_ | training | _ |
1D-HMM for face verification: model optimization using improved algorithm and intelligent selection of | training | images |
2-D latent space models: Layer-wise perceptual | training | and spatial grounding |
2D Cartography | training | : Has the Time Come for a Paradigm Shift? |
2PCNet: Two-Phase Consistency | training | for Day-to-Night Unsupervised Domain Adaptive Object Detection |
3-D Active Contour Segmentation Based on Sparse Linear Combination of | training | Shapes (SCoTS) |
3-D hand posture recognition by | training | contour variation |
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised | training | |
3D Object Detection from a Single Fisheye Image Without a Single Fisheye | training | Image |
3D Semantic Scene Completion from a Single Depth Image Using Adversarial | training | |
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co- | training | |
3D-aware Facial Landmark Detection via Multi-view Consistent | training | on Synthetic Data |
4 DOF Exoskeleton Robotic Arm System for Rehabilitation and | training | |
A+D Net: | training | a Shadow Detector with Adversarial Shadow Attenuation |
Abnormal Ratios Guided Multi-Phase Self- | training | for Weakly-Supervised Video Anomaly Detection |
AC2AS: Activation Consistency Coupled ANN-SNN framework for fast and memory-efficient SNN | training | |
Accelerated | training | of Linear Object Detectors |
Accelerating CNN | training | by Pruning Activation Gradients |
Accelerating convolutional neural network | training | using ProMoD backpropagation algorithm |
Accelerating DNN | training | with Structured Data Gradient Pruning |
Accelerating Framework for Simultaneous Optimization of Model Architectures and | training | Hyperparameters |
Accelerating Self-Supervised Learning via Efficient | training | Strategies |
Accelerating the creation of instance segmentation | training | sets through bounding box annotation |
Acceptability and Trustworthiness of Virtual Agents by Effects of Theory of Mind and Social Skills | training | |
Accounting for | training | Data Error in Machine Learning Applied to Earth Observations |
Accurate depth image generation via overfit | training | of point cloud registration using local frame sets |
Achievement-based | training | Progress Balancing for Multi-Task Learning |
Achieving Generalizable Robustness of Deep Neural Networks by Stability | training | |
Acoustic HMMs to Detect Abnormal Respiration with Limited | training | Data |
ACTIS: Improving data efficiency by leveraging semi-supervised Augmentation Consistency | training | for Instance Segmentation |
Activation Density Driven Efficient Pruning in | training | |
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-Based Optimized | training | Library Generation for Object-Oriented Image Classification |
Active Shape Models: Their | training | and Application |
ActMAD: Activation Matching to Align Distributions for Test-Time- | training | |
AdaFocus V2: End-to-End | training | of Spatial Dynamic Networks for Video Recognition |
Adapting Deep Neural Networks for Pedestrian-Detection to Low-Light Conditions without Re- | training | |
adaptive classifier design for high-dimensional data analysis with a limited | training | data set, An |
Adaptive composite filters for pattern recognition in nonoverlapping scenes using noisy | training | images |
Adaptive Decontamination of the | training | Set: A Unified Formulation for Discriminative Visual Tracking |
Adaptive Detection Using Whitened Data When Some of the | training | Samples Undergo Covariance Mismatch |
Adaptive Edge Enhancement in SAR Images: | training | on the Data Vs. Training on Simulated Data |
Adaptive Edge Enhancement in SAR Images: | training | on the Data Vs. Training on Simulated Data |
adaptive error penalization method for | training | an efficient and generalized SVM, An |
Adaptive Force Guidance System for Computer-Guided Laparoscopy | training | , An |
Adaptive fusion and co-operative | training | for classifier ensembles |
Adaptive Ho-Kashyap Rules for Perceptron | training | |
Adaptive Noise Injection for | training | Stochastic Student Networks from Deterministic Teachers |
Adaptive pattern spectrum image description using Euclidean and Geodesic distance without | training | for texture classification |
Adaptive Search-and- | training | for Robust and Efficient Network Pruning |
Adaptive Self- | training | for Object Detection |
Adaptive skin color modeling using the skin locus for selecting | training | pixels |
Adaptive Step-Edge Model for Self-Consistent | training | of Neural-Network for Probabilistic Edge Labeling |
Adaptive | training | for Robust Spoken Language Understanding |
Adaptive | training | of a kernel-based nonlinear discriminator |
Adaptive Video-to-Video Face Identification System Based on Self- | training | , An |
Adaptive Weighted Discriminator for | training | Generative Adversarial Networks |
AdaptiveMix: Improving GAN | training | via Feature Space Shrinkage |
Addressing the Overfitting in Partial Domain Adaptation With Self- | training | and Contrastive Learning |
Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial | training | |
Adversarial and focused | training | of abnormal videos for weakly-supervised anomaly detection |
Adversarial Coreset Selection for Efficient Robust | training | |
Adversarial Meta- | training | Framework for Cross-Domain Few-Shot Learning, An |
Adversarial momentum-contrastive pre- | training | |
Adversarial Robustness: From Self-Supervised Pre- | training | to Fine-Tuning |
Adversarial | training | Based Speech Emotion Classifier With Isolated Gaussian Regularization, An |
Adversarial | training | for Aspect-Based Sentiment Analysis with BERT |
Adversarial | training | for Sketch Retrieval |
Adversarial | training | for Solving Inverse Problems in Image Processing |
Adversarial | training | for Video Disentangled Representation |
Adversarial | training | Lattice LSTM for Named Entity Recognition of Rail Fault Texts |
Adversarial | training | of Anti-Distilled Neural Network with Semantic Regulation of Class Confidence |
Adversarial | training | of LSTM-ED based anomaly detection for complex time-series in cyber-physical-social systems |
Adversarial | training | of Variational Auto-Encoders for High Fidelity Image Generation |
Adversarial | training | with Bi-Directional Likelihood Regularization for Visual Classification |
Adversarial | training | with Channel Attention Regularization |
Adversarial | training | with distribution normalization and margin balance |
Adversarial | training | With Stochastic Weight Average |
Adversarial | training | -Based Hard Example Mining for Pedestrian Detection in Fish-Eye Images |
Adversarially Robust Multi-Sensor Fusion Model | training | Via Random Feature Fusion for Semantic Segmentation |
Adversarially | training | for Audio Classifiers |
AE-OT-GAN: | training | GANs from Data Specific Latent Distribution |
AE-StyleGAN: Improved | training | of Style-Based Auto-Encoders |
AFI-GAN: Improving feature interpolation of feature pyramid networks via adversarial | training | for object detection |
African Geospatial Sciences Institute (AGSI): A New Approach To Geospatial | training | In North Africa, The |
AGAIN: Adversarial | training | with Attribution Span Enlargement and Hybrid Feature Fusion |
Aggregated pyramid gating network for human pose estimation without pre- | training | |
AIFit: Automatic 3D Human-Interpretable Feedback Models for Fitness | training | |
Air Pollution Monitoring System with Prediction Abilities Based on Smart Autonomous Sensors Equipped with ANNs with Novel | training | Scheme |
algorithm for | training | a large scale support vector machine for regression based on linear programming and decomposition methods, An |
algorithm of spectral reflectance function reconstruction without sample | training | can integrate prior information, An |
Align and Prompt: Video-and-Language Pre- | training | with Entity Prompts |
AlignDet: Aligning Pre- | training | and Fine-tuning in Object Detection |
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware | training | |
ALIP: Adaptive Language-Image Pre- | training | with Synthetic Caption |
All in One: Exploring Unified Video-Language Pre- | training | |
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co- | training | |
All You Need is Beyond a Good Init: Exploring Better Solution for | training | Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation |
Alleviating Modality Bias | training | for Infrared-Visible Person Re-Identification |
Almost autonomous | training | of mixtures of principal component analyzers |
Alternating Genetic Algorithm for Selecting SVM Model and | training | Set, An |
Analysis and Extensions of Adversarial | training | for Video Classification |
Analysis and Impact of | training | Set Size in Cross-subject Human Activity Recognition |
Analysis of Classifier | training | on Synthetic Data for Cross-Domain Datasets |
Analysis of Co- | training | Algorithm with Very Small Training Sets |
Analysis of Co- | training | Algorithm with Very Small Training Sets |
Analysis of Driving Patterns and On-Board Feedback-Based | training | for Proactive Road Safety Monitoring |
Analysis of new techniques to obtain quality | training | sets |
Analysis of Nonorthogonal | training | in Massive MIMO Under Channel Aging With SIC Receivers |
Analysis of serious games based on pedagogical features and proposal of civil defence | training | game |
Analysis of | training | parameters for classifiers based on Haar-like features to detect human faces |
analytical handwritten word recognition system with word-level discriminant | training | , An |
Analyzing | training | Information From Random Forests for Improved Image Segmentation |
Annotation Saved is an Annotation Earned: Using Fully Synthetic | training | for Object Detection, An |
antagonistic | training | algorithm for TFT-LCD module mura defect detection, An |
Anti-Forensics for Face Swapping Videos via Adversarial | training | |
Any-Resolution | training | for High-Resolution Image Synthesis |
Appearance-invariant place recognition by discriminatively | training | a convolutional neural network |
Application of augmented reality to industrial tele- | training | |
Application of LVQ to novelty detection using outlier | training | data |
Application of Virtual Environments for Infantry Soldier Skills | training | : We are Doing it Wrong |
Applying | training | hidden features to joint curve evolution for brain MRI segmentation |
Approach for Multi-Pose Face Detection Exploring Invariance by | training | , An |
Approach to Overcome Occlusions in Visual Tracking: By Occlusion Estimating Agency and Self-Adapting Learning Rate for Filter's | training | , An |
Approximate Fisher Information Matrix to Characterize the | training | of Deep Neural Networks |
Arctic Vegetation Mapping Using Unsupervised | training | Datasets and Convolutional Neural Networks |
Are Straight-Through gradients and Soft-Thresholding all you need for Sparse | training | ? |
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in | training | Data |
Artificial Intelligence of Things in Sports Science: Weight | training | as an Example |
Assembly | training | : Comparing the Effects of Head-Mounted Displays and Face-to-Face Training |
Assembly | training | : Comparing the Effects of Head-Mounted Displays and Face-to-Face Training |
Assessing Lidar | training | Data Quantities for Classification Models |
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 |
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 |
Associative Deep Clustering: | training | a Classification Network with No Labels |
Asymmetric | training | in RealnessGAN |
Asymptotic error rates of the W and Z statistics when the | training | observations are dependent |
ATF: An Alternating | training | Framework for Weakly Supervised Face Alignment |
Attention-Based Residual Network with Scattering Transform Features for Hyperspectral Unmixing with Limited | training | Samples |
Attribute-Based Transfer Learning for Object Categorization with Zero/One | training | Example |
Attributional Robustness | training | Using Input-gradient Spatial Alignment |
Audio-Visual Co- | training | for Vehicle Classification |
Aug-NeRF: | training | Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations |
Augmentation Invariant | training | |
Augmentation of Small | training | Data Using GANs for Enhancing the Performance of Image Classification |
Augmented Adversarial | training | for Cross-Modal Retrieval |
Augmented Reality (AR) Assisted Laryngoscopy for Endotracheal Intubation | training | |
Augmented Reality Maintenance | training | with Intel Depth Camera |
Augmented Reality System for | training | and Assistance in the Management of Industrial Equipment and Instruments |
Augmented Reality/Internet of Things Prototype for Just-in-time Astronaut | training | , An |
Augmenting | training | Samples with a Large Number of Rough Segmentation Datasets |
AutoDiffusion: | training | -Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration |
Autoencoder Neural Network-Based STAP Algorithm for Airborne Radar with Inadequate | training | Samples |
AutoFlow: Learning a Better | training | Set for Optical Flow |
Automated and Objective Assessment of Surgical | training | : Detection of Procedural Steps on Videotaped Performances |
Automated Built-Up Infrastructure Land Cover Extraction Using Index Ensembles with Machine Learning, Automated | training | Data, and Red Band Texture Layers |
Automated in-season mapping of winter wheat in China with | training | data generation and model transfer |
Automated labeling of | training | data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks |
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 | training | Data Generation from Spectral Indexes for Mapping Surface Water Extent with Sentinel-2 Satellite Imagery at 10 m and 20 m Resolutions |
Automated | training | sample definition for seasonal burned area mapping |
Automated | training | Sample Extraction for Global Land Cover Mapping |
Automatic Adaptation of Object Detectors to New Domains Using Self- | training | |
Automatic and optimal segmentation of the left ventricle in cardiac magnetic resonance images independent of the | training | sets |
Automatic cascade | training | with perturbation bias |
Automatic Extraction and Filtering of OpenStreetMap Data to Generate | training | Datasets for Land Use Land Cover Classification |
Automatic Generation of Photorealistic | training | Data for Detection of Industrial Components |
Automatic Labelling and Selection of | training | Samples for High-Resolution Remote Sensing Image Classification over Urban Areas |
Automatic Lipreading System for Spoken Digits With Limited | training | Data, An |
Automatic Lipreading with Limited | training | Data |
Automatic Refinement of | training | Data for Classification of Satellite Imagery |
Automatic Selection of | training | Samples for Multitemporal Image Classification |
Automatic Shadow Detection in Urban Very-High-Resolution Images Using Existing 3D Models for Free | training | |
Automatic | training | Image Acquisition and Effective Feature Selection From Community-Contributed Photos for Facial Attribute Detection |
Automatic | training | of Page Segmentation Algorithms: An Optimization Approach |
Automatic | training | Sample Selection for a Multi-Evidence Based Crop Classification Approach |
Automatic | training | Site Selection of Agricultural Crop Classification: A Case Study on Karacabey Plain, Turkey |
Automatically Generated | training | Data for Land Cover Classification With CNNs Using Sentinel-2 Images |
Automation of Hyperspectral | training | Library Construction: A Case Study for Wheat and Potato Crops, The |
Autonomous Curiosity for Real-Time | training | Onboard Robotic Agents |
Autonomous in situ | training | of classification modules in real-time vision systems and its application to pedestrian recognition |
Autonomous Intelligent Agents for Team | training | |
AutoSynth: Learning to Generate 3D | training | Data for Object Point Cloud Registration |
Auxiliary | training | : Towards Accurate and Robust Models |
Background Clustering Pre- | training | for Few-Shot Segmentation |
Background-Agnostic Framework With Adversarial | training | for Abnormal Event Detection in Video, A |
Backprojection for | training | Feedforward Neural Networks in the Input and Feature Spaces |
Bag of Tricks for | training | Deeper Graph Neural Networks: A Comprehensive Benchmark Study |
Balanced Vs Imbalanced | training | Data: Classifying Rapideye Data With Support Vector Machines |
Batch-Incremental Triplet Sampling for | training | Triplet Networks Using Bayesian Updating Theorem |
Batching Soft IoU for | training | Semantic Segmentation Networks |
Bayesian regression selecting valuable subset from mixed bag | training | data |
Bayesian | training | of neural networks using genetic programming |
Being Comes from Not-Being: Open-Vocabulary Text-to-Motion Generation with Wordless | training | |
Benchmark Revision for HOG-SVM Pedestrian Detector Through Reinvigorated | training | and Evaluation Methodologies |
BEV@DC: Bird's-Eye View Assisted | training | for Depth Completion |
Beyond Single Reference for | training | : Underwater Image Enhancement via Comparative Learning |
bi-level formulation for multiple kernel learning via self-paced | training | , A |
Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models | training | |
Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced | training | Algorithm |
Bias in Cross-Entropy-Based | training | of Deep Survival Networks |
Bidirectional Maximum Entropy | training | With Word Co-Occurrence for Video Captioning |
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre- | training | |
Bilateral Adversarial | training | : Towards Fast Training of More Robust Models Against Adversarial Attacks |
Bilateral Adversarial | training | : Towards Fast Training of More Robust Models Against Adversarial Attacks |
Bilevel | training | Schemes in Imaging for Total Variation: Type Functionals with Convex Integrands |
Binary Tree Feature Selection Technique for Limited | training | Set Size, A |
BinaryRelax: A Relaxation Approach for | training | Deep Neural Networks with Quantized Weights |
Bio-inspired Aging Model Particle Swarm Optimization Neural Network | training | for Solar Radiation Forecasting |
Biometric evidence evaluation: An empirical assessment of the effect of different | training | data |
Biometric score fusion through discriminative | training | |
Birnat: Bidirectional Recurrent Neural Networks with Adversarial | training | for Video Snapshot Compressive Imaging |
Bit-shrinking: Limiting Instantaneous Sharpness for Improving Post- | training | Quantization |
Biternion Nets: Continuous Head Pose Regression from Discrete | training | Labels |
Bitrate-Performance Optimized Model | training | for the Neural Network Coding (NNC) Standard |
Bitwidth-Adaptive Quantization-Aware Neural Network | training | : A Meta-Learning Approach |
Blind Image Quality Assessment for Authentic Distortions by Intermediary Enhancement and Iterative | training | |
Blind Image Quality Assessment Without Human | training | Using Latent Quality Factors |
Blindly Assess Quality of In-the-Wild Videos via Quality-Aware Pre- | training | and Motion Perception |
BNN - BN = ?: | training | Binary Neural Networks without Batch Normalization |
Bokeh-Loss GAN: Multi-stage Adversarial | training | for Realistic Edge-aware Bokeh |
Bone suppression in chest radiographs by means of anatomically specific multiple massive- | training | ANNs |
Boosted Co- | training | Algorithm for Human Action Recognition, A |
Boosting Fast Adversarial | training | With Learnable Adversarial Initialization |
Boosting LiDAR-Based Semantic Labeling by Cross-modal | training | Data Generation |
Boosting Low-Data Instance Segmentation by Unsupervised Pre- | training | with Saliency Prompt |
Boosting SAR Aircraft Detection Performance with Multi-Stage Domain Adaptation | training | |
Boosting Verified | training | for Robust Image Classifications via Abstraction |
Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre- | training | |
Both Minimum MSE and Maximum SNR Channel | training | Designs for MIMO AF Multi-Relay Networks with Spatially Correlated Fading |
Boundary bagging to address | training | data issues in ensemble classification |
Boundary Based Supervised Classification of Hyperspectral Images with Limited | training | Samples |
Boundary Flow: A Siamese Network that Predicts Boundary Motion Without | training | on Motion |
Boundary Optimised Samples | training | for Detecting Out-of-Distribution Images |
Boundary-enhanced Co- | training | for Weakly Supervised Semantic Segmentation |
Boundary-sensitive Pre- | training | for Temporal Localization in Videos |
Boundarymix: Generating pseudo- | training | images for improving segmentation with scribble annotations |
BoxDiff: Text-to-Image Synthesis with | training | -Free Box-Constrained Diffusion |
Brain Tissue Classification with Automated Generation of | training | Data Improved by Deformable Registration |
Brain tumor grade classification using multi-step pre- | training | |
Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of | training | Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets |
Bridging computer vision and social science: A multi-camera vision system for social interaction | training | analysis |
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive | training | Sample Selection |
Broad Study of Pre- | training | for Domain Generalization and Adaptation, A |
BT2: Backward-compatible | training | with Basis Transformation |
Building a Representative | training | Set Based on Eigenimages |
Building and | training | Radiographic Models for Flexible Object Identification from Incomplete Data |
Building compact recognizers of handwritten Chinese characters using precision constrained Gaussian model, minimum classification error | training | and parameter compression |
BUS: Efficient and Effective Vision-language Pre- | training | with Bottom-Up Patch Summarization |
BVI-DVC: A | training | Database for Deep Video Compression |
C-SFDA: A Curriculum Learning Aided Self- | training | Framework for Efficient Source Free Domain Adaptation |
CA-PMG: Channel attention and progressive multi-granularity | training | network for fine-grained visual classification |
Camera based face tracking for enhancing surgical teamwork | training | with non-verbal communication |
Can self- | training | identify suspicious ugly duckling lesions? |
Can Shuffling Video Benefit Temporal Bias Problem: A Novel | training | Framework for Temporal Grounding |
Can the Structure Similarity of | training | Patches Affect the Sea Surface Temperature Deep Learning Super-Resolution? |
Can Visual Recognition Benefit from Auxiliary Information in | training | ? |
Caption-supervised Face Recognition: | training | a State-of-the-Art Face Model Without Manual Annotation |
Cart Auditor: A Compliance and | training | Tool for Cashiers at Checkout |
Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary | training | Data |
Cascaded U-Net with | training | Wheel Attention Module for Change Detection in Satellite Images |
Case Study on the Use of the SafeML Approach in | training | Autonomous Driving Vehicles |
CAT: Constrained Adversarial | training | for Anatomically-Plausible Semi-Supervised Segmentation |
Category-specific incremental visual codebook | training | for scene categorization |
Causal Interventional | training | for Image Recognition |
CCT: Conditional Co- | training | for Truly Unsupervised Remote Sensing Image Segmentation in Coastal Areas |
CDEST: Class Distinguishability-Enhanced Self- | training | Method for Adopting Pre-Trained Models to Downstream Remote Sensing Image Semantic Segmentation |
CDNet: Single Image De-Hazing Using Unpaired Adversarial | training | |
CDS: Cross-Domain Self-supervised Pre- | training | |
Celeb-500K: A Large | training | Dataset for Face Recognition |
Centered Weight Normalization in Accelerating | training | of Deep Neural Networks |
centralised | training | algorithm with D3QN for scalable regular unmanned ground vehicle formation maintenance, A |
CFA: Class-Wise Calibrated Fair Adversarial | training | |
Challenges in Energy-Efficient Deep Neural Network | training | with FPGA |
Change Detection by | training | a Triplet Network for Motion Feature Extraction |
Change Detection for Heterogeneous Remote Sensing Images with Improved | training | of Hierarchical Extreme Learning Machine (HELM) |
Change detection in SAR images using deep belief network: a new | training | approach based on morphological images |
Channel Parameter Estimation of mmWave MIMO System in Urban Traffic Scene: A | training | Channel-Based Method |
Cheaper Pre- | training | Lunch: An Efficient Paradigm for Object Detection |
Chlorophyll Concentration Retrieval by | training | Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion |
Cicero VR - Public Speaking | training | Tool and an Attempt to Create Positive Social VR Experience |
CiT: Curation in | training | for Effective Vision-Language Data |
Class-Aware Robust Adversarial | training | for Object Detection |
Class-Balanced | training | for Deep Face Recognition |
Classification of Mobile Lidar Data Using Vox-net and Auxiliary | training | Samples |
Classification of Time Series of Multispectral Images with Limited | training | Data |
Classifier Adaptation with Non-representative | training | Data |
Classifier aided | training | for semantic segmentation |
Classifier variability: Accounting for | training | and testing |
Classify Broiler Viscera Using an Iterative Approach on Noisy Labeled | training | Data |
CleanNet: Transfer Learning for Scalable Image Classifier | training | with Label Noise |
CLIP, Contrastive Language-Image Pre- | training | |
CLIP-Art: Contrastive Pre- | training | for Fine-Grained Art Classification |
CLIP-FG: Selecting Discriminative Image Patches by Contrastive Language-Image Pre- | training | for Fine-Grained Image Classification |
CLIP-Guided Vision-Language Pre- | training | for Question Answering in 3D Scenes |
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre- | training | |
Clip: Cheap Lipschitz | training | of Neural Networks |
Closed-Form Approximate CRF | training | for Scalable Image Segmentation |
Closed-Form | training | of Mahalanobis Distance for Supervised Clustering |
Closed-Loop | training | for Projected GAN |
Closer Look at Invariances in Self-supervised Pre- | training | for 3D Vision, A |
Closer Look at Self- | training | for Zero-Label Semantic Segmentation, A |
Closer Look at the Joint | training | of Object Detection and Re-Identification in Multi-Object Tracking, A |
CLOT: Contrastive Learning-Driven and Optimal Transport-Based | training | for Simultaneous Clustering |
ClusT3: Information Invariant Test-Time | training | |
CNNs with cross-correlation matching for face recognition in video surveillance using a single | training | sample per person |
Co-Adaptive and Affective Human-Machine Interface for Improving | training | Performances of Virtual Myoelectric Forearm Prosthesis |
Co-LDL: A Co- | training | -Based Label Distribution Learning Method for Tackling Label Noise |
Co-Occurrence Matrix Analysis-Based Semi-Supervised | training | for Object Detection |
Co- | training | 2L Submodels for Visual Recognition |
Co- | training | Based Segmentation of Merged Moving Objects |
Co- | training | for Handwritten Word Recognition |
co- | training | framework for visual tracking with multiple instance learning, A |
Co- | training | framework of generative and discriminative trackers with partial occlusion handling |
Co- | training | Non-Robust Classifiers for Video Semantic Concept Detection |
Co- | training | with noisy perceptual observations |
co- | training | , mutual learning approach towards mapping snow cover from multi-temporal high-spatial resolution satellite imagery, A |
Coarse to Fine | training | for Low-Resolution Heterogeneous Face Recognition |
Collaborative Learning of Lightweight Convolutional Neural Network and Deep Clustering for Hyperspectral Image Semi-Supervised Classification with Limited | training | Samples |
Collaborative | training | Between Region Proposal Localization and Classification for Domain Adaptive Object Detection |
Collider: A Robust | training | Framework for Backdoor Data |
Colored Noise Based Multicondition | training | Technique for Robust Speaker Identification |
Colour Sketch Recognition Interface for | training | Systems, The |
Combating Noisy Labels by Agreement: A Joint | training | Method with Co-Regularization |
Combination of supervised and unsupervised learning for | training | the activation functions of neural networks |
Combined MPEG7 Color Descriptors for Image Classification: Bypassing the | training | Phase |
Combined | training | strategy for low-resolution face recognition with limited application-specific data |
Combining 3D Convolutional Neural Networks with Transfer Learning by Supervised Pre- | training | for Facial Micro-Expression Recognition |
Combining Self | training | and Active Learning for Video Segmentation |
Combining Template Matching and Model Fitting for Human Body Segmentation and Tracking with Applications to Sports | training | |
COMET's Education and | training | for the Worldwide Meteorological Satellite User Community: Meeting Evolving Needs with Innovative Instruction |
Comments on Comparative analysis of backpropagation and the extended Kalman filter for | training | multilayer perceptrons |
Comparative analysis of backpropagation and the extended Kalman filter for | training | multilayer perceptrons |
Comparative Evaluation of a Virtual Reality Table and a HoloLens-Based Augmented Reality System for Anatomy | training | , A |
Comparing Complexities of Decision Boundaries for Robust | training | : A Universal Approach |
Comparison of Classification Algorithms and | training | Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery |
Comparison of methods for smile deceit detection by | training | AU6 and AU12 simultaneously |
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM | training | |
Comparison of Prediction Accuracy, Complexity, and | training | Time of Thirty-Three Old and New Classification Algorithms, A |
Comparison of statistical models performance in case of segmentation using a small amount of | training | datasets |
Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited | training | data points |
Comparison of | training | Strategies for Convnets On Multiple Similar Datasets for Facade Segmentation |
Compensating for the Lack of Extra | training | Data by Learning Extra Representation |
Complex Event Recognition from Images with Few | training | Examples |
Component-based LDA method for face recognition with one | training | sample |
Composite Correlation Filters for Detection of Geometrically Distorted Objects Using Noisy | training | Images |
Comprehensive Survey on Distributed | training | of Graph Neural Networks, A |
Computer-Aided Diagnostic Scheme for Distinction Between Benign and Malignant Nodules in Thoracic Low-Dose CT by Use of Massive | training | Artificial Neural Network |
Conceptual 12M: Pushing Web-Scale Image-Text Pre- | training | To Recognize Long-Tail Visual Concepts |
ConCL: Concept Contrastive Learning for Dense Prediction Pre- | training | in Pathology Images |
Conditional DETR for Fast | training | Convergence |
Conditional Generative Adversarial Network-Based | training | Sample Set Improvement Model for the Semantic Segmentation of High-Resolution Remote Sensing Images |
Conditional random fields versus template-matching in MT phrasing tasks involving sparse | training | data |
Confidence Regularized Self- | training | |
Confidence- and margin-based MMI/MPE discriminative | training | for off-line handwriting recognition |
Confidence-Based Discriminative | training | for Model Adaptation in Offline Arabic Handwriting Recognition |
Confidence-Based | training | for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets |
Conflicting Bundles: Adapting Architectures Towards the Improved | training | of Deep Neural Networks |
Consecutive Pre- | training | : A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain |
Conservative Wasserstein | training | for Pose Estimation |
Constrained Spectral Clustering Network with Self- | training | |
Constructing and | training | feed-forward neural networks for pattern classification |
Context-aware Alignment and Mutual Masking for 3D-Language Pre- | training | |
context-sensitive-chunk BPTT approach to | training | deep LSTM/BLSTM recurrent neural networks for offline handwriting recognition, A |
continual learning-guided | training | framework for pansharpening, A |
Continual Local | training | For Better Initialization Of Federated Models |
continuation approach for | training | Artificial Neural Networks with meta-heuristics, A |
Continuous restricted Boltzmann machine with an implementable | training | algorithm |
Contrast and Classify: | training | Robust VQA Models |
Contrast to Divide: Self-Supervised Pre- | training | for Learning with Noisy Labels |
Contrastive learning of graph encoder for accelerating pedestrian trajectory prediction | training | |
Contrastive Self-Supervised Pre- | training | for Video Quality Assessment |
Contrastive Vision-Language Pre- | training | with Limited Resources |
Controllable Orthogonalization in | training | DNNs |
Controllable Style Transfer via Test-time | training | of Implicit Neural Representation |
Convolutional Analysis Operator Learning: Dependence on | training | Data |
Convolutional neural networks and | training | strategies for skin detection |
Convolutional neural networks for histopathology image classification: | training | vs. Using pre-trained networks |
Convolutional Neural Networks for Medical Image Analysis: Full | training | or Fine Tuning? |
COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre- | training | for Vision-Language Representation |
Cooperative Initialization based Deep Neural Network | training | |
Cooperative Self- | training | for Multi-Target Adaptive Semantic Segmentation |
Cooperative | training | of Descriptor and Generator Networks |
Cooperative | training | of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning |
Coral-Segmentation: | training | Dense Labeling Models with Sparse Ground Truth |
Correcting Imprecise Object Locations for | training | Object Detectors in Remote Sensing Applications |
Correlational Image Modeling for Self-Supervised Visual Pre- | training | |
Corrigendum to An algorithm for | training | a large scale support vector machine for regression based on linear programming and decomposition methods |
Cost-free adversarial defense: Distance-based optimization for model robustness without adversarial | training | |
COTS: Collaborative Two-Stream Vision-Language Pre- | training | Model for Cross-Modal Retrieval |
Counterfactual Critic Multi-Agent | training | for Scene Graph Generation |
Counterfactual Samples Synthesizing and | training | for Robust Visual Question Answering |
Counterfactual Visual Dialog: Robust Commonsense Knowledge Learning From Unbiased | training | |
Countering Adversarial Examples: Combining Input Transformation and Noisy | training | |
Counting Objects by Diffused Index: Geometry-free and | training | -free approach |
Counting Pedestrians in Crowds Using Viewpoint Invariant | training | |
Coupled Adversarial | training | for Remote Sensing Image Super-Resolution |
Coupled Dictionary | training | for Image Super-Resolution |
Coupled K-SVD dictionary | training | for super-resolution |
Coupled | training | for Multi-Source Domain Adaptation |
Covariance-Matrix Estimation and Classification with Limited | training | Data |
CPR-CLIP: Multimodal Pre- | training | for Composite Error Recognition in CPR Training |
CPR-CLIP: Multimodal Pre- | training | for Composite Error Recognition in CPR Training |
CQ+ | training | : Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to Spiking Neural Networks |
Creative Industries and Immersive Technologies for | training | , Understanding and Communication in Cultural Heritage |
CReST: A Class-Rebalancing Self- | training | Framework for Imbalanced Semi-Supervised Learning |
CroCo v2: Improved Cross-view Completion Pre- | training | for Stereo Matching and Optical Flow |
Cross-Dataset Data Augmentation for Convolutional Neural Networks | training | |
Cross-Domain Facial Expression Recognition via Contrastive Warm up and Complexity-Aware Self- | training | |
Cross-Informed Domain Adversarial | training | for Noise-Robust Wake-Up Word Detection |
Cross-Modality Automatic Face Model | training | from Large Video Databases |
Cross-Modality Image Registration Using a | training | -Time Privileged Third Modality |
Cross-Referencing Self- | training | Network for Sound Event Detection in Audio Mixtures |
Cross- | training | Deep Neural Networks for Learning from Label Noise |
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency | training | |
Crowdsearching | training | Sets for Image Classification |
Crowdsourcing Thousands of Specialized Labels: A Bayesian Active | training | Approach |
Crucial feature capture and discrimination for limited | training | data SAR ATR |
CTR: Contrastive | training | Recognition Classifier for Few-Shot Open-World Recognition |
CTVIS: Consistent | training | for Online Video Instance Segmentation |
CUDA-based hill-climbing algorithm to find irreducible testors from a | training | matrix, A |
CURL: Image Classification using co- | training | and Unsupervised Representation Learning |
Curvature-Aware | training | for Coordinate Networks |
Cutting-Plane | training | of Non-associative Markov Network for 3D Point Cloud Segmentation |
CVA2E: A Conditional Variational Autoencoder With an Adversarial | training | Process for Hyperspectral Imagery Classification |
CVAE-GAN: Fine-Grained Image Generation through Asymmetric | training | |
cViL: Cross-Lingual | training | of Vision-Language Models using Knowledge Distillation |
CXRMIM: Masked Image Modeling Pre- | training | Paradigm for Chest X-Ray Images Analysis |
Cyberphysical System With Virtual Reality for Intelligent Motion Recognition and | training | |
Cycle and Self-Supervised Consistency | training | for Adapting Semantic Segmentation of Aerial Images |
Cyclic Annealing | training | Convolutional Neural Networks for Image Classification with Noisy Labels |
Cyclic Self- | training | With Proposal Weight Modulation for Cross-Supervised Object Detection |
Cyclical Learning Rates for | training | Neural Networks |
D3mobile Metrology World League: | training | Secondary Students on Smartphone-based Photogrammetry |
DAFormer: Improving Network Architectures and | training | Strategies for Domain-Adaptive Semantic Segmentation |
DAP: Detection-Aware Pre- | training | with Weak Supervision |
DART: Diversify-Aggregate-Repeat | training | Improves Generalization of Neural Networks |
DaST: Data-Free Substitute | training | for Adversarial Attacks |
DAT: | training | Deep Networks Robust to Label-Noise by Matching the Feature Distributions |
data augmentation methodology for | training | machine/deep learning gait recognition algorithms, A |
Data dimension reduction in | training | strategy for face recognition system |
Data Discernment for Affordable | training | in Medical Image Segmentation |
Data filtering for efficient adversarial | training | |
Dataset Culling: Towards Efficient | training | of Distillation-Based Domain Specific Models |
Dataset Distillation by Matching | training | Trajectories |
Dataset Efficient | training | with Model Ensembling |
Day-to-Night Image Synthesis for | training | Nighttime Neural ISPs |
DBN-Mix: | training | dual branch network using bilateral mixup augmentation for long-tailed visual recognition |
DCMSVM: Distributed parallel | training | for single-machine multiclass classifiers |
Dealing with small data and | training | blind spots in the Manhattan world |
Decanus to Legatus: Synthetic | training | for 2D-3D Human Pose Lifting |
DecentLaM: Decentralized Momentum SGD for Large-batch Deep | training | |
Decoder Banks: Versatility, Automation, and High Accuracy without Supervised | training | |
Decoupled 3D Facial Shape Model by Adversarial | training | , A |
Deep Adversarial | training | for Multi-Organ Nuclei Segmentation in Histopathology Images |
Deep anomaly detection with self-supervised learning and adversarial | training | |
Deep Co- | training | for Semi-Supervised Image Recognition |
Deep co- | training | for semi-supervised image segmentation |
Deep Co- | training | with Task Decomposition for Semi-Supervised Domain Adaptation |
Deep Compositional Captioning: Describing Novel Object Categories without Paired | training | Data |
Deep Convolutional Neural Network With Adversarial | training | for Denoising Digital Breast Tomosynthesis Images |
Deep Face Swapping via Cross-identity Adversarial | training | |
Deep feature learning for dummies: A simple auto-encoder | training | method using Particle Swarm Optimisation |
Deep Incubation: | training | Large Models by Divide-and-Conquering |
Deep Label Prior: Pre- | training | -Free Salient Object Detection Network Based on Label Learning |
deep learning approach to DTM extraction from imagery using rule-based | training | labels, A |
Deep Learning COVID-19 Features on CXR Using Limited | training | Data Sets |
Deep Learning Framework of Autonomous Pilot Agent for Air Traffic Controller | training | , A |
Deep Learning on Small Datasets without Pre- | training | using Cosine Loss |
Deep Learning-Based Hyperspectral Object Classification Approach via Imbalanced | training | Samples Handling, A |
Deep Modality Assistance Co- | training | Network for Semi-Supervised Multi-Label Semantic Decoding |
Deep Natural Language Inference Predictor Without Language-specific | training | Data, A |
Deep Network | training | , Strategy, Design, Techniques |
Deep Neural Framework for Continuous Sign Language Recognition by Iterative | training | , A |
Deep Neural Network for Coarse-to-Fine Image Dehazing with Interleaved Residual Connections and Semi-Supervised | training | , A |
Deep variance network: An iterative, improved CNN framework for unbalanced | training | datasets |
Deep-Learning-Based Automated Neuron Reconstruction From 3D Microscopy Images Using Synthetic | training | Images |
Deeper Look at Image Salient Object Detection: Bi-Stream Network With a Small | training | Dataset |
DeeperGCN: | training | Deeper GCNs With Generalized Aggregation Functions |
Deeply Unsupervised Patch Re-Identification for Pre- | training | Object Detectors |
Deepsub: A Novel Subset Selection Framework for | training | Deep Learning Architectures |
Defending Against Universal Perturbations With Shared Adversarial | training | |
Definition of Effective | training | Sets for Supervised Classification of Remote Sensing Images by a Novel Cost-Sensitive Active Learning Method |
Deformable mesh simulation for virtual laparoscopic cholecystectomy | training | |
Delegated Adversarial | training | for Unsupervised Domain Adaptation |
Delivering Critical Stimuli for Decision Making in VR | training | : Evaluation Study of a Firefighter Training Scenario |
Delivering Critical Stimuli for Decision Making in VR | training | : Evaluation Study of a Firefighter Training Scenario |
DeltaEdit: Exploring Text-free | training | for Text-Driven Image Manipulation |
Delving into Data: Effectively Substitute | training | for Black-box Attack |
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without | training | ? |
Denoising adversarial autoencoders: classifying skin lesions using limited labelled | training | data |
Dense Contrastive Learning for Self-Supervised Visual Pre- | training | |
Dense In Dense: | training | Segmentation from Scratch |
Dense open-set recognition based on | training | with noisy negative images |
Depth Dropout: Efficient | training | of Residual Convolutional Neural Networks |
Depth Restoration via Joint | training | of a Global Regression Model and CNNs |
Depth-supervised NeRF: Fewer Views and Faster | training | for Free |
Deriving a discriminative color model for a given object class from weakly labeled | training | data |
Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification Error | training | and Parameter Compression |
Design of A Novel Gait Simulator for Rehabilitation | training | |
Designing and Evaluating a Virtual Reality | training | for Paramedics to Practice Triage in Complex Situations |
Designing Translation Invariant Operations Via Neural Network | training | |
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre- | training | via Word-Region Alignment |
Detecting GAN-Generated Images by Orthogonal | training | of Multiple CNNs |
Detecting Tear Gas Canisters With Limited | training | Data |
Detection and Correction of Mislabeled | training | Samples for Hyperspectral Image Classification |
Detection of Changes in Buildings in Remote Sensing Images via Self-Supervised Contrastive Pre- | training | and Historical Geographic Information System Vector Maps |
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End | training | With Image-Level Labels |
DetOFA: Efficient | training | of Once-for-All Networks for Object Detection using Path Filter |
DETRs with Collaborative Hybrid Assignments | training | |
Developing a VR | training | Program for Geriatric Patients with Chronic Back Pain |
Developing and | training | Multi-gestural Prosthetic Arms |
Development and evaluation of a self- | training | system for tennis shots with motion feature assessment and visualization |
Development of a Virtual Environment Based Image Generation Tool for Neural Network | training | |
Development of an AR | training | Construction System Using Embedded Information in a Real Environment |
diagnostic report supervised deep learning model | training | strategy for diagnosis of COVID-19, A |
Dialog Must Go On: Improving Visual Dialog via Generative Self- | training | , The |
Dictionary | training | for Sparse Representation as Generalization of K-Means Clustering |
Dictionary-enabled efficient | training | of ConvNets for image classification |
Diffusion augmented complex adaptive IIR algorithm for | training | widely linear ARMA models |
Diminishing Uncertainty Within the | training | Pool: Active Learning for Medical Image Segmentation |
Direct Feedback Alignment Based Convolutional Neural Network | training | for Low-Power Online Learning Processor |
Disaster Intensity-Based Selection of | training | Samples for Remote Sensing Building Damage Classification |
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP | training | |
Discrepant collaborative | training | by Sinkhorn divergences |
Discriminability Objective for | training | Descriptive Captions |
Discriminant Low-dimensional Subspace Analysis for Face Recognition with Small Number of | training | Samples |
Discrimination between Genuine and Cloned Gait Silhouette Videos via Autoencoder-Based | training | Data Generation |
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited | training | Data |
Discriminative HMM | training | with GA for handwritten word recognition |
Discriminative Multimanifold Analysis for Face Recognition from a Single | training | Sample per Person |
Discriminative representation learning for person re-identification via multi-loss | training | |
Discriminative | training | approaches to fabric defect classification based on wavelet transform |
Discriminative | training | for Convolved Multiple-Output Gaussian Processes |
Discriminative | training | for HMM-based of fine handwritten character recognition |
Discriminative | training | for Object Recognition Using Image Patches |
Discriminative | training | of Conditional Random Fields with Probably Submodular Constraints |
Discriminative | training | of CRF models with probably submodular constraints |
Discriminative | training | of Deep Fully Connected Continuous CRFs With Task-Specific Loss |
Discriminative | training | of HMM using MASPER procedure |
Discriminative | training | of Hyper-feature Models for Object Identification |
Discriminative | training | of NMF Model Based on Class Probabilities for Speech Enhancement |
Discriminative | training | of spiking neural networks organised in columns for stream-based biometric authentication |
Disentangled Loss for Low-Bit Quantization-Aware | training | |
Disentangled Representation Learning for OCTA Vessel Segmentation With Limited | training | Data |
Disentangling Architecture and | training | for Optical Flow |
Distance Based | training | for Cross-Modality Person Re-Identification |
Distance- | training | for Image-based 3d Modelling of Archeological Sites In Remote Regions |
Distillation Sparsity | training | Algorithm for Accelerating Convolutional Neural Networks in Embedded Systems |
Distillation-Based | training | for Multi-Exit Architectures |
Distilling Vision-Language Pre- | training | to Collaborate with Weakly-Supervised Temporal Action Localization |
Distributed | training | and Inference of Deep Learning Models for Multi-Modal Land Cover Classification |
Distributed | training | of deep neural networks with spark: The MareNostrum experience |
DisWOT: Student Architecture Search for Distillation WithOut | training | |
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network | training | |
Divergence Triangle for Joint | training | of Generator Model, Energy-Based Model, and Inferential Model |
Diverse | training | dataset generation based on a multi-objective optimization for semi-Supervised classification |
DMT: Dynamic mutual | training | for semi-supervised learning |
DN-DETR: Accelerate DETR | training | by Introducing Query DeNoising |
Do less and achieve more: | training | CNNs for action recognition utilizing action images from the Web |
Do We Need Large Annotated | training | Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection |
Do We Need More | training | Data or Better Models for Object Detection? |
Do We Need More | training | Data? |
Do we really need more | training | data for object localization |
Does Image Anonymization Impact Computer Vision | training | ? |
Does Interference Exist When | training | a Once-For-All Network? |
Doing Versus Observing: Virtual Reality and 360-Degree Video for | training | Manufacturing Tasks |
Domain Adaptation using Self- | training | with Mixup for One-Stage Object Detection |
Domain Adaptive Action Recognition with Integrated Self- | training | and Feature Selection |
Domain Adaptive and Generalizable Network Architectures and | training | Strategies for Semantic Image Segmentation |
Domain Adaptive Object Detection via Balancing Between Self- | training | and Adversarial Learning |
Domain Generalization via Balancing | training | Difficulty and Model Capability |
Domain Generalization via Optical Flow: | training | a CNN in a Low-Quality Simulation to Detect Obstacles in the Real World |
Domain-Adversarial | training | of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery |
Don't Be So Dense: Sparse-to-Sparse GAN | training | Without Sacrificing Performance |
Downlink | training | Overhead Reduction Technique for FDD Massive MIMO Systems |
Downscaling Multispectral Satellite Images Without Colocated High-Resolution Data: A Stochastic Approach Based on | training | Images |
DRBP: dynamically reinforced BP-based ANN- | training | |
DRE-Net: A Dynamic Radius-Encoding Neural Network with an Incremental | training | Strategy for Interactive Segmentation of Remote Sensing Images |
DropRegion | training | of inception font network for high-performance Chinese font recognition |
DropSample: A new | training | method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition |
DST: Dynamic Substitute | training | for Data-free Black-box Attack |
Dual Graph Convolutional Network for Hyperspectral Image Classification With Limited | training | Samples |
Dual Loss for Manga Character Recognition with Imbalanced | training | Data |
Dual Pseudo-Labels Interactive Self- | training | for Semi-Supervised Visible-Infrared Person Re-Identification |
Dual similarity pre- | training | and domain difference encouragement learning for vehicle re-identification in the wild |
Dual-Consistency Self- | training | for Unsupervised Domain Adaptation |
Dual-Mode | training | with Style Control and Quality Enhancement for Road Image Domain Adaptation |
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN | training | |
Dynamic Attention-Controlled Cascaded Shape Regression Exploiting | training | Data Augmentation and Fuzzy-Set Sample Weighting |
Dynamic Context Removal: A General | training | Strategy for Robust Models on Video Action Predictive Tasks |
Dynamic Difficulty Awareness | training | for Continuous Emotion Prediction |
Dynamic Divide-and-Conquer Adversarial | training | for Robust Semantic Segmentation |
Dynamic facial expression recognition with pseudo-label guided multi-modal pre- | training | |
Dynamic Feature Queue for Surveillance Face Anti-spoofing via Progressive | training | |
Dynamic Low-Light Image Enhancement for Object Detection via End-to-End | training | |
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic | training | |
Dynamic Scene Graph Generation via Anticipatory Pre- | training | |
Dynamic signature verification using discriminative | training | |
Dynamic | training | Data Dropout for Robust Deep Face Recognition |
Dynamic | training | of hand gesture recognition system |
Dynamic | training | using multistage clustering for face recognition |
Dynamic-Net: Tuning the Objective Without Re- | training | for Synthesis Tasks |
DyRep: Bootstrapping | training | with Dynamic Re-parameterization |
E-Commerce Storytelling Recommendation Using Attentional Domain-Transfer Network and Adversarial Pre- | training | |
EdgeGAN: One-way mapping generative adversarial network based on the edge information for unpaired | training | set |
Education and | training | activities in airborne research |
Education and | training | in Applied Remote Sensing in Africa: The ARCSSTE-E Experience |
Educational and | training | Experiences in Geomatics: Tailored Approaches For Different Audience |
Effect of Architectures and | training | Methods on the Performance of Learned Video Frame Prediction |
Effect of autocorrelated | training | samples on Bayes' probabilities of misclassification |
Effect of Block Size, | training | Set and K-Value in the Classification of Food Grains Using HSI Color Model, The |
Effect of intraclass correlation among | training | samples on the misclassification probabilities of bayes procedure |
effect of large | training | set sizes on online japanese kanji and english cursive recognizers, The |
Effect of Stage | training | for Long-Tailed Multi-Label Image Classification |
Effect of Tactile Affordance During the Design of Extended Reality-based | training | Environments for Healthcare Contexts |
Effect of | training | Class Label Noise on Classification Performances for Land Cover Mapping with Satellite Image Time Series |
Effect of | training | Strategies on Supervised Classification at Different Spatial Resolutions, The |
Effective Adversarial | training | Based Spatial-Temporal Network for Abnormal Behavior Detection, An |
Effective Approach for Neural Network | training | Based on Comprehensive Learning, An |
Effective constructing | training | sets for object detection |
Effective crowd counting using multi-resolution context and image quality assessment-guided | training | |
Effective Face Detection Using a Small Quantity of | training | Data |
Effective Part Localization in Latent-SVM | training | |
Effective Sequential Classifier | training | for SVM-Based Multitemporal Remote Sensing Image Classification |
Effective | training | of convolutional neural networks for face-based gender and age prediction |
Effective | training | of Convolutional Neural Networks for Insect Image Recognition |
Effective | training | of Convolutional Neural Networks With Low-Bitwidth Weights and Activations |
Effective | training | of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling |
Effects and Combination of Tailored Browser-Based and Mobile Cognitive Software | training | |
Effects of Classifier Structures and | training | Regimes on Integrated Segmentation and Recognition of Handwritten Numeral Strings |
Effects of Computerized Emotional | training | on Children with High Functioning Autism |
Effects of Point or Polygon Based | training | Data on RandomForest Classification Accuracy of Wetlands, The |
Effects of | training | Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data |
Efficient Adversarial | training | With Transferable Adversarial Examples |
Efficient and effective algorithms for | training | single-hidden-layer neural networks |
Efficient and effective OCR engine | training | |
Efficient and | training | -Free Blind Image Blur Assessment in the Spatial Domain, An |
Efficient Beam- | training | Technique for Millimeter-Wave Cellular Communications |
Efficient Classifier | training | to Minimize False Merges in Electron Microscopy Segmentation |
Efficient cloud detection in remote sensing images using edge-aware segmentation network and easy-to-hard | training | strategy |
Efficient Conditional Pre- | training | for Transfer Learning |
Efficient correlation filter tracking with adaptive | training | sample update scheme |
efficient deep neural networks | training | framework for robust face recognition, An |
Efficient Diffusion | training | via Min-SNR Weighting Strategy |
Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided | training | |
efficient hyperspectral image classification method for limited | training | data, An |
Efficient Image Categorization Method With Insufficient | training | Samples, An |
Efficient Multiple-Feature Learning-Based Hyperspectral Image Classification with Limited | training | Samples |
Efficient neural network | training | using curvelet features |
Efficient Neural PDE-Solvers using Quantization Aware | training | |
Efficient On-Device | training | via Gradient Filtering |
Efficient Piecewise | training | of Deep Structured Models for Semantic Segmentation |
Efficient RTM-based | training | of machine learning regression algorithms to quantify biophysical and biochemical traits of agricultural crops |
Efficient selection of informative and diverse | training | samples with applications in scene classification |
Efficient Token-Guided Image-Text Retrieval With Consistent Multimodal Contrastive | training | |
Efficient | training | Approach for Very Large Scale Face Recognition, An |
Efficient | training | for Automatic Defect Classification by Image Augmentation |
Efficient | training | for pairwise or higher order CRFs via dual decomposition |
Efficient | training | for Positive Unlabeled Learning |
Efficient | training | Framework for Reversible Neural Architectures, An |
Efficient | training | of Artificial Neural Networks for Autonomous Navigation |
Efficient | training | of Deep Learning Models Through Improved Adaptive Sampling |
Efficient | training | of Evolution-Constructed Features |
Efficient | training | of Multiple Ant Tracking |
Efficient | training | of Very Deep Neural Networks for Supervised Hashing |
Efficient | training | Over Long Short-Term Memory Networks for Wind Speed Forecasting |
Efficient Urban Flood Mapping Framework Towards Disaster Response Driven by Weakly Supervised Semantic Segmentation with Decoupled | training | Samples, An |
Efficiently Creating 3D | training | Data for Fine Hand Pose Estimation |
Efficiently | training | a better visual detector with sparse eigenvectors |
EfficientTrain: Exploring Generalized Curriculum Learning for | training | Visual Backbones |
Effortless | training | of Joint Energy-Based Models with Sliced Score Matching |
EgoVLPv2: Egocentric Video-Language Pre- | training | with Fusion in the Backbone |
Eigendecomposition-Free | training | of Deep Networks for Linear Least-Square Problems |
Eigendecomposition-Free | training | of Deep Networks with Zero Eigenvalue-Based Losses |
EigenPlaces: | training | Viewpoint Robust Models for Visual Place Recognition |
ElasticViT: Conflict-aware Supernet | training | for Deploying Fast Vision Transformer on Diverse Mobile Devices |
ellipsoid constrained quadratic programming (ECQP) approach to MCE | training | of MQDF-based classifiers for handwriting recognition, An |
EmoBed: Strengthening Monomodal Emotion Recognition via | training | with Crossmodal Emotion Embeddings |
Emotion Recognition on Twitter: Comparative Study and | training | a Unison Model |
Empirical Analysis Of Overfitting And Mode Drop In GAN | training | |
Empirical Study of | training | End-to-End Vision-and-Language Transformers, An |
Empirical Study of | training | Self-Supervised Vision Transformers, An |
EMQ: Evolving | training | -free Proxies for Automated Mixed Precision Quantization |
Enabling Efficient | training | of Convolutional Neural Networks for Histopathology Images |
Enabling Robust Horizon Picking From Small | training | Sets |
Encapsulating the Impact of Transfer Learning, Domain Knowledge and | training | Strategies in Deep-Learning Based Architecture: A Biometric Based Case Study |
End-to-End Pre- | training | With Hierarchical Matching and Momentum Contrast for Text-Video Retrieval |
End-to-end | training | of a two-stage neural network for defect detection |
End-to-end | training | of CNN ensembles for person re-identification |
End-to-End | training | of Hybrid CNN-CRF Models for Stereo |
End-to-End | training | of Object Class Detectors for Mean Average Precision |
Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial | training | , The |
Energy-based Self- | training | and Normalization for Unsupervised Domain Adaptation |
Energy-constrained Self- | training | for Unsupervised Domain Adaptation |
Engagement Detection with Multi-Task | training | in E-Learning Environments |
Enhanced (PC)2A for Face Recognition with One | training | Image Per Person |
Enhanced multi-dataset transfer learning method for unsupervised person re-identification using co- | training | strategy |
Enhanced Single-Pair Learning-Based Reflectance Fusion Algorithm with Spatiotemporally Extended | training | Samples, An |
Enhanced | training | of Query-Based Object Detection via Selective Query Recollection |
Enhancing Adversarial | training | with Second-Order Statistics of Weights |
Enhancing inverse halftoning via coupled dictionary | training | |
Enhancing | training | Collections for Image Annotation: An Instance-Weighted Mixture Modeling Approach |
Enhancing | training | data for handwriting recognition of whiteboard notes with samples from a different database |
Enhancing | training | Data Quality With Visual Analytics |
Enhancing | training | Set for Face Detection |
Enhancing Visual Grounding in Vision-Language Pre- | training | With Position-Guided Text Prompts |
Ensemble classifier with dividing | training | scheme for Chinese scene character recognition |
Ensembling Off-the-shelf Models for GAN | training | |
ENSURE: A General Approach for Unsupervised | training | of Deep Image Reconstruction Algorithms |
Entropic Score metric: Decoupling Topology and Size in | training | -free NAS |
Entropy-Driven Sampling and | training | Scheme for Conditional Diffusion Generation |
Episodic | training | for Domain Generalization |
Equalization Losses: Gradient-Driven | training | for Long-tailed Object Recognition, The |
ERC: Evolutionary Resample and Combine for Adaptive Parallel | training | Data Set Selection |
Error Correction with In-domain | training | across Multiple OCR System Outputs |
Estimating Contribution of | training | Datasets using Shapley Values in Data-scale for Visual Recognition |
Estimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates | training | data |
Estimating Sea Ice Concentration From SAR: | training | Convolutional Neural Networks With Passive Microwave Data |
Estimation of Kinect depth confidence through self- | training | |
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks | training | |
ETAD: | training | Action Detection End to End on a Laptop |
Evading the Simplicity Bias: | training | a Diverse Set of Models Discovers Solutions with Superior OOD Generalization |
Evaluating logarithmic kernel for spectral reflectance estimation: Effects on model parametrization, | training | set size, and number of sensor spectral channels |
Evaluating synthetic pre- | training | for handwriting processing tasks |
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 Risk of Muscle Injury in Football-Kicking | training | with OpenSim |
Evaluation of Different | training | Sample Allocation Schemes for Discrete and Continuous Land Cover Classification Using Decision Tree-Based Algorithms, An |
Evaluation of Diverse Convolutional Neural Networks and | training | Strategies for Wheat Leaf Disease Identification with Field-Acquired Photographs |
Evaluation of feature sensitivity to | training | data inaccuracy in detection of retinal lesions |
Evaluation of LiDAR-Derived Features Relevance and | training | Data Minimization for 3D Point Cloud Classification |
Evaluation of Self-supervised Pre- | training | for Skin-lesion Analysis, An |
Event Camera Data Pre- | training | |
Evolutionary Approach to | training | Relaxation Labeling Processes, An |
Evolving Into a Transformer: From a | training | -Free Retrieval-Based Method for Anomaly Obstacle Segmentation |
Expand | training | set for face detection by GA re-sampling |
Expanding | training | Data for Facial Image Super-Resolution |
Expanding | training | Set for Chinese Sign Language Recognition |
Expecting the Unexpected: | training | Detectors for Unusual Pedestrians with Adversarial Imposters |
Explaining in Style: | training | a GAN to explain a classifier in StyleSpace |
Explanation-Guided | training | for Cross-Domain Few-Shot Classification |
Exploring Adversarially Robust | training | for Unsupervised Domain Adaptation |
Exploring complementary information of self-supervised pretext tasks for unsupervised video pre- | training | |
Exploring Effective Data for Surrogate | training | Towards Black-box Attack |
Exploring Extended Reality as a Simulation | training | Tool Through Naturalistic Interactions and Enhanced Immersion |
Exploring Feature Representation and | training | Strategies in Temporal Action Localization |
Exploring Issues of | training | Data Imbalance and Mislabelling on Random Forest Performance for Large Area Land Cover Classification Using the Ensemble Margin |
Exploring MPE/MWE | training | for Chinese Handwriting Recognition |
Exploring Pattern Selection Strategies for Fast Neural Network | training | |
Exploring Phrase Grounding without | training | : Contextualisation and Extension to Text-Based Image Retrieval |
Exploring Self-Supervised Learning for Multi-Modal Remote Sensing Pre- | training | via Asymmetric Attention Fusion |
Exploring the diversity and invariance in yourself for visual pre- | training | task |
Exploring the Impact of | training | Data Bias on Automatic Generation of Video Captions |
Exploring the Suitability of Using Virtual Reality and Augmented Reality for Anatomy | training | |
Exponential decay sine wave learning rate for fast deep neural network | training | |
Extended CRC: Face Recognition with a Single | training | Image per Person via Intraclass Variant Dictionary |
Extended Feature Pyramid Network with Adaptive Scale | training | Strategy and Anchors for Object Detection in Aerial Images |
Extended Reality Simulator for Advanced Trauma Life Support | training | , An |
Extended Semi-Supervised Regression Approach with Co- | training | and Geographical Weighted Regression: A Case Study of Housing Prices in Beijing, An |
Extended Study of Human-like Behavior under Adversarial | training | , An |
Extracting Building Areas from Photogrammetric DSM and DOM by Automatically Selecting | training | Samples from Historical DLG Data |
Extraction of Sea Ice Cover by Sentinel-1 SAR Based on Support Vector Machine With Unsupervised Generation of | training | Data |
Eye-Tracking for Performance Evaluation and Workload Estimation in Space Telerobotic | training | |
F-SCP: An automatic prompt generation method for specific classes based on visual language pre- | training | models |
F2-NeRF: Fast Neural Radiance Field | training | with Free Camera Trajectories |
Face detection from few | training | examples |
Face gender classification: A statistical study when neutral and distorted faces are combined for | training | and testing purposes |
Face Model Adaptation for Tracking and Active Appearance Model | training | |
Face recognition based on perceived facial images and multilayer perceptron neural network using constructive | training | algorithm |
Face Recognition Based on Projection Map and Fourier Transform for One | training | Image Per Person |
Face Recognition from a Single | training | Image under Arbitrary Unknown Lighting Using Spherical Harmonics |
Face recognition using patch manifold learning across plastic surgery from a single | training | exemplar per enrolled person |
Face recognition using | training | data with artificial occlusions |
Face recognition with occlusions in the | training | and testing sets |
Face recognition with one | training | image per person |
Face Recognition with Single | training | Sample per Subject |
Facial Action Unit Recognition in the Wild with Multi-Task CNN Self- | training | for the EmotioNet Challenge |
Facial Comparisons by Subject Matter Experts: Their Role in Biometrics and Their | training | |
Facial expression recognition with Convolutional Neural Networks: Coping with few data and the | training | sample order |
Factors Affecting the | training | of a WISARD Classifier for Monitoring Fish Underwater |
Fair Scratch Tickets: Finding Fair Sparse Networks without Weight | training | |
FairALM: Augmented Lagrangian Method for | training | Fair Models with Little Regret |
Faketracer: Exposing Deepfakes with | training | Data Contamination |
False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive- | training | Support Vector Regression Approach |
FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre- | training | |
Fast Adversarial | training | With Adaptive Step Size |
Fast Adversarial | training | with Smooth Convergence |
Fast C++ Implementation of Neural Network Backpropagation | training | Algorithm: Application to Bayesian Optimal Image Demosaicing, A |
Fast Convolutional Neural Network | training | Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images |
Fast Crowd Density Estimation in Surveillance Videos without | training | |
Fast Data Selection for SVM | training | Using Ensemble Margin |
Fast Face Detector | training | Using Tailored Views |
Fast Face Image Synthesis With Minimal | training | |
Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse | training | Labels |
Fast kernel SVM | training | via support vector identification |
Fast model selection for MaxMinOver-based | training | of support vector machines |
fast revised simplex method for SVM | training | , A |
Fast super-resolution algorithms using one-dimensional patch-based | training | and directional interpolation |
Fast Super-Resolution via Dense Local | training | and Inverse Regressor Search |
Fast support vector machine | training | via three-term conjugate-like SMO algorithm |
Fast SVM | training | Algorithm with Decomposition on Very Large Data Sets |
Fast | training | and selection of Haar features using statistics in boosting-based face detection |
Fast | training | Method for Face Detection, A |
Fast | training | of Effective Multi-class Boosting Using Coordinate Descent Optimization |
Fast | training | of Object Detection Using Stochastic Gradient Descent |
Fast | training | of Triplet-Based Deep Binary Embedding Networks |
Faster SVM | training | via conjugate SMO |
Faster | training | of Mask R-CNN by focusing on instance boundaries |
Faster | training | of very deep networks via p-norm gates |
feasibility study of an autoencoder meta-model for improving generalization capabilities on | training | sets of small sizes, A |
Feature Consistency | training | With JPEG Compressed Images |
Feature selection based on the | training | set manipulation |
Feature Selection When Limited Numbers of | training | Samples are Available |
Feedback Estimation Approach for Therapeutic Facial | training | , A |
Feedforward Neural Networks for Bayes-Optimal Classification: Investigations on the Influence of the Composition of the | training | Set on the Cost Function |
Few-Shot Dataset Distillation via Translative Pre- | training | |
Few-Shot High-Resolution Range Profile Ship Target Recognition Based on Task-Specific Meta-Learning with Mixed | training | and Meta Embedding |
Few-Shot Learning With Embedded Class Models and Shot-Free Meta | training | |
FFCV: Accelerating | training | by Removing Data Bottlenecks |
Fictitious GAN: | training | GANs with Historical Models |
Filter Response Normalization Layer: Eliminating Batch Dependence in the | training | of Deep Neural Networks |
Filtering, Distillation, and Hard Negatives for Vision-Language Pre- | training | |
Fine tuning CNNS with scarce | training | data: Adapting imagenet to art epoch classification |
Fine Tuning, Fine-Tuning, Pre- | training | , Zero-Shot, One-Shot |
Fine-grained Data Distribution Alignment for Post- | training | Quantization |
Fine-Grained Recognition of Thousands of Object Categories with Single-Example | training | |
Fine-grained Visual Classification via Progressive Multi-granularity | training | of Jigsaw Patches |
FireCaffe: Near-Linear Acceleration of Deep Neural Network | training | on Compute Clusters |
First aid to Cultural Heritage. | training | initiatives on rapid documentation |
Fitting 3D face models for tracking and active appearance model | training | |
Fixed-Point Back-Propagation | training | |
FLOAT: Fast Learnable Once-for-All Adversarial | training | for Tunable Trade-off between Accuracy and Robustness |
Focus and Align: Learning Tube Tokens for Video-Language Pre- | training | |
Foot Contact Detection for Sprint | training | |
Foot Contact Timings and Step Length for Sprint | training | |
Forecast-MAE: Self-supervised Pre- | training | for Motion Forecasting with Masked Autoencoders |
Forward Compatible | training | for Large-Scale Embedding Retrieval Systems |
Frame-Wise Action Recognition | training | Framework for Skeleton-Based Anomaly Behavior Detection |
Framewise and CTC | training | of Neural Networks for handwriting recognition |
framework for automatically constructing a dataset for | training | a vehicle detector, A |
Framework for Jointly | training | GAN with Person Re-identification Model, A |
framework for learning to recognize and segment object classes using weakly supervised | training | data, A |
Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of | training | Samples, A |
Free | training | object detection based on multi-stage fusion using belief functions |
FreeDoM: | training | -Free Energy-Guided Conditional Diffusion Model |
FreeREA: | training | -Free Evolution-based Architecture Search |
From a Serious | training | Simulator for Ship Maneuvering to an Entertainment Simulator |
From Keypoints to Object Landmarks via Self- | training | Correspondence: A Novel Approach to Unsupervised Landmark Discovery |
From Label Maps to Label Strokes: Semantic Segmentation for Street Scenes from Incomplete | training | Data |
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re- | training | |
FTL: A Universal Framework for | training | Low-bit DNNs via Feature Transfer |
Full-Body Portable Virtual Reality for Personal Protective Equipment | training | |
Fully synthetic | training | for image restoration tasks |
Further results on the effect of intraclass correlation among | training | samples in discriminant analysis |
Fusing length and voicing information, and HMM decision using a Bayesian causal tree against insufficient | training | data |
Fusion-Based Semantic Segmentation Using Deep Learning Architecture in Case of Very Small | training | Dataset |
FuturePose - Mixed Reality Martial Arts | training | Using Real-Time 3D Human Pose Forecasting With a RGB Camera |
Fuzzy Logic Based Satellite Image Classification: Generation of Fuzzy Membership Function and Rule from | training | Set |
Fuzzy Logic to Evaluate Driving Maneuvers: An Integrated Approach to Improve | training | |
GA based feature generation for | training | cascade object detector |
GAN-based Synthesis of Deep Learning | training | Data for UAV Monitoring |
GANomaly: Semi-supervised Anomaly Detection via Adversarial | training | |
GCT: Graph Co- | training | for Semi-Supervised Few-Shot Learning |
GD-MAE: Generative Decoder for MAE Pre- | training | on LiDAR Point Clouds |
Gender Recognition Using a Gaze-Guided Self-Attention Mechanism Robust Against Background Bias in | training | Samples |
general method for | training | the committee machine, A |
general model for finite-sample effects in | training | and testing of competing classifiers, A |
General Regret Bound of Preconditioned Gradient Method for DNN | training | , A |
General Scheme for | training | and Optimization of the Grenander Deformable Template Model, A |
Generalizable Local Feature Pre- | training | for Deformable Shape Analysis |
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self- | training | |
Generalizing AUC Optimization to Multiclass Classification for Audio Segmentation With Limited | training | Data |
Generating Paired Seismic | training | Data with Cycle-Consistent Adversarial Networks |
Generating Physically Sound | training | Data for Image Recognition of Additively Manufactured Parts |
Generating Positive Bounding Boxes for Balanced | training | of Object Detectors |
Generation of new points for | training | set and feature-level fusion in multimodal biometric identification |
Generation of synthetic | training | data for an HMM-based handwriting recognition system |
Generation of synthetic | training | data for handwritten Indic script recognition |
Generation of | training | Data by Degradation Models for Traffic Sign Symbol Recognition |
Generative Adversarial Network Using Weighted Loss Map and Regional Fusion | training | for LDR-to-HDR Image Conversion |
Generative Adversarial | training | for Weakly Supervised Cloud Matting |
Generative Models for License Plate Recognition by using a Limited Number of | training | Samples |
Generatively Inferential Co- | training | for Unsupervised Domain Adaptation |
Genetic Approach to | training | Support Vector Data Descriptors for Background Modeling in Video Data, A |
GeoLayoutLM: Geometric Pre- | training | for Visual Information Extraction |
GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre- | training | |
Geomatics In the Management of Built Heritage Through BIM Systems. The | training | of New Experienced Professional Figures |
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre- | training | |
Geometry-Aware Self- | training | for Unsupervised Domain Adaptation on Object Point Clouds |
Geospatial Google Street View with Virtual Reality: A Motivational Approach for Spatial | training | Education |
GIS-Based Landslide Susceptibility Mapping and Variable Importance Analysis Using Artificial Intelligent | training | -Based Methods, A |
GIST and RIST of Iterative Self- | training | for Semi-Supervised Segmentation, The |
GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre- | training | Methods |
Global Optimality in Neural Network | training | |
Global | training | of Document Processing Systems Using Graph Transformer Networks |
GMM Supervectors for Limited | training | Data in Hyperspectral Remote Sensing Image Classification |
GPU-Based Fast | training | of Discriminative Learning Quadratic Discriminant Function for Handwritten Chinese Character Recognition |
Gradient Deconfliction-Based | training | For Multi-Exit Architectures |
Gradual Domain Adaptation with Pseudo-Label Denoising for SAR Target Recognition When Using Only Synthetic Data for | training | |
Graphical Speech | training | system for hearing impaired |
Gray-Box Adversarial | training | |
Greedy Algorithm for a | training | Set Reduction in the Kernel Methods |
GridToPix: | training | Embodied Agents with Minimal Supervision |
GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre- | training | |
Grounded Entity-Landmark Adaptive Pre- | training | for Vision-and-Language Navigation |
Grounded Language-Image Pre- | training | |
Group DETR: Fast DETR | training | with Group-Wise One-to-Many Assignment |
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre- | training | |
Guided co- | training | for multi-view spectral clustering |
Guided Collaborative | training | for Pixel-Wise Semi-Supervised Learning |
HAIC-NET: Semi-supervised OCTA vessel segmentation with self-supervised pretext task and dual consistency | training | |
Hand gesture recognition: self-organising maps as a graphical user interface for the partitioning of large | training | data sets |
Hand pose estimation using support vector machines with evolutionary | training | |
Hand posture recognition with co- | training | |
Handwritten Digit Recognition by Neural Networks with Single-Layer | training | |
Handwritten Numeral String Recognition: Character-Level vs. String-Level Classifier | training | |
Haptic Needle Manipulation Simulator For Chinese Acupuncture Learning And | training | , A |
Hardness Sampling for Self- | training | Based Transductive Zero-Shot Learning |
Help- | training | for semi-supervised discriminative classifiers. Application to SVM |
Help- | training | for semi-supervised support vector machines |
Heter-Train: A Distributed | training | Framework Based on Semi-Asynchronous Parallel Mechanism for Heterogeneous Intelligent Transportation Systems |
Hidden Markov model-based multi-modal image fusion with efficient | training | |
Hierarchical Average Precision | training | for Pertinent Image Retrieval |
Hierarchical Graph V-Net With Semi-Supervised Pre- | training | for Histological Image Based Breast Cancer Classification, A |
Hierarchical Hand Gesture Recognition Framework for Sports Referee | training | -Based EMG and Accelerometer Sensors, A |
Hierarchical Support Vector Random Fields: Joint | training | to Combine Local and Global Features |
hierarchical | training | and identification method using Gaussian process models for face recognition in videos, A |
Hierarchical | training | for Distributed Deep Learning Based on Multimedia Data over Band-Limited Networks |
Hierarchical | training | for Large Scale Face Recognition with Few Samples Per Subject |
High | training | set size reduction by space partitioning and prototype abstraction |
High-accuracy continuous mapping of surface water dynamics using automatic update of | training | samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China |
High-performance on-road vehicle detection with non-biased cascade classifier by weight-balanced | training | |
High-Performance Spectral-Spatial Residual Network for Hyperspectral Image Classification with Small | training | Data, A |
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 Image Dehazing with Respect to | training | Losses and Receptive Field Sizes |
Highway Network Block with Gates Constraints for | training | Very Deep Networks |
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by | training | with Crafted Input Noise |
Histogram-Based | training | Initialisation of Hidden Markov Models for Human Action Recognition |
HiTeA: Hierarchical Temporal-Aware Video-Language Pre- | training | |
HiVLP: Hierarchical Interactive Video-Language Pre- | training | |
HMM-based handwritten word recognition: on the optimization of the number of states, | training | iterations and Gaussian components |
Holistic Evaluation of Task View Format for | training | a Simulated Robot-Assisted EOD Task, A |
HOLODIFFUSION: | training | a 3D Diffusion Model Using 2D Images |
HOP+: History-Enhanced and Order-Aware Pre- | training | for Vision-and-Language Navigation |
How Does Lipschitz Regularization Influence GAN | training | ? |
How much | training | data for facial action unit detection? |
How Realistic Should Synthetic Images Be for | training | Crowd Counting Models? |
How to Prevent the Continuous Damage of Noises to Model | training | ? |
HUD | training | and Extended Reality Solutions |
Human action recognition in drone videos using a few aerial | training | examples |
Hybrid Consistency | training | with Prototype Adaptation for Few-Shot Learning |
Hybrid Data Balancing Method for Classification of Imbalanced | training | Data within Google Earth Engine: Case Studies from Mountainous Regions, A |
Hybrid generative-discriminative | training | of Gaussian mixture models |
Hybrid Parallel Cascade Classifier | training | for Object Detection |
Hybrid Post- | training | Quantization for Super-Resolution Neural Network Compression |
hybrid | training | approach for leaf area index estimation via Cubist and random forests machine-learning, A |
Hybrid | training | of Denoising Networks to Improve the Texture Acutance of Digital Cameras |
Hyperspectral Image Classification With Small | training | Sample Size Using Superpixel-Guided Training Sample Enlargement |
Hyperspectral Image Classification With Small | training | Sample Size Using Superpixel-Guided Training Sample Enlargement |
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre- | training | for Visual Recognition |
Identification of Expert Tower Controller Visual Scanning Patterns in Support of the Development of Automated | training | Tools |
Identification of Widely Linear Systems Using Data-Dependent Superimposed | training | |
Identifying Good | training | Data for Self-Supervised Free Space Estimation |
Identifying relevant frames in weakly labeled videos for | training | concept detectors |
If We Did Not Have ImageNet: Comparison of Fisher Encodings and Convolutional Neural Networks on Limited | training | Data |
Illumination Adaptive Person REID Based on Teacher-Student Model and Adversarial | training | |
Illumination Invariant Efficient Face Recognition Using a Single | training | Image |
ImaGAN: Unsupervised | training | of Conditional Joint CycleGAN for Transferring Style with Core Structures in Content Preserved |
Image coding using transform vector quantization with | training | set synthesis |
Image Identification Using the Segmented Fourier Transform and Competitive | training | in the Havnet Neural Network |
Image Inpainting with Cascaded Modulation GAN and Object-Aware | training | |
Image Shape Manipulation from a Single Augmented | training | Sample |
Image-Processing Technique for Suppressing Ribs in Chest Radiographs by Means of Massive | training | Artificial Neural Network (MTANN) |
Image-Text Pre- | training | for Logo Recognition |
IMEVR: An MVC Framework for Military | training | VR Simulators |
Immersive Gatekeeper | training | System for Suicide Prevention in HMD Based Virtual Environments |
Immersive Haptic Eye Tele-Surgery | training | Simulation |
Immersive Simulator for Fluvial Combat | training | |
Impact of Foveated Rendering on Procedural Task | training | |
Impact of Instructional Strategies on Workload, Stress, and Flow in Simulation-Based | training | for Behavior Cue Analysis |
Impact of Large | training | Sets on the Recognition Rate of Offline Japanese Kanji Character Classifiers, The |
Impact of Racial Distribution in | training | Data on Face Recognition Bias: A Closer Look, The |
Impact of | training | Set Configurations for Differentiating Plantation Forest Genera with Sentinel-2 Imagery and Machine Learning |
Impact of | training | Set Size and Lead Time on Early Tomato Crop Mapping Accuracy |
Improve conditional adversarial domain adaptation using self- | training | |
Improved Adversarial | training | via Learned Optimizer |
Improved anomaly detection by | training | an autoencoder with skip connections on images corrupted with Stain-shaped noise |
Improved deep convolutional embedded clustering with re-selectable sample | training | |
Improved Estimation of Regional Fractional Woody/Herbaceous Cover Using Combined Satellite Data and High-Quality | training | Samples, An |
improved incremental | training | algorithm for support vector machines using active query, An |
Improved Knowledge Distillation for | training | Fast Low Resolution Face Recognition Model |
Improved Knowledge Transfer for Semi-supervised Domain Adaptation via Trico | training | Strategy |
Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated | training | samples |
Improved Model Architecture and | training | Phase in an Off-Line HMM-Based Word Recognition System |
Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical | training | Tasks, An |
Improved Neural Network | training | Algorithm for Wi-Fi Fingerprinting Positioning, An |
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task | training | with Self-Supervised Depth Estimation |
Improved Performance Measures for Video Quality Assessment Algorithms Using | training | and Validation Sets |
Improved Techniques for | training | Adaptive Deep Networks |
Improved Techniques for | training | Single-Image GANs |
Improved | training | for 3D Point Cloud Classification |
Improved | training | of Generative Adversarial Networks Using Decision Forests |
Improvement in design and | training | of feature pyramid network for contour refinement |
Improvement of a Traffic Sign Detector by Retrospective Gathering of | training | Samples from In-Vehicle Camera Image Sequences |
Improving Autoencoder | training | Performance for Hyperspectral Unmixing with Network Reinitialisation |
Improving Chinese/English OCR performance by using MCE-based character-pair modeling and negative | training | |
Improving classification rates by modelling the clusters of | training | s sets in features space using mathematical morphology operators |
Improving face gender classification by adding deliberately misaligned faces to the | training | data |
Improving Filling Level Classification with Adversarial | training | |
Improving Fractal Pre- | training | |
Improving Generalization of Adversarial | training | via Robust Critical Fine-Tuning |
Improving mix-and-separate | training | in audio-visual sound source separation with an object prior |
Improving Neural Network Efficiency via Post- | training | Quantization with Adaptive Floating-Point |
Improving Object Detection with Selective Self-supervised Self- | training | |
Improving Out-of-Distribution Generalization in SAR Image Scene Classification with Limited | training | Samples |
Improving Performance of Network Traffic Classification Systems by Cleaning | training | Data |
Improving person detection using synthetic | training | data |
Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch | training | |
Improving pollen classification with less | training | effort |
Improving Pre- | training | and Fine-Tuning for Few-Shot SAR Automatic Target Recognition |
Improving Remote Species Identification through Efficient | training | Data Collection |
Improving Robustness of DNNs against Common Corruptions via Gaussian Adversarial | training | |
Improving Satellite Image Fusion via Generative Adversarial | training | |
Improving Seismic Fault Recognition with Self-Supervised Pre- | training | : A Study of 3D Transformer-Based with Multi-Scale Decoding and Fusion |
Improving Semantic Segmentation via Efficient Self- | training | |
Improving the Accuracy of Land Cover Mapping by Distributing | training | Samples |
Improving the affordability of robustness | training | for DNNs |
Improving the characterization of the alternative hypothesis via minimum verification error | training | with applications to speaker verification |
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal | training | |
Improving the Post- | training | Neural Network Quantization by Prepositive Feature Quantization |
Improving the Quality of Video-to-Language Models by Optimizing Annotation of the | training | Material |
Improving the Robustness of Deep Neural Networks via Stability | training | |
Improving | training | Instance Quality in Aerial Image Object Detection With a Sampling-Balance-Based Multistage Network |
Improving | training | of Deep Neural Networks via Singular Value Bounding |
Improving Urban Land Cover/Use Mapping by Integrating A Hybrid Convolutional Neural Network and An Automatic | training | Sample Expanding Strategy |
In Defense of Image Pre- | training | for Spatiotemporal Recognition |
In-Hindsight Quantization Range Estimation for Quantized | training | |
In-place Activated BatchNorm for Memory-Optimized | training | of DNNs |
Incorporating EEG and EMG Patterns to Evaluate BCI-Based Long-Term Motor | training | |
Incorporating Mixed Pixels in the | training | , Allocation and Testing Stages of Supervised Classifications |
Increasing | training | Stability for Deep CNNS |
Increasing Video Saliency Model Generalizability by | training | for Smooth Pursuit Prediction |
Incremental augmented complex adaptive IIR algorithm for | training | widely linear ARMA model |
Incremental Learning of Object Detector with Limited | training | Data |
Incremental | training | for Face Recognition |
Incremental | training | of a Detector Using Online Sparse Eigendecomposition |
Incremental | training | of Face Morphing Detectors |
Incremental | training | of Multiclass Support Vector Machines |
Incremental | training | of support vector machines using hyperspheres |
Indirect Adversarial Losses via an Intermediate Distribution for | training | GANs |
Inducing Data Amplification Using Auxiliary Datasets in Adversarial | training | |
influence of BRDF effects and representativeness of | training | data on tree species classification using multi-flightline airborne hyperspectral imagery, The |
Influence of Point Cloud Accuracy from Image Matching on Automatic Preparation of | training | Datasets for Object Detection in UAV Images, The |
Initial | training | Set Generation Scheme, An |
Initialization Using Perlin Noise for | training | Networks with a Limited Amount of Data |
Innovative Two-Stage Radar Detection Architectures in Adverse Scenarios Using Two | training | Data Sets |
Instance Adaptive Self- | training | for Unsupervised Domain Adaptation |
Instance Image Retrieval with Generative Adversarial | training | |
Instructional, | training | Videos, How To, Teach Machine How |
Integer-valued problems of transforming the | training | tables in k-valued code in pattern recognition problems |
Integrated APC-GAN and AttuNet Framework for Automated Pavement Crack Pixel-Level Segmentation: A New Solution to Small | training | Datasets |
Integrating Concept Ontology and Multitask Learning to Achieve More Effective Classifier | training | for Multilevel Image Annotation |
Intelligent Document Processing with Small and Relevant | training | Dataset |
Intelligent Thermal Sensing System for Automatic, Quantitative Assessment of Motion | training | in Lower-Limb Rehabilitation, An |
Intelligent trainee behavior assessment system for medical | training | employing video analysis |
Intelligent Virtual Standard Patient for Medical Students | training | Based on Oral Knowledge Graph, An |
Inter-Observer Consistent Deep Adversarial | training | for Visual Scanpath Prediction, An |
Interactive classification of lung tissue in CT scans by combining prior and interactively obtained | training | data: A simulation study |
Interactive collection of | training | samples from the Max-Tree structure |
Interactive Lapidarium: Opportunities for Research and | training | |
Interactive Self- | training | with Mean Teachers for Semi-supervised Object Detection |
Interactive Sonification in Rowing: Acoustic Feedback for On-Water | training | |
Interactive | training | System Design for Ankle Rehabilitation, An |
Interleaved | training | for Intelligent Surface-Assisted Wireless Communications |
Interpolated Joint Space Adversarial | training | for Robust and Generalizable Defenses |
Interpretability-guided Human Feedback During Neural Network | training | |
Interspace Pruning: Using Adaptive Filter Representations to Improve | training | of Sparse CNNs |
Intra-Class Variation Reduction Using | training | Expression Images for Sparse Representation Based Facial Expression Recognition |
Introducing Diversity In Feature Scatter Adversarial | training | Via Synthesis |
Invariance encoding in sliced-Wasserstein space for image classification with limited | training | data |
Invariant | training | 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition |
Investigating Catastrophic Overfitting in Fast Adversarial | training | : A Self-fitting Perspective |
Investigating Low-Cost Virtual Reality Technologies in the Context of an Immersive Maintenance | training | Application |
Investigating Neural Network | training | on a Feature Level Using Conditional Independence |
Investigation of Sensitivity of SVM Classifier Respect to the Number of Fetures and the Number of | training | Samples, The |
irrelevant variability normalization approach to discriminative | training | of multi-prototype based classifiers and its applications for online handwritten Chinese character recognition, An |
Irrelevant Variability Normalization Based Discriminative | training | Approach for Online Handwritten Chinese Character Recognition, An |
Is Heuristic Sampling Necessary in | training | Deep Object Detectors? |
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase | training | |
Is This Person Real? Avatar Stylization and Its Influence on Human Perception in a Counseling | training | Environment |
Isolation Forests to Evaluate Class Separability and the Representativeness of | training | and Validation Areas in Land Cover Classification |
Iterative Co- | training | Transductive Framework for Zero Shot Learning, An |
Iterative Label Improvement: Robust | training | by Confidence Based Filtering and Dataset Partitioning |
Iterative Signal Detection and Channel Estimation with Superimposed | training | Sequences for Underwater Acoustic Information Transmission in Time-Varying Environments |
Iterative | training | of Discriminative Models for the Generalized Hough Transform |
Iterative | training | of Neural Networks for Intra Prediction |
Iterative | training | Sample Expansion to Increase and Balance the Accuracy of Land Classification From VHR Imagery |
Iterative | training | Sampling Coupled With Active Learning for Semisupervised Spectral-Spatial Hyperspectral Image Classification |
JackVR: A Virtual Reality | training | System for Landing Oil Rigs |
JEM++: Improved Techniques for | training | JEM |
Joint A-SNN: Joint | training | of artificial and spiking neural networks via self-Distillation and weight factorization |
Joint Denoising and Super-Resolution via Generative Adversarial | training | |
Joint Feature and Classifier Design for OCR Based on a Small | training | Set |
Joint I/Q imbalances estimation using data-dependent superimposed | training | |
Joint Optimization of Class-Specific | training | - and Test-Time Data Augmentation in Segmentation |
Joint | training | of Cascaded CNN for Face Detection |
Joint | training | of conditional random fields and neural networks for stroke classification in online handwritten documents |
Joint | training | of Generic CNN-CRF Models with Stochastic Optimization |
Joint | training | of Variational Auto-Encoder and Latent Energy-Based Model |
Jointly Optimize Data Augmentation and Network | training | : Adversarial Data Augmentation in Human Pose Estimation |
K-L Expansion as an Effective Feature Ordering Technique for Limited | training | Sample Size, The |
Kaleido-BERT: Vision-Language Pre- | training | on Fashion Domain |
Kernel Bisecting k-means clustering for SVM | training | sample reduction |
Kernel Modulation: A Parameter-Efficient Method for | training | Convolutional Neural Networks |
Keyword spotting for self- | training | of BLSTM NN based handwriting recognition systems |
Killing Two Birds with One Stone: Efficient and Robust | training | of Face Recognition CNNs by Partial FC |
Knowledge Distillation as Efficient Pre- | training | : Faster Convergence, Higher Data-efficiency, and Better Transferability |
Knowledge Distillation for Low-Power Object Detection: A Simple Technique and Its Extensions for | training | Compact Models Using Unlabeled Data |
Knowledge-Based Approach for Script Recognition Without | training | , A |
Knowledge-Guided Blind Image Quality Assessment With Few | training | Samples |
L2-GCN: Layer-Wise and Learned Efficient | training | of Graph Convolutional Networks |
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN | training | |
l8-Robustness and Beyond: Unleashing Efficient Adversarial | training | |
label noise tolerant random forest for the classification of remote sensing data based on outdated maps for | training | , A |
Label-Guided Auxiliary | training | Improves 3D Object Detector |
Landmark Regularization: Ranking Guided Super-Net | training | in Neural Architecture Search |
Landsat Super-Resolution Enhancement Using Convolution Neural Networks and Sentinel-2 for | training | |
Language Matters: A Weakly Supervised Vision-Language Pre- | training | Approach for Scene Text Detection and Spotting |
Language-free | training | for Zero-shot Video Grounding |
Large Batch Optimization for Object Detection: | training | Coco in 12 minutes |
Large Tree Classifier with Heuristic Search and Global | training | |
Large-Scale Concept Detection in Multimedia Data Using Small | training | Sets and Cross-Domain Concept Fusion |
Large-scale image classification: Fast feature extraction and SVM | training | |
Large-Scale Live Active Learning: | training | Object Detectors with Crawled Data and Crowds |
Large-Scale Multiclass Support Vector Machine | training | via Euclidean Projection onto the Simplex |
Large-Scale Pre- | training | for Person Re-identification with Noisy Labels |
Large-scale | training | Data Search for Object Re-identification |
Large-Scale | training | of Shadow Detectors with Noisily-Annotated Shadow Examples |
Large-Scale Weakly-Supervised Pre- | training | for Video Action Recognition |
LAS-AT: Adversarial | training | with Learnable Attack Strategy |
LATEST: Local AdapTivE and Sequential | training | for Tissue Segmentation of Isointense Infant Brain MR Images |
Layer-Wise Invertibility for Extreme Memory Cost Reduction of CNN | training | |
Learnable Boundary Guided Adversarial | training | |
Learning 3D Object Recognition from an Unlabelled and Unordered | training | Set |
Learning a geometry integrated image appearance manifold from a small | training | set |
Learning by Association: A Versatile Semi-Supervised | training | Method for Neural Networks |
Learning by Hallucinating: Vision-Language Pre- | training | with Weak Supervision |
Learning Causal Representation for | training | Cross-Domain Pose Estimator via Generative Interventions |
Learning Compact Multifeature Codes for Palmprint Recognition From a Single | training | Image per Palm |
Learning Deformable Image Registration From Optimization: Perspective, Modules, Bilevel | training | and Beyond |
Learning Energy-Based Models with Adversarial | training | |
Learning face recognition from limited | training | data using deep neural networks |
Learning From a Small Number of | training | Examples by Exploiting Object Categories |
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 Noisy Labels via Discrepant Collaborative | training | |
Learning from Simulated and Unsupervised Images through Adversarial | training | |
Learning From Synthetic CT Images via Test-Time | training | for Liver Tumor Segmentation |
Learning Generative Visual Models from Few | training | Examples: An Incremental Bayesian Approach Tested on 101 Object Categories |
Learning How to MIMIC: Using Model Explanations to Guide Deep Learning | training | |
Learning Image Transformations without | training | Examples |
Learning Image-to-Image Translation Using Paired and Unpaired | training | Samples |
Learning Not to Learn: | training | Deep Neural Networks With Biased Data |
Learning of a robusted nearest neighbor classifier using multiple | training | data |
Learning Outdoor Color Classification from Just One | training | Image |
Learning people detection models from few | training | samples |
Learning Privacy Preserving Encodings Through Adversarial | training | |
Learning Structure and Strength of CNN Filters for Small Sample Size | training | |
Learning to Generate 3D | training | Data Through Hybrid Gradient |
Learning to Navigate Robotic Wheelchairs from Demonstration: Is | training | in Simulation Viable? |
Learning to Prune in | training | via Dynamic Channel Propagation |
Learning to Rank Image Tags With Limited | training | Examples |
Learning to Read L'Infinito: Handwritten Text Recognition with Synthetic | training | Data |
Learning | training | Samples for Occlusion Edge Detection and Its Application in Depth Ordering Inference |
Learning upper patch attention using dual-branch | training | strategy for masked face recognition |
Learning using distance based | training | algorithm for pattern recognition |
Learning Vector Quantization with | training | Data Selection |
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre- | training | |
Learning With Average Precision: | training | Image Retrieval With a Listwise Loss |
Learning-Based Shadow Detection in Aerial Imagery Using Automatic | training | Supervision from 3D Point Clouds |
Learnt Deep Hyperparameter Selection in Adversarial | training | for Compressed Video Enhancement with a Perceptual Critic |
Leave-One-Out- | training | and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: The Implications of a Single Classifier and Multiple Classifications |
Leveraging Efficient | training | and Feature Fusion in Transformers for Multimodal Classification |
Leveraging per Image-Token Consistency for Vision-Language Pre- | training | |
Leveraging Regular Fundus Images for | training | UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling |
Leveraging Self-supervised | training | for Unintentional Action Recognition |
LexLIP: Lexicon-Bottlenecked Language-Image Pre- | training | for Large-Scale Image-Text Sparse Retrieval |
Lift3D: Synthesize 3D | training | Data by Lifting 2D GAN to 3D Generative Radiance Field |
Light Field Synthesis by | training | Deep Network in the Refocused Image Domain |
Lightweight 3D Human Pose Estimation Network | training | Using Teacher-Student Learning |
Lightweight Whole-Body Human Pose Estimation With Two-Stage Refinement | training | Strategy |
Linear classifiers by window | training | and basis exchange |
LKBQ: Pushing the Limit of Post- | training | Quantization to Extreme 1 bit |
Local Convolutional Features with Unsupervised | training | for Image Retrieval |
Local to Global Learning: Gradually Adding Classes for | training | Deep Neural Networks |
Locally Accumulated Adam For Distributed | training | With Sparse Updates |
LocVTP: Video-Text Pre- | training | for Temporal Localization |
Long-Tailed Multi-Label Visual Recognition by Collaborative | training | on Uniform and Re-balanced Samplings |
Look at Adjacent Frames: Video Anomaly Detection Without Offline | training | |
Looking beyond appearances: Synthetic | training | data for deep CNNs in re-identification |
Loss-Specific | training | of Non-Parametric Image Restoration Models: A New State of the Art |
Lossy and Lossless (L2) Post- | training | Model Size Compression |
Lottery Tickets Hypothesis for Supervised and Self-supervised Pre- | training | in Computer Vision Models, The |
Low Curvature Activations Reduce Overfitting in Adversarial | training | |
Low Rank Language Models for Small | training | Sets |
Low | training | Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients |
Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised | training | Data |
Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose | training | Database |
Low-Lightgan: Low-Light Enhancement Via Advanced Generative Adversarial Network With Task-Driven | training | |
LOW: | training | deep neural networks by learning optimal sample weights |
LPCL: Localized prominence contrastive learning for self-supervised dense visual pre- | training | |
Lying-pose detection with | training | dataset expansion |
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre- | training | |
Machine Intelligence Approach to Virtual Ballet | training | , A |
Machine | training | and parameter settings with social emotional optimization algorithm for support vector machine |
Machine-Assisted Human Classification of Segmented Characters for OCR Testing and | training | |
Machine-Learning Classification of SAR Remotely-Sensed Sea-Surface Petroleum Signatures: Part 1: | training | and Testing Cross Validation |
MaGAT: Mask-Guided Adversarial | training | for Defending Face Editing GAN Models From Proactive Defense |
Making History Matter: History-Advantage Sequence | training | for Visual Dialog |
Map of Land Cover Agreement: Ensambling Existing Datasets for Large-Scale | training | Data Provision |
MAP: Multimodal Uncertainty-Aware Vision-Language Pre- | training | Model |
MAPACo- | training | : A Novel Online Learning Algorithm of Behavior Models |
Mapping and Monitoring Fractional Woody Vegetation Cover in the Arid Savannas of Namibia Using LiDAR | training | Data, Machine Learning, and ALOS PALSAR Data |
Mapping irrigated cropland extent across the conterminous United States at 30?m resolution using a semi-automatic | training | approach on Google Earth Engine |
Mapping Typical Urban LULC from Landsat Imagery without | training | Samples or Self-Defined Parameters |
Margin Losses for | training | Conditional Random Fields |
MARRS: Modern Backbones Assisted Co- | training | for Rapid and Robust Semi-Supervised Domain Adaptation |
Masked Autoencoder for Self-Supervised Pre- | training | on Lidar Point Clouds |
Masked Feature Prediction for Self-Supervised Visual Pre- | training | |
Masked Image | training | for Generalizable Deep Image Denoising |
Massive- | training | Artificial Neural Network Coupled With Laplacian-Eigenfunction-Based Dimensionality Reduction for Computer-Aided Detection of Polyps in CT Colonography |
Material Classification Based on | training | Data Synthesized Using a BTF Database |
Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous | training | Set |
Maximum Gaussianality | training | for deep speaker vector normalization |
Maximum Likelihood | training | of the Embedded HMM for Face Detection and Recognition |
Maximum Margin | training | of Gaussian HMMs for Handwriting Recognition |
Maximum mutual information | training | for an online neural predictive handwritten word recognition system |
MaxUp: Lightweight Adversarial | training | with Data Augmentation Improves Neural Network Training |
MaxUp: Lightweight Adversarial | training | with Data Augmentation Improves Neural Network Training |
mc-BEiT: Multi-choice Discretization for Image BERT Pre- | training | |
MedKLIP: Medical Knowledge Enhanced Language-Image Pre- | training | for X-ray Diagnosis |
MEGL: Multi-Experts Guided Learning Network for Single Camera | training | Person Re-Identification |
MemBridge: Video-Language Pre- | training | With Memory-Augmented Inter-Modality Bridge |
Memetic Evolution of | training | Sets with Adaptive Radial Basis Kernels for Support Vector Machines |
Meta-Based Self- | training | and Re-Weighting for Aspect-Based Sentiment Analysis |
Meta-GF: | training | Dynamic-Depth Neural Networks Harmoniously |
Meta-learning-based adversarial | training | for deep 3D face recognition on point clouds |
Meta-prototype Decoupled | training | for Long-tailed Learning |
Meta-tag propagation by co- | training | an ensemble classifier for improving image search relevance |
MetalGAN: A Cluster-Based Adaptive | training | for Few-Shot Adversarial Colorization |
Metaverse-Based Teaching Building Evacuation | training | System With Deep Reinforcement Learning, A |
Method and apparatus for | training | a neural network to detect objects in an image |
Method and apparatus for | training | a neural network to learn hierarchical representations of objects and to detect and classify objects with uncertain training data |
Method and apparatus for | training | a neural network to learn hierarchical representations of objects and to detect and classify objects with uncertain training data |
Method for Obtaining Neural Network | training | Sets in Video Sequences, A |
method of anomaly detection and fault diagnosis with online adaptive learning under small | training | samples, A |
Methods of Artificial Enlargement of the | training | Set for Statistical Shape Models |
Metric learning by directly minimizing the k-NN | training | error |
MGGAN: Solving Mode Collapse Using Manifold-Guided | training | |
migration of | training | samples towards dynamic global land cover mapping, The |
MILES: Visual BERT Pre- | training | with Injected Language Semantics for Video-Text Retrieval |
Minimal Hough Forest | training | for pattern detection |
Minimal | training | , Large Lexicon, Unconstrained Sign Language Recognition |
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware | training | |
Minimizing | training | Data for Reliable Writer Identification in Medieval Manuscripts |
Minimum classification error | training | for handwritten character recognition |
Minimum Classification Error | training | for Online Handwriting Recognition |
Minimum classification error | training | for online handwritten word recognition |
Minimum Error Discriminative | training | for Radical-Based Online Chinese Handwriting Recognition |
Minimum Error Rate | training | for PHMM-Based Text Recognition |
Minimum Error-Rate | training | in Statistical Machine Translation Using Structural SVMs |
Minimum Risk | training | for Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields |
Minimum-risk | training | for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition |
Mining Data Impressions From Deep Models as Substitute for the Unavailable | training | Data |
MIST: Multiple Instance Self- | training | Framework for Video Anomaly Detection |
MixCycle: Unsupervised Speech Separation via Cyclic Mixture Permutation Invariant | training | |
Mixed Reality Technology Capabilities for Combat-Casualty Handoff | training | |
Mixed Reality | training | of Military Tasks: Comparison of Two Approaches Through Reactions from Subject Matter Experts |
Mixed-Domain | training | Improves Multi-Mission Terrain Segmentation |
Mixup Asymmetric Tri- | training | for Heartbeat Classification Under Domain Shift |
Mnemonics | training | : Multi-Class Incremental Learning Without Forgetting |
Modality Converting Approach for Image Annotation to Overcome the Inconsistent Labels in | training | Data, A |
Modality fusion for object tracking with | training | system and method |
Modality-Independent Regression and | training | for Improving Multispectral Pedestrian Detection |
Mode-Switched Control Architecture for Human-in-the-Loop Teleoperation of Multislave Robots via Data- | training | -Based Observer, A |
Model Based | training | , Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes |
Model-Aware Pre- | training | for Radial Distortion Rectification |
Model-Blind Video Denoising via Frame-To-Frame | training | |
Models Matter, So Does | training | : An Empirical Study of CNNs for Optical Flow Estimation |
Modified support vector novelty detector using | training | data with outliers |
Modified Viola-Jones algorithm with GPU accelerated | training | and parallelized skin color filtering-based face detection |
Moment-based Adversarial | training | for Embodied Language Comprehension |
Morphological Perceptrons: Geometry and | training | Algorithms |
Motion-Augmented Self- | training | for Video Recognition at Smaller Scale |
MP-Polynomial Kernel for | training | Support Vector Machines |
Mr.BiQ: Post- | training | Non-Uniform Quantization based on Minimizing the Reconstruction Error |
MRM: Masked Relation Modeling for Medical Image Pre- | training | with Genetics |
MS-TDNN with global discriminant | training | s |
MSViT: | training | Multiscale Vision Transformers for Image Retrieval |
MTNet: Mutual tri- | training | network for unsupervised domain adaptation on person re-identification |
multi camera unsupervised domain adaptation pipeline for object detection in cultural sites through adversarial learning and self- | training | , A |
Multi-Cue Semi-Supervised Color Constancy With Limited | training | Samples |
Multi-Decoding Deraining Network and Quasi-Sparsity Based | training | |
multi-faceted CNN architecture for automatic classification of mobile LiDAR data and an algorithm to reproduce point cloud samples for enhanced | training | , A |
Multi-fold MIL | training | for Weakly Supervised Object Localization |
Multi-illumination Face Recognition from a Single | training | Image per Person with Sparse Representation |
Multi-Instance Classification by Max-Margin | training | of Cardinality-Based Markov Networks |
Multi-Level Curriculum for | training | A Distortion-Aware Barrel Distortion Rectification Model |
Multi-modal Masked Pre- | training | for Monocular Panoramic Depth Completion |
Multi-modal region selection approach for | training | object detectors |
Multi-node | training | for StyleGAN2 |
Multi-Objective Interpolation | training | for Robustness to Label Noise |
Multi-patch Learning: Looking More Pixels in the | training | Phase |
multi-plane block-coordinate frank-wolfe algorithm for | training | structural SVMs with a costly max-oracle, A |
Multi-procedural Virtual Reality Simulator for Orthopaedic | training | , A |
Multi-Scale Transformer Network With Edge-Aware Pre- | training | for Cross-Modality MR Image Synthesis |
Multi-task fully convolutional network for tree species mapping in dense forests using small | training | hyperspectral data |
Multi-Task Multi-Stage Transitional | training | Framework for Neural Chat Translation, A |
Multi-Task Paired Masking With Alignment Modeling for Medical Vision-Language Pre- | training | |
Multi-Task Self- | training | for Learning General Representations |
Multi-temporal Recurrent Neural Networks for Progressive Non-uniform Single Image Deblurring with Incremental Temporal | training | |
Multigrid Method for Efficiently | training | Video Models, A |
Multilevel | training | of Binary Morphological Operators |
Multimodal 3D visible articulation system for syllable based Mandarin Chinese | training | |
Multimodal Approach to Assess a Virtual Reality-based Surgical | training | Platform |
Multimodal Contrastive | training | for Visual Representation Learning |
Multimodal Dance | training | System based on Motion Analysis |
Multimodal Pre- | training | Based on Graph Attention Network for Document Understanding |
Multiobjective Genetic SVM Approach for Classification Problems With Limited | training | Samples, A |
Multiple Assessment for Multiple Users in Virtual Reality | training | Environments |
Multiple Classifiers Based Adversarial | training | for Unsupervised Domain Adaptation |
Multiple Document Datasets Pre- | training | Improves Text Line Detection With Deep Neural Networks |
Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain | training | Data |
Multiple Transfer Learning and Multi-label Balanced | training | Strategies for Facial AU Detection In the Wild |
Multiplicative update rules for incremental | training | of multiclass support vector machines |
Multiresolution Threshold Selection Method Based on | training | , A |
Multisensor Interface to Improve the Learning Experience in Arc Welding | training | Tasks, A |
Mutual calibration | training | : Training deep neural networks with noisy labels using dual-models |
Mutual calibration | training | : Training deep neural networks with noisy labels using dual-models |
Mutually Attentive Co- | training | Framework for Semi-Supervised Recognition, A |
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre- | training | |
MVP: Multimodality-Guided Visual Pre- | training | |
Narrative structure analysis with education and | training | videos for e-learning |
Narrowing the Gap: Improved Detector | training | With Noisy Location Annotations |
Natural Interface for the | training | of Medical Personnel in an Immersive and Virtual Reality System, A |
Negative-Driven | training | Pipeline for Siamese Visual Tracking |
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network | training | and Architecture Optimization |
Network Expansion For Practical | training | Acceleration |
Neural Network Approach for Hand Gesture Recognition in Virtual Reality Driving | training | System of SPG, A |
Neural Network Ensembles from | training | Set Expansions |
Neural Network Panning: Screening the Optimal Sparse Network Before | training | |
Neural Network | training | for the Detection and Classification of Oceanic Mesoscale Eddies |
Neural network-based image quality comparator without collecting the human score for | training | |
Neural Rejuvenation: Improving Deep Network | training | by Enhancing Computational Resource Utilization |
Neural-Sim: Learning to Generate | training | Data with NeRF |
NeuralAnnot: Neural Annotator for 3D Human Mesh | training | Sets |
Neuralizer: General Neuroimage Analysis without Re- | training | |
Neurofeedback | training | With an Electroencephalogram-Based Brain-Computer Interface Enhances Emotion Regulation |
Neuromorphic Data Augmentation for | training | Spiking Neural Networks |
New Algorithm for | training | Multi-layered Morphological Networks, A |
New Algorithm for | training | SVMs Using Approximate Minimal Enclosing Balls, A |
New Approach for Wavelet Denoising Based on | training | , A |
new approach to | training | more interpretable model with additional segmentation, A |
New Backdoor Attack in CNNS by | training | Set Corruption Without Label Poisoning, A |
New Ensemble-Based Cascaded Framework for Multiclass | training | with Simple Weak Learners, A |
New Face Recognition Algorithm based on Dictionary Learning for a Single | training | Sample per Person, A |
new fast algorithm for effective | training | of neural classifiers, A |
new HMM | training | and testing scheme, A |
New Parallel | training | Algorithm for Optimum-Path Forest-Based Learning, A |
New rank methods for reducing the size of the | training | set using the nearest neighbor rule |
New Scheme for | training | Feedforward Neural Networks, A |
New Simplified Gravitational Clustering Method for Multi-prototype Learning Based on Minimum Classification Error | training | , A |
New | training | Method for Non-Dominant Hand Pitching Motion Based on Reversal Trajectory of Dominant Hand Pitching Motion Using AR and Vibration |
New | training | strategies for RBF neural networks for X-ray agricultural product inspection |
NMPTE: Network Multimedia Programming | training | Environment |
No Data Augmentation? Alternative Regularizations for Effective | training | on Small Datasets |
No Surprises: | training | Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks |
No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and | training | Techniques |
Node Selection Strategy in Space-Air-Ground Information Networks: A Double Deep Q-Network Based on the Federated Learning | training | Method, A |
Noise Conscious | training | of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising |
Noise Imitation Based Adversarial | training | for Robust Multimodal Sentiment Analysis |
Noise Robust | training | of Segmentation Model Using Knowledge Distillation |
Noise-Tolerant Paradigm for | training | Face Recognition CNNs |
Noisy Concurrent | training | for Efficient Learning under Label Noise |
NoisyQuant: Noisy Bias-Enhanced Post- | training | Activation Quantization for Vision Transformers |
Non-Contrastive Learning Meets Language-Image Pre- | training | |
Non-invasive Vision Based Approach to Velocity Measurement of Skeleton | training | , A |
Non-Iterative Optimization of Pseudo-Labeling Thresholds for | training | Object Detection Models from Multiple Datasets |
Non-uniform Step Size Quantization for Accurate Post- | training | Quantization |
Nonlinear single layer neural network | training | algorithm for incremental, nonstationary and distributed learning scenarios |
Nonparametric feature extraction for classification of hyperspectral images with limited | training | samples |
Nonparametric | training | of Snakes to Find Indistinct Boundaries |
NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise | training | |
Normalization Techniques in | training | DNNs: Methodology, Analysis and Application |
Normalized | training | for HMM-based Visual Speech Recognition |
Not All Labels Are Equal: Rationalizing The Labeling Costs for | training | Object Detection |
Novel Approach to the Unsupervised Extraction of Reliable | training | Samples From Thematic Products, A |
Novel CNN | training | Framework: Loss Transferring, A |
Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled | training | Samples, A |
novel multilayer neural networks | training | algorithm that minimizes the probability of classification error, A |
Novel Self-Supervised Re-labeling Approach for | training | with Noisy Labels, A |
novel spectral-spatial co- | training | algorithm for the transductive classification of hyperspectral imagery data, A |
Novel Style Takagi-Sugeno-Kang Fuzzy Classifier With Its Fast | training | on Style Data, A |
Novel Tri- | training | Technique for Semi-Supervised Classification of Hyperspectral Images Based on Diversity Measurement, A |
Novel Tri- | training | Technique for the Semi-Supervised Classification of Hyperspectral Images Based on Regularized Local Discriminant Embedding Feature Extraction, A |
NuWA: Visual Synthesis Pre- | training | for Neural visUal World creAtion |
Object and Gesture Recognition to Assist Children with Autism during the Discrimination | training | |
Object instance detection with pruned Alexnet and extended | training | data |
Object-aware Video-language Pre- | training | for Retrieval |
object-dependent hand pose prior from sparse | training | data, An |
Object-Driven Text-To-Image Synthesis via Adversarial | training | |
OCR with no Shape | training | |
Off-line handwritten textline recognition using a mixture of natural and synthetic | training | data |
Offline handwritten character recognition based on discriminative | training | of orthogonal Gaussian mixture model |
Offline signature verification with generated | training | samples |
Oil Processes VR | training | |
Oil Spill Detection with Multiscale Conditional Adversarial Networks with Small-Data | training | |
Old Is Gold: Redefining the Adversarially Learned One-Class Classifier | training | Paradigm |
Omni- | training | : Bridging Pre-Training and Meta-Training for Few-Shot Learning |
Omni- | training | : Bridging Pre-Training and Meta-Training for Few-Shot Learning |
Omni- | training | : Bridging Pre-Training and Meta-Training for Few-Shot Learning |
Omnidirectional Pedestrian Detection by Rotation Invariant | training | |
On Asymmetric Classifier | training | for Detector Cascades |
On Channel Reliability Measure | training | for Multi-Camera Face Recognition |
On Choosing | training | and Testing Data for Supervised Algorithms in Ground-Penetrating Radar Data for Buried Threat Detection |
On Data Augmentation for GAN | training | |
On Fast Sample Preselection for Speeding up Convolutional Neural Network | training | |
On linear programming, neural network design, pattern classification and polynomial time | training | |
On rendering synthetic images for | training | an object detector |
On solving the face recognition problem with one | training | sample per subject |
On Stabilizing Generative Adversarial | training | With Noise |
On the benefit of adversarial | training | for monocular depth estimation |
On the Choice of Data for Efficient | training | and Validation of End-to-End Driving Models |
On the Effectiveness of Synthetic Data Sets for | training | Person Re-identification Models |
On the Importance of | training | Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping |
On the influence of the | training | set data preprocessing on neural networks training |
On the influence of the | training | set data preprocessing on neural networks training |
On the Probabilistic-Interpretation of Neural-Network Classifiers and Discriminative | training | Criteria |
On the representation of | training | tables in a K-valued code and the construction of empirical regularities |
On the Robustness of Open-World Test-Time | training | : Self-Training with Dynamic Prototype Expansion |
On the Robustness of Open-World Test-Time | training | : Self-Training with Dynamic Prototype Expansion |
On the robustness of the equal-mean discrimination rule with uniform covariance structure against serially correlated | training | data |
On the | training | of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering |
On the | training | Patterns Pruning for Optimum-Path Forest |
On the use of small | training | sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images |
On | training | Gaussian Radial Basis Functions for Image Coding |
On | training | Sketch Recognizers for New Domains |
On | training | Speech Separation Models With Various Numbers of Speakers |
On | training | Traffic Predictors via Broad Learning Structures: A Benchmark Study |
On-line re- | training | and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging |
On-line re- | training | and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging |
On-the-fly hand detection | training | with application in egocentric action recognition |
On-the-Fly | training | |
Once Quantization-Aware | training | : High Performance Extremely Low-bit Architecture Search |
OnDA-DETR: Online Domain Adaptation for Detection Transformers with Self- | training | Framework |
One Size Does NOT Fit All: Data-Adaptive Adversarial | training | |
One Thing One Click: A Self- | training | Approach for Weakly Supervised 3D Semantic Segmentation |
One-bit Flip is All You Need: When Bit-flip Attack Meets Model | training | |
One-class Classification Criterion Robust to Anomalies in | training | Dataset |
One-Cycle Pruning: Pruning Convnets With Tight | training | Budget |
One-pass vector quantizer design by sequential pruning of the | training | data |
One-Vs-All | training | of Prototype Classifier for Pattern Classification and Retrieval |
Online Shape-Recognition with Incremental | training | Using Binary Synaptic Weights Algorithm |
Online | training | of object detectors from unlabeled surveillance video |
Online | training | of support vector classifier |
Open-Category Human-Object Interaction Pre- | training | via Language Modeling Framework |
Open-Contour Tracking Using a New State-Space Model and Nonrigid Motion | training | |
Optic disc segmentation in fundus images using adversarial | training | |
Optical Flow | training | Under Limited Label Budget via Active Learning |
Optical flow-based real-time object tracking using non-prior | training | active feature model |
Optimal face reconstruction using | training | |
Optimal | training | and Data Power Allocation in Distributed Detection With Inhomogeneous Sensors |
Optimal | training | Set Design for 3D Object Recognition |
Optimal | training | Set Selection for Video Annotation |
Optimisation-based | training | of evolutionary convolution neural network for visual classification applications |
Optimization of a | training | set for more robust face detection |
Optimization-based methodology for | training | set selection to synthesize composite correlation filters for face recognition |
Optimization-Based Post- | training | Quantization With Bit-Split and Stitching |
Optimizing Performance Outcomes for Emergency Management Personnel Through Simulation Based | training | Applications |
Optimizing selection of | training | and auxiliary data for operational land cover classification for the LCMAP initiative |
Optimizing the number of states, | training | iterations and Gaussians in an HMM-based handwritten word recognizer |
Ordered incremental | training | for GA-based classifiers |
Orthogonal Over-Parameterized | training | |
OSCAR: Object-Semantics Aligned Pre- | training | for Vision-Language Tasks |
Outreach Programmes for Education and | training | : Contributions from the International Cartographic Association |
Overcoming Forgetting Catastrophe in Quantization-Aware | training | |
Paired mini-batch | training | : A new deep network training for image forensics and steganalysis |
Paired mini-batch | training | : A new deep network training for image forensics and steganalysis |
Palmprint Anti-Spoofing Based on Domain-Adversarial | training | and Online Triplet Mining |
Parallel implementation of Artificial Neural Network | training | for speech recognition |
Parallel Perceptrons, Activation Margins and Imbalanced | training | Set Pruning |
Parameterized AdaBoost: Introducing a Parameter to Speed Up the | training | of Real AdaBoost |
parametric model for classifying land cover and evaluating | training | data based on multi-temporal remote sensing data, A |
Pareto Self-Supervised | training | for Few-Shot Learning |
Parking space detection from video by augmenting | training | dataset |
Partial discriminative | training | for classification of overlapping classes in document analysis |
Partial FC: | training | 10 Million Identities on a Single Machine |
Partial Reinforcement in Game Biofeedback for Relaxation | training | |
Participatory Design Approach to Develop a VR-based Electrocardiogram | training | Simulator, A |
Parzen Classifier with an Improved Robustness Against Deviations Between | training | and Test Data, A |
PASS: Part-Aware Self-Supervised Pre- | training | for Person Re-Identification |
Pasta: Proportional Amplitude Spectrum | training | Augmentation for Syn-to-Real Domain Generalization |
PAT: Pseudo-Adversarial | training | For Detecting Adversarial Videos |
Patch-Based Low-Rank Matrix Completion for Learning of Shape and Motion Models from Few | training | Samples |
PatchCraft Self-Supervised | training | for Correlated Image Denoising |
Patchwise Generative ConvNet: | training | Energy-Based Models from a Single Natural Image for Internal Learning |
Path Evaluation and Character Classifier | training | on Integrated Segmentation and Recognition of Online Handwritten Japanese Character String |
path- and label-cost propagation approach to speedup the | training | of the optimum-path forest classifier, A |
Patient-Provider Communication | training | Models for Interactive Speech Devices |
PCA Enhanced | training | Data for Adaboost |
PCCT: a Point Cloud Classification Tool to Create 3d | training | Data To Adjust and Develop 3d Convnet |
PD-Quant: Post- | training | Quantization Based on Prediction Difference Metric |
Pedestrian Detection Using Augmented | training | Data |
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial | training | |
Perception Prioritized | training | of Diffusion Models |
Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial | training | |
perf4sight: A toolflow to model CNN | training | performance on Edge GPUs |
Performance evaluation of incremental | training | method for face recognition using PCA |
Performance of a SCFG-Based Language Model with | training | Data Sets of Increasing Size |
Performance Profile of Online | training | Assessment Based on Virtual Reality: |
Performance-Based | training | Evaluation for an Augmented Virtuality Call for Fire Training System, A |
Performance-Based | training | Evaluation for an Augmented Virtuality Call for Fire Training System, A |
Personalized | training | through Kinect-based games for physical education |
Pervasive Sound Sensing: A Weakly Supervised | training | Approach |
PGT: A Progressive Method for | training | Models on Long Videos |
Photo Pre- | training | , But for Sketch |
PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise | training | and Skip Connections of High-Frequency Residuals |
Phrase Localization Without Paired | training | Examples |
Physically Extended Virtual Reality (PEVR) as a New Concept in Railway Driver | training | |
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet | training | Consistency Shift |
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency | training | |
Plen-VDB: Memory Efficient VDB-Based Radiance Fields for Fast | training | and Rendering |
Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial | training | |
Point Cloud Pre- | training | with Natural 3D Structures |
Point-BERT: Pre- | training | 3D Point Cloud Transformers with Masked Point Modeling |
Point-Level Region Contrast for Object Detection Pre- | training | |
PointCAT: Contrastive Adversarial | training | for Robust Point Cloud Recognition |
PointClustering: Unsupervised Point Cloud Pre- | training | using Transformation Invariance in Clustering |
Pointcontrast: Unsupervised Pre- | training | for 3d Point Cloud Understanding |
Pointing with a One-Eyed Cursor for Supervised | training | in Minimally Invasive Robotic Surgery |
Policy-Based Reinforcement Learning for | training | Autonomous Driving Agents in Urban Areas With Affordance Learning |
Ponder: Point Cloud Pre- | training | via Neural Rendering |
Population-Contrastive-Divergence: Does consistency help with RBM | training | ? |
Pose independent object classification from small number of | training | samples based on kernel principal component analysis of local parts |
POSIT: Part-based object segmentation without intensive | training | |
Position-Guided Text Prompt for Vision-Language Pre- | training | |
Positive-Congruent | training | : Towards Regression-Free Model Updates |
Post | training | Mixed Precision Quantization of Neural Networks using First-Order Information |
Post- | training | deep neural network pruning via layer-wise calibration |
Post- | training | Piecewise Linear Quantization for Deep Neural Networks |
Post- | training | Quantization on Diffusion Models |
Pre- | training | |
Pre- | training | Audio Representations With Self-Supervision |
Pre- | training | Auto-generated Volumetric Shapes for 3D Medical Image Segmentation |
Pre- | training | of gated convolution neural network for remote sensing image super-resolution |
Pre- | training | on Grayscale ImageNet Improves Medical Image Classification |
Pre- | training | Strategies and Datasets for Facial Representation Learning |
Pre- | training | Vision Transformers with Very Limited Synthesized Images |
Pre- | training | with Fractal Images Facilitates Learned Image Quality Estimation |
Pre- | training | Without Natural Images |
Pre- | training | -free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning |
Precise Electrical Disturbance Generator for Neural Network | training | with Real Level Output, A |
PreDet: Large-scale weakly supervised pre- | training | for detection |
Predicting the Influence of Additional | training | Data on Classification Performance for Imbalanced Data |
Predicting the quality of user-generated answers using co- | training | in community-based question answering portals |
Predicting the Required Number of | training | Samples |
Premature clustering phenomenon and new | training | algorithms for LVQ |
PreSTU: Pre- | training | for Scene-Text Understanding |
PreTraM: Self-supervised Pre- | training | via Connecting Trajectory and Map |
Principle of Diversity: | training | Stronger Vision Transformers Calls for Reducing All Levels of Redundancy, The |
Prior-Guided Adversarial Initialization for Fast Adversarial | training | |
Prioritized Subnet Sampling for Resource-Adaptive Supernet | training | |
Priors for People Tracking from Small | training | Sets |
Privacy Leakage of Adversarial | training | Models in Federated Learning Systems |
Proactive Eavesdropping With Jamming Power Allocation in | training | -Based Suspicious Communications |
Probabilistic Intersection-Over-Union for | training | and Evaluation of Oriented Object Detectors |
Procrustean | training | for Imbalanced Deep Learning |
Profit: A Novel | training | Method for sub-4-bit Mobilenet Models |
ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop | training | |
Progressive polarization based reflection removal via realistic | training | data generation |
Progressive | training | Enabled Fine-Grained Recognition |
Progressive | training | of A Two-Stage Framework for Video Restoration |
Progressive Transformation Learning for Leveraging Virtual Images in | training | |
Progressive Visual Object Detection with Positive | training | Examples Only |
Projected Gradient Descent Method for CRF Inference Allowing End-to-End | training | of Arbitrary Pairwise Potentials, A |
Promoting International Collaboration Through | training | and Education In Space Technology Applications and Advances Among Bimstec Countries - A Government of India Initiative |
ProposalContrast: Unsupervised Pre- | training | for LiDAR-Based 3D Object Detection |
ProSelfLC: Progressive Self Label Correction for | training | Robust Deep Neural Networks |
Prototype selection rules for neural network | training | |
ProX: A Reversed Once-for-All Network | training | Paradigm for Efficient Edge Models Training in Medical Imaging |
ProX: A Reversed Once-for-All Network | training | Paradigm for Efficient Edge Models Training in Medical Imaging |
Pruning by | training | : A Novel Deep Neural Network Compression Framework for Image Processing |
Pruning rPPG Networks: Toward Small Dense Network with Limited Number of | training | Samples |
Pruning | training | Sets for Learning of Object Categories |
PseCo: Pseudo Labeling and Consistency | training | for Semi-Supervised Object Detection |
PTQ4ViT: Post- | training | Quantization for Vision Transformers with Twin Uniform Quantization |
PX-NET: Simple and Efficient Pixel-Wise | training | of Photometric Stereo Networks |
Pyramid Adversarial | training | Improves ViT Performance |
Pyramidal Person Re-IDentification via Multi-Loss Dynamic | training | |
QBitOpt: Fast and Accurate Bitwidth Reallocation during | training | |
QFT: Post- | training | Quantization via Fast Joint Finetuning of All Degrees of Freedom |
Quality Diversity for Visual Pre- | training | |
Quality Metric Guided Portrait Line Drawing Generation From Unpaired | training | Data |
Quality of | training | -Sample Estimates of the Bhattacharyya Coefficient, The |
Quantifying the preferential direction of the model gradient in adversarial | training | with projected gradient descent |
Quantization and | training | of Neural Networks for Efficient Integer-Arithmetic-Only Inference |
Quasi-Balanced Self- | training | on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap |
Question classification based on co- | training | style semi-supervised learning |
RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre- | training | |
Radar HRRP Target Recognition Based on Dynamic Learning with Limited | training | Data |
Random Matrix Theory-Based Reduced-Dimension Space-Time Adaptive Processing under Finite | training | Samples |
Randomized Adversarial | training | via Taylor Expansion |
RandomRooms: Unsupervised Pre- | training | from Synthetic Shapes and Randomized Layouts for 3D Object Detection |
Range Loss for Deep Face Recognition with Long-Tailed | training | Data |
Range-Doppler Based CFAR Ship Detection with Automatic | training | Data Selection |
Ranking-Based Color Constancy With Limited | training | Samples |
RankMixup: Ranking-Based Mixup | training | for Network Calibration |
Rapid | training | Data Creation by Synthesizing Medical Images for Classification and Localization |
Rapid | training | of image classifiers through adaptive, multi-frame sampling method |
RB-Net: | training | Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation |
RCV2023 Challenges: Benchmarking Model | training | and Inference for Resource-Constrained Deep Learning |
Re-coding ECOCs without re- | training | |
Re-GAN: Data-Efficient GANs | training | via Architectural Reconfiguration |
Re-Using of the Historical Buildings in the Context of Sustainablity: An Architectural Design Studio Study on Old Girls Teacher | training | School |
Real Time Body Pose Tracking in an Immersive | training | Environment |
Real Time Machine Learning Based Car Detection in Images With Fast | training | |
Real-ESRGAN: | training | Real-World Blind Super-Resolution with Pure Synthetic Data |
Real-Time Activity Detection of Human Movement in Videos via Smartphone Based on Synthetic | training | Data |
Real-time Gesture Recognition with Minimal | training | Requirements and On-line Learning |
Realtime | training | on mobile devices for face recognition applications |
Rebalancing gradient to improve self-supervised co- | training | of depth, odometry and optical flow predictions |
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly | training | Spiking Neural Networks |
Recent progress in image denoising: A | training | strategy perspective |
Recognition of 3D Objects by Learning from Correspondences in a Sequence of Unlabeled | training | Images |
Recognizing frontal face images using hidden markov models with one | training | image per person |
Recognizing Groceries in situ Using in vitro | training | Data |
Recognizing human-vehicle interactions from aerial video without | training | |
Reconstructing | training | Data from Diverse ML Models by Ensemble Inversion |
Reconstruction combined | training | for convolutional neural networks on character recognition |
Reconstructive | training | for Real-World Robustness in Image Classification |
Recovering Generalization via Pre- | training | -Like Knowledge Distillation for Out-of-Distribution Visual Question Answering |
Recurrent Assistance: Cross-Dataset | training | of LSTMs on Kitchen Tasks |
Redirected Touching: | training | and adaptation in warped virtual spaces |
Reducing correspondence ambiguity in loosely labeled | training | data |
Reducing the | training | set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images |
Reducing the | training | set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images |
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 |
Reduction of Feature Statistics Estimation Error for Small | training | Sample Size in Off-Line Signature Verification |
Refining the Pose: | training | and Use of Deep Recurrent Autoencoders for Improving Human Pose Estimation |
Region-Based Semantic Segmentation with End-to-End | training | |
Regularization with Latent Space Virtual Adversarial | training | |
Regularized Adversarial | training | for Single-Shot Virtual Try-On |
regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced | training | data, A |
Regularized Gradient Descent | training | of Steered Mixture of Experts for Sparse Image Representation |
Regularizing Activation Distribution for | training | Binarized Deep Networks |
Regularizing deep networks with label geometry for accurate object localization on small | training | datasets |
Reinforced Self-Supervised | training | for Few-Shot Learning |
Reinforcing the Robustness of a Deep Neural Network to Adversarial Examples by Using Color Quantization of | training | Image Data |
Reinterpreting CTC | training | as iterative fitting |
Relation Enhanced Vision Language Pre- | training | |
Relational distance and document-level contrastive pre- | training | based relation extraction model |
Relationship Between Generalization Error and | training | Samples in Kernel Regressors, A |
Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical | training | |
Reliably fast adversarial | training | via latent adversarial perturbation |
Relieving Pixel-wise Labeling Effort for Pathology Image Segmentation with Self- | training | |
RELIVE: A Markerless Assistant for CPR | training | |
Relmobnet: End-to-end Relative Camera Pose Estimation Using a Robust Two-stage | training | |
Remote Virtual-Surgery | training | and Teaching System, A |
Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired | training | Data |
Removing Impulse Bursts from Images by | training | -Based Filtering |
Reordering of Surface Feature Vectors in | training | for 3-D Object Recognition |
RepNet: Weakly Supervised | training | of an Adversarial Reprojection Network for 3D Human Pose Estimation |
RepQ-ViT: Scale Reparameterization for Post- | training | Quantization of Vision Transformers |
RePr: Improved | training | of Convolutional Filters |
Representation Recovering for Self-Supervised Pre- | training | on Medical Images |
Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image per | training | Class |
Request for Clarity over the End of Sequence Token in the Self-critical Sequence | training | , A |
RES-StS: Referring Expression Speaker via Self- | training | With Scorer for Goal-Oriented Vision-Language Navigation |
Research Data Management | training | for Geographers: First Impressions |
Research on Lightweight Network of Human Posture Estimation for Physical | training | |
Research on Quality Evaluation Algorithm of Flight | training | for National Day Parade Air Echelon |
Research on rehabilitation | training | bed with action prediction based on NARX neural network |
Research on the Use of Puppeteering to Improve Realism in Army Simulations and | training | Games |
ResFormer: Scaling ViTs with Multi-Resolution | training | |
ResMLP: Feedforward Networks for Image Classification With Data-Efficient | training | |
Restoration of Sea Surface Temperature Satellite Images Using a Partially Occluded | training | Set |
Restricted Boltzmann machine approach to couple dictionary | training | for image super-resolution |
Rethinking Closed-Loop | training | for Autonomous Driving |
Rethinking deep active learning: Using unlabeled data at model | training | |
Rethinking ImageNet Pre- | training | |
Rethinking pre- | training | on medical imaging |
Rethinking the Data Annotation Process for Multiview 3D Pose Estimation with Active Learning and Self- | training | |
Rethinking the Importance of Quantization Bias, Toward Full Low-Bit | training | |
Rethinking the Random Cropping Data Augmentation Method Used in the | training | of CNN-Based SAR Image Ship Detector |
Rethinking | training | Data for Mitigating Representation Biases in Action Recognition |
Rethinking | training | Objective for Self-Supervised Monocular Depth Estimation: Semantic Cues To Rescue |
Rethinking | training | Schedules for Verifiably Robust Networks |
Rethinking Zero-Shot Video Classification: End-to-End | training | for Realistic Applications |
Retinal Vessel Detection in Wide-Field Fluorescein Angiography with Deep Neural Networks: A Novel | training | Data Generation Approach |
Reveal: Retrieval-Augmented Visual-Language Pre- | training | with Multi-Source Multimodal Knowledge Memory |
Revealing the Potential of Deep Learning for Detecting Submarine Pipelines in Side-Scan Sonar Images: An Investigation of Pre- | training | Datasets |
Reverse | training | : An Efficient Approach for Image Set Classification |
Revisiting AUC-Oriented Adversarial | training | With Loss-Agnostic Perturbations |
Revisiting coarse-to-fine strategy for low-light image enhancement with deep decomposition guided | training | |
Revisiting Dead Leaves Model: | training | With Synthetic Data |
Revisiting Knowledge Transfer for | training | Object Class Detectors |
Revisiting Loss-Specific | training | of Filter-Based MRFs for Image Restoration |
Revisiting Outer Optimization in Adversarial | training | |
Revisiting single-step adversarial | training | for robustness and generalization |
Revisiting the | training | of Very Deep Neural Networks without Skip Connections |
Revisiting | training | -free NAS Metrics: An Efficient Training-based Method |
Revisiting | training | -free NAS Metrics: An Efficient Training-based Method |
Revisiting Weakly Supervised Pre- | training | of Visual Perception Models |
Revitalizing Regression Tasks Through Modern | training | Procedures: Applications in Medical Image Analysis for Covid-19 Infection Percentage Estimation |
Reviving Iterative | training | with Mask Guidance for Interactive Segmentation |
Rice Mapping in | training | Sample Shortage Regions Using a Deep Semantic Segmentation Model Trained on Pseudo-Labels |
Rich Nonverbal Sensing Technology for Automated Social Skills | training | |
RLIPv2: Fast Scaling of Relational Language-Image Pre- | training | |
RNN | training | along Locally Optimal Trajectories via Frank-Wolfe Algorithm |
robust boosting tracker with minimum error bound in a co- | training | framework, A |
Robust face recognition with partial occlusion, illumination variation and limited | training | data by optimal feature selection |
Robust Lane Detection Through Self Pre- | training | With Masked Sequential Autoencoders and Fine-Tuning With Customized PolyLoss |
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co- | training | |
Robust Mixture-of-Expert | training | for Convolutional Neural Networks |
Robust Multimodal Person Identification With Limited | training | Data |
Robust Scene Text Detection for Partially Annotated | training | Data |
Robust steganalysis based on | training | set construction and ensemble classifiers weighting |
Robust | training | with Feature-Based Adversarial Example |
Robust Visual Tracking via Convolutional Networks Without | training | |
Robust, accurate and efficient face recognition from a single | training | image: A uniform pursuit approach |
Robustness and Generalization via Generative Adversarial | training | |
Robustness in statistical pattern recognition under contaminations of | training | samples |
Rotation Awareness Based Self-Supervised Learning for SAR Target Recognition With Limited | training | Samples |
Rotation Invariant Object Recognition from One | training | Example |
Rotation XGBoost Based Method for Hyperspectral Image Classification with Limited | training | Samples |
Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With Limited | training | Samples |
RUSBoost: Improving classification performance when | training | data is skewed |
SAETA: A Smart Coaching Assistant for Professional Volleyball | training | |
Saliency for fine-grained object recognition in domains with scarce | training | data |
Saliency Regularization for Self- | training | with Partial Annotations |
Salient object detection with adversarial | training | |
SAR Image Despeckling by Deep Neural Networks: from a Pre-Trained Model to an End-to-End | training | Strategy |
SAR Target Detection Based on Domain Adaptive Faster R-CNN with Small | training | Data Size |
SAR-HUB: Pre- | training | , Fine-Tuning, and Explaining |
SAT: 2D Semantics Assisted | training | for 3D Visual Grounding |
Sat: Self-Adaptive | training | for Fashion Compatibility Prediction |
Satellite Based Education And | training | In Remote Sensing And Geo-information: An E-learning Approach To Meet The Growing Demands In India |
SatImNet: Structured and Harmonised | training | Data for Enhanced Satellite Imagery Classification |
SC-SSL: Self-Correcting Collaborative and Contrastive Co- | training | Model for Semi-Supervised Medical Image Segmentation |
Scalable Verified | training | for Provably Robust Image Classification |
Scale-Aware Automatic Augmentations for Object Detection With Dynamic | training | |
Scaling Adversarial | training | to Large Perturbation Bounds |
Scaling Language-Image Pre- | training | via Masking |
Scene-specific crowd counting using synthetic | training | images |
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre- | training | on Indoor Segmentation? |
ScoreMix: A Scalable Augmentation Strategy for | training | GANs With Limited Data |
SCoTTi: Save Computation at | training | Time with an adaptive framework |
ScratchDet: | training | Single-Shot Object Detectors From Scratch |
ScratchHOI: | training | Human-Object Interaction Detectors from Scratch |
SeaMAE: Masked Pre- | training | with Meteorological Satellite Imagery for Sea Fog Detection |
Seamless Lesion Insertion for Data Augmentation in CAD | training | |
Seasonal Contrast: Unsupervised Pre- | training | from Uncurated Remote Sensing Data |
Second Order Bifurcating Methodology for Neural Network | training | and Topology Optimization |
Second-Layer Navigation in Mobile Hypervideo for Medical | training | |
Seeing Out of tHe bOx: End-to-End Pre- | training | for Vision-Language Representation Learning |
Seeing What You Miss: Vision-Language Pre- | training | with Semantic Completion Learning |
Segmentation of Tubular Structures Using Iterative | training | with Tailored Samples |
SeiT: Storage-Efficient Vision | training | with Tokens Using 1% of Pixel Storage |
Select eigenfaces for face recognition with one | training | sample per subject |
Selecting | training | points for one-class support vector machines |
Selection of | training | Instances for Music Genre Classification |
Self Patch Labeling Using Quality Distribution Estimation for CNN-Based 360-IQA | training | |
Self-Adaptive | training | : Bridging Supervised and Self-Supervised Learning |
Self-Critical N-Step | training | for Image Captioning |
Self-Critical Sequence | training | for Image Captioning |
Self-Enhanced | training | Framework for Referring Expression Grounding |
Self-Guiding Multimodal LSTM: When We Do Not Have a Perfect | training | Dataset for Image Captioning |
Self-Paced Adversarial | training | for Multimodal Few-Shot Learning |
Self-Supervised 3D Hand Pose Estimation Through | training | by Fitting |
Self-Supervised Anomaly Detection from Anomalous | training | Data via Iterative Latent Token Masking |
Self-Supervised Domain Adaptation with Consistency | training | |
Self-Supervised Global Spatio-Temporal Interaction Pre- | training | for Group Activity Recognition |
Self-supervised non-rigid structure from motion with improved | training | of Wasserstein GANs |
Self-Supervised Pre- | training | Boosts Semantic Scene Segmentation on LiDAR data |
Self-supervised Pre- | training | Enhances Change Detection in Sentinel-2 Imagery |
Self-supervised pre- | training | for large-scale crop mapping using Sentinel-2 time series |
Self-supervised Pre- | training | for Mirror Detection |
Self-Supervised Pre- | training | of Swin Transformers for 3D Medical Image Analysis |
Self-Supervised Pre- | training | with Bridge Neural Network for SAR-Optical Matching |
Self-Supervised Pre- | training | with Masked Shape Prediction for 3D Scene Understanding |
Self-supervised | training | for blind multi-frame video denoising |
Self-supervision with Superpixels: | training | Few-shot Medical Image Segmentation Without Annotation |
Self- | training | and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection |
Self- | training | and multi-task learning for limited data: Evaluation study on object detection |
Self- | training | Approach for Point-Supervised Object Detection and Counting in Crowds, A |
Self- | training | Approach for Visual Tracking and Recognition of Complex Human Activity Patterns, A |
Self- | training | Boosted Multi-Factor Matching Network for Composed Image Retrieval |
Self- | training | Classification Framework with Spatial-Contextual Information for Local Climate Zones |
Self- | training | for Domain Adaptive Scene Text Detection |
Self- | training | for Handwritten Text Line Recognition |
Self- | training | Guided Adversarial Domain Adaptation For Thermal Imagery |
Self- | training | Learning Document Binarization Framework, A |
Self- | training | Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels |
Self- | training | Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels |
Self- | training | of Handwritten Word Recognition for Synthetic-to-Real Adaptation |
self- | training | semi-supervised SVM algorithm and its application in an EEG-based brain computer interface speller system, A |
Self- | training | statistic snake for image segmentation and tracking |
Self- | training | Strategy Based on Finite Element Method for Adaptive Bioluminescence Tomography Reconstruction |
Self- | training | Vision Language BERTs With a Unified Conditional Model |
Self- | training | Weakly-Supervised Framework for Pathologist-Like Histopathological Image Analysis, A |
Self- | training | With Noisy Student Improves ImageNet Classification |
Self- | training | With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification |
Self- | training | With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification |
Self- | training | with unlabeled regions for NBI image recognition |
Self- | training | -based face recognition using semi-supervised linear discriminant analysis and affinity propagation |
Semantic Implicit Neural Scene Representations With Semi-Supervised | training | |
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited | training | Data |
Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale | training | Architecture |
Semantic-Analysis Object Recognition: Automatic | training | Set Generation Using Textual Tags |
Semantically-driven automatic creation of | training | sets for object recognition |
Semi self- | training | beard/moustache detection and segmentation simultaneously |
Semi-Automatic Generation of | training | Samples for Detecting Renewable Energy Plants in High-Resolution Aerial Images |
Semi-automatic | training | of a Vehicle Make and Model Recognition System |
Semi-automatic | training | of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers |
Semi-automatic | training | Sets Acquisition for Handwriting Recognition |
Semi-FCMNet: Semi-Supervised Learning for Forest Cover Mapping from Satellite Imagery via Ensemble Self- | training | and Perturbation |
Semi-Siamese | training | for Shallow Face Learning |
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co- | training | |
Semi-Supervised Breast Histopathological Image Classification with Self- | training | Based on Non-Linear Distance Metric |
Semi-Supervised Crowd Counting via Self- | training | on Surrogate Tasks |
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self- | training | |
Semi-supervised face recognition with LDA self- | training | |
Semi-supervised Gait Recognition Based on Self- | training | |
Semi-supervised hyperspectral classification from a small number of | training | samples using a co-training approach |
Semi-supervised hyperspectral classification from a small number of | training | samples using a co-training approach |
Semi-Supervised Hyperspectral Image Classification via Spatial-Regulated Self- | training | |
Semi-supervised learning using adversarial | training | with good and bad samples |
Semi-supervised maximum a posteriori probability segmentation of brain tissues from dual-echo magnetic resonance scans using incomplete | training | data |
Semi-supervised PCA-Based Face Recognition Using Self- | training | |
Semi-Supervised PolSAR Image Classification Based on Improved Tri- | training | With a Minimum Spanning Tree |
Semi-Supervised PolSAR Image Classification Based on Self- | training | and Superpixels |
Semi-supervised robust | training | with generalized perturbed neighborhood |
Semi-Supervised Self- | training | of Object Detection Models |
Semi-Supervised Semantic Segmentation With Cross-Consistency | training | |
Semi-supervised Semantics-guided Adversarial | training | for Robust Trajectory Prediction |
Semi-Supervised | training | to Improve Player and Ball Detection in Soccer |
Semi-tight covariance matrices implementation in MASPER HMM | training | procedure |
Sensei: A Real-time Recognition, Feedback, and | training | System for T'ai Chi Gestures |
Sensitivity of Mapping Methods to Reference Data Quality: | training | Supervised Image Classifications with Imperfect Reference Data, The |
Sensitivity study of a semi-automatic | training | set generator |
Sensor-Based Data Visualization System for | training | Blood Pressure Measurement by Auscultatory Method, A |
Separation of Bones From Chest Radiographs by Means of Anatomically Specific Multiple Massive- | training | ANNs Combined With Total Variation Minimization Smoothing |
Sequential | training | of GANs Against GAN-Classifiers Reveals Correlated Knowledge Gaps Present Among Independently Trained GAN Instances |
Sequential Video VLAD: | training | the Aggregation Locally and Temporally |
Serf: Towards better | training | of deep neural networks using log-Softplus ERror activation Function |
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre- | training | Models |
Set-the-Scene: Global-Local | training | for Generating Controllable NeRF Scenes |
Severity-Aware Semantic Segmentation With Reinforced Wasserstein | training | |
SGAN: An Alternative | training | of Generative Adversarial Networks |
Shadow Removal by a Lightness-Guided Network With | training | on Unpaired Data |
Shakeout: A New Approach to Regularized Deep Neural Network | training | |
Sharing is Caring: Concurrent Interactive Segmentation and Model | training | using a Joint Model |
Show, Adapt and Tell: Adversarial | training | of Cross-Domain Image Captioner |
Show, Tell and Rephrase: Diverse Video Captioning via Two-Stage Progressive | training | |
Sideways: Depth-Parallel | training | of Video Models |
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in | training | Images |
Sigmoid Loss for Language Image Pre- | training | |
SignBERT+: Hand-Model-Aware Self-Supervised Pre- | training | for Sign Language Understanding |
SignBERT: Pre- | training | of Hand-Model-Aware Representation for Sign Language Recognition |
significance of border | training | patterns in classification by a feedforward neural network using back propagation learning, The |
Sim-to-Real 6D Object Pose Estimation via Iterative Self- | training | for Robotic Bin Picking |
Similarity mapping for robust face recognition via a single | training | sample per person |
Similarity Maps for Self- | training | Weakly-Supervised Phrase Grounding |
Simultaneous feature selection and classifier | training | via linear programming: a case study for face expression recognition |
Simultaneously | training | and Compressing Vision-and-Language Pre-Training Model |
Simultaneously | training | and Compressing Vision-and-Language Pre-Training Model |
Single Image Depth Estimation Using Deep Adversarial | training | |
Single Image Reflection Removal Exploiting Misaligned | training | Data and Network Enhancements |
Single Image Reflection Removal With Physically-Based | training | Images |
Single-Stage 3D Geometry-Preserving Depth Estimation Model | training | on Dataset Mixtures with Uncalibrated Stereo Data |
Single-Step Adversarial | training | With Dropout Scheduling |
SinNeRF: | training | Neural Radiance Fields on Complex Scenes from a Single Image |
Site of San Calocero Di Albenga (sv). An Inter-disciplinary Methodological | training | Ground, The |
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre- | training | |
Sketch Assisted Face Image Coding for Human and Machine Vision: A Joint | training | Approach |
Sketch3T: Test-Time | training | for Zero-Shot SBIR |
SKFAC: | training | Neural Networks with Faster Kronecker-Factored Approximate Curvature |
Skills Assessment of Users in Medical | training | Based on Virtual Reality Using Bayesian Networks |
Skills | training | and intelligent development in college sports under the Internet |
Skin Lesion Segmentation Ensemble with Diverse | training | Strategies |
SLADE: A Self- | training | Framework For Distance Metric Learning |
SLIP: Self-supervision Meets Language-Image Pre- | training | |
Small Sample Sizes Issues, Data analysis, | training | Sets |
Small Sphere and Large Margin Approach for Novelty Detection Using | training | Data with Outliers, A |
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre- | training | |
SNP-S3: Shared Network Pre- | training | and Significant Semantic Strengthening for Various Video-Text Tasks |
Sobolev | training | for Implicit Neural Representations with Approximated Image Derivatives |
Social Cognitive and Affective Neuroscience in Human-Machine Systems: A Roadmap for Improving | training | , Human-Robot Interaction, and Team Performance |
Social Signal Detection by Probabilistic Sampling DNN | training | |
Soft Hough Forest-ERTs: Generalized Hough Transform based object detection from soft-labelled | training | data |
soft-labeled self- | training | approach, A |
Solving Oscillation Problem in Post- | training | Quantization Through a Theoretical Perspective |
Source-free and black-box domain adaptation via distributionally adversarial | training | |
Sparse representation with multi-manifold analysis for texture classification from few | training | images |
Sparse Variation Dictionary Learning for Face Recognition with a Single | training | Sample per Person |
SparseMAE: Sparse | training | Meets Masked Autoencoders |
Sparsity preserving discriminant analysis for single | training | image face recognition |
Spatial co- | training | for semi-supervised image classification |
Spatial Consistency Loss for | training | Multi-Label Classifiers from Single-Label Annotations |
Spatial Quest: Game-Based Spatial Intelligence | training | Using VR and Non-VR Platforms |
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited | training | Data |
Speaking the Same Language: Matching Machine to Human Captions by Adversarial | training | |
Spectral index-driven FCN model | training | for water extraction from multispectral imagery |
Spectral Normalization and Relativistic Adversarial | training | for Conditional Pose Generation with Self-Attention |
Speeding up optimum-path forest | training | by path-cost propagation |
Sphere-Guided | training | of Neural Implicit Surfaces |
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN | training | |
SPot-the-Difference Self-supervised Pre- | training | for Anomaly Detection and Segmentation |
SSF: Accelerating | training | of Spiking Neural Networks with Stabilized Spiking Flow |
ST-IRGS: A Region-Based Self- | training | Algorithm Applied to Hyperspectral Image Classification and Segmentation |
ST3D++: Denoised Self- | training | for Unsupervised Domain Adaptation on 3D Object Detection |
ST3D: Self- | training | for Unsupervised Domain Adaptation on 3D Object Detection |
Stacked graph bone region U-net with bone representation for hand pose estimation and semi-supervised | training | |
State-Aware Compositional Learning Toward Unbiased | training | for Scene Graph Generation |
State-of-the-art of 3D facial reconstruction methods for face recognition based on a single 2D | training | image per person |
Statistical Analysis of Airborne Imagery Combined With GIS Information For | training | Data Generation |
STCT: Sequentially | training | Convolutional Networks for Visual Tracking |
Step acceleration based | training | algorithm for feedforward neural networks |
StEP: Style-based Encoder Pre- | training | for Multi-modal Image Synthesis |
Stingray Detection of Aerial Images Using Augmented | training | Images Generated by a Conditional Generative Model |
Stochastic Backpropagation: A Memory Efficient Strategy for | training | Video Models |
Strategies for | training | Robust Neural Network Based Digit Recognizers on Unbalanced Data Sets |
Strict rule-based automatic | training | data extraction using Mobile laser scanning in urban area |
Stripe Extraction of Oceanic Internal Waves Using PCGAN with Small-Data | training | |
Stroke-Based Scene Text Erasing Using Synthetic Data for | training | |
Strong supervision from weak annotation: Interactive | training | of deformable part models |
Structure and Texture-Aware Image Decomposition via | training | a Neural Network |
Structured Adversarial | training | for Unsupervised Monocular Depth Estimation |
Structured feature sparsity | training | for convolutional neural network compression |
Structured Max-Margin Learning for Inter-Related Classifier | training | and Multilabel Image Annotation |
study of a new misclassification measure for minimum classification error | training | of prototype-based pattern classifiers, A |
study of CNN outside of | training | conditions, A |
Study of Discriminative | training | for HMM-Based Online Handwritten Chinese/Japanese Character Recognition, A |
Study on the Impact of | training | Data in CNN-Based Super-Resolution for Low Bitrate End-to-End Video Coding, A |
Study on the Quality of Experience Evaluation Metrics for Astronaut Virtual | training | System |
Studying Public Medical Images from the Open Access Literature and Social Networks for Model | training | and Knowledge Extraction |
StyleAdv: Meta Style Adversarial | training | for Cross-Domain Few-Shot Learning |
Subclass Deep Neural Networks: Re-enabling Neglected Classes in Deep Network | training | for Multimedia Classification |
Subclass representation-based face-recognition algorithm derived from the structure scatter of | training | samples |
Subspace Adversarial | training | |
subspace co- | training | framework for multi-view clustering, A |
Super-Resolution | training | Paradigm Based on Low-Resolution Data Only to Surpass the Technical Limits of STEM and STM Microscopy, A |
Super-Resolving Commercial Satellite Imagery Using Realistic | training | Data |
Supervised enhancement of lung nodules by use of a massive- | training | artificial neural network (MTANN) in computer-aided diagnosis (CAD) |
Supervised Learning of Detection and Classification Tasks with Uncertain | training | Data |
supervised | training | algorithm for self-organizing maps for structures, A |
Supervised | training | based hand gesture recognition system |
support system for maintenance | training | by augmented reality, A |
Support vector machines resilient against | training | data integrity attacks |
Support Vector Machines | training | Data Selection Using a Genetic Algorithm |
survey of robust adversarial | training | in pattern recognition: Fundamental, theory, and methodologies, A |
Survey on Generative Adversarial Networks: Variants, Applications, and | training | , A |
Survey on | training | Free 3D Texture-less Object Recognition Techniques, A |
SuS-X: | training | -Free Name-Only Transfer of Vision-Language Models |
SVM | training | time reduction using vector quantization |
Synchronizing disparate video streams from laparoscopic operations in simulation-based surgical | training | |
Synthesizing Chest X-Ray Pathology for | training | Deep Convolutional Neural Networks |
Synthesizing | training | Images for Boosting Human 3D Pose Estimation |
Synthetic Data Generation using Imitation | training | |
Synthetic Discriminant Functions for Recognition of Images on the Boundary of the Convex-Hull of the | training | Set |
synthetic | training | framework for providing gesture scalability to 2.5D pose-based hand gesture recognition systems, A |
Synthetic | training | in object detection |
System for Rapid Interactive | training | of Object Detectors, A |
TA-Student VQA: Multi-Agents | training | by Self-Questioning |
Tai Chi | training | System Based on Fast Skeleton Matching Algorithm, A |
Tailored Features for Semantic Segmentation with A DGCNN Using Free | training | Samples of A Colored Airborne Point Cloud |
Take-A-Photo: 3D-to-2D Generative Pre- | training | of Point Cloud Models |
TAP: Text-Aware Pre- | training | for Text-VQA and Text-Caption |
Task2Sim: Towards Effective Pre- | training | and Transfer from Synthetic Data |
Teach-DETR: Better | training | DETR With Teachers |
Teacher-Student | training | and Triplet Loss for Facial Expression Recognition under Occlusion |
Technical Demonstration on Model Based | training | , Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes |
Telepresence, Immersion, for Instruction, | training | , Education |
Temporal Enhanced | training | of Multi-view 3D Object Detector via Historical Object Prediction |
Temporal-spatial validation of knot-tying procedures using RGB-D sensor for | training | of surgical operation |
Tennis | training | Application Using 3D Gesture Recognition, A |
Tensor completion via convolutional sparse coding with small samples-based | training | |
Test-time Adaptation vs. | training | -time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation |
TeST: Test-time Self- | training | under Distribution Shift |
Text degradations and OCR | training | |
Text-Guided Neural Network | training | for Image Recognition in Natural Scenes and Medicine |
Text-to-Image Generation via Semi-Supervised | training | |
Texture classification with minimal | training | images |
TF-ICON: Diffusion-Based | training | -Free Cross-Domain Image Composition |
Theory and practice of vector quantizers trained on small | training | sets |
Thinking Outside the Pool: Active | training | Image Creation for Relative Attributes |
Three-level | training | of Multi-Head Architecture for Pain Detection |
Three-Stage Self- | training | Framework for Semi-Supervised Semantic Segmentation, A |
Three-stage | training | Pipeline with Patch Random Drop for Few-shot Object Detection |
TiDAL: Learning | training | Dynamics for Active Learning |
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial | training | |
Tip-Adapter: | training | -Free Adaption of CLIP for Few-Shot Classification |
To Speak or to Text: Effects of Display Type and I/O Style on Mobile Virtual Humans Nurse | training | |
Today's Robotic Surgery Turns Surgical Trainees into Spectators: Medical | training | in the Robotics Age Leaves Tomorrow's Surgeons Short on Skills |
Token Boosting for Robust Self-Supervised Visual Transformer Pre- | training | |
Tokens-to-Token ViT: | training | Vision Transformers from Scratch on ImageNet |
Tomographic reconstruction of flowing gases using sparse | training | |
Too Large; Data Reduction for Vision-Language Pre- | training | |
Topological Framework for | training | Latent Variable Models, A |
Toward Accurate Post- | training | Quantization for Image Super Resolution |
Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co- | training | |
Toward Efficient Action Recognition: Principal Backpropagation for | training | Two-Stream Networks |
Toward intelligent | training | of supervised image classifications: Directing training data acquisition for SVM classification |
Toward intelligent | training | of supervised image classifications: Directing training data acquisition for SVM classification |
Toward Intrinsic Adversarial Robustness Through Probabilistic | training | |
Towards a Unified Network for Robust Monocular Depth Estimation: Network Architecture, | training | Strategy and Dataset |
Towards Adaptive Multi-Scale Intermediate Domain via Progressive | training | for Unsupervised Domain Adaptation |
Towards All-in-One Pre- | training | via Maximizing Multi-Modal Mutual Information |
Towards Better Stability and Adaptability: Improve Online Self- | training | for Model Adaptation in Semantic Segmentation |
Towards Compositional Adversarial Robustness: Generalizing Adversarial | training | to Composite Semantic Perturbations |
Towards Computational Understanding of Skill Levels in Simulation-Based Surgical | training | via Automatic Video Analysis |
Towards desirable decision boundary by Moderate-Margin Adversarial | training | |
Towards Efficient Adversarial | training | on Vision Transformers |
Towards Efficient and Data Agnostic Image Classification | training | Pipeline for Embedded Systems |
Towards Evaluating and | training | Verifiably Robust Neural Networks |
Towards Fast and Robust Adversarial | training | for Image Classification |
Towards Faster | training | of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization |
Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre- | training | |
Towards Language-Free | training | for Text-to-Image Generation |
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre- | training | |
Towards Memory- and Time-Efficient Backpropagation for | training | Spiking Neural Networks |
Towards Multi-domain Single Image Dehazing via Test-time | training | |
Towards Optimal | training | of Cascaded Detectors |
Towards Privacy-Preserving Visual Recognition via Adversarial | training | : A Pilot Study |
Towards reduction of the | training | and search running time complexities for non-rigid object segmentation |
Towards Robust Colour Texture Classification with Limited | training | Data |
Towards Sequence-Level | training | for Visual Tracking |
Towards the Optimal | training | of Cascades of Boosted Ensembles |
Towards | training | -Free Refinement for Semantic Indexing of Visual Media |
Towards Unified INT8 | training | for Convolutional Neural Network |
Towards Unifying Medical Vision-and-Language Pre- | training | via Soft Prompts |
Towards Viewpoint-Invariant Visual Recognition via Adversarial | training | |
Tracking Historical Wetland Changes in the China Side of the Amur River Basin Based on Landsat Imagery and | training | Samples Migration |
Tracking occluded targets in high-similarity background: An online | training | , non-local appearance model and periodic hybrid particle filter with projective transformation |
Train Sparsely, Generate Densely: Memory-Efficient Unsupervised | training | of High-Resolution Temporal GAN |
TrainFors: A Large Benchmark | training | Dataset for Image Manipulation Detection and Localization |
| training | a CNN for Guidewire Detection |
| training | a convolutional neural network for multi-class object detection using solely virtual world data |
| training | a convolutional neural network for transportation sign detection using synthetic dataset |
| training | a Disaster Victim Detection Network for UAV Search and Rescue Using Harmonious Composite Images |
| training | a Feedback Loop for Hand Pose Estimation |
| training | a general purpose deformable template |
| training | a Mentee Network by Transferring Knowledge from a Mentor Network |
| training | a multi-exit cascade with linear asymmetric classification for efficient object detection |
| training | a Multilayered Perceptron to Compute the Euler Number of a 2-D Binary Image |
| training | a Radial Basis Function Network Under Transformed Probability Measure |
| training | a Scene-Specific Pedestrian Detector Using Tracklets |
| training | a Seismogram Discriminator Based on ResNet |
| training | a Steerable CNN for Guidewire Detection |
| training | a Task-Specific Image Reconstruction Loss |
| training | A Vision-Guided Mobile Robot |
| training | Accurate Binary Neural Networks from Scratch |
| training | Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds |
| training | algorithm for perceptron with multi-pulse type activation function |
| training | algorithms for fuzzy support vector machines with noisy data |
| training | an Active Random Field for Real-Time Image Denoising |
| training | an Arabic handwriting recognizer without a handwritten training data set |
| training | an Arabic handwriting recognizer without a handwritten training data set |
| training | An Embedded Object Detector for Industrial Settings Without Real Images |
| training | and Recognition of Complex Scenes Using a Holistic Statistical Model |
| training | and Testing Texture Similarity Metrics for Structurally Lossless Compression |
| training | approach using the shallow model and hard triplet mining for person re-identification |
| training | Area Concept in a Two-Phase Biomass Inventory Using Airborne Laser Scanning and RapidEye Satellite Data |
| training | Assist System of a Lower Limb Prosthetic Visualizing Floor-Reaction Forces Using a Color-Depth Sensing Camera |
| training | Asymmetry SVM in Image Retrieval Using Unlabeled Data |
| training | Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction |
| training | Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation |
| training | Based On Real-time Motion Evaluation For Functional Rehabilitation In Virtual Environment |
| training | based optimal stack filter design under structural constraints |
| training | based Optimization of Weighted Order Statistic Filters under Breakdown Criteria |
| training | bidirectional generative adversarial networks with hints |
| training | Binary Descriptors for Improved Robustness and Efficiency in Real-Time Matching |
| training | Binary Weight Networks via Semi-Binary Decomposition |
| training | boosting-like algorithms with semi-supervised subspace learning |
| training | Cartoonization Network without Cartoon |
| training | Cascade Compact CNN With Region-IoU for Accurate Pedestrian Detection |
| training | Cellular Automata for Image Processing |
| training | circuit-based quantum classifiers through memetic algorithms |
| training | CNNs for 3-D Sign Language Recognition With Color Texture Coded Joint Angular Displacement Maps |
| training | CNNs on speckled optical dataset for edge detection in SAR images |
| training | Compact CNNs for Image Classification Using Dynamic-Coded Filter Fusion |
| training | Compact Deep Learning Models for Video Classification Using Circulant Matrices |
| training | Compact DNNs with L1/2 Regularization |
| training | convolutional neural network from multi-domain contour images for 3D shape retrieval |
| training | Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection |
| training | Convolutional Neural Networks with Limited Training Data for Ear Recognition in the Wild |
| training | Convolutional Neural Networks with Limited Training Data for Ear Recognition in the Wild |
| training | Data Classification Algorithms for Radar Applications |
| training | data independent image registration using generative adversarial networks and domain adaptation |
| training | data recycling for multi-level learning |
| training | Data Selection and Update Strategies for Airborne Post-Doppler STAP |
| training | Data Selection for Annual Land Cover Classification for the Land Change Monitoring, Assessment, and Projection (LCMAP) Initiative |
| training | data selection for cancer detection in multispectral endoscopy images |
| training | data selection for improving discriminative training of acoustic models |
| training | data selection for improving discriminative training of acoustic models |
| training | Data Subset Search With Ensemble Active Learning |
| training | Database Adequacy Analysis for Learning-Based Super-Resolution |
| training | dataset for semantic segmentation of urban point cloud map for intelligent vehicles, A |
| training | Debiased Subnetworks with Contrastive Weight Pruning |
| training | Deep Generative Models in Highly Incomplete Data Scenarios with Prior Regularization |
| 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 | Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data |
| training | Deep Networks to be Spatially Sensitive |
| training | Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization |
| training | deep retrieval models with noisy datasets: Bag exponential loss |
| training | Deformable Models for Localization |
| training | Deformable Object Models for Human Detection Based on Alignment and Clustering |
| training | Deformable Part Models with Decorrelated Features |
| training | Design and Channel Estimation in Uplink Cloud Radio Access Networks |
| training | DHMMs of mine and clutter to minimize landmine detection errors |
| training | Domain-invariant Object Detector Faster with Feature Replay and Slow Learner |
| training | Drift Counteraction Optimal Control Policies Using Reinforcement Learning: An Adaptive Cruise Control Example |
| training | Dynamical Binary Neural Networks with Equilibrium Propagation |
| training | Dynamics Aware Neural Network Optimization with Stabilization |
| training | Effective Node Classifiers for Cascade Classification |
| training | Efficient Semantic Segmentation CNNs on Multiple Datasets |
| training | environment for ISE courses, A |
| training | Faster by Separating Modes of Variation in Batch-Normalized Models |
| training | feedforward neural nets in Hopfield-energy-based configuration: A two-step approach |
| training | for Task Specific Keypoint Detection |
| training | Framework for Stack and Boolean Filtering: Fast Optimal-Design Procedures and Robustness Case-Study, A |
| training | Generative Adversarial Networks in One Stage |
| training | Hidden Markov Models with Multiple Observations: A Combinatorial Method |
| training | Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks |
| training | high dimension ternary features with GA in boosting cascade detector for object detection |
| training | High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation |
| training | Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization |
| training | In Innovative Technologies for Close-range Sensing In Alpine Terrain - 3rd Edition |
| training | in Pattern Recognition from a Small Number of Observations Using Projections Onto Null-space |
| training | in Virtual Environments for Hybrid Power Plant |
| training | inter-related classifiers for automatic image classification and annotation |
| training | Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters |
| training | Invertible Neural Networks as Autoencoders |
| training | Issues for Convolutional Neural Networks |
| training | linear ranking SVMs in linearithmic time using red-black trees |
| training | Machine Learning Algorithms Using Remote Sensing and Topographic Indices for Corn Yield Prediction |
| training | many-parameter shape-from-shading models using a surface database |
| training | Method for Image Compression Networks to Improve Perceptual Quality of Reconstructions, A |
| training | Methods of Multi-Label Prediction Classifiers for Hyperspectral Remote Sensing Images |
| training | Models of Shape from Sets of Examples |
| training | more discriminative multi-class classifiers for hand detection |
| training | Multi-Object Detector by Estimating Bounding Box Distribution for Input Image |
| training | Networks in Null Space of Feature Covariance for Continual Learning |
| training | neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows |
| training | Neural Networks by Lifted Proximal Operator Machines |
| training | Neural Networks on Remote Edge Devices for Unseen Class Classification |
| training | Neural Networks to Count White Blood Cells Via a Minimum Counting Error Objective Function |
| training | Noise-Robust Deep Neural Networks via Meta-Learning |
| training | Object Class Detectors from Eye Tracking Data |
| training | Object Class Detectors with Click Supervision |
| training | Object Detection Models with Weakly Labeled Data |
| training | object detectors from few weakly-labeled and many unlabeled images |
| training | Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer |
| training | Objective Image and Video Quality Estimators Using Multiple Databases |
| training | of Adversarial Networks |
| training | of an ML Neural Network for Classification via Recursive Reduction of the Class Separation |
| training | of an on-line handwritten Japanese character recognizer by artificial patterns |
| training | of Classifiers for Quality Control of On-Line Laser Brazing Processes with Highly Imbalanced Datasets |
| training | of classifiers using virtual samples only |
| training | of CNN with Heterogeneous Learning for Multiple Pedestrian Attributes Recognition Using Rarity Rate |
| training | of Hidden Markov Models for Cursive Handwritten Word Recognition |
| training | of Multilayer Perceptron Neural Networks by Using Cellular Genetic Algorithms |
| training | of Multiple and Mixed Tasks with a Single Network Using Feature Modulation |
| training | of Sparsely Connected MLPs |
| training | of Templates for Object Recognition in Invertible Orientation Scores: Application to Optic Nerve Head Detection in Retinal Images |
| training | of the Beta wavelet networks by the frames theory: Application to face recognition |
| training | on severely degraded text-line images |
| training | PDMs on models: the case of deformable superellipses |
| training | products of experts by minimizing contrastive divergence |
| training | Quality-Aware Filters for No-Reference Image Quality Assessment |
| training | Quantised Neural Networks with STE Variants: The Additive Noise Annealing Algorithm |
| training | Quantized Neural Networks With a Full-Precision Auxiliary Module |
| training | Rare Object Detection in Satellite Imagery with Synthetic GAN Images |
| training | Recurrent Neural Networks for Particulate Matter Concentration Prediction |
| training | Region-Based Object Detectors with Online Hard Example Mining |
| training | Researchers with the MOVING Platform |
| training | restricted Boltzmann machines: An introduction |
| training | Robust Deep Neural Networks via Adversarial Noise Propagation |
| training | robust models using Random Projection |
| training | Robust Object Detectors From Noisy Category Labels and Imprecise Bounding Boxes |
| training | Sample Migration Method for Wetland Mapping and Monitoring Using Sentinel Data in Google Earth Engine, A |
| training | sample selection for deep learning of distributed data |
| training | Schools for Conservation of Cultural Heritage: Between Expertise, Management and Education |
| training | sequence size in clustering algorithms and averaging single-particle images |
| training | sequential on-line boosting classifier for visual tracking |
| training | Set Size, Sample Size, Analysis, Selection |
| training | set size, scale, and features in Geographic Object-Based Image Analysis of very high resolution unmanned aerial vehicle imagery |
| training | Small Networks for Scene Classification of Remote Sensing Images via Knowledge Distillation |
| training | Socially Engaging Robots: Modeling Backchannel Behaviors with Batch Reinforcement Learning |
| training | Space Truncation in Vision-Based Recognition |
| training | Sparse Neural Networks |
| training | Spiking Neural Networks Using Lessons From Deep Learning |
| training | Strategies for Vision Transformers for Object Detection |
| training | Strategy for Limited Labeled Data by Learning from Confusion |
| training | Support Vector Machines on Large Sets of Image Data |
| training | Support Vector Machines with privacy-protected data |
| training | Support Vector Machines, SVM Training, Learning |
| training | Support Vector Machines, SVM Training, Learning |
| training | Support Vector Machines: An Application to Face Detection |
| training | Surrogate Sensors in Musical Gesture Acquisition Systems |
| training | System for Well-Writing Based on On-Line Character Recognition |
| training | Templates for Scene Classification using a Few Examples |
| training | TSVM with the proper number of positive samples |
| training | Very Deep CNNs for General Non-Blind Deconvolution |
| training | Vision Transformers with only 2040 Images |
| training | Weakly Supervised Video Frame Interpolation with Events |
| training | With Cache: Specializing Object Detectors From Live Streams Without Overfitting |
| training | with Corrupted Labels to Reinforce a Probably Correct Teamsport Player Detector |
| training | with Noise Adversarial Network: A Generalization Method for Object Detection on Sonar Image |
| training | with positive and negative data samples: Effects on a classifier for hand-drawn geometric shapes |
| training | With Uncertain Annotations for Semantic Segmentation of Basal Cell Carcinoma From Full-Field OCT Images |
| training | -Based Descreening |
| training | -Based Gradient LBP Feature Models for Multiresolution Texture Classification |
| training | -based no-reference image quality assessment algorithm, A |
| training | -Based Object Recognition in Cluttered 3D Point Clouds |
| training | -based Optimization Framework for Misclassification Correction, A |
| training | -Based Optimization of Soft Morphological Filters |
| training | -Based Spectral Reconstruction from a Single RGB Image |
| training | -free Classification Framework for Textures, Writers, and Materials, A |
| training | -Free Location-Aware Text-to-Image Synthesis |
| training | -Free Mesh Upsampling and Morphing Technique for 3D Face Rejuvuvenation, A |
| training | -Free Method for Generating Motion Video Clones From A Still Image Considering Self-Occlusion of Human Body |
| training | -free moving object detection system based on hierarchical color-guided motion segmentation |
| training | -free NAS for 3d Point Cloud Processing |
| training | -free nose tip detection method from face range images, A |
| training | -free Transformer Architecture Search |
| training | -Free, Generic Object Detection Using Locally Adaptive Regression Kernels |
| training | -Free, Lightweight Global Image Descriptor for Long-Term Visual Place Recognition Toward Autonomous Vehicles, A |
| training | -Free, Single-Image Super-Resolution Using a Dynamic Convolutional Network |
| training | -Sequence Assisted QAM-Concepts for Digital Terrestrial TV Transmission |
TransFace: Calibrating Transformer | training | for Face Recognition from a Data-Centric Perspective |
Transformer-based Cross-modal Recipe Embeddings with Large Batch | training | |
Transformer-Based Image Inpainting Detection via Label Decoupling and Constrained Adversarial | training | |
TTS-Guided | training | for Accent Conversion Without Parallel Data |
TTTFlow: Unsupervised Test-Time | training | with Normalizing Flow |
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step | training | Model |
TWIST: Two-Way Inter-label Self- | training | for Semi-supervised 3D Instance Segmentation |
Two Dimensions of Worst-case | training | and Their Integrated Effect for Out-of-domain Generalization, The |
Two-Dimensional Fingertip Force | training | With Improved Haptic Sensation via Stochastic Resonance |
Two-phase Pseudo Label Densification for Self- | training | Based Domain Adaptation |
Two-Stage Domain Adapted | training | for Better Generalization In Real-World Image Restoration and Super-Resolution |
Two-Stage Triplet Network | training | Framework for Image Retrieval, A |
Two-Stream Encoder GAN With Progressive | training | for Co-Saliency Detection |
UberNet: | training | a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory |
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre- | training | |
Unbiased Scene Graph Generation from Biased | training | |
Uncertain | training | Data Edition for Automatic Object-Based Change Map Extraction |
Uncertainty Guided Collaborative | training | for Weakly Supervised and Unsupervised Temporal Action Localization |
Uncertainty Guided Collaborative | training | for Weakly Supervised Temporal Action Detection |
Understanding and Accelerating Neural Architecture Search With | training | -Free and Theory-Grounded Metrics |
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial | training | |
Understanding Center Loss Based Network for Image Retrieval with Few | training | Data |
Understanding the Effects of Pre- | training | for Object Detectors via Eigenspectrum |
Unequal- | training | for Deep Face Recognition With Long-Tailed Noisy Data |
Uni-Perceiver: Pre- | training | Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks |
Unified Pre- | training | with Pseudo Texts for Text-To-Image Person Re-identification |
Unified Quality Assessment of in-the-Wild Videos with Mixed Datasets | training | |
Unified | training | of Feature Extractor and HMM Classifier for Speech Recognition |
Unified Visual Information Preservation Framework for Self-supervised Pre- | training | in Medical Image Analysis, A |
Unifying discriminative visual codebook generation with classifier | training | for object category recognition |
Unifying Event Detection and Captioning as Sequence Generation via Pre- | training | |
Unifying | training | and Inference for Panoptic Segmentation |
Unimodal Face Classification with Multimodal | training | |
Unimodal-Uniform Constrained Wasserstein | training | for Medical Diagnosis |
Universally Slimmable Networks and Improved | training | Techniques |
UniVIP: A Unified Framework for Self-Supervised Visual Pre- | training | |
Unleashing Potential of Unsupervised Pre- | training | with Intra-Identity Regularization for Person Re-Identification |
Unmasked Teacher: Towards | training | -Efficient Video Foundation Models |
Unpaired Thermal to Visible Spectrum Transfer Using Adversarial | training | |
Unpaired | training | of Deep Learning tMRA for Flexible Spatio-Temporal Resolution |
Unsupervised and simultaneous | training | of multiple object detectors from unlabeled surveillance video |
Unsupervised Anomaly Detection with Self- | training | and Knowledge Distillation |
Unsupervised Classification Using Spatial Region Growing Segmentation and Fuzzy | training | |
Unsupervised color classifier | training | for soccer player detection |
Unsupervised Cross-Modal Hashing Method Robust to Noisy | training | Image-Text Correspondences in Remote Sensing, An |
Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self- | training | |
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self- | training | |
Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self- | training | |
Unsupervised Domain Adaptation for | training | Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning |
Unsupervised Domain Adaptation with Adversarial Self- | training | for Crop Classification Using Remote Sensing Images |
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self- | training | |
Unsupervised Domain Adaptation with Noise Resistible Mutual- | training | for Person Re-identification |
Unsupervised Feature Selection Based on Ultrametricity and Sparse | training | Data: A Case Study for the Classification of High-Dimensional Hyperspectral Data |
Unsupervised Generation of Context-Relevant | training | -Sets for Visual Object Recognition Employing Multilinguality |
Unsupervised improvement of visual detectors using co- | training | |
Unsupervised Person Re-Identification Via Nearest Neighbor Collaborative | training | Strategy |
Unsupervised Person Re-Identification With Stochastic | training | Strategy |
Unsupervised Point Cloud Pre- | training | Via Contrasting and Clustering |
Unsupervised Point Cloud Pre- | training | via Occlusion Completion |
Unsupervised Pre- | training | Across Image Domains Improves Lung Tissue Classification |
Unsupervised Pre- | training | for Detection Transformers |
Unsupervised Pre- | training | for Person Re-identification |
Unsupervised Pre- | training | for Temporal Action Localization Tasks |
Unsupervised Pre- | training | of Image Features on Non-Curated Data |
Unsupervised Real-world Image Super Resolution via Domain-distance Aware | training | |
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial | training | |
Unsupervised | training | for 3D Morphable Model Regression |
UP-DETR: Unsupervised Pre- | training | for Object Detection with Transformers |
use of on-line co- | training | to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound, The |
use of on-line co- | training | to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound, The |
User Movement for Safety | training | in a Virtual Chemistry Lab |
User-adaptive hand gesture recognition system with interactive | training | |
Using a MRF-BP model with color adaptive | training | for underwater color restoration |
Using Beta Rhythm From EEG to Assess Physicians' Operative Skills in Virtual Surgical | training | |
Using classifiers as heuristics to describe local structure in Active Shape Models with small | training | sets |
Using Co- | training | and Self-training in Semi-supervised Multiple Classifier Systems |
Using Co- | training | and Self-training in Semi-supervised Multiple Classifier Systems |
Using ensemble margin to explore issues of | training | data imbalance and mislabeling on large area land cover classification |
Using HMD for Immersive | training | of Voice-Based Operation of Small Unmanned Ground Vehicles |
Using Meta Labels for the | training | of Weighting Models in a Sample-Specific Late Fusion Classification Architecture |
Using Pure Pollen Species When | training | a CNN to Segment Pollen Mixtures |
Using Simulated | training | Data of Voxel-Level Generative Models to Improve 3D Neuron Reconstruction |
Using the original and symmetrical face | training | samples to perform representation based two-step face recognition |
Using | training | Samples Retrieved from a Topographic Map and Unsupervised Segmentation for the Classification of Airborne Laser Scanning Data |
Using tree-grammars for | training | set expansion in page classification |
Using tri- | training | to exploit spectral and spatial information for hyperspectral data classification |
Using web images as additional | training | resource for the discriminative generalized hough transform |
Utilizing Digital Game Environments for | training | Prosthetic Use |
Utilizing Excess Resources in | training | Neural Networks |
Utilizing Image Scales Towards Totally | training | Free Blind Image Quality Assessment |
Validation of Machine Learning Techniques: Decision Trees and Finite | training | Set |
Value-Aware Quantization for | training | and Inference of Neural Networks |
Variational Adversarial Defense: A Bayes Perspective for Adversarial | training | |
Variational HyperAdam: A Meta-Learning Approach to Network | training | |
Vax-a-net: | training | -time Defence Against Adversarial Patch Attacks |
Vehicle Detection in Infrared Imagery Using Neural Networks with Synthetic | training | Data |
Vehicle detection with sub-class | training | using R-CNN for the UA-DETRAC benchmark |
Vehicle Re-Identification based on Ensembling Deep Learning Features including a Synthetic | training | Dataset, Orientation and Background Features, and Camera Verification. |
Versatile Multi-Modal Pre- | training | for Human-Centric Perception |
Very Efficient | training | of Convolutional Neural Networks using Fast Fourier Transform and Overlap-and-Add |
VICTOR: Visual incompatibility detection with transformers and fashion-specific contrastive pre- | training | |
Video Shadow Detection via Spatio-Temporal Interpolation Consistency | training | |
Video Super-Resolution Algorithm Using Bi-Directional Overlapped Block Motion Compensation and On-the-Fly Dictionary | training | |
Video Text Detection System Based on Automated | training | , A |
Video-Grounded Dialogues with Joint Video and Image | training | |
ViLTA: Enhancing Vision-Language Pre- | training | through Textual Augmentation |
Viola-Jones Based Detectors: How Much Affects the | training | Set? |
Virtual Adversarial | training | -Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification |
Virtual Adversarial | training | : A Regularization Method for Supervised and Semi-Supervised Learning |
Virtual Fully-Connected Layer: | training | a Large-Scale Face Recognition Dataset with Limited Computational Resources |
Virtual Reality Based Navigation | training | for Astronaut Moving in a Simulated Space Station |
Virtual Reality Based Space Operations: A Study of ESA's Potential for VR Based | training | and Simulation |
Virtual Reality for | training | Diagnostic Skills in Anorexia Nervosa: A Usability Assessment |
Virtual Reality is Better Than Desktop for | training | a Spatial Knowledge Task, but Not for Everyone |
Virtual Reality Medical | training | System, A |
Virtual Reality Sickness Evaluation in Exergames for Older Hypertensive Patients: A Comparative Study of | training | Methods in a Virtual Environment |
virtual reality simulator for | training | endodontics procedures using manual files, A |
Virtual Reality | training | Application for Adults With Asperger's Syndrome, A |
Virtual Reality | training | to Enhance Motor Skills |
Virtual | training | for a Real Application: Accurate Object-Robot Relative Localization Without Calibration |
Virtual | training | for Multi-View Object Class Recognition |
Virtual | training | Sample Generation by Generative Adversarial Networks for Hyperspectral Images Classification |
Virtual | training | System Based on the Physiological Cycle of the Potato INIAP Suprema |
Virtual-Reality-Based | training | and Assessment System for Bridge Inspectors With an Assistant Drone, A |
Vision-Language Pre- | training | for Boosting Scene Text Detectors |
Vision-Language Pre- | training | with Triple Contrastive Learning |
Vision-Language Pre- | training | : Basics, Recent Advances, and Future Trends |
Visual Atoms: Pre- | training | Vision Transformers with Sinusoidal Waves |
Visual Programming: Compositional visual reasoning without | training | |
VL-SAT: Visual-Linguistic Semantics Assisted | training | for 3D Semantic Scene Graph Prediction in Point Cloud |
VLCDoC: Vision-Language contrastive pre- | training | model for cross-Modal document classification |
Vocabulary-Wide Credit Assignment for | training | Image Captioning Models |
Volume segmentation using convolutional neural networks with limited | training | data |
VoTrE: A Vocational | training | and Evaluation System to Compare Training Approaches for the Workplace |
VoTrE: A Vocational | training | and Evaluation System to Compare Training Approaches for the Workplace |
VQA With No Questions-Answers | training | |
VR Alpine Ski | training | Augmentation using Visual Cues of Leading Skier |
Wasserstein GANs for MR Imaging: From Paired to Unpaired | training | |
We Don't Need No Bounding-Boxes: | training | Object Class Detectors Using Only Human Verification |
Weakly Supervised Facial Action Unit Recognition Through Adversarial | training | |
Weakly supervised pedestrian detector | training | by unsupervised prior learning and cue fusion in videos |
Weakly Supervised RGB-D Salient Object Detection With Prediction Consistency | training | and Active Scribble Boosting |
Weakly Supervised Temporal Sentence Grounding with Uncertainty-Guided Self- | training | |
Weakly Supervised | training | of a Sign Language Recognition System Using Multiple Instance Learning Density Matrices |
Weakly supervised | training | of deep convolutional neural networks for overhead pedestrian localization in depth fields |
Weakly-supervised pre- | training | for 3D human pose estimation via perspective knowledge |
Web-scale | training | for face identification |
Weight-Selection Strategy on | training | Deep Neural Networks for Imbalanced Classification, A |
Weighted BDPCA Based on Local Feature for Face Recognition with a Single | training | Sample |
Weighted Point Cloud Augmentation for Neural Network | training | Data Class-imbalance |
Weighted SVM with classification uncertainty for small | training | samples |
What is the minimum | training | data size to reliably identify writers in medieval manuscripts? |
What Makes Good Synthetic | training | Data for Learning Disparity and Optical Flow Estimation? |
What Makes | training | Multi-Modal Classification Networks Hard? |
Wheat Yield Prediction Using Unmanned Aerial Vehicle RGB-Imagery-Based Convolutional Neural Network and Limited | training | Samples |
Which CNNs and | training | Settings to Choose for Action Unit Detection? A Study Based on a Large-Scale Dataset |
Which is the Better Inpainted Image? | training | Data Generation Without Any Manual Operations |
Why ReLU Networks Yield High-Confidence Predictions Far Away From the | training | Data and How to Mitigate the Problem |
Wide Area Multiview Static Crowd Estimation System Using UAV and 3D | training | Simulator, A |
Winner takes all hashing for speeding up the | training | of neural networks in large class problems |
Word-level | training | of a handwritten word recognizer based on convolutional neural networks |
Writer Adaptive | training | and Writing Variant Model Refinement for Offline Arabic Handwriting Recognition |
Writer identification by | training | on one script but testing on another |
Xavier Electromyographic Wheelchair Control and Virtual | training | |
XMP-Font: Self-Supervised Cross-Modality Pre- | training | for Few-Shot Font Generation |
xR-Based Systems for Mindfulness Based | training | in Clinical Settings |
XVO: Generalized Visual Odometry via Cross-Modal Self- | training | |
Yoga Posture Recognition for Self- | training | |
You Already Have It: A Generator-Free Low-Precision DNN | training | Framework Using Stochastic Rounding |
Zero-shot temporal event localisation: Label-free, | training | -free, domain-free |
2413 for training