| _ | 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 |
| 360PanT: | training | -Free Text-Driven 360-Degree Panorama-to-Panorama Translation |
| 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised | training | |
| 3D Human Pose Estimation with Two-step Mixed- | training | Strategy |
| 3D Kinematics Estimation from Video with a Biomechanical Model and Synthetic | training | Data |
| 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-2D Rigid Liver Registration Method Using Pre- | training | and Transfer Learning With Staged Alignment of Anatomical Landmarks, A |
| 3D-aware Facial Landmark Detection via Multi-view Consistent | training | on Synthetic Data |
| 3DGStream: On-the-Fly | training | of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos |
| 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 Cascade Classifier | training | with Genetic Algorithms for Edge ML Applications |
| 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 Neural Field | training | via Soft Mining |
| 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 |
| Accurate | training | Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory |
| Achievement-based | training | Progress Balancing for Multi-Task Learning |
| Achieving Generalizable Robustness of Deep Neural Networks by Stability | training | |
| Achieving high performance on sketch-based image retrieval without real sketches for | training | |
| Acoustic HMMs to Detect Abnormal Respiration with Limited | training | Data |
| ACT-Diffusion: Efficient Adversarial Consistency | training | for One-Step Diffusion Models |
| ACTIS: Improving data efficiency by leveraging semi-supervised Augmentation Consistency | training | for Instance Segmentation |
| Activation Density Driven Efficient Pruning in | training | |
| Active Bidirectional Self- | training | Network for Cross-Domain Segmentation in Remote-Sensing Images |
| 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 | |
| Ada-VE: | training | -Free Consistent Video Editing Using Adaptive Motion Prior |
| AdaFocus V2: End-to-End | training | of Spatial Dynamic Networks for Video Recognition |
| Adalog: Post- | training | Quantization for Vision Transformers with Adaptive Logarithm Quantizer |
| Adapting Deep Neural Networks for Pedestrian-Detection to Low-Light Conditions without Re- | training | |
| Adapting to the Unknown: | training | -Free Audio-Visual Event Perception with Dynamic Thresholds |
| 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 feature alignment for adversarial | training | |
| 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 Non-uniform Timestep Sampling for Accelerating Diffusion Model | training | |
| 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 ALS Applications with Large-Scale Pre- | training | : Framework, Dataset, and Downstream Assessment |
| Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial | training | |
| Advancing Myopia To Holism: Fully Contrastive Language-Image Pre- | training | |
| Advancing Real-World Image Dehazing: Perspective, Modules, and | training | |
| Adversarial and focused | training | of abnormal videos for weakly-supervised anomaly detection |
| Adversarial Coreset Selection for Efficient Robust | training | |
| Adversarial Feature | training | for Few-Shot Object Detection |
| 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 self- | training | for robustness and generalization |
| 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 Anti-Adversaries |
| 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 |
| AEROBLADE: | training | -Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error |
| Aesthetic Post- | training | Diffusion Models from Generic Preferences with Step-by-step Preference Optimization |
| 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 |
| AITEPose: Learning an End-to-End Monocular 3D Human Pose Estimator via Auxiliary-Information-Driven | training | Enhancement |
| ALAT: Adversarial Label-guided Adversarial | training | |
| 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 |
| ALPS: An Auto-Labeling and Pre- | training | Scheme for Remote Sensing Segmentation With Segment Anything Model |
| Alternating Genetic Algorithm for Selecting SVM Model and | training | Set, An |
| AMP-ViT: Optimizing Vision Transformer Efficiency with Adaptive Mixed-Precision Post- | training | Quantization |
| 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 Initial | training | Strategies for Exemplar-Free Class-Incremental Learning, An |
| 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 and Improving the | training | Dynamics of Diffusion Models |
| Analyzing the Implicit Bias of Adversarial | training | From a Generalized Margin Perspective |
| Analyzing | training | Information From Random Forests for Improved Image Segmentation |
| Annotated Dataset for | training | Cloud Segmentation Neural Networks Using High-Resolution Satellite Remote Sensing Imagery |
| 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 |
| APHQ-ViT: Post- | training | Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers |
| 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 |
| APT: Adaptive Personalized | training | for Diffusion Models with Limited Data |
| 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 |
| ASROT: A Novel Resampling Algorithm to Balance | training | Datasets for Classification of Minor Crops in High-Elevation Regions |
| 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 |
| Assessing the Impact of Mixed Pixel Proportion | training | Data on SVM-Based Remote Sensing Classification: A Simulated Study |
| 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 Masked Distillation for Pre- | training | Small Foundation Models |
| Asymmetric | training | in RealnessGAN |
| Asymptotic error rates of the W and Z statistics when the | training | observations are dependent |
| AT-PMF: Progressive multi-modal fusion with adversarial | training | for physiological emotion recognition |
| ATF: An Alternating | training | Framework for Weakly Supervised Face Alignment |
| ATM-NeRF: Accelerating | training | for NeRF Rendering on Mobile Devices via Geometric Regularization |
| Attend to Not Attended: Structure-then-Detail Token Merging for Post- | training | DiT Acceleration |
| Attention-Based Residual Network with Scattering Transform Features for Hyperspectral Unmixing with Limited | training | Samples |
| Attention-Driven | training | -Free Efficiency Enhancement of Diffusion Models |
| 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 |
| Auto-das: Automated Proxy Discovery for | training | -free Distillation-aware Architecture Search |
| Auto-GAS: Automated Proxy Discovery for | training | -free Generative Architecture Search |
| Autoad-zero: A | training | -free Framework for Zero-shot Audio Description |
| 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 |
| Autoencoder-based | training | for multi-illuminant color constancy |
| 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 Joint Structured Pruning and Quantization for Efficient Neural Network | training | and Compression |
| 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 action unit model for facial expression adversarial | training | |
| Auxiliary | training | : Towards Accurate and Robust Models |
| Avatar-Based Feedback in Job Interview | training | Impacts Action Identities and Anxiety |
| 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 feature fusion collaborative | training | for semi-supervised medical image segmentation |
| 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 Distributed Target Detectors in Compound-Gaussian Clutter Against Subspace Interference with Limited | training | Data |
| Bayesian regression selecting valuable subset from mixed bag | training | data |
| Bayesian Self- | training | for Semi-supervised 3d Segmentation |
| Bayesian | training | of neural networks using genetic programming |
| Beacon: Post- | training | Quantization With Integrated Grid Selection |
| 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 |
| beta-FFT: Nonlinear Interpolation and Differentiated | training | Strategies for Semi-Supervised Medical Image Segmentation |
| BEV@DC: Bird's-Eye View Assisted | training | for Depth Completion |
| Beyond Clean | training | Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data |
| Beyond Clean | training | Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data |
| Beyond Fixed Topologies: Unregistered | training | and Comprehensive Evaluation Metrics for 3D Talking Heads |
| Beyond masking: Demystifying token-based pre- | training | for vision transformers |
| Beyond Single Reference for | training | : Underwater Image Enhancement via Comparative Learning |
| Bi-directional | training | for Composed Image Retrieval via Text Prompt 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 |
| Bias-Free | training | Paradigm for More General AI-generated Image Detection, A |
| 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 |
| BIVDiff: A | training | -Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models |
| Bkdsnn: Enhancing the Performance of Learning-based Spiking Neural Networks | training | with Blurred Knowledge Distillation |
| Black Gram Disease Classification via Deep Ensemble Model with Optimal | training | |
| Blind Image Quality Assessment for Authentic Distortions by Intermediary Enhancement and Iterative | training | |
| Blind Image Quality Assessment Without Human | training | Using Latent Quality Factors |
| Blind Universal Denoising for Radar Micro-Doppler Spectrograms Using Identical Dual Learning and Reciprocal Adversarial | training | |
| Blindly Assess Quality of In-the-Wild Videos via Quality-Aware Pre- | training | and Motion Perception |
| Block Selective Reprogramming for On-device | training | of Vision Transformers |
| BNN - BN = ?: | training | Binary Neural Networks without Batch Normalization |
| Body shape diversity in the | training | data and consequences on motion generation |
| Bokeh-Loss GAN: Multi-stage Adversarial | training | for Realistic Edge-aware Bokeh |
| BOLT: Boost Large Vision-Language Model Without | training | for Long-Form Video Understanding |
| Bone suppression in chest radiographs by means of anatomically specific multiple massive- | training | ANNs |
| Boost the Inference with Co- | training | : A Depth-Guided Mutual Learning Framework for Semi-Supervised Medical Polyp Segmentation |
| Boosted Co- | training | Algorithm for Human Action Recognition, A |
| Boosting 3d Single Object Tracking with 2D Matching Distillation and 3D Pre- | training | |
| Boosting Active Prompt Learning via Discriminative Self- | training | Dual-Curriculum Learning |
| Boosting Adversarial | training | via Fisher-Rao Norm-Based Regularization |
| Boosting Adversarial | training | with Hardness-Guided Attack Strategy |
| 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 sharpness-aware | training | with dynamic neighborhood |
| Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-consistency | training | |
| Boosting Verified | training | for Robust Image Classifications via Abstraction |
| Bootstap: Bootstrapped | training | for Tracking-any-point |
| Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre- | training | |
| BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data | training | |
| BORT2: Bi-level optimization for robust target | training | in multi-source domain adaptation |
| 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 Synthetic and Real Worlds for Pre- | training | Scene Text Detectors |
| Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive | training | Sample Selection |
| Bridging the Modality Gap: | training | -Free Adaptation of Vision-Language Models for Remote Sensing via Visual Prototypes |
| Broad Study of Pre- | training | for Domain Generalization and Adaptation, A |
| BT2: Backward-compatible | training | with Basis Transformation |
| Bucketed Ranking-based Losses for Efficient | training | of Object Detectors |
| Building a Representative | training | Set Based on Eigenimages |
| Building a Strong Pre- | training | Baseline for Universal 3D Large-Scale Perception |
| 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 |
| ByTheWay: Boost Your Text-to-Video Generation Model to Higher Quality in a | training | -free Way |
| 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 |
| Camera Height Doesn't Change: Unsupervised | training | for Metric Monocular Road-scene Depth Estimation |
| Camouflaged object segmentation with prior via two-stage | training | |
| Can self- | training | identify suspicious ugly duckling lesions? |
| Can Shuffling Video Benefit Temporal Bias Problem: A Novel | training | Framework for Temporal Grounding |
| Can the accuracy bias by facial hairstyle be reduced through balancing the | training | data? |
| 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 Forward algorithm for neural network | training | , The |
| 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 | |
| CGD-MAE: Clip Distillation-Driven Pre- | training | Framework for Vehicle Re-Identification |
| 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 |
| Check, Locate, Rectify: A | training | -Free Layout Calibration System for Text- to- Image Generation |
| 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 |
| CLAMP-VIT: Contrastive Data-free Learning for Adaptive Post- | training | Quantization of VITs |
| Class Incremental Learning with Self-Supervised Pre- | training | and Prototype Learning |
| 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 as RNN: Segment Countless Visual Concepts without | training | Endeavor |
| 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 Benchmarking Self-supervised Pre- | training | with Image Classification, A |
| 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 explainability of Contrastive language-image pre- | training | , A |
| Closer Look at the Joint | training | of Object Detection and Re-Identification in Multi-Object Tracking, A |
| Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model | training | , A |
| Closing the | training | -sampling gap in conditional diffusion models for versatile image restoration |
| CLOT: Contrastive Learning-Driven and Optimal Transport-Based | training | for Simultaneous Clustering |
| CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre- | training | Using Aggregated Point Clouds and MoCo |
| 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 | Vision-Language Models for Remote Sensing Multi-Task Learning |
| Co- | training | with noisy perceptual observations |
| co- | training | , mutual learning approach towards mapping snow cover from multi-temporal high-spatial resolution satellite imagery, A |
| COAP: Memory-Efficient | training | with Correlation-Aware Gradient Projection |
| 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 |
| Combined Tri-Classifiers for IoT Botnet Detection with Tuned | training | Weights |
| 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 |
| Complexity-Aware Dynamic Gradient Shifting: A Novel Soft Supervision | training | Strategy for 3D Pose Estimation and Regression Learning |
| Component-based LDA method for face recognition with one | training | sample |
| Composed Image Retrieval for | training | -FREE DOMain Conversion |
| Composite Correlation Filters for Detection of Geometrically Distorted Objects Using Noisy | training | Images |
| Compositional Caching for | training | -free Open-vocabulary Attribute Detection |
| 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 |
| Condense loss: Exploiting vector magnitude during person Re-identification | training | process |
| Condense: Consistent 2d/3d Pre- | training | for Dense and Sparse Features from Multi-view 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 |
| CoNPL: Consistency | training | framework with noise-aware pseudo labeling for dense pose estimation |
| Consecutive Pre- | training | : A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain |
| Conservative Wasserstein | training | for Pose Estimation |
| consistency regularization | training | method for automatic modulation classification under incomplete information, A |
| Consistency Self- | training | Semi-Supervised Method for Road Extraction from Remote Sensing Images |
| Consistency-aware Self- | training | for Iterative-based Stereo Matching |
| Consistency-Guided Adaptive Alternating | training | for Semi-Supervised Salient Object Detection |
| Constrained Spectral Clustering Network with Self- | training | |
| Constructing and | training | feed-forward neural networks for pattern classification |
| Constructing Balanced | training | Samples: A New Perspective on Long-Tailed Classification |
| Content-adaptive Style Transfer: A | training | -free Approach with Vq Autoencoders |
| 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 Domain Adaptation with Test-Time | training | for Out-of-Context News Detection |
| Contrastive domain-adaptive graph selective self- | training | network for cross-network edge classification |
| Contrastive Ground-level Image and Remote Sensing Pre- | training | Improves Representation Learning for Natural World Imagery |
| Contrastive Learning for Self-Supervised Pre- | training | of Point Cloud Segmentation Networks With Image Data |
| Contrastive learning of graph encoder for accelerating pedestrian trajectory prediction | training | |
| Contrastive Learning With Enhancing Detailed Information for Pre- | training | Vision Transformer |
| Contrastive Pre- | training | with Multi-View Fusion for No-Reference Point Cloud Quality Assessment |
| Contrastive Region Guidance: Improving Grounding in Vision-language Models Without | training | |
| Contrastive Self-Supervised Pre- | training | for Video Quality Assessment |
| Contrastive Vision-Language Pre- | training | with Limited Resources |
| Contribution-based Low-rank Adaptation with Pre- | training | Model for Real Image Restoration |
| 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 |
| COSMOS: Cross-Modality Self-Distillation for Vision Language Pre- | training | |
| COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self- | training | |
| 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 |
| CPR-Coach: Recognizing Composite Error Actions Based on Single-Class | training | |
| CQ+ | training | : Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to Spiking Neural Networks |
| CRAFT: Contextual Re-Activation of Filters for face recognition | training | |
| Crafting Distribution Shifts for Validation and | training | in Single Source Domain Generalization |
| 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-input Certified | training | for Universal Perturbations |
| Cross-Modal Contrastive Pre- | training | for Few-Shot Skeleton Action Recognition |
| Cross-Modal Self- | training | : Aligning Images and Pointclouds to learn Classification without Labels |
| Cross-Modality Automatic Face Model | training | from Large Video Databases |
| Cross-Modality Image Registration Using a | training | -Time Privileged Third Modality |
| Cross-Modality Prompts: Few-Shot Multi-Label Recognition With Single-Label | training | |
| Cross-Referencing Self- | training | Network for Sound Event Detection in Audio Mixtures |
| Cross- | training | Deep Neural Networks for Learning from Label Noise |
| CrossMAE: Cross-Modality Masked Autoencoders for Region-Aware Audio-Visual Pre- | training | |
| CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency | training | |
| Crosspar: Enhancing Pedestrian Attribute Recognition with Vision-language Fusion and Human-centric Pre- | 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 |
| Curriculum-Style Self- | training | Approach for Source-Free Semantic Segmentation, A |
| Curvature-Aware | training | for Coordinate Networks |
| Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative | training | |
| 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 | |
| CvFormer: Cross-view transFormers with pre- | training | for fMRI analysis of human brain |
| cViL: Cross-Lingual | training | of Vision-Language Models using Knowledge Distillation |
| CXPMRG-Bench: Pre- | training | and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset |
| 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 |
| Cycle | training | with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection |
| Cycle Translation-Based Collaborative | training | for Hyperspectral-RGB Multimodal Change Detection |
| Cycle-Based Frequency Disentanglement Diffusion Model With Self- | training | for Cross-Domain Hyperspectral-RGB Change Detection |
| 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 |
| Dark channel map and union | training | strategy for object detection in foggy scenes |
| 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 | |
| Data Generation for Hardware-Friendly Post- | training | Quantization |
| Dataset Culling: Towards Efficient | training | of Distillation-Based Domain Specific Models |
| Dataset Distillation by Automatic | training | Trajectories |
| 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 |
| DC²T: Disentanglement-Guided Consolidation and Consistency | training | for Semi-Supervised Cross-Site Continual Segmentation |
| 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 | |
| Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre- | training | Framework |
| Decoupled 3D Facial Shape Model by Adversarial | training | , A |
| Decoupling representation learning and classifier for long-tailed adversarial | training | |
| Decoupling | training | -Free Guided Diffusion by ADMM |
| Deduce and Select Evidences with Language Models for | training | -Free Video Goal Inference |
| 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 enhanced monocular visual odometry: Advancements in fusion mechanisms and | training | strategies |
| 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 | training | Framework for Solving Data Explosion Problem in DOA Estimation |
| 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 | , Learning, 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 unsupervised shadow detection with curriculum learning and self- | training | |
| 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 | |
| DeiT-LT: Distillation Strikes Back for Vision Transformer | training | on Long-Tailed Datasets |
| 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 |
| DELT: A Simple Diversity-driven EarlyLate | training | for Dataset Distillation |
| DeltaEdit: Exploring Text-free | training | for Text-Driven Image Manipulation |
| Delving into Data: Effectively Substitute | training | for Black-box Attack |
| Delving into Pre- | training | for Domain Transfer: A Broad Study of Pre-training for Domain Generalization and Domain Adaptation |
| Delving into Pre- | training | for Domain Transfer: A Broad Study of Pre-training for Domain Generalization and Domain Adaptation |
| Delving Into the | training | Dynamics for Image Classification |
| 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 |
| DePS: Delayed-espilon-shrinking for Faster Once-for-all | training | |
| Depth Dropout: Efficient | training | of Residual Convolutional Neural Networks |
| Depth Restoration via Joint | training | of a Global Regression Model and CNNs |
| Depth-Aware Test-Time | training | for Zero-Shot Video Object Segmentation |
| Depth-guided NeRF | training | via Earth Mover's Distance |
| 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 |
| Desensitizing for improving corruption robustness in point cloud classification through adversarial | training | |
| Design Choices for Enhancing Noisy Student Self- | training | |
| 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 Long-Term Spatiotemporal Dynamics of Urban Green Spaces with | training | Sample Migration Method |
| 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 MR | training | System for Living Donor Liver Transplantation Using Simulated Liver Phantom and ICP Tracking Technology |
| 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 |
| Diff2Flow: | training | Flow Matching Models via Diffusion Model Alignment |
| Diffloss: Unleashing Diffusion Model as Constraint for | training | Image Restoration Network |
| Diffusion Augmentation and Pose Generation Based Pre- | training | Method for Robust Visible-Infrared Person Re-Identification |
| Diffusion augmented complex adaptive IIR algorithm for | training | widely linear ARMA models |
| Diffusion Model is Secretly a | training | -Free Open Vocabulary Semantic Segmenter |
| DigiDogs: Single-View 3D Pose Estimation of Dogs Using Synthetic | training | Data |
| DIMAT: Decentralized Iterative Merging-and- | training | for Deep Learning 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 Pre- | training | for Human-Object Interaction Detection |
| Disentangled Pre- | training | for Image Matting |
| 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 Regression Enhanced With Temporal Information Fusion and Adversarial | training | for Robot-Assisted Endomicroscopy |
| 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 |
| DM-GAN: CNN hybrid vits for | training | GANs under limited data |
| 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 |
| DocTTT: Test-Time | training | for Handwritten Document Recognition Using Meta-Auxiliary Learning |
| Does Image Anonymization Impact Computer Vision | training | ? |
| Does Interference Exist When | training | a Once-For-All Network? |
| Does the Fairness of Your Pre- | training | Hold Up? Examining the Influence of Pre-Training Techniques on Skin Tone Bias in Skin Lesion Classification |
| Does the Fairness of Your Pre- | training | Hold Up? Examining the Influence of Pre-Training Techniques on Skin Tone Bias in Skin Lesion Classification |
| 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 LiDAR Point Cloud Segmentation via Density-Aware Self- | training | |
| Domain Adaptive Object Detection via Balancing Between Self- | training | and Adversarial Learning |
| Domain aware post | training | quantization for vision transformers in deployment |
| 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 |
| Domain-Interactive Contrastive Learning and Prototype-Guided Self- | training | for Cross-Domain Polyp Segmentation |
| DomainVerse: A Benchmark Towards Real-World Distribution Shifts for | training | -Free Adaptive Domain Generalization |
| Don't Be So Dense: Sparse-to-Sparse GAN | training | Without Sacrificing Performance |
| Don't Drop Your Samples! Coherence-Aware | training | Benefits Conditional Diffusion |
| 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 |
| Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre- | training | via Differentiable Rendering of Line Segments |
| 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 |
| Dreamlip: Language-image Pre- | training | with Long Captions |
| 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 |
| DSMIX: Distortion-induced Sensitivity Map Based Pre- | training | for No-reference Image Quality Assessment |
| DST-Det: Open-Vocabulary Object Detection via Dynamic Self- | training | |
| DST: Dynamic Substitute | training | for Data-free Black-box Attack |
| DSTA: Reinforcing Vision-Language Understanding for Scene-Text VQA With Dual-Stream | training | Approach |
| 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 |
| Dual-Schedule Inversion: | training | - and Tuning-Free Inversion for Real Image Editing |
| Dual-space Co- | training | for Large-scale Multi-view Clustering |
| DualCIR: Enhancing | training | -Free Composed Image Retrieval via Dual-Directional Descriptions |
| DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN | training | |
| DyFo: A | training | -Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding |
| DyMO: | training | -Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling |
| 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 | |
| Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient | training | |
| Earth Observation Multi-Spectral Image Fusion with Transformers for Sentinel-2 and Sentinel-3 Using Synthetic | training | Data |
| ECO-AI: Energy-Conscious Optimization for AI | 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 |
| EEG Neurofeedback-Based Gait Motor Imagery | training | in Lokomat Enhances Motor Rhythms in Complete Spinal Cord Injury |
| 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 | Dataset Size on Discriminative and Diffusion-Based Speech Enhancement Systems, The |
| 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 and Robust Adversarial | training | Against Data and Label Corruptions |
| 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 | and Inference Strategies for Point Classification in LiDAR Scenes |
| 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 |
| Effectiveness of | training | with Procedurally Generated Synthetic Images of Crop Plants |
| 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 Markers in | training | Datasets on the Accuracy of 6D Pose Estimation |
| 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 community-aware pre- | training | method for graph neural networks, An |
| 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 Image Pre- | training | with Siamese Cropped Masked Autoencoders |
| 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 Pre- | training | for Localized Instruction Generation of Procedural Videos |
| 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 Synchronous | training | Integrated Model for Driving Decision-Making Based on Deep Reinforcement Learning, An |
| Efficient Token-Guided Image-Text Retrieval With Consistent Multimodal Contrastive | training | |
| Efficient | training | Acceleration via Sample-Wise Dynamic Probabilistic Pruning |
| 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 Spiking Neural Networks with Multi-parallel Implicit Stream Architecture |
| Efficient | training | of Very Deep Neural Networks for Supervised Hashing |
| Efficient | training | Over Long Short-Term Memory Networks for Wind Speed Forecasting |
| Efficient | training | with Denoised Neural Weights |
| efficient | training | -from-scratch framework with BN-based structural compressor, An |
| Efficient Urban Flood Mapping Framework Towards Disaster Response Driven by Weakly Supervised Semantic Segmentation with Decoupled | training | Samples, An |
| Efficient VideoMAE via Temporal Progressive | training | |
| Efficient Vision-Language Pre- | training | by Cluster Masking |
| Efficiently Creating 3D | training | Data for Fine Hand Pose Estimation |
| Efficiently | training | a better visual detector with sparse eigenvectors |
| EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone | training | |
| 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 |
| EIDT-V: Exploiting Intersections in Diffusion Trajectories for Model-Agnostic, Zero-Shot, | training | -Free Text-to-Video Generation |
| 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 |
| EinsPT: Efficient Instance-Aware Pre- | training | of Vision Foundation Models |
| ElasticDiffusion: | training | -Free Arbitrary Size Image Generation Through Global-Local Content Separation |
| 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 |
| Elodi: Ensemble Logit Difference Inhibition for Positive-Congruent | training | |
| Emerging Property of Masked Token for Effective Pre- | training | |
| 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 |
| Empirical Study on | training | Paradigms for Deep Supervised Hashing, 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 Latent Space Diffusion Models for Conformational Heterogeneity in Cryo-EM Reconstruction |
| 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-aware and dynamic | training | of deep neural networks (EADTrain) for sustainable AI |
| Energy-based Self- | training | and Normalization for Unsupervised Domain Adaptation |
| Energy-constrained Self- | training | for Unsupervised Domain Adaptation |
| Energy-Efficient Federated Learning | training | Optimization for Digital Twin Driven 6G Air-Ground Integrated Vehicular Networks |
| 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 Pseudo-Label Generation With Self-Supervised | training | for Weakly- Supervised Semantic Segmentation |
| Enhanced Single-Pair Learning-Based Reflectance Fusion Algorithm with Spatiotemporally Extended | training | Samples, An |
| Enhanced Sparsification via Stimulative | training | |
| Enhanced Super-resolution | training | via Mimicked Alignment for Real-world Scenes |
| Enhanced | training | of Query-Based Object Detection via Selective Query Recollection |
| Enhanced U-Net Model for Precise Oral Epithelial Layer Segmentation Using Patch-Based | training | , An |
| Enhancing abusive language detection: A domain-adapted approach leveraging BERT pre- | training | tasks |
| Enhancing Adversarial | training | with Second-Order Statistics of Weights |
| Enhancing Adversarial Transferability with Checkpoints of a Single Model's | training | |
| Enhancing Cropland Mapping with Spatial Super-Resolution Reconstruction by Optimizing | training | Samples for Image Super-Resolution Models |
| Enhancing Domain Generalisability for Lung Nodule Detection: A Hybrid Strategy with Multi-Source | training | and MixStyle |
| Enhancing Few-Shot Class-Incremental Learning via | training | -Free Bi-Level Modality Calibration |
| Enhancing inverse halftoning via coupled dictionary | training | |
| Enhancing Post- | training | Quantization Calibration Through Contrastive Learning |
| Enhancing Real-World Active Speaker Detection With Multi-Modal Extraction Pre- | 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 Vision-Language Pre- | training | with Rich Supervisions |
| 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 |
| Error-Aware Conversion from ANN to SNN via Post- | training | Parameter Calibration |
| Essential Number of Principal Components and Nearly | training | -Free Model for Spectral Analysis |
| 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 | |
| ET: Explain to Train: Leveraging Explanations to Enhance the | training | of a Multimodal Transformer |
| 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 Dense Pre- | training | |
| Event Camera Data Pre- | training | |
| EviPrompt: A | training | -Free Evidential Prompt Generation Method for Adapting Segment Anything Model in Medical Images |
| Evolutionary Approach to | training | Relaxation Labeling Processes, An |
| Evolutionary Search via channel attention based parameter inheritance and stochastic uniform sampled | training | |
| Evolving Into a Transformer: From a | training | -Free Retrieval-Based Method for Anomaly Obstacle Segmentation |
| EVOS: Efficient Implicit Neural | training | via EVOlutionary Selector |
| 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 |
| Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre- | training | , An |
| Explaining in Style: | training | a GAN to explain a classifier in StyleSpace |
| Explanation-Guided | training | for Cross-Domain Few-Shot Classification |
| Explore the Potential of CLIP for | training | -free Open Vocabulary Semantic Segmentation |
| Exploring a Non-Parametric Uncertain Adaptive | training | method for facial expression recognition |
| Exploring Adversarially Robust | training | for Unsupervised Domain Adaptation |
| Exploring Bidirectional Bounds for Minimax- | training | of Energy-Based Models |
| Exploring complementary information of self-supervised pretext tasks for unsupervised video pre- | training | |
| Exploring Contrastive Pre- | training | for Domain Connections in Medical Image Segmentation |
| 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 Facial Expression Recognition through Semi-Supervised Pre- | training | and Temporal Modeling |
| 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 Limits of Diffusion-synthetic | training | with Weakly Supervised Semantic Segmentation |
| 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 Scalability of Self- | training | for Open-Vocabulary Temporal Action Localization |
| 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 | |
| Exploring | training | data-free video generation from a single image via a stable diffusion model |
| Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre- | training | Models with Contrastive Learning |
| 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 | |
| Eyes on Islanded Nodes: Better Reasoning via Structure Augmentation and Feature Co- | training | on Bi-Level Knowledge Graphs |
| 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 Action Units as a Joint Dataset | training | Bridge for Facial Expression Recognition |
| 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 |
| Factor annealing decoupling compositional | training | method for imbalanced hyperspectral image classification |
| Factors Affecting the | training | of a WISARD Classifier for Monitoring Fish Underwater |
| Fair Scratch Tickets: Finding Fair Sparse Networks without Weight | training | |
| FAIR-TAT: Improving Model Fairness Using Targeted Adversarial | 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 |
| Fantom: Federated Adversarial Network for | training | Multi-Sequence Magnetic Resonance Imaging in Semantic Segmentation |
| 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 Diffusion Transformer with Extreme Masking for 3d Point Clouds Generation |
| 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 |
| FastFace: Fast-Converging Scheduler for Large-Scale Face Recognition | training | With One GPU |
| 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 |
| FFF: Fixing Flawed Foundations in contrastive pre- | training | results in very strong Vision-Language models |
| Fictitious GAN: | training | GANs with Historical Models |
| Field-Scale Rice Area and Yield Mapping in Sri Lanka with Optical Remote Sensing and Limited | training | Data |
| Filter Response Normalization Layer: Eliminating Batch Dependence in the | training | of Deep Neural Networks |
| Filtering, Distillation, and Hard Negatives for Vision-Language Pre- | training | |
| FIMA-Q: Post- | training | Quantization for Vision Transformers by Fisher Information Matrix Approximation |
| 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 recognition via submodular optimization regulated progressive | 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 | |
| FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre- | training | |
| FlashMix: Fast Map-Free LiDAR Localization via Feature Mixing and Contrastive-Constrained Accelerated | training | |
| FLOAT: Fast Learnable Once-for-All Adversarial | training | for Tunable Trade-off between Accuracy and Robustness |
| FlowIBR: Leveraging Pre- | training | for Efficient Neural Image-Based Rendering of Dynamic Scenes |
| Focus and Align: Learning Tube Tokens for Video-Language Pre- | training | |
| Focus More on What? Guiding Multi-Task | training | for End-to-End Person Search |
| Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial | training | |
| Fog-free | training | for foggy scene understanding |
| 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 |
| Formula-Supervised Visual-Geometric Pre- | training | |
| Forward Compatible | training | for Large-Scale Embedding Retrieval Systems |
| Foundation Model-powered 3d Few-shot Class Incremental Learning via | training | -free Adaptor |
| FouriScale: A Frequency Perspective on | training | -free High-resolution Image Synthesis |
| FPGAN-Control: A Controllable Fingerprint Generator for | training | with Synthetic Data |
| FPW: Frequency-Domain Pixel-by-Pixel Watermarking Against Unauthorized Images Used on | training | Generative Model |
| Fractals as Pre- | training | Datasets for Anomaly Detection and Localization |
| 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 |
| Frdiff: Feature Reuse for Universal | training | -free Acceleration of Diffusion Models |
| Free | training | object detection based on multi-stage fusion using belief functions |
| FreeControl: | training | -Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition |
| FreeDoM: | training | -Free Energy-Guided Conditional Diffusion Model |
| FreePCA: Integrating Consistency Information across Long-short Frames in | training | -free Long Video Generation via Principal Component Analysis |
| FreerCustom: | training | -Free Multi-Concept Customization for Image and Video Generation |
| FreeREA: | training | -Free Evolution-based Architecture Search |
| Freeze: | training | -Free Zero-Shot 6D Pose Estimation with Geometric and Vision Foundation Models |
| FreqOR: Frequency-guided sampling initialization with attention enhancements for | training | -free object repositioning |
| From a Serious | training | Simulator for Ship Maneuvering to an Entertainment Simulator |
| From Denoising | training | to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation |
| 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 |
| From Poses to Identity: | training | -Free Person Re-Identification via Feature Centralization |
| Frugal 3d Point Cloud Model | training | via Progressive Near Point Filtering and Fused Aggregation |
| 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 |
| FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy | training | Data |
| 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 3D Vision-Language Model With Fast Rendering and Pre- | training | Vision-Language Alignment |
| General and Efficient | training | for Transformer via Token Expansion, A |
| 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 |
| Generalizing to Unseen Domains via Text-guided Augmentation: A | training | -free Approach |
| Generating Enhanced Negatives for | training | Language-Based Object Detectors |
| 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 Infrastructure Crack Images for Self-Supervision | training | Based on Diffusion Model |
| 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 |
| Generative models for noise-robust | training | in unsupervised domain adaptation |
| 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 |
| GLID: Pre- | training | a Generalist Encoder-Decoder Vision Model |
| Global and Local Semantic Completion Learning for Vision-Language Pre- | training | |
| Global Optimality in Neural Network | training | |
| Global | training | of Document Processing Systems Using Graph Transformer Networks |
| GM-ABS: Promptable Generalist Model Drives Active Barely Supervised | training | in Specialist Model for 3D Medical Image Segmentation |
| 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 Adversarial | training | Method for Semantic Segmentation, A |
| Gradual Domain Adaptation with Pseudo-Label Denoising for SAR Target Recognition When Using Only Synthetic Data for | training | |
| Graph neural collaborative filtering with medical content-aware pre- | training | for treatment pattern recommendation |
| 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 | |
| Grounding Dino: Marrying Dino with Grounded Pre- | training | for Open-set Object Detection |
| 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 |
| Hard-Aware Instance Adaptive Self- | training | for Unsupervised Cross-Domain Semantic Segmentation |
| Hardness Sampling for Self- | training | Based Transductive Zero-Shot Learning |
| Harmonizing Attention: | training | -free Texture-aware Geometry Transfer |
| Harnessing Large Language Models for | training | -Free Video Anomaly Detection |
| Harnessing the Power of Multi-Lingual Datasets for Pre- | training | : Towards Enhancing Text Spotting Performance |
| Hash3D: | training | -free Acceleration for 3D Generation |
| 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 |
| HF2TNet: A Hierarchical Fusion Two-Stage | training | Network for Infrared and Visible Image Fusion |
| 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 Mixed-Precision Post- | training | Quantization for SAR Ship Detection Networks |
| 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 |
| HOT: Hadamard-based Optimized | training | |
| 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 Suboptimal is | training | rPPG Models with Videos and Targets from Different Body Sites? |
| 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 deep neural networks with multiple output layers for tabular data classification |
| Hybrid | training | of Denoising Networks to Improve the Texture Acutance of Digital Cameras |
| HyperNet Fields: Efficiently | training | Hypernetworks without Ground Truth by Learning Weight Trajectories |
| 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 |
| HyperSTAR: Task-Aware Hyperparameter Recommendation for | training | and Compression |
| I&S-ViT: An Inclusive & Stable Method for Post- | training | ViTs Quantization |
| 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 Plausible Labels from Noisy | training | Data for a Land Use and Land Cover Classification Application in Amazonia Legal |
| Identifying real changes for height displaced buildings to aid in deep learning | training | sample generation |
| 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 |
| IFADiff: | training | -Free Hyperspectral Image Generation via Integer-Fractional Alternating Diffusion Sampling |
| 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 Captions are Natural Prompts for | training | Data Synthesis |
| 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 |
| IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre- | training | |
| 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 Architecture and | training | Strategies of YOLOv7 for Remote Sensing Image Object Detection |
| Improved Compound Gaussian Model for Bivariate Surface EMG Signals Related to Strength | training | , An |
| 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 Implicit Neural Representation with Fourier Reparameterized | training | |
| 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 Self- | training | for Test-Time Adaptation |
| 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 Adversarial | training | From the Perspective of Class-Flipping Distribution |
| 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 Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial | training | |
| Improving face gender classification by adding deliberately misaligned faces to the | training | data |
| Improving Fast Adversarial | training | With Prior-Guided Knowledge |
| Improving Filling Level Classification with Adversarial | training | |
| Improving Fractal Pre- | training | |
| Improving Generalization of Adversarial | training | via Robust Critical Fine-Tuning |
| Improving Image Inpainting via Adversarial Collaborative | training | |
| Improving mix-and-separate | training | in audio-visual sound source separation with an object prior |
| Improving Model Fusion by | training | -Time Neuron Alignment With Fixed Neuron Anchors |
| Improving Neural Network Efficiency via Post- | training | Quantization with Adaptive Floating-Point |
| Improving Novel View Synthesis of 360° Scenes in Extremely Sparse Views by Jointly | training | Hemisphere Sampled Synthetic Images |
| Improving Object Detection Models via LLM-Based | training | Data Synthesis |
| 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 Post- | training | Quantization via Probabilistic Programming |
| 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 Self-Supervised Medical Image Pre- | training | by Early Alignment With Human Eye Gaze Information |
| Improving Semantic Segmentation via Efficient Self- | training | |
| Improving semantic video retrieval models by | training | with a relevance-aware online mining strategy |
| 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 Fairness of the Min-Max Game in GANs | training | |
| 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 the | training | of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling |
| Improving the Universal Performance of Land Cover Semantic Segmentation Through | training | Data Refinement and Multi-Dataset Fusion via Redundant Models |
| Improving | training | Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture |
| 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 Uncertainty Estimation with Confidence-Aware | training | Data |
| Improving Urban Land Cover/Use Mapping by Integrating A Hybrid Convolutional Neural Network and An Automatic | training | Sample Expanding Strategy |
| Improving Weather-Based OOD Generalisation in Lidar-Based Object Detection Models via Adversarial | training | |
| In Defense of Image Pre- | training | for Spatiotemporal Recognition |
| In Search of a Data Transformation that Accelerates Neural Field | training | |
| 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 |
| Incorporating Pre- | training | Data Matters in Unsupervised Domain Adaptation |
| 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 |
| Informative Sample Selection Model for Skeleton-Based Action Recognition With Limited | training | Samples |
| 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 |
| InstaGen: Enhancing Object Detection by | training | on Synthetic Dataset |
| 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 |
| Integer-valued | training | and Spike-driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection |
| 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-feature Relationship Certifies Robust Generalization of Adversarial | training | |
| 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 | |
| interpretable unsupervised capsule network via comprehensive contrastive learning and two-stage | training | , An |
| 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 |
| IrrNet: Advancing Irrigation Mapping with Incremental Patch Size | training | on Remote Sensing Imagery |
| 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 |
| Is Your | training | Data Really Ground Truth? A Quality Assessment of Manual Annotation for Individual Tree Crown Delineation |
| ISDAT: An image-semantic dual adversarial | training | framework for robust image classification |
| Isolation Forests to Evaluate Class Separability and the Representativeness of | training | and Validation Areas in Land Cover Classification |
| ISQ: Intermediate-Value Slip Quantization for Accumulator-Aware | training | |
| ITACLIP: Boosting | training | -Free Semantic Segmentation with Image, Text, and Architectural Enhancements |
| Iterative Co- | training | Transductive Framework for Zero Shot Learning, An |
| Iterative Ensemble | training | with Anti-gradient Control for Mitigating Memorization in Diffusion Models |
| 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 |
| IterDiff: | training | -Free Iterative Face Editing Via Efficient Clip-Guided Memory Bank |
| 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 Motion Detection in Neural Videos | 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 |
| Joint | training | on Multiple Datasets With Inconsistent Labeling Criteria for Facial Expression Recognition |
| Joint | training | strategy of unimodal and multimodal for multimodal sentiment analysis |
| Jointly Optimize Data Augmentation and Network | training | : Adversarial Data Augmentation in Human Pose Estimation |
| Jointly | training | and Pruning CNNs via Learnable Agent Guidance and Alignment |
| K-L Expansion as an Effective Feature Ordering Technique for Limited | training | Sample Size, The |
| K-LoRA: Unlocking | training | -Free Fusion of Any Subject and Style LoRAs |
| 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 Bridger: Towards | training | -Free Missing Modality Completion |
| 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 |
| Knowledge-guided quantization-aware | training | for EEG-based emotion recognition |
| 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 |
| LaDiffGAN: | training | GANs with Diffusion Supervision in Latent Spaces |
| Landmark Regularization: Ranking Guided Super-Net | training | in Neural Architecture Search |
| Landsat Super-Resolution Enhancement Using Convolution Neural Networks and Sentinel-2 for | training | |
| Lang3DSG: Language-based contrastive pre- | training | for 3D Scene Graph prediction |
| Language Matters: A Weakly Supervised Vision-Language Pre- | training | Approach for Scene Text Detection and Spotting |
| Language-free | training | for Zero-shot Video Grounding |
| Language-only Efficient | training | of Zero-shot Composed Image Retrieval |
| Large Batch Optimization for Object Detection: | training | Coco in 12 minutes |
| Large Language Models Can Achieve Explainable and | training | -Free One-Shot HRRP ATR |
| Large Model Empowered Multi-Modal Semantic Communication With Selective Tokens for | training | |
| Large Tree Classifier with Heuristic Search and Global | training | |
| Large-Scale 3D Gaussian Reconstruction Method for Optimized Adaptive Density Control in | training | Resource Scheduling, A |
| Large-Scale 3D Medical Image Pre- | training | With Geometric Context Priors |
| Large-Scale Bidirectional | training | for Zero-Shot Image Captioning |
| 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 |
| Latent Weight Quantization for Integerized | training | of Deep Neural Networks |
| 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 Depth Representation From RGB-D Videos by Time-Aware Contrastive Pre- | training | |
| 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 Scalable Model Soup on a Single Gpu: An Efficient Subspace | training | Strategy |
| Learning Structure and Strength of CNN Filters for Small Sample Size | training | |
| Learning to Generate 3D | training | Data Through Hybrid Gradient |
| Learning to generate | training | datasets for robust semantic segmentation |
| Learning to mask and permute visual tokens for Vision Transformer pre- | training | |
| 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 |
| Learning-by-generation: Enhancing gaze estimation via controllable generative data and two-stage | training | |
| 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 |
| Leveraging Task-Specific Pre- | training | to Reason across Images and Videos |
| 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 |
| Lifting Deep Image Denoisers to Video With Frame Interpolation Pre- | training | |
| Light Field Synthesis by | training | Deep Network in the Refocused Image Domain |
| Lightweight 3D Human Pose Estimation Network | training | Using Teacher-Student Learning |
| Lightweight Maize Disease Detection through Post- | training | Quantization with Similarity Preservation |
| Lightweight Model Pre- | training | via Language Guided Knowledge Distillation |
| Lightweight Whole-Body Human Pose Estimation With Two-Stage Refinement | training | Strategy |
| Linear classifiers by window | training | and basis exchange |
| LineArt: A Knowledge-guided | training | -free High-quality Appearance Transfer for Design Drawing with Diffusion Model |
| LKBQ: Pushing the Limit of Post- | training | Quantization to Extreme 1 bit |
| Local Alignment for Medical Vision-Language Pre- | training | |
| Local Convolutional Features with Unsupervised | training | for Image Retrieval |
| Local to Global Learning: Gradually Adding Classes for | training | Deep Neural Networks |
| Localized Concept Erasure for Text-to-Image Diffusion Models Using | training | -Free Gated Low-Rank Adaptation |
| Locally Accumulated Adam For Distributed | training | With Sparse Updates |
| LoCo: Low-Bit Communication Adaptor for Large-Scale Model | training | |
| LocVTP: Video-Text Pre- | training | for Temporal Localization |
| Long-Tailed Multi-Label Visual Recognition by Collaborative | training | on Uniform and Re-balanced Samplings |
| Long-term pre- | training | for temporal action detection with transformers |
| LongDiff: | training | -Free Long Video Generation in One Go |
| Look Around and Learn: Self- | training | Object Detection by Exploration |
| Look at Adjacent Frames: Video Anomaly Detection Without Offline | training | |
| Looking beyond appearances: Synthetic | training | data for deep CNNs in re-identification |
| LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in | training | -Free Diffusion Models |
| LORE++: Logical location regression network for table structure recognition with pre- | training | |
| 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 | |
| LRQuant+: A Unified and Learnable Framework to Post- | training | Quantization for Transformer-Based Large Foundation Models |
| Lying-pose detection with | training | dataset expansion |
| M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre- | training | |
| MA-ST3D: Motion Associated Self- | training | for Unsupervised Domain Adaptation on 3D Object Detection |
| MAC: Masked Contrastive Pre- | training | for Efficient Video-Text Retrieval |
| 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 |
| MaeFuse: Transferring Omni Features With Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided | training | |
| MAFA: Managing False Negatives for Vision-Language Pre- | training | |
| MaGAT: Mask-Guided Adversarial | training | for Defending Face Editing GAN Models From Proactive Defense |
| Making History Matter: History-Advantage Sequence | training | for Visual Dialog |
| Making use of unlabeled data: Comparing strategies for marine animal detection in long-tailed datasets using self-supervised and semi-supervised pre- | training | |
| MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and | training | Smoothing |
| Man-Made Objects Classification in Long-Baseline Monostatic-Bistatic SAR Images: Algorithm | training | and Testing on Repeat-Pass CSG Images |
| Manifesting Nominal Assistance in Hemiplegia Gait | training | Through an Assistive Normality Framework |
| 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 and Clustered Pre- | training | for Geosynchronous Satellite Maneuver Detection |
| Masked Autoencoder for Self-Supervised Pre- | training | on Lidar Point Clouds |
| Masked Channel Modeling for Bootstrapping Visual Pre- | training | |
| Masked Deformation Modeling for Volumetric Brain MRI Self-Supervised Pre- | training | |
| Masked Feature Prediction for Self-Supervised Visual Pre- | training | |
| Masked Image | training | for Generalizable Deep Image Denoising |
| Masked Text Pre- | training | for Scene Text Detection |
| MaskFusionNet: A Dual-Stream Fusion Model With Masked Pre- | training | Mechanism for rPPG Measurement |
| 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 |
| Matters: | training | -free Fine-grained Image Caption Enhancement via Local Perception |
| 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 |
| MedUnifier: Unifying Vision-and-Language Pre- | training | on Medical Data with Vision Generation Task using Discrete Visual Representations |
| 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 |
| MEsonGS: Post- | training | Compression of 3d Gaussians via Efficient Attribute Transformation |
| 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 |
| Metaaug: Meta-Data Augmentation for Post- | training | Quantization |
| 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 Improving Online Active Engagement During Lower Limb Rehabilitation | training | Based on EEG Signals, A |
| 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 Compatible | training | for Online Backfilling in Large-Scale Retrieval |
| Metric learning by directly minimizing the k-NN | training | error |
| MGGAN: Solving Mode Collapse Using Manifold-Guided | training | |
| MGRQ: Post- | training | Quantization for Vision Transformer with Mixed Granularity Reconstruction |
| migration of | training | samples towards dynamic global land cover mapping, The |
| MILES: Visual BERT Pre- | training | with Injected Language Semantics for Video-Text Retrieval |
| MiM: Mask in Mask Self-Supervised Pre- | training | for 3D Medical Image Analysis |
| 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 Human Labeling in | training | Deep Models for Pedestrian Intention Prediction |
| 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 |
| Mitigating Missing Feature Channels at Inference Stage: Test-Time Adaptation Through Self- | training | With Data Imputation |
| Mitigating the Human-Robot Domain Discrepancy in Visual Pre- | training | for Robotic Manipulation |
| Mix-Based | training | Strategies for Learning Implicit Neural Representations |
| 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 |
| MM1: Methods, Analysis and Insights from Multimodal LLM Pre- | training | |
| MMAudio: Taming Multimodal Joint | training | for High-Quality Video-to-Audio Synthesis |
| Mnemonics | training | : Multi-Class Incremental Learning Without Forgetting |
| MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced | training | |
| 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 |
| Modernized | training | of U-Net for Aerial Semantic Segmentation |
| 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 |
| MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal | training | Supervision |
| MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial | training | |
| Moment-based Adversarial | training | for Embodied Language Comprehension |
| Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre- | training | |
| Montrage: Monitoring | training | for Attribution of Generative Diffusion Models |
| Morphological Perceptrons: Geometry and | training | Algorithms |
| Motion-Augmented Self- | training | for Video Recognition at Smaller Scale |
| MP-Polynomial Kernel for | training | Support Vector Machines |
| MPT: Mesh Pre- | training | with Transformers for Human Pose and Mesh Reconstruction |
| Mr. DETR: Instructive Multi-Route | training | for Detection Transformers |
| 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-DETR: Efficient DETR | training | with Mixed Supervision |
| 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 |
| MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating | training | |
| multi camera unsupervised domain adaptation pipeline for object detection in cultural sites through adversarial learning and self- | training | , A |
| Multi-Class Smoothed Hinge Loss Function in Pre- | training | for Transfer Learning |
| Multi-Cue Semi-Supervised Color Constancy With Limited | training | Samples |
| Multi-Decoding Deraining Network and Quasi-Sparsity Based | training | |
| Multi-definition Deepfake detection via semantics reduction and cross-domain | 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-Granularity Language-Guided | training | for Multi-Object Tracking |
| 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 Contrastive Masked Autoencoders: A Two-Stage Progressive Pre- | training | Approach for RGBD Datasets |
| Multi-modal graph-aware pre- | training | for disease classification and cross-modal retrieval in chest radiology |
| Multi-modal Masked Pre- | training | for Monocular Panoramic Depth Completion |
| Multi-modal region selection approach for | training | object detectors |
| Multi-modal Vision Pre- | training | for Medical Image Analysis |
| Multi-Modality Multi-Attribute Contrastive Pre- | training | for Image Aesthetics Computing |
| Multi-model co- | training | for medical image segmentation with limited annotation |
| 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-Perspective Pseudo-Label Generation and Confidence-Weighted | training | for Semi-Supervised Semantic Segmentation |
| 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-Resolution Pathology-Language Pre- | training | Model with Text-Guided Visual Representation |
| Multi-Scale Transformer Network With Edge-Aware Pre- | training | for Cross-Modality MR Image Synthesis |
| Multi-Speaker Text-to-Speech | training | With Speaker Anonymized Data |
| 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 |
| MultiMAE Meets Earth Observation: Pre- | training | Multi-Modal Multi-Task Masked Autoencoders for Earth Observation Tasks |
| Multimodal 3D visible articulation system for syllable based Mandarin Chinese | training | |
| Multimodal alignment augmentation transferable attack on vision-language pre- | training | models |
| Multimodal Approach to Assess a Virtual Reality-based Surgical | training | Platform |
| Multimodal Autoregressive Pre- | training | of Large Vision Encoders |
| Multimodal Contrastive | training | for Visual Representation Learning |
| Multimodal Cross-Lingual Summarization for Videos: A Revisit in Knowledge Distillation Induced Triple-Stage | training | Method |
| 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 |
| Mutdet: Mutually Optimizing Pre- | training | for Remote Sensing Object Detection |
| 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 |
| National scale sub-meter mangrove mapping using an augmented border | training | sample method |
| Natural Interface for the | training | of Medical Personnel in an Immersive and Virtual Reality System, A |
| NC-TTT: A Noise Constrastive Approach for Test-Time | training | |
| Negative-Driven | training | Pipeline for Siamese Visual Tracking |
| Nested Annealed | training | Scheme for Generative Adversarial Networks |
| 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 |
| Neurosurgical Craniotomy | training | System Based on Haptic Virtual Reality Simulation, A |
| 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 | Data Organization Form and Training Mode for Unbiased Scene Graph Generation, A |
| New | training | Data Organization Form and Training Mode for Unbiased Scene Graph Generation, 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 |
| NICEST: Noisy Label Correction and | training | for Robust Scene Graph Generation |
| NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial | training | |
| 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-based Regularized | training | for Diffusion Models |
| Noise-Robust Vision-Language Pre- | training | With Positive-Negative Learning |
| Noise-to-Noise | training | Approach for Robust Motion-Compensated Processing in Cardiac-Gated Images, A |
| 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 | |
| Norm Regularization | training | Strategy for Robust Image Quality Assessment Models, A |
| 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 |
| NUPES: Non-Uniform Post- | training | Quantization via Power Exponent Search |
| NuWA: Visual Synthesis Pre- | training | for Neural visUal World creAtion |
| Object Adaptive Self-Supervised Dense Visual Pre- | training | |
| 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 | |
| ObjectAdd: Adding objects into image via a | training | -free diffusion modification fashion |
| OCR with no Shape | training | |
| OD-NeRF: Efficient | training | of On-the-Fly Dynamic Neural Radiance Fields |
| ODM: A Text-Image Further Alignment Pre- | training | Approach for Scene Text Detection and Spotting |
| 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 |
| OmDet: Large-scale vision-language multi-dataset pre- | training | with multimodal detection network |
| 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 | |
| Omniview-tuning: Boosting Viewpoint Invariance of Vision-language Pre- | training | Models |
| 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 Quantification of Image Reconstruction Uncertainty without | training | Data |
| On the representation of | training | tables in a K-valued code and the construction of empirical regularities |
| On the robustness of adversarial | training | against uncertainty attacks |
| 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 the Viability of Monocular Depth Pre- | training | for Semantic Segmentation |
| On the Zero-shot Adversarial Robustness of Vision-Language Models: A Truly Zero-shot and | training | -free Approach |
| 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-Minute Video Generation with Test-Time | training | |
| 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 Anchor-Based | training | for Image Classification Tasks |
| 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 | |
| Open-Vocabulary Panoptic Segmentation Using Bert Pre- | training | of Vision-Language Multiway Transformer Model |
| 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 |
| Optical-to-SAR Translation Based on CDA-GAN for High-Quality | training | Sample Generation for Ship Detection in SAR Amplitude Images |
| 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 Object Detection via Metric-driven | training | Data Selection |
| 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 |
| Outlier-Probability-Based Feature Adaptation for Robust Unsupervised Anomaly Detection on Contaminated | training | Data |
| Outreach Programmes for Education and | training | : Contributions from the International Cartographic Association |
| Overcoming Forgetting Catastrophe in Quantization-Aware | training | |
| P-NOC: Adversarial | training | of CAM generating networks for robust weakly supervised semantic segmentation priors |
| 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 |
| Pan-Cancer Histopathology WSI Pre- | training | With Position-Aware Masked Autoencoder |
| Pangu-draw: Advancing Resource-efficient Text-to-image Synthesis with Time-decoupled | training | and Reusable Coop-diffusion |
| PAPR: | training | -free One-step Patch Pruning with Lightweight Convnets for Faster Inference |
| 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 |
| PASS: Peer-agreement based sample selection for | training | with instance dependent noisy labels |
| PassionSR: Post- | training | Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution |
| Pasta: Proportional Amplitude Spectrum | training | Augmentation for Syn-to-Real Domain Generalization |
| PAT: Pixel-wise Adaptive | training | for long-tailed segmentation |
| 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 |
| PatchContrast: Self-Supervised Pre- | training | for 3D Object Detection |
| 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 |
| PATNAS: A Path-Based | training | -Free Neural Architecture Search |
| Pay Attention to Your Neighbours: | training | -Free Open-Vocabulary Semantic Segmentation |
| Paying More Attention to Image: A | training | -free Method for Alleviating Hallucination in LVLMS |
| 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 CAIN Model Frame Interpolation Using | training | Data Limited by Fixed Camera Scene Detection |
| 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 |
| PersonMAE: Person Re-Identification Pre- | training | With Masked AutoEncoders |
| 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 |
| Pioneering Precision in Magnetic Resonance Imaging | training | : The Introduction of the MRI Interpretation Competency Scale |
| Pixart-sigma: Weak-to-strong | training | of Diffusion Transformer for 4k Text-to-image Generation |
| 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 | |
| PMTL: A Progressive Multi-Level | training | Framework for Retail Taxonomy Classification |
| POA: Pre- | training | Once for Models of All Sizes |
| Poca: Post- | training | Quantization with Temporal Alignment for Codec Avatars |
| Point Cloud Pre- | training | with Diffusion Models |
| 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 | |
| Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre- | training | With Multi-Ratio Masking |
| PointBLIP: Zero- | training | Point Cloud Classification Network Based on BLIP-2 Model |
| 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 |
| Pointreggpt: Boosting 3d Point Cloud Registration Using Generative Point-cloud Pairs for | training | |
| Policy-Based Reinforcement Learning for | training | Autonomous Driving Agents in Urban Areas With Affordance Learning |
| Ponder: Point Cloud Pre- | training | via Neural Rendering |
| PonderV2: Improved 3D Representation With a Universal Pre- | training | Paradigm |
| 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 |
| Pose-Guided Self- | training | with Two-Stage Clustering for Unsupervised Landmark Discovery |
| PoseBH: Prototypical Multi-Dataset | training | Beyond Human Pose Estimation |
| POSIT: Part-based object segmentation without intensive | training | |
| Position-Guided Text Prompt for Vision-Language Pre- | training | |
| Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and | training | |
| Positive-Congruent | training | : Towards Regression-Free Model Updates |
| Post | training | Mixed Precision Quantization of Neural Networks using First-Order Information |
| Post-pre- | training | for Modality Alignment in Vision-Language Foundation Models |
| 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 |
| Post- | training | Quantization with Progressive Calibration and Activation Relaxing for Text-to-image Diffusion Models |
| PQ-SAM: Post- | training | Quantization for Segment Anything Model |
| Pre- | training | |
| Pre- | training | a Graph Recurrent Network for Text Understanding |
| Pre- | training | Audio Representations With Self-Supervision |
| Pre- | training | Auto-generated Volumetric Shapes for 3D Medical Image Segmentation |
| Pre- | training | for Action Recognition with Automatically Generated Fractal Datasets |
| Pre- | training | meets iteration: Learning for robust 3D point cloud denoising |
| 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 Models with Mandelbulb Variations |
| 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 |
| Preconditioners for the Stochastic | training | of Neural Fields |
| 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 |
| Prelar: World Model Pre- | training | with Learnable Action Representation |
| 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 |
| Preventing Catastrophic Overfitting in Fast Adversarial | training | : A Bi-level Optimization Perspective |
| 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 |
| PriPHiT: Privacy-Preserving Hierarchical | training | of Deep Neural Networks |
| 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 self-supervised learning: A pre- | training | method for crowd counting |
| 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 |
| Prompt-based Weakly-supervised Vision-language Pre- | training | |
| Prompt-Tuning SAM: From Generalist to Specialist with Only 2,048 Parameters and 16 | training | Images |
| ProposalContrast: Unsupervised Pre- | training | for LiDAR-Based 3D Object Detection |
| ProSelfLC: Progressive Self Label Correction for | training | Robust Deep Neural Networks |
| Prosody-Enhanced Acoustic Pre- | training | and Acoustic-Disentangled Prosody Adapting for Movie Dubbing |
| Prototype selection rules for neural network | training | |
| Provable Unrestricted Adversarial | training | Without Compromise With Generalizability |
| 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 |
| Pseudo-Labeling Based Practical Semi-Supervised Meta- | training | for Few-Shot Learning |
| PSFL: Personalized Split Federated Learning Framework for Distributed Model | training | in Intelligent Transportation Systems |
| PTQ4SAM: Post- | training | Quantization for Segment Anything |
| PTQ4ViT: Post- | training | Quantization for Vision Transformers with Twin Uniform Quantization |
| PTQ4VM: Post- | training | Quantization for Visual Mamba |
| Push-and-Pull: A General | training | Framework With Differential Augmentor for Domain Generalized Point Cloud Classification |
| Pushing the Limit of Post- | training | Quantization |
| puzzle questions form | training | for self-supervised skeleton-based action recognition, A |
| PX-NET: Simple and Efficient Pixel-Wise | training | of Photometric Stereo Networks |
| PYRA: Parallel Yielding Re-activation for | training | -inference Efficient Task Adaptation |
| Pyramid Adversarial | training | Improves ViT Performance |
| Pyramidal Person Re-IDentification via Multi-Loss Dynamic | training | |
| Q-DiT: Accurate Post- | training | Quantization for Diffusion Transformers |
| Q-PART: Quasi-Periodic Adaptive Regression with Test-time | training | for Pediatric Left Ventricular Ejection Fraction Regression |
| 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 |
| Quantity-Quality Enhanced Self- | training | Network for Weakly Supervised Point Cloud Semantic Segmentation |
| Quantization and | training | of Neural Networks for Efficient Integer-Arithmetic-Only Inference |
| QuartDepth: Post- | training | Quantization for Real-Time Depth Estimation on the Edge |
| 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-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre- | training | |
| RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre- | training | |
| Radar HRRP Target Recognition Based on Dynamic Learning with Limited | training | Data |
| Radiologist-in-the-Loop Self- | training | for Generalizable CT Metal Artifact Reduction |
| Radius-Aligned | training | and Rotated IOU Metrics for Pedestrian Detection in Top-View Fisheye Images |
| Random Matrix Theory-Based Reduced-Dimension Space-Time Adaptive Processing under Finite | training | Samples |
| Randomized Adversarial | training | via Taylor Expansion |
| Randomness Regularization With Simple Consistency | training | for Neural Networks |
| 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 |
| RankDVQA: Deep VQA based on Ranking-inspired Hybrid | training | |
| 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 |
| Rate-Distortion Optimized Post- | training | Quantization for Learned Image Compression |
| 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 CNN | training | and Compression for Neural-Enhanced Adaptive Live Streaming |
| Real-time Gesture Recognition with Minimal | training | Requirements and On-line Learning |
| Real-Time Video Prediction with Fast Video Interpolation Model and Prediction | training | |
| Reality Check on Pre- | training | for Exemplar-free Class-Incremental Learning, A |
| Realtime | training | on mobile devices for face recognition applications |
| Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for | training | -Free Zero-Shot Composed Image Retrieval |
| Rebalancing gradient to improve self-supervised co- | training | of depth, odometry and optical flow predictions |
| Reblurring-Guided Single Image Defocus Deblurring: A Learning Framework with Misaligned | training | Pairs |
| ReC- Ttt: Contrastive Feature Reconstruction for Test-Time | training | |
| RecDis-SNN: Rectifying Membrane Potential Distribution for Directly | training | Spiking Neural Networks |
| Recent progress in image denoising: A | training | strategy perspective |
| ReCLIP: Refine Contrastive Language Image Pre- | training | with Source Free Domain Adaptation |
| 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 | |
| Recon: | training | -free Acceleration for Text-to-image Synthesis with Retrieval of Concept Prompt Trajectories |
| 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 |
| Recursive Confidence | training | for Pseudo-Labeling Calibration in Semi-Supervised Few-Shot Learning |
| Redirected Touching: | training | and adaptation in warped virtual spaces |
| Reducing correspondence ambiguity in loosely labeled | training | data |
| Reducing the Side-Effects of Oscillations in | training | of Quantized YOLO Networks |
| 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 Text-to-Image Generation: Towards Accurate | training | -Free Glyph-Enhanced Image Generation |
| Refining the Pose: | training | and Use of Deep Recurrent Autoencoders for Improving Human Pose Estimation |
| Reg-PTQ: Regression-specialized Post- | training | Quantization for Fully Quantized Object Detector |
| Region-Based Semantic Segmentation with End-to-End | training | |
| Region-Specific Model Adaptation (RSMA)-Based | training | Data Method for Large-Scale Land Cover Mapping, A |
| Regional Adversarial | training | for Better Robust Generalization |
| Regional Forest Wildfire Mapping Through Integration of Sentinel-2 and Landsat 8 Data in Google Earth Engine with Semi-Automatic | training | Sample Generation |
| 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 | |
| Reloc3r: Large-Scale | training | of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization |
| Relocate: A Simple | training | -Free Baseline for Visual Query Localization Using Region-Based Representations |
| ReMix: | training | Generalized Person Re-Identification on a Mixture of Data |
| Remote Sensing Image Super-Resolution for Heritage Sites Using a Temporal Invariance-Aware | training | Strategy |
| Remote Sensing of Chlorophyll-a and Water Quality over Inland Lakes: How to Alleviate Geo-Location Error and Temporal Discrepancy in Model | 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 |
| Reproducible Vision-Language Models Meet Concepts Out of Pre- | training | |
| Repurposing Stable Diffusion Attention for | training | -Free Unsupervised Interactive Segmentation |
| 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 |
| ResCLIP: Residual Attention for | training | -free Dense Vision-language Inference |
| 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 Fast Adversarial | training | : A Splitting Technique to Overcome Catastrophic Overfitting |
| Rethinking hard | training | sample generation for medical image segmentation |
| Rethinking Image Super-Resolution from | training | Data Perspectives |
| Rethinking ImageNet Pre- | training | |
| Rethinking pre- | training | on medical imaging |
| Rethinking Self- | training | for Semi-Supervised Landmark Detection: A Selection-Free Approach |
| 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 the validity of perturbation in single-step adversarial | training | |
| Rethinking | training | Data for Mitigating Representation Biases in Action Recognition |
| Rethinking | training | for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion |
| Rethinking | training | Objective for Self-Supervised Monocular Depth Estimation: Semantic Cues To Rescue |
| Rethinking | training | Schedules for Verifiably Robust Networks |
| Rethinking Transformers Pre- | training | for Multi-Spectral Satellite Imagery |
| 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 Knowledge Distillation: | training | a Large Model using a Small One for Retinal Image Matching on Limited Data |
| Reverse | training | : An Efficient Approach for Image Set Classification |
| Revisiting Adversarial | training | at Scale |
| Revisiting Adversarial | training | Under Long-Tailed Distributions |
| 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 MAE pre- | training | for 3D medical image segmentation |
| Revisiting Outer Optimization in Adversarial | training | |
| Revisiting Pixel-Level Contrastive Pre- | training | on Scene Images |
| Revisiting Realistic Test-Time | training | : Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training |
| Revisiting Realistic Test-Time | training | : Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training |
| Revisiting Representation Learning and Identity Adversarial | training | for Facial Behavior Understanding |
| 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 |
| RGAL: Node-adaptive | training | strategies for reinforced graph adversarial learning |
| 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 | |
| Ridgeformer: Mutli-Stage Contrastive | training | for Fine-Grained Cross-Domain Fingerprint Recognition |
| RLIPv2: Fast Scaling of Relational Language-Image Pre- | training | |
| RNN | training | along Locally Optimal Trajectories via Frank-Wolfe Algorithm |
| RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre- | training | |
| 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 Object Detection with Domain-Invariant | training | and Continual Test-Time Adaptation |
| Robust Scene Text Detection for Partially Annotated | training | Data |
| Robust shortcut and disordered robustness: Improving adversarial | training | through adaptive smoothing |
| 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 |
| Robustness-Congruent Adversarial | training | for Secure Machine Learning Model Updates |
| Role of ViT Design and | training | in Robustness to Common Corruptions, The |
| RORem: | training | a Robust Object Remover with Human-in-the-Loop |
| 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 |
| RSMT: Robust stereo matching | training | with geometric correction, clean pixel selection and loss weighting |
| RUSBoost: Improving classification performance when | training | data is skewed |
| S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre- | training | for Autonomous Driving |
| S3VD Self-Supervised Spatial Video Downsampling Loss: A Method for | training | Video FPN Denoising Networks |
| SaCo Loss: Sample-Wise Affinity Consistency for Vision-Language Pre- | training | |
| SAETA: A Smart Coaching Assistant for Professional Volleyball | training | |
| Salience-based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre- | 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 | |
| SAM 2-Driven Self- | training | for Mammogram Segmentation: Zero-Shot Mask Generation Via Pseudo-Video |
| SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% | training | Cost |
| Sampling-Based Pruned Knowledge Distillation for | training | Lightweight RNN-T |
| SAMURAI: Motion-Aware Memory for | training | -Free Visual Object Tracking With SAM 2 |
| SAR Image Despeckling by Deep Neural Networks: from a Pre-Trained Model to an End-to-End | training | Strategy |
| SAR ship detection across different spaceborne platforms with confusion-corrected self- | training | and region-aware alignment framework |
| SAR Target Detection Based on Domain Adaptive Faster R-CNN with Small | training | Data Size |
| SAR-HUB: Pre- | training | , Fine-Tuning, and Explaining |
| SARCLIP: a multimodal foundation framework for SAR imagery via contrastive language-image pre- | training | |
| 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 and Adaptive Graph Neural Networks with Self-Label-Enhanced | training | |
| Scalable | training | Strategy for Blind Multi-Distribution Noise Removal, A |
| Scalable Verified | training | for Provably Robust Image Classification |
| Scale Efficient | training | for Large Datasets |
| Scale-Aware Automatic Augmentations for Object Detection With Dynamic | training | |
| Scaling Adversarial | training | to Large Perturbation Bounds |
| Scaling Backwards: Minimal Synthetic Pre- | training | ? |
| Scaling Biomass Estimation by Expanding Ground Truth with UAS-Derived | training | Data |
| Scaling Language-Image Pre- | training | via Masking |
| Scaling Laws of Synthetic Images for Model | training | ... for Now |
| Scaling Spike-Driven Transformer With Efficient Spike Firing Approximation | training | |
| Scaling up Multimodal Pre- | training | for Sign Language Understanding |
| Scaling Vision Pre- | training | to 4K Resolution |
| 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 |
| Scribble-Guided Diffusion for | training | -Free Text-to-Image Generation |
| Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre- | training | |
| SDCluster: A clustering based self-supervised pre- | training | method for semantic segmentation of remote sensing images |
| SeaMAE: Masked Pre- | training | with Meteorological Satellite Imagery for Sea Fog Detection |
| Seamless Lesion Insertion for Data Augmentation in CAD | training | |
| Search and Detect: | training | -Free Long Tail Object Detection via Web-Image Retrieval |
| 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 |
| SegEarth-OV: Towards | training | -Free Open-Vocabulary Segmentation for Remote Sensing Images |
| Segmentation of Tubular Structures Using Iterative | training | with Tailored Samples |
| Seit++: Masked Token Modeling Improves Storage-efficient | training | |
| 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 |
| Selective HuBERT: Self-Supervised Pre- | training | for Target Speaker in Clean and Mixture Speech |
| Self Patch Labeling Using Quality Distribution Estimation for CNN-Based 360-IQA | training | |
| Self-Adaptive | training | : Bridging Supervised and Self-Supervised Learning |
| Self-Calibrated CLIP for | training | -Free Open-Vocabulary Segmentation |
| 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-Relaxed Joint | training | : Sample Selection for Severity Estimation with Ordinal Noisy Labels |
| Self-Supervised 3D Hand Pose Estimation Through | training | by Fitting |
| Self-Supervised Adversarial | training | of Monocular Depth Estimation Against Physical-World Attacks |
| 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 Hypergraph | training | Framework via Structure-Aware Learning |
| 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 | for Semantic Segmentation in an Indoor Scene |
| 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 Diffusion Model for Few-Shot Landmark Detection in X-Ray Images |
| 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 | Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement |
| 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 | Room Layout Estimation via Geometry-aware Ray-casting |
| 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 |
| Self- | training | -Transductive-Learning Broad Learning System (STTL-BLS): A model for effective and efficient image classification |
| 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 medical image segmentation via anatomy-preserving consistency | training | |
| 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-Supervised Transformer with a Curriculum | training | Pipeline for Remote Sensing Image Semantic Segmentation, A |
| 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-Nas: Sample-Efficient | training | for Neural Architecture Search With Strong Predictor and Stratified Sampling |
| Set-the-Scene: Global-Local | training | for Generating Controllable NeRF Scenes |
| Severity-Aware Semantic Segmentation With Reinforced Wasserstein | training | |
| SfM-Free 3D Gaussian Splatting via Hierarchical | 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 | |
| Shallow Neural Network | training | via Atomic Norms and Semidefinite Programming |
| Shape2scene: 3d Scene Representation Learning Through Pre- | training | on Shape Data |
| Sharing is Caring: Concurrent Interactive Segmentation and Model | training | using a Joint Model |
| ShiftQuant: Toward Accurate and Efficient Sub-8-bit Integer | training | |
| 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 |
| Simple Post- | training | Robustness using Test Time Augmentations and Random Forest |
| Simple Recipe for Contrastively Pre- | training | Video-First Encoders Beyond 16 Frames, A |
| simple transformer-based baseline for crowd tracking with Sequential Feature Aggregation and Hybrid Group | training | , A |
| Simple-but-Effective Baseline for | training | -Free Class-Agnostic Counting, A |
| Simplifying Source-free Domain Adaptation for Object Detection: Effective Self- | training | Strategies and Performance Insights |
| 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-Domain Generalization via Multilevel Data Augmentation for SAR Target Recognition | training | on Fully Simulated Data |
| 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 |
| Slide-Based Graph Collaborative | training | for Histopathology Whole Slide Image Analysis |
| Slimflow: | training | Smaller One-step Diffusion Models with Rectified Flow |
| SLIP: Self-supervision Meets Language-Image Pre- | training | |
| SLVP: Self-Supervised Language-Video Pre- | training | for Referring Video Object Segmentation |
| 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 | |
| SnapGen: Taming High-Resolution Text-To-Image Models for Mobile Devices with Efficient Architectures and | training | |
| Snapshot Spectral Imaging for Face Anti-Spoofing: Addressing Data Challenges with Advanced Processing and | 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 | |
| Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre- | training | |
| Spanning | training | Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning |
| 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 |
| Sparse-to-Dense | training | : A Novel Training Scheme to Enhance Vision Transformers |
| Sparse-to-Dense | training | : A Novel Training Scheme to Enhance Vision Transformers |
| 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 Mask-Based Adaptive Robust | training | for Video Object Segmentation With Noisy Labels |
| Spatial Mini Golf: Game-Based Spatial Intelligence Testing and | training | Using VR and Non-VR Platforms |
| Spatial Quest: Game-Based Spatial Intelligence | training | Using VR and Non-VR Platforms |
| Spatial Transport Optimization by Repositioning Attention Map for | training | -Free Text-to-Image Synthesis |
| Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited | training | Data |
| Spatio-Temporal Pruning for | training | Ultra-Low-Latency Spiking Neural Networks in Remote Sensing Scene Classification |
| Spatiotemporal-Decoupled | training | : Enhancing Car-Following Behavior Modeling With Cross-Spatiotemporal Generalization |
| 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 |
| SPOT: An efficient | training | -free task similarity quantification method for continual learning |
| SPOT: Scalable 3D Pre- | training | via Occupancy Prediction for Learning Transferable 3D Representations |
| SPOT: Self- | training | with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers |
| SRTube: Video-Language Pre- | training | with Action-Centric Video Tube Features and Semantic Role Labeling |
| 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 |
| Stable Flow: Vital Layers for | training | -Free Image Editing |
| Stable Preference: Redefining | training | Paradigm of Human Preference Model for Text-to-image Synthesis |
| 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: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self- | training | |
| StEP: Style-based Encoder Pre- | training | for Multi-modal Image Synthesis |
| Stepping Stones: A Progressive | training | Strategy for Audio-visual Semantic Segmentation |
| Stereo Disparity Map Refinement Method Without | training | Based on Monocular Segmentation and Surface Normal, A |
| StereoDiffusion: | training | -Free Stereo Image Generation Using Latent Diffusion Models |
| Stimulative | training | ++: Go Beyond the Performance Limits of Residual Networks |
| Stingray Detection of Aerial Images Using Augmented | training | Images Generated by a Conditional Generative Model |
| Stitching, Fine-Tuning, and Re- | training | : A SAM-Enabled Framework for Semi-Supervised 3D Medical Image Segmentation |
| Stochastic Backpropagation: A Memory Efficient Strategy for | training | Video Models |
| Strategies for | training | Robust Neural Network Based Digit Recognizers on Unbalanced Data Sets |
| Stratified Domain Adaptation: A Progressive Self- | training | Approach for Scene Text Recognition |
| Stretching Each Dollar: Diffusion | training | from Scratch on a Micro-Budget |
| 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 |
| Structure-Guided Adversarial | training | of Diffusion Models |
| Structured Adversarial | training | for Unsupervised Monocular Depth Estimation |
| Structured feature sparsity | training | for convolutional neural network compression |
| Structured Gradient-Based Interpretations via Norm-Regularized Adversarial | training | |
| 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 |
| Style Injection in Diffusion: A | training | -Free Approach for Adapting Large-Scale Diffusion Models for Style Transfer |
| Style Quantization for Data-Efficient GAN | training | |
| StyleAdv: Meta Style Adversarial | training | for Cross-Domain Few-Shot Learning |
| StyleSSP: Sampling StartPoint Enhancement for | training | -free Diffusion-based Method for Style Transfer |
| 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 |
| Subnet-Aware Dynamic Supernet | training | for Neural Architecture Search |
| Subspace Adversarial | training | |
| subspace co- | training | framework for multi-view clustering, A |
| Subspace | training | Mitigates Gradient Noise Vulnerability |
| SUGAR: Pre- | training | 3D Visual Representations for Robotics |
| 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 |
| SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre- | training | |
| 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 |
| SVD-Guided Diffusion for | training | -Free Low-Light Image Enhancement |
| SVM | training | time reduction using vector quantization |
| Swap Path Network for Robust Person Search Pre- | training | |
| SWIFT: Simulated Wildfire Images for Fast | training | Dataset |
| SwitchLight: Co-Design of Physics-Driven Architecture and Pre- | training | Framework for Human Portrait Relighting |
| Synchronizing disparate video streams from laparoscopic operations in simulation-based surgical | training | |
| Synergistic fusion framework: Integrating | training | and non-training processes for accelerated graph convolution network-based recommendation |
| Synergistic fusion framework: Integrating | training | and non-training processes for accelerated graph convolution network-based recommendation |
| Synthesizing Chest X-Ray Pathology for | training | Deep Convolutional Neural Networks |
| Synthesizing Consistent Novel Views Via 3D Epipolar Attention Without Re- | training | |
| 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 | Datasets for Architectural Conservation: A Deep Learning Approach for Decay Detection |
| 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 |
| S^2O: Enhancing Adversarial | training | With Second-Order Statistics of Weights |
| T4P: Test-Time | training | of Trajectory Prediction via Masked Autoencoder and Actor-Specific Token Memory |
| TA-Student VQA: Multi-Agents | training | by Self-Questioning |
| TAET: Two-Stage Adversarial Equalization | training | on Long-Tailed Distributions |
| 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 |
| Taming Self- | training | for Open-Vocabulary Object Detection |
| Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional | training | at Lower Resolutions |
| TANGO: | training | -free Embodied AI Agents for Open-world Tasks |
| tanh As a robust feature scaling method in | training | deep learning models with imbalanced data |
| TAP: Text-Aware Pre- | training | for Text-VQA and Text-Caption |
| Task Configuration Impacts Annotation Quality and Model | training | Performance in Crowdsourced Image Segmentation |
| Task2Sim: Towards Effective Pre- | training | and Transfer from Synthetic Data |
| TB-Bench: | training | and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/Videos |
| 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 | training | for Industrial Anomaly Segmentation |
| Test-time Adaptation vs. | training | -time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation |
| Test-Time | training | for Hyperspectral Image Super-Resolution |
| TeST: Test-time Self- | training | under Distribution Shift |
| Text degradations and OCR | training | |
| Text-Guided HuBERT: Self-Supervised Speech Pre- | training | via Generative Adversarial Networks |
| 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 |
| TFM2: | training | -Free Mask Matching for Open-Vocabulary Semantic Segmentation |
| TF²: Few-Shot Text-Free | training | -Free Defect Image Generation for Industrial Anomaly Inspection |
| 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 |
| TIDE: | training | Locally Interpretable Domain Generalization Models Enables Test-time Correction |
| TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial | training | |
| Tip-Adapter: | training | -Free Adaption of CLIP for Few-Shot Classification |
| TIP: Tabular-Image Pre- | training | for Multimodal Classification with Incomplete Data |
| TKG-DM: | training | -free Chroma Key Content Generation Diffusion Model |
| To Boost Zero-Shot Generalization for Embodied Reasoning With Vision-Language Pre- | training | |
| 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 Efficient and Secure Object Detection With Sparse Federated | training | Over Internet of Vehicles |
| Toward Int4 Fixed-point | training | via Exploring Quantization Error for Gradients |
| 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 | training | Free Approach for 3D Scene Editing |
| Towards a Unified Network for Robust Monocular Depth Estimation: Network Architecture, | training | Strategy and Dataset |
| Towards Accurate Post- | training | Quantization for Diffusion Models |
| Towards Accurate Post- | training | Quantization of Vision Transformers via Error Reduction |
| 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 Alignment: | training | Diffusion Models with Reinforcement Learning Against Sparse Rewards |
| 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 Context-Aware Emotion Recognition Debiasing From a Causal Demystification Perspective via De-Confounded | training | |
| 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 Human-Level 3D Relative Pose Estimation: Generalizable, | training | -Free, With Single Reference |
| Towards Language-Free | training | for Text-to-Image Generation |
| Towards Large-Scale 3D Representation Learning with Multi-Dataset Point Prompt | training | |
| Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre- | training | |
| Towards Maximum Likelihood | training | for Transducer-Based Streaming Speech Recognition |
| 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 Reliable Evaluation and Fast | training | of Robust Semantic Segmentation Models |
| Towards Robust Colour Texture Classification with Limited | training | Data |
| Towards Robust Person Re-Identification by Adversarial | training | With Dynamic Attack Strategy |
| Towards Robust Person Re-Identification Via Efficient and Generalized Adversarial | training | |
| Towards Robust | training | via Gradient-Diversified Backpropagation |
| Towards Sequence-Level | training | for Visual Tracking |
| Towards the Optimal | training | of Cascades of Boosted Ensembles |
| Towards | training | -free Anomaly Detection with Vision and Language Foundation Models |
| Towards | training | -Free Open-World Segmentation via Image Prompt Foundation Models |
| 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 Meets LoRA: Faster | training | , Larger Model, Stronger Performance |
| Tracking occluded targets in high-similarity background: An online | training | , non-local appearance model and periodic hybrid particle filter with projective transformation |
| TraDiffusion: Trajectory-Based | training | -Free Image Generation |
| 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 Phase Detection Autofocus Model Using Hybrid Labels |
| training | a Radial Basis Function Network Under Transformed Probability Measure |
| training | a Scene-Specific Pedestrian Detector Using Tracklets |
| training | A Secure Model Against Data-free Model Extraction |
| training | a Seismogram Discriminator Based on ResNet |
| training | A Small Emotional Vision Language Model for Visual Art Comprehension |
| 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 | Adaptive Reconstruction Networks for Blind Inverse Problems |
| training | Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds |
| training | Against Disguises: Addressing and Mitigating Bias in Facial Emotion Recognition with Synthetic Data |
| 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 Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? |
| training | Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? |
| training | Data Reconstruction: Privacy Due to Uncertainty? |
| 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 | Diffusion Models Towards Diverse Image Generation with Reinforcement Learning |
| 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 | Dynamics of Nonlinear Contrastive Learning Model in the High Dimensional Limit |
| training | Effective Node Classifiers for Cascade Classification |
| training | Efficient Semantic Segmentation CNNs on Multiple Datasets |
| training | Ensembles with Inliers and Outliers for Semi-supervised Active Learning |
| 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 | Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts |
| 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 | Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation |
| 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 | Networks in Null Space of Feature Covariance With Self-Supervision for Incremental 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 RAW and HDR Images for Restoration Tasks |
| 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 | Superpixel Network Only Once |
| 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 | Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution |
| training | TSVM with the proper number of positive samples |
| training | Very Deep CNNs for General Non-Blind Deconvolution |
| training | Vision Transformers for Semi-Supervised Semantic Segmentation |
| 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 Model Refinement and Representation Disagreement for Semi-Supervised Object Detection |
| 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 Color-Style Disentanglement for Constrained Text-to-Image Synthesis |
| training | -free Composite Scene Generation for Layout-to-image Synthesis |
| training | -free Content Injection using h-space in Diffusion Models |
| training | -free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis |
| training | -free diffusion for controlling illumination conditions in images |
| training | -Free Image Style Alignment for Domain Shift on Handheld Ultrasound Devices |
| training | -Free Layout Control with Cross-Attention Guidance |
| training | -Free Lightweight Transfer Learning for Land Cover Segmentation Using Multispectral Calibration |
| training | -Free Location-Aware Text-to-Image Synthesis |
| training | -free Medical Image Inverses via Bi-level Guided Diffusion Models |
| 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 Model Merging for Multi-target Domain Adaptation |
| training | -free moving object detection system based on hierarchical color-guided motion segmentation |
| training | -free NAS for 3d Point Cloud Processing |
| training | -free Neural Architecture Search through Variance of Knowledge of Deep Network Weights |
| training | -free nose tip detection method from face range images, A |
| training | -free Object Counting with Prompts |
| training | -Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation |
| training | -Free Pretrained Model Merging |
| training | -free subject-enhanced attention guidance for compositional text-to-image generation |
| training | -free thick cloud removal for Sentinel-2 imagery using value propagation interpolation |
| training | -free Transformer Architecture Search |
| training | -Free Transformer Architecture Search With Zero-Cost Proxy Guided Evolution |
| training | -Free Video Temporal Grounding Using Large-Scale Pre-Trained Models |
| 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 |
| Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity | training | |
| 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 |
| TTT-KD: Test-Time | training | for 3D Semantic Segmentation Through Knowledge Distillation From Foundation Models |
| TTT-MIM: Test-time | training | with Masked Image Modeling for Denoising Distribution Shifts |
| TTTFlow: Unsupervised Test-Time | training | with Normalizing Flow |
| TubeTK: Adopting Tubes to Track Multi-Object in a One-Step | training | Model |
| Tuning the Frequencies: Robust | training | for Sinusoidal Neural Networks |
| TVG: A | training | -Free Transition Video Generation Method With Diffusion Models |
| 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 | |
| UCM-VeID V2: A Richer Dataset and A Pre- | training | Method for UAV Cross-Modality Vehicle Re-Identification |
| Uimt: A Framework for Improving Unimodal Inference via Multimodal | training | |
| ULIP-2: Towards Scalable Multimodal Pre- | training | for 3D Understanding |
| UltraSeP: Sequence-aware pre- | training | for echocardiography probe movement guidance |
| Unbiased Scene Graph Generation from Biased | training | |
| Uncertain | training | Data Edition for Automatic Object-Based Change Map Extraction |
| Uncertainty Aware | training | to Improve Uncertainty Active Learning for Semantic Segmentation |
| Uncertainty Guided Collaborative | training | for Weakly Supervised and Unsupervised Temporal Action Localization |
| Uncertainty Guided Collaborative | training | for Weakly Supervised Temporal Action Detection |
| Uncertainty guided test-time | training | for face forgery detection |
| Uncertainty-Aware Cross- | training | for Semi-Supervised Medical Image Segmentation |
| 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 |
| Uni4Eye++: A General Masked Image Modeling Multi-Modal Pre- | training | Framework for Ophthalmic Image Classification and Segmentation |
| UniChest: Conquer-and-Divide Pre- | training | for Multi-Source Chest X-Ray Classification |
| Unified Approach to Interpreting Self-supervised Pre- | training | Methods for 3D Point Clouds via Interactions, A |
| Unified Face Attack Detection with Micro Disturbance and a Two-Stage | training | Strategy |
| Unified Medical Image Pre- | training | in Language-guided Common Semantic Space |
| 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 |
| UNIIR: | training | and Benchmarking Universal Multimodal Information Retrievers |
| Unimodal Face Classification with Multimodal | training | |
| Unimodal-Uniform Constrained Wasserstein | training | for Medical Diagnosis |
| UniPAD: A Universal Pre- | training | Paradigm for Autonomous Driving |
| UniPre3D: Unified Pre- | training | of 3D Point Cloud Models with Cross-Modal Gaussian Splatting |
| UniPTS: A Unified Framework for Proficient Post- | training | Sparsity |
| UniVAD: A | training | -free Unified Model for Few-shot Visual Anomaly Detection |
| Universal Semi-supervised Model Adaptation via Collaborative Consistency | training | |
| Universally Slimmable Networks and Improved | training | Techniques |
| UniVIP: A Unified Framework for Self-Supervised Visual Pre- | training | |
| UniVST: A Unified Framework for | training | -Free Localized Video Style Transfer |
| Unleashing Potential of Unsupervised Pre- | training | with Intra-Identity Regularization for Person Re-Identification |
| Unmasked Teacher: Towards | training | -Efficient Video Foundation Models |
| Unmasking Bias in Diffusion Model | training | |
| 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 Class-Imbalanced Domain Adaptation With Pairwise Adversarial | training | and Semantic Alignment |
| Unsupervised Classification Using Spatial Region Growing Segmentation and Fuzzy | training | |
| Unsupervised color classifier | training | for soccer player detection |
| Unsupervised Cross-Domain Facial Expression Recognition via Class Adaptive Self- | training | |
| Unsupervised Cross-Modal Hashing Method Robust to Noisy | training | Image-Text Correspondences in Remote Sensing, An |
| Unsupervised Domain Adaptation Architecture Search with Self- | training | for Land Cover Mapping |
| 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 Anatomical-Aware Self- | training | for Optic Disc Segmentation in Abnormal Fundus 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 Domain Adaption Harnessing Vision-Language Pre- | training | |
| 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 Learning Approach for Reconstructing 3T-Like Images From 0.3T MRI Without Paired | training | Data, An |
| Unsupervised Non-Rigid Histological Image Registration Guided by Keypoint Correspondences Based on Learnable Deep Features With Iterative | 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 Pre- | training | With Language-Vision Prompts for Low-Data Instance Segmentation |
| Unsupervised Real-World Image Super Resolution via Domain-Distance Aware | training | |
| Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial | training | |
| Unsupervised Single-Image Intrinsic Image Decomposition with LiDAR Intensity Enhanced | training | |
| Unsupervised | training | for 3D Morphable Model Regression |
| Unsupervised Video Domain Adaptation with Masked Pre- | training | and Collaborative Self-Training |
| Unsupervised Video Domain Adaptation with Masked Pre- | training | and Collaborative Self-Training |
| Unsupervised Video Summarization via Iterative | training | and Simplified Gan |
| Unveiling Privacy Risks in Stochastic Neural Networks | training | : Effective Image Reconstruction from Gradients |
| UP-DETR: Unsupervised Pre- | training | for Object Detection with Transformers |
| UpGen: Unleashing Potential of Foundation Models for | training | -Free Camouflage Detection via Generative Models |
| 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 |
| Use Self- | training | Random Forest for Predicting Winter Wheat Yield |
| 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 |
| Variable Handle-Resistance Based Joystick for Post-stroke Neurorehabilitation | training | of Hand and Wrist in Upper Extremities |
| 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 |
| VECLIP: Improving CLIP | training | via Visual-enriched Captions |
| 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 | |
| vid-TLDR: | training | Free Token merging for Light-Weight Video Transformer |
| Video Corpus Moment Retrieval via Deformable Multigranularity Feature Fusion and Adversarial | training | |
| Video is Worth 10,000 Words: | training | and Benchmarking with Diverse Captions for Better Long Video Retrieval, A |
| 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 | |
| VideoGEM: | training | -Free Action Grounding in Videos |
| VideoGuide: Improving Video Diffusion Models without | training | Through a Teacher's Guide |
| VidSeg: | training | -free Video Semantic Segmentation based on Diffusion Models |
| VILA: On Pre- | training | for Visual Language Models |
| ViLTA: Enhancing Vision-Language Pre- | training | through Textual Augmentation |
| Viola-Jones Based Detectors: How Much Affects the | training | Set? |
| VipDiff: Towards Coherent and Diverse Video Inpainting via | training | -Free Denoising Diffusion Models |
| 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 Pose Coach: A Motion-Retargeting Approach for Pose | training | |
| 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 | for graph-based handwritten mathematical expression recognition |
| Vision-language pre- | training | via modal interaction |
| Vision-Language Pre- | training | with Triple Contrastive Learning |
| Vision-Language Pre- | training | : Basics, Recent Advances, and Future Trends |
| VisionPAD: A Vision-Centric Pre- | training | Paradigm for Autonomous Driving |
| Visual Alignment Pre- | training | for Sign Language Translation |
| Visual Atoms: Pre- | training | Vision Transformers with Sinusoidal Waves |
| Visual Programming: Compositional visual reasoning without | training | |
| Vizecgnet: Visual ECG Image Network for Cardiovascular Diseases Classification with Multi-Modal | training | and Knowledge Distillation |
| 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 |
| VR-Based Generation of Photorealistic Synthetic Data for | training | Hand-Object Tracking Models |
| WALT3D: Generating Realistic | training | Data from Time-Lapse Imagery for Reconstructing Dynamic Objects Under Occlusion |
| Wasserstein GANs for MR Imaging: From Paired to Unpaired | training | |
| WBP: | training | -time Backdoor Attacks Through Hardware-based Weight Bit Poisoning |
| We Don't Need No Bounding-Boxes: | training | Object Class Detectors Using Only Human Verification |
| Weakly Supervised Co- | training | with Swapping Assignments for Semantic Segmentation |
| Weakly Supervised Contrastive Adversarial | training | for Learning Robust Features from Semi-supervised Data |
| 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 | training | of Universal Visual Concepts for Multi-Domain Semantic Segmentation |
| 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 Co- | training | Framework for Emotion Recognition Based on EEG Data Generation Using Frequency-Spatial Diffusion Transformer, A |
| 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 |
| When Adversarial | training | Meets Prompt Tuning: Adversarial Dual Prompt Tuning for Unsupervised Domain Adaptation |
| When Self-Supervised Pre- | training | Meets Single Image Denoising |
| 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 |
| Winter Wheat Mapping Method Based on Pseudo-Labels and U-Net Model for | training | Sample Shortage |
| 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-Painter: | training | -Free Layout Control for Text-to-Image Synthesis |
| Zero-shot temporal event localisation: Label-free, | training | -free, domain-free |
3212 for training