonar Image Classification |
| Self-Supervised | learning | for Texture Classification Using Limited Labeled Data |
| Self-Supervised | learning | for Videos: A Survey |
| Self-Supervised | learning | from Images with a Joint-Embedding Predictive Architecture |
| Self-Supervised | learning | from Untrimmed Videos via Hierarchical Consistency |
| Self-supervised | learning | monocular depth estimation from internet photos |
| Self-Supervised | learning | of 3D Human Pose Using Multi-View Geometry |
| Self-supervised | learning | of Adversarial Example: Towards Good Generalizations for Deepfake Detection |
| Self-Supervised | learning | of Audio Representations From Permutations With Differentiable Ranking |
| Self-supervised | learning | of Audio-visual Objects from Video |
| Self-Supervised | learning | of Class Embeddings from Video |
| Self-supervised | learning | of Depth and Camera Motion from 360° Videos |
| Self-Supervised | learning | of Depth and Motion Under Photometric Inconsistency |
| Self-Supervised | learning | of Depth and Pose Using Cycle Generative Adversarial Network |
| Self-supervised | learning | of Depth Inference for Multi-view Stereo |
| Self-Supervised | learning | of Detailed 3D Face Reconstruction |
| Self-Supervised | learning | of Domain Invariant Features for Depth Estimation |
| Self-supervised | learning | of Dynamic Representations for Static Images |
| Self-Supervised | learning | of Geometrically Stable Features Through Probabilistic Introspection |
| Self-Supervised | learning | of Graph Neural Networks: A Unified Review |
| Self-supervised | learning | of Implicit Shape Representation with Dense Correspondence for Deformable Objects |
| Self-Supervised | learning | of Interpretable Keypoints From Unlabelled Videos |
| Self-Supervised | learning | of Local Features in 3D Point Clouds |
| Self-Supervised | learning | of Non-Rigid Residual Flow and Ego-Motion |
| Self-Supervised | learning | of Object Parts for Semantic Segmentation |
| Self-Supervised | learning | of Optical Flow, Depth, Camera Pose and Rigidity Segmentation with Occlusion Handling |
| Self-supervised | learning | of Orc-Bert Augmentor for Recognizing Few-shot Oracle Characters |
| Self-Supervised | learning | of Perceptually Optimized Block Motion Estimates for Video Compression |
| Self-Supervised | learning | of Person-Specific Facial Dynamics for Automatic Personality Recognition |
| Self-Supervised | learning | of Point Clouds via Orientation Estimation |
| Self-Supervised | learning | of Pose Embeddings from Spatiotemporal Relations in Videos |
| Self-Supervised | learning | of Pose-Informed Latents |
| Self-Supervised | learning | of Pretext-Invariant Representations |
| Self-Supervised | learning | of Remote Sensing Scene Representations Using Contrastive Multiview Coding |
| Self-Supervised | learning | of Scene Flow with Occlusion Handling Through Feature Masking |
| Self-Supervised | learning | of Video Representation for Anticipating Actions in Early Stage |
| Self-Supervised | learning | of Video-Induced Visual Invariances |
| Self-Supervised | learning | of Visual Features through Embedding Images into Text Topic Spaces |
| Self-supervised | learning | of Visual Graph Matching |
| Self-Supervised | learning | on 3D Point Clouds by Learning Discrete Generative Models |
| Self-Supervised | learning | on 3D Point Clouds by Learning Discrete Generative Models |
| Self-supervised | learning | Through Colorization for Microscopy Images |
| Self-supervised | learning | to Bring Dual Reversed Rolling Shutter Images Alive |
| Self-Supervised | learning | to Guide Scientifically Relevant Categorization of Martian Terrain Images |
| Self-Supervised | learning | via Conditional Motion Propagation |
| Self-Supervised | learning | via Multi-view Facial Rendezvous for 3D/4D Affect Recognition |
| Self-Supervised | learning | With Adaptive Distillation for Hyperspectral Image Classification |
| Self-Supervised | learning | With Data-Efficient Supervised Fine-Tuning for Crowd Counting |
| Self-Supervised | learning | With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera |
| Self-Supervised | learning | with Graph Neural Networks for Region of Interest Retrieval in Histopathology |
| Self-supervised | learning | with Local Contrastive Loss for Detection and Semantic Segmentation |
| Self-Supervised | learning | with Masked Image Modeling for Teeth Numbering, Detection of Dental Restorations, and Instance Segmentation in Dental Panoramic Radiographs |
| Self-supervised | learning | with Multi-view Rendering for 3d Point Cloud Analysis |
| Self-supervised | learning | : What Is Next? |
| Self-Supervised Material and Texture Representation | learning | for Remote Sensing Tasks |
| Self-Supervised Metric | learning | Framework for the Arising-From-Chair Assessment of Parkinsonians With Graph Convolutional Networks, A |
| Self-Supervised Monocular Depth and Motion | learning | in Dynamic Scenes: Semantic Prior to Rescue |
| Self-Supervised Monocular Depth | learning | in Low-Texture Areas |
| Self-supervised Motion | learning | from Static Images |
| Self-Supervised Multi-level Face Model | learning | for Monocular Reconstruction at Over 250 Hz |
| Self-supervised multi-task | learning | for medical image analysis |
| Self-supervised Multi-task Procedure | learning | from Instructional Videos |
| Self-supervised Multi-view Synchronization | learning | for 3d Pose Estimation |
| Self-supervised on-line cumulative | learning | from video streams |
| Self-Supervised Online Metric | learning | With Low Rank Constraint for Scene Categorization |
| Self-Supervised Pillar Motion | learning | for Autonomous Driving |
| Self-Supervised Point Cloud Representation | learning | via Separating Mixed Shapes |
| Self-Supervised Pyramid Representation | learning | for Multi-Label Visual Analysis and Beyond |
| Self-Supervised Relative Depth | learning | for Urban Scene Understanding |
| Self-Supervised Remote Sensing Image Dehazing Network Based on Zero-Shot | learning | |
| self-supervised remote sensing image fusion framework with dual-stage self- | learning | and spectral super-resolution injection, A |
| Self-Supervised Representation | learning | by Rotation Feature Decoupling |
| Self-Supervised Representation | learning | for CAD |
| Self-supervised representation | learning | for detection of ACL tear injury in knee MR videos |
| Self-Supervised Representation | learning | for Geographical Data: A Systematic Literature Review |
| Self-Supervised Representation | learning | for Remote Sensing Image Change Detection Based on Temporal Prediction |
| Self-Supervised Representation | learning | for Videos by Segmenting via Sampling Rate Order Prediction |
| Self-Supervised Representation | learning | from Flow Equivariance |
| Self-Supervised Representation | learning | From Multi-Domain Data |
| Self-Supervised Representation | learning | From Videos for Facial Action Unit Detection |
| Self-Supervised Representation | learning | using Visual Field Expansion on Digital Pathology |
| Self-Supervised Representation | learning | via Neighborhood-Relational Encoding |
| Self-Supervised Residual Feature | learning | Model for Multifocus Image Fusion, A |
| Self-Supervised Scene-Debiasing for Video Representation | learning | via Background Patching |
| Self-supervised Secondary Landmark Detection via 3D Representation | learning | |
| Self-Supervised Spatio-Temporal Representation | learning | for Videos by Predicting Motion and Appearance Statistics |
| Self-Supervised Spatiotemporal | learning | via Video Clip Order Prediction |
| Self-Supervised Synthesis Ranking for Deep Metric | learning | |
| Self-supervised Transfer | learning | for Hand Mesh Recovery from Binocular Images |
| Self-Supervised Vessel Segmentation via Adversarial | learning | |
| Self-Supervised Video GANs: | learning | for Appearance Consistency and Motion Coherency |
| Self-Supervised Video Pose Representation | learning | for Occlusion- Robust Action Recognition |
| Self-Supervised Video Representation | learning | by Context and Motion Decoupling |
| Self-supervised video representation | learning | by maximizing mutual information |
| Self-supervised Video Representation | learning | by Pace Prediction |
| Self-Supervised Video Representation | learning | by Serial Restoration With Elastic Complexity |
| Self-Supervised Video Representation | learning | by Uncovering Spatio-Temporal Statistics |
| Self-Supervised Video Representation | learning | Using Improved Instance-Wise Contrastive Learning and Deep Clustering |
| Self-Supervised Video Representation | learning | Using Improved Instance-Wise Contrastive Learning and Deep Clustering |
| Self-supervised Video Representation | learning | with Cascade Positive Retrieval |
| Self-supervised Video Representation | learning | with Cross-Stream Prototypical Contrasting |
| Self-Supervised Video Representation | learning | with Meta-Contrastive Network |
| Self-Supervised Video Representation | learning | with Odd-One-Out Networks |
| Self-Supervised Video Similarity | learning | |
| Self-Supervised Viewpoint | learning | From Image Collections |
| Self-Supervised Visibility | learning | for Novel View Synthesis |
| Self-supervised Visual Attribute | learning | for Fashion Compatibility |
| Self-Supervised Visual Feature | learning | With Deep Neural Networks: A Survey |
| Self-Supervised Visual Representations | learning | by Contrastive Mask Prediction |
| Self-supervision and meta- | learning | for one-shot unsupervised cross-domain detection |
| Self-Supervision. Remote Sensing and Abstraction: Representation | learning | Across 3 Million Locations |
| Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental | learning | |
| Self-Taught Feature | learning | for Hyperspectral Image Classification |
| Self-taught | learning | of a deep invariant representation for visual tracking via temporal slowness principle |
| Self-Taught Metric | learning | without Labels |
| Self-training and multi-task | learning | for limited data: Evaluation study on object detection |
| Self-Training | learning | Document Binarization Framework, A |
| Self-Weighted Anchor Graph | learning | for Multi-View Clustering |
| Self-weighted | learning | framework for adaptive locality discriminant analysis |
| Self2Self With Dropout: | learning | Self-Supervised Denoising From Single Image |
| SelfAugment: Automatic Augmentation Policies for Self-Supervised | learning | |
| SelfD: Self- | learning | Large-Scale Driving Policies From the Web |
| SelfDoc: Self-Supervised Document Representation | learning | |
| SelFlow: Self-Supervised | learning | of Optical Flow |
| SelfME: Self-Supervised Motion | learning | for Micro-Expression Recognition |
| Semantic action recognition by | learning | a pose lexicon |
| Semantic and Temporal Contextual Correlation | learning | for Weakly-Supervised Temporal Action Localization |
| Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised | learning | |
| Semantic augmentation by mixing contents for semi-supervised | learning | |
| Semantic Autoencoder for Zero-Shot | learning | |
| Semantic Boosting: Enhancing Deep | learning | Based LULC Classification |
| Semantic Boundary Detection With Reinforcement | learning | for Continuous Sign Language Recognition |
| Semantic clustering based deduction | learning | for image recognition and classification |
| Semantic Concept Classification by Joint Semi-supervised | learning | of Feature Subspaces and Support Vector Machines |
| Semantic consistency cross-modal dictionary | learning | with rank constraint |
| Semantic Consistent Embedding for Domain Adaptive Zero-Shot | learning | |
| Semantic Context Forests for | learning | -Based Knee Cartilage Segmentation in 3D MR Images |
| Semantic Contrastive Embedding for Generalized Zero-Shot | learning | |
| Semantic Curiosity for Active Visual | learning | |
| Semantic Description of Medical Image Findings: Structured | learning | approach |
| Semantic Discriminative Metric | learning | for Image Similarity Measurement |
| Semantic Distance Adversarial | learning | for Text-to-Image Synthesis |
| Semantic Diversity | learning | for Zero-Shot Multi-label Classification |
| Semantic Drift Compensation for Class-Incremental | learning | |
| Semantic Encoding Out-of-Distribution Classifier for Generalized Zero-Shot | learning | , A |
| Semantic granularity metric | learning | for visual search |
| Semantic Guidance | learning | for High-Resolution Non-homogeneous Dehazing |
| Semantic guided knowledge graph for large-scale zero-shot | learning | |
| Semantic Guided Latent Parts Embedding for Few-Shot | learning | |
| Semantic Image Synthesis via Adversarial | learning | |
| Semantic Information in Contrastive | learning | |
| Semantic Kernel | learning | for Interactive Image Retrieval |
| Semantic Knowledge Guided Class-Incremental | learning | |
| Semantic Label Sharing for | learning | with Many Categories |
| Semantic Labeling of Mobile LiDAR Point Clouds via Active | learning | and Higher Order MRF |
| Semantic | learning | Applications in Multimedia |
| Semantic | learning | for Audio Applications: A Computer Vision Approach |
| Semantic | learning | Network for Controllable Video Captioning |
| Semantic Map Annotation Through UAV Video Analysis Using Deep | learning | Models in ROS |
| Semantic Part Detection via Matching: | learning | to Generalize to Novel Viewpoints From Limited Training Data |
| Semantic pooling for image categorization using multiple kernel | learning | |
| Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive | learning | |
| Semantic Ray: | learning | a Generalizable Semantic Field with Cross-Reprojection Attention |
| Semantic Relevance | learning | for Video-Query Based Video Moment Retrieval |
| Semantic Segmentation Deep | learning | for Extracting Surface Mine Extents from Historic Topographic Maps |
| Semantic Segmentation for Building FaÇade 3d Point Cloud From 2d Orthophoto Images Using Transfer | learning | |
| Semantic Segmentation for Digital Archives of Borobudur Reliefs Based on Soft-Edge Enhanced Deep | learning | |
| Semantic segmentation from remote sensor data and the exploitation of latent | learning | for classification of auxiliary tasks |
| Semantic Segmentation in Aerial Imagery Using Multi-level Contrastive | learning | with Local Consistency |
| Semantic Segmentation in Thermal Videos: A New Benchmark and Multi-Granularity Contrastive | learning | -Based Framework |
| Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-Supervised | learning | |
| Semantic Segmentation of Mesoscale Eddies in the Arabian Sea: A Deep | learning | Approach |
| Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep | learning | |
| Semantic Segmentation of Satellite Images: A Deep | learning | Approach Integrated with Geospatial Hash Codes |
| Semantic segmentation of slums in satellite images using transfer | learning | on fully convolutional neural networks |
| Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep | learning | |
| Semantic segmentation of urban scenes by | learning | local class interactions |
| Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature | learning | |
| Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer | learning | |
| Semantic Segmentation Using Deep | learning | with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images |
| Semantic Segmentation via Multi-task, Multi-domain | learning | |
| Semantic Segmentation with Active Semi-Supervised | learning | |
| Semantic Segmentation with Generative Models: Semi-Supervised | learning | and Strong Out-of-Domain Generalization |
| Semantic-aligned reinforced attention model for zero-shot | learning | |
| Semantic-Aware Auto-Encoders for Self-supervised Representation | learning | |
| Semantic-Aware Contrastive | learning | With Proposal Suppression for Video Semantic Role Grounding |
| Semantic-Aware Implicit Template | learning | via Part Deformation Consistency |
| Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental | learning | |
| Semantic-aware visual attributes | learning | for zero-shot recognition |
| Semantic-Based Sentence Recognition in Images Using Bimodal Deep | learning | |
| Semantic-Gap-Oriented Active | learning | for Multilabel Image Annotation |
| Semantic-Guided Class-Imbalance | learning | Model for Zero-Shot Image Classification |
| Semantic-Guided Zero-Shot | learning | for Low-Light Image/Video Enhancement |
| Semantic-Preserving Metric | learning | for Video-Text Retrieval |
| Semantical Analytical Approach for Zero Shot Gesture | learning | , A |
| Semantically Aligned Bias Reducing Zero Shot | learning | |
| Semantically Grounded Visual Embeddings for Zero-Shot | learning | |
| Semantically Meaningful Class Prototype | learning | for One-Shot Image Segmentation |
| Semantics analysis model based on deep | learning | for vessel traffic service application |
| Semantics constrained dictionary | learning | for signer-independent sign language recognition |
| Semantics Disentangling for Generalized Zero-Shot | learning | |
| Semantics Guided Contrastive | learning | of Transformers for Zero-shot Temporal Activity Detection |
| Semantics Meets Temporal Correspondence: Self-supervised Object-centric | learning | in Videos |
| Semantics of object representation in machine | learning | |
| Semantics of Voids within Data: Ignorance-Aware Machine | learning | |
| Semantics reinforcement and fusion | learning | for multimedia streams |
| Semantics-Consistent Feature Search for Self-Supervised Visual Representation | learning | |
| Semantics-Consistent Representation | learning | for Remote Sensing Image-Voice Retrieval |
| Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised | learning | of Semantics and Depth |
| Semantics-enhanced discriminative descriptor | learning | for LiDAR-based place recognition |
| Semantics-Guided Intra-Category Knowledge Transfer for Generalized Zero-Shot | learning | |
| Semantics-Guided Representation | learning | with Applications to Visual Synthesis |
| SemanticStyleGAN: | learning | Compositional Generative Priors for Controllable Image Synthesis and Editing |
| Semi Supervised | learning | for Wild Faces and Video |
| Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine | learning | Approaches |
| Semi-Automatic Cracks Correction Based on Seam Processing, Stochastic Analysis and | learning | Process |
| Semi-Automatic Oil Spill Detection on X-Band Marine Radar Images Using Texture Analysis, Machine | learning | , and Adaptive Thresholding |
| Semi-Autonomous | learning | Algorithm for Remote Image Object Detection Based on Aggregation Area Instance Refinement |
| Semi-autonomous | learning | of Objects |
| Semi-Coupled Convolutional Sparse | learning | for Image Super-Resolution |
| Semi-coupled dictionary | learning | with applications to image super-resolution and photo-sketch synthesis |
| Semi-Coupled Synthesis and Analysis Dictionary Pair | learning | for Kinship Verification |
| Semi-Decentralized Network Slicing for Reliable V2V Service Provisioning: A Model-Free Deep Reinforcement | learning | Approach |
| Semi-FCMNet: Semi-Supervised | learning | for Forest Cover Mapping from Satellite Imagery via Ensemble Self-Training and Perturbation |
| Semi-Infinitely Constrained Markov Decision Processes and Provably Efficient Reinforcement | learning | |
| Semi-Leak: Membership Inference Attacks Against Semi-supervised | learning | |
| Semi-lexical languages: a formal basis for using domain knowledge to resolve ambiguities in deep- | learning | based computer vision |
| Semi-self-supervised | learning | Approach for Wheat Head Detection using Extremely Small Number of Labeled Samples, A |
| Semi-Siamese Training for Shallow Face | learning | |
| Semi-supervised 3D Face Representation | learning | from Unconstrained Photo Collections |
| Semi-Supervised 3D Hand-Object Pose Estimation Via Pose Dictionary | learning | |
| Semi-Supervised 3D Medical Image Segmentation Via Boundary-Aware Consistent Hidden Representation | learning | |
| Semi-Supervised Action Recognition From Temporal Augmentation Using Curriculum | learning | |
| Semi-Supervised Action Recognition with Temporal Contrastive | learning | |
| Semi-supervised Active | learning | for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels |
| Semi-Supervised Active | learning | Framework for Image Retrieval, A |
| Semi-Supervised Active | learning | with Temporal Output Discrepancy |
| Semi-Supervised Adversarial | learning | for Attribute-Aware Photo Aesthetic Assessment |
| Semi-supervised Adversarial | learning | to Generate Photorealistic Face Images of New Identities from 3D Morphable Model |
| Semi-supervised and Interactive Semantic Concept | learning | for Scene Recognition |
| Semi-Supervised and Unsupervised Deep Visual | learning | : A Survey |
| Semi-Supervised Automatic Layer and Fluid Region Segmentation of Retinal Optical Coherence Tomography Images Using Adversarial | learning | |
| Semi-Supervised Bi-Dictionary | learning | for Image Classification With Smooth Representation-Based Label Propagation |
| Semi-Supervised Bilinear Subspace | learning | |
| Semi-supervised boosting using visual similarity | learning | |
| Semi-supervised center-based discriminative adversarial | learning | for cross-domain scene-level land-cover classification of aerial images |
| Semi-Supervised Class Incremental | learning | |
| Semi-supervised Clustering Framework Based on Active | learning | for Real Data |
| Semi-supervised clustering with metric | learning | : An adaptive kernel method |
| Semi-Supervised Clustering, Semi-Supervised | learning | , Classification |
| Semi-Supervised Contrastive | learning | for Few-Shot Segmentation of Remote Sensing Images |
| Semi-Supervised Contrastive | learning | of Global and Local Representation for 3d Medical Image Segmentation |
| Semi-Supervised Contrastive | learning | With Similarity Co-Calibration |
| Semi-supervised Coupled Dictionary | learning | for Person Re-identification |
| Semi-Supervised Cross Feature | learning | for Semantic Concept Detection in Videos |
| Semi-Supervised Cross-Media Feature | learning | With Unified Patch Graph Regularization |
| Semi-supervised cross-modal common representation | learning | with vector-valued manifold regularization |
| Semi-supervised cross-modal representation | learning | with GAN-based Asymmetric Transfer Network |
| Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer | learning | |
| Semi-Supervised Cross-View Projection-Based Dictionary | learning | for Video-Based Person Re-Identification |
| Semi-Supervised Crowd Counting via Multiple Representation | learning | |
| Semi-supervised Deep Convolutional Transform | learning | for Hyperspectral Image Classification |
| Semi-Supervised Deep Coupled Ensemble | learning | With Classification Landmark Exploration |
| Semi-Supervised Deep | learning | Classification for Hyperspectral Image Based on Dual-Strategy Sample Selection |
| Semi-Supervised Deep | learning | for Estimating Fur Seal Numbers |
| Semi-Supervised Deep | learning | for Lunar Crater Detection Using CE-2 DOM |
| Semi-Supervised Deep | learning | for Monocular Depth Map Prediction |
| Semi-supervised deep | learning | for object tracking and classification |
| Semi-Supervised Deep | learning | Framework for Change Detection in Open-Pit Mines Using SAR Imagery, A |
| Semi-supervised Deep | learning | Techniques for Spectrum Reconstruction |
| Semi-Supervised Deep | learning | Using Pseudo Labels for Hyperspectral Image Classification |
| Semi-supervised Deep | learning | with Memory |
| Semi-Supervised Deep Metric | learning | Networks for Classification of Polarimetric SAR Data |
| Semi-Supervised Deep Transfer | learning | for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images |
| Semi-Supervised Depth Estimation by Multi-Task | learning | |
| Semi-supervised Dictionary | learning | Based on Hilbert-Schmidt Independence Criterion |
| Semi-supervised dictionary | learning | via local sparse constraints for violence detection |
| Semi-supervised Distance Metric | learning | by Quadratic Programming |
| Semi-Supervised Distance Metric | learning | for Collaborative Image Retrieval |
| Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous | learning | |
| Semi-supervised Domain Adaptation with Subspace | learning | for visual recognition |
| Semi-Supervised Domain Adaptive Structure | learning | |
| Semi-Supervised Domain Alignment | learning | for Single Image Dehazing |
| Semi-supervised double duelling broad reinforcement | learning | in support of traffic service in smart cities |
| Semi-Supervised Dual Relation | learning | for Multi-Label Classification |
| Semi-supervised Edge | learning | for Building Detection in Aerial Images |
| Semi-supervised elastic manifold embedding with deep | learning | architecture |
| Semi-supervised Ensemble | learning | Approach for Character Labeling with Minimal Human Effort, A |
| Semi-supervised Facial Action Unit Intensity Estimation with Contrastive | learning | |
| semi-supervised feature ranking method with ensemble | learning | , A |
| Semi-Supervised Federated | learning | for Travel Mode Identification From GPS Trajectories |
| Semi-Supervised Few-Shot Class-Incremental | learning | |
| Semi-Supervised Few-Shot | learning | from A Dependency-Discriminant Perspective |
| Semi-Supervised Few-shot | learning | via Multi-Factor Clustering |
| Semi-supervised Fine-tuning for Deep | learning | Models in Remote Sensing Applications |
| Semi-supervised framework for writer identification using structural | learning | |
| semi-supervised generative framework with deep | learning | features for high-resolution remote sensing image scene classification, A |
| Semi-supervised Graph | learning | : Near Strangers or Distant Relatives |
| Semi-Supervised Grounding Alignment for Multi-Modal Feature | learning | |
| Semi-Supervised Incremental | learning | of Hierarchical Appearance Models |
| Semi-supervised kernel matrix | learning | using adaptive constraint-based seed propagation |
| semi-supervised | learning | algorithm for relevance feedback and collaborative image retrieval, A |
| Semi-supervised | learning | and feature evaluation for RGB-D object recognition |
| Semi-supervised | learning | and graph cuts for consensus based medical image segmentation |
| Semi-supervised | learning | and optimization for hypergraph matching |
| Semi-Supervised | learning | Approach for Pixel-Level Pavement Anomaly Detection, A |
| Semi-supervised | learning | Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues, A |
| Semi-Supervised | learning | Based Object Detection in Aerial Imagery |
| Semi-supervised | learning | based on Bayesian Networks and Optimization for Interactive Image Retrieval |
| Semi-supervised | learning | based on group sparse for relative attributes |
| Semi-supervised | learning | Based on Joint Diffusion of Graph Functions and Laplacians |
| Semi-Supervised | learning | by Augmented Distribution Alignment |
| Semi-supervised | learning | by locally linear embedding in kernel space |
| Semi-supervised | learning | by search of optimal target vector |
| Semi-supervised | learning | competence of classifiers based on graph for dynamic classifier selection |
| Semi-supervised | learning | dehazing algorithm based on the OSV model |
| Semi-Supervised | learning | for ABUS Tumor Detection Using Deep Learning Methodxo |
| Semi-Supervised | learning | for ABUS Tumor Detection Using Deep Learning Methodxo |
| Semi-supervised | learning | for Anomalous Trajectory Detection |
| Semi-supervised | learning | for character recognition in historical archive documents |
| Semi-supervised | learning | for Cross-Device Visual Location Recognition |
| Semi-supervised | learning | for Cursive Handwriting Recognition Using Keyword Spotting |
| Semi-Supervised | learning | for Discrete Choice Models |
| Semi-supervised | learning | for Face Sketch Synthesis in the Wild |
| Semi-Supervised | learning | for Few-Shot Image-to-Image Translation |
| Semi-Supervised | learning | for FGVC With Out-of-Category Data |
| Semi-supervised | learning | for Grain Size Distribution Interpolation |
| Semi-supervised | learning | for Handwriting Recognition |
| Semi-Supervised | learning | for Ill-Posed Polarimetric SAR Classification |
| Semi-supervised | learning | for Image Annotation Based on Conditional Random Fields |
| Semi-supervised | learning | for Large Scale Image Cosegmentation |
| Semi-Supervised | learning | for Low-light Image Restoration through Quality Assisted Pseudo-Labeling |
| Semi-Supervised | learning | for Mars Imagery Classification |
| Semi-Supervised | learning | for Monocular Gaze Redirection |
| Semi-Supervised | learning | for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study |
| Semi-supervised | learning | for RGB-D Object Recognition |
| Semi-supervised | learning | for robust car windshield tracking and monitoring in live traffic videos |
| Semi-Supervised | learning | for Seismic Impedance Inversion Using Generative Adversarial Networks |
| Semi-supervised | learning | for semantic video retrieval |
| Semi-Supervised | learning | for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing |
| Semi-supervised | learning | for text-line detection |
| Semi-supervised | learning | framework based on statistical analysis for image set classification |
| Semi-supervised | learning | in traffic scene surveillance based on label-propagation |
| Semi-supervised | learning | made simple with self-supervised clustering |
| Semi-supervised | learning | Method for Motility Disease Diagnostic, A |
| Semi-Supervised | learning | Method for the Augmentation of an Incomplete Image-Based Inventory of Earthquake-Induced Soil Liquefaction Surface Effects |
| Semi-Supervised | learning | Model Based Efficient Image Annotation |
| Semi-supervised | learning | of anatomical manifolds for atlas-based segmentation of medical images |
| Semi-Supervised | learning | of Camera Motion from A Blurred Image |
| Semi-supervised | learning | of Edge Filters for Volumetric Image Segmentation |
| Semi-supervised | learning | of Feature Hierarchies for Object Detection in a Video |
| Semi-supervised | learning | of Geospatial Objects through Multi-modal Data Integration |
| Semi-supervised | learning | of Joint Density Models for Human Pose Estimation |
| Semi-Supervised | learning | of Monocular 3D Hand Pose Estimation from Multi-View Images |
| Semi-Supervised | learning | of MRI Synthesis Without Fully-Sampled Ground Truths |
| Semi-supervised | learning | of multi-factor models for face de-identification |
| Semi-supervised | learning | of Nonrigid Deformations for Image Registration |
| Semi-supervised | learning | of object categories from paired local features |
| Semi-supervised | learning | of Optical Flow by Flow Supervisor |
| Semi-Supervised | learning | of Perceptual Video Quality by Generating Consistent Pairwise Pseudo-Ranks |
| Semi-Supervised | learning | of Semantic Correspondence with Pseudo-Labels |
| Semi-supervised | learning | of sparse representations to recognize people spatial orientation |
| Semi-Supervised | learning | of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications |
| Semi-Supervised | learning | of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples |
| Semi-Supervised | learning | on a Budget: Scaling Up to Large Datasets |
| Semi-supervised | learning | on Bi-relational Graph for Image Annotation |
| Semi-supervised | learning | on large complex simulations |
| Semi-supervised | learning | on large-scale geotagged photos for situation recognition |
| Semi-supervised | learning | on Semantic Manifold for Event Analysis in Dynamic Scenes |
| Semi-supervised | learning | through adaptive Laplacian graph trimming |
| Semi-supervised | learning | using adversarial training with good and bad samples |
| Semi-supervised | learning | via Conditional Rotation Angle Estimation |
| Semi-Supervised | learning | via Convolutional Neural Network for Hyperspectral Image Classification |
| Semi-Supervised | learning | Via Feedforward-Designed Convolutional Neural Networks |
| Semi-supervised | learning | via Multiple Layer Graph Regularized Perception |
| Semi-Supervised | learning | via Regularized Boosting Working on Multiple Semi-Supervised Assumptions |
| Semi-Supervised | learning | via Weight-aware Distillation under Class Distribution Mismatch |
| Semi-supervised | learning | with a Teacher-student Network for Generalized Attribute Prediction |
| Semi-supervised | learning | with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations |
| Semi-supervised | learning | with connectivity-driven convolutional neural networks |
| Semi-supervised | learning | with Constraints for Person Identification in Multimedia Data |
| Semi-supervised | learning | with explicit relationship regularization |
| Semi-Supervised | learning | With Graph Learning-Convolutional Networks |
| Semi-Supervised | learning | With Graph Learning-Convolutional Networks |
| Semi-supervised | learning | with kernel locality-constrained linear coding |
| Semi-supervised | learning | with Multilayer Perceptron for Detecting Changes of Remote Sensing Images |
| Semi-supervised | learning | with nuclear norm regularization |
| Semi-Supervised | learning | with Scarce Annotations |
| Semi-Supervised Low-Rank Mapping | learning | for Multi-Label Classification |
| Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot | learning | |
| Semi-supervised manifold | learning | based on 2-fold weights |
| Semi-supervised manifold-embedded hashing with joint feature representation and classifier | learning | |
| Semi-Supervised Maximum Margin Metric | learning | Approach for Small Scale Person Re-Identification, A |
| Semi-Supervised Medical Image Segmentation Using Adversarial Consistency | learning | and Dynamic Convolution Network |
| Semi-supervised medical image segmentation via hard positives oriented contrastive | learning | |
| Semi-supervised metric | learning | via topology preserving multiple semi-supervised assumptions |
| Semi-Supervised Metric | learning | -Based Anchor Graph Hashing for Large-Scale Image Retrieval |
| Semi-supervised multi-feature | learning | for person re-identification |
| Semi-supervised multi-Layer convolution kernel | learning | in credit evaluation |
| Semi-supervised Multi-task | learning | for Semantics and Depth |
| Semi-Supervised Multi-View Deep Discriminant Representation | learning | |
| Semi-Supervised Multimodality | learning | With Graph Convolutional Neural Networks For Disease Diagnosis |
| Semi-Supervised Multitask | learning | for Scene Recognition |
| Semi-supervised Neighborhood Preserving Discriminant Embedding: A Semi-supervised Subspace | learning | Algorithm |
| Semi-Supervised Neuron Segmentation via Reinforced Consistency | learning | |
| Semi-supervised node classification via fine-grained graph auxiliary augmentation | learning | |
| Semi-supervised Object Detection via VC | learning | |
| Semi-supervised Online | learning | of Handwritten Characters Using a Bayesian Classifier |
| Semi-Supervised Partial Multi-Label Classification via Consistency | learning | |
| Semi-supervised Region Metric | learning | for Person Re-identification |
| Semi-Supervised Representation | learning | for Segmentation on Medical Volumes and Sequences |
| Semi-Supervised Representation | learning | via Triplet Loss Based on Explicit Class Ratio of Unlabeled Data |
| Semi-supervised Robust Dictionary | learning | via Efficient l-Norms Minimization |
| Semi-Supervised Semantic Segmentation under Label Noise via Diverse | learning | Groups |
| Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive | learning | from a Class-wise Memory Bank |
| Semi-Supervised Structured Subspace | learning | for Multi-View Clustering |
| Semi-supervised student-teacher | learning | for single image super-resolution |
| Semi-supervised SVM batch mode active | learning | for image retrieval |
| Semi-supervised SVM for Manifold | learning | , A |
| Semi-Supervised Tensor-Based Graph Embedding | learning | and Its Application to Visual Discriminant Tracking |
| Semi-Supervised Text Classification With Universum | learning | |
| Semi-supervised Trajectory | learning | Using a Multi-Scale Key Point Based Trajectory Representation |
| Semi-Supervised Transfer | learning | for Image Rain Removal |
| Semi-supervised transfer | learning | with hierarchical self-regularization |
| Semi-Supervised Two-Stage Approach to | learning | from Noisy Labels, A |
| Semi-supervised uncorrelated dictionary | learning | for colour face recognition |
| Semi-supervised Unified Latent Factor | learning | with multi-view data |
| Semi-supervised vector-valued | learning | : Improved bounds and algorithms |
| Semi-Supervised Video Object Segmentation via | learning | Object-Aware Global-Local Correspondence |
| Semi-supervised Vocabulary-Informed | learning | |
| Semi-Supervised Weight | learning | for the Spatial Search Method in ConvNet-Based Image Retrieval |
| Semi-Supervised Zero-Shot Classification with Label Representation | learning | |
| Semi-Weakly-Supervised | learning | of Complex Actions from Instructional Task Videos |
| SemiBoost: Boosting for Semi-Supervised | learning | |
| SemiCCA: Efficient Semi-supervised | learning | of Canonical Correlations |
| SEMICON: A | learning | -to-Hash Solution for Large-Scale Fine-Grained Image Retrieval |
| Semiconducting bilinear deep | learning | for incomplete image recognition |
| Semiconductor Defect Detection by Hybrid Classical-Quantum Deep | learning | |
| SemiContour: A Semi-Supervised | learning | Approach for Contour Detection |
| Seminar | learning | for Click-Level Weakly Supervised Semantic Segmentation |
| SemiRoadExNet: A semi-supervised network for road extraction from remote sensing imagery via adversarial | learning | |
| Semisupervised charting for spectral multimodal manifold | learning | and alignment |
| Semisupervised classification for hyperspectral image based on multi-decision labeling and deep feature | learning | |
| Semisupervised Consistent Projection Metric | learning | for Person Reidentification |
| Semisupervised Dictionary | learning | with Graph Regularized and Active Points |
| Semisupervised Discriminant Feature | learning | for SAR Image Category via Sparse Ensemble |
| Semisupervised Hashing via Kernel Hyperplane | learning | for Scalable Image Search |
| Semisupervised Hyperspectral Classification Using Task-Driven Dictionary | learning | With Laplacian Regularization |
| Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active | learning | |
| Semisupervised | learning | for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle |
| Semisupervised | learning | of Classifiers: Theory, Algorithms, and Their Application to Human-Computer Interaction |
| Semisupervised | learning | of Hidden Markov Models via a Homotopy Method |
| Semisupervised | learning | of Hyperspectral Data With Unknown Land-Cover Classes |
| Semisupervised | learning | -Based SAR ATR via Self-Consistent Augmentation |
| Semisupervised manifold | learning | for color transfer between multiview images |
| Semisupervised Multilabel | learning | With Joint Dimensionality Reduction |
| Semisupervised Multitask | learning | |
| Semisupervised Multiview Distance Metric | learning | for Cartoon Synthesis |
| Semisupervised Online Multikernel Similarity | learning | for Image Retrieval |
| Semisupervised Self- | learning | for Hyperspectral Image Classification |
| Semisupervised Spectral | learning | With Generative Adversarial Network for Hyperspectral Anomaly Detection |
| SemStyle: | learning | to Generate Stylised Image Captions Using Unaligned Text |
| Sen1Floods11: a georeferenced dataset to train and test deep | learning | flood algorithms for Sentinel-1 |
| Sen: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-shot | learning | Networks |
| SensatUrban: | learning | Semantics from Urban-Scale Photogrammetric Point Clouds |
| SENSE: Self-Evolving | learning | for Self-Supervised Monocular Depth Estimation |
| Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep | learning | |
| SensitiveNets: | learning | Agnostic Representations with Application to Face Images |
| Sensitivity Analysis and | learning | Strategies for Context-Based Vehicle Detection Algorithms |
| Sensitivity Analysis of Machine | learning | Models for the Mass Appraisal of Real Estate. Case Study of Residential Units in Nicosia, Cyprus |
| Sensor Agnostic Semantic Segmentation of Structurally Diverse and Complex Forest Point Clouds Using Deep | learning | |
| Sensor Fusion and Multimodal | learning | for Robotic Grasp Verification Using Neural Networks |
| Sensor-Independent Hyperspectral Target Detection With Semisupervised Domain Adaptive Few-Shot | learning | |
| Sensorimotor Action Sequence | learning | with Application to Face Recognition Under Discourse |
| Sensors, Features, and Machine | learning | for Oil Spill Detection and Monitoring: A Review |
| Sentiment Similarity-oriented Attention Model with Multi-task | learning | for Text-based Emotion Recognition, A |
| Sentinel SAR-optical fusion for crop type mapping using deep | learning | and Google Earth Engine |
| Sentinel-1 SAR Images and Deep | learning | for Water Body Mapping |
| Sentinel-1 to NDVI for Agricultural Fields Using Hyperlocal Dynamic Machine | learning | Approach |
| Sentinel-2 and Spot-7 Images in Machine | learning | Frameworks for Super-resolution |
| Sentinel-2 Image Scene Classification: A Comparison between Sen2Cor and a Machine | learning | Approach |
| Sentinel-2A Image Fusion Using a Machine | learning | Approach |
| Separable Dictionary | learning | |
| Separable Flow: | learning | Motion Cost Volumes for Optical Flow Estimation |
| Separable Linear Classifiers for Online | learning | in Appearance Based Object Detection |
| Separating Content from Style Using Adversarial | learning | for Recognizing Text in the Wild |
| Seq-SG2SL: Inferring Semantic Layout From Scene Graph Through Sequence to Sequence | learning | |
| SeqFace: | learning | discriminative features by using face sequences |
| SeqTrack: Sequence to Sequence | learning | for Visual Object Tracking |
| sequence | learning | approach for multiple script identification, A |
| Sequence-to-Sequence Contrastive | learning | for Text Recognition |
| SequenceMorph: A Unified Unsupervised | learning | Framework for Motion Tracking on Cardiac Image Sequences |
| Sequential Active Appearance Model Based on Online Instance | learning | |
| Sequential Adversarial | learning | for Self-Supervised Deep Visual Odometry |
| Sequential Algorithms for Detecting Changes in Acting Stochastic Processes and On-line | learning | of Their Operational Parameters |
| Sequential Boosting for | learning | a Random Forest Classifier |
| Sequential Cross Attention Based Multi-Task | learning | |
| Sequential Dictionary | learning | From Correlated Data: Application to fMRI Data Analysis |
| Sequential EM | learning | for subspace analysis |
| Sequential Gesture | learning | for Continuous Labanotation Generation Based on the Fusion of Graph Neural Networks |
| Sequential Graph Convolutional Network for Active | learning | |
| Sequential | learning | Employing Unfamiliar Teacher Hypotheses (SLEUTH) with Concurrent Estimation of Both the Parameters and Teacher Characteristics |
| Sequential | learning | for Cross-Modal Retrieval |
| Sequential | learning | for Ingredient Recognition From Images |
| Sequential | learning | Method For Boundary Detection, A |
| Sequential | learning | of Layered Models from Video |
| Sequential Spectral | learning | to Hash with Multiple Representations |
| Sequential vs. batch machine- | learning | with evolutionary hyperparameter optimization for segmenting aortic dissection thrombus |
| SeqViews2SeqLabels: | learning | 3D Global Features via Aggregating Sequential Views by RNN With Attention |
| SeqXY2SeqZ: Structure | learning | for 3d Shapes by Sequentially Predicting 1D Occupancy Segments from 2d Coordinates |
| Serialized Recommendation Prediction for Steering Point Behavior of Intelligent Transportation Vehicles Based on Deep | learning | |
| SeSe-Net: Self-Supervised deep | learning | for segmentation |
| Set-Based Feature | learning | for Person Re-identification via Third-Party Images |
| Set-Supervised Action | learning | in Procedural Task Videos via Pairwise Order Consistency |
| Set2Model Networks: | learning | Discriminatively to Learn Generative Models |
| SetVAE: | learning | Hierarchical Composition for Generative Modeling of Set-Structured Data |
| Severe Thunderstorm Detection by Visual | learning | Using Satellite Images |
| Severely Blurred Object Tracking by | learning | Deep Image Representations |
| Severity detection and infection level identification of tuberculosis using deep | learning | |
| Severity grading of psoriatic plaques using deep CNN based multi-task | learning | |
| SFincBuster: Spoofed fingerprint buster via incremental | learning | using leverage bagging classifier |
| SfMLearner++: | learning | Monocular Depth Ego-Motion Using Meaningful Geometric Constraints |
| SFNet: | learning | Object-Aware Semantic Correspondence |
| SfSNet: | learning | Shape, Reflectance and Illuminance of Faces in the Wild |
| SG-FCN: A Motion and Memory-Based Deep | learning | Model for Video Saliency Detection |
| SGA-Net: A Sparse Graph Attention Network for Two-View Correspondence | learning | |
| SGMNet: | learning | Rotation-Invariant Point Cloud Representations via Sorted Gram Matrix |
| Shade: Information-Based Regularization for Deep | learning | |
| Shadow Detection and Reconstruction in High-Resolution Satellite Images via Morphological Filtering and Example-Based | learning | |
| Shadow Removal with Paired and Unpaired | learning | |
| Shadow-Consistent Semi-Supervised | learning | for Prostate Ultrasound Segmentation |
| Shall deep | learning | be the mandatory future of document analysis problems? |
| Shallow Bayesian Meta | learning | for Real-World Few-Shot Recognition |
| Shallow Classification or Deep | learning | : An Experimental Study |
| Shallow Landslide Prediction Using a Novel Hybrid Functional Machine | learning | Algorithm |
| Shallow | learning | Investigation for COVID-19 Classification, A |
| Shallow Water Bathymetry Mapping from Uav Imagery Based On Machine | learning | |
| Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer | learning | under Extreme Memory and Computation Budgets |
| Shape Adaptive Neighborhood Information-Based Semi-Supervised | learning | for Hyperspectral Image Classification |
| Shape Alignment by | learning | a Landmark-PDM Coupled Model |
| shape aware model for semi-supervised | learning | of objects and its context, A |
| Shape Based | learning | for a Multi-Template Method, and Its Application to Handprinted Numeral Recognition |
| Shape classification through structured | learning | of matching measures |
| Shape Constraints in Deep | learning | for Robust 2D Echocardiography Analysis |
| Shape Enhanced Keypoints | learning | with Geometric Prior for 6D Object Pose Tracking |
| Shape from Motion, | learning | , Neural Nets |
| Shape from Recognition and | learning | : Recovery of 3D Face Shapes |
| Shape grammar parsing via Reinforcement | learning | |
| Shape | learning | with Function-Described Graphs |
| Shape of | learning | Curves: A Review, The |
| Shape Priors and Online Appearance | learning | for Variational Segmentation and Object Recognition in Static Scenes |
| Shape Priors using Manifold | learning | Techniques |
| Shape recognition by distributed recursive | learning | of multiscale trees |
| Shape Reconstruction by | learning | Differentiable Surface Representations |
| Shape retrieval based on manifold | learning | by fusion of dissimilarity measures |
| Shape-Analysis Using Hybrid | learning | |
| Shape-Based Approach for Salient Object Detection Using Deep | learning | , A |
| Shape-based object recognition by inductive | learning | |
| Shape-Conditioned Image Generation by | learning | Latent Appearance Representation from Unpaired Data |
| Shape-Erased Feature | learning | for Visible-Infrared Person Re-Identification |
| Shape-included label-consistent discriminative dictionary | learning | : An approach to detect and segment multi-class objects in images |
| ShapeClipper: Scalable 3D Shape | learning | from Single-View Images via Geometric and CLIP-Based Consistency |
| ShapeCodes: Self-supervised Feature | learning | by Lifting Views to Viewgrids |
| Shapeglot: | learning | Language for Shape Differentiation |
| ShapeMask: | learning | to Segment Novel Objects by Refining Shape Priors |
| ShapeOdds: Variational Bayesian | learning | of Generative Shape Models |
| ShapeStacks: | learning | Vision-Based Physical Intuition for Generalised Object Stacking |
| Shapley Deep | learning | : A Consensus for General-Purpose Vision Systems |
| Sharable and Individual Multi-View Metric | learning | |
| Shared Blocks-Based Ensemble Deep | learning | for Shallow Landslide Susceptibility Mapping |
| Shared Coupling-Bridge Scheme for Weakly Supervised Local Feature | learning | |
| Shared Multi-Attention Framework for Multi-Label Zero-Shot | learning | , A |
| Shared Prior | learning | of Energy-Based Models for Image Reconstruction |
| Shared representation | learning | for heterogenous face recognition |
| Shared-Specific Feature | learning | With Bottleneck Fusion Transformer for Multi-Modal Whole Slide Image Analysis |
| sharing deep reinforcement | learning | method for efficient vehicle platooning control, A |
| Sharing Matters for Generalization in Deep Metric | learning | |
| Sharpen Focus: | learning | With Attention Separability and Consistency |
| SharpFormer: | learning | Local Feature Preserving Global Representations for Image Deblurring |
| Shatter and Gather: | learning | Referring Image Segmentation with Text Supervision |
| Shedding light on the asymmetric | learning | capability of AdaBoost |
| Shepherding Slots to Objects: Towards Stable and Robust Object-Centric | learning | |
| SHERLock: Self-Supervised Hierarchical Event Representation | learning | |
| Ship Classification Based on MSHOG Feature and Task-Driven Dictionary | learning | with Structured Incoherent Constraints in SAR Images |
| Ship Classification in Medium-Resolution SAR Images via Densely Connected Triplet CNNs Integrating Fisher Discrimination Regularized Metric | learning | |
| Ship Classification in SAR Images With Geometric Transfer Metric | learning | |
| Ship Classification in Synthetic Aperture Radar Images Based on Multiple Classifiers Ensemble | learning | and Automatic Identification System Data Transfer Learning |
| Ship Classification in Synthetic Aperture Radar Images Based on Multiple Classifiers Ensemble | learning | and Automatic Identification System Data Transfer Learning |
| Ship Detection for PolSAR Images via Task-Driven Discriminative Dictionary | learning | |
| Ship Detection in Sentinel 2 Multi-Spectral Images with Self-Supervised | learning | |
| Ship Detection with Deep | learning | in Optical Remote-Sensing Images: A Survey of Challenges and Advances |
| Ship Formation Identification with Spatial Features and Deep | learning | for HFSWR |
| Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep | learning | |
| Ship identification from SAR image using novel deep | learning | method with reduced false prediction |
| Ship Rotation Detection Model in Remote Sensing Images Based on Feature Fusion Pyramid Network and Deep Reinforcement | learning | , A |
| Short-term FFBS demand prediction with multi-source data in a hybrid deep | learning | framework |
| Short-Term Intensity Prediction of Tropical Cyclones Based on Multi-Source Data Fusion with Adaptive Weight | learning | |
| Short-Term Prediction of Passenger Demand in Multi-Zone Level: Temporal Convolutional Neural Network With Multi-Task | learning | |
| Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised | learning | |
| Short-Term Traffic Flow Prediction Based on Graph Convolutional Networks and Federated | learning | |
| Short-term traffic flow prediction of road network based on deep | learning | |
| Short-Term Traffic Flow Prediction: An Integrated Method of Econometrics and Hybrid Deep | learning | |
| Shot Contrastive Self-Supervised | learning | for Scene Boundary Detection |
| Shot in the Dark: Few-Shot | learning | with No Base-Class Labels |
| Show and Recall: | learning | What Makes Videos Memorable |
| Show and Tell in the Loop: Cross-Modal Circular Correlation | learning | |
| Show, Match and Segment: Joint Weakly Supervised | learning | of Semantic Matching and Object Co-Segmentation |
| Shrinkage Expansion Adaptive Metric | learning | |
| Shrinkage | learning | Approach for Single Image Super-Resolution with Overcomplete Representations, A |
| Shrinking Class Space for Enhanced Certainty in Semi-Supervised | learning | |
| Shrinking Encoding with Two-Level Codebook | learning | for Fine-Grained Fish Recognition |
| SHS-Net: | learning | Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds |
| Shuffle and Divide: Contrastive | learning | for Long Text |
| Shuffle and Learn: Unsupervised | learning | Using Temporal Order Verification |
| Shuffle Attention Multiple Instances | learning | for Breast Cancer Whole Slide Image Classification |
| Shuffle-Then-Assemble: | learning | Object-Agnostic Visual Relationship Features |
| SiamCLIM: Text-Based Pedestrian Search Via Multi-Modal Siamese Contrastive | learning | |
| Siamese CNN-based rank | learning | for quality assessment of inpainted images |
| Siamese Contrastive Embedding Network for Compositional Zero-Shot | learning | |
| Siamese Graph | learning | for Semi-Supervised Age Estimation |
| Siamese Image Modeling for Self-Supervised Vision Representation | learning | |
| Siamese KPConv: 3D multiple change detection from raw point clouds using deep | learning | |
| Siamese Network Representation for Active | learning | |
| Siamese networks with an online reweighted example for imbalanced data | learning | |
| Siamese self-supervised | learning | for fine-grained visual classification |
| Siamese-GAN: | learning | Invariant Representations for Aerial Vehicle Image Categorization |
| SiamFPN: A Deep | learning | Method for Accurate and Real-Time Maritime Ship Tracking |
| SiamHRnet-OCR: A Novel Deforestation Detection Model with High-Resolution Imagery and Deep | learning | |
| SiamHYPER: | learning | a Hyperspectral Object Tracker From an RGB-Based Tracker |
| SICNet: | learning | selective inter-slice context via Mask-Guided Self-knowledge distillation for NPC segmentation |
| SID: Incremental | learning | for anchor-free object detection via Selective and Inter-related Distillation |
| Side Information and Noise | learning | for Distributed Video Coding Using Optical Flow and Clustering |
| Sidekick Policy | learning | for Active Visual Exploration |
| SideNet: | learning | representations from interactive side information for zero-shot Chinese character recognition |
| SIDGAN: High-Resolution Dubbed Video Generation via Shift-Invariant | learning | |
| SIF: Self-Inspirited Feature | learning | for Person Re-Identification |
| Sift-guided Saliency-based Augmentation for Weed Detection in Grassland Images: Fusing Classic Computer Vision with Deep | learning | |
| Sig-NMS-Based Faster R-CNN Combining Transfer | learning | for Small Target Detection in VHR Optical Remote Sensing Imagery |
| Sign-Agnostic Implicit | learning | of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds |
| Sign-based | learning | schemes for pattern classification |
| Signal Processing and Machine | learning | Techniques for Terahertz Sensing: An overview |
| Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric | learning | |
| Signature Embedding: Writer Independent Offline Signature Verification with Deep Metric | learning | |
| Signed Graph Metric | learning | via Gershgorin Disc Perfect Alignment |
| significance of border training patterns in classification by a feedforward neural network using back propagation | learning | , The |
| Significance of Softmax-Based Features in Comparison to Distance Metric | learning | -Based Features |
| Significant Improvement in Soil Organic Carbon Estimation Using Data-Driven Machine | learning | Based on Habitat Patches |
| Significative | learning | Using Alpha-beta Associative Memories |
| Signing at Scale: | learning | to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production |
| SignNet: Single Channel Sign Generation using Metric Embedded | learning | |
| SILA: An Incremental | learning | Approach for Pedestrian Trajectory Prediction |
| Silhouette Analysis for Human Action Recognition Based on Supervised Temporal t-SNE and Incremental | learning | |
| Silhouette-based gait recognition via deterministic | learning | |
| SILT: Shadow-aware Iterative Label Tuning for | learning | to Detect Shadows from Noisy Labels |
| Sim2real Transfer | learning | for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly |
| SimAN: Exploring Self-Supervised Representation | learning | of Scene Text via Similarity-Aware Normalization |
| SimAug: | learning | Robust Representations from Simulation for Trajectory Prediction |
| SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation | learning | |
| Similar Class Style Augmentation for Efficient Cross-Domain Few-Shot | learning | |
| Similar Handwritten Chinese Character Recognition Using Discriminative Locality Alignment Manifold | learning | |
| Similar Pattern Discrimination by Filter Mask | learning | with Probabilistic Descent |
| Similarity Contrastive Estimation for Self-Supervised Soft Contrastive | learning | |
| Similarity | learning | Approach to Content-Based Image Retrieval: Application to Digital Mammography, A |
| Similarity | learning | based Few Shot Learning for ECG Time Series Classification |
| Similarity | learning | based Few Shot Learning for ECG Time Series Classification |
| Similarity | learning | for 3D Object Retrieval Using Relevance Feedback and Risk Minimization |
| Similarity | learning | for graph-based image representations |
| Similarity | learning | Networks for Animal Individual Re-Identification: Beyond the Capabilities of a Human Observer |
| Similarity | learning | on an explicit polynomial kernel feature map for person re-identification |
| Similarity | learning | with deep CRF for person re-identification |
| Similarity | learning | with joint transfer constraints for person re-identification |
| Similarity | learning | with Listwise Ranking for Person Re-Identification |
| Similarity | learning | with Spatial Constraints for Person Re-identification |
| Similarity | learning | with Top-heavy Ranking Loss for Person Re-identification |
| Similarity measure and | learning | with gray level aura matrices (GLAM) for texture image retrieval |
| Similarity measure | learning | for image retrieval using binary component discriminating function |
| Similarity Metric | learning | for 2D to 3D Registration of Brain Vasculature |
| Similarity Metric | learning | for Face Recognition |
| Similarity metric | learning | for face verification using sigmoid decision function |
| Similarity Metric | learning | For RGB-Infrared Group Re-Identification |
| Similarity Retention Loss (SRL) Based on Deep Metric | learning | for Remote Sensing Image Retrieval |
| Similarity- and Quality-Guided Relation | learning | for Joint Detection and Tracking |
| Similarity-Aware and Variational Deep Adversarial | learning | for Robust Facial Age Estimation |
| Similarity-based regularization for semi-supervised | learning | for handwritten digit recognition |
| Similarity-Based Unsupervised Deep Transfer | learning | for Remote Sensing Image Retrieval |
| SimMatch: Semi-supervised | learning | with Similarity Matching |
| SimMatchV2: Semi-Supervised | learning | with Graph Consistency |
| SimNP: | learning | Self-Similarity Priors Between Neural Points |
| Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement | learning | |
| Simple and Effective Framework for Pairwise Deep Metric | learning | , A |
| Simple Approach to Intrinsic Correspondence | learning | on Unstructured 3D Meshes, A |
| Simple contrastive | learning | in a self-supervised manner for robust visual question answering |
| Simple Data Mixing Prior for Improving Self-Supervised | learning | , A |
| simple deep | learning | based image illumination correction method for paintings, A |
| Simple Ensemble of Extreme | learning | Machine |
| Simple Hybrid Method for Semi-supervised | learning | , A |
| simple | learning | decision algorithm for character recognition and pattern classification, A |
| Simple Multi-Modality Transfer | learning | Baseline for Sign Language Translation, A |
| Simple Multi-Resolution Representation | learning | for Human Pose Estimation |
| Simple Parallel EM Algorithm for Statistical | learning | via Mixture Models, A |
| Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot | learning | |
| Simple Self-Distillation | learning | for Noisy Image Classification |
| Simple Stochastic Algorithm for Structural Features | learning | , A |
| Simple to complex cross-modal | learning | to rank |
| Simple to Complex Transfer | learning | for Action Recognition |
| Simple Triplet Loss Based on Intra/Inter-Class Metric | learning | for Face Verification |
| Simple yet Effective Model for Zero-Shot | learning | , A |
| Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance | learning | |
| SimpleZSL: Extremely Simple and Fast Zero-Shot | learning | with Nearest Neighbor Classifiers |
| Simplified spiking neural network architecture and STDP | learning | algorithm applied to image classification |
| Simplifying open-set video domain adaptation with contrastive | learning | |
| Simpose: Effectively | learning | Densepose and Surface Normals of People from Simulated Data |
| Simulated Photorealistic Deep | learning | Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research |
| Simulating Task-Free Continual | learning | Streams From Existing Datasets |
| Simulation and Driving Factor Analysis of Satellite-Observed Terrestrial Water Storage Anomaly in the Pearl River Basin Using Deep | learning | |
| Simulation of Postoperative Facial Appearances via Geometric Deep | learning | for Efficient Orthognathic Surgical Planning |
| Simulations of Snowmelt Runoff in a High-Altitude Mountainous Area Based on Big Data and Machine | learning | Models: Taking the Xiying River Basin as an Example |
| Simultaneous Active | learning | of Classifiers: Attributes via Relative Feedback |
| Simultaneous and Causal Appearance | learning | and Tracking |
| Simultaneous Context Feature | learning | and Hashing for Large Scale Loop Closure Detection |
| Simultaneous Detection of Multiple Facial Action Units via Hierarchical Task Structure | learning | |
| Simultaneous discriminative projection and dictionary | learning | for sparse representation based classification |
| Simultaneous Edge Alignment and | learning | |
| Simultaneous Estimation of Dish Locations and Calories with Multi-Task | learning | |
| Simultaneous Feature Aggregating and Hashing for Compact Binary Code | learning | |
| Simultaneous Feature and Dictionary | learning | for Image Set Based Face Recognition |
| Simultaneous Feature and Dictionary | learning | for Image Set Based Face Recognition |
| Simultaneous feature | learning | and hash coding with deep neural networks |
| Simultaneous Fidelity and Regularization | learning | for Image Restoration |
| Simultaneous Graph | learning | and Blind Separation of Graph Signal Sources |
| Simultaneous Ground Metric | learning | and Matrix Factorization with Earth Mover's Distance |
| Simultaneous Inpainting and Super-resolution Using Self- | learning | |
| Simultaneous | learning | and Alignmennt: Multi-Instance and Multi-Pose Learning |
| Simultaneous | learning | and Alignmennt: Multi-Instance and Multi-Pose Learning |
| Simultaneous | learning | and Compression for Convolution Neural Networks |
| simultaneous | learning | framework for clustering and classification, A |
| Simultaneous | learning | of a discriminative projection and prototypes for Nearest-Neighbor classification |
| Simultaneous | learning | of Affinity Matrix and Laplacian Regularized Least Squares for Semi-Supervised Classification |
| Simultaneous | learning | of Decision Rules and Important Attributes for Classification Problems in Image-Analysis |
| Simultaneous | learning | of Localized Multiple Kernels and Classifier with Weighted Regularization |
| Simultaneous | learning | of motion and appearance |
| Simultaneous | learning | of Nonlinear Manifold and Dynamical Models for High-dimensional Time Series |
| Simultaneous Local Binary Feature | learning | and Encoding for Face Recognition |
| Simultaneous Local Binary Feature | learning | and Encoding for Homogeneous and Heterogeneous Face Recognition |
| Simultaneous Recognition and Modeling for | learning | 3-D Object Models From Everyday Scenes |
| Simultaneous Robust Matching Pursuit for Multi-View | learning | |
| Simultaneous Semi-Coupled Dictionary | learning | for Matching in Canonical Space |
| Simultaneous Semi-Coupled Dictionary | learning | for Matching RGBD Data |
| Simultaneous Sparse Bayesian | learning | With Partially Shared Supports |
| Simultaneous Twin Kernel | learning | Using Polynomial Transformations for Structured Prediction |
| Simultaneously | learning | to recognize and control a low-cost robotic arm |
| Simurgh: A Framework for CAD-Driven Deep | learning | Based X-Ray CT Reconstruction |
| SINC: Self-Supervised In-Context | learning | for Vision-Language Tasks |
| SinGAN-GIF: | learning | a Generative Video Model from a Single GIF |
| SinGAN: | learning | a Generative Model From a Single Natural Image |
| Single and sparse view 3D reconstruction by | learning | shape priors |
| Single Array Approach for Infrasound Signal Discrimination from Quarry Blasts via Machine | learning | , A |
| Single Face Image Super-Resolution via Solo Dictionary | learning | |
| Single Frame Super-Resolution: A New | learning | Based Approach and Use of IGMRF Prior |
| Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive | learning | |
| Single image based 3D human pose estimation via uncertainty | learning | |
| Single Image Brightening via Multi-Scale Exposure Fusion With Hybrid | learning | |
| Single image deblurring with adaptive dictionary | learning | |
| Single Image Defogging via Recurrent Bilateral | learning | |
| Single Image Dehazing via Model-Based Deep- | learning | |
| Single Image Deraining via Two Stages: Bilateral | learning | and Feature Decoupling |
| Single Image HDR Synthesis with Histogram | learning | |
| Single Image Object Counting and Localizing using Active- | learning | |
| Single Image Object Modeling Based on BRDF and r-Surfaces | learning | |
| Single Image Rain Removal Model Using Pure Rain Dictionary | learning | |
| Single image super-resolution based on space structure | learning | |
| Single Image Super-Resolution via Adaptive Transform-Based Nonlocal Self-Similarity Modeling and | learning | -Based Gradient Regularization |
| Single image super-resolution via projective dictionary | learning | with anchored neighborhood regression |
| Single image super-resolution with dilated convolution based multi-scale information | learning | inception module |
| Single Image Super-Resolution With | learning | Iteratively Non-Linear Mapping Between Low- and High-Resolution Sparse Representations |
| Single Model Deep | learning | on Imbalanced Small Datasets for Skin Lesion Classification |
| Single shot active | learning | using pseudo annotators |
| Single trial variability in brain-computer interfaces based on motor imagery: | learning | in the presence of labeling noise |
| Single underwater image haze removal with a | learning | -based approach to blurriness estimation |
| Single View 3D Reconstruction, | learning | |
| Single View Facial Age Estimation Using Deep | learning | with Cascaded Random Forests |
| Single View | learning | in Action Recognition |
| Single-example | learning | of novel classes using representation by similarity |
| Single-Frame Image Super-resolution through Contourlet | learning | |
| Single-image crowd counting: a comparative survey on deep | learning | -based approaches |
| Single-Image HDR Reconstruction by | learning | to Reverse the Camera Pipeline |
| Single-Image Rain Removal Using Residual Deep | learning | |
| Single-Loss Multi-task | learning | For Improving Semantic Segmentation Using Super-Resolution |
| Single-modal Incremental Terrain Clustering from Self-Supervised Audio-Visual Feature | learning | |
| Single-Stage Instance Shadow Detection with Bidirectional Relation | learning | |
| Single-View Food Portion Estimation: | learning | Image-to-Energy Mappings Using Generative Adversarial Networks |
| SingleGAN: Image-to-Image Translation by a Single-Generator Network Using Multiple Generative Adversarial | learning | |
| SinGRAF: | learning | a 3D Generative Radiance Field for a Single Scene |
| SIPs: Succinct Interest Points from Unsupervised Inlierness Probability | learning | |
| SISL:Self-Supervised Image Signature | learning | for Splicing Detection & Localization |
| SISLU-Net: Spatial Information-Assisted Spectral Information | learning | Unmixing Network for Hyperspectral Images |
| SIT-SR 3D: Self-supervised slice interpolation via transfer | learning | for 3D volume super-resolution |
| Site Selection of Digital Signage in Beijing: A Combination of Machine | learning | and an Empirical Approach |
| Site Selection Prediction for Coffee Shops Based on Multi-Source Space Data Using Machine | learning | Techniques |
| Site Selection via | learning | Graph Convolutional Neural Networks: A Case Study of Singapore |
| Sizer: A Dataset and Model for Parsing 3d Clothing and | learning | Size Sensitive 3d Clothing |
| Skeletal Age Estimation from Hand Radiographs Using Ensemble Deep | learning | |
| Skeleton Cloud Colorization for Unsupervised 3D Action Representation | learning | |
| Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack | learning | network |
| Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack | learning | |
| Skeleton-based deep pose feature | learning | for action quality assessment on figure skating videos |
| Skeleton-Based Typing Style | learning | For Person Identification |
| Skeleton-Bridged Deep | learning | Approach for Generating Meshes of Complex Topologies From Single RGB Images, A |
| Skeleton-DML: Deep Metric | learning | for Skeleton-Based One-Shot Action Recognition |
| SkeletonNet: A Hybrid Network With a Skeleton-Embedding Process for Multi-View Image Representation | learning | |
| SkeletonNet: A Topology-Preserving Solution for | learning | Mesh Reconstruction of Object Surfaces From RGB Images |
| Skelevision: Towards Adversarial Resiliency of Person Tracking with Multi-task | learning | |
| Sketch Based Image Retrieval Via Image-Aided Cross Domain | learning | |
| Sketch Fewer to Recognize More by | learning | a Co-Regularized Sparse Representation |
| Sketch-based 3D shape retrieval via teacher-student | learning | |
| Sketch-BERT: | learning | Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt |
| Sketch-BERT: | learning | Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt |
| Sketch-Oriented Deep | learning | |
| Sketch2Saliency: | learning | to Detect Salient Objects from Human Drawings |
| SketchBird: | learning | to Generate Bird Sketches from Text |
| SketchDesc: | learning | Local Sketch Descriptors for Multi-View Correspondence |
| Sketched | learning | for Image Denoising |
| SketchTrans: Disentangled Prototype | learning | With Transformer for Sketch-Photo Recognition |
| Skill-Based Hierarchical Reinforcement | learning | for Target Visual Navigation |
| Skillful Seasonal Prediction of Typhoon Track Density Using Deep | learning | |
| Skin cancer classification using improved transfer | learning | model-based random forest classifier and golden search optimization |
| Skin Cancer Diagnosis Using an Improved Ensemble Machine | learning | model |
| Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine | learning | |
| Skin lesion segmentation in clinical images using deep | learning | |
| SkinXNet: A DoG-based Model for Automatic Detection of Skin Lesion using Deep | learning | |
| Skip Residual Pairwise Networks With Learnable Comparative Functions for Few-Shot | learning | |
| Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space | learning | |
| SkipNet: | learning | Dynamic Routing in Convolutional Networks |
| SL-DML: Signal Level Deep Metric | learning | for Multimodal One-Shot Action Recognition |
| SLAC: Statistical total lesion metabolic activity computation by fuzzy unsupervised | learning | of PET images |
| SLACK: Stable | learning | of Augmentations with Cold-Start and KL Regularization |
| SLADE: A Self-Training Framework For Distance Metric | learning | |
| SLCA: Slow Learner with Classifier Alignment for Continual | learning | on a Pre-trained Model |
| SLCRF: Subspace | learning | With Conditional Random Field for Hyperspectral Image Classification |
| Sleep Apnea Detection via Depth Video and Audio Feature | learning | |
| Sleep Deprivation Detection for Real-Time Driver Monitoring Using Deep | learning | |
| SLIC: Self-Supervised | learning | with Iterative Clustering for Human Action Videos |
| Sliced Wasserstein Distance for | learning | Gaussian Mixture Models |
| Slide deep reinforcement | learning | networks: Application for left ventricle segmentation |
| SlideSim: 3D Landslide Displacement Monitoring through a Physics-Based Simulation Approach to Self-Supervised | learning | |
| Slightly Supervised | learning | of Part-Based Appearance Models |
| Slim DensePose: Thrifty | learning | From Sparse Annotations and Motion Cues |
| SliNet: Slicing-Aided | learning | for Small Object Detection |
| SLMOML: Online Metric | learning | With Global Convergence |
| Slope Failure Prediction Using Random Forest Machine | learning | and LiDAR in an Eroded Folded Mountain Belt |
| Slope Structural Plane Extraction Method Based on Geo-AINet Ensemble | learning | with UAV Images, A |
| Slot-VPS: Object-centric Representation | learning | for Video Panoptic Segmentation |
| SLPR: A Deep | learning | Based Chinese Ship License Plate Recognition Framework |
| SLRL4D: Joint Restoration of Subspace Low-Rank | learning | and Non-Local 4-D Transform Filtering for Hyperspectral Image |
| SMAE: Few-shot | learning | for HDR Deghosting with Saturation-Aware Masked Autoencoders |
| small object detection algorithm based on feature interaction and guided | learning | , A |
| Small Object Detection Based on Deep | learning | for Remote Sensing: A Comprehensive Review |
| Small Object Detection by Generative and Discriminative | learning | |
| Small Object Detection via Coarse-to-fine Proposal Generation and Imitation | learning | |
| Small Sample Deep | learning | for Newborn Gestational Age Estimation |
| Small Sample | learning | during Multimedia Retrieval Using BiasMap |
| Small Steps and Giant Leaps: Minimal Newton Solvers for Deep | learning | |
| Small-Sample Seabed Sediment Classification Based on Deep | learning | |
| Small-Sized Ship Detection Nearshore Based on Lightweight Active | learning | Model with a Small Number of Labeled Data for SAR Imagery |
| Smallholder Crop Area Mapped with a Semantic Segmentation Deep | learning | Method |
| Smart City Development With Urban Transfer | learning | |
| Smart Count System Based on Object Detection Using Deep | learning | |
| Smart | learning | of Click and Refine for Nuclei Segmentation on Histology Images |
| Smart Mining for Deep Metric | learning | |
| Smart Tour Route Planning Algorithm Based on Naive Bayes Interest Data Mining Machine | learning | |
| Smart Underwater Pollution Detection Based on Graph-Based Multi-Agent Reinforcement | learning | Towards AUV-Based Network ITS |
| Smart Urban Cadastral Map Enrichment: A Machine | learning | Method |
| Smart- | learning | Networked Controllers for Centralized Air-Conditioning Systems Using Model-View-Controller Model |
| SmartAssign: | learning | A Smart Knowledge Assignment Strategy for Deraining and Desnowing |
| Smartphone Transportation Mode Recognition Using a Hierarchical Machine | learning | Classifier and Pooled Features From Time and Frequency Domains |
| SmartTalk: A | learning | -Based Framework for Natural Human-Robot Interaction |
| SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement | learning | |
| Smile Detection in the Wild Based on Transfer | learning | |
| SML: Semantic meta- | learning | for few-shot semantic segmentation? |
| Smooth Incremental | learning | of Correlation Filters for Visual Tracking |
| Smooth Neighbors on Teacher Graphs for Semi-Supervised | learning | |
| Smoothing group L1/2 regularized discriminative broad | learning | system for classification and regression |
| SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep | learning | |
| SMPLR: Deep | learning | based SMPL reverse for 3D human pose and shape recovery |
| Snapshot High Dynamic Range Imaging via Sparse Representations and Feature | learning | |
| SnapshotNet: Self-supervised feature | learning | for point cloud data segmentation using minimal labeled data |
| SNeS: | learning | Probably Symmetric Neural Surfaces from Incomplete Data |
| Snow Coverage Mapping by | learning | from Sentinel-2 Satellite Multispectral Images via Machine Learning Algorithms |
| Snow Coverage Mapping by | learning | from Sentinel-2 Satellite Multispectral Images via Machine Learning Algorithms |
| Snow Depth Fusion Based on Machine | learning | Methods for the Northern Hemisphere |
| Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised | learning | on Very Small Labeled Datasets |
| Snowmelt Flood Susceptibility Assessment in Kunlun Mountains Based on the Swin Transformer Deep | learning | Method |
| SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised | learning | |
| SO-softmax loss for discriminable embedding | learning | in CNNs |
| Soccer Video Event Detection Based on Deep | learning | |
| Social Groups Detection in Crowd through Shape-Augmented Structured | learning | |
| Social Media Data Processing and Analysis By Means of Machine | learning | For Rapid Detection, Assessment and Mapping the Impact of Disasters |
| Social NCE: Contrastive | learning | of Socially-aware Motion Representations |
| Social Processes: Self-supervised Meta- | learning | Over Conversational Groups for Forecasting Nonverbal Social Cues |
| Social sensing from street-level imagery: A case study in | learning | spatio-temporal urban mobility patterns |
| Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement | learning | |
| Social-Aware Movie Recommendation via Multimodal Network | learning | |
| Social-SSL: Self-supervised Cross-Sequence Representation | learning | Based on Transformers for Multi-agent Trajectory Prediction |
| Socialized Mobile Photography: | learning | to Photograph With Social Context via Mobile Devices |
| Socially Constrained Structural | learning | for Groups Detection in Crowd |
| Socially-driven multi-interaction attentive group representation | learning | for group recommendation |
| SODA: Weakly Supervised Temporal Action Localization Based on Astute Background Response and Self-Distillation | learning | |
| SODAR: Exploring Locally Aggregated | learning | of Mask Representations for Instance Segmentation |
| Soft Expert Reward | learning | for Vision-and-Language Navigation |
| soft nearest-neighbor framework for continual semi-supervised | learning | , A |
| Soft Pseudo-labeling Semi-supervised | learning | Applied to Fine-grained Visual Classification |
| Soft Transfer | learning | via Gradient Diagnosis for Visual Relationship Detection |
| Soft Weight Pruning for Cross-Domain Few-Shot | learning | With Unlabeled Target Data |
| Soft-Cascade | learning | with Explicit Computation Time Considerations |
| Soft-Margin | learning | for Multiple Feature-Kernel Combinations with Domain Adaptation, for Recognition in Surveillance Face Datasets |
| Softmax-Free Loss Function Based on Predefined Optimal-Distribution of Latent Features for Deep | learning | Classifier, A |
| Softmesh: | learning | Probabilistic Mesh Connectivity via Image Supervision |
| SoftTriple Loss: Deep Metric | learning | Without Triplet Sampling |
| Software Escalation Prediction Based on Deep | learning | in the Cognitive Internet of Vehicles |
| Software-Defined Vehicular Networks With Trust Management: A Deep Reinforcement | learning | Approach |
| Soil Classification Mapping Using a Combination of Semi-Supervised Classification and Stacking | learning | (SSC-SL) |
| Soil Moisture Content Retrieval from Landsat 8 Data Using Ensemble | learning | |
| Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography via Deep | learning | |
| Soil Salinity Mapping Using Machine | learning | Algorithms with the Sentinel-2 MSI in Arid Areas, China |
| Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine | learning | Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam) |
| Soil-Permittivity Estimation Under Grassland Using Machine- | learning | and Polarimetric Decomposition Techniques |
| Solar Flare Forecasting with Deep | learning | -based Time Series Classifiers |
| Solving Inefficiency of Self-supervised Representation | learning | |
| Solving the Security Problem of Intelligent Transportation System With Deep | learning | |
| Some Ethical Remarks on Deep | learning | -Based Movements Monitoring for Preterm Infants: Green AI or Red AI? |
| Some | learning | issues in user-specific multimodal biometrics |
| Something Something Video Database for | learning | and Evaluating Visual Common Sense, The |
| Sonar Image Composition for Semantic Segmentation Using Machine | learning | |
| Sonar Image Target Detection Based on Style Transfer | learning | and Random Shape of Noise under Zero Shot Target |
| SOS! Self-supervised | learning | over Sets of Handled Objects in Egocentric Action Recognition |
| SOSNet: Second Order Similarity Regularization for Local Descriptor | learning | |
| Soteria: Provable Defense against Privacy Leakage in Federated | learning | from Representation Perspective |
| Sound and Visual Representation | learning | with Multiple Pretraining Tasks |
| Sound Localization from Motion: Jointly | learning | Sound Direction and Camera Rotation |
| Sound Speed Inversion Based on Multi-Source Ocean Remote Sensing Observations and Machine | learning | |
| Source Aware Deep | learning | Framework for Hand Kinematic Reconstruction Using EEG Signal |
| Source code author identification with unsupervised feature | learning | |
| Source Free Semi-Supervised Transfer | learning | for Diagnosis of Mental Disorders on fMRI Scans |
| Source-Free Object Detection by | learning | to Overlook Domain Style |
| Source-Free Progressive Graph | learning | for Open-Set Domain Adaptation |
| Source-Free Video Domain Adaptation by | learning | Temporal Consistency for Action Recognition |
| Source-Free Video Domain Adaptation with Spatial-Temporal-Historical Consistency | learning | |
| Soya Yield Prediction on a Within-Field Scale Using Machine | learning | Models Trained on Sentinel-2 and Soil Data |
| Soybean seed composition prediction from standing crops using PlanetScope satellite imagery and machine | learning | |
| Space-correlated Contrastive Representation | learning | with Multiple Instances |
| Space-Time Adaptive Processing and Motion Parameter Estimation in Multistatic Passive Radar Using Sparse Bayesian | learning | |
| Space-Time Crop & Attend: Improving Cross-modal Video Representation | learning | |
| Space-Time Guided Association | learning | For Unsupervised Person Re-Identification |
| Space-Time Machine | learning | Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe |
| Space-time Prompting for Video Class-incremental | learning | |
| Space-Time Super-Resolution Using Deep | learning | Based Framework |
| SPACE: A Simulator for Physical Interactions and Causal | learning | in 3D Environments |
| Spaceborne GNSS-R for Sea Ice Classification Using Machine | learning | Classifiers |
| Spaceborne GNSS-R Retrieving on Global Soil Moisture Approached By Support Vector Machine | learning | |
| Spaceborne GNSS-R Wind Speed Retrieval Using Machine | learning | Methods |
| Spacecraft Time-Series Anomaly Detection Using Transfer | learning | |
| SpaceEdit: | learning | a Unified Editing Space for Open-Domain Image Color Editing |
| SPAM-Net: A CNN-Based SAR Target Recognition Network With Pose Angle Marginalization | learning | |
| SPARF: Large-Scale | learning | of 3D Sparse Radiance Fields from Few Input Images |
| Sparse approximation to discriminant projection | learning | and application to image classification |
| Sparse Bayesian | learning | Assisted Approaches for Road Network Traffic State Estimation |
| Sparse Bayesian | learning | Based Three-Dimensional Imaging Algorithm for Off-Grid Air Targets in MIMO Radar Array |
| Sparse Bayesian | learning | for Efficient Visual Tracking |
| Sparse Bayesian | learning | for End-to-End EEG Decoding |
| Sparse Bayesian | learning | of Filters for Efficient Image Expansion |
| Sparse Bayesian | learning | Using Generalized Double Pareto Prior for DOA Estimation |
| Sparse Bayesian | learning | -Based Time-Variant Deconvolution |
| Sparse Bayesian multi-task | learning | for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease |
| Sparse Black-Box Video Attack with Reinforcement | learning | |
| Sparse Coding and Dictionary | learning | for Symmetric Positive Definite Matrices: A Kernel Approach |
| Sparse Coding and Dictionary | learning | with Linear Dynamical Systems |
| Sparse Coding Guided Spatiotemporal Feature | learning | for Abnormal Event Detection in Large Videos |
| Sparse coding of hyperspectral imagery using online | learning | |
| Sparse Coding with a Coupled Dictionary | learning | Approach for Textual Image Super-resolution |
| Sparse coding with unity range codes and label consistent discriminative dictionary | learning | |
| Sparse deep feature | learning | for facial expression recognition |
| Sparse Dictionary | learning | for Edit Propagation of High-Resolution Images |
| Sparse Dictionary | learning | for Identifying Grasp Locations |
| Sparse embedded dictionary | learning | on face recognition |
| Sparse Ensemble | learning | for Concept Detection |
| Sparse extreme | learning | machine classifier exploiting intrinsic graphs |
| Sparse Feature | learning | for Visual Tracking by Least Absolute Shrinkage and Selection Operator |
| Sparse Feature Representation | learning | for Deep Face Gender Transfer |
| Sparse Graph Based Deep | learning | Networks for Face Recognition |
| Sparse Illumination | learning | and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment |
| Sparse image reconstruction by two phase RBM | learning | : Application to mine planning |
| Sparse kernel feature extraction via support vector | learning | |
| Sparse Kernel | learning | for Image Set Classification |
| Sparse Kernel-Based Ensemble | learning | With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems |
| Sparse | learning | approach to the problem of robust estimation of camera locations |
| Sparse | learning | for support vector classification |
| Sparse | learning | with Stochastic Composite Optimization |
| Sparse | learning | -Based Correlation Filter for Robust Tracking |
| Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation | learning | |
| Sparse MDMO: | learning | a Discriminative Feature for Micro-Expression Recognition |
| Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation | learning | of Giga-pixel Images |
| Sparse Multiple Kernel | learning | for Signal Processing Applications |
| Sparse Network Inversion for Key Instance Detection in Multiple Instance | learning | |
| Sparse Non-negative Pattern | learning | for image representation |
| Sparse Object Category Model for Efficient | learning | and Complete Recognition, A |
| Sparse Object Category Model for Efficient | learning | and Exhaustive Recognition, A |
| sparse probabilistic | learning | algorithm for real-time tracking, A |
| Sparse Quadratic Approximation for Graph | learning | |
| Sparse Range-Constrained | learning | and Its Application for Medical Image Grading |
| Sparse representation based computed tomography images reconstruction by coupled dictionary | learning | algorithm |
| Sparse Representation Based Fisher Discrimination Dictionary | learning | for Image Classification |
| Sparse Representation Classifier Guided Grassmann Reconstruction Metric | learning | With Applications to Image Set Analysis |
| Sparse representation for face recognition based on discriminative low-rank dictionary | learning | |
| Sparse Representation With Spatio-Temporal Online Dictionary | learning | for Promising Video Coding |
| Sparse Representation-Based Augmented Multinomial Logistic Extreme | learning | Machine With Weighted Composite Features for Spectral-Spatial Classification of Hyperspectral Images |
| Sparse representations in deep | learning | for noise-robust digit classification |
| Sparse semi-supervised | learning | for perceptual grouping |
| Sparse shared structure based multi-task | learning | for MRI based cognitive performance prediction of Alzheimer's disease |
| Sparse shift-invariant representation of local 2D patterns and sequence | learning | for human action recognition |
| Sparse Signal Models for Data Augmentation in Deep | learning | ATR |
| Sparse similarity metric | learning | for kinship verification |
| Sparse Spatio-Temporal Representation With Adaptive Regularized Dictionary | learning | for Low Bit-Rate Video Coding |
| Sparse Structure | learning | Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data, A |
| Sparse Tikhonov-Regularized Hashing for Multi-Modal | learning | |
| Sparse Variation Dictionary | learning | for Face Recognition with a Single Training Sample per Person |
| Sparse-shot | learning | with Exclusive Cross-Entropy for Extremely Many Localisations |
| Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal | learning | in Domain Adaptation for 3D Semantic Segmentation |
| SparseMask: Differentiable Connectivity | learning | for Dense Image Prediction |
| Sparsification of core set models in non-metric supervised | learning | |
| Sparsification of Indefinite | learning | Models |
| Sparsifiner: | learning | Sparse Instance-Dependent Attention for Efficient Vision Transformers |
| Sparsity and Nullity: Paradigms for Analysis Dictionary | learning | |
| Sparsity induced prototype | learning | via lp,1-norm grouping |
| Sparsity-based image denoising via dictionary | learning | and structural clustering |
| Sparsity-Based Image Error Concealment via Adaptive Dual Dictionary | learning | and Regularization |
| Sparsity-Based Poisson Denoising With Dictionary | learning | |
| Sparsity-Enforcing Method for | learning | Face Features, A |
| Sparsity- | learning | -Based Longitudinal MR Image Registration for Early Brain Development |
| Spatial Analysis of Flood Hazard Zoning Map Using Novel Hybrid Machine | learning | Technique in Assam, India |
| Spatial Analysis of Intra-Annual Reed Ecosystem Dynamics at Lake Neusiedl Using RGB Drone Imagery and Deep | learning | |
| Spatial and Anatomical Regularization Based on Multiple Kernel | learning | for Neuroimaging Classification |
| Spatial and Temporal Evolution Analysis of Desert Land Changes in Inner Mongolia by Combining a Structural Equation Model and Deep | learning | , A |
| Spatial and Temporal Human Settlement Growth Differentiation with Symbolic Machine | learning | for Verifying Spatial Policy Targets: Assiut Governorate, Egypt as a Case Study |
| Spatial Assembly Networks for Image Representation | learning | |
| Spatial codification of label predictions in multi-scale stacked sequential | learning | : a case study on multi-class medical volume segmentation |
| Spatial Correspondence With Generative Adversarial Network: | learning | Depth From Monocular Videos |
| Spatial Decision Support Systems with Automated Machine | learning | : A Review |
| Spatial Determinants of Real Estate Appraisals in The Netherlands: A Machine | learning | Approach |
| Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine | learning | Approaches over ShanDian River Basin, China |
| Spatial Downscaling Approach for WindSat Satellite Sea Surface Wind Based on Generative Adversarial Networks and Dual | learning | Scheme, A |
| Spatial Downscaling of Land Surface Temperature Based on a Multi-Factor Geographically Weighted Machine | learning | Model |
| Spatial Downscaling of Near-Surface Air Temperature Based on Deep | learning | Cross-Attention Mechanism |
| Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement | learning | |
| Spatial Gradient Guided | learning | and Semantic Relation Transfer for Facial Landmark Detection |
| Spatial Group-wise Enhance: Enhancing Semantic Feature | learning | in CNN |
| Spatial Iterative | learning | Control for Robotic Path Learning |
| Spatial Iterative | learning | Control for Robotic Path Learning |
| Spatial | learning | with Orientation Maps: The Influence of Different Environmental Features on Spatial Knowledge Acquisition |
| Spatial Modeling of Asthma-Prone Areas Using Remote Sensing and Ensemble Machine | learning | Algorithms |
| Spatial Modeling of Snow Avalanche Using Machine | learning | Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions |
| Spatial non-local attention for thoracic disease diagnosis and visualisation in weakly supervised | learning | |
| Spatial Pattern Extraction and Recognition Toolbox Supporting Machine | learning | Applications on Large Hydroclimatic Datasets, A |
| Spatial Prediction of Aftershocks Triggered by a Major Earthquake: A Binary Machine | learning | Perspective |
| Spatial Prediction of Soil Organic Carbon Stock in the Moroccan High Atlas Using Machine | learning | |
| Spatial Prediction of Wildfire Susceptibility Using Hybrid Machine | learning | Models Based on Support Vector Regression in Sydney, Australia |
| Spatial relation | learning | for explainable image classification and annotation in critical applications |
| Spatial Scaling Using Temporal Correlations and Ensemble | learning | to Obtain High-Resolution Soil Moisture |
| spatial self-similarity based feature | learning | method for face recognition under varying poses, A |
| Spatial-Aware Dictionary | learning | for Hyperspectral Image Classification |
| Spatial-Frequency Mutual | learning | for Face Super-Resolution |
| Spatial- | learning | for Navigation in Dynamic Environments |
| Spatial-Phase Shallow | learning | : Rethinking Face Forgery Detection in Frequency Domain |
| Spatial-slice Feature | learning | Using Visual Transformer and Essential Slices Selection Module for Covid-19 Detection of Ct Scans in the Wild |
| Spatial-Spectral Classification of Hyperspectral Images Using Discriminative Dictionary Designed by | learning | Vector Quantization |
| Spatial-spectral classification of hyperspectral images: A deep | learning | framework with Markov Random fields based modelling |
| Spatial-Spectral Fusion by Combining Deep | learning | and Variational Model |
| spatial-spectral semisupervised deep | learning | framework using siamese networks and angular loss, A |
| Spatial-Spectral-Associative Contrastive | learning | for Satellite Hyperspectral Image Classification with Transformers |
| Spatial-Temporal Adaptive Metric | learning | Network for One-Shot Skeleton-Based Action Recognition |
| Spatial-Temporal Analysis of Land Cover Change at the Bento Rodrigues Dam Disaster Area Using Machine | learning | Techniques |
| Spatial-Temporal Asynchronous Normalization for Unsupervised 3D Action Representation | learning | |
| Spatial-temporal attention wavenet: A deep | learning | framework for traffic prediction considering spatial-temporal dependencies |
| Spatial-Temporal Attention-Aware | learning | for Video-Based Person Re-Identification |
| Spatial-Temporal Correlation and Topology | learning | for Person Re-Identification in Videos |
| Spatial-Temporal Distribution of the Freeze-Thaw Cycle of the Largest Lake (Qinghai Lake) in China Based on Machine | learning | and MODIS from 2000 to 2020 |
| Spatial-Temporal Graph-Based AU Relationship | learning | for Facial Action Unit Detection |
| Spatial-temporal multi-task | learning | for salient region detection |
| Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual | learning | |
| Spatial-then-Temporal Self-Supervised | learning | for Video Correspondence |
| Spatial-UNet: Deep | learning | -Based Lane Detection Using Fisheye Cameras for Autonomous Driving |
| SpAtiAL: A sensor based framework to support affective | learning | |
| Spatially Adaptive Self-Supervised | learning | for Real-World Image Denoising |
| Spatially Aware Dictionary | learning | and Coding for Fossil Pollen Identification |
| Spatially Consistent Representation | learning | |
| Spatially Constrained Deep | learning | Approach for Myocardial T1 Mapping |
| Spatially Constrained Online Dictionary | learning | for Source Separation |
| Spatially Invariant Unsupervised 3D Object-Centric | learning | and Scene Decomposition |
| Spatially regularized active diffusion | learning | for high-dimensional images |
| Spatially Varying Prior | learning | for Blind Hyperspectral Image Fusion |
| Spatially-Adaptive | learning | -Based Image Compression with Hierarchical Multi-Scale Latent Spaces |
| Spatially-Consistent Feature Matching and | learning | for Heritage Image Analysis |
| Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep | learning | for the Prediction of Drug Efficacy |
| Spatio-Temporal Analysis of Wetland Changes Using a Kernel Extreme | learning | Machine Approach |
| Spatio-Temporal Auxiliary Particle Filtering With L_1-Norm-Based Appearance Model | learning | for Robust Visual Tracking |
| Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by | learning | 4D Longitudinal Patient Data |
| Spatio-Temporal Crop Aggregation for Video Representation | learning | |
| Spatio-Temporal Deep | learning | -Based Forecasting of Surface Solar Irradiance: Leveraging Satellite Data and Feature Selection |
| Spatio-Temporal Deep | learning | -Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data |
| Spatio-temporal Feature | learning | Approach for Dynamic Scene Recognition, A |
| Spatio-Temporal Fusion Based Convolutional Sequence | learning | for Lip Reading |
| Spatio-Temporal Fusion for | learning | of Regions of Interests Over Multiple Video Streams |
| Spatio-temporal hard attention | learning | for skeleton-based activity recognition |
| Spatio-Temporal Image Representation and Deep- | learning | -Based Decision Framework for Automated Vehicles |
| Spatio-Temporal Machine | learning | Analysis of Social Media Data and Refugee Movement Statistics |
| Spatio-temporal metric | learning | for individual recognition from locomotion |
| Spatio-temporal object detection by deep | learning | : Video-interlacing to improve multi-object tracking |
| Spatio-temporal patches for night background modeling by subspace | learning | |
| Spatio-Temporal Pixel-Level Contrastive | learning | -based Source-Free Domain Adaptation for Video Semantic Segmentation |
| Spatio-Temporal Prediction of the Epidemic Spread of Dangerous Pathogens Using Machine | learning | Methods |
| Spatio-Temporal Relevance Classification from Geographic Texts Using Deep | learning | |
| Spatio-temporal representation for face authentication by using multi-task | learning | with human attributes |
| Spatio-temporal Self-Supervised Representation | learning | for 3D Point Clouds |
| Spatio-Temporal Variation Characteristics of Aboveground Biomass in the Headwater of the Yellow River Based on Machine | learning | |
| Spatio-Temporal Variation of Cyanobacteria Blooms in Taihu Lake Using Multiple Remote Sensing Indices and Machine | learning | |
| Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network with Semisupervised Active | learning | for Patient-Specific Seizure Prediction |
| Spationomy Simulation Game: Playful | learning | in Spatial Economy Higher Education |
| Spatiotemporal Assessment of Forest Fire Vulnerability in China Using Automated Machine | learning | |
| Spatiotemporal Assessment of Satellite Image Time Series for Land Cover Classification Using Deep | learning | Techniques: A Case Study of Reunion Island, France |
| Spatiotemporal Consistency | learning | from Momentum Cues for Human Motion Prediction |
| Spatiotemporal Contrastive Video Representation | learning | |
| Spatiotemporal distribution of labeled data can bias the validation and selection of supervised | learning | algorithms: A marine remote sensing example |
| Spatiotemporal Dynamic Forecasting and Analysis of Regional Traffic Flow in Urban Road Networks Using Deep | learning | Convolutional Neural Network |
| Spatiotemporal Features and Local Relationship | learning | for Facial Action Unit Intensity Regression |
| Spatiotemporal Features | learning | with 3DPyraNet |
| Spatiotemporal Fusion of Remote Sensing Images with Structural Sparsity and Semi-Coupled Dictionary | learning | |
| Spatiotemporal KSVD Dictionary | learning | for Online Multi-target Tracking |
| Spatiotemporal | learning | of Multivehicle Interaction Patterns in Lane-Change Scenarios |
| Spatiotemporal | learning | Transformer for Video-Based Human Pose Estimation |
| Spatiotemporal | learning | via Mixture Importance Gaussian Filtering With Sparse Regularization |
| Spatiotemporal Modeling of Urban Growth Using Machine | learning | |
| Spatiotemporal Multi-View-Based | learning | Method for Short-Term Traffic Forecasting, A |
| Spatiotemporal Multimodal | learning | With 3D CNNs for Video Action Recognition |
| Spatiotemporal Representation | learning | for Blind Video Quality Assessment |
| Spatiotemporal Saliency Representation | learning | for Video Action Recognition |
| Spatiotemporal Satellite Image Fusion Through One-Pair Image | learning | |
| Spatiotemporal Self-Supervised | learning | for Point Clouds in the Wild |
| Spatiotemporal Stacked Sequential | learning | for Pedestrian Detection |
| Spatiotemporal Variations of Global Human-Perceived Heatwave Risks and their Driving Factors Based on Machine | learning | |
| Speaker Clustering by Co-Optimizing Deep Representation | learning | and Cluster Estimation |
| Speaker-aware Multi-Task | learning | for automatic speech recognition |
| Speaker-Independent Lipreading By Disentangled Representation | learning | |
| Spec-Net and Spec-CGAN: Deep | learning | models for specularity removal from faces |
| Special edition on semi-supervised | learning | for visual content analysis and understanding |
| Special issue MLAAI: Machine | learning | and applications in artificial intelligence |
| Special issue on deep | learning | for document analysis and recognition |
| Special Issue on Deep | learning | for Robotic Vision |
| Special issue on deep | learning | for video text analysis |
| Special issue on Deep | learning | in Image and Video Forensics |
| Special issue on deep | learning | in image and video retrieval |
| Special Issue on Large-Scale Computer Vision: Geometry, Inference, and | learning | |
| Special issue on Perception, Action and | learning | |
| Special Issue on the Mathematical Foundations of Deep | learning | in Imaging Science |
| Special issue on weakly supervised | learning | |
| Special Issue Retraction: Improved artificial bee colony algorithm with opposition-based | learning | |
| Special Issue Review: Artificial Intelligence and Machine | learning | Applications in Remote Sensing |
| Special section on | learning | from multiple evidences for large scale multimedia analysis |
| Specific Emitter Identification Algorithm under Zero Sample Condition Based on Metric | learning | , A |
| Specificity and Latent Correlation | learning | for Action Recognition Using Synthetic Multi-View Data From Depth Maps |
| Specificity-Preserving Federated | learning | for MR Image Reconstruction |
| Spectral Adversarial Feature | learning | for Anomaly Detection in Hyperspectral Imagery |
| Spectral and Spatial Feature Integrated Ensemble | learning | Method for Grading Urban River Network Water Quality |
| Spectral Approach to | learning | Structural Variations in Graphs, A |
| Spectral attribute | learning | for visual regression |
| Spectral clustering via ensemble deep autoencoder | learning | (SC-EDAE) |
| Spectral clustering with robust self- | learning | constraints |
| Spectral Fingerprinting of Methane from Hyper-Spectral Sounder Measurements Using Machine | learning | and Radiative Kernel-Based Inversion |
| Spectral Graph Matching, | learning | , and Inference for Computer Vision |
| spectral grouping-based deep | learning | model for haze removal of hyperspectral images, A |
| Spectral | learning | for Supervised Topic Models |
| Spectral | learning | of latent semantics for action recognition |
| Spectral methods for semi-supervised manifold | learning | |
| Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep | learning | |
| Spectral recovery-guided hyperspectral super-resolution using transfer | learning | |
| Spectral Regression for Efficient Regularized Subspace | learning | |
| Spectral shape classification: A deep | learning | approach |
| Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary | learning | |
| Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank | learning | |
| Spectral-Difference Low-Rank Representation | learning | for Hyperspectral Anomaly Detection |
| Spectral-Locational-Spatial Manifold | learning | for Hyperspectral Images Dimensionality Reduction |
| Spectral-Smoothness and Non-Local Self-Similarity Regularized Subspace Low-Rank | learning | Method for Hyperspectral Mixed Denoising |
| Spectral-Spatial Classification of Hyperspectral Data Using Loopy Belief Propagation and Active | learning | |
| Spectral-Spatial Classification of Hyperspectral Image Based on Kernel Extreme | learning | Machine |
| Spectral-Spatial Classification of Hyperspectral Images: Three Tricks and a New | learning | Setting |
| Spectral-Spatial Discriminant Feature | learning | for Hyperspectral Image Classification |
| Spectral-Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep | learning | Approach |
| Spectral-Spatial Hyperspectral Image Classification via Boundary-Adaptive Deep | learning | |
| Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme | learning | Machine |
| Spectral-Spatial Joint Classification of Hyperspectral Image Based on Broad | learning | System |
| Spectral-Spatial Joint | learning | for Change Detection in Multispectral Imagery, The |
| Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep | learning | Framework |
| Spectral-Spatial-Dependent Global | learning | Framework for Insufficient and Imbalanced Hyperspectral Image Classification, A |
| spectral-temporal constrained deep | learning | method for tree species mapping of plantation forests using time series Sentinel-2 imagery, A |
| Spectrum Evaluation on Multispectral Images by Machine | learning | Techniques |
| Spectrum-aware discriminative deep feature | learning | for multi-spectral face recognition |
| Speech emotion recognition via | learning | analogies |
| Speech-Driven 3D Facial Animation with Implicit Emotional Awareness: A Deep | learning | Approach |
| Speech-driven Facial Animation Using Cascaded Gans for | learning | of Motion and Texture |
| Speech-Visual Emotion Recognition via Modal Decomposition | learning | |
| Speech2Face: | learning | the Face Behind a Voice |
| Speech2Lip: High-fidelity Speech to Lip Generation by | learning | from a Short Video |
| Speed harmonisation and merge control using connected automated vehicles on a highway lane closure: a reinforcement | learning | approach |
| Speed Invariant Time Surface for | learning | to Detect Corner Points With Event-Based Cameras |
| SPEED: A Deep | learning | Assisted Privacy-Preserved Framework for Intelligent Transportation Systems |
| Speeded Up Low-Rank Online Metric | learning | for Object Tracking |
| Speeding up Heterogeneous Federated | learning | with Sequentially Trained Superclients |
| Speeding Up VP9 Intra Encoder With Hierarchical Deep | learning | -Based Partition Prediction |
| SpeedNet: | learning | the Speediness in Videos |
| Speedup of deep | learning | ensembles for semantic segmentation using a model compression technique |
| SPFTN: A Joint | learning | Framework for Localizing and Segmenting Objects in Weakly Labeled Videos |
| Sphere Loss: | learning | Discriminative Features for Scene Classification in a Hyperspherical Feature Space |
| Sphere-Description-Based Approach for Multiple-Instance | learning | , A |
| Sphere2Vec: A general-purpose location representation | learning | over a spherical surface for large-scale geospatial predictions |
| SphereFed: Hyperspherical Federated | learning | |
| SphereGlue: | learning | Keypoint Matching on High Resolution Spherical Images |
| SphereNet: | learning | Spherical Representations for Detection and Classification in Omnidirectional Images |
| Sphererpn: | learning | Spheres for High-Quality Region Proposals on 3d Point Clouds Object Detection |
| Spherical Confidence | learning | for Face Recognition |
| Spherical Feature Transform for Deep Metric | learning | |
| Spherical Regression: | learning | Viewpoints, Surface Normals and 3D Rotations on N-Spheres |
| Spherical Zero-Shot | learning | |
| Spherical-Patches Extraction for Deep- | learning | -Based Critical Points Detection in 3D Neuron Microscopy Images |
| SpiderCNN: Deep | learning | on Point Sets with Parameterized Convolutional Filters |
| Spike timing-based unsupervised | learning | of orientation, disparity, and motion representations in a spiking neural network* |
| Spike-Based Motion Estimation for Object Tracking Through Bio-Inspired Unsupervised | learning | |
| SpineNet: | learning | Scale-Permuted Backbone for Recognition and Localization |
| SpinNet: | learning | a General Surface Descriptor for 3D Point Cloud Registration |
| Spk2ImgNet: | learning | to Reconstruct Dynamic Scene from Continuous Spike Stream |
| SPL-MLL: Selecting Predictable Landmarks for Multi-label | learning | |
| SPL-Net: Spatial-Semantic Patch | learning | Network for Facial Attribute Recognition with Limited Labeled Data |
| SplineCNN: Fast Geometric Deep | learning | with Continuous B-Spline Kernels |
| Split and merge algorithm for deep | learning | and its application for additional classes |
| Split-Brain Autoencoders: Unsupervised | learning | by Cross-Channel Prediction |
| Spoken Emotion Recognition Using Deep | learning | |
| Spoken Moments: | learning | Joint Audio-Visual Representations from Video Descriptions |
| Spontaneous facial expression database for academic emotion inference in online | learning | |
| Spontaneous facial expression recognition: A robust metric | learning | approach |
| Spontaneous visual database for detecting | learning | -centered emotions during online learning |
| Spontaneous visual database for detecting | learning | -centered emotions during online learning |
| Spot What Matters: | learning | Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection |
| Spotpatch: Parameter-efficient Transfer | learning | for Mobile Object Detection |
| SpotTune: Transfer | learning | Through Adaptive Fine-Tuning |
| SPSD: Semantics and Deep Reinforcement | learning | Based Motion Planning for Supermarket Robot |
| SR-CL-DMC: P-frame coding with Super-Resolution, Color | learning | , and Deep Motion Compensation |
| SRAGL-AWCL: A two-step multi-view clustering via sparse representation and adaptive weighted cooperative | learning | |
| SRC-Disp: Synthetic-Realistic Collaborative Disparity | learning | for Stereo Matching |
| Srflow: | learning | the Super-resolution Space with Normalizing Flow |
| SRK-Net: | learning | to Detect Repeatable Keypoints with Local Saliency Knowledge |
| SRL-SOA: Self-Representation | learning | with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection |
| SRL-TR2: A Safe Reinforcement | learning | Based TRajectory TRacker Framework |
| SRL: Separation-and-Recombination | learning | for Video Facial Landmark Detection with Limited Data |
| SRTM DEM Correction Using Ensemble Machine | learning | Algorithm |
| SS R-CNN: Self-Supervised | learning | Improving Mask R-CNN for Ship Detection in Remote Sensing Images |
| SS-IL: Separated Softmax for Incremental | learning | |
| SSAN: Separable Self-Attention Network for Video Representation | learning | |
| SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised | learning | |
| SSDL: Self-Supervised Domain | learning | for Improved Face Recognition |
| SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental | learning | |
| SSL++: Improving Self-Supervised | learning | by Mitigating the Proxy Task-Specificity Problem |
| SSL-DC: Improving Transduxctive Few-Shot | learning | via Self-Supervised Learning and Distribution Calibration |
| SSL-DC: Improving Transduxctive Few-Shot | learning | via Self-Supervised Learning and Distribution Calibration |
| SSL-Net: Sparse semantic | learning | for identifying reliable correspondences |
| SSML: Spectral-Spatial Mutual- | learning | -Based Framework for Hyperspectral Pansharpening |
| SSMTL++: Revisiting self-supervised multi-task | learning | for video anomaly detection |
| SSN: | learning | Sparse Switchable Normalization via SparsestMax |
| SSN: | learning | Sparse Switchable Normalization via SparsestMax |
| SSRL: Self-Supervised Spatial-Temporal Representation | learning | for 3D Action Recognition |
| SST Forecast Skills Based on Hybrid Deep | learning | Models: With Applications to the South China Sea |
| ST-Conal: Consistency-based Acquisition Criterion Using Temporal Self-ensemble for Active | learning | |
| ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature | learning | |
| ST-RoomNet: | learning | Room Layout Estimation From Single Image Through Unsupervised Spatial Transformations |
| STA-CNN: Convolutional Spatial-Temporal Attention | learning | for Action Recognition |
| Stability Analysis of Natural Gradient | learning | Rules in Complete ICA: A Unifying Perspective |
| Stabilize Sequence | learning | with Recurrent Neural Networks by Forced Alignment |
| Stabilizing Visual Reinforcement | learning | via Asymmetric Interactive Cooperation |
| Stable discriminative dictionary | learning | via discriminative deviation |
| Stable | learning | in Coding Space for Multi-class Decoding and Its Extension for Multi-class Hypothesis Transfer Learning |
| Stable | learning | in Coding Space for Multi-class Decoding and Its Extension for Multi-class Hypothesis Transfer Learning |
| stable multi-scale kernel for topological machine | learning | , A |
| Stable Obstacle Avoidance Strategy for Crawler-Type Intelligent Transportation Vehicle in Non-Structural Environment Based on Attention- | learning | |
| Stable self-attention adversarial | learning | for semi-supervised semantic image segmentation |
| StablePose: | learning | 6D Object Poses from Geometrically Stable Patches |
| Stacked Autoencoders Driven by Semi-Supervised | learning | for Building Extraction from near Infrared Remote Sensing Imagery |
| Stacked Autoencoders for Unsupervised Feature | learning | and Multiple Organ Detection in a Pilot Study Using 4D Patient Data |
| Stacked Conditional Generative Adversarial Networks for Jointly | learning | Shadow Detection and Shadow Removal |
| Stacked fully convolutional networks with multi-channel | learning | : application to medical image segmentation |
| Stacked Hybrid-Attention and Group Collaborative | learning | for Unbiased Scene Graph Generation |
| Stacked | learning | to Search for Scene Labeling |
| Stacked Multiscale Feature | learning | for Domain Independent Medical Image Segmentation |
| Stacking Ensemble Deep | learning | Model for Building Extraction from Remote Sensing Images, A |
| Stacking Ensemble | learning | Method to Classify the Patterns of Complex Road Junctions, A |
| Stacking | learning | with coalesced cost filtering for accurate stereo matching |
| Stacking-based ensemble | learning | method for cognitive distraction state recognition for drivers in traditional and connected environments |
| Stacking-based ensemble | learning | method for the recognition of the preceding vehicle lane-changing manoeuvre: A naturalistic driving study on the highway |
| StackNet: Stacking feature maps for Continual | learning | |
| Stacks of convolutional Restricted Boltzmann Machines for shift-invariant feature | learning | |
| Staff removal using image operator | learning | |
| Staged- | learning | : Assessing the Quality of Screen Content Images from Distortion Information |
| Standard simplex induced clustering with hierarchical deep dictionary | learning | |
| Star-based | learning | correlation clustering |
| Star-Discriminative dictionary | learning | algorithm based on sample diversity and locality of atoms for face recognition |
| StarEnhancer: | learning | Real-Time and Style-Aware Image Enhancement |
| StARformer: Transformer With State-Action-Reward Representations for Robot | learning | |
| StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement | learning | |
| State Identification of Duffing Oscillator Based on Extreme | learning | Machine |
| State Representation | learning | With Adjacent State Consistency Loss for Deep Reinforcement Learning |
| State Representation | learning | With Adjacent State Consistency Loss for Deep Reinforcement Learning |
| State-Aware Compositional | learning | Toward Unbiased Training for Scene Graph Generation |
| State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep | learning | Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning |
| State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep | learning | Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning |
| State-Relabeling Adversarial Active | learning | |
| State-Temporal Compression in Reinforcement | learning | With the Reward-Restricted Geodesic Metric |
| Static and Dynamic Concepts for Self-Supervised Video Representation | learning | |
| Statistical Adaptive Metric | learning | for Action Feature Set Recognition in the Wild |
| Statistical adaptive metric | learning | in visual action feature set recognition |
| Statistical and Machine | learning | Models for Remote Sensing Data Mining: Recent Advancements |
| Statistical Deep | learning | in Computer Vision |
| Statistical edge detection: | learning | and evaluating edge cues |
| Statistical | learning | and Pattern Analysis for Image and Video Processing |
| statistical | learning | approach to document image analysis, A |
| Statistical | learning | Approach to Spatial Context Exploitation for Semantic Image Analysis, A |
| Statistical | learning | Based Congestion Control for Real-Time Video Communication |
| Statistical | learning | based intra prediction in H.264 |
| Statistical | learning | for effective visual information retrieval |
| Statistical | learning | of Evaluation Function for ASM/AAM Image Alignment |
| Statistical | learning | of Multi-view Face Detection |
| Statistical | learning | of Visual Feature Hierarchies |
| Statistical | learning | Theory |
| Statistical | learning | Theory: A Primer |
| Statistical | learning | , Clustering, Learning Feature Values |
| Statistical | learning | , Clustering, Learning Feature Values |
| Statistical | learning | , Localization, and Identification of Objects |
| Statistical Machine | learning | Methods and Remote Sensing for Sustainable Development Goals: A Review |
| Statistical Machine Translation for Speech: A Perspective on Structures, | learning | , and Decoding |
| Statistical Modeling and | learning | for Recognition-Based Handwritten Numeral String Segmentation |
| Statistical motion | learning | for improved transform domain Wyner-Ziv video coding |
| Statistical Properties of | learning | Recognition Strategies |
| statistical self-organizing | learning | system for remote sensing classification, A |
| Statistical Shape Analysis: Clustering, | learning | , and Testing |
| Statistics | learning | Network Based on the Quadratic Form for SAR Image Classification |
| Statistics-Guided Dictionary | learning | for Automatic Coherent Noise Suppression |
| Stc: Spatio-temporal Contrastive | learning | for Video Instance Segmentation |
| STDLens: Model Hijacking-Resilient Federated | learning | for Object Detection |
| Steerable Wavelet Machines (SWM): | learning | Moving Frames for Texture Classification |
| STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance | learning | |
| Steering Self-Supervised Feature | learning | Beyond Local Pixel Statistics |
| Steganalysis Based on Awareness of Selection-Channel and Deep | learning | |
| Step-wise integration of deep class-specific | learning | for dermoscopic image segmentation |
| STEP: Spatio-Temporal Progressive | learning | for Video Action Detection |
| Stepwise Metric Adaptation Based on Semi-Supervised | learning | for Boosting Image Retrieval Performance |
| Stereo Disparity Estimation via Joint Supervised, Unsupervised, and Weakly Supervised | learning | |
| Stereo Matching via | learning | Multiple Experts Behaviors |
| Stereo Radiance Fields (SRF): | learning | View Synthesis for Sparse Views of Novel Scenes |
| Stereo Vision-Based Improving Cascade Classifier | learning | for Vehicle Detection |
| Stereoscopic image quality assessment by | learning | non-negative matrix factorization-based color visual characteristics and considering binocular interactions |
| Stereoscopic images quality assessment based on deep | learning | |
| STGL: Spatial-Temporal Graph Representation and | learning | for Visual Tracking |
| Sticks and STONES may build my bones: Deep | learning | reconstruction of limb rotations in stick figures |
| Still an Ineffective Method With Supertrials/ERPs: Comments on Decoding Brain Representations by Multimodal | learning | of Neural Activity and Visual Features |
| Stochastic Class-Based Hard Example Mining for Deep Metric | learning | |
| Stochastic Consensus: Enhancing Semi-Supervised | learning | with Consistency of Stochastic Classifiers |
| Stochastic discretized | learning | -based weak estimation: A novel estimation method for non-stationary environments |
| Stochastic Dykstra Algorithms for Metric | learning | with Positive Definite Covariance Descriptors |
| Stochastic exploration and active | learning | for image retrieval |
| Stochastic Filter Groups for Multi-Task CNNs: | learning | Specialist and Generalist Convolution Kernels |
| Stochastic first-order | learning | for large-scale flexibly tied Gaussian mixture models |
| stochastic | learning | algorithm for pixel-level background models, A |
| Stochastic | learning | -based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments |
| Stochastic margin-based structure | learning | of Bayesian network classifiers |
| Stochastic Modeling and Integration of Plug-In Hybrid Electric Vehicles in Reconfigurable Microgrids With Deep | learning | -Based Forecasting |
| Stochastic Normalizations as Bayesian | learning | |
| Stochastic Quantization for | learning | Accurate Low-Bit Deep Neural Networks |
| Storm-Time Relative Total Electron Content Modelling Using Machine | learning | Techniques |
| STP-SOM: Scale-Transfer | learning | for Pansharpening via Estimating Spectral Observation Model |
| Straight Sampling Network for Point Cloud | learning | |
| Straight to the Facts: | learning | Knowledge Base Retrieval for Factual Visual Question Answering |
| Straight to the Point: Fast-Forwarding Videos via Reinforcement | learning | Using Textual Data |
| Strain-Based Parameters for Infarct Localization: Evaluation via a | learning | Algorithm on a Synthetic Database of Pathological Hearts |
| Strategic Capability- | learning | for Improved Multiagent Collaboration in Ad Hoc Environments |
| Strategies for Improving Single-Head Continual | learning | Performance |
| Strategies for | learning | in class imbalance problems |
| Strategies of Deep | learning | for Tomographic Reconstruction |
| Strategy for Residual Component-Based Multiple Structured Dictionary | learning | , A |
| Strategy of active | learning | support vector machine for image retrieval |
| Strategy of combining random subspace and diversified active | learning | in CBIR |
| Stratified | learning | of local anatomical context for lung nodules in CT images |
| Stratified Multi-Task | learning | for Robust Spotting of Scene Texts |
| Stratiform and Convective Rain Classification Using Machine | learning | Models and Micro Rain Radar |
| Straw Burning Detection Method Based on Improved Frame Difference Method and Deep | learning | |
| Stream-based joint exploration-exploitation active | learning | |
| Stream-Based Semi-supervised Active | learning | Approach for Document Classification, A |
| Streaming Convolutional Neural Networks for End-to-End | learning | With Multi-Megapixel Images |
| Street View Text Recognition With Deep | learning | for Urban Scene Understanding in Intelligent Transportation Systems |
| Strengthen | learning | Tolerance for Weakly Supervised Object Localization |
| Strengthening Deep | learning | Model for Robust Screening of Volumetric Chest Radiographic Scans |
| Strengths and weaknesses of deep | learning | models for face recognition against image degradations |
| Stretching Bayesian | learning | in the Relevance Feedback of Image Retrieval |
| Striking a Balance between Stability and Plasticity for Class-Incremental | learning | |
| String-level | learning | of confidence transformation for Chinese handwritten text recognition |
| Stripe Noise Detection of High-Resolution Remote Sensing Images Using Deep | learning | Method |
| Stroke Risk Stratification Using Transfer | learning | on Carotid Ultrasound Images |
| Stroke-based stylization by | learning | sequential drawing examples |
| Strong Solutions for PDE-Based Tomography by Unsupervised | learning | |
| strongest schema | learning | GA and its application to multilevel thresholding, The |
| StructEdit: | learning | Structural Shape Variations |
| Structural and Compositional | learning | on 3D Data |
| Structural Attention Enhanced Continual Meta- | learning | for Graph Edge Labeling Based Few-Shot Remote Sensing Scene Classification |
| Structural biomarker-based Alzheimer's disease detection via ensemble | learning | techniques |
| Structural Building Damage Detection with Deep | learning | : Assessment of a State-of-the-Art CNN in Operational Conditions |
| Structural Compact Core Tensor Dictionary | learning | for Multispec-Tral Remote Sensing Image Deblurring |
| Structural Deep Metric | learning | for Room Layout Estimation |
| Structural Kernel | learning | for Large Scale Multiclass Object Co-detection |
| Structural | learning | for Writer Identification in Offline Handwriting |
| Structural Optimization and Online Evolutionary | learning | for Spoken Dialog Management |
| Structural Prior Driven Regularized Deep | learning | for Sonar Image Classification |
| Structural sparse representation-based semi-supervised | learning | and edge detection proposal for visual tracking |
| Structural-RNN: Deep | learning | on Spatio-Temporal Graphs |
| Structure Evolution on Manifold for Graph | learning | |
| Structure Guided Deep Neural Network for Unsupervised Active | learning | |
| Structure | learning | in random fields for heart motion abnormality detection |
| Structure | learning | of Bayesian Networks by Finding the Optimal Ordering |
| Structure | learning | of Bayesian Networks By Genetic Algorithms: A Performance Analysis of Control Parameters |
| Structure Preserving Generative Cross-Domain | learning | |
| Structure Representation Network and Uncertainty Feedback | learning | for Dense Non-uniform Fog Removal |
| Structure Similarity Preservation | learning | for Asymmetric Image Retrieval |
| Structure-Aware Hierarchical Graph-Based Multiple Instance | learning | Framework for pT Staging in Histopathological Image, A |
| Structure-Awareness SAR Imagery by Exploiting Structure Tensor TV Regularization Under Multitask | learning | Framework |
| Structure-Coherent Deep Feature | learning | for Robust Face Alignment |
| Structure-Driven Induction of Decision Tree Classifiers Through Neural | learning | |
| Structure-Enriched Topology | learning | For Cross-Domain Multi-Person Pose Estimation |
| Structure-guided manifold | learning | for video-based motion estimation |
| Structure-perceptron | learning | of a hierarchical log-linear model |
| Structure-Preserving Image Super-Resolution via Contextualized Multitask | learning | |
| Structured Cooperative Reinforcement | learning | With Time-Varying Composite Action Space |
| Structured Deep- | learning | Based Approach for the Automated Segmentation of Human Leg Muscle from 3D MRI, A |
| Structured dictionary | learning | for abnormal event detection in crowded scenes |
| Structured Dictionary | learning | for Image Denoising Under Mixed Gaussian and Impulse Noise |
| Structured dictionary | learning | using mixed-norms and group-sparsity constraint |
| Structured Feature | learning | for Pose Estimation |
| Structured Feature | learning | Model for Clothing Keypoints Localization, A |
| Structured Graph Dictionary | learning | and Application on the Seismic Denoising |
| Structured graph | learning | for clustering and semi-supervised classification |
| Structured Graph | learning | for Scalable Subspace Clustering: From Single View to Multiview |
| Structured Kernel Dictionary | learning | With Correlation Constraint for Object Recognition |
| Structured Landmark Detection via Topology-adapting Deep Graph | learning | |
| Structured | learning | and Prediction in Computer Vision |
| Structured | learning | and prediction in face sketch gender classification and recognition |
| Structured | learning | approach to image descriptor combination |
| Structured | learning | for crowd motion segmentation |
| Structured | learning | for detection of social groups in crowd |
| Structured | learning | for Multiple Object Tracking |
| Structured | learning | of Binary Codes with Column Generation for Optimizing Ranking Measures |
| Structured | learning | of Human Interactions in TV Shows |
| Structured | learning | of local features for human action classification and localization |
| Structured | learning | of metric ensembles with application to person re-identification |
| Structured | learning | of Sum-of-Submodular Higher Order Energy Functions |
| structured | learning | -based graph matching for dynamic multiple object tracking, A |
| Structured | learning | -Based Graph Matching Method for Tracking Dynamic Multiple Objects, A |
| Structured Listwise Approach to | learning | to Rank for Image Tagging, A |
| Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine | learning | |
| Structured Max-Margin | learning | for Inter-Related Classifier Training and Multilabel Image Annotation |
| Structured max-margin | learning | for multi-label image annotation |
| Structured Output Prediction and | learning | for Deep Monocular 3D Human Pose Estimation |
| Structured Output-Associated Dictionary | learning | for Haptic Understanding |
| Structured Overcomplete Sparsifying Transform | learning | with Convergence Guarantees and Applications |
| Structured Prediction - Tractability, | learning | and Inference |
| Structured self-attention architecture for graph-level representation | learning | |
| Structured Set Intra Prediction With Discriminative | learning | in a Max-Margin Markov Network for High Efficiency Video Coding |
| Structured Sparse Subspace Clustering: A Joint Affinity | learning | and Subspace Clustering Framework |
| Structured Sparsity | learning | for Efficient Video Super-Resolution |
| Structured sparsity regularized multiple kernel | learning | for Alzheimer's disease diagnosis |
| Structured Triplet | learning | with POS-Tag Guided Attention for Visual Question Answering |
| Structured Visual Feature | learning | for Classification via Supervised Probabilistic Tensor Factorization |
| Structured Visual Search via Composition-aware | learning | |
| Student Network | learning | via Evolutionary Knowledge Distillation |
| Student's t-Hidden Markov Model for Unsupervised | learning | Using Localized Feature Selection |
| Student-Teacher | learning | from Clean Inputs to Noisy Inputs |
| Study of Activation Functions in Deep | learning | for Pedestrian Detection and Tracking, The |
| Study of Convolutional Sparse Feature | learning | for Human Age Estimate, A |
| Study of Deep | learning | Networks for Motion Compensation in Cardiac Gated SPECT Images, A |
| Study of Driving Factors Using Machine | learning | to Determine the Effect of Topography, Climate, and Fuel on Wildfire in Pakistan |
| Study of Multi-Task and Region-Wise Deep | learning | for Food Ingredient Recognition, A |
| Study Of Prediction Methods Based On Machine | learning | Techniques For Lossless Image Coding, A |
| Study on 2D Feature-Based Hash | learning | |
| study on deep | learning | spatiotemporal models and feature extraction techniques for video understanding, A |
| Study on Hand Gesture Recognition with CNN-Based Deep | learning | |
| Study on Pedestrian Re-identification Based on Transfer | learning | , A |
| Study on Radar Echo-Filling in an Occlusion Area by a Deep | learning | Algorithm |
| Study on Rapid Inversion of Soil Water Content from Ground-Penetrating Radar Data Based on Deep | learning | |
| Study on SARS-CoV-2 (COVID-19) and Machine | learning | Based Approach to Detect COVID-19 Through X-Ray Images, A |
| Study on Several Machine- | learning | Methods for Classification of Malignant and Benign Clustered Microcalcifications, A |
| study on the distribution of social biases in self-supervised | learning | visual models, A |
| Study on the Uncertainty of Machine | learning | Model for Earthquake-Induced Landslide Susceptibility Assessment |
| STURE: Spatial-Temporal Mutual Representation | learning | for robust data association in online multi-object tracking |
| Style Adaptive Bayesian Tracking Using Explicit Manifold | learning | |
| Style Interleaved | learning | for Generalizable Person Re-Identification |
| Style transfer matrix | learning | for writer adaptation |
| Style Transfer with Adversarial | learning | for Cross-Dataset Person Re-identification |
| Style Uncertainty Based Self-Paced Meta | learning | for Generalizable Person Re-Identification |
| Style-Agnostic Reinforcement | learning | |
| Style-Agnostic Representation | learning | for Visible-Infrared Person Re-Identification |
| Style-Hallucinated Dual Consistency | learning | for Domain Generalized Semantic Segmentation |
| Style-Hallucinated Dual Consistency | learning | : A Unified Framework for Visual Domain Generalization |
| StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot | learning | |
| StyleTrendGAN: A Deep | learning | Generative Framework for Fashion Bag Generation |
| Stylistic Classification of Historical Violins: A Deep | learning | Approach |
| StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual | learning | |
| Styp-boost: A Bilinear Boosting Algorithm for | learning | Style-parameterized Classifiers |
| Su-MICL: Severity-Guided Multiple Instance Curriculum | learning | for Histopathology Image Interpretable Classification |
| Su-Sampling Based Active | learning | for Large-Scale Histopathology Image |
| Sub clustering K-SVD: Size variable dictionary | learning | for sparse representations |
| Sub-bit Neural Networks: | learning | to Compress and Accelerate Binary Neural Networks |
| Sub-pixel Optical Satellite Image Registration for Ground Deformation Using Deep | learning | |
| Sub-Selective Quantization for | learning | Binary Codes in Large-Scale Image Search |
| Sub-structure | learning | Based Handwritten Chinese Text Recognition |
| Subband Differentiated | learning | Network for Rain Streak Removal |
| Subcategory Classifiers for Multiple-Instance | learning | and Its Application to Retinal Nerve Fiber Layer Visibility Classification |
| Subclass-balancing Contrastive | learning | for Long-tailed Recognition |
| Subgraph | learning | for graph matching |
| Subject Specific Sparse Dictionary | learning | for Atlas Based Brain MRI Segmentation |
| Subject-Specific Cardiac Segmentation Based on Reinforcement | learning | with Shape Instantiation |
| Submodular dictionary | learning | for sparse coding |
| Subpath Kernel for | learning | Hierarchical Image Representations, A |
| Subpixel Multilevel Scale Feature | learning | and Adaptive Attention Constraint Fusion for Hyperspectral Image Classification |
| Subpixel-Pixel-Superpixel-Based Multiview Active | learning | for Hyperspectral Images Classification |
| Subproblem coupling in convolutional dictionary | learning | |
| Subsampling strategies to improve | learning | -based retina vessel segmentation |
| Subset feature | learning | for fine-grained category classification |
| Subset Replay Based Continual | learning | for Scalable Improvement of Autonomous Systems |
| Subset Sampling for Progressive Neural Network | learning | |
| Subspace Clustering via Adaptive Non-Negative Representation | learning | and Its Application to Image Segmentation |
| Subspace Clustering via | learning | an Adaptive Low-Rank Graph |
| Subspace Clustering, Subspace | learning | |
| Subspace Interpolation via Dictionary | learning | for Unsupervised Domain Adaptation |
| Subspace | learning | Approach to Multishot Person Reidentification, A |
| Subspace | learning | Based Low-Rank Representation |
| Subspace | learning | by L0-Induced Sparsity |
| Subspace | learning | for Background Modeling: A Survey |
| Subspace | learning | for unsupervised feature selection via matrix factorization |
| Subspace | learning | from Image Gradient Orientations |
| Subspace | learning | in Krein Spaces: Complete Kernel Fisher Discriminant Analysis with Indefinite Kernels |
| Subspace | learning | machine (SLM): Methodology and performance evaluation |
| Subspace | learning | of Dynamics on a Shape Manifold: A Generative Modeling Approach |
| Subspace manifold | learning | with sample weights |
| Subspace Model-Assisted Deep | learning | for Improved Image Reconstruction |
| Subspace Segmentation Based Metric | learning | |
| Subspace-Based | learning | for Automatic Dysarthric Speech Detection |
| Substitute Meta- | learning | for Black-Box Adversarial Attack |
| Subsurface Structure Analysis Using Computational Interpretation and | learning | : A Visual Signal Processing Perspective |
| Subsurface Temperature Reconstruction for the Global Ocean from 1993 to 2020 Using Satellite Observations and Deep | learning | |
| Subtidal Natural Hard Substrate Quantitative Habitat Mapping: Interlinking Underwater Acoustics and Optical Imagery with Machine | learning | |
| Successive | learning | of Linear Discriminant Analysis: Sanger-type Algorithm |
| Successive pattern | learning | based on test feature classifier and its application to dynamic recognition problems |
| Successor Feature-Based Transfer Reinforcement | learning | for Video Rate Adaptation With Heterogeneous QoE Preferences |
| SUGAMAN: describing floor plans for visually impaired by annotation | learning | and proximity-based grammar |
| Sugarcane Biomass Prediction with Multi-Mode Remote Sensing Data Using Deep Archetypal Analysis and Integrated | learning | |
| Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine | learning | Technique |
| Suggestive Data Annotation for CNN-Based Building Footprint Mapping Based on Deep Active | learning | and Landscape Metrics |
| Suitability of Machine- | learning | Algorithms for the Automatic Acoustic Seafloor Classification of Hard Substrate Habitats in the German Bight, The |
| Summarization and Classification of Wearable Camera Streams by | learning | the Distributions over Deep Features of Out-of-Sample Image Sequences |
| Summarize and Search: | learning | Consensus-aware Dynamic Convolution for Co-Saliency Detection |
| SUPER | learning | : A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction |
| Super Resolution by Deep | learning | Improves Boulder Detection in Side Scan Sonar Backscatter Mosaics |
| Super resolution image reconstruction using total variation regularization and | learning | -based method |
| Super-Resolution Based on Residual | learning | and Optimized Phase Stretch Transform |
| Super-resolution based on self-example | learning | and guided filtering |
| Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter | learning | and Sparse Signal Recovery |
| Super-Resolution for Overhead Imagery Using DenseNets and Adversarial | learning | |
| Super-resolution from | learning | the enhancement ratio and texture/residual dictionary |
| Super-Resolution ISAR Imaging for Maneuvering Target Based on Deep- | learning | -Assisted Time-Frequency Analysis |
| Super-Resolution Magnetic Resonance Imaging using Segmented Signals in Phase-Scrambling Fourier Transform Imaging and Deep | learning | |
| Super-Resolution Neural Radiance Field via | learning | High Frequency Details for High-Fidelity Novel View Synthesis |
| Super-Resolution of BVOC Maps by Adapting Deep | learning | Methods |
| Super-resolution of Sentinel-2 images: | learning | a globally applicable deep neural network |
| Super-Resolution Person Re-Identification with Semi-Coupled Low-Rank Discriminant Dictionary | learning | |
| Super-Resolution Person Re-Identification with Semi-Coupled Low-Rank Discriminant Dictionary | learning | |
| Super-Resolution Reconstruction Algorithm of Target Image Based on | learning | Background |
| Super-resolution reconstruction of dynamic MRI by patch | learning | |
| Super-Resolution Ultrasound Localization Microscopy Through Deep | learning | |
| Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal | learning | |
| Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep | learning | |
| Superclass | learning | with Representation Enhancement |
| Superclass-aware network for few-shot | learning | |
| SuperGlue: | learning | Feature Matching With Graph Neural Networks |
| Superior PM2.5 Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical Machine | learning | Models |
| Superpixel Contracted Graph-Based | learning | for Hyperspectral Image Classification |
| Superpixel Guided Deep-Sparse-Representation | learning | for Hyperspectral Image Classification |
| Superpixel level object recognition under local | learning | framework |
| Superpixel-Based Adaptive Kernel Selection for Angular Effect Normalization of Remote Sensing Images With Kernel | learning | |
| Superpixel-Based Difference Representation | learning | for Change Detection in Multispectral Remote Sensing Images |
| Superpixel-based feature | learning | for joint sparse representation of hyperspectral images |
| Superpixel-based multi-scale multi-instance | learning | for hyperspectral image classification |
| Superpixel-Based Multitask | learning | Framework for Hyperspectral Image Classification |
| Superquadrics Revisited: | learning | 3D Shape Parsing Beyond Cuboids |
| Superresolution ISAR Imaging Based on Sparse Bayesian | learning | |
| Supervised and self-supervised | learning | -based cascade spatiotemporal fusion framework and its application |
| Supervised and Unsupervised | learning | of Parameterized Color Enhancement |
| Supervised and Unsupervised Parallel Subspace | learning | for Large-Scale Image Recognition |
| Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active | learning | |
| Supervised autonomy for online | learning | in human-robot interaction |
| Supervised Binary Hash Code | learning | with Jensen Shannon Divergence |
| Supervised class-specific dictionary | learning | for sparse modeling in action recognition |
| Supervised Classification of Hyperspectral Images Using Local-Receptive-Fields-Based Kernel Extreme | learning | Machine |
| Supervised Classification of Multisensor Remotely Sensed Images Using a Deep | learning | Framework |
| Supervised Contrastive | learning | for Detecting Anomalous Driving Behaviours from Multimodal Videos |
| Supervised Contrastive | learning | for Facial Kinship Recognition |
| Supervised Contrastive | learning | for Generalizable and Explainable DeepFakes Detection |
| Supervised Contrastive | learning | for Robust and Efficient Multi-modal Emotion and Sentiment Analysis |
| Supervised Contrastive | learning | -Based Classification for Hyperspectral Image |
| Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual | learning | |
| Supervised deep | learning | of elastic SRV distances on the shape space of curves |
| Supervised Descent | learning | Technique for Solving Directional Electromagnetic Logging-While-Drilling Inverse Problems, A |
| Supervised descriptor | learning | for multi-output regression |
| Supervised Descriptor | learning | for Non-Rigid Shape Matching |
| Supervised dictionary | learning | for action localization |
| Supervised Dictionary | learning | for Blind Image Quality Assessment |
| Supervised Dictionary | learning | for Blind Image Quality Assessment Using Quality-Constraint Sparse Coding |
| Supervised Dictionary | learning | for Inferring Concurrent Brain Networks |
| Supervised dictionary | learning | for music genre classification |
| Supervised dictionary | learning | in BoF framework for Scene Character recognition |
| Supervised dictionary | learning | with multiple classifier integration |
| Supervised discriminative manifold | learning | with subsidiary-view information for near infrared spectroscopic classification of crop seeds |
| Supervised distance metric | learning | through maximization of the Jeffrey divergence |
| Supervised dual tight frame | learning | with deep thresholding network for phase retrieval |
| Supervised dynamic mode decomposition via multitask | learning | |
| Supervised Earth Mover's Distance | learning | and Its Computer Vision Applications |
| supervised extreme | learning | committee for food recognition, A |
| Supervised Feature Embedding for Classification by | learning | Rank-based Neighborhoods |
| Supervised feature selection by self-paced | learning | regression |
| Supervised hashing with extreme | learning | machine |
| Supervised hashing with jointly | learning | embedding and quantization |
| Supervised hierarchical neighborhood graph construction for manifold | learning | |
| Supervised High-Level Feature | learning | With Label Consistencies for Object Recognition |
| Supervised Homography | learning | with Realistic Dataset Generation |
| Supervised Image Segmentation across Scanner Protocols: A Transfer | learning | Approach |
| Supervised Isomap with Dissimilarity Measures in Embedding | learning | |
| Supervised | learning | Approach for Explicit Spatial Filtering of Speech |
| supervised | learning | approach for imbalanced data sets, A |
| Supervised | learning | approach to remote heart rate estimation from facial videos |
| Supervised | learning | based discrete hashing for image retrieval |
| Supervised | learning | Based Stereo Matching Using Neural Tree |
| Supervised | learning | for Fake News Detection |
| Supervised | learning | for Guiding Hierarchy Construction: Application to Osteo-Articular Medical Images Database |
| Supervised | learning | for parameterized Koopmans-Beckmann's graph matching |
| Supervised | learning | Framework for Automatic Prostate Segmentation in Trans Rectal Ultrasound Images, A |
| Supervised | learning | Framework for Generic Object Detection in Images, A |
| Supervised | learning | of a generative model for edge-weighted graphs |
| Supervised | learning | of Analysis-Sparsity Priors With Automatic Differentiation |
| Supervised | learning | of descriptions for image recognition purposes |
| Supervised | learning | of Detection and Classification Tasks with Uncertain Training Data |
| Supervised | learning | of Edges and Object Boundaries |
| Supervised | learning | of Gaussian mixture models for visual vocabulary generation |
| Supervised | learning | of Gesture-Action Associations for Human-Robot Collaboration |
| Supervised | learning | of Hierarchical Image Segmentation |
| Supervised | learning | of Image Restoration with Convolutional Networks |
| Supervised | learning | of Large Perceptual Organization: Graph Spectral Partitioning and Learning Automata |
| Supervised | learning | of Large Perceptual Organization: Graph Spectral Partitioning and Learning Automata |
| Supervised | learning | of low-rank transforms for image retrieval |
| Supervised | learning | of Quantizer Codebooks by Information Loss Minimization |
| Supervised | learning | of Semantic Classes for Image Annotation and Retrieval |
| Supervised | learning | of Semantics-Preserving Hash via Deep Convolutional Neural Networks |
| Supervised | learning | of smoothing parameters in image restoration by regularization under cellular neural networks framework |
| Supervised | learning | of the next-best-view for 3d object reconstruction |
| Supervised | learning | rule selection for multiclass decision with performance constraints |
| Supervised | learning | software model for the diagnosis of diabetic retinopathy |
| supervised | learning | to index model for approximate nearest neighbor image retrieval, A |
| Supervised Local Descriptor | learning | for Human Action Recognition |
| Supervised local subspace | learning | for continuous head pose estimation |
| Supervised Local Subspace | learning | for Region Segmentation and Categorization in High-Resolution Satellite Images |
| Supervised Low-Rank Embedded Regression (SLRER) for Robust Subspace | learning | |
| Supervised Low-Rank Method for | learning | Invariant Subspaces, A |
| Supervised Machine | learning | Algorithms for Ground Motion Time Series Classification from InSAR Data |
| Supervised Machine | learning | Approaches on Multispectral Remote Sensing Data for a Combined Detection of Fire and Burned Area |
| Supervised Manifold- | learning | Algorithm for Polsar Feature Extraction and LULC Classification |
| Supervised multi-modal dictionary | learning | for clothing representation |
| Supervised Neighborhood Topology | learning | for Human Action Recognition |
| Supervised Spatio-Temporal Neighborhood Topology | learning | for Action Recognition |
| Supervised Two-Stage Transfer | learning | on Imbalanced Dataset for Sport Classification |
| Supervised Weighting-Online | learning | Algorithm for Short-Term Traffic Flow Prediction |
| Supervised within-class-similar discriminative dictionary | learning | for face recognition |
| Supervising the New with the Old: | learning | SFM from SFM |
| Supervision by Fusion: Towards Unsupervised | learning | of Deep Salient Object Detector |
| Supervision Strategies for the Online | learning | of an Evolving Classifier for Gesture Commands |
| Supplementary Meta- | learning | : Towards a Dynamic Model for Deep Neural Networks |
| Support Discrimination Dictionary | learning | for Image Classification |
| Support structure representation | learning | for sequential data clustering |
| Support Vector Guided Dictionary | learning | |
| Support Vector | learning | |
| Support Vector Machine Based Online | learning | Approach for Automated Visual Inspection, A |
| Support Vector Machine | learning | for Image Retrieval |
| Support Vector Machines and Kernel Methods: The New Generation of | learning | Machines |
| Support vector regression-based 3D-wavelet texture | learning | for hyperspectral image compression |
| Support Vectors Selection for Supervised | learning | Using an Ensemble Approach |
| Supporting visual quality assessment with machine | learning | |
| Supraglacial Lake Evolution over Northeast Greenland Using Deep | learning | Methods |
| Surface Crack Extraction Method Based on Machine | learning | of Image and Quantitative Feature Information Acquisition Method, The |
| Surface Defect Image Classification of Lithium Battery Pole Piece Based on Deep | learning | |
| Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and Machine | learning | Algorithms |
| Surface Reconstruction from Point Clouds by | learning | Predictive Context Priors |
| Surface Shortwave Net Radiation Estimation from Landsat TM/ETM+ Data Using Four Machine | learning | Algorithms |
| Surface Soil Moisture Retrieval of China Using Multi-Source Data and Ensemble | learning | |
| Surface Soil Moisture Retrieval on Qinghai-Tibetan Plateau Using Sentinel-1 Synthetic Aperture Radar Data and Machine | learning | Algorithms |
| Surfing Virtual Waves to Thermal Tomography: From model- to deep | learning | -based reconstructions |
| SurfsUp: | learning | Fluid Simulation for Novel Surfaces |
| Surgical Tool Datasets for Machine | learning | Research: A Survey |
| Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum | learning | |
| SurRF: Unsupervised Multi-View Stereopsis by | learning | Surface Radiance Field |
| Survey About the Cyberbullying Problem on Social Media by Using Machine | learning | Approaches, A |
| Survey of Active | learning | for Quantifying Vegetation Traits from Terrestrial Earth Observation Data, A |
| Survey of Deep | learning | Applications to Autonomous Vehicle Control, A |
| survey of deep | learning | approaches for classifying ECG heartbeat arrhythmias, A |
| Survey of Deep | learning | Based Fully Automatic Bone Age Assessment Algorithms, A |
| Survey of Deep | learning | for Autonomous Surface Vehicles in Marine Environments |
| Survey of Deep | learning | for Low-shot Object Detection, A |
| Survey of Deep | learning | -Based Human Activity Recognition in Radar, A |
| Survey of Deep Reinforcement | learning | for Motion Planning of Autonomous Vehicles |
| Survey of Deep Representation | learning | for Speech Emotion Recognition |
| Survey of Deep RL and IL for Autonomous Driving Policy | learning | , A |
| survey of machine | learning | and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities, A |
| survey of machine | learning | and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities, A |
| survey of multilinear subspace | learning | for tensor data, A |
| Survey of Object Detection for UAVs Based on Deep | learning | , A |
| Survey of Robustness and Safety of 2D and 3D Deep | learning | Models against Adversarial Attacks, A |
| Survey of Single Image Rain Removal Based on Deep | learning | , A |
| Survey of single-target visual tracking methods based on online | learning | |
| survey of traditional and deep | learning | -based feature descriptors for high dimensional data in computer vision, A |
| Survey of Vision-Based Trajectory | learning | and Analysis for Surveillance, A |
| Survey on automatic lip-reading in the era of deep | learning | |
| Survey on Bayesian Deep | learning | , A |
| Survey on Curriculum | learning | , A |
| Survey on Deep | learning | Based Approaches for Action and Gesture Recognition in Image Sequences, A |
| survey on deep | learning | based face recognition, A |
| Survey on Deep | learning | for Human Activity Recognition, A |
| survey on deep | learning | methods for scene flow estimation, A |
| Survey on deep | learning | methods in human action recognition |
| Survey on Deep | learning | Technique for Video Segmentation, A |
| Survey on Deep | learning | Techniques for Stereo-Based Depth Estimation, A |
| Survey on Deep | learning | -Based Change Detection from High-Resolution Remote Sensing Images, A |
| survey on deep | learning | -based image forgery detection, A |
| Survey on Deep | learning | -based Kuzushiji Recognition |
| survey on end-to-end point cloud | learning | , A |
| Survey on Few-Shot Techniques in the Context of Computer Vision Applications Based on Deep | learning | , A |
| survey on heterogeneous network representation | learning | , A |
| Survey on Imitation | learning | Techniques for End-to-End Autonomous Vehicles, A |
| Survey on | learning | to Hash, A |
| survey on machine | learning | from few samples, A |
| Survey on Object Detection for the Internet of Multimedia Things (IoMT) using Deep | learning | and Event-based Middleware: Approaches, Challenges, and Future Directions, A |
| Survey on Statistical Modeling and Machine | learning | Approaches to Computer Assisted Medical Intervention: Intraoperative Anatomy Modeling and Optimization of Interventional Procedures, A |
| Survey on Trajectory Data Management, Analytics, and | learning | , A |
| Survey on Various Deep | learning | Algorithms for an Efficient Facial Expression Recognition System, A |
| Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme | learning | Machine |
| SUW-Learn: Joint Supervised, Unsupervised, Weakly Supervised Deep | learning | for Monocular Depth Estimation |
| SVD-Based Quality Metric for Image and Video Using Machine | learning | |
| SVGformer: Representation | learning | for Continuous Vector Graphics using Transformers |
| SViTT: Temporal | learning | of Sparse Video-Text Transformers |
| SVM Active | learning | Approach for Image Classification Using Spatial Information |
| SVM based multi-label | learning | with missing labels for image annotation |
| SVMs multi-class loss feedback based discriminative dictionary | learning | for image classification |
| SVRGSA: a hybrid | learning | based model for short-term traffic flow forecasting |
| SW-GAN: Road Extraction from Remote Sensing Imagery Using Semi-Weakly Supervised Adversarial | learning | |
| Swarm | learning | -Based Dynamic Optimal Management for Traffic Congestion in 6G-Driven Intelligent Transportation System |
| Swarm reinforcement | learning | for traffic signal control based on cooperative multi-agent framework |
| SWIS: Self-Supervised Representation | learning | for Writer Independent Offline Signature Verification |
| Switch-BERT: | learning | to Model Multimodal Interactions by Switching Attention and Input |
| Switchable Deep | learning | Approach for In-Loop Filtering in Video Coding, A |
| Switchable K-class Hyperplanes for Noise-Robust Representation | learning | |
| Switchable Normalization for | learning | -to-Normalize Deep Representation |
| Switchable Representation | learning | Framework with Self-Compatibility |
| Switchable Whitening for Deep Representation | learning | |
| Switchable-Encoder-Based Self-Supervised | learning | Framework for Monocular Depth and Pose Estimation |
| Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement | learning | |
| SWNet: A Deep | learning | Based Approach for Splashed Water Detection on Road |
| SWSSL: Sliding Window-Based Self-Supervised | learning | for Anomaly Detection in High-Resolution Images |
| Sybil Attack Identification for Crowdsourced Navigation: A Self-Supervised Deep | learning | Approach |
| Symbiotic Adversarial | learning | for Attribute-based Person Search |
| Symbol Spotting on Digital Architectural Floor Plans Using a Deep | learning | -based Framework |
| Symbolic and Subsymbolic | learning | for Vision: Some Possibilities |
| Symmetric adversarial poisoning against deep | learning | |
| Symmetric Cross Entropy for Robust | learning | With Noisy Labels |
| Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation | learning | |
| Symmetric Subspace | learning | for Image Analysis |
| Symmetrical Siamese Network Framework with Contrastive | learning | for Pose-Robust Face Recognition, A |
| Symmetry-adapted representation | learning | |
| SYMMNERF: | learning | to Explore Symmetry Prior for Single-view View Synthesis |
| Syn2Real Transfer | learning | for Image Deraining Using Gaussian Processes |
| Syncretic Modality Collaborative | learning | for Visible Infrared Person Re-Identification |
| SynDeMo: Synergistic Deep Feature Alignment for Joint | learning | of Depth and Ego-Motion |
| Synergic | learning | for noise-insensitive webly-supervised temporal action localization |
| Synergistic Application of Multiple Machine | learning | Algorithms and Hyperparameter Optimization Strategies for Net Ecosystem Productivity Prediction in Southeast Asia |
| Synergistic | learning | of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images |
| Synergistic Self-supervised and Quantization | learning | |
| Synergizing Low Rank Representation and Deep | learning | for Automatic Pavement Crack Detection |
| Synergy of ICESat-2 and Landsat for Mapping Forest Aboveground Biomass with Deep | learning | |
| Synergy-based | learning | of Facial Identity |
| SynRhythm: | learning | a Deep Heart Rate Estimator from General to Specific |
| SynSig2Vec: Forgery-Free | learning | of Dynamic Signature Representations by Sigma Lognormal-Based Synthesis and 1D CNN |
| SyntEO: Synthetic dataset generation for earth observation and deep | learning | : Demonstrated for offshore wind farm detection |
| Synthesis of High-Resolution Facial Image Based on Top-Down | learning | |
| Synthesis of multiple pose facial images using tensor-based subspace | learning | method |
| Synthesis of Visual Modules from Examples: | learning | Hyperacuity |
| Synthesis-Guided Feature | learning | for Cross-Spectral Periocular Recognition |
| Synthesize-It-Classifier: | learning | a Generative Classifier through Recurrent Self-analysis |
| Synthesized Classifiers for Zero-Shot | learning | |
| Synthesized Feature based Few-Shot Class-Incremental | learning | on a Mixture of Subspaces |
| Synthesizing Disparate LiDAR and Satellite Datasets through Deep | learning | to Generate Wall-to-Wall Regional Inventories for the Complex, Mixed-Species Forests of the Eastern United States |
| Synthesizing Photo-Realistic 3D Talking Head: | learning | Lip Synchronicity and Emotion from Audio and Video |
| Synthesizing Supervision for | learning | Deep Saliency Network without Human Annotation |
| Synthetic Aperture Radar (SAR) Meets Deep | learning | |
| Synthetic Data Generation for Deep | learning | -Based Inversion for Velocity Model Building |
| Synthetic Data Generation Pipeline for Geometric Deep | learning | In Architecture |
| Synthetic Data of Randomly Piled, Similar Objects for Deep | learning | -Based Object Detection |
| Synthetic Expressions are Better Than Real for | learning | to Detect Facial Actions |
| Synthetic | learning | : Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data |
| Synthetic pattern generation for imbalanced | learning | in image retrieval |
| Synthetic Sample Selection for Generalized Zero-Shot | learning | |
| Synthetic Spermatozoa Video Sequences Generation Using Adversarial Imitation | learning | |
| Synthetic18K: | learning | Better Representations for Person Re-ID and Attribute Recognition from 1.4 Million Synthetic Images |
| Synthetically Supervised Feature | learning | for Scene Text Recognition |
| SynthMorph: | learning | Contrast-Invariant Registration Without Acquired Images |
| SynthRel0: Towards a Diagnostic Dataset for Relational Representation | learning | |
| SynthWakeSAR: A Synthetic SAR Dataset for Deep | learning | Classification of Ships at Sea |
| SYQ: | learning | Symmetric Quantization for Efficient Deep Neural Networks |
| system based on sequence | learning | for event detection in surveillance video, A |
| System for | learning | Statistical Motion Patterns, A |
| Systematic Collection of Medical Image Datasets for Deep | learning | , A |
| Systematic Deep | learning | Model Selection for P300-Based Brain-Computer Interfaces, A |
| Systematic Literature Review on Crop Yield Prediction with Deep | learning | and Remote Sensing, A |
| Systematic Review on Imbalanced Data Challenges in Machine | learning | : Applications and Solutions, A |
| T-AutoML: Automated Machine | learning | for Lesion Segmentation using Transformers in 3D Medical Imaging |
| T-Net: Effective Permutation-Equivariant Network for Two-View Correspondence | learning | |
| Tack Project: Tunnel and Bridge Automatic Crack Monitoring Using Deep | learning | and Photogrammetry |
| Tackling 3D ToF Artifacts Through | learning | and the FLAT Dataset |
| Tackling Climate Change with Machine | learning | |
| Tackling Micro-Expression Data Shortage via Dataset Alignment and Active | learning | |
| TACo: Token-aware Cascade Contrastive | learning | for Video-Text Alignment |
| TAFE-Net: Task-Aware Feature Embeddings for Low Shot | learning | |
| Tafssl: Task-adaptive Feature Sub-space | learning | for Few-shot Classification |
| Tag Propagation and Cost-Sensitive | learning | for Music Auto-Tagging |
| Tag Refinement for User-Contributed Images via Graph | learning | and Nonnegative Tensor Factorization |
| Tag Taxonomy Aware Dictionary | learning | for Region Tagging |
| TAGNet: | learning | Configurable Context Pathways for Semantic Segmentation |
| TagProp: Discriminative metric | learning | in nearest neighbor models for image auto-annotation |
| Tailoring Self-Supervision for Supervised | learning | |
| Taking a Closer Look at Factor Disentanglement: Dual-Path Variational Autoencoder | learning | for Domain Generalization |
| Taking a Closer Look At Visual Relation: Unbiased Video Scene Graph Generation With Decoupled Label | learning | |
| TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task | learning | |
| Tale of Two CILs: The Connections between Class Incremental | learning | and Class Imbalanced Learning, and Beyond, A |
| Tale of Two CILs: The Connections between Class Incremental | learning | and Class Imbalanced Learning, and Beyond, A |
| Talisman: Targeted Active | learning | for Object Detection with Rare Classes and Slices Using Submodular Mutual Information |
| Talking Detection in Collaborative | learning | Environments |
| Talking Face Generation via | learning | Semantic and Temporal Synchronous Landmarks |
| Taming Contrast Maximization for | learning | Sequential, Low-latency, Event-based Optical Flow |
| Tangent-Normal Adversarial Regularization for Semi-Supervised | learning | |
| Tangible Interaction in | learning | Astronomy through Augmented Reality Book-Based Educational Tool |
| Tangible versus Intangible in e- | learning | on Cultural Heritage: From Online Learning to On-site Study of Historic Sites |
| Tangible versus Intangible in e- | learning | on Cultural Heritage: From Online Learning to On-site Study of Historic Sites |
| Target Aware Network Adaptation for Efficient Representation | learning | |
| Target Detection Adapting to Spectral Variability in Multi-Temporal Hyperspectral Images Using Implicit Contrastive | learning | |
| Target Detection Network for SAR Images Based on Semi-Supervised | learning | and Attention Mechanism |
| Target Discrimination Based on Weakly Supervised | learning | for High-Resolution SAR Images in Complex Scenes |
| Target retrieval in large-scale and high-resolution synthetic aperture radar imagery based on deep | learning | and multi-scale saliency |
| Target Tracking Control of UAV Through Deep Reinforcement | learning | |
| Target-aware Dual Adversarial | learning | and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection |
| Target-color | learning | and its detection for non-stationary scenes by nearest neighbor classification in the spatio-color space |
| Target-Distractor Aware Deep Tracking With Discriminative Enhancement | learning | Loss |
| TARGET: Federated Class-Continual | learning | via Exemplar-Free Distillation |
| Targeted Supervised Contrastive | learning | for Long-Tailed Recognition |
| Targeting Plastics: Machine | learning | Applied to Litter Detection in Aerial Multispectral Images |
| Tarragona Graph Database for Machine | learning | Based on Graphs |
| Task Adaptive Parameter Sharing for Multi-Task | learning | |
| Task Agnostic Meta- | learning | for Few-Shot Learning |
| Task Agnostic Meta- | learning | for Few-Shot Learning |
| Task Agnostic Robust | learning | on Corrupt Outputs by Correlation-Guided Mixture Density Networks |
| Task decomposition and modular single-hidden-layer perceptron classifiers for multi-class | learning | problems |
| Task Difficulty Aware Parameter Allocation and Regularization for Lifelong | learning | |
| Task Encoding With Distribution Calibration for Few-Shot | learning | |
| Task Programming: | learning | Data Efficient Behavior Representations |
| Task Switching Network for Multi-task | learning | |
| Task weighting based on particle filter in deep multi-task | learning | with a view to uncertainty and performance |
| Task-Adaptive Embedding | learning | with Dynamic Kernel Fusion for Few-Shot Remote Sensing Scene Classification |
| Task-adaptive Few-shot | learning | on Sphere Manifold |
| Task-Agnostic Continual | learning | Using Base-Child Classifiers |
| Task-Agnostic Vision Transformer for Distributed | learning | of Image Processing |
| Task-Aware Adaptive | learning | for Cross-domain Few-Shot Learning |
| Task-Aware Adaptive | learning | for Cross-domain Few-Shot Learning |
| Task-Aware Few-Shot Visual Classification with Improved Self-Supervised Metric | learning | |
| Task-Aware Graph Convolutional Network for Active | learning | |
| Task-aware Part Mining Network for Few-Shot | learning | |
| Task-Aware Variational Adversarial Active | learning | |
| Task-based Focal Loss for Adversarially Robust Meta- | learning | |
| Task-dependent multi-task multiple kernel | learning | for facial action unit detection |
| Task-Driven Dictionary | learning | |
| Task-Driven Dictionary | learning | for Hyperspectral Image Classification With Structured Sparsity Constraints |
| Task-Driven Invertible Projection Matrix | learning | Algorithm for Hyperspectral Compressed Sensing, A |
| Task-Driven | learning | of Spatial Combinations of Visual Features |
| Task-Driven Modular Networks for Zero-Shot Compositional | learning | |
| Task-Driven Self-Supervised BI-Channel Networks | learning | for Diagnosis of Breast Cancers with Mammography |
| Task-Driven Semantic Coding via Reinforcement | learning | |
| Task-Feature Collaborative | learning | with Application to Personalized Attribute Prediction |
| Task-Free Continual | learning | |
| Task-Oriented Multi-Modal Mutual | learning | for Vision-Language Models |
| Task-Risk Consistency Object Detection Framework Based on Deep Reinforcement | learning | , A |
| Task-specific contrastive | learning | for few-shot remote sensing image scene classification |
| Task-Specific Normalization for Continual | learning | of Blind Image Quality Models |
| Task2Vec: Task Embedding for Meta- | learning | |
| Taskonomy: Disentangling Task Transfer | learning | |
| Tattoo detection and localization using region-based deep | learning | |
| Tattoo Image Search at Scale: Joint Detection and Compact Representation | learning | |
| Taxi Demand Prediction Using Parallel Multi-Task | learning | Model |
| Taxi-Based Mobility Demand Formulation and Prediction Using Conditional Generative Adversarial Network-Driven | learning | Approaches |
| Taxonomy Driven | learning | of Semantic Hierarchy of Classes |
| TBAL: Two-stage batch-mode active | learning | for image classification |
| TBE-Net: A Three-Branch Embedding Network With Part-Aware Ability and Feature Complementary | learning | for Vehicle Re-Identification |
| TBP-Former: | learning | Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving |
| TCD-Net: A Novel Deep | learning | Framework for Fully Polarimetric Change Detection Using Transfer Learning |
| TCD-Net: A Novel Deep | learning | Framework for Fully Polarimetric Change Detection Using Transfer Learning |
| TCDesc: | learning | Topology Consistent Descriptors for Image Matching |
| TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation | learning | |
| TCGM: An Information-theoretic Framework for Semi-supervised Multi-modality | learning | |
| tCheXNet: Detecting Pneumothorax on Chest X-Ray Images Using Deep Transfer | learning | |
| TCLiVi: Transmission Control in Live Video Streaming Based on Deep Reinforcement | learning | |
| TCLR: Temporal contrastive | learning | for video representation |
| TCM-Net: Mixed Global-Local | learning | for Salient Object Detection in Optical Remote Sensing Images |
| TCSPANet: Two-Staged Contrastive | learning | and Sub-Patch Attention Based Network for PolSAR Image Classification |
| TCVM: Temporal Contrasting Video Montage Framework for Self-Supervised Video Representation | learning | |
| Teacher and Student Joint | learning | for Compact Facial Landmark Detection Network |
| Teacher or supervisor? Effective online knowledge distillation via guided collaborative | learning | |
| Teacher-directed | learning | in view-independent face recognition with mixture of experts using overlapping eigenspaces |
| Teacher-directed | learning | in view-independent face recognition with mixture of experts using single-view eigenspaces |
| Teacher-guided | learning | for Blind Image Quality Assessment |
| Teacher-Student | learning | Based on Composed Ground-Truth Images for Accurate Cephalometric Landmark Detection, A |
| Teacher-Student | learning | : Efficient Hierarchical Message Aggregation Hashing for Cross-Modal Retrieval |
| Teaching Computer Programming with Mathematics for Generating Digital Videos and Machine | learning | Optimization |
| Teaching Squeeze-and-Excitation PyramidNet for Imbalanced Image Classification with GAN-based Curriculum | learning | |
| Technical Perspective: What Led Computer Vision to Deep | learning | ? |
| Tell Your Story: Text-Driven Face Video Synthesis with High Diversity via Adversarial | learning | |
| Telling Left From Right: | learning | Spatial Correspondence of Sight and Sound |
| Temperature network for few-shot | learning | with distribution-aware large-margin metric |
| Template | learning | from Atomic Representations: A Wavelet Based Approach to Pattern Analysis |
| template matching approach of one-shot- | learning | gesture recognition, A |
| Temporal Action Localization Based on Temporal Evolution Model and Multiple Instance | learning | |
| Temporal Action Localization in the Deep | learning | Era: A Survey |
| Temporal Action Proposal Generation via Multi-Task Feature | learning | |
| Temporal Alignment for History Representation in Reinforcement | learning | |
| Temporal and Cross-modal Attention for Audio-Visual Zero-Shot | learning | |
| Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive | learning | |
| Temporal augmented contrastive | learning | for micro-expression recognition |
| Temporal Coherence for Active | learning | in Videos |
| Temporal Complementarity-Guided Reinforcement | learning | for Image-to-Video Person Re-Identification |
| Temporal Complementary | learning | for Video Person Re-identification |
| Temporal Consistency | learning | of Inter-Frames for Video Super-Resolution |
| Temporal Consistent 3D LiDAR Representation | learning | for Semantic Perception in Autonomous Driving |
| Temporal Context Aggregation for Video Retrieval with Contrastive | learning | |
| Temporal Cycle-Consistency | learning | |
| temporal deep | learning | approach for MR perfusion parameter estimation in stroke, A |
| Temporal difference | learning | to detect unsafe system states |
| Temporal Difference-Aware Graph Convolutional Reinforcement | learning | for Multi-Intersection Traffic Signal Control |
| Temporal Discriminative Micro-Expression Recognition via Graph Contrastive | learning | |
| Temporal Distinct Representation | learning | for Action Recognition |
| Temporal Domain Neural Encoder for Video Representation | learning | |
| Temporal Extension Topology | learning | for Video-based Person Re-identification |
| Temporal Feature | learning | and Pulse Prediction for Radars with Variable Parameters |
| Temporal Knowledge Consistency for Unsupervised Visual Representation | learning | |
| Temporal Multimodal | learning | in Audiovisual Speech Recognition |
| Temporal objectness: Model-free | learning | of object proposals in video |
| Temporal Representation | learning | on Monocular Videos for 3D Human Pose Estimation |
| Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse | learning | |
| Temporal Scheme for Fast | learning | of Image-Patch Correspondences in Realistic Multi-camera Setups, A |
| Temporal Sequence | learning | for Action Recognition and Prediction, A |
| Temporal Transformer Networks: Joint | learning | of Invariant and Discriminative Time Warping |
| Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine | learning | Regression |
| Temporal weighted | learning | model for background estimation with an automatic re-initialization stage and adaptive parameters update |
| Temporal-Aware Self-Supervised | learning | for 3D Hand Pose and Mesh Estimation in Videos |
| Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: | learning | with Event-Driven Backpropagation |
| Temporal-Difference | learning | -Based Stochastic Energy Management for Plug-in Hybrid Electric Buses |
| Temporal-MPI: Enabling Multi-plane Images for Dynamic Scene Modelling via Temporal Basis | learning | |
| Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement | learning | |
| Temporally Coherent Embeddings for Self-Supervised Video Representation | learning | |
| Ten simple rules for reporting machine | learning | methods implementation and evaluation on biomedical data |
| Tensor based completion meets adversarial | learning | : A win-win solution for change detection on unseen videos |
| Tensor Dictionary | learning | for Positive Definite Matrices |
| Tensor Dictionary Self-Taught | learning | Classification Method for Hyperspectral Image |
| Tensor feature hallucination for few-shot | learning | |
| Tensor | learning | for Regression |
| Tensor Methods in Computer Vision and Deep | learning | |
| Tensor Multi-Task | learning | for Person Re-Identification |
| Tensor rank | learning | in CP decomposition via convolutional neural network |
| Tensor representation | learning | based image patch analysis for text identification and recognition |
| Tensor Subspace | learning | and Classification: Tensor Local Discriminant Embedding for Hyperspectral Image |
| Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine | learning | |
| tensor-based deep | learning | framework, A |
| Tensor-Based Dictionary | learning | for Spectral CT Reconstruction |
| Tensor-Based Low-Dimensional Representation | learning | for Multi-View Clustering |
| Tensor-based subspace | learning | for tracking salt-dome boundaries |
| Tensor-Based Transductive | learning | for Multimodality Video Semantic Concept Detection |
| Tensorial Multi-View Clustering via Low-Rank Constrained High-Order Graph | learning | |
| Tensorize, Factorize and Regularize: Robust Visual Relationship | learning | |
| Tensorized Bipartite Graph | learning | for Multi-View Clustering |
| Tensorized Multi-view Subspace Representation | learning | |
| Ternary Feature Masks: zero-forgetting for task-incremental | learning | |
| Terrain feature-aware deep | learning | network for digital elevation model superresolution |
| Terrain Modeling Using Machine | learning | Methods |
| Terrestrial Laser Scanner Data Denoising by Dictionary | learning | of Sparse Coding |
| TeSLA: Test-Time Self- | learning | With Automatic Adversarial Augmentation |
| Test-Time Adaptation for Video Frame Interpolation via Meta- | learning | |
| Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary | learning | |
| TexPose: Neural Texture | learning | for Self-Supervised 6D Object Pose Estimation |
| Text alignment in early printed books combining deep | learning | and dynamic programming |
| Text and Documents in the Deep | learning | Era |
| Text Detection and Character Recognition in Scene Images with Unsupervised Feature | learning | |
| Text Detection System for Natural Scenes with Convolutional Feature | learning | and Cascaded Classification, A |
| Text zone classification using unsupervised feature | learning | |
| Text-based image retrieval using progressive multi-instance | learning | |
| Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement | learning | Method |
| Text-guided visual representation | learning | for medical image retrieval systems |
| Text-to-image synthesis with self-supervised | learning | |
| Text2Shape: Generating Shapes from Natural Language by | learning | Joint Embeddings |
| Text2Sketch: | learning | Face Sketch from Facial Attribute Text |
| Text2Video: An End-to-end | learning | Framework for Expressing Text With Videos |
| TextAdaIN: Paying Attention to Shortcut | learning | in Text Recognizers |
| TextField: | learning | a Deep Direction Field for Irregular Scene Text Detection |
| Textile Defect Detection Algorithm Based on Unsupervised | learning | |
| Textural Adaptive | learning | -Based Super Resolution for Human Face Images |
| Texture and Structure Incorporated ScatterNet Hybrid Deep | learning | Network (TS-SHDL) for Brain Matter Segmentation |
| Texture Based Supervised | learning | for Crater-Like Structures Recognition Using ALOS/PALSAR Images |
| Texture Classification and Segmentation by Cellular Neural Networks Using Genetic | learning | |
| Texture classification by cellular neural network and genetic | learning | |
| Texture classification via patch-based sparse texton | learning | |
| Texture Features and | learning | Similarity |
| Texture Fields: | learning | Texture Representations in Function Space |
| Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive | learning | |
| Texture | learning | Domain Randomization for Domain Generalized Segmentation |
| Texture segmentation by frequency-sensitive elliptical competitive | learning | |
| Texture-aware and color-consistent | learning | for underwater image enhancement |
| Texture-Guided Transfer | learning | for Low-Quality Face Recognition |
| TextureNet: Consistent Local Parametrizations for | learning | From High-Resolution Signals on Meshes |
| TGLSTM: A time based graph deep | learning | approach to gait recognition |
| Theoretical analysis of | learning | local anchors for classification |
| Theoretical Approach for Forecasting Different Types of Drought Simultaneously, Using Entropy Theory and Machine- | learning | Methods, A |
| Theoretical guarantee for crowdsourcing | learning | with unsure option |
| Theoretical Understanding of the Information Flow on Continual | learning | Performance |
| Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric | learning | , A |
| Theory of Networks for Approximation and | learning | , A |
| Thermal Imagery Feature Extraction Techniques and the Effects on Machine | learning | Models for Smart HVAC Efficiency in Building Energy |
| Thermal imaging method to evaluate childhood obesity based on machine | learning | techniques |
| Thermal to Visual Person Re-Identification Using Collaborative Metric | learning | Based on Maximum Margin Matrix Factorization |
| Thermokarst Lake Susceptibility Assessment Induced by Permafrost Degradation in the Qinghai-Tibet Plateau Using Machine | learning | Methods |
| They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised | learning | |
| Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep | learning | |
| Thigh fracture detection using deep | learning | method based on new dilated convolutional feature pyramid network |
| Thin-Slicing for Pose: | learning | to Understand Pose without Explicit Pose Estimation |
| THoR-Magni: Comparative Analysis of Deep | learning | Models for Role-conditioned Human Motion Prediction |
| Three Dimensional Model-Based Tracking Using Texture | learning | and Matching |
| Three Guidelines of Online | learning | for Large-Scale Visual Recognition |
| Three Guidelines You Should Know for Universally Slimmable Self-Supervised | learning | |
| Three-D Safari: | learning | to Estimate Zebra Pose, Shape, and Texture From Images In the Wild |
| Three-dimensional affinity | learning | based multi-branch ensemble network for breast tumor segmentation in MRI |
| Three-Dimensional Geometry Reconstruction Method from Multi-View ISAR Images Utilizing Deep | learning | |
| Three-dimensional machine vision and machine- | learning | algorithms applied to quality control of percussion caps |
| Three-dimensional photogrammetry with deep | learning | instance segmentation to extract berry fruit harvestability traits |
| Three-dimensional reconstruction of CT image features based on multi-threaded deep | learning | calculation |
| Three-Fast-Inter Incremental Association Markov Blanket | learning | algorithm |
| Three-Layered Graph-Based | learning | Approach for Remote Sensing Image Retrieval, A |
| Three-step action search networks with deep Q- | learning | for real-time object tracking |
| Threshold Auto-Tuning Metric | learning | |
| Thresholded | learning | Matrix for Efficient Pattern Recalling |
| Thresholding Based on | learning | Theory |
| TI-POOLING: Transformation-Invariant Pooling for Feature | learning | in Convolutional Neural Networks |
| TICNN: A Hierarchical Deep | learning | Framework for Still Image Action Recognition Using Temporal Image Prediction |
| TiDAL: | learning | Training Dynamics for Active Learning |
| TiDAL: | learning | Training Dynamics for Active Learning |
| Tighter Regret Analysis and Optimization of Online Federated | learning | |
| Time Series Analysis of Land Cover Change Using Remotely Sensed and Multisource Urban Data Based on Machine | learning | : A Case Study of Shenzhen, China from 1979 to 2022 |
| Time series classifier recommendation by a meta- | learning | approach |
| Time series cluster kernel for | learning | similarities between multivariate time series with missing data |
| Time series feature | learning | with labeled and unlabeled data |
| Time Varying Metric | learning | for visual tracking |
| Time warp invariant kSVD: Sparse coding and dictionary | learning | for time series under time warp |
| Time-constrained | learning | |
| Time-Contrastive Networks: Self-Supervised | learning | from Multi-view Observation |
| Time-efficient | learning | theoretic algorithms for H.264 mode selection |
| Time-Equivariant Contrastive Video Representation | learning | |
| Time-frequency fusion | learning | for photoplethysmography biometric recognition |
| Time-Series InSAR with Deep- | learning | -Based Topography-Dependent Atmospheric Delay Correction for Potential Landslide Detection |
| time-series prediction framework using sequential | learning | algorithms and dimensionality reduction within a sparsification approach, A |
| Timed-image based deep | learning | for action recognition in video sequences |
| TimelyFL: Heterogeneity-aware Asynchronous Federated | learning | with Adaptive Partial Training |
| Timid semi-supervised | learning | for face expression analysis |
| TinyOps: ImageNet Scale Deep | learning | on Microcontrollers |
| Tips and Tricks for Visual Question Answering: | learning | s from the 2017 Challenge |
| Tire Force Estimation in Intelligent Tires Using Machine | learning | |
| TKIL: Tangent Kernel Optimization for Class Balanced Incremental | learning | |
| TkML-AP: Adversarial Attacks to Top-k Multi-Label | learning | |
| To Actively Initialize Active | learning | |
| To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using Machine | learning | |
| To combine steady-state genetic algorithm and ensemble | learning | for data clustering |
| To Veer or Not to Veer: | learning | from Experts How to Stay Within the Crosswalk |
| TokenHPE: | learning | Orientation Tokens for Efficient Head Pose Estimation via Transformers |
| TokenPose: | learning | Keypoint Tokens for Human Pose Estimation |
| TOM-Net: | learning | Transparent Object Matting from a Single Image |
| Tomato leaf disease classification by exploiting transfer | learning | and feature concatenation |
| Tomographic Reconstruction Via 3D Convolutional Dictionary | learning | |
| Tone mapping high dynamic range images based on region-adaptive self-supervised deep | learning | |
| Tool to Enhance the Capacity for Deep | learning | Based Object Detection and Tracking with UAV Data, A |
| Tooth-Marked Tongue Recognition Using Multiple Instance | learning | and CNN Features |
| Top-down and bottom-up attentional multiple instance | learning | for still image action recognition |
| Top-Down | learning | for Structured Labeling with Convolutional Pseudoprior |
| Top-Down Visual Saliency via Joint CRF and Dictionary | learning | |
| Top-Push Constrained Modality-Adaptive Dictionary | learning | for Cross-Modality Person Re-Identification |
| TOP-SIFT: the selected SIFT descriptor based on dictionary | learning | |
| Top-tuning: A study on transfer | learning | for an efficient alternative to fine tuning for image classification with fast kernel methods |
| Topic driven multimodal similarity | learning | with multi-view voted convolutional features |
| Topic-aware latent models for representation | learning | on networks |
| Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph | learning | |
| Topo-CXR: Chest X-ray TB and Pneumonia Screening with Topological Machine | learning | |
| TopoAL: An Adversarial | learning | Approach for Topology-aware Road Segmentation |
| Topological Loss Function for Deep- | learning | Based Image Segmentation Using Persistent Homology, A |
| Topology Description for Data Distributions Using a Topology Graph With Divide-and-Combine | learning | Strategy |
| Topology Identification and | learning | over Graphs: Accounting for Nonlinearities and Dynamics |
| Topology-preserving Class-incremental | learning | |
| Topology-preserving transfer | learning | for weakly-supervised anomaly detection and segmentation |
| Topometric Imitation | learning | For Route Following Under Appearance Change |
| Torch-Points3D: A Modular Multi-Task Framework for Reproducible Deep | learning | on 3D Point Clouds |
| Torch: Machine- | learning | Library |
| Total Denoising: Unsupervised | learning | of 3D Point Cloud Cleaning |
| ToThePoint: Efficient Contrastive | learning | of 3D Point Clouds via Recycling |
| Tour in the Archaeological Site of Choirokoitia Using Virtual Reality: A | learning | Performance and Interest Generation Assessment, A |
| Toward a blind image quality evaluator in the wild by | learning | beyond human opinion scores |
| Toward a Dynamic Reversible Lane Management Strategy by Empowering | learning | -Based Predictive Assignment Scheme |
| Toward a General Solution to the Symbol Grounding Problem: Combining | learning | and Computer Vision |
| Toward a generic representation of random variables for machine | learning | |
| Toward a Stage-wise Classification of Date Palm White Scale Disease using Features Extraction and Machine | learning | Techniques |
| Toward a virtual | learning | environment based on agile learner-centered design |
| Toward Attack-Resistant Route Mutation for VANETs: An Online and Adaptive Multiagent Reinforcement | learning | Approach |
| Toward Automated Classroom Observation: Multimodal Machine | learning | to Estimate CLASS Positive Climate and Negative Climate |
| Toward Automated Machine | learning | -Based Hyperspectral Image Analysis in Crop Yield and Biomass Estimation |
| Toward Automatic Robot Programming: | learning | Human Skill from Visual Data |
| Toward Automation of | learning | : The State Self-Organization Problem for a Face Recognizer |
| Toward Discovery of the Artist's Style: | learning | to recognize artists by their artworks |
| Toward Driving Scene Understanding: A Dataset for | learning | Driver Behavior and Causal Reasoning |
| Toward Effective Image Manipulation Detection With Proposal Contrastive | learning | |
| Toward End-to-End Face Recognition Through Alignment | learning | |
| Toward Fast Transform | learning | |
| Toward Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric | learning | Approach |
| Toward Interactive Self-Annotation For Video Object Bounding Box: Recurrent Self- | learning | And Hierarchical Annotation Based Framework |
| Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep | learning | Algorithms: A Case Study of Olive Orchards in Morocco |
| Toward | learning | a unified many-to-many mapping for diverse image translation |
| Toward | learning | Visual Discrimination Strategies |
| Toward Model-Generated Household Listing in Low- and Middle-Income Countries Using Deep | learning | |
| Toward Multi-Stage Phenotyping of Soybean with Multimodal UAV Sensor Data: A Comparison of Machine | learning | Approaches for Leaf Area Index Estimation |
| Toward Open-World Electroencephalogram Decoding Via Deep | learning | : A comprehensive survey |
| Toward Optimal MEC-Based Collision Avoidance System for Cooperative Inland Vessels: A Federated Deep | learning | Approach |
| Toward Optimal Real-Time Volumetric Video Streaming: A Rolling Optimization and Deep Reinforcement | learning | Based Approach |
| Toward Realistic Image Compositing With Adversarial | learning | |
| Toward Realistic Single-View 3D Object Reconstruction with Unsupervised | learning | from Multiple Images |
| Toward Robots' Behavioral Transparency of Temporal Difference Reinforcement | learning | With a Human Teacher |
| Toward Robust Hierarchical Federated | learning | in Internet of Vehicles |
| Toward Safe and Smart Mobility: Energy-Aware Deep | learning | for Driving Behavior Analysis and Prediction of Connected Vehicles |
| Toward Safer Vehicular Transit: Implementing Deep | learning | on Single Channel EEG Systems for Microsleep Detection |
| Toward semantic attributes in dictionary | learning | and non-negative matrix factorization |
| Toward Unified Token | learning | for Vision-Language Tracking |
| Toward Wi-Fi AP-Assisted Content Prefetching for an On-Demand TV Series: A | learning | -Based Approach |
| Towards a Deep- | learning | -Based Framework of Sentinel-2 Imagery for Automated Active Fire Detection |
| Towards a Deeper Understanding of Global Covariance Pooling in Deep | learning | : An Optimization Perspective |
| Towards a hybrid | learning | model for the higher education system in Morocco |
| Towards a Mathematical Understanding of the Difficulty in | learning | with Feedforward Neural Networks |
| Towards a Modular Network-Distributed Mixed-Reality | learning | Space System |
| Towards a More Realistic and Detailed Deep- | learning | -Based Radar Echo Extrapolation Method |
| Towards a Multi-Temporal Deep | learning | Approach for Mapping Urban Fabric Using Sentinel 2 Images |
| Towards a new adaptive E- | learning | framework for adapting content to presentation |
| Towards a new method for classifying employee performance using machine | learning | algorithms |
| Towards a Supervised Incremental | learning | System for Automatic Recognition of the Skeletal Age |
| Towards a Theoretical Framework for | learning | Multi-modal Patterns for Embodied Agents |
| Towards a theory of compositional | learning | and encoding of objects |
| Towards Active | learning | for Action Spotting in Association Football Videos |
| Towards Active Vision for Action Localization with Reactive Control and Predictive | learning | |
| Towards adaptive | learning | with improved convergence of deep belief networks on graphics processing units |
| Towards assessing agricultural land suitability with causal machine | learning | |
| Towards Attack-tolerant Federated | learning | via Critical Parameter Analysis |
| Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised | learning | and Deformable Transformers |
| Towards Automated Target Picking in Scalar Magnetic Unexploded Ordnance Surveys: An Unsupervised Machine | learning | Approach for Defining Inversion Priors |
| Towards Automatic Extraction and Updating of VGI-Based Road Networks Using Deep | learning | |
| Towards Automatic Image Editing: | learning | to See another |
| Towards automatic threat detection: A survey of advances of deep | learning | within X-ray security imaging |
| Towards Backward-Compatible Representation | learning | |
| Towards Balanced | learning | for Instance Recognition |
| Towards Benthic Habitat 3D Mapping Using Machine | learning | Algorithms and Structures from Motion Photogrammetry |
| Towards Better Generalization: Joint Depth-Pose | learning | Without PoseNet |
| Towards Better Plasticity-Stability Trade-off in Incremental | learning | : A Simple Linear Connector |
| Towards Bridged Vision and Language: | learning | Cross-Modal Knowledge Representation for Relation Extraction |
| Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed | learning | |
| Towards Classification of Architectural Styles of Chinese Traditional Settlements Using Deep | learning | : A Dataset, a New Framework, and Its Interpretability |
| Towards Compact 1-bit CNNs via Bayesian | learning | |
| Towards Compact Autonomous Driving Perception With Balanced | learning | and Multi-Sensor Fusion |
| Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement | learning | |
| Towards Computational Baby | learning | : A Weakly-Supervised Approach for Object Detection |
| Towards Computer Vision and Deep | learning | Facilitated Pollination Monitoring for Agriculture |
| Towards Contextual | learning | in Few-shot Object Classification |
| Towards Continual Egocentric Activity Recognition: A Multi-Modal Egocentric Activity Dataset for Continual | learning | |
| Towards Continuous Control for Mobile Robot Navigation: A Reinforcement | learning | and Slam Based Approach |
| Towards Cross Domain Transfer | learning | for Underwater Correspondence Search |
| Towards cross-category knowledge propagation for | learning | visual concepts |
| Towards Cross-Domain | learning | for Social Video Popularity Prediction |
| Towards cumulative race time regression in sports: I3D ConvNet transfer | learning | in ultra-distance running events |
| Towards Deep | learning | for Architecture: A Monument Recognition Mobile App |
| Towards Deep | learning | -Based Sarcopenia Screening with Body Joint Composition Analysis |
| Towards deeper match for multi-view oriented multiple kernel | learning | |
| Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance | learning | |
| Towards Dense 3D Reconstruction for Mixed Reality in Healthcare: Classical Multi-View Stereo vs Deep | learning | |
| Towards Detecting High-Uptake Lesions from Lung CT Scans Using Deep | learning | |
| Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive | learning | |
| Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised | learning | |
| Towards Discriminative Representation | learning | for Unsupervised Person Re-identification |
| Towards Discriminative Representation: Multi-view Trajectory Contrastive | learning | for Online Multi-object Tracking |
| Towards Effective Collaborative | learning | in Long-Tailed Recognition |
| Towards Effective Deep Embedding for Zero-Shot | learning | |
| Towards Effective Visual Representations for Partial-Label | learning | |
| Towards Efficient and Effective Self-supervised | learning | of Visual Representations |
| Towards Enabling Binary Decomposition for Partial Multi-Label | learning | |
| Towards End-to-end | learning | of Visual Inertial Odometry with an EKF |
| Towards Equivariant Optical Flow Estimation with Deep | learning | |
| Towards Exemplar-Free Continual | learning | in Vision Transformers: an Account of Attention, Functional and Weight Regularization |
| Towards Fair Cross-Domain Adaptation via Generative | learning | |
| Towards Fair Federated | learning | with Zero-Shot Data Augmentation |
| Towards Faster and Better Federated | learning | : A Feature Fusion Approach |
| Towards Federated | learning | in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach |
| Towards Few-Annotation | learning | for Object Detection: Are Transformer-based Models More Efficient? |
| Towards Fewer Annotations: Active | learning | via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation |
| Towards Fine-Grained Open Zero-Shot | learning | : Inferring Unseen Visual Features from Attributes |
| Towards Fine-grained Sampling for Active | learning | in Object Detection |
| Towards Fraudulent URL Classification with Large Language Model based on Deep | learning | |
| Towards Generalizable DEEPFAKE Face Forgery Detection with Semi-Supervised | learning | and Knowledge Distillation |
| Towards generalizable detection of face forgery via self-guided model-agnostic | learning | |
| Towards generalized morphing attack detection by | learning | residuals |
| Towards generic image classification using tree-based | learning | : An extensive empirical study |
| Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency | learning | |
| Towards good practice in large-scale | learning | for image classification |
| Towards Grand Unified Representation | learning | for Unsupervised Visible-Infrared Person Re-Identification |
| Towards Hierarchical Regional Transformer-based Multiple Instance | learning | |
| Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised | learning | and Ray Tracing |
| Towards Imitation | learning | of Grasping Movements by an Autonomous Robot |
| Towards Improved and Interpretable Deep Metric | learning | via Attentive Grouping |
| Towards Improving the Accuracy of Sensorless Freehand 3D Ultrasound by | learning | |
| Towards Inadequately Pre-trained Models in Transfer | learning | |
| Towards Instance-adaptive Inference for Federated | learning | |
| Towards Interactive Breast Tumor Classification Using Transfer | learning | |
| Towards Interpretable Deep Metric | learning | with Structural Matching |
| Towards Interpretable Deep Reinforcement | learning | Models via Inverse Reinforcement Learning |
| Towards Interpretable Deep Reinforcement | learning | Models via Inverse Reinforcement Learning |
| Towards Latent Space Optimization of GANs Using Meta- | learning | |
| Towards | learning | a Generic Agent for Vision-and-Language Navigation via Pre-Training |
| Towards | learning | a Realistic Rendering of Human Behavior |
| Towards | learning | Affine-Invariant Representations via Data-Efficient CNNs |
| Towards | learning | Free Naive Bayes Nearest Neighbor-Based Domain Adaptation |
| Towards | learning | Hierarchical Compositional Models in the Presence of Clutter |
| Towards | learning | Low-light Indoor Semantic Segmentation With Illumination-invariant Features |
| Towards | learning | Multi-Agent Negotiations via Self-Play |
| Towards | learning | Multi-Domain Crowd Counting |
| Towards | learning | Neural Representations from Shadows |
| Towards | learning | Robotic Reaching and Pointing: An Uncalibrated Visual Servoing Approach |
| Towards | learning | Spatially Discriminative Feature Representations |
| Towards | learning | Structure via Consensus for Face Segmentation and Parsing |
| Towards Man-Machine Interfaces: Combining Top-down Constraints with Bottom-up | learning | in Facial Analysis |
| Towards Mathematical Reasoning: A Multimodal Deep | learning | Approach |
| Towards Neural Charged Particle Tracking in Digital Tracking Calorimeters With Reinforcement | learning | |
| Towards Non Invasive Diagnosis of Scoliosis Using Semi-supervised | learning | Approach |
| Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep | learning | through Simulating Acquisition Conditions |
| Towards Open Zero-Shot | learning | |
| Towards open-set text recognition via label-to-prototype | learning | |
| Towards open-set touchless palmprint recognition via weight-based meta metric | learning | |
| Towards operational atmospheric correction of airborne hyperspectral imaging spectroscopy: Algorithm evaluation, key parameter analysis, and machine | learning | emulators |
| Towards Optimal Structured CNN Pruning via Generative Adversarial | learning | |
| Towards Perspective-Free Object Counting with Deep | learning | |
| Towards plug-and-play visual surveillance: | learning | tracking models |
| Towards Pointsets Representation | learning | via Self-Supervised Learning and Set Augmentation |
| Towards Pointsets Representation | learning | via Self-Supervised Learning and Set Augmentation |
| Towards Real-Time Video Caching at Edge Servers: A Cost-Aware Deep Q- | learning | Solution |
| Towards Realistic Evaluation of Industrial Continual | learning | Scenarios with an Emphasis on Energy Consumption and Computational Footprint |
| Towards Realistic Long-Tailed Semi-Supervised | learning | : Consistency is All You Need |
| Towards Realistic Semi-supervised | learning | |
| Towards Robust and Reproducible Active | learning | using Neural Networks |
| Towards Robust Defect Detection in Casting Using Contrastive | learning | |
| Towards Robust Discriminative Projections | learning | via Non-Greedy L_2,1-Norm MinMax |
| Towards Robust | learning | with Different Label Noise Distributions |
| Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta- | learning | |
| Towards Robustness: Enhancing Deep | learning | Models Through Meta-Learning and Bilevel Optimization for Accurate Car Damage Classification |
| Towards Robustness: Enhancing Deep | learning | Models Through Meta-Learning and Bilevel Optimization for Accurate Car Damage Classification |
| Towards Safe Weakly Supervised | learning | |
| Towards Scalable Dataset Construction: An Active | learning | Approach |
| Towards Scalable Representations of Object Categories: | learning | a Hierarchy of Parts |
| Towards Segmentation and Spatial Alignment of the Human Embryonic Brain Using Deep | learning | for Atlas-based Registration |
| Towards Semi-supervised | learning | with Non-random Missing Labels |
| Towards the Accurate Automatic Detection of Mesoscale Convective Systems in Remote Sensing Data: From Data Mining to Deep | learning | Models and Their Applications |
| Towards the Creation of AI-powered Queries Using Transfer | learning | on NLP Model: The THESPIAN-NER Experience |
| Towards Transparent Robot | learning | Through TDRL-Based Emotional Expressions |
| Towards Unbiased Label Distribution | learning | for Facial Pose Estimation Using Anisotropic Spherical Gaussian |
| Towards Unbiased Multi-Label Zero-Shot | learning | With Pyramid and Semantic Attention |
| Towards understanding the character of quality sampling in deep | learning | face recognition |
| Towards Universal Representation | learning | for Deep Face Recognition |
| Towards Unsupervised | learning | of Generative Models for 3D Controllable Image Synthesis |
| Towards Unsupervised Single Image Dehazing With Deep | learning | |
| Towards Urban Scene Semantic Segmentation with Deep | learning | from LiDAR Point Clouds: A Case Study in Baden-Wurttemberg, Germany |
| Towards weakly supervised semantic segmentation by means of multiple instance and multitask | learning | |
| Towards Webcam-based Face Direction Tracking To Detect Learners' Attention Within Asynchronous E- | learning | Environment |
| Towards Zero-Shot | learning | with Fewer Seen Class Examples |
| Towards Zero-Shot | learning | : A Brief Review and an Attention-Based Embedding Network |
| Towers of Babel: Combining Images, Language, and 3D Geometry for | learning | Multimodal Vision |
| TPSAD: | learning | to Detect and Localize Anomalies With Thin Plate Spline Transformation |
| Trace Quotient Meets Sparsity: A Method for | learning | Low Dimensional Image Representations |
| Trace Quotient with Sparsity Priors for | learning | Low Dimensional Image Representations |
| Trace ratio criterion based generalized discriminative | learning | for semi-supervised dimensionality reduction |
| Tracking and | learning | graphs and pose on image sequences of faces |
| Tracking articulated human movements with a component based approach to boosted multiple instance | learning | |
| Tracking articulated objects by | learning | intrinsic structure of motion |
| Tracking as Online Decision-Making: | learning | a Policy from Streaming Videos with Reinforcement Learning |
| Tracking as Online Decision-Making: | learning | a Policy from Streaming Videos with Reinforcement Learning |
| Tracking Beyond Detection: | learning | a Global Response Map for End-to-End Multi-Object Tracking |
| Tracking by Animation: Unsupervised | learning | of Multi-Object Attentive Trackers |
| Tracking by Instance Detection: A Meta- | learning | Approach |
| Tracking by using dynamic shape model | learning | in the presence of occlusion |
| Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured | learning | |
| Tracking more than 100 arbitrary objects at 25 FPS through deep | learning | |
| Tracking Objects Across Cameras by Incrementally | learning | Inter-camera Colour Calibration and Patterns of Activity |
| Tracking of Multiple Targets Using On-Line | learning | for Appearance Model Adaptation |
| Tracking of Multiple Targets Using Online | learning | for Reference Model Adaptation |
| Tracking People by | learning | Their Appearance |
| Tracking People, Re-Identification Issues, | learning | |
| Tracking skeletal fusion feature for one shot | learning | gesture recognition |
| Tracking the invisible: | learning | where the object might be |
| Tracking the left ventricle in echocardiographic images by | learning | heart dynamics |
| Tracking the Untrackable: | learning | to Track Multiple Cues with Long-Term Dependencies |
| Tracking using Neural Nets, | learning | |
| Tracking with context as a semi-supervised | learning | and labeling problem |
| Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity | learning | |
| Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer | learning | |
| Tracking- | learning | -Detection |
| Tracklet Association by Online Target-Specific Metric | learning | and Coherent Dynamics Estimation |
| Tracklet Association with Online Target-Specific Metric | learning | |
| Tractable large-scale deep reinforcement | learning | |
| Tractable | learning | of Bayesian networks from partially observed data |
| TradeBot: Bandit | learning | for hyper-parameters optimization of high frequency trading strategy |
| Tradeoffs between UAS Spatial Resolution and Accuracy for Deep | learning | Semantic Segmentation Applied to Wetland Vegetation Species Mapping |
| Trading off Distance Metrics vs Accuracy in Incremental | learning | Algorithms |
| Traditional Computer Vision in the Age of Deep | learning | |
| Traditional Machine | learning | for Pitch Detection |
| Traditional vs. Machine- | learning | Methods for Forecasting Sandy Shoreline Evolution Using Historic Satellite-Derived Shorelines |
| Traffic Accident Detection via Self-Supervised Consistency | learning | in Driving Scenarios |
| Traffic Control Recognition with Speed-Profiles: A Deep | learning | Approach |
| Traffic Flow Modeling With Gradual Physics Regularized | learning | |
| Traffic Flow Prediction Based on Deep | learning | in Internet of Vehicles |
| Traffic Flow Prediction With Big Data: A Deep | learning | Approach |
| Traffic Flow Video Image Recognition and Analysis Based on Multi-Target Tracking Algorithm and Deep | learning | |
| Traffic Graph Convolutional Recurrent Neural Network: A Deep | learning | Framework for Network-Scale Traffic Learning and Forecasting |
| Traffic Graph Convolutional Recurrent Neural Network: A Deep | learning | Framework for Network-Scale Traffic Learning and Forecasting |
| Traffic intersection monitoring using fusion of GMM-based deep | learning | classification and geometric warping |
| Traffic light control using deep policy-gradient and value-function-based reinforcement | learning | |
| Traffic Light Detection at Night: Comparison of a | learning | -Based Detector and Three Model-Based Detectors |
| Traffic Light Recognition With High Dynamic Range Imaging and Deep | learning | |
| Traffic Prediction With Missing Data: A Multi-Task | learning | Approach |
| Traffic Prediction With Transfer | learning | : A Mutual Information-Based Approach |
| Traffic Scene Segmentation Based on RGB-D Image and Deep | learning | |
| Traffic Sign Recognition Using Kernel Extreme | learning | Machines With Deep Perceptual Features |
| Traffic Sign Recognition via Multi-Modal Tree-Structure Embedded Multi-Task | learning | |
| Traffic Signal Control Using End-to-End Off-Policy Deep Reinforcement | learning | |
| Traffic Signal Control With Reinforcement | learning | Based on Region-Aware Cooperative Strategy |
| Traffic signal priority control based on shared experience multi-agent deep reinforcement | learning | |
| TrafficSim: | learning | to Simulate Realistic Multi-Agent Behaviors |
| Training boosting-like algorithms with semi-supervised subspace | learning | |
| Training Compact Deep | learning | Models for Video Classification Using Circulant Matrices |
| Training data recycling for multi-level | learning | |
| Training Data Subset Search With Ensemble Active | learning | |
| Training Database Adequacy Analysis for | learning | -Based Super-Resolution |
| Training Deep | learning | Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior |
| Training Deep | learning | Models via Synthetic Data: Application in Unmanned Aerial Vehicles |
| Training Drift Counteraction Optimal Control Policies Using Reinforcement | learning | : An Adaptive Cruise Control Example |
| Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer | learning | from Pseudo-Tasks |
| Training Machine | learning | Algorithms Using Remote Sensing and Topographic Indices for Corn Yield Prediction |
| Training Networks in Null Space of Feature Covariance for Continual | learning | |
| Training Noise-Robust Deep Neural Networks via Meta- | learning | |
| Training of CNN with Heterogeneous | learning | for Multiple Pedestrian Attributes Recognition Using Rarity Rate |
| Training sample selection for deep | learning | of distributed data |
| Training Socially Engaging Robots: Modeling Backchannel Behaviors with Batch Reinforcement | learning | |
| Training Spiking Neural Networks Using Lessons From Deep | learning | |
| Training Strategy for Limited Labeled Data by | learning | from Confusion |
| Training Support Vector Machines, SVM Training, | learning | |
| Trajectory based Primitive Events for | learning | and recognizing activity |
| Trajectory Jerking Suppression for Mixed Traffic Flow at a Signalized Intersection: A Trajectory Prediction Based Deep Reinforcement | learning | Method |
| Trajectory | learning | for Activity Understanding: Unsupervised, Multilevel, and Long-Term Adaptive Approach |
| Trajectory | learning | for Robot Programming by Demonstration Using Hidden Markov Model and Dynamic Time Warping |
| Trajectory representation | learning | for Multi-Task NMRDP planning |
| TrajectoryCNN: A New Spatio-Temporal Feature | learning | Network for Human Motion Prediction |
| TransBlast: Self-Supervised | learning | Using Augmented Subspace with Transformer for Background/Foreground Separation |
| TransBoNet: | learning | camera localization with Transformer Bottleneck and Attention |
| TransCL: Transformer Makes Strong and Flexible Compressive | learning | |
| TransCNNLoc: End-to-end pixel-level | learning | for 2D-to-3D pose estimation in dynamic indoor scenes |
| Transcoding across 3D shape representations for unsupervised | learning | of 3D shape feature |
| TranSDet: Toward Effective Transfer | learning | for Small-Object Detection |
| Transducer | learning | in pattern recognition |
| Transductive Episodic-Wise Adaptive Metric for Few-Shot | learning | |
| Transductive Few-Shot | learning | with Prototype-Based Label Propagation by Iterative Graph Refinement |
| Transductive Kernel Map | learning | and Its Application Image Annotation |
| Transductive Label Augmentation for Improved Deep Network | learning | |
| Transductive | learning | for Zero-Shot Object Detection |
| transductive | learning | method to leverage graph structure for few-shot learning, A |
| transductive | learning | method to leverage graph structure for few-shot learning, A |
| Transductive | learning | With Prior Knowledge for Generalized Zero-Shot Action Recognition |
| transductive multi-label | learning | approach for video concept detection, A |
| Transductive Multi-label Zero-shot | learning | |
| Transductive Multi-View Zero-Shot | learning | |
| Transductive polyhedral conic classifiers for machine | learning | applications |
| Transductive Semi-Supervised Deep | learning | Using Min-Max Features |
| Transductive semi-supervised metric | learning | for person re-identification |
| Transductive transfer | learning | for action recognition in tennis games |
| Transductive Unbiased Embedding for Zero-Shot | learning | |
| Transductive Zero-Shot | learning | by Decoupled Feature Generation |
| Transductive Zero-Shot | learning | for 3D Point Cloud Classification |
| TransER: Hybrid Model and Ensemble-based Sequential | learning | for Non-homogenous Dehazing |
| Transfer easy to hard: Adversarial contrastive feature | learning | for unsupervised person re-identification |
| Transfer Feature | learning | with Joint Distribution Adaptation |
| Transfer Kernel | learning | for Multi-Source Transfer Gaussian Process Regression |
| Transfer | learning | and Deep Feature Extraction for Planktonic Image Data Sets |
| Transfer | learning | Approach for Indoor Localization with Small Datasets |
| Transfer | learning | Approach to Heatmap Regression for Action Unit Intensity Estimation, A |
| Transfer | learning | Based Evolutionary Algorithm for Composite Face Sketch Recognition |
| Transfer | learning | Based Long Short-Term Memory Car-Following Model for Adaptive Cruise Control |
| Transfer | learning | Based on Logistic Regression |
| Transfer | learning | Based Strategy for Improving Driver Distraction Recognition |
| Transfer | learning | Based Visual Tracking with Gaussian Processes Regression |
| Transfer | learning | Based Wildlife Recognition for Tele-Observation in Field Occlusion Environment |
| Transfer | learning | by Ranking for Weakly Supervised Object Annotation |
| Transfer | learning | Dehazing Network by Gaussian Process Mapping |
| Transfer | learning | for Cell Nuclei Classification in Histopathology Images |
| Transfer | learning | for Colonic Polyp Classification Using Off-the-Shelf CNN Features |
| Transfer | learning | for Driver Model Adaptation in Lane-Changing Scenarios Using Manifold Alignment |
| Transfer | learning | for image classification with sparse prototype representations |
| Transfer | learning | for Image Segmentation by Combining Image Weighting and Kernel Learning |
| Transfer | learning | for Image Segmentation by Combining Image Weighting and Kernel Learning |
| Transfer | learning | for Improving Lifelog Image Retrieval |
| Transfer | learning | for Improving Seismic Building Damage Assessment |
| Transfer | learning | for On-Orbit Ship Segmentation |
| Transfer | learning | for one class SVM adaptation to limited data distribution change |
| Transfer | learning | for Pose Estimation of Illustrated Characters |
| Transfer | learning | for rare cancer problems via Discriminative Sparse Gaussian Graphical model |
| Transfer | learning | for SAR Image Classification Via Deep Joint Distribution Adaptation Networks |
| Transfer | learning | for User Action Identication in Mobile Apps via Encrypted Traffic Analysis |
| Transfer | learning | For Videos: From Action Recognition To Sign Language Recognition |
| Transfer | learning | from Other Tasks, Other Classes |
| Transfer | learning | from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pods |
| Transfer | learning | from Synthetic to Real Images Using Variational Autoencoders for Precise Position Detection |
| Transfer | learning | From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization |
| Transfer | learning | from Vision Transformers or ConvNets for 360-Degree Images Quality Assessmentƒ |
| Transfer | learning | helps to improve the accuracy to classify patients with different speech disorders in different languages |
| Transfer | learning | Improves Supervised Image Segmentation Across Imaging Protocols |
| Transfer | learning | in computer vision tasks: Remember where you come from |
| Transfer | learning | in Deep Reinforcement Learning: A Survey |
| Transfer | learning | in Deep Reinforcement Learning: A Survey |
| Transfer | learning | in Sign language |
| Transfer | learning | method using multi-prediction deep Boltzmann machines for a small scale dataset |
| Transfer | learning | Methods for Extracting, Classifying and Searching Large Collections of Historical Images and Their Captions |
| Transfer | learning | networks with skip connections for classification of brain tumors |
| Transfer | learning | of a deep convolutional neural network for localizing handwritten slab identification numbers |
| Transfer | learning | of a Deep Learning Model for Exploring Tourists' Urban Image Using Geotagged Photos |
| Transfer | learning | of a Deep Learning Model for Exploring Tourists' Urban Image Using Geotagged Photos |
| Transfer | learning | of a Temporal Bone Performance Model via Anatomical Feature Registration |
| Transfer | learning | of Motion Patterns in Traffic Scene via Convex Optimization |
| Transfer | learning | of Spectrogram Image for Automatic Sleep Stage Classification |
| Transfer | learning | of Structured Representation for Face Recognition |
| Transfer | learning | of Wi-Fi Handwritten Signature Signals for Identity Verification based on the Kernel and the Range Space Projection |
| Transfer | learning | on stratified data: joint estimation transferred from strata |
| Transfer | learning | privileged information fuels CAD diagnosis of breast cancer |
| Transfer | learning | Through Greedy Subset Selection |
| Transfer | learning | Through Weighted Loss Function and Group Normalization for Vessel Segmentation from Retinal Images |
| Transfer | learning | to account for idiosyncrasy in face and body expressions |
| Transfer | learning | Using Convolutional Neural Networks for Face Anti-spoofing |
| Transfer | learning | using convolutional neural networks for object classification within X-ray baggage security imagery |
| Transfer | learning | Using Rotated Image Data to Improve Deep Neural Network Performance |
| Transfer | learning | via attributes for improved on-the-fly classification |
| Transfer | learning | via Unsupervised Task Discovery for Visual Question Answering |
| Transfer | learning | with Convolutional Neural Network for Early Gastric Cancer Classification on Magnifiying Narrow-Band Imaging Images |
| Transfer | learning | with Deep Convolutional Neural Network for Automated Plant Identification |
| Transfer | learning | with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data |
| Transfer | learning | with deep networks for saliency prediction in natural video |
| Transfer | learning | with Graph Neural Networks for Short-Term Highway Traffic Forecasting |
| Transfer | learning | with one-class data |
| Transfer | learning | with Partial Observability Applied to Cervical Cancer Screening |
| Transfer | learning | with Spatial-Temporal Graph Convolutional Network for Traffic Prediction |
| Transfer | learning | -Based Approach to Estimating Missing Pairs of On/Off Ramp Flows, A |
| Transfer | learning | -based discriminative correlation filter for visual tracking |
| Transfer | learning | -Based Model Protection with Secret Key |
| Transfer | learning | -based platform for detecting multi-classification retinal disorders using optical coherence tomography images |
| transfer | learning | -based system for grading breast invasive ductal carcinoma, A |
| Transfer | learning | -Enhanced Generative Adversarial Network for Downscaling Sea Surface Height through Heterogeneous Data Fusion, A |
| Transfer Linear Subspace | learning | for Cross-Corpus Speech Emotion Recognition |
| Transfer Meta | learning | |
| Transfer metric | learning | for action similarity using high-level semantics |
| Transfer metric | learning | for unsupervised domain adaptation |
| Transfer Recurrent Feature | learning | for Endomicroscopy Image Recognition |
| Transfer subspace | learning | based on structure preservation for JPEG image mismatched steganalysis |
| Transfer- | learning | -Based Approach for Yield Prediction of Winter Wheat from Planet Data and SAFY Model |
| Transfer- | learning | -Based Human Activity Recognition Using Antenna Array |
| TransFER: | learning | Relation-aware Facial Expression Representations with Transformers |
| Transferability Assessment of Open-source Deep | learning | Model For Building Detection on Satellite Data |
| Transferability of the Deep | learning | Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images |
| Transferable Contrastive Network for Generalized Zero-Shot | learning | |
| Transferable Deep | learning | from Time Series of Landsat Data for National Land-Cover Mapping with Noisy Labels: A Case Study of China |
| Transferable heterogeneous feature subspace | learning | for JPEG mismatched steganalysis |
| Transferable Joint Attribute-Identity Deep | learning | for Unsupervised Person Re-identification |
| Transferable | learning | Classification Model and Carbon Sequestration Estimation of Crops in Farmland Ecosystem, A |
| Transferable Representation | learning | in Vision-and-Language Navigation |
| Transferable Representation | learning | with Deep Adaptation Networks |
| Transferable Self-Supervised Instance | learning | for Sleep Recognition |
| Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised | learning | |
| TransferI2I: Transfer | learning | for Image-to-Image Translation from Small Datasets |
| Transferrable Feature and Projection | learning | with Class Hierarchy for Zero-Shot Learning |
| Transferrable Feature and Projection | learning | with Class Hierarchy for Zero-Shot Learning |
| Transferred Deep | learning | -Based Change Detection in Remote Sensing Images |
| Transferring deep | learning | models for cloud detection between Landsat-8 and Proba-V |
| Transferring Knowledge Fragments for | learning | Distance Metric from a Heterogeneous Domain |
| Transform | learning | Based Deconvolution Technique with Super-Resolution and Microscanning Applications, A |
| Transform | learning | Based Sparse Coding for LiDAR Data Denoising |
| Transform | learning | for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks |
| Transform | learning | for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks |
| Transform Your Smartphone into a DSLR Camera: | learning | the ISP in the Wild |
| Transform-invariant dictionary | learning | for face recognition |
| Transformation GAN for Unsupervised Image Synthesis and Representation | learning | |
| Transformer Fusion and Pixel-Level Contrastive | learning | for RGB-D Salient Object Detection |
| Transformer with Task Selection for Continual | learning | |
| Transformer-Based Framework for Parameter | learning | of a Land Surface Hydrological Process Model, A |
| Transformer-based global-local feature | learning | model for occluded person re-identification |
| Transformer-Based Reinforcement | learning | for Pickup and Delivery Problems With Late Penalties |
| Transformer-Based Self-Supervised | learning | for Emotion Recognition |
| Transformer-Based Self-Supervised Multimodal Representation | learning | for Wearable Emotion Recognition |
| TranSG: Transformer-Based Skeleton Graph Prototype Contrastive | learning | with Structure-Trajectory Prompted Reconstruction for Person Re-Identification |
| Transition Forests: | learning | Discriminative Temporal Transitions for Action Recognition and Detection |
| Transitional | learning | : Exploring the Transition States of Degradation for Blind Super-resolution |
| Transitive Invariance for Self-Supervised Visual Representation | learning | |
| Translated Poisson Mixture Model for Stratification | learning | |
| Translation, Association and Augmentation: | learning | Cross-Modality Re-Identification From Single-Modality Annotation |
| TransMatch: A Transfer- | learning | Scheme for Semi-Supervised Few-Shot Learning |
| TransMatch: A Transfer- | learning | Scheme for Semi-Supervised Few-Shot Learning |
| Transparent, Online Image Pattern Classification Using a | learning | Classifier System |
| Transpointflow: | learning | Scene Flow from Point Clouds with Transformer |
| Transportation Object Counting With Graph-Based Adaptive Auxiliary | learning | |
| Transporting Labels via Hierarchical Optimal Transport for Semi-supervised | learning | |
| TransRank: Self-supervised Video Representation | learning | via Ranking-based Transformation Recognition |
| Transtrack: Online meta-transfer | learning | and Otsu segmentation enabled wireless gesture tracking |
| TransUNet++SAR: Change Detection with Deep | learning | about Architectural Ensemble in SAR Images |
| TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot | learning | |
| TransZero++: Cross Attribute-Guided Transformer for Zero-Shot | learning | |
| Trap-Based Pest Counting: Multiscale and Deformable Attention CenterNet Integrating Internal LR and HR Joint Feature | learning | |
| Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised | learning | |
| TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance | learning | |
| Travel Mode Choice Prediction Using Imbalanced Machine | learning | |
| Travel Mode Identification With GPS Trajectories Using Wavelet Transform and Deep | learning | |
| Travel Time Distribution Estimation by | learning | Representations Over Temporal Attributed Graphs |
| TraVeLGAN: Image-To-Image Translation by Transformation Vector | learning | |
| TravelNet: Self-supervised Physically Plausible Hand Motion | learning | from Monocular Color Images |
| TRBACF: | learning | temporal regularized correlation filters for high performance online visual object tracking |
| Treatment | learning | Causal Transformer for Noisy Image Classification |
| Tree bark re-identification using a deep- | learning | feature descriptor |
| Tree Cover Estimation in Global Drylands from Space Using Deep | learning | |
| Tree Crown Detection and Delineation in a Temperate Deciduous Forest from UAV RGB Imagery Using Deep | learning | Approaches: Effects of Spatial Resolution and Species Characteristics |
| Tree Species Classification in Mixed Deciduous Forests Using Very High Spatial Resolution Satellite Imagery and Machine | learning | Methods |
| Tree Species Classification in Subtropical Natural Forests Using High-Resolution UAV RGB and SuperView-1 Multispectral Imageries Based on Deep | learning | Network Approaches: A Case Study within the Baima Snow Mountain National Nature Reserve, China |
| Tree Species Classification in UAV Remote Sensing Images Based on Super-Resolution Reconstruction and Deep | learning | |
| Tree Species Classification of Backpack Laser Scanning Data Using the PointNet++ Point Cloud Deep | learning | Method |
| Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep | learning | Convolutional Neural Networks |
| Tree Species Classification Using Ground-Based LiDAR Data by Various Point Cloud Deep | learning | Methods |
| Tree Species Classification Using Hyperion and Sentinel-2 Data with Machine | learning | in South Korea and China |
| Tree-based data augmentation and mutual | learning | for offline handwritten mathematical expression recognition |
| Tree-Based Transforms for Privileged | learning | |
| TreeDetector: Using Deep | learning | for the Localization and Reconstruction of Urban Trees from High-Resolution Remote Sensing Images |
| TreeRNN: Topology-Preserving Deep Graph Embedding and | learning | |
| Trend-Aware Video Caching Through Online | learning | |
| Tri-HGNN: | learning | triple policies fused hierarchical graph neural networks for pedestrian trajectory prediction |
| Triangle-Net: Towards Robustness in Point Cloud | learning | |
| Triangular similarity metric | learning | for face verification |
| Triangulation | learning | Network: From Monocular to Stereo 3D Object Detection |
| Triggering Failures: Out-Of-Distribution detection by | learning | from local adversarial attacks in Semantic Segmentation |
| Trip Purpose Imputation Using GPS Trajectories with Machine | learning | |
| Triple Adversarial | learning | and Multi-View Imaginative Reasoning for Unsupervised Domain Adaptation Person Re-Identification |
| Triple Loss Based Framework for Generalized Zero-Shot | learning | |
| triple refinement of self-paced | learning | style for unsupervised cross-domain person re-identification, The |
| Triple Verification Network for Generalized Zero-Shot | learning | |
| TripLe: Revisiting Pretrained Model Reuse and Progressive | learning | for Efficient Vision Transformer Scaling and Searching |
| Triplet Cross-Fusion | learning | for Unpaired Image Denoising in Optical Coherence Tomography |
| Triplet Transform | learning | for Automated Primate Face Recognition |
| Triplet-Based Deep Similarity | learning | for Person Re-Identification |
| TRL: Transformer based refinement | learning | for hybrid-supervised semantic segmentation |
| Tropical Cyclone Intensity Estimation Using Himawari-8 Satellite Cloud Products and Deep | learning | |
| Tropical Forest and Wetland Losses and the Role of Protected Areas in Northwestern Belize, Revealed from Landsat and Machine | learning | |
| Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine- | learning | |
| Truck and Trailer Classification With Deep | learning | Based Geometric Features |
| Truck Parking Pattern Aggregation and Availability Prediction by Deep | learning | |
| True-negative label selection for large-scale multi-label | learning | |
| Truly Unsupervised Image-to-Image Translation with Contrastive Representation | learning | |
| Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and | learning | |
| Trust-Region Adaptive Frequency for Online Continual | learning | |
| TRUST-TECH-Based Expectation Maximization for | learning | Finite Mixture Models |
| Trustable Co-Label | learning | From Multiple Noisy Annotators |
| Trusting Skype: | learning | the Way People Chat for Fast User Recognition and Verification |
| Trustworthy Edge Storage Orchestration in Intelligent Transportation Systems Using Reinforcement | learning | |
| tSF: Transformer-Based Semantic Filter for Few-Shot | learning | |
| TSGCNet: Discriminative Geometric Feature | learning | with Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation |
| TSRC: A Deep | learning | Model for Precipitation Short-Term Forecasting over China Using Radar Echo Data |
| TTL-IQA: Transitive Transfer | learning | Based No-Reference Image Quality Assessment |
| TTVFI: | learning | Trajectory-Aware Transformer for Video Frame Interpolation |
| Tuberculosis Abnormality Detection in Chest X-rays: A Deep | learning | Approach |
| TUIGAN: | learning | Versatile Image-to-image Translation with Two Unpaired Images |
| Tukey's Biweight M-Estimate With Conjugate Gradient Adaptive | learning | |
| Tumor Classification by Deep Polynomial Network and Multiple Kernel | learning | on Small Ultrasound Image Dataset |
| Tumor Classification Using Eigengene-Based Classifier Committee | learning | Algorithm |
| Tumor Lesion Segmentation from 3D PET Using a Machine | learning | Driven Active Surface |
| Tunable VVC Frame Partitioning Based on Lightweight Machine | learning | |
| Turning video into traffic data- an application to urban intersection analysis using transfer | learning | |
| Tutor-based | learning | of visual categories using different levels of supervision |
| TV-logo classification and | learning | system, A |
| TVG-Streaming: | learning | User Behaviors for QoE-Optimized 360-Degree Video Streaming |
| TWEEC: Computer-aided glaucoma diagnosis from retinal images using deep | learning | techniques |
| Twice Mixing: A rank | learning | based quality assessment approach for underwater image enhancement |
| Twin Adversarial Contrastive | learning | for Underwater Image Enhancement and Beyond |
| Twin Contrastive | learning | for Online Clustering |
| Twin Contrastive | learning | with Noisy Labels |
| Twitter sentiment analysis using ensemble based deep | learning | model towards COVID-19 in India and European countries |
| Two at Once: Enhancing | learning | and Generalization Capacities via IBN-Net |
| Two Birds, One Stone: A Unified Framework for Joint | learning | of Image and Video Style Transfers |
| Two Birds, One Stone: Jointly | learning | Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction |
| Two Entropy-Based Methods for | learning | Unsupervised Gaussian Mixture Models |
| Two phase cooperative | learning | for supervised dimensionality reduction |
| Two stage architecture for multi-label | learning | |
| Two Stream Active Query Suggestion for Active | learning | in Connectomics |
| Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble | learning | , A |
| two-dimensional (2-D) | learning | framework for Particle Swarm based feature selection, A |
| Two-Dimensional Active | learning | for image classification |
| Two-Dimensional Multilabel Active | learning | with an Efficient Online Adaptation Model for Image Classification |
| Two-Dimensional Pattern-Coupled Sparse Bayesian | learning | via Generalized Approximate Message Passing |
| Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot | learning | |
| Two-Level Attention with Multi-task | learning | for Facial Emotion Estimation |
| Two-level attention with two-stage multi-task | learning | for facial emotion recognition |
| Two-Level Attention-based Fusion | learning | for RGB-D Face Recognition |
| two-level committee machine: a representation and a | learning | procedure for general piecewise linear discriminant functions, A |
| Two-Level Multi-Task Metric | learning | with Application to Multi-Classification |
| Two-person interaction detection using body-pose features and multiple instance | learning | |
| Two-Phase | learning | for Weakly Supervised Object Localization |
| Two-Phase Object-Based Deep | learning | for Multi-Temporal SAR Image Change Detection |
| Two-Round Weight Voting Strategy-Based Ensemble | learning | Method for Sea Ice Classification of Sentinel-1 Imagery, A |
| two-scaled fully convolutional | learning | network for road detection, A |
| Two-Side Agreement | learning | for Non-Parametric Template Matching |
| Two-Stage Approach to Few-Shot | learning | for Image Recognition, A |
| Two-Stage Deep | learning | Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans |
| Two-Stage Deep | learning | Registration Method for Remote Sensing Images Based on Sub-Image Matching, A |
| Two-Stage Enhancement Scheme for Low-Quality Fingerprint Images by | learning | From the Images |
| Two-Stage | learning | and Fusion Network With Noise Aware for Time-Domain Monaural Speech Enhancement |
| two-stage | learning | approach to face recognition, A |
| Two-stage | learning | framework for single image deraining |
| Two-Stage | learning | to Predict Human Eye Fixations via SDAEs |
| Two-Stage Mesh Deep | learning | for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans |
| Two-stage multiple kernel | learning | for supervised dimensionality reduction |
| Two-stage progressive residual | learning | network for multi-focus image fusion |
| Two-Stage Structure-Focused Contrastive | learning | for Automatic Identification and Localization of Complex Pelvic Fractures |
| Two-Stage Track-before-Detect Method for Non-Cooperative Bistatic Radar Based on Deep | learning | , A |
| Two-stage Unsupervised Deep | learning | Framework for Degradation Removal in Ancient Documents, A |
| Two-Stage Unsupervised | learning | Method for Affine and Deformable Medical Image Registration |
| Two-stage visible watermark removal architecture based on deep | learning | |
| Two-Step | learning | Method for Detecting Landmarks on Faces from Different Domains, A |
| Two-Step Machine | learning | Approach for Crop Disease Detection Using GAN and UAV Technology, A |
| Two-Step Methodology for Human Pose Estimation Increasing the Accuracy and Reducing the Amount of | learning | Samples Dramatically, A |
| Two-Step System Based on Deep Transfer | learning | for Writer Identification in Medieval Books, A |
| Two-Stream CNNs for Gesture-Based Verification and Identification: | learning | User Style |
| Two-Stream Collaborative | learning | With Spatial-Temporal Attention for Video Classification |
| Two-Stream Dictionary | learning | Architecture for Action Recognition |
| Two-Stream Prototype | learning | Network for Few-Shot Face Recognition Under Occlusions |
| Two-view correspondence | learning | using graph neural network with reciprocal neighbor attention |
| TwohandsMusic: Multitask | learning | -Based Egocentric Piano-Playing Gesture Recognition System for Two Hands |
| Typical Facial Expression Network Using a Facial Feature Decoupler and Spatial-Temporal | learning | |
| U Can't (re)Touch This: A Deep | learning | Approach for Detecting Image Retouching |
| UAS and Machine | learning | Classification Approach to Suitability Prediction of Expanding Natural Habitats for Endangered Flora Species, A |
| UAV Autonomous Warehouse Inventorying by Deep | learning | , An |
| UAV Classification with Deep | learning | Using Surveillance Radar Data |
| UAV Data as an Alternative to Field Sampling to Monitor Vineyards Using Machine | learning | Based on UAV/Sentinel-2 Data Fusion |
| UAV First View Landmark Localization via Deep Reinforcement | learning | |
| UAV first view landmark localization with active reinforcement | learning | |
| UAV image analysis for leakage detection in district heating systems using machine | learning | |
| UAV Images and Deep- | learning | Algorithms for Detecting Flavescence Doree Disease In Grapevine Orchards |
| UAV Maneuvering Target Tracking in Uncertain Environments Based on Deep Reinforcement | learning | and Meta-Learning |
| UAV Maneuvering Target Tracking in Uncertain Environments Based on Deep Reinforcement | learning | and Meta-Learning |
| UAV Multispectral Image-Based Urban River Water Quality Monitoring Using Stacked Ensemble Machine | learning | Algorithms: A Case Study of the Zhanghe River, China |
| UAV Open Dataset of Rice Paddies for Deep | learning | Practice, A |
| UAV Path Planning Method for Building Surface Information Acquisition Utilizing Opposition-Based | learning | Artificial Bee Colony Algorithm, A |
| UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine | learning | Techniques |
| UAV Thermal Imaging for Unexploded Ordnance Detection by Using Deep | learning | |
| UAV- and Machine | learning | -Based Retrieval of Wheat SPAD Values at the Overwintering Stage for Variety Screening |
| UAV-Assisted Fair Communication for Mobile Networks: A Multi-Agent Deep Reinforcement | learning | Approach |
| UAV-Based Disease Detection in Palm Groves of Phoenix canariensis Using Machine | learning | and Multispectral Imagery |
| UAV-Based Estimation of Grain Yield for Plant Breeding: Applied Strategies for Optimizing the Use of Sensors, Vegetation Indices, Growth Stages, and Machine | learning | Algorithms |
| UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine | learning | |
| UAV-Based Slope Failure Detection Using Deep- | learning | Convolutional Neural Networks |
| UAV-Based Terrain Modeling under Vegetation in the Chinese Loess Plateau: A Deep | learning | and Terrain Correction Ensemble Framework |
| Ubiquitous Document Capturing with Deep | learning | |
| Ubiquitously Supervised Subspace | learning | |
| UBoCo: Unsupervised Boundary Contrastive | learning | for Generic Event Boundary Detection |
| UCT: | learning | Unified Convolutional Networks for Real-Time Visual Tracking |
| UHD Video Coding: A Light-Weight | learning | -Based Fast Super-Block Approach |
| UIE-FSMC: Underwater Image Enhancement Based on Few-Shot | learning | and Multi-Color Space |
| UJ-FLAC: Unsupervised Joint Feature | learning | and Clustering for Dynamic Driving Cycles Construction |
| ULIP: | learning | a Unified Representation of Language, Images, and Point Clouds for 3D Understanding |
| Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral | learning | |
| Ultra-High-Definition Image HDR Reconstruction via Collaborative Bilateral | learning | |
| UltraHi-PrNet: An Ultra-High Precision Deep | learning | Network for Dense Multi-Scale Target Detection in SAR Images |
| UltraStereo: Efficient | learning | -Based Matching for Active Stereo Systems |
| Unaligned Image-to-Image Translation by | learning | to Reweight |
| UNAS: Differentiable Architecture Search Meets Reinforcement | learning | |
| Unbiased and Augmentation-Free Self-Supervised Graph Representation | learning | |
| Unbiased feature generating for generalized zero-shot | learning | |
| Unbiased Metric | learning | : On the Utilization of Multiple Datasets and Web Images for Softening Bias |
| Unbiased Multiple Instance | learning | for Weakly Supervised Video Anomaly Detection |
| Unbounded Motion Optimization by Developmental | learning | |
| Uncertain Reasoning and | learning | for Feature Grouping |
| Uncertainty Analysis for Object-Based Change Detection in Very High-Resolution Satellite Images Using Deep | learning | Network |
| Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine | learning | : A Comparison of Pixel and Object-Based Approaches |
| Uncertainty Criteria in Active Transfer | learning | for Efficient Video-Specific Human Pose Estimation |
| Uncertainty Estimation for Deep | learning | -Based Segmentation of Roads in Synthetic Aperture Radar Imagery |
| Uncertainty Estimation for Stereo Matching Based on Evidential Deep | learning | |
| Uncertainty Guided Multi-Scale Residual | learning | -Using a Cycle Spinning CNN for Single Image De-Raining |
| Uncertainty in Model-Agnostic Meta- | learning | using Variational Inference |
| Uncertainty | learning | for Noise Resistant Sketch-Based 3D Shape Retrieval |
| Uncertainty | learning | in Kernel Estimation for Multi-stage Blind Image Super-Resolution |
| Uncertainty | learning | towards Unsupervised Deformable Medical Image Registration |
| Uncertainty of Partial Dependence Relationship between Climate and Vegetation Growth Calculated by Machine | learning | Models |
| Uncertainty-Aware Dual-Evidential | learning | for Weakly-Supervised Temporal Action Localization |
| Uncertainty-Aware Human Mesh Recovery from Video by | learning | Part-Based 3D Dynamics |
| Uncertainty-Aware Interpretable Deep | learning | for Slum Mapping and Monitoring |
| Uncertainty-aware iterative | learning | for noisy-labeled medical image segmentation |
| Uncertainty-aware Label Distribution | learning | for Facial Expression Recognition |
| Uncertainty-Aware Multi-modal | learning | via Cross-Modal Random Network Prediction |
| Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation | learning | |
| Uncertainty-Aware Score Distribution | learning | for Action Quality Assessment |
| Uncertainty-Based Active | learning | via Sparse Modeling for Image Classification |
| Uncertainty-driven active developmental | learning | |
| Uncertainty-Guided Cross-Modal | learning | for Robust Multispectral Pedestrian Detection |
| Uncertainty-guided | learning | for Improving Image Manipulation Detection |
| Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental | learning | With Knowledge Distillation |
| UncLe-SLAM: Uncertainty | learning | for Dense Neural SLAM |
| Unconstrained Face Alignment via Cascaded Compositional | learning | |
| Unconstrained Facial Expression Recognition With No-Reference De-Elements | learning | |
| Unconstrained Multimodal Multi-Label | learning | |
| Unconstrained Periocular Recognition: Using Generative Deep | learning | Frameworks for Attribute Normalization |
| Uncooperative gait recognition by | learning | to rank |
| Uncooperative gait recognition: Re-ranking based on sparse coding and multi-view hypergraph | learning | |
| Uncorrelated multi-set feature | learning | for color face recognition |
| Uncovering the Nature of Urban Land Use Composition Using Multi-Source Open Big Data with Ensemble | learning | |
| Underdetermined DOA Estimation Method for Wideband Signals Using Joint Nonnegative Sparse Bayesian | learning | |
| Underdetermined DOA estimation using coprime array via multiple measurement sparse Bayesian | learning | |
| Underground Diagnosis Based on GPR and | learning | in the Model Space |
| Undersampled Face Recognition via Robust Auxiliary Dictionary | learning | |
| Understanding adversarial attacks on deep | learning | based medical image analysis systems |
| Understanding and Constructing Latent Modality Structures in Multi-Modal Representation | learning | |
| Understanding and Mitigating Dimensional Collapse in Federated | learning | |
| Understanding and Modeling Urban Mobility Dynamics via Disentangled Representation | learning | |
| Understanding Autism Using Machine | learning | : A Structural MRI Study |
| Understanding Collapse in Non-contrastive Siamese Representation | learning | |
| Understanding collective crowd behaviors: | learning | a Mixture model of Dynamic pedestrian-Agents |
| Understanding Deep | learning | Techniques for Image Segmentation |
| Understanding drivers' route choice behaviours in the urban network with machine | learning | models |
| Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine | learning | |
| Understanding Historical Cityscapes from Aerial Imagery Through Machine | learning | |
| Understanding Landslide Susceptibility in Northern Chilean Patagonia: A Basin-Scale Study Using Machine | learning | and Field Data |
| Understanding Masked Image Modeling via | learning | Occlusion Invariant Feature |
| Understanding Object Motion: Recognition, | learning | And Spatiotemporal Reasoning |
| Understanding the Drivers of Mobility during the COVID-19 Pandemic in Florida, USA Using a Machine | learning | Approach |
| Understanding the synergies of deep | learning | and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection |
| Understanding tools: Task-oriented object modeling, | learning | and recognition |
| Understanding Urban Area Attractiveness Based on Private Car Trajectory Data Using a Deep | learning | Approach |
| Understanding videos, constructing plots | learning | a visually grounded storyline model from annotated videos |
| Underwater Equipotential Line Tracking Based on Self-Attention Embedded Multiagent Reinforcement | learning | Toward AUV-Based ITS |
| Underwater Image Co-Enhancement With Correlation Feature Matching and Joint | learning | |
| Underwater image enhancement with latent consistency | learning | -based color transfer |
| Underwater Image Restoration via Contrastive | learning | and a Real-World Dataset |
| Underwater Topography Inversion in Liaodong Shoal Based on GRU Deep | learning | Model |
| UnDispNet: Unsupervised | learning | for Multi-Stage Monocular Depth Prediction |
| Uneven Bi-Classifier | learning | for Domain Adaptation |
| Unfolding Kernel embeddings of graphs: Enhancing class separation through manifold | learning | |
| Uni-and-Bi-Directional Video Prediction via | learning | Object-Centric Transformation |
| Uni-Temporal Multispectral Imagery for Burned Area Mapping with Deep | learning | |
| UNICON: Combating Label Noise Through Uniform Selection and Contrastive | learning | |
| UniDexGrasp++: Improving Dexterous Grasping Policy | learning | via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning |
| UniDexGrasp++: Improving Dexterous Grasping Policy | learning | via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning |
| UniDexGrasp: Universal Robotic Dexterous Grasping via | learning | Diverse Proposal Generation and Goal-Conditioned Policy |
| Unidirectional Representation-Based Efficient Dictionary | learning | |
| unified active and semi-supervised | learning | framework for image compression, A |
| unified and efficient semi-supervised | learning | framework for stereo matching, A |
| Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot | learning | , A |
| Unified Approach to Feature Selection and | learning | in Unsupervised Environments, A |
| Unified Continual | learning | Framework with General Parameter-Efficient Tuning, A |
| Unified Contrastive | learning | in Image-Text-Label Space |
| Unified curiosity-Driven | learning | with smoothed intrinsic reward estimation |
| Unified deep | learning | approach for prediction of Parkinson's disease |
| Unified Deep | learning | Framework for ssTEM Image Restoration, A |
| Unified Dictionary | learning | and Region Tagging with Hierarchical Sparse Representation |
| Unified Embedding and Metric | learning | for Zero-Exemplar Event Detection |
| unified extreme | learning | machines and discriminative random fields for automatic knee cartilage and meniscus segmentation from multi-contrast MR images, The |
| Unified Framework for Automatic Distributed Active | learning | , A |
| Unified Framework of Latent Feature | learning | in Social Media, A |
| Unified Framework of Subspace and Distance Metric | learning | for Face Recognition, A |
| Unified | learning | approach for egocentric hand gesture recognition and fingertip detection |
| unified | learning | framework for object detection and classification using nested cascades of boosted classifiers, A |
| unified | learning | framework for real time face detection and classification, A |
| Unified | learning | -Based Lossy and Lossless JPEG Recompression |
| unified low-order information-theoretic feature selection framework for multi-label | learning | , A |
| Unified Low-Rank Tensor | learning | and Spectral Embedding for Multi-View Subspace Clustering |
| Unified Mask Embedding and Correspondence | learning | for Self-Supervised Video Segmentation |
| Unified Metric | learning | -Based Framework for Co-Saliency Detection, A |
| Unified Multi-Task | learning | Architecture for Fast and Accurate Pedestrian Detection, A |
| Unified Multiplicative Framework for Attribute | learning | , A |
| Unified Online Dictionary | learning | Framework with Label Information for Robust Object Tracking, A |
| Unified Optimization Based | learning | Method for Image Retrieval, A |
| unified perspective and new results on RHT computing, mixture based | learning | , and multi-learner based problem solving, A |
| unified RGB-T crowd counting | learning | framework, A |
| Unified Sparse Subspace | learning | via Self-Contained Regression |
| Unified Structured | learning | for Simultaneous Human Pose Estimation and Garment Attribute Classification |
| Unified subspace | learning | for incomplete and unlabeled multi-view data |
| Unified Supervised-Unsupervised (SUPER) | learning | for X-Ray CT Image Reconstruction |
| Unified Unsupervised | learning | Framework for Stereo Matching and Ego-Motion Estimation, A |
| Unified Video Annotation via Multigraph | learning | |
| unified weight | learning | and low-rank regression model for robust complex error modeling, A |
| Uniform and Variational Deep | learning | for RGB-D Object Recognition and Person Re-Identification |
| Uniform Priors for Data-Efficient | learning | |
| Uniform Projection for Multi-View | learning | |
| UniformFace: | learning | Deep Equidistributed Representation for Face Recognition |
| Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised | learning | |
| Unifying Framework for | learning | the Linear Combiners for Classifier Ensembles, A |
| Unifying Identification and Context | learning | for Person Recognition |
| Unifying Mutual Information View of Metric | learning | : Cross-entropy vs. Pairwise Losses, A |
| Unifying Probabilistic Framework for Partially Labeled Data | learning | , A |
| Unifying Subspace and Distance Metric | learning | with Bhattacharyya Coefficient for Image Classification |
| Unifying Theory of Active Discovery and | learning | , A |
| Unifying Visual Attribute | learning | with Object Recognition in a Multiplicative Framework |
| Unifying Visual Contrastive | learning | for Object Recognition from a Graph Perspective |
| Unifying Visual Perception by Dispersible Points | learning | |
| Unilaterally Aggregated Contrastive | learning | with Hierarchical Augmentation for Anomaly Detection |
| UniMiSS: Universal Medical Self-supervised | learning | via Breaking Dimensionality Barrier |
| Unimodal Representation | learning | and Recurrent Decomposition Fusion Structure for Utterance-Level Multimodal Embedding Learning, A |
| Unimodal Representation | learning | and Recurrent Decomposition Fusion Structure for Utterance-Level Multimodal Embedding Learning, A |
| Unimodal-Concentrated Loss: Fully Adaptive Label Distribution | learning | for Ordinal Regression |
| UniT: Multimodal Multitask | learning | with a Unified Transformer |
| United Defocus Blur Detection and Deblurring via Adversarial Promoting | learning | |
| Uniter: Universal Image-Text Representation | learning | |
| Universal Collaboration Strategies for Signal Detection: A Sparse | learning | Approach |
| Universal Face Encoder: | learning | Disentangled Representations Across Different Attributes, The |
| Universal Representation | learning | from Multiple Domains for Few-shot Classification |
| Universal Weighting Metric | learning | for Cross-Modal Matching |
| Universal Weighting Metric | learning | for Cross-Modal Retrieval |
| Universum-Inspired Supervised Contrastive | learning | |
| Unknown Aware Feature | learning | for Face Forgery Detection |
| Unknown Class Label Cleaning for | learning | with Open-Set Noisy Labels |
| Unknown-Aware Object Detection: | learning | What You Don't Know from Videos in the Wild |
| Unknown-Oriented | learning | for Open Set Domain Adaptation |
| Unlocking Large-Scale Crop Field Delineation in Smallholder Farming Systems with Transfer | learning | and Weak Supervision |
| Unlocking the Potential of Data Augmentation in Contrastive | learning | for Hyperspectral Image Classification |
| Unlocking the Potential of Deep | learning | for Migratory Waterbirds Monitoring Using Surveillance Video |
| Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme | learning | machine |
| Unpaired Cross-Spectral Pedestrian Detection Via Adversarial Feature | learning | |
| Unpaired Deep Image Dehazing Using Contrastive Disentanglement | learning | |
| Unpaired Deep Image Deraining Using Dual Contrastive | learning | |
| Unpaired Image Captioning With semantic-Constrained Self- | learning | |
| Unpaired Image-to-Image Translation Using Negative | learning | for Noisy Patches |
| Unpaired | learning | for Deep Image Deraining with Rain Direction Regularizer |
| Unpaired | learning | for High Dynamic Range Image Tone Mapping |
| Unpaired | learning | of Deep Image Denoising |
| Unpaired MR Motion Artifact Deep | learning | Using Outlier-Rejecting Bootstrap Aggregation |
| Unpaired sonar image denoising with simultaneous contrastive | learning | |
| Unpaired Training of Deep | learning | tMRA for Flexible Spatio-Temporal Resolution |
| Unravelling the Relationship Between Microseisms and Spatial Distribution of Sea Wave Height by Statistical and Machine | learning | Approaches |
| Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot | learning | and Convolutional Neural Networks |
| Unsupervised (parameter) | learning | for MRFs on bipartite graphs |
| Unsupervised 3D Local Feature | learning | by Circle Convolutional Restricted Boltzmann Machine |
| Unsupervised 3D Point Cloud Representation | learning | by Triangle Constrained Contrast for Autonomous Driving |
| Unsupervised 3d Shape Representation | learning | Using Normalizing Flow |
| Unsupervised Action Segmentation by Joint Representation | learning | and Online Clustering |
| Unsupervised Adaptation | learning | for Hyperspectral Imagery Super-Resolution |
| Unsupervised Adversarial Visual Level Domain Adaptation for | learning | Video Object Detectors From Images |
| Unsupervised and semi-supervised | learning | via l1-norm graph |
| Unsupervised and supervised classifications by rival penalized competitive | learning | |
| Unsupervised approximate-semantic vocabulary | learning | for human action and video classification |
| Unsupervised Assignment Flow: Label | learning | on Feature Manifolds by Spatially Regularized Geometric Assignment |
| Unsupervised Attention Based Instance Discriminative | learning | for Person Re-Identification |
| Unsupervised Band Selection Method via Contrastive | learning | for Hyperspectral Images, An |
| Unsupervised Bayesian Model- | learning | with Application to Textured and Polynomial Image Segmentation |
| Unsupervised Behavior-Specific Dictionary | learning | for Abnormal Event Detection |
| Unsupervised Binary Representation | learning | with Deep Variational Networks |
| Unsupervised Clustering and Active | learning | of Hyperspectral Images With Nonlinear Diffusion |
| Unsupervised Clustering, Classification, Unsupervised | learning | |
| Unsupervised Collaborative | learning | of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM |
| Unsupervised Confidence Approximation: Trustworthy | learning | from Noisy Labelled Data |
| Unsupervised constellation model | learning | algorithm based on voting weight control for accurate face localization |
| Unsupervised Continual | learning | for Gradually Varying Domains |
| Unsupervised Cross Domain Person Re-Identification by Multi-Loss Optimization | learning | |
| Unsupervised Cross-Dataset Person Re-identification by Transfer | learning | of Spatial-Temporal Patterns |
| Unsupervised Cross-Dataset Transfer | learning | for Person Re-identification |
| Unsupervised Cross-Temporal Classification of Hyperspectral Images With Multiple Geodesic Flow Kernel | learning | |
| Unsupervised CT Metal Artifact | learning | Using Attention-Guided ß-CycleGAN |
| Unsupervised data association for metric | learning | in the context of multi-shot person re-identification |
| Unsupervised Deep Feature | learning | for Remote Sensing Image Retrieval |
| Unsupervised Deep Hashing With Adaptive Feature | learning | for Image Retrieval |
| Unsupervised Deep | learning | Applied to Breast Density Segmentation and Mammographic Risk Scoring |
| Unsupervised Deep | learning | based Variational Autoencoder Model for COVID-19 Diagnosis and Classification |
| Unsupervised Deep | learning | for FOD-Based Susceptibility Distortion Correction in Diffusion MRI |
| Unsupervised Deep | learning | for Landslide Detection from Multispectral Sentinel-2 Imagery |
| Unsupervised Deep | learning | for Structured Shape Matching |
| Unsupervised deep | learning | for text line segmentation |
| Unsupervised Deep | learning | Framework via Integrated Optimization of Representation Learning and GMM-Based Modeling, An |
| Unsupervised Deep | learning | Framework via Integrated Optimization of Representation Learning and GMM-Based Modeling, An |
| Unsupervised Deep | learning | Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective |
| Unsupervised Deep | learning | of Compact Binary Descriptors |
| Unsupervised Deep Metric | learning | with Transformed Attention Consistency and Contrastive Clustering Loss |
| Unsupervised Deep Representation | learning | and Few-Shot Classification of PolSAR Images |
| Unsupervised Deep Representation | learning | for Real-Time Tracking |
| Unsupervised Deep Shape Descriptor With Point Distribution | learning | |
| Unsupervised Degradation Representation | learning | for Blind Super-Resolution |
| Unsupervised Deraining: Where Asymmetric Contrastive | learning | Meets Self-Similarity |
| Unsupervised Deraining: Where Contrastive | learning | Meets Self-similarity |
| Unsupervised descriptor selection based meta- | learning | networks for few-shot classification |
| Unsupervised Detector Adaptation by Joint Dataset Feature | learning | |
| Unsupervised dictionary | learning | with double-layer sparse representation |
| Unsupervised Difference Representation | learning | for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images |
| Unsupervised dimensionality estimation and manifold | learning | in high-dimensional spaces by tensor voting |
| Unsupervised Discriminative Embedding for Sub-Action | learning | in Complex Activities |
| Unsupervised discriminative feature | learning | via finding a clustering-friendly embedding space |
| Unsupervised Discriminative Feature Selection via Contrastive Graph | learning | |
| Unsupervised Domain Adaptation by Multi-Loss Gap Minimization | learning | for Person Re-Identification |
| unsupervised domain adaptation deep | learning | method for spatial and temporal transferable crop type mapping using Sentinel-2 imagery, An |
| Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement | learning | and Self-Training |
| Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial | learning | |
| Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive | learning | and Uncorrelated Conditioning |
| Unsupervised Domain Adaptation for Zero-Shot | learning | |
| Unsupervised Domain Adaptation in the Wild via Disentangling Representation | learning | |
| Unsupervised Domain Adaptation with Similarity | learning | |
| Unsupervised Domain Adaption Framework for Aerial Image Semantic Segmentation Based on Curriculum | learning | , An |
| Unsupervised Domain Adaptive | learning | for Image Desnowing with Real-World Data |
| Unsupervised Domain Adaptive Person Re-Identification with Adaptive Structure | learning | |
| Unsupervised Domain Adaptive Re-identification with Feature Adversarial | learning | and Self-similarity Clustering |
| Unsupervised Domain Generalization by | learning | a Bridge Across Domains |
| Unsupervised Embedding | learning | by Noisy Similarity Label Optimization |
| Unsupervised Embedding | learning | via Invariant and Spreading Instance Feature |
| Unsupervised Embedding | learning | with Mutual-Information Graph Convolutional Networks |
| Unsupervised ensemble | learning | for genome sequencing |
| Unsupervised Event-Based | learning | of Optical Flow, Depth, and Egomotion |
| Unsupervised face frontalization using disentangled representation- | learning | CycleGAN |
| Unsupervised feature analysis with sparse adaptive | learning | |
| Unsupervised Feature Extraction via Deep | learning | for Histopathological Classification of Colon Tissue Images |
| Unsupervised feature | learning | based on sparse coding and spectral clustering for segmentation of synthetic aperture radar images |
| Unsupervised Feature | learning | by Cross-Level Instance-Group Discrimination |
| Unsupervised Feature | learning | for Aerial Scene Classification |
| Unsupervised Feature | learning | for Dense Correspondences Across Scenes |
| Unsupervised Feature | learning | for Event Data: Direct vs. Inverse Problem Formulation |
| Unsupervised feature | learning | for illumination robustness |
| Unsupervised Feature | learning | for Land-Use Scene Recognition |
| Unsupervised feature | learning | for optical character recognition |
| Unsupervised Feature | learning | for Point Cloud Understanding by Contrasting and Clustering Using Graph Convolutional Neural Networks |
| Unsupervised Feature | learning | for RGB-D Image Classification |
| Unsupervised Feature | learning | for Speech Using Correspondence and Siamese Networks |
| Unsupervised feature | learning | framework for no-reference image quality assessment |
| Unsupervised Feature | learning | of Human Actions As Trajectories in Pose Embedding Manifold |
| Unsupervised feature | learning | using Markov deep belief network |
| Unsupervised Feature | learning | via Non-parametric Instance Discrimination |
| Unsupervised feature | learning | with C-SVDDNet |
| Unsupervised Feature Representation | learning | for Domain-generalized Cross-domain Image Retrieval |
| Unsupervised Feature Selection and | learning | for Image Segmentation |
| Unsupervised feature selection based on spectral regression from manifold | learning | for facial expression recognition |
| Unsupervised feature selection by combining subspace | learning | with feature self-representation |
| Unsupervised feature selection by | learning | exponential weights |
| Unsupervised feature selection by nonnegative sparsity adaptive subspace | learning | |
| Unsupervised feature selection by self-paced | learning | regularization |
| Unsupervised feature selection using clustering ensembles and population based incremental | learning | algorithm |
| Unsupervised feature selection with adaptive multiple graph | learning | |
| Unsupervised Feature Selection with Local Structure | learning | |
| Unsupervised Feature- | learning | for Hyperspectral Data with Autoencoders |
| Unsupervised Feedforward Feature (UFF) | learning | for Point Cloud Classification and Segmentation |
| Unsupervised Few-Shot Image Classification by | learning | Features into Clustering Space |
| Unsupervised Generative Variational Continual | learning | |
| Unsupervised Global and Local Homography Estimation With Motion Basis | learning | |
| Unsupervised Graph Embedding via Adaptive Graph | learning | |
| Unsupervised HDR Image and Video Tone Mapping via Contrastive | learning | |
| Unsupervised Heterogeneous Coupling | learning | for Categorical Representation |
| Unsupervised Hierarchical Feature | learning | Framework for One-Shot Image Recognition, An |
| Unsupervised High-Resolution Depth | learning | From Videos With Dual Networks |
| Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point | learning | of Multivariate GGMM |
| Unsupervised Hyperbolic Metric | learning | |
| Unsupervised Hyperbolic Representation | learning | via Message Passing Auto-Encoders |
| unsupervised image segmentation algorithm based on the machine | learning | of appropriate features, An |
| Unsupervised Image Steganalysis Method Using Self- | learning | Ensemble Discriminant Clustering |
| Unsupervised incremental | learning | for improved object detection in a video |
| Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without | learning | Priors |
| Unsupervised Internet-Based Category | learning | for Object Recognition |
| Unsupervised Joint 3D Object Model | learning | and 6D Pose Estimation for Depth-Based Instance Segmentation |
| Unsupervised Joint Contrastive | learning | for Aerial Person Re-Identification and Remote Sensing Image Classification |
| Unsupervised Joint Feature | learning | and Encoding for RGB-D Scene Labeling |
| Unsupervised kernel | learning | for abnormal events detection |
| Unsupervised Label | learning | on Manifolds by Spatially Regularized Geometric Assignment |
| Unsupervised Language | learning | for Discovered Visual Concepts |
| Unsupervised | learning | Algorithm for Intelligent Image Analysis, An |
| Unsupervised | learning | and Mapping of Active Brain Functional MRI Signals Based on Hidden Semi-Markov Event Sequence Models |
| Unsupervised | learning | and Segmentation of Complex Activities from Video |
| Unsupervised | learning | approach for abnormal event detection in surveillance video by revealing infrequent patterns |
| Unsupervised | learning | Approach for Road Anomaly Segmentation Using RGB-D Sensor for Advanced Driver Assistance System, An |
| Unsupervised | learning | Approach to Adaptive Differential Pulse Code Modulation |
| Unsupervised | learning | Approach to Discontinuity-preserving Image Registration, An |
| Unsupervised | learning | Approach to Resolve Phenotype to Genotype Mapping in Budding Yeasts Vacuoles, An |
| Unsupervised | learning | for Forecasting Action Representations |
| Unsupervised | learning | for Graph Matching |
| Unsupervised | learning | for graph matching |
| Unsupervised | learning | for Human Sensing Using Radio Signals |
| Unsupervised | learning | for Improving Efficiency of Dense Three-Dimensional Scene Recovery in Corridor Mapping |
| Unsupervised | learning | for Intrinsic Image Decomposition from a Single Image |
| Unsupervised | learning | for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach |
| Unsupervised | learning | for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach |
| Unsupervised | learning | for Real-World Super-Resolution |
| Unsupervised | learning | for Robust Fitting: A Reinforcement Learning Approach |
| Unsupervised | learning | for Robust Fitting: A Reinforcement Learning Approach |
| Unsupervised | learning | for Robust Respiratory Signal Estimation From X-Ray Fluoroscopy |
| Unsupervised | learning | framework for interest point detection and description via properties optimization |
| Unsupervised | learning | From Limited Available Data by ß-NMF and Dual Autoencoder |
| Unsupervised | learning | from Linked Documents |
| Unsupervised | learning | from Local Features for Video-Based Face Recognition |
| Unsupervised | learning | from Narrated Instruction Videos |
| Unsupervised | learning | from Video to Detect Foreground Objects in Single Images |
| Unsupervised | learning | From Video With Deep Neural Embeddings |
| Unsupervised | learning | from videos using temporal coherency deep networks |
| Unsupervised | learning | in nongaussian pattern recognition |
| Unsupervised | learning | in Radiology Using Novel Latent Variable Models |
| Unsupervised | learning | in Reservoir Computing for EEG-Based Emotion Recognition |
| Unsupervised | learning | Model for Deformable Medical Image Registration, An |
| Unsupervised | learning | of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy |
| Unsupervised | learning | of 3D Object Categories from Videos in the Wild |
| Unsupervised | learning | of 3D Semantic Keypoints with Mutual Reconstruction |
| Unsupervised | learning | of a finite discrete mixture: Applications to texture modeling and image databases summarization |
| Unsupervised | learning | of a finite gamma mixture using MML: Application to SAR image analysis |
| Unsupervised | learning | of a Finite Mixture Model Based on the Dirichlet Distribution and Its Application |
| Unsupervised | learning | of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception |
| Unsupervised | learning | of a scene-specific coarse gaze estimator |
| Unsupervised | learning | of Accurate Siamese Tracking |
| Unsupervised | learning | of Action Classes With Continuous Temporal Embedding |
| Unsupervised | learning | of Activities in Video Using Scene Context |
| Unsupervised | learning | of Affinity for Image Segmentation: An Inpainting based Approach |
| Unsupervised | learning | of an atlas from unlabeled point-sets |
| Unsupervised | learning | of background modeling parameters in multicamera systems |
| Unsupervised | learning | of behavioural patterns for video-surveillance |
| Unsupervised | learning | of Boosted Tree Classifier Using Graph Cuts for Hand Pose Recognition |
| Unsupervised | learning | of Camera Pose with Compositional Re-estimation |
| Unsupervised | learning | of Categorical Segments in Image Collections |
| Unsupervised | learning | of Categories from Sets of Partially Matching Image Features |
| Unsupervised | learning | of Category-specific Symmetric 3d Keypoints from Point Sets |
| Unsupervised | learning | of Characteristic Object Parts from Videos |
| Unsupervised | learning | of complex articulated kinematic structures combining motion and skeleton information |
| Unsupervised | learning | of Consensus Maximization for 3D Vision Problems |
| Unsupervised | learning | of Debiased Representations with Pseudo-Attributes |
| Unsupervised | learning | of Dense Hierarchical Appearance Representation |
| Unsupervised | learning | of Dense Shape Correspondence |
| Unsupervised | learning | of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks |
| Unsupervised | learning | of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints |
| Unsupervised | learning | of Depth and Ego-Motion from Video |
| Unsupervised | learning | of Depth Estimation and Camera Pose With Multi-Scale GANs |
| Unsupervised | learning | of depth estimation based on attention model and global pose optimization |
| Unsupervised | learning | of Depth from Monocular Videos Using 3D-2D Corresponding Constraints |
| Unsupervised | learning | of Depth, Optical Flow and Pose With Occlusion From 3D Geometry |
| Unsupervised | learning | of Dictionaries of Hierarchical Compositional Models |
| Unsupervised | learning | of Discriminative Attributes and Visual Representations |
| Unsupervised | learning | of Discriminative Edge Measures for Vehicle Matching between Non-Overlapping Cameras |
| Unsupervised | learning | of Discriminative Relative Visual Attributes |
| Unsupervised | learning | of Edges |
| Unsupervised | learning | of Efficient Geometry-Aware Neural Articulated Representations |
| Unsupervised | learning | of event AND-OR grammar and semantics from video |
| Unsupervised | learning | of Face Representations |
| Unsupervised | learning | of Facial Landmarks based on Inter-Intra Subject Consistencies |
| Unsupervised | learning | of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching |
| Unsupervised | learning | of Finite Mixture Models |
| Unsupervised | learning | of finite mixtures using entropy regularization and its application to image segmentation |
| Unsupervised | learning | of Foreground Object Segmentation |
| Unsupervised | learning | of Functional Categories in Video Scenes |
| Unsupervised | learning | of Generalized Gamma Mixture Model With Application in Statistical Modeling of High-Resolution SAR Images |
| Unsupervised | learning | of Generative Topic Saliency for Person Re-identification |
| Unsupervised | learning | of Geometric Sampling Invariant Representations for 3D Point Clouds |
| Unsupervised | learning | of global factors in deep generative models |
| Unsupervised | learning | of Graph Matching With Mixture of Modes via Discrepancy Minimization |
| Unsupervised | learning | of Hand-Printed Characters with Linguistic Information, An |
| Unsupervised | learning | of Hierarchical Semantics of Objects (hSOs) |
| Unsupervised | learning | of hierarchical spatial structures in images |
| Unsupervised | learning | of High Dimensional Environmental Data Using Local Fractality Concept |
| Unsupervised | learning | of high-order structural semantics from images |
| Unsupervised | learning | of Human Action Categories Using Spatial-Temporal Words |
| Unsupervised | learning | of human body parts from video footage |
| Unsupervised | learning | of human expressions, gestures, and actions |
| Unsupervised | learning | of human motion |
| Unsupervised | learning | of human perspective context using ME-DT for efficient human detection in surveillance |
| Unsupervised | learning | of Human Pose Distance Metric via Sparsity Locality Preserving Projections |
| Unsupervised | learning | of Image Manifolds by Semidefinite Programming |
| Unsupervised | learning | of Image Segmentation Based on Differentiable Feature Clustering |
| Unsupervised | learning | of Image Transformations |
| Unsupervised | learning | of Important Objects from First-Person Videos |
| Unsupervised | learning | of Intrinsic Structural Representation Points |
| Unsupervised | learning | of Invariant Feature Hierarchies with Applications to Object Recognition |
| Unsupervised | learning | of invariant features using video |
| Unsupervised | learning | of Landmarks by Descriptor Vector Exchange |
| Unsupervised | learning | of Local Equivariant Descriptors for Point Clouds |
| Unsupervised | learning | of Long-Term Motion Dynamics for Videos |
| Unsupervised | learning | of Metric Representations with Slow Features from Omnidirectional Views |
| Unsupervised | learning | of micro-action exemplars using a Product Manifold |
| Unsupervised | learning | of Models for Recognition |
| Unsupervised | learning | of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction |
| Unsupervised | learning | of motion patterns using generative models |
| Unsupervised | learning | of Multi-Frame Optical Flow with Occlusions |
| Unsupervised | learning | of Multi-Object Events |
| Unsupervised | learning | of multi-task deep variational model |
| Unsupervised | learning | of nonlinear dependencies in natural images |
| Unsupervised | learning | of Object Deformation Models |
| Unsupervised | learning | of Object Features from Video Sequences |
| Unsupervised | learning | of Object Landmarks by Factorized Spatial Embeddings |
| Unsupervised | learning | of Object Models |
| Unsupervised | learning | of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images |
| Unsupervised | learning | of Optical Flow With CNN-Based Non-Local Filtering |
| Unsupervised | learning | of Optical Flow with Deep Feature Similarity |
| Unsupervised | learning | of Optical Flow With Non-Occlusion From Geometry |
| Unsupervised | learning | of optical flow with patch consistency and occlusion estimation |
| Unsupervised | learning | of overcomplete face descriptors |
| Unsupervised | learning | of Part-Based Representations |
| Unsupervised | learning | of Probabilistic Grammar-Markov Models for Object Categories |
| Unsupervised | learning | of probabilistic object models (POMs) for object classification, segmentation and recognition |
| Unsupervised | learning | of Probabilistic Object Models (POMs) for Object Classification, Segmentation, and Recognition Using Knowledge Propagation |
| Unsupervised | learning | of Probably Symmetric Deformable 3D Objects From Images in the Wild |
| Unsupervised | learning | of prototypes and attribute weights |
| Unsupervised | learning | of Saliency Concepts for Natural Image Classification and Retrieval |
| Unsupervised | learning | of Shape Manifolds |
| Unsupervised | learning | of Shape-Motion Patterns for Objects in Urban Street Scenes |
| Unsupervised | learning | of Skeletons from Motion |
| Unsupervised | learning | of spatial structures shared among images |
| Unsupervised | learning | of Spatiotemporally Coherent Metrics |
| Unsupervised | learning | of Stereo Matching |
| Unsupervised | learning | of Stereo Vision with Monocular Depth Cues |
| Unsupervised | learning | of stochastic AND-OR templates for object modeling |
| Unsupervised | learning | of Stroke Tagger for Online Kanji Handwriting Recognition |
| Unsupervised | learning | of supervoxel embeddings for video Segmentation |
| Unsupervised | learning | of Terrain Appearance for Automated Coral Reef Exploration |
| Unsupervised | learning | of translation invariant occlusive components |
| Unsupervised | learning | of video structures in videos using hierarchical statistical models to detect events |
| Unsupervised | learning | of Visual Odometry Using Direct Motion Modeling |
| Unsupervised | learning | of Visual Representations by Solving Jigsaw Puzzles |
| Unsupervised | learning | of Visual Representations Using Videos |
| Unsupervised | learning | of Visual Structure |
| Unsupervised | learning | of visual taxonomies |
| Unsupervised | learning | Strategy for Direction-of-Arrival Estimation Network |
| Unsupervised | learning | Using Locally Linear Embedding: Experiments with Face Pose Analysis |
| Unsupervised | learning | Using the Tensor Voting Graph |
| Unsupervised | learning | via mixtures of skewed distributions with hypercube contours |
| Unsupervised | learning | -based clustering approach for smart identification of pathologies and segmentation of tissues in brain magnetic resonance imaging |
| Unsupervised | learning | -Based Framework for Deepfake Video Detection |
| Unsupervised | learning | -based long-term superpixel tracking |
| Unsupervised Machine | learning | for GNSS Reflectometry Inland Water Body Detection |
| Unsupervised Machine | learning | on Domes in the Lunar Gardner Region: Implications for Dome Classification and Local Magmatic Activities on the Moon |
| Unsupervised manifold | learning | based on multiple feature spaces |
| Unsupervised manifold | learning | by correlation graph and strongly connected components for image retrieval |
| Unsupervised Manifold | learning | for Video Genre Retrieval |
| Unsupervised manifold | learning | through reciprocal kNN graph and Connected Components for image retrieval tasks |
| Unsupervised manifold | learning | using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks |
| Unsupervised Maritime Vessel Re-Identification With Multi-Level Contrastive | learning | |
| Unsupervised Medical Image Alignment With Curriculum | learning | |
| Unsupervised Meta | learning | With Multiview Constraints for Hyperspectral Image Small Sample set Classification |
| Unsupervised meta- | learning | for few-shot learning |
| Unsupervised meta- | learning | for few-shot learning |
| Unsupervised metric | learning | by Self-Smoothing Operator |
| Unsupervised metric | learning | for face identification in TV video |
| Unsupervised Modality-Transferable Video Highlight Detection With Representation Activation Sequence | learning | |
| Unsupervised motion pattern | learning | for motion segmentation |
| Unsupervised multi-domain image translation with domain representation | learning | |
| Unsupervised multi-feature tag relevance | learning | for social image retrieval |
| Unsupervised Multi-Shot Person Re-Identification Method via Mutual Normalized Sparse Representation and Stepwise | learning | , An |
| Unsupervised Multi-source Domain Adaptation Driven by Deep Adversarial Ensemble | learning | |
| Unsupervised multi-target trajectory detection, | learning | and analysis in complicated environments |
| Unsupervised Multi-Task Feature | learning | on Point Clouds |
| Unsupervised Multi-Task | learning | for 3D Subtomogram Image Alignment, Clustering and Segmentation |
| Unsupervised Multi-task | learning | with Hierarchical Data Structure |
| Unsupervised multi-view feature extraction with dynamic graph | learning | |
| Unsupervised Multi-View Gaze Representation | learning | |
| Unsupervised Multimodal Video-to-Video Translation via Self-Supervised | learning | |
| Unsupervised Multiple Object Cosegmentation via Ensemble MIML | learning | |
| Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep | learning | |
| Unsupervised Multiview Nonnegative Correlated Feature | learning | for Data Clustering |
| Unsupervised Nonlinear Manifold | learning | |
| Unsupervised Object Class Discovery via Saliency-Guided Multiple Class | learning | |
| Unsupervised Object-Centric | learning | From Multiple Unspecified Viewpoints |
| Unsupervised One-Class | learning | for Automatic Outlier Removal |
| Unsupervised Online | learning | for Fine-Grained Hand Segmentation in Egocentric Video |
| Unsupervised online | learning | of visual focus of attention |
| Unsupervised online | learning | trajectory analysis based on weighted directed graph |
| Unsupervised Outlier Detection Using Memory and Contrastive | learning | |
| Unsupervised Part | learning | for Visual Recognition |
| Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency | learning | |
| Unsupervised Person Re-identification by Deep | learning | Tracklet Association |
| Unsupervised person re-identification by dynamic hybrid contrastive | learning | |
| Unsupervised person re-identification by part-compensated soft multi-label | learning | |
| Unsupervised Person Re-Identification by Soft Multilabel | learning | |
| Unsupervised Person Re-Identification Via Global-Level and Patch-Level Discriminative Feature | learning | |
| Unsupervised person re-identification via multi-domain joint | learning | |
| Unsupervised person re-identification via re-ranking enhanced sample-specific metric | learning | |
| Unsupervised Person Re-Identification via Softened Similarity | learning | |
| Unsupervised person re-identification with multi-label | learning | guided self-paced clustering |
| Unsupervised Point Cloud Object Co-segmentation by Co-contrastive | learning | and Mutual Attention Sampling |
| Unsupervised Point Cloud Representation | learning | With Deep Neural Networks: A Survey |
| Unsupervised Pre-Trained, Texture Aware and Lightweight Model for Deep | learning | Based Iris Recognition Under Limited Annotated Data |
| Unsupervised Procedure | learning | via Joint Dynamic Summarization |
| Unsupervised Reinforcement | learning | of Transferable Meta-Skills for Embodied Navigation |
| Unsupervised representation | learning | by discovering reliable image relations |
| Unsupervised Representation | learning | by Sorting Sequences |
| Unsupervised Representation | learning | for Binary Networks by Joint Classifier Learning |
| Unsupervised Representation | learning | for Binary Networks by Joint Classifier Learning |
| Unsupervised Representation | learning | for Gaze Estimation |
| Unsupervised Representation | learning | for Tissue Segmentation in Histopathological Images: From Global to Local Contrast |
| Unsupervised Salience | learning | for Person Re-identification |
| Unsupervised SAR Change Detection Method Based on Stochastic Subspace Ensemble | learning | , An |
| Unsupervised Scale-Consistent Depth | learning | from Video |
| Unsupervised Segmentation of Objects using Efficient | learning | |
| Unsupervised Selective Labeling for More Effective Semi-supervised | learning | |
| Unsupervised Selective Transfer | learning | for Object Recognition |
| Unsupervised similarity | learning | through Cartesian product of ranking references |
| Unsupervised skeleton | learning | for manifold denoising |
| Unsupervised soft-to-hard hashing with contrastive | learning | |
| Unsupervised sound localization via iterative contrastive | learning | |
| Unsupervised Sparse, Nonnegative, Low Rank Dictionary | learning | for Detection of Driver Cell Phone Usage |
| Unsupervised Spatial-Spectral Feature | learning | by 3D Convolutional Autoencoder for Hyperspectral Classification |
| Unsupervised Spectral-Spatial Feature | learning | via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification |
| Unsupervised State Representation | learning | in Partially Observable Atari Games |
| Unsupervised Structure | learning | : Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion |
| Unsupervised Tibetan speech features | learning | based on Dynamic Bayesian Networks |
| Unsupervised Transfer | learning | via Multi-Scale Convolutional Sparse Coding for Biomedical Applications |
| Unsupervised Tube Extraction Using Transductive | learning | and Dense Trajectories |
| Unsupervised Variational | learning | of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting |
| Unsupervised Video Representation | learning | by Bidirectional Feature Prediction |
| Unsupervised Video Summarization via Attention-driven Adversarial | learning | |
| Unsupervised Video Summarization via Deep Reinforcement | learning | With Shot-Level Semantics |
| Unsupervised Video Summarization via Relation-Aware Assignment | learning | |
| Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate | learning | |
| Unsupervised Visual Attention and Invariance for Reinforcement | learning | |
| Unsupervised visual feature | learning | with spike-timing-dependent plasticity: How far are we from traditional feature learning approaches? |
| Unsupervised visual feature | learning | with spike-timing-dependent plasticity: How far are we from traditional feature learning approaches? |
| Unsupervised Visual Representation | learning | by Context Prediction |
| Unsupervised Visual Representation | learning | by Graph-Based Consistent Constraints |
| Unsupervised Visual Representation | learning | by Online Constrained K-Means |
| Unsupervised Visual Representation | learning | by Synchronous Momentum Grouping |
| Unsupervised Visual Representation | learning | by Tracking Patches in Video |
| Unsupervised Visual Representation | learning | via Dual-Level Progressive Similar Instance Selection |
| Unsupervised Visual Representation | learning | via Multi-Dimensional Relationship Alignment |
| unsupervised, online | learning | framework for moving object detection, An |
| Unveiling Groups of Related Tasks in Multi-Task | learning | |
| Unveiling Image Classifiers: An In-Depth Comparative Exploration of Machine | learning | Algorithms |
| Unveiling Social Relations: Leveraging Interpersonal Similarity | learning | for Social Relation Recognition |
| Up-View Visual-Based Indoor Positioning Method via Deep | learning | , An |
| Updatable Siamese tracker with two-stage one-shot | learning | |
| Updated Global Navigation Satellite System Observations and Attention-Based Convolutional Neural Network-Long Short-Term Memory Network Deep | learning | Algorithms to Predict Landslide Spatiotemporal Displacement |
| Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer | learning | Approach |
| UPFlow: Upsampling Pyramid for Unsupervised Optical Flow | learning | |
| Upright-Net: | learning | Upright Orientation for 3D Point Cloud |
| Upscaling of Latent Heat Flux in Heihe River Basin Based on Transfer | learning | Model |
| Upscaling of Surface Soil Moisture Using a Deep | learning | Model with VIIRS RDR |
| Urban Architectural Style Recognition and Dataset Construction Method under Deep | learning | of street View Images: A Case Study of Wuhan |
| Urban Change Detection from Aerial Images Using Convolutional Neural Networks and Transfer | learning | |
| Urban flood mapping with an active self- | learning | convolutional neural network based on TerraSAR-X intensity and interferometric coherence |
| Urban Flood Risk Assessment through the Integration of Natural and Human Resilience Based on Machine | learning | Models |
| Urban Green Plastic Cover Mapping Based on VHR Remote Sensing Images and a Deep Semi-Supervised | learning | Framework |
| Urban Growth Forecast Using Machine | learning | Algorithms and GIS-Based Novel Techniques: A Case Study Focusing on Nasiriyah City, Southern Iraq |
| Urban Multiple Route Planning Model Using Dynamic Programming in Reinforcement | learning | |
| Urban Road Lane Number Mining from Low-Frequency Floating Car Data Based on Deep | learning | |
| Urban Sprawl and COVID-19 Impact Analysis by Integrating Deep | learning | with Google Earth Engine |
| Urban Traffic Control in Software Defined Internet of Things via a Multi-Agent Deep Reinforcement | learning | Approach |
| Urban Traffic Route Guidance Method With High Adaptive | learning | Ability Under Diverse Traffic Scenarios |
| Urban-Rural Gradients Predict Educational Gaps: Evidence from a Machine | learning | Approach Involving Academic Performance and Impervious Surfaces in Ecuador |
| Usability test of game-based | learning | in safe-medication education for older adults |
| USCFormer: Unified Transformer With Semantically Contrastive | learning | for Image Dehazing |
| USD: Uncertainty-Based One-Phase | learning | to Enhance Pseudo-Label Reliability for Semi-Supervised Object Detection |
| Use All The Labels: A Hierarchical Multi-Label Contrastive | learning | Framework |
| Use of Airborne Radar Images and Machine | learning | Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest |
| Use of C-Band and X-Band SAR with Machine | learning | for Detecting Small-Scale Mining, The |
| use of deep | learning | features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification, The |
| Use of Deep Machine | learning | for the Automated Selection of Remote Sensing Data for the Determination of Areas of Arable Land Degradation Processes Distribution, The |
| Use of Genetic Programming for | learning | 3D Craniofacial Shape Quantifications, The |
| Use of IFS Codes for | learning | 2D Isolated-Object Classification Systems |
| Use of Landscape Metrics and Transfer | learning | to Explore Urban Villages in China, The |
| Use of | learning | classifier systems in microscopic toll plaza simulation models |
| Use of Machine | learning | Algorithms in Urban Tree Species Classification, The |
| Use of Machine | learning | Methods to Detect Defects in Images of Metal Structures, The |
| Use of Machine | learning | Techniques for Rapid Detection, Assessment And Mapping The Impact of Disasters On Transport Infrastructure |
| Use of Machine | learning | to Improve the Robustness of Spatial Estimation of Evapotranspiration |
| Use of Multivariate Machine | learning | Analysis Techniques for Flood Risk Prevention |
| use of single-date MODIS imagery for estimating large-scale urban impervious surface fraction with spectral mixture analysis and machine | learning | techniques, The |
| Use of the Area Under the ROC Curve in the Evaluation of Machine | learning | Algorithms, The |
| Use Remote Sensing and Machine | learning | to Study the Changes of Broad-Leaved Forest Biomass and Their Climate Driving Forces in Nature Reserves of Northern Subtropics |
| Use the Force, Luke! | learning | to Predict Physical Forces by Simulating Effects |
| User Association for Load Balancing in Vehicular Networks: An Online Reinforcement | learning | Approach |
| User Feedback, | learning | in the Query, Relevance Feedback |
| User-Centric | learning | and Evaluation of Interactive Segmentation Systems |
| User-Guided Personalized Image Aesthetic Assessment Based on Deep Reinforcement | learning | |
| Using a Deep | learning | Algorithm to Improve the Results Obtained in the Recognition of Vessels Size and Trajectory Patterns in Shallow Areas Based on Magnetic Field Measurements Using Fluxgate Sensors |
| Using acceleration measurements for activity recognition: An effective | learning | algorithm for constructing neural classifiers |
| Using an Interpretable Machine | learning | Framework to Understand the Relationship of Mobility and Reliability Indices on Truck Drivers' Route Choices |
| Using Animation in Active | learning | Tool to Detect Possible Attacks in Cryptographic Protocols |
| Using Background Knowledge in Multilayer Perceptron | learning | |
| Using collaborative | learning | for image contrast enhancement |
| Using Confusion Reject to Improve (User and) System (Cross) | learning | of Gesture Commands |
| Using Convolutional Neural Networks and Transfer | learning | for Bone Age Classification |
| Using Deep | learning | and Advanced Image Processing for the Automated Estimation of Tornado-Induced Treefall |
| Using Deep | learning | and Hough Transformations to Infer Mineralised Veins From Lidar Data Over Historic Mining Areas |
| Using Deep | learning | and Very-High-Resolution Imagery to Map Smallholder Field Boundaries |
| Using Deep | learning | Depth Maps to Improve Monocular SLAM |
| Using Deep | learning | for image watermarking attack |
| Using Deep | learning | for Restoration of Precipitation Echoes in Radar Data |
| Using Deep | learning | Methods for Segmenting Polar Mesospheric Summer Echoes |
| Using Deep | learning | to Count Albatrosses from Space: Assessing Results in Light of Ground Truth Uncertainty |
| Using Deep | learning | to Digitize Road Arrow Markings From Lidar Point Cloud Derived Images |
| Using Deep | learning | to Improve Detection and Decoding Of Barcodes |
| Using Deep | learning | to Map Ionospheric Total Electron Content over Brazil |
| Using Deep | learning | to Model Elevation Differences between Radar and Laser Altimetry |
| Using Deep Reinforcement | learning | to Automate Network Configurations for Internet of Vehicles |
| Using Flickr Data to Understand Image of Urban Public Spaces with a Deep | learning | Model: A Case Study of the Haihe River in Tianjin |
| Using fuzzy least squares support vector machine with metric | learning | for object tracking |
| Using Gaussian Processes to Improve Zero-Shot | learning | with Relative Attributes |
| Using GIS and Machine | learning | to Classify Residential Status of Urban Buildings in Low and Middle Income Settings |
| Using GIS, Remote Sensing, and Machine | learning | to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential |
| Using GPUs for machine | learning | algorithms |
| Using Graph-Theoretic Machine | learning | to Predict Human Driver Behavior |
| Using Kernel Density Classifier with Topic Model and Cost Sensitive | learning | for Automatic Text Categorization |
| Using Linking Features in | learning | Non-parametric Part Models |
| Using Machine | learning | Algorithm to Detect Blowing Snow and Fog in Antarctica Based on Ceilometer and Surface Meteorology Systems |
| Using Machine | learning | for Content-Based Image Retrieving |
| Using Machine | learning | Methods to Identify Particle Types from Doppler Lidar Measurements in Iceland |
| Using Machine | learning | to Extract Building Inventory Information Based on LiDAR Data |
| Using Machine | learning | to Map Western Australian Landscapes for Mineral Exploration |
| Using Machine | learning | to Refer Patients with Chronic Kidney Disease to Secondary Care |
| Using Machine- | learning | for the Damage Detection of Harbour Structures |
| Using Multi-modal Machine | learning | for User Behavior Prediction in Simulated Smart Home for Extended Reality |
| Using multiple sensors for reliable markerless identification through supervised | learning | |
| Using OpenStreetMap Data and Machine | learning | to Generate Socio-Economic Indicators |
| Using Reinforcement | learning | to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation |
| Using Reinforcement | learning | With Partial Vehicle Detection for Intelligent Traffic Signal Control |
| Using Remote Sensing and Machine | learning | to Locate Groundwater Discharge to Salmon-Bearing Streams |
| Using Semantic Information to Improve Generalization of Reinforcement | learning | Policies for Autonomous Driving |
| Using Sentinel-2 Imagery and Machine | learning | Algorithms to Assess the Inundation Status of Nebraska Conservation Easements during 2018-2021 |
| Using Shape to Categorize: Low-Shot | learning | with an Explicit Shape Bias |
| Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary | learning | in a Spike-Based Sparse Coding Model |
| Using spatio-temporal deep | learning | for forecasting demand and supply-demand gap in ride-hailing system with anonymised spatial adjacency information |
| Using Statistical Measures and Machine | learning | for Graph Reduction to Solve Maximum Weight Clique Problems |
| Using Supervised Deep | learning | for Human Age Estimation Problem |
| Using Supervised | learning | and Comparing General and ANTI-HIV Drug Databases Using Chemoinformatics |
| Using Tactic-Based | learning | (formerly Mentoring) to Accelerate Recovery of an Adaptive Learning System in a Changing Environment |
| Using Tactic-Based | learning | (formerly Mentoring) to Accelerate Recovery of an Adaptive Learning System in a Changing Environment |
| Using the Pn Potts model with | learning | methods to segment live cell images |
| Using theoretical ROC curves for analysing machine | learning | binary classifiers |
| Using Transfer | learning | for Malware Classification |
| Using unsupervised | learning | of a finite Dirichlet mixture model to improve pattern recognition applications |
| Using visual features based on MPEG-7 and deep | learning | for movie recommendation |
| Using Whole Slide Image Representations from Self-supervised Contrastive | learning | for Melanoma Concordance Regression |
| UTC: A Unified Transformer with Inter-Task Contrastive | learning | for Visual Dialog |
| Utilization of synthetic minority oversampling technique for improving potato yield prediction using remote sensing data and machine | learning | algorithms with small sample size of yield data |
| Utilizing CNNs and transfer | learning | of pre-trained models for age range classification from unconstrained face images |
| Utilizing Deep | learning | and 3DLBP for 3D Face Recognition |
| Utilizing Deep | learning | Towards Multi-Modal Bio-Sensing and Vision-Based Affective Computing |
| Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep | learning | |
| Utilizing Hyperspectral Reflectance and Machine | learning | Algorithms for Non-Destructive Estimation of Chlorophyll Content in Citrus Leaves |
| Utilizing Locality-Sensitive Hash | learning | for Cross-Media Retrieval |
| Utilizing machine | learning | approaches to improve the prediction of leaf counts and individual leaf segmentation of rosette plant images |
| Utilizing non-uniform cost | learning | for active control of inter-class confusion |
| Utilizing Shape-Based Feature and Discriminative | learning | for Building Detection |
| Utilizing Transfer | learning | and a Customized Loss Function for Optic Disc Segmentation from Retinal Images |
| UTR: Unsupervised | learning | of Thickness-Insensitive Representations for Electron Microscope Image |
| UV-Net: | learning | from Boundary Representations |
| UVStyle-Net: Unsupervised Few-shot | learning | of 3D Style Similarity Measure for B-Reps |
| U²-Former: Nested U-Shaped Transformer for Image Restoration via Multi-View Contrastive | learning | |
| V-Volcano: Addressing Students' Misconceptions in Earth Sciences | learning | through Virtual Reality Simulations |
| V2A - Vision to Action: | learning | Robotic Arm Actions Based on Vision and Language |
| Va2mass: Towards the Fluid Filling Mass Estimation via Integration of Vision and Audio | learning | |
| VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active | learning | |
| Vacant Parking Space Detection based on Task Consistency and Reinforcement | learning | |
| Valid Multi-View Face Detection Tree Based on Floatboost | learning | , A |
| Validation and Calibration of Significant Wave Height and Wind Speed Retrievals from HY2B Altimeter Based on Deep | learning | |
| Validation of blind region | learning | and tracking |
| Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active | learning | Procedure |
| Validation of Machine | learning | Techniques: Decision Trees and Finite Training Set |
| Validation of Visually Interpreted CORINE Land Cover Classes with Spectral Values of Satellite Images and Machine | learning | |
| Value directed | learning | of gestures and facial displays |
| Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep | learning | , The |
| Value-based deep reinforcement | learning | for adaptive isolated intersection signal control |
| Vanishing Point Detection Using the Teaching | learning | -Based Optimisation Algorithm |
| VANT-GAN: Adversarial | learning | for Discrepancy-Based Visual Attribution in Medical Imaging |
| Variable Few Shot Class Incremental and Open World | learning | |
| Variable Module Graphs: A Framework For Inference and | learning | in Modular Vision Systems |
| variance maximization criterion for active | learning | , A |
| Variance Reduced Domain Randomization for Reinforcement | learning | With Policy Gradient |
| variance-based Bayesian framework for improving Land-Cover classification through wide-area | learning | from large geographic regions, A |
| Variance-preserving deep metric | learning | for content-based image retrieval |
| variant of | learning | vector quantizer based on split-merge statistical tests, A |
| Variation | learning | guided convolutional network for image interpolation |
| Variational Adversarial Active | learning | |
| Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain | learning | in Crowd Counting |
| Variational Auto-Encoders Without Graph Coarsening For Fine Mesh | learning | |
| Variational Bayes Based Approach to Robust Subspace | learning | |
| Variational Bayes for Continuous Hidden Markov Models and Its Application to Active | learning | |
| Variational Bayesian and Generalized Approximate Message Passing-Based Sparse Bayesian | learning | Model for Image Reconstruction |
| variational Bayesian method for similarity | learning | in non-rigid image registration, A |
| Variational Bayesian Multiple Instance | learning | with Gaussian Processes |
| Variational Cross-Graph Reasoning and Adaptive Structured Semantics | learning | for Compositional Temporal Grounding |
| Variational Data-Free Knowledge Distillation for Continual | learning | |
| Variational Distribution | learning | for Unsupervised Text-to-Image Generation |
| Variational Few-Shot | learning | |
| Variational Hierarchical Mixtures for Probabilistic | learning | of Inverse Dynamics |
| Variational HyperAdam: A Meta- | learning | Approach to Network Training |
| Variational Hyperparameter Inference for Few-Shot | learning | Across Domains |
| Variational Inference Method for Few-Shot | learning | , A |
| Variational | learning | of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection |
| Variational | learning | of Mixture Wishart Model for PolSAR Image Classification |
| Variational Low-Rank Matrix Factorization with Multi-Patch Collaborative | learning | for Hyperspectral Imagery Mixed Denoising |
| Variational Manifold | learning | From Incomplete Data: Application to Multislice Dynamic MRI |
| Variational Networks: Connecting Variational Methods and Deep | learning | |
| Variational Prototype | learning | for Deep Face Recognition |
| Variational Prototyping-Encoder: One-Shot | learning | With Prototypical Images |
| Variational Representation | learning | for Vehicle Re-Identificati |
| Variational-Based Mixed Noise Removal With CNN Deep | learning | Regularization |
| Variational-EM-Based Deep | learning | for Noise-Blind Image Deblurring |
| VCL-PL:Semi-Supervised | learning | from Noisy Web Data with Variational Contrastive Learning |
| VCL-PL:Semi-Supervised | learning | from Noisy Web Data with Variational Contrastive Learning |
| vCLIMB: A Novel Video Class Incremental | learning | Benchmark |
| VConv-DAE: Deep Volumetric Shape | learning | Without Object Labels |
| VDFlow: Joint | learning | for Optical Flow and Video Deblurring |
| VecFontSDF: | learning | to Reconstruct and Synthesize High-Quality Vector Fonts via Signed Distance Functions |
| Vector ordering and regression | learning | -based ranking for dynamic summarisation of user videos |
| Vector Quantization Code Book Generation, | learning | and Search |
| Vector Quantization with Self-Attention for Quality-Independent Representation | learning | |
| Vectorization and Rasterization: Self-Supervised | learning | for Sketch and Handwriting |
| Vectorized Evidential | learning | for Weakly-Supervised Temporal Action Localization |
| Vegetation Land Segmentation with Multi-Modal and Multi-Temporal Remote Sensing Images: A Temporal | learning | Approach and a New Dataset |
| Vegetation-Ice-Bare Land Cover Conversion in the Oceanic Glacial Region of Tibet Based on Multiple Machine | learning | Classifications |
| Vehicle automatic driving system based on embedded and machine | learning | |
| Vehicle Behavior | learning | via Sparse Reconstruction with L_2-L_p Minimization and Trajectory Similarity |
| vehicle classification model based on deep active | learning | , A |
| Vehicle color classification using manifold | learning | methods from urban surveillance videos |
| Vehicle Color Recognition With Spatial Pyramid Deep | learning | |
| Vehicle Detection and Tracking in Adverse Weather Using a Deep | learning | Framework |
| Vehicle Detection in High Resolution Image Based on Deep | learning | |
| Vehicle Detection Using Alex Net and Faster R-CNN Deep | learning | Models: A Comparative Study |
| Vehicle Detection with Automotive Radar Using Deep | learning | on Range-Azimuth-Doppler Tensors |
| Vehicle Instance Segmentation From Aerial Image and Video Using a Multitask | learning | Residual Fully Convolutional Network |
| Vehicle logo recognition using whitening transformation and deep | learning | |
| Vehicle Logo Retrieval Based on Hough Transform and Deep | learning | |
| Vehicle Re-Identification based on Ensembling Deep | learning | Features including a Synthetic Training Dataset, Orientation and Background Features, and Camera Verification. |
| Vehicle Re-Identification in Multi-Camera scenarios based on Ensembling Deep | learning | Features |
| Vehicle re-identification in still images: Application of semi-supervised | learning | and re-ranking |
| Vehicle Re-Identification Using Distance-Based Global and Partial Multi-Regional Feature | learning | |
| Vehicle Re-Identification Using Quadruple Directional Deep | learning | Features |
| Vehicle Re-Identification with Viewpoint-Aware Metric | learning | |
| Vehicle Selection and Resource Optimization for Federated | learning | in Vehicular Edge Computing |
| Vehicle sparse recognition via class dictionary | learning | |
| Vehicle Trajectory Clustering Based on Dynamic Representation | learning | of Internet of Vehicles |
| Vehicle Turning Behavior Modeling at Conflicting Areas of Mixed-Flow Intersections Based on Deep | learning | |
| Vehicle Type Recognition in Surveillance Images From Labeled Web-Nature Data Using Deep Transfer | learning | |
| Vehicle-Borne Mobile Mapping System Based Framework for Semantic Segmentation and Modeling on Overhead Catenary System Using Deep | learning | , A |
| Vehicle-Road Environment Perception Under Low-Visibility Condition Based on Polarization Features via Deep | learning | |
| VehicleNet: | learning | Robust Visual Representation for Vehicle Re-Identification |
| Vehicular traffic density estimation via statistical methods with automated state | learning | |
| Vending Shopper Science Lab: Deep | learning | for Consumer Research, The |
| VeNet: Hybrid Stacked Autoencoder | learning | for Cooperative Edge Intelligence in IoV |
| Ventricle Surface Reconstruction from Cardiac MR Slices Using Deep | learning | |
| VEPL-Net: A Deep | learning | Ensemble for Automatic Segmentation of Vegetation Encroachment in Power Line Corridors Using UAV Imagery |
| Versatile | learning | -Based 3D Temporal Tracker: Scalable, Robust, Online, A |
| Versatile Multiple Choice | learning | and Its Application to Vision Computing |
| Vertebral Compression Fracture detection using Multiple Instance | learning | and Majority Voting |
| Vertically Resolved Global Ocean Light Models Using Machine | learning | |
| Very Deep Sequences | learning | Approach for Human Action Recognition, A |
| Very High Resolution Land Use and Land Cover Mapping Using Pleiades-1 Stereo Imagery and Machine | learning | |
| Very High-Resolution Imagery and Machine | learning | for Detailed Mapping of Riparian Vegetation and Substrate Types |
| VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks Using Deep Reinforcement | learning | |
| VGAN-Based Image Representation | learning | for Privacy-Preserving Facial Expression Recognition |
| VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot | learning | |
| VHR satellite image segmentation based on topological unsupervised | learning | |
| VHRShips: An Extensive Benchmark Dataset for Scalable Deep | learning | -Based Ship Detection Applications |
| VHS to HDTV Video Translation Using Multi-task Adversarial | learning | |
| VI-Net: Boosting Category-level 6D Object Pose Estimation via | learning | Decoupled Rotations on the Spherical Representations |
| Vi2CLR: Video and Image for Visual Contrastive | learning | of Representation |
| Vibration-Based Uncertainty Estimation for | learning | from Limited Supervision |
| Video action detection by | learning | graph-based spatio-temporal interactions |
| Video Activity Extraction and Reporting with Incremental Unsupervised | learning | |
| Video Annotation and Retrieval Using Ontologies and Rule | learning | |
| Video Annotation by Active | learning | and Cluster Tuning |
| Video Annotation by Incremental | learning | from Grouped Heterogeneous Sources |
| Video Anomaly Detection via Sequentially | learning | Multiple Pretext Tasks |
| Video anomaly detection with NTCN-ML: A novel TCN for multi-instance | learning | |
| Video attention: | learning | to detect a salient object sequence |
| Video Big Data Retrieval Over Media Cloud: A Context-Aware Online | learning | Approach |
| Video Browsing for Course-on-Demand in Distance | learning | |
| Video Captioning via Hierarchical Reinforcement | learning | |
| Video captioning with text-based dynamic attention and step-by-step | learning | |
| Video Contrastive | learning | with Global Context |
| Video Degradation Model and Its Application to Character Recognition in e- | learning | Videos |
| Video denoising by online 3D sparsifying transform | learning | |
| Video Event Detection via Multi-modality Deep | learning | |
| Video Frame-wise Explanation Driven Contrastive | learning | for Procedural Text Generation |
| Video Geo-Localization Employing Geo-Temporal Feature | learning | and GPS Trajectory Smoothing |
| Video Jigsaw: Unsupervised | learning | of Spatiotemporal Context for Video Action Recognition |
| Video object matching across multiple independent views using local descriptors and adaptive | learning | |
| Video object matching across multiple non-overlapping camera views based on multi-feature fusion and incremental | learning | |
| Video object pursuit by tri-tracker with on-line | learning | from positive and negative candidates |
| video object segmentation algorithm based on the feature | learning | and shape tracking, A |
| Video Object Segmentation and Tracking Using psi- | learning | Classification |
| Video Object Segmentation by | learning | Location-Sensitive Embeddings |
| Video Object Segmentation Using Global and Instance Embedding | learning | |
| Video Person Re-Identification by Temporal Residual | learning | |
| Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation | learning | |
| Video Prediction Recalling Long-term Motion Context via Memory Alignment | learning | |
| Video Processing and | learning | in Assistive Robotic Applications |
| Video Question Answering With Prior Knowledge and Object-Sensitive | learning | |
| Video Representation | learning | by Dense Predictive Coding |
| Video Representation | learning | by Recognizing Temporal Transformations |
| Video representation | learning | for temporal action detection using global-local attention |
| Video representation | learning | through prediction for online object detection |
| Video Representation | learning | Using Discriminative Pooling |
| Video Retrieval by Feature | learning | in Key Frames |
| Video saliency detection based on spatiotemporal feature | learning | |
| Video SAR Image Despeckling by Unsupervised | learning | |
| Video Scene Parsing with Predictive Feature | learning | |
| Video scene parsing: An overview of deep | learning | methods and datasets |
| Video Seals Recognition using Transfer | learning | of Convolutional Neural Network |
| Video semantic segmentation using deep multi-view representation | learning | |
| Video sequence | learning | and recognition via dynamic SOM |
| Video Summarization by | learning | Deep Side Semantic Embedding |
| Video Summarization by | learning | From Unpaired Data |
| Video Summarization by | learning | Relationships between Action and Scene |
| Video summarization by | learning | submodular mixtures of objectives |
| Video Summarization Through Reinforcement | learning | With a 3D Spatio-Temporal U-Net |
| Video Summarization Using Reinforcement | learning | in Eigenspace |
| Video summarization with supervised | learning | |
| Video Super-Resolution via Deep Draft-Ensemble | learning | |
| Video-based emotion recognition in the wild using deep transfer | learning | and score fusion |
| Video-based kinship verification using distance metric | learning | |
| Video-based person re-identification based on regularised hull distance | learning | |
| Video-Based Person Re-identification by 3D Convolutional Neural Networks and Improved Parameter | learning | |
| Video-Based Person Re-Identification by Simultaneously | learning | Intra-Video and Inter-Video Distance Metrics |
| Video-based Pose-Estimation Data as Source for Transfer | learning | in Human Activity Recognition |
| Video-Based Tracking, | learning | , and Recognition Method for Multiple Moving Objects |
| Video-SwinUNet: Spatio-temporal Deep | learning | Framework for VFSS Instance Segmentation |
| Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation | learning | |
| Video-Text Representation | learning | via Differentiable Weak Temporal Alignment |
| Video2vec: | learning | semantic spatio-temporal embeddings for video representation |
| VideoBERT: A Joint Model for Video and Language Representation | learning | |
| VideoINR: | learning | Video Implicit Neural Representation for Continuous Space-Time Super-Resolution |
| VideoMoCo: Contrastive Video Representation | learning | with Temporally Adversarial Examples |
| VideoSSL: Semi-Supervised | learning | for Video Classification |
| VideoTrack: | learning | to Track Objects via Video Transformer |
| VideoWhisper: Toward Discriminative Unsupervised Video Feature | learning | With Attention-Based Recurrent Neural Networks |
| VIDOSAT: High-Dimensional Sparsifying Transform | learning | for Online Video Denoising |
| View Confusion Feature | learning | for Person Re-Identification |
| View Generation for Multiview Maximum Disagreement Based Active | learning | for Hyperspectral Image Classification |
| View Invariant Activity Recognition with Manifold | learning | |
| View Invariant Body Pose Estimation Based on Biased Manifold | learning | |
| View Transfer on Human Skeleton Pose: Automatically Disentangle the View-Variant and View-Invariant Information for Pose Representation | learning | |
| View-Action Representation | learning | for Active First-Person Vision |
| View-Adaptive Metric | learning | for Multi-view Person Re-identification |
| View-Aware Geometry-Structure Joint | learning | for Single-View 3D Shape Reconstruction |
| View-Based 3D Objects Recognition with Expectation Propagation | learning | |
| View-based route- | learning | with self-organizing neural networks |
| View-Consistency | learning | for Incomplete Multiview Clustering |
| View-Invariant Representation and | learning | of Human Action |
| View-specific subspace | learning | and re-ranking for semi-supervised person re-identification |
| ViewAL: Active | learning | With Viewpoint Entropy for Semantic Segmentation |
| ViewCLR: | learning | Self-supervised Video Representation for Unseen Viewpoints |
| Viewpoint-Invariant | learning | and Detection of Human Heads |
| Viewpoint-Invariant Loop Closure Detection Using Step-Wise | learning | With Controlling Embeddings of Landmarks |
| Viewport-Aware Deep Reinforcement | learning | Approach for 360° Video Caching |
| Views Meet Labels: Personalized Relation Refinement Network for Multiview Multilabel | learning | |
| VILA: | learning | Image Aesthetics from User Comments with Vision-Language Pretraining |
| ViLLA: Fine-Grained Vision-Language Representation | learning | from Real-World Data |
| Vine Disease Detection by Deep | learning | Method Combined with 3d Depth Information |
| Vineyard Zoning and Vine Detection Using Machine | learning | in Unmanned Aerial Vehicle Imagery |
| Violence detection and face recognition based on deep | learning | |
| Violent Video Recognition Based on Global-Local Visual and Audio Contrastive | learning | |
| Violin Timbre Navigator: Real-Time Visual Feedback of Violin Bowing Based on Audio Analysis and Machine | learning | |
| ViP-DeepLab: | learning | Visual Perception with Depth-aware Video Panoptic Segmentation |
| VIPNet: A Fast and Accurate Single-View Volumetric Reconstruction by | learning | Sparse Implicit Point Guidance |
| VirTex: | learning | Visual Representations from Textual Annotations |
| Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised | learning | |
| Virtual Heritage | learning | Environments |
| Virtual in Real. Interactive Solutions for | learning | And Communication In the National Archaeological Museum of Marche |
| Virtual Keyboards With Real-Time and Robust Deep | learning | -Based Gesture Recognition |
| Virtual Parameter | learning | -Based Adaptive Control for Protective Automatic Train Operation |
| Virtual perturbations to assess explainability of deep- | learning | based cell fate predictors |
| Virtual sample-based deep metric | learning | using discriminant analysis |
| Virtual special issue on advanced deep | learning | methods for biomedical engineering |
| Virtual Support Vector Machines with self- | learning | strategy for classification of multispectral remote sensing imagery |
| Virtual Tasks but Real Gains: Improving Multi-Task | learning | |
| Virtual Visualisation Laboratory for Science and Mathematics Content (Vlab-SMC) with Special Reference to Teaching and | learning | of Chemistry |
| VirtuaLot: A Case Study on Combining UAS Imagery and Terrestrial Video with Photogrammetry and Deep | learning | to Track Vehicle Movement in Parking Lots |
| VirtualPose: | learning | Generalizable 3D Human Pose Models from Virtual Data |
| VIS-NIR-SWIR Hyperspectroscopy Combined with Data Mining and Machine | learning | for Classification of Predicted Chemometrics of Green Lettuce |
| Visible and Infrared Image Fusion Using Deep | learning | |
| Visible and Thermal Camera-based Jaywalking Estimation Using a Hierarchical Deep | learning | Framework |
| Visible Routes In 3D Dense City Using Reinforcement | learning | |
| ViSiL: Fine-Grained Spatio-Temporal Video Similarity | learning | |
| Vision Image Monitoring on Transportation Infrastructures: A Lightweight Transfer | learning | Approach |
| Vision Processing for Assistive Vision: A Deep Reinforcement | learning | Approach |
| Vision System for Interactive Object | learning | , A |
| Vision Transformer Adapters for Generalizable Multitask | learning | |
| Vision Transformer-Based Ensemble | learning | for Hyperspectral Image Classification |
| Vision-Based Autonomous Vehicle Recognition: A New Challenge for Deep | learning | -Based Systems |
| Vision-Based Human Pose Estimation via Deep | learning | : A Survey |
| Vision-Based | learning | Method for Pushing Manipulation, A |
| Vision-Based Mid-Air Object Detection and Avoidance Approach for Small Unmanned Aerial Vehicles with Deep | learning | and Risk Assessment |
| Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised | learning | |
| Vision-Based Navigation With Language-Based Assistance via Imitation | learning | With Indirect Intervention |
| Vision-Based Robot Path Planning with Deep | learning | |
| Vision-based System for Traffic Anomaly Detection using Deep | learning | and Decision Trees, A |
| Vision-based traffic accident detection using sparse spatio-temporal features and weighted extreme | learning | machine |
| Vision-based vehicle behaviour analysis: a structured | learning | approach via convolutional neural networks |
| Vision-Language Navigation Policy | learning | and Adaptation |
| Vision-Language Pre-Training with Triple Contrastive | learning | |
| Visual and Textual Sentiment Analysis of Daily News Social Media Images by Deep | learning | |
| Visual Commonsense Representation | learning | via Causal Inference |
| Visual Comparison of Images Using Multiple Kernel | learning | for Ranking |
| Visual Compositional | learning | for Human-object Interaction Detection |
| Visual Concept Detection and Annotation via Multiple Kernel | learning | of Multiple Models |
| Visual content | learning | for visualizations memorability classification |
| Visual Continual | learning | |
| Visual Correspondence | learning | and Spatially Attentive Synthesis via Transformer for Exemplar-Based Anime Line Art Colorization |
| Visual Dictionary | learning | for Joint Object Categorization and Segmentation |
| Visual Domain Bridge: A source-free domain adaptation for cross-domain few-shot | learning | |
| Visual Embedding Augmentation in Fourier Domain for Deep Metric | learning | |
| Visual Event Recognition in Videos by | learning | from Web Data |
| Visual Explanation for Deep Metric | learning | |
| Visual Focus of Attention Estimation With Unsupervised Incremental | learning | |
| Visual Goal-Directed Meta-Imitation | learning | |
| Visual Gyroscope: Combination of Deep | learning | Features and Direct Alignment for Panoramic Stabilization |
| Visual Inductive Priors for Data-Efficient Deep | learning | |
| Visual information fusion for object-based video image segmentation using unsupervised Bayesian online | learning | |
| Visual Inspection Method for Subway Tunnel Cracks Based on Multi-Kernel Convolution Cascade Enhancement | learning | |
| Visual Inspection with Federated | learning | |
| Visual landmark | learning | |
| Visual | learning | and classification of human epithelial type 2 cell images through spontaneous activity patterns |
| Visual | learning | And Recognition Of 3-D Objects From Appearance |
| Visual | learning | and recognition of 3D objects using two-dimensional principal component analysis: A robust and an efficient approach |
| Visual | learning | and recognition of a probabilistic spatio-temporal model of cyclic human locomotion |
| Visual | learning | and recognition of sequential data manifolds with applications to human movement analysis |
| Visual | learning | by Coevolutionary Feature Synthesis |
| Visual | learning | by Imitation With Motor Representations |
| Visual | learning | by Integrating Descriptive and Generative Methods |
| Visual | learning | for Landmark Recognition |
| Visual | learning | from Multiple Views |
| Visual | learning | Given Sparse Data of Unknown Complexity |
| Visual | learning | in Application of Integration |
| Visual | learning | Object Models from Appearance |
| Visual | learning | of texture descriptors for facial expression recognition in thermal imagery |
| Visual | learning | of Weight from Shape Using Support Vector Machines |
| Visual | learning | With Limited Labels: Zero-Shot, Few-Shot, Any-Shot, and Cross-Domain Few-Shot Learning |
| Visual | learning | With Limited Labels: Zero-Shot, Few-Shot, Any-Shot, and Cross-Domain Few-Shot Learning |
| Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep | learning | |
| Visual Localization by | learning | Objects-Of-Interest Dense Match Regression |
| Visual Memorability for Robotic Interestingness via Unsupervised Online | learning | |
| Visual motion based behavior | learning | using hierarchical discriminant regression |
| Visual object classification by robots, using on-line, self-supervised | learning | |
| Visual Object Recognition Through One-Class | learning | |
| Visual Object Tracking Based on Mutual | learning | Between Cohort Multiscale Feature-Fusion Networks With Weighted Loss |
| Visual object tracking by correlation filters and online | learning | |
| Visual Object Tracking in Drone Images with Deep Reinforcement | learning | |
| Visual Object Tracking Via Multi-Stream Deep Similarity | learning | Networks |
| Visual object tracking via online sparse instance | learning | |
| Visual object tracking with online | learning | on Riemannian manifolds by one-class support vector machines |
| Visual Object-Oriented | learning | Meets Interaction: Discovery, Representations, and Applications |
| Visual Odometry Algorithm Based on Deep | learning | |
| Visual on-line | learning | in distributed camera networks |
| Visual Permutation | learning | |
| Visual Person Understanding Through Multi-task and Multi-dataset | learning | |
| Visual place recognition: A survey from deep | learning | perspective |
| Visual Prompt Tuning for Generative Transfer | learning | |
| Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer | learning | |
| Visual Question Answering as a Meta | learning | Task |
| Visual question answering in the medical domain based on deep | learning | approaches: A comprehensive study |
| Visual Reaction: | learning | to Play Catch With Your Drone |
| Visual recognition by | learning | from web data: A weakly supervised domain generalization approach |
| Visual Recognition in RGB Images and Videos by | learning | from RGB-D Data |
| Visual Representation and Classification by | learning | Group Sparse Deep Stacking Network |
| Visual representation decoding from human brain activity using machine | learning | : A baseline study |
| Visual Reranking through Weakly Supervised Multi-graph | learning | |
| Visual Salience | learning | via Low Rank Matrix Recovery |
| Visual Saliency Based Active | learning | for Prostate MRI Segmentation |
| Visual Saliency Detection via Kernelized Subspace Ranking With Active | learning | |
| Visual saliency object detection using sparse | learning | |
| Visual Sentiment Prediction Using Cross-Way Few-Shot | learning | Based on Knowledge Distillation |
| Visual SLAM for Automated Driving: Exploring the Applications of Deep | learning | |
| Visual Sound Source Separation with Partial Supervision | learning | |
| Visual speaker authentication by ensemble | learning | over static and dynamic lip details |
| Visual Structure Constraint for Transductive Zero-Shot | learning | in the Wild |
| Visual Tempo Contrastive | learning | for Few-Shot Action Recognition |
| Visual Tracker Using Sequential Bayesian | learning | : Discriminative, Generative, and Hybrid |
| Visual tracking and dynamic | learning | on the Grassmann manifold with inference from a Bayesian framework and state space models |
| Visual tracking and | learning | using speeded up robust features |
| Visual tracking based on Distribution Fields and online weighted multiple instance | learning | |
| Visual tracking based on group sparsity | learning | |
| Visual tracking based on online sparse feature | learning | |
| Visual tracking based on semantic and similarity | learning | |
| Visual Tracking by Means of Deep Reinforcement | learning | and an Expert Demonstrator |
| Visual tracking of deepwater animals using machine | learning | -controlled robotic underwater vehicles |
| Visual Tracking Using Online Semi-supervised | learning | |
| Visual tracking via adaptive multi-task feature | learning | with calibration and identification |
| Visual Tracking via Dynamic Graph | learning | |
| Visual Tracking via Efficient Kernel Discriminant Subspace | learning | |
| Visual tracking via incremental Log-Euclidean Riemannian subspace | learning | |
| Visual Tracking via Joint Discriminative Appearance | learning | |
| Visual Tracking via Nonlocal Similarity | learning | |
| Visual tracking via sparsity pattern | learning | |
| Visual tracking via structural patch-based dictionary pair | learning | |
| Visual Tracking via Subspace | learning | : A Discriminative Approach |
| Visual tracking via weakly supervised | learning | from multiple imperfect oracles |
| Visual tracking via weakly supervised | learning | from multiple imperfect oracles 1 |
| Visual tracking with online Multiple Instance | learning | |
| Visual tracking with semi-supervised online weighted multiple instance | learning | |
| Visual tracking with tree-structured appearance model for online | learning | |
| Visual Tracking With Weighted Adaptive Local Sparse Appearance Model via Spatio-Temporal Context | learning | |
| Visual Transformation Aided Contrastive | learning | for Video-Based Kinship Verification |
| Visual Understanding via Multi-Feature Shared | learning | With Global Consistency |
| Visual-Based Person Detection for Search-and-Rescue with UAS: Humans vs. Machine | learning | Algorithm |
| Visual-Quality-Driven | learning | for Underwater Vision Enhancement |
| Visual-Semantic Aligned Bidirectional Network for Zero-Shot | learning | |
| Visual-Tactile Fused Graph | learning | for Object Clustering |
| Visual-Textual Joint Relevance | learning | for Tag-Based Social Image Search |
| Visualechoes: Spatial Image Representation | learning | Through Echolocation |
| Visualization and machine | learning | analysis of complex networks in hyperspherical space |
| Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep | learning | |
| Visualization of | learning | in multilayer perceptron networks using principal component analysis |
| Visualization of Pattern Data Through | learning | of Nonlinear Variance Conserving Dimension Reduction Mapping |
| Visualization-Based Active | learning | for Video Annotation |
| Visualizing and Understanding Contrastive | learning | |
| Visualizing and Understanding Contrastive | learning | |
| Visually Interpretable Representation | learning | for Depression Recognition from Facial Images |
| Visually-Enabled Active Deep | learning | for (Geo) Text and Image Classification: A Review |
| Visually-Guided Audio Spatialization in Video with Geometry-Aware Multi-task | learning | |
| VisualSLAM: Long Term Visual Localization, Visual Odometry and Geometric and | learning | -Based SLAM |
| VisualWord2Vec (Vis-W2V): | learning | Visually Grounded Word Embeddings Using Abstract Scenes |
| VITAL: VIsual Tracking via Adversarial | learning | |
| VL-ADAPTER: Parameter-Efficient Transfer | learning | for Vision-and-Language Tasks |
| VL-LTR: | learning | Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition |
| VLCAP: Vision-Language with Contrastive | learning | for Coherent Video Paragraph Captioning |
| VLN-PETL: Parameter-Efficient Transfer | learning | for Vision-and-Language Navigation |
| VLSI Hardware for Example-Based | learning | |
| VLSI implementation of a parallel, self-organizing | learning | model, A |
| VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot | learning | |
| Vocabulary-Informed Zero-Shot and Open-Set | learning | |
| Voice Instruction | learning | System Using PL-T-SOM, A |
| Void Filling of Digital Elevation Models with a Terrain Texture | learning | Model Based on Generative Adversarial Networks |
| Volcano-Seismic Transfer | learning | and Uncertainty Quantification With Bayesian Neural Networks |
| Volume preserving image segmentation with entropy regularized optimal transport and its applications in deep | learning | |
| Volume Sweeping: | learning | Photoconsistency for Multi-View Shape Reconstruction |
| Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric | learning | |
| von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised | learning | |
| VoroMesh: | learning | Watertight Surface Meshes with Voronoi Diagrams |
| Voronoi-Based Compact Image Descriptors: Efficient Region-of-Interest Retrieval With VLAD and Deep- | learning | -Based Descriptors |
| Voting Based Video Classification Using Clustering and | learning | |
| Voting-Near-Extreme- | learning | -Machine Classification Algorithm, A |
| VOWEL: A Local Online | learning | Rule for Recurrent Networks of Probabilistic Spiking Winner- Take-All Circuits |
| Voxel-based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep | learning | Methods |
| VoxelMorph: A | learning | Framework for Deformable Medical Image Registration |
| VoxelNet: End-to-End | learning | for Point Cloud Based 3D Object Detection |
| Vpn: | learning | Video-Pose Embedding for Activities of Daily Living |
| VQ3D: | learning | a 3D-Aware Generative Model on ImageNet |
| VQA-Machine: | learning | How to Use Existing Vision Algorithms to Answer New Questions, The |
| VQACL: A Novel Visual Question Answering Continual | learning | Setting |
| VRNet: | learning | the Rectified Virtual Corresponding Points for 3D Point Cloud Registration |
| VSA: | learning | Varied-Size Window Attention in Vision Transformers |
| VSAM at the MIT Media laboratory and CBCL: | learning | and Understanding Action in Video Imagery |
| VSAM at the MIT Media Laboratory and CBCL: | learning | and Understanding Action in Video Imagery PI Report 1998 |
| VTAE: Variational Transformer Autoencoder With Manifolds | learning | |
| VX2TEXT: End-to-End | learning | of Video-Based Text Generation From Multimodal Inputs |
| WAFP-Net: Weighted Attention Fusion Based Progressive Residual | learning | for Depth Map Super-Resolution |
| WaldBoost: | learning | for Time Constrained Sequential Detection |
| Walk and Learn: Facial Attribute Representation | learning | from Egocentric Video and Contextual Data |
| Walk in the Cloud: | learning | Curves for Point Clouds Shape Analysis |
| Walking, Gait Recognition, Neural Networks, CNN, | learning | |
| Warp Consistency for Unsupervised | learning | of Dense Correspondences |
| Wasserstein Adversarial Regularization for | learning | With Label Noise |
| Wasserstein CNN: | learning | Invariant Features for NIR-VIS Face Recognition |
| Wasserstein Coupled Graph | learning | for Cross-Modal Retrieval |
| Wasserstein Dictionary | learning | : Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning |
| Wasserstein Dictionary | learning | : Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning |
| Wasserstein distance feature alignment | learning | for 2D image-based 3D model retrieval |
| Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual | learning | |
| Wasserstein Loss With Alternative Reinforcement | learning | for Severity-Aware Semantic Segmentation |
| Watch and Act: | learning | Robotic Manipulation From Visual Demonstration |
| Watch and learn: Semi-supervised | learning | of object detectors from videos |
| Watch, Read and Lookup: | learning | to Spot Signs from Multiple Supervisors |
| Watch-n-Patch: Unsupervised | learning | of Actions and Relations |
| Watching Behaviour: The Role of Context and | learning | |
| Watching You: Global-guided Reciprocal | learning | for Video-based Person Re-identification |
| Water clarity in Brazilian water assessed using Sentinel-2 and machine | learning | methods |
| Water leakage image recognition of shield tunnel via | learning | deep feature representation |
| Wave-ViT: Unifying Wavelet and Transformers for Visual Representation | learning | |
| Wavelet Attention Network for Few-shot | learning | |
| Wavelet domain dictionary | learning | -based single image superresolution |
| Wavelet feature domain adaptive noise reduction using | learning | algorithm for text-independent speaker recognition |
| Wavelet kernel | learning | |
| Wavelet Scattering Network-Based Machine | learning | for Ground Penetrating Radar Imaging: Application in Pipeline Identification |
| Wavelet subband-based steam detection by multiple kernel | learning | |
| Wavelet-based deep | learning | for skin lesion classification |
| WaveletStereo: | learning | Wavelet Coefficients of Disparity Map in Stereo Matching |
| Wavetf: A Fast 2d Wavelet Transform for Machine | learning | in Keras |
| Way to my Heart is through Contrastive | learning | : Remote Photoplethysmography from Unlabelled Video, The |
| WCP: Worst-Case Perturbations for Semi-Supervised Deep | learning | |
| We are not contortionists: Coupled adaptive | learning | for head and body orientation estimation in surveillance video |
| Weak Adaptation | learning | : Addressing Cross-domain Data Insufficiency with Weak Annotator |
| Weak Coupling of Semi-Supervised | learning | with Generative Adversarial Networks for Malware Classification, A |
| Weak Signal Enhancement for Passive Seismic Data Reconstruction Based on Deep | learning | |
| Weak Supervised | learning | Based Abnormal Behavior Detection |
| Weak to Strong Detector | learning | for Simultaneous Classification and Localization |
| Weakly Aligned Cross-Modal | learning | for Multispectral Pedestrian Detection |
| Weakly Paired Associative | learning | for Sound and Image Representations via Bimodal Associative Memory |
| Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype | learning | |
| Weakly Supervised Action | learning | with RNN Based Fine-to-Coarse Modeling |
| Weakly Supervised Action Selection | learning | in Video |
| Weakly Supervised Adaptive Triplet Loss for Deep Metric | learning | , A |
| Weakly supervised adversarial | learning | via latent space for hyperspectral target detection |
| Weakly Supervised Classification of Hyperspectral Image Based on Complementary | learning | |
| Weakly Supervised Consistency-based | learning | Method for COVID-19 Segmentation in CT Images, A |
| Weakly Supervised Contrastive | learning | |
| Weakly Supervised Deep | learning | for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores |
| Weakly Supervised Deep | learning | for Segmentation of Remote Sensing Imagery |
| Weakly Supervised Deep | learning | for Whole Slide Lung Cancer Image Analysis |
| Weakly Supervised Deep | learning | -Based Optical Coherence Tomography Angiography |
| Weakly Supervised Deep Metric | learning | for Community-Contributed Image Retrieval |
| Weakly Supervised Deep Reinforcement | learning | for Video Summarization With Semantically Meaningful Reward |
| Weakly Supervised Discriminative Feature | learning | With State Information for Person Identification |
| Weakly supervised discriminative localization and classification: A joint | learning | process |
| Weakly Supervised Distribution Discrepancy Minimization | learning | With State Information for Person Re-Identification |
| Weakly Supervised Dual | learning | for Facial Action Unit Recognition |
| Weakly Supervised Energy-Based | learning | for Action Segmentation |
| Weakly Supervised Few-Shot Segmentation via Meta- | learning | |
| Weakly Supervised Few-Shot Semantic Segmentation via Pseudo Mask Enhancement and Meta | learning | |
| Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative | learning | |
| Weakly supervised fine-grained semantic segmentation via spatial correlation-guided | learning | |
| Weakly Supervised Foreground | learning | for Weakly Supervised Localization and Detection |
| Weakly Supervised Graph Based Semantic Segmentation by | learning | Communities of Image-Parts |
| weakly supervised inpainting-based | learning | method for lung CT image segmentation, A |
| Weakly Supervised Instance Segmentation by Deep Community | learning | |
| Weakly Supervised Instance Segmentation by | learning | Annotation Consistent Instances |
| Weakly Supervised Instance Segmentation via Category-aware Centerness | learning | with Localization Supervision |
| Weakly Supervised Invariant Representation | learning | via Disentangling Known and Unknown Nuisance Factors |
| Weakly supervised label distribution | learning | based on transductive matrix completion with sample correlations |
| Weakly Supervised Large Scale Object Localization with Multiple Instance | learning | and Bag Splitting |
| Weakly Supervised | learning | Based on Coupled Convolutional Neural Networks for Aircraft Detection |
| Weakly supervised | learning | based on hypergraph manifold ranking |
| Weakly Supervised | learning | for Attribute Localization in Outdoor Scenes |
| Weakly Supervised | learning | for Joint Image Denoising and Protein Localization in Cryo-Electron Microscopy |
| Weakly Supervised | learning | for Raindrop Removal on a Single Image |
| Weakly Supervised | learning | for Single Depth-Based Hand Shape Recovery |
| Weakly Supervised | learning | for Textbook Question Answering |
| Weakly Supervised | learning | for Transmission Line Detection Using Unpaired Image-to-Image Translation |
| Weakly Supervised | learning | Framework for Salient Object Detection via Hybrid Labels, A |
| Weakly Supervised | learning | Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark |
| Weakly Supervised | learning | of a Classifier for Unusual Event Detection |
| Weakly supervised | learning | of actions from transcripts |
| Weakly Supervised | learning | of Deep Metrics for Stereo Reconstruction |
| Weakly Supervised | learning | of Deformable Part-Based Models for Object Detection via Region Proposals |
| Weakly Supervised | learning | of Dense Semantic Correspondences and Segmentation |
| Weakly Supervised | learning | of Heterogeneous Concepts in Videos |
| Weakly Supervised | learning | of Image Partitioning Using Decision Trees with Structured Split Criteria |
| Weakly Supervised | learning | of Indoor Geometry by Dual Warping |
| Weakly Supervised | learning | of Instance Segmentation With Inter-Pixel Relations |
| Weakly Supervised | learning | of Interactions between Humans and Objects |
| Weakly Supervised | learning | of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines |
| Weakly supervised | learning | of multi-object 3D scene decompositions using deep shape priors |
| Weakly Supervised | learning | of Object Segmentations from Web-Scale Video |
| Weakly Supervised | learning | of Objects, Attributes and Their Associations |
| Weakly Supervised | learning | of Part-Based Spatial Models for Visual Object Recognition |
| Weakly Supervised | learning | of Rigid 3D Scene Flow |
| Weakly supervised | learning | of semantic colour terms |
| Weakly Supervised | learning | of Semantic Correspondence through Cascaded Online Correspondence Refinement |
| Weakly Supervised | learning | of Single-Cell Feature Embeddings |
| Weakly Supervised | learning | of Visual Models and Its Application to Content-Based Retrieval |
| Weakly Supervised | learning | on Pre-image Problem in Kernel Methods |
| weakly supervised | learning | pipeline for profiled fibre inspection, A |
| Weakly Supervised | learning | technique for classifying facial expressions, A |
| Weakly Supervised | learning | through Rank-based Contextual Measures |
| Weakly supervised | learning | using proportion-based information: An application to fisheries acoustics |
| Weakly Supervised | learning | with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision |
| Weakly Supervised | learning | with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos |
| Weakly Supervised | learning | with Side Information for Noisy Labeled Images |
| Weakly Supervised Localization and | learning | with Generic Knowledge |
| Weakly Supervised Manifold | learning | for Dense Semantic Object Correspondence |
| Weakly Supervised Metric | learning | for Traffic Sign Recognition in a LIDAR-Equipped Vehicle |
| Weakly Supervised Metric | learning | towards Signer Adaptation for Sign Language Recognition |
| Weakly Supervised Multi-Graph | learning | for Robust Image Reranking |
| Weakly supervised multiscale-inception | learning | for web-scale face recognition |
| Weakly supervised object detector | learning | with model drift detection |
| Weakly Supervised Object Localization with Latent Category | learning | |
| Weakly Supervised Object Localization with Multi-Fold Multiple Instance | learning | |
| Weakly supervised pain localization using multiple instance | learning | |
| Weakly supervised pedestrian detector training by unsupervised prior | learning | and cue fusion in videos |
| Weakly Supervised Regional and Temporal | learning | for Facial Action Unit Recognition |
| Weakly Supervised Representation | learning | with Coarse Labels |
| Weakly Supervised Salient Object Detection by | learning | A Classifier-Driven Map Generator |
| Weakly Supervised Scale-Invariant | learning | of Models for Visual Recognition |
| Weakly Supervised Semantic Segmentation via Adversarial | learning | of Classifier and Reconstructor |
| Weakly Supervised Semantic Segmentation via Progressive Patch | learning | |
| Weakly supervised structured output | learning | for semantic segmentation |
| Weakly Supervised Temporal Action Detection With Temporal Dependency | learning | |
| Weakly Supervised Temporal Action Localization Using Deep Metric | learning | |
| Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal | learning | |
| Weakly Supervised Tracklet Association | learning | With Video Labels for Person Re-Identification |
| Weakly Supervised Training of a Sign Language Recognition System Using Multiple Instance | learning | Density Matrices |
| Weakly Supervised Triplet | learning | of Canonical Plane Transformation for Joint Object Recognition and Pose Estimation |
| Weakly supervised vehicle detection in satellite images via multi-instance discriminative | learning | |
| Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation | learning | |
| Weakly Supervised Video Representation | learning | with Unaligned Text for Sequential Videos |
| Weakly Supervised Visual Dictionary | learning | by Harnessing Image Attributes |
| Weakly- and Self-Supervised | learning | for Content-Aware Deep Image Retargeting |
| Weakly- and Semi-supervised Faster R-CNN with Curriculum | learning | |
| Weakly-and Semi-Supervised | learning | of a Deep Convolutional Network for Semantic Image Segmentation |
| Weakly-paired deep dictionary | learning | for cross-modal retrieval |
| Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer | learning | |
| Weakly-Supervised 3D Human Pose | learning | via Multi-View Images in the Wild |
| Weakly-supervised Action Localization with Expectation-maximization Multi-instance | learning | |
| Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces | learning | |
| Weakly-supervised Action Transition | learning | for Stochastic Human Motion Prediction |
| Weakly-Supervised Contrastive | learning | for Unsupervised Object Discovery |
| Weakly-Supervised Cross-Domain Dictionary | learning | for Visual Recognition |
| Weakly-Supervised Deep Convolutional Neural Network | learning | for Facial Action Unit Intensity Estimation |
| Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive | learning | |
| Weakly-supervised Instance Segmentation via Class-agnostic | learning | with Salient Images |
| Weakly-Supervised | learning | for Attention-Guided Skull Fracture Classification In Computed Tomography Imaging |
| Weakly-Supervised | learning | for Fine-Grained Emotion Recognition Using Physiological Signals |
| Weakly-supervised | learning | of Human Dynamics |
| Weakly-Supervised | learning | of Visual Relations |
| Weakly-Supervised | learning | With Complementary Heatmap for Retinal Disease Detection |
| Weakly-supervised Metric | learning | with Cross-Module Communications for the Classification of Anterior Chamber Angle Images |
| Weakly-Supervised Object Representation | learning | for Few-Shot Semantic Segmentation |
| Weakly-Supervised Semantic Segmentation by Iterative Affinity | learning | |
| Weakly-Supervised Semantic Segmentation by | learning | Label Uncertainty |
| Weakly-Supervised Semantic Segmentation with Visual Words | learning | and Hybrid Pooling |
| Weakly-supervised sensor-based activity segmentation and recognition via | learning | from distributions |
| Weakly-Supervised Structured Output | learning | with Flexible and Latent Graphs Using High-Order Loss Functions |
| Weakly-Supervised Text-driven Contrastive | learning | for Facial Behavior Understanding |
| Weakly-Supervised Vessel Detection in Ultra-Widefield Fundus Photography via Iterative Multi-Modal Registration and | learning | |
| Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude | learning | |
| Weakly-Supervised Video Object Grounding via | learning | Uni-Modal Associations |
| Weapon Detection for Particular Scenarios Using Deep | learning | |
| WeatherNet: Recognising Weather and Visual Conditions from Street-Level Images Using Deep Residual | learning | |
| Web Objectionable Video Recognition Based on Deep Multi-Instance | learning | With Representative Prototypes Selection |
| Web-based | learning | Environment of Remote Sensing Experimental Class With Python, A |
| Web-Based | learning | of Naturalized Color Models for Human-Machine Interaction |
| WebGIS and Geospatial Technologies for Landscape Education on Personalized | learning | Contexts |
| WebGIS Framework for Semi-automated Geodatabase Updating Assisted By Deep | learning | , A |
| WebLogo-2M: Scalable Logo Detection by Deep | learning | from the Web |
| Webly Supervised | learning | Meets Zero-shot Learning: A Hybrid Approach for Fine-Grained Classification |
| Webly Supervised | learning | Meets Zero-shot Learning: A Hybrid Approach for Fine-Grained Classification |
| Webly Supervised | learning | of Convolutional Networks |
| Webly Supervised Semantic Embeddings for Large Scale Zero-shot | learning | |
| Webly-supervised | learning | for salient object detection |
| Webly-supervised semantic segmentation via curriculum | learning | |
| Webly-supervised zero-shot | learning | for artwork instance recognition |
| Weeds Classification with Deep | learning | : An Investigation Using Cnn, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy |
| Weeping and Gnashing of Teeth: Teaching Deep | learning | in Image and Video Processing Classes |
| Weibull Multiplicative Model and Machine | learning | Models for Full-Automatic Dark-Spot Detection from SAR Images |
| Weighing Counts: Sequential Crowd Counting by Reinforcement | learning | |
| Weight Decay Scheduling and Knowledge Distillation for Active | learning | |
| Weight matrix sharing for multi-label | learning | |
| Weighted and robust incremental method for subspace | learning | |
| Weighted and robust | learning | of subspace representations |
| Weighted constraint based dictionary | learning | for image classification |
| Weighted Correlation Embedding | learning | for Domain Adaptation |
| Weighted Dictionary | learning | Model for Denoising Images Corrupted by Mixed Noise, A |
| Weighted Graph Embedding-Based Metric | learning | for Kinship Verification |
| Weighted kappa loss function for multi-class classification of ordinal data in deep | learning | |
| Weighted multi-view common subspace | learning | method |
| weighted MVDR beamformer based on SVM | learning | for sound source localization, A |
| Weighted Part Context | learning | for Visual Tracking |
| Weighted Patch-based Manifold Regularization Dictionary Pair | learning | model for facial expression recognition using Iterative Optimization Classification Strategy |
| Weighted similarity and distance metric | learning | for unconstrained face verification with 3D frontalisation |
| Weighted Supervised Contrastive | learning | and Domain Mixture for Generalized Person Re-Identification |
| Weighted- | learning | -instance-based retrieval model using instance distance |
| Weighting-Based Deep Ensemble | learning | for Recognition of Interventionalists' Hand Motions During Robot-Assisted Intravascular Catheterization |
| WELDON: Weakly Supervised | learning | of Deep Convolutional Neural Networks |
| Well-Log and Seismic Data Integration for Reservoir Characterization: A Signal Processing and Machine- | learning | Perspective |
| WeLSA: | learning | to Predict 6D Pose from Weakly Labeled Data Using Shape Alignment |
| Wet and Dry Snow Detection Using Sentinel-1 SAR Data for Mountainous Areas with a Machine | learning | Technique |
| What and How Well You Performed? A Multitask | learning | Approach to Action Quality Assessment |
| What Determinants Will Enhance or Constrain the Spatiality of Agricultural Products with Geographical Indications in Northeast China? An Interpretable | learning | Approach |
| What Do I Annotate Next? An Empirical Study of Active | learning | for Action Localization |
| What Else Can Fool Deep | learning | ? Addressing Color Constancy Errors on Deep Neural Network Performance |
| What Happens If... | learning | to Predict the Effect of Forces in Images |
| What is a Tabby? Interpretable Model Decisions by | learning | Attribute-Based Classification Criteria |
| What is and What is Not a Salient Object? | learning | Salient Object Detector by Ensembling Linear Exemplar Regressors |
| What is distance and why do we need the metric model for pattern | learning | ? |
| What is Happening Inside a Continual | learning | Model?: A Representation-Based Evaluation of Representational Forgetting |
| What Is the Challenge for Deep | learning | in Unconstrained Face Recognition? |
| What Makes a Good Detector?: Structured Priors for | learning | from Few Examples |
| What Makes Good Synthetic Training Data for | learning | Disparity and Optical Flow Estimation? |
| What Makes Objects Similar: A Unified Multi-Metric | learning | Approach |
| What Makes Transfer | learning | Work for Medical Images: Feature Reuse & Other Factors |
| What Matters For Meta- | learning | Vision Regression Tasks? |
| What Should Be Equivariant In Self-Supervised | learning | |
| What the Appearance Channel from Two-stream Architectures for Activity Recognition Is | learning | ? |
| What to Transfer? High-Level Semantics in Transfer Metric | learning | for Action Similarity |
| WHAT2PRINT: | learning | Image Evaluation |
| Wheat Lodging Detection from UAS Imagery Using Machine | learning | Algorithms |
| Wheel Defect Detection With Machine | learning | |
| When Active | learning | Meets Implicit Semantic Data Augmentation |
| When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task | learning | Framework |
| When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task | learning | Framework and a New Benchmark |
| When CNN Meet with VIT: Towards Semi-supervised | learning | for Multi-class Medical Image Semantic Segmentation |
| When Deep Classifiers Agree: Analyzing Correlations Between | learning | Order and Image Statistics |
| When Deep Learners Change Their Mind: | learning | Dynamics for Active Learning |
| When Deep Learners Change Their Mind: | learning | Dynamics for Active Learning |
| When Deep | learning | Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs |
| When Deep | learning | Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs |
| When Deep | learning | Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs |
| When Deep | learning | Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation |
| When Deep | learning | Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation |
| When Do Curricula Work in Federated | learning | ? |
| When Does Contrastive Visual Representation | learning | Work? |
| When Does Self-supervision Improve Few-shot | learning | ? |
| When Face Recognition Meets with Deep | learning | : An Evaluation of Convolutional Neural Networks for Face Recognition |
| When Few-Shot | learning | Meets Video Object Detection |
| When Kernel Methods Meet Feature | learning | : Log-Covariance Network for Action Recognition From Skeletal Data |
| When Machine | learning | is Facially Invalid |
| When Prompt-based Incremental | learning | Does Not Meet Strong Pretraining |
| When Self-Supervised | learning | Meets Scene Classification: Remote Sensing Scene Classification Based on a Multitask Learning Framework |
| When Self-Supervised | learning | Meets Scene Classification: Remote Sensing Scene Classification Based on a Multitask Learning Framework |
| When Traditional Selection Fails: How to Improve Settlement Selection for Small-Scale Maps Using Machine | learning | |
| Which Expert Knows Best? Modulating Soft | learning | with Online Batch Confidence for Domain Adaptive Person Re-identification |
| Which Faces to Tag: Adding Prior Constraints into Active | learning | |
| Which Way Are You Going? Imitative Decision | learning | for Path Forecasting in Dynamic Scenes |
| Who are My Family Members? A Solution Based on Image Processing and Machine | learning | |
| Who are you? - | learning | person specific classifiers from video |
| Whole Brain Myelin Water Mapping in One Minute Using Tensor Dictionary | learning | With Low-Rank Plus Sparse Regularization |
| Why Does a Hilbertian Metric Work Efficiently in Online | learning | With Kernels? |
| Wide context | learning | network for stereo matching |
| Wide-Baseline Relative Camera Pose Estimation with Directional | learning | |
| Width-Wise Parameter Sharing for Multi-Domain GAN | learning | |
| Wild animal survey using UAS imagery and deep | learning | : modified Faster R-CNN for kiang detection in Tibetan Plateau |
| Wild Patterns: Ten Years After the Rise of Adversarial Machine | learning | |
| WILDCAT: Weakly Supervised | learning | of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation |
| Wildfire Risk Assessment in Liangshan Prefecture, China Based on An Integration Machine | learning | Algorithm |
| Wildland Fire Tree Mortality Mapping from Hyperspatial Imagery Using Machine | learning | |
| WildNet: | learning | Domain Generalized Semantic Segmentation from the Wild |
| Will It Last? | learning | Stable Features for Long-Term Visual Localization |
| Will People Like Your Image? | learning | the Aesthetic Space |
| Window-based Model Averaging Improves Generalization in Heterogeneous Federated | learning | |
| Winter Wheat Lodging Area Extraction Using Deep | learning | with GaoFen-2 Satellite Imagery |
| Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep | learning | Approaches |
| Wire Structure Image-based 3d Reconstruction Aided By Deep | learning | |
| Wireless capsule endoscopy video summarization: A | learning | approach based on Siamese neural network and support vector machine |
| Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep- | learning | -Based Polyp Recognition |
| Wireless Fingerprint Positioning Method Based on Wavelet Transform and Deep | learning | , A |
| Wireless Tomography in Noisy Environments Using Machine | learning | |
| Wireless Video Surveillance System Based on Incremental | learning | Face Detection |
| Wise optimisation: deep image embedding by informative pair weighting and ranked list | learning | |
| WISE: Whitebox Image Stylization by Example-Based | learning | |
| With a Little Help from My Friends: Nearest-Neighbor Contrastive | learning | of Visual Representations |
| Withdrawn: Fast compressive tracking with robust example selection based on multiple instance | learning | in smart and autonomous systems |
| Withdrawn: Through wall human detection under small samples based on deep | learning | algorithm |
| Witness identification in multiple instance | learning | using random subspaces |
| WLAN Fingerprint Indoor Positioning Strategy Based on Implicit Crowdsourcing and Semi-Supervised | learning | |
| Wooden Knot Detection Using ConvNet Transfer | learning | |
| Woody Aboveground Biomass Mapping of the Brazilian Savanna with a Multi-Sensor and Machine | learning | Approach |
| Word Segmentation Method for Handwritten Documents based on Structured | learning | |
| Workflow Based Process Visual Analyzer (ProVisZer) for Teaching and | learning | , A |
| Workie-Talkie: Accelerating Federated | learning | by Overlapping Computing and Communications via Contrastive Regularization |
| Workshop of Adversarial Machine | learning | on Computer Vision: Art of Robustness |
| Workshop on Interactive and Adaptive | learning | in an Open World |
| Workshop on Non-rigid Registration and Tracking through | learning | |
| Workshop on Scene Graphs and Graph Representation | learning | |
| Worst-Case Discriminative Feature | learning | via Max-Min Ratio Analysis |
| WPE: Weighted prototype estimation for few-shot | learning | |
| Wrapper feature selection method based differential evolution and extreme | learning | machine for intrusion detection system |
| Write a Classifier: Zero-Shot | learning | Using Purely Textual Descriptions |
| WSDS-GAN: A weak-strong dual supervised | learning | method for underwater image enhancement |
| WSOD2: | learning | Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection |
| WTS: A Weakly towards Strongly Supervised | learning | Framework for Remote Sensing Land Cover Classification Using Segmentation Models |
| WVDNet: Time-Frequency Analysis via Semi-Supervised | learning | |
| Wyner-ZIV coding of multiview images with unsupervised | learning | of disparity and Gray code |
| Wyner-Ziv coding of video with unsupervised motion vector | learning | |
| X-Invariant Contrastive Augmentation and Representation | learning | for Semi-Supervised Skeleton-Based Action Recognition |
| X-Learner: | learning | Cross Sources and Tasks for Universal Visual Representation |
| X-Ray fluorescence image super-resolution using dictionary | learning | |
| X-ray image separation via coupled dictionary | learning | |
| X-Ray Scattering Image Classification Using Deep | learning | |
| X-Ray Spectral Estimation Using Dictionary | learning | |
| Xception: Deep | learning | with Depthwise Separable Convolutions |
| XDNet: A Few-Shot Meta- | learning | Approach for Cross-Domain Visual Inspection |
| XQM: Interactive | learning | on Mobile Phones |
| xUnit: | learning | a Spatial Activation Function for Efficient Image Restoration |
| Yoco: Light-Weight Rate Control Model | learning | |
| YOGA: Deep object detection in the wild with lightweight feature | learning | and multiscale attention |
| YOLOFig detection model development using deep | learning | |
| YOLOPX: Anchor-free multi-task | learning | network for panoptic driving perception |
| YOLOv8 Based Deep | learning | Method for Potholes Detection |
| You always look again: | learning | to detect the unseen objects |
| You Lead, We Exceed: Labor-Free Video Concept | learning | by Jointly Exploiting Web Videos and Images |
| You Never Get a Second Chance To Make a Good First Impression: Seeding Active | learning | for 3D Semantic Segmentation |
| You Only Need 80k Parameters to Enhance Image: | learning | Periodic Features for Image Enhancement |
| You Only Train Once: | learning | General and Distinctive 3D Local Descriptors |
| YouTubeCat: | learning | to categorize wild web videos |
| Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary | learning | |
| Z-Score Normalization, Hubness, and Few-Shot | learning | |
| Zero and Few Shot | learning | With Semantic Feature Synthesis and Competitive Learning |
| Zero and Few Shot | learning | With Semantic Feature Synthesis and Competitive Learning |
| Zero Experience Required: Plug & Play Modular Transfer | learning | for Semantic Visual Navigation |
| Zero shot augmentation | learning | in internet of biometric things for health signal processing |
| Zero shot | learning | based on class visual prototypes and semantic consistency |
| Zero shot | learning | by partial transfer from source domain with L2,1 norm constraint |
| Zero Shot | learning | via Multi-scale Manifold Regularization |
| Zero-Shot and Few-Shot | learning | With Knowledge Graphs: A Comprehensive Survey |
| Zero-Shot Classification with Discriminative Semantic Representation | learning | |
| Zero-Shot Cross-Media Embedding | learning | With Dual Adversarial Distribution Network |
| Zero-Shot Deep Domain Adaptation With Common Representation | learning | |
| Zero-Shot Generative Model Adaptation via Image-Specific Prompt | learning | |
| Zero-shot Image Super-resolution with Depth Guided Internal Degradation | learning | |
| Zero-Shot Kernel | learning | |
| Zero-Shot | learning | |
| Zero-Shot | learning | and Detection of Teeth in Images of Bat Skulls |
| Zero-Shot | learning | Based on Quality-Verifying Adversarial Network |
| zero-shot | learning | boosting framework via concept-constrained clustering, A |
| Zero-shot | learning | by exploiting class-related and attribute-related prior knowledge |
| Zero-Shot | learning | for Reflection Removal of Single 360-Degree Image |
| zero-shot | learning | framework via cluster-prototype matching, A |
| Zero-Shot | learning | in the Presence of Hierarchically Coarsened Labels |
| Zero-shot | learning | of 3D Point Cloud Objects |
| Zero-Shot | learning | of A Conditional Generative Adversarial Network for Data-Free Network Quantization |
| Zero-Shot | learning | on 3D Point Cloud Objects and Beyond |
| Zero-Shot | learning | on Semantic Class Prototype Graph |
| Zero-Shot | learning | Posed as a Missing Data Problem |
| Zero-Shot | learning | to Index on Semantic Trees for Scalable Image Retrieval |
| Zero-shot | learning | Using Multimodal Descriptions |
| Zero-Shot | learning | Using Stacked Autoencoder with Manifold Regularizations |
| Zero-Shot | learning | Using Synthesised Unseen Visual Data with Diffusion Regularisation |
| Zero-shot | learning | via a specific rank-controlled semantic autoencoder |
| Zero-Shot | learning | via Attribute Regression and Class Prototype Rectification |
| Zero-Shot | learning | via Category-Specific Visual-Semantic Mapping and Label Refinement |
| Zero-Shot | learning | via Contrastive Learning on Dual Knowledge Graphs |
| Zero-Shot | learning | via Contrastive Learning on Dual Knowledge Graphs |
| Zero-shot | learning | via discriminative representation extraction |
| Zero-Shot | learning | via Joint Latent Similarity Embedding |
| Zero-Shot | learning | via Latent Space Encoding |
| Zero-Shot | learning | via Low-Rank-Representation Based Manifold Regularization |
| Zero-Shot | learning | Via Recurrent Knowledge Transfer |
| Zero-Shot | learning | via Robust Latent Representation and Manifold Regularization |
| Zero-Shot | learning | via Semantic Similarity Embedding |
| Zero-Shot | learning | via Visual Abstraction |
| Zero-Shot | learning | With Transferred Samples |
| Zero-Shot | learning | : A Comprehensive Evaluation of the Good, the Bad and the Ugly |
| Zero-Shot | learning | : The Good, the Bad and the Ugly |
| Zero-shot multi-label | learning | via label factorisation |
| Zero-Shot Object Detection: | learning | to Simultaneously Recognize and Localize Novel Concepts |
| Zero-Shot Super-Resolution Using Deep Internal | learning | |
| Zero-Shot, One-Shot, Few-Shot | learning | for Human Action Recognition |
| Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot | learning | |
| ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot | learning | |
| ZF-SSE: A Unified Sequential Semantic Encoder for Zero-Few-Shot | learning | |
| Zigzag | learning | for Weakly Supervised Object Detection |
| ZigzagNet: Efficient Deep | learning | for Real Object Recognition Based on 3D Models |
| Zone2Vec: Distributed Representation | learning | of Urban Zones |
| Zoning Earthquake Casualty Prediction Model Based on Machine | learning | , A |
| zPROBE: Zero Peek Robustness Checks for Federated | learning | |
| Zwei: A Self-Play Reinforcement | learning | Framework for Video Transmission Services |
25386 for learning