Index for label

_label_
2D Topological Map Isomorphism for Multi-label Simple Transformation Definition
3D Human Keypoints Estimation from Point Clouds in the Wild without Human labels
3D label Stereo Matching Method Using Underwater Energy Function, A
3d medical image segmentation approach based on multi-label front propagation
3D Randomized Connection Network With Graph-Based label Inference
3D Semantic label Transfer in Human-Robot Collaboration
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack
3SD: Self-Supervised Saliency Detection With No labels
Accelerating Multi-label Feature Selection Based on Low-Rank Approximation
Accurate Detection Is Not All You Need to Combat label Noise in Web-noisy Datasets, An
Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse labels
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels
ACLS: Adaptive and Conditional label Smoothing for Network Calibration
Action unit detection by exploiting spatial-temporal and label-wise attention with transformer
Action-Slot: Visual Action-Centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes
Activation to Saliency: Forming High-Quality labels for Unsupervised Salient Object Detection
Active Batch Sampling for Multi-label Classification with Binary User Feedback
Active cleaning of label noise
Active Context-Based Concept Fusion with Partial User labels
Active Frame Selection for label Propagation in Videos
Active k-labelsets ensemble for multi-label classification
Active label Correction Using Robust Parameter Update and Entropy Propagation
Active Learning With Complementary Sampling for Instructing Class-Biased Multi-label Text Emotion Classification
Active Learning with label Correlation Exploration for Multi-Label Image Classification
Active Learning with label Correlation Exploration for Multi-Label Image Classification
Active Learning-Based Sample Selection for label-Efficient Blind Image Quality Assessment
Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels
Actor-agnostic Multi-label Action Recognition with Multi-modal Query
Adaptive Anchor label Propagation for Transductive Few-Shot Learning
Adaptive Distraction Recognition via Soft Prototype Learning and Probabilistic label Alignment
Adaptive Graph Guided Disambiguation for Partial label Learning
adaptive group LASSO based multi-label regression approach for facial expression analysis, An
Adaptive Hierarchical Similarity Metric Learning With Noisy labels
Adaptive Hypergraph Embedded Semi-Supervised Multi-label Image Annotation
Adaptive label Noise Cleaning with Meta-Supervision for Deep Face Recognition
Adaptive label Propagation for Facial Appearance Transfer
Adaptive label-Aware Graph Convolutional Networks for Cross-Modal Retrieval
Adaptive Learning for Dynamic Features and Noisy labels
Adaptive Memorization With Group labels for Unsupervised Person Re-Identification
Adaptive Noisy label-Correction Method Based on Selective Loss for Hyperspectral Image-Classification Problem, An
Adaptive Object Detection with Dual Multi-label Prediction
Adaptive Positive Sample Selection and Dynamic Soft label Assignment for Keypoint Detection
Adaptive Pseudo-label Purification and Debiasing for Unsupervised Visible-Infrared Person Re-Identification
Adaptive Sample Selection for Robust Learning under label Noise
Adaptive Semi-Supervised Mixup with Implicit label Learning and Sample Ratio Balancing
Adaptive spatial and scale label assignment for anchor-free object detection
Adaptive Variance Based label Distribution Learning for Facial Age Estimation
Adaptive Vision-Language Prompt Learners for Learning with Noisy labels
Adaptive Visual Inspection Method for Transparent label Defect Detection of Curved Glass Bottle
Adaptively Learning Facial Expression Representation via C-F labels and Distillation
Addressing Missing labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking
Addressing out-of-distribution label noise in webly-labelled data
ADGaze: Anisotropic Gaussian label Distribution Learning for fine-grained gaze estimation
Adjacency Matrix Construction Using Sparse Coding for label Propagation
Advanced Augmentation and Ensemble Approaches for Classifying Long-Tailed Multi-label Chest X-Rays
Adversarial Fooling Beyond Flipping the label
Adversarial label Poisoning Attack on Graph Neural Networks via Label Propagation
Adversarial label Poisoning Attack on Graph Neural Networks via Label Propagation
Adversarial label-Poisoning Attacks and Defense for General Multi-Class Models Based on Synthetic Reduced Nearest Neighbor
Adversarial Multi-label Variational Hashing
Adversarial Style-Irrelevant Feature Learning With Refined Soft Pseudo labels for Domain-Adaptive Vehicle Re-Identification
Adversarial Unsupervised Domain Adaptation with Conditional and label Shift: Infer, Align and Iterate
Aerial Road Segmentation in the Presence of Topological label Noise
AETTA: label-Free Accuracy Estimation for Test-Time Adaptation
AffectNet+: A Database for Enhancing Facial Expression Recognition With Soft-labels
Affinity-aware uncertainty quantification for learning with noisy labels
AFIFC: Adaptive fuzzy neighborhood mutual information-based feature selection via label correlation
AGILE: A Diffusion-Based Attention-Guided Image and label Translation for Efficient Cross-Domain Plant Trait Identification
Agreement and Disagreement-Based Co-Learning with Dual Network for Hyperspectral Image Classification with Noisy labels
ALAT: Adversarial label-guided Adversarial Training
Algorithms for openings of binary and label images with rectangular structuring elements
Align-then-generate: An effective cross-modal generation paradigm for multi-label zero-shot learning
Alike Scene Retrieval from Land-Cover Products Based on the label Co-Occurrence Matrix (LCM)
All labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training
All labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training
ALPI: Auto-labeller with Proxy Injection for 3D Object Detection using 2D Labels Only
AMITA: Attribute-Guided Masked Image-Text Alignment for Multi-label Image Representation
Analysis of Relaxation Processes: The Two-Node Two-label Case
Anatomical Skin Segmentation in Reflectance Confocal Microscopy with Weak labels
Anisotropic Diffusion-Based Enhancement of Scene Segmentation with Instance labels
ANNE: Adaptive Nearest Neighbours and Eigenvector-based sample selection for robust learning with noisy labels
Annealing-based label-Transfer Learning for Open World Object Detection
Annotation-Efficient Learning for Medical Image Segmentation Based on Noisy Pseudo labels and Adversarial Learning
Anti-Interference From Noisy labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation
Appearance label Balanced Triplet Loss for Multi-modal Aerial View Object Classification
Application of YOLOv5 for Point label Based Object Detection of Black Pine Trees with Vitality Losses in UAV Data
Approach for Recognizing Text labels in Raster Maps, An
Approach for Video Classification with Multi-label on YouTube-8M Dataset
ARatio: Extending area under the ROC curve for probabilistic labels
Arbitrary-Oriented Object Detection with Circular Smooth label
ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-label Classification
Are labels Always Necessary for Classifier Accuracy Evaluation?
Are labels Necessary for Neural Architecture Search?
Are labels Needed for Incremental Instance Learning?
Arithmetic coding of a lossless contour based representation of label images
Assigning a new glioma grade label ground-truth for the BraTS dataset using radiologic criteria
Associative Deep Clustering: Training a Classification Network with No labels
Asymmetric Loss For Multi-label Classification
Attend and Imagine: Multi-label Image Classification With Visual Attention and Recurrent Neural Networks
Attention-based Method for Multi-label Facial Action Unit Detection, An
Attention-driven Dynamic Graph Convolutional Network for Multi-label Image Recognition
Attention-driven pseudo-label self-training for weakly supervised video anomaly detection
Audio-Visual Emotion Recognition With Preference Learning Based on Intended and Multi-Modal Perceived labels
Augmentation Strategies for Learning with Noisy labels
AutoDO: Robust AutoAugment for Biased Data with label Noise via Scalable Probabilistic Implicit Differentiation
AutoEval: Are labels Always Necessary for Classifier Accuracy Evaluation?
Automated cleaning of identity label noise in a large face dataset with quality control
Automated Detection of label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
Automatic Annotation of Airborne Images by label Propagation Based on a Bayesian-CRF Model
Automatic atlas-based three-label cartilage segmentation from MR knee images
Automatic Fusion of Segmentation and Tracking labels
Automatic image annotation via label transfer in the semantic space
Automatic image annotation via local multi-label classification
Automatic image segmentation based on label propagation
Automatic label Assignment for Object Detection
Automatic label Placement of Area-features Using Deep Learning
Automatic Object Extraction in Images using Embedded labels
Automatic Population HARDI White Matter Tract Clustering by label Fusion of Multiple Tract Atlases
Automatic speech discrete labels to dimensional emotional values conversion method
Automatic user interaction correction via Multi-label Graph cuts
Automatic Waveform Recognition of Overlapping LPI Radar Signals Based on Multi-Instance Multi-label Learning
AutoML for Multi-label Classification: Overview and Empirical Evaluation
Autotrajectory: label-free Trajectory Extraction and Prediction from Videos Using Dynamic Points
Auxiliary Classifier Generative Adversarial Network With Soft labels in Imbalanced Acoustic Event Detection
Auxiliary label Classification Based Multi-Label Limb Movement Recognition of Preterm Infant
Auxiliary label Classification Based Multi-Label Limb Movement Recognition of Preterm Infant
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing label Features from Multi-Modal Embeddings
BABEL: Bodies, Action and Behavior with English labels
Back to Reality: Weakly-supervised 3D Object Detection with Shape-Guided label Enhancement
Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative label Distribution Alignment
Badlabel: A Robust Perspective on Evaluating and Enhancing Label-Noise Learning
balanced random learning strategy for CNN based Landsat image segmentation under imbalanced and noisy labels, A
Bangkok CCTV Image through a Road Environment Extraction System Using Multi-label Convolutional Neural Network Classification
BARD: A Basketball Action Recognition Dataset for multi-label classification
Baseline for Multi-label Image Classification Using an Ensemble of Deep Convolutional Neural Networks, A
Batch mode active learning for multi-label image classification with informative label correlation mining
Batch mode active learning for multi-label image classification with informative label correlation mining
Bayesian Feature Pyramid Networks for Automatic Multi-label Segmentation of Chest X-rays and Assessment of Cardio-thoratic Ratio
Benchmark Dataset for Performance Evaluation of Multi-label Remote Sensing Image Retrieval, A
Better pseudo-label: Joint domain-aware label and dual-classifier for semi-supervised domain generalization
Better pseudo-label: Joint domain-aware label and dual-classifier for semi-supervised domain generalization
Beyond Maximum Independent Set: An Extended Model For Point-feature label Placement
Beyond Object Proposals: Random Crop Pooling for Multi-label Image Recognition
Beyond Pixels: Semi-supervised Semantic Segmentation with a Multi-scale Patch-based Multi-label Classifier
Beyond Ranking Loss: Deep Holographic Networks for Multi-label Video Search
Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven Multi-label Image Classification
Bi-Direction label-Guided Semantic Enhancement for Cross-Modal Hashing
Bi-label Propagation for Generic Multiple Object Tracking
Bias-Based Soft label Learning for Facial Expression Recognition
Bilateral Transformation of Biased Pseudo-labels under Distribution Inconsistency
Bilinear Embedding label Propagation: Towards Scalable Prediction of Image Labels
Bilinear Embedding label Propagation: Towards Scalable Prediction of Image Labels
BiMAE: A Bimodal Masked Autoencoder Architecture for Single-label Hyperspectral Image Classification
Binary Codes Embedding for Fast Image Tagging with Incomplete labels
Biternion Nets: Continuous Head Pose Regression from Discrete Training labels
Black-Box Dissector: Towards Erasing-Based Hard-label Model Stealing Attack
Blended Emotion in-the-Wild: Multi-label Facial Expression Recognition Using Crowdsourced Annotations and Deep Locality Feature Learning
Blind Image Quality Assessment Based on Multichannel Feature Fusion and label Transfer
Block-Based Union-Find Algorithm to label Connected Components on GPUs, A
BLPSeg: Balance the label Preference in Scribble-Supervised Semantic Segmentation
BNU-LSVED 2.0: Spontaneous multimodal student affect database with multi-dimensional labels
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification
BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point labels
Boosting Co-teaching with Compression Regularization for label Noise
Boosting Few-Shot Hyperspectral Image Classification Using Pseudo-label Learning
Boosting Long-Tailed Recognition With label Descriptor and Beyond
Bootstrapping the Relationship Between Images and Their Clean and Noisy labels
BoundaryFace: A Mining Framework with Noise label Self-correction for Face Recognition
BoxTeacher: Exploring High-Quality Pseudo labels for Weakly Supervised Instance Segmentation
Breaking the resolution barrier: A low-to-high network for large-scale high-resolution land-cover mapping using low-resolution labels
Bridging Domains and Resolutions: Deep Learning-Based Land Cover Mapping without Matched labels
Bridging the Gap between label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation
Bridging the Gap Between Model Explanations in Partially Annotated Multi-label Classification
Bringing CLIP to the Clinic: Dynamic Soft labels and Negation-Aware Learning for Medical Analysis
BuildingNet: Learning to label 3D Buildings
Bvtnet: Multi-label Multi-class Fusion of Visible and Thermal Camera for Free Space and Pedestrian Segmentation
Can Ground Truth label Propagation from Video Help Semantic Segmentation?
Can Human Attribute Segmentation be More Robust to Operational Contexts Without New labels?
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No label Space Overlap?
Can We Characterize Tasks Without labels or Features?
Candidate-Aware Selective Disambiguation Based on Normalized Entropy for Instance-Dependent Partial-label Learning
Capsule Network for Hierarchical Multi-label Image Classification, A
Caption-Aided Product Detection via Collaborative Pseudo-label Harmonization
Capturing Feature and label Relations Simultaneously for Multiple Facial Action Unit Recognition
case study of linear classifiers adapted using imperfect labels derived from human event-related potentials, A
Cast Search via Two-Stream label Propagation
Category-Adaptive label Discovery and Noise Rejection for Multi-Label Recognition With Partial Positive Labels
Category-Adaptive label Discovery and Noise Rejection for Multi-Label Recognition With Partial Positive Labels
Category-Adaptive label Discovery and Noise Rejection for Multi-Label Recognition With Partial Positive Labels
Category-Aware Dynamic label Assignment With High-Quality Proposals for Oriented Object Detection
Category-Driven Contrastive Recovery Network for Double Incomplete Multi-View Multi-label Classification, A
Caudo-Diff: Diffusion calibrated pseudo labels in guided latent space for minimally supervised medical segmentation
CCLM: Class-conditional label Noise Modelling
CCMN: A General Framework for Learning With Class-Conditional Multi-label Noise
CDUL: CLIP-Driven Unsupervised Learning for Multi-label Image Classification
Cellular Spatial-Semantic Embedding for Multi-label Classification of Cell Clusters in Thyroid Fine Needle Aspiration Biopsy Whole Slide Images
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy labels
Centroid prior topic model for multi-label classification
CG-FAS: Cross-label Generative Augmentation for Face Anti-Spoofing
Class Enhancement Losses With Pseudo labels for Open-Vocabulary Semantic Segmentation
Class Prototypes based Contrastive Learning for Classifying Multi-label and Fine-Grained Educational Videos
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class labels
Class-Incremental Unsupervised Domain Adaptation via Pseudo-label Distillation
Class-specific feature reconstruction with pseudo-label for open-set HRRP recognition
Class-Wise Denoising for Robust Learning Under label Noise
Classification Approach with a Reject Option for Multi-label Problems, A
Classification with Noisy labels by Importance Reweighting
Classifier-Based Multi-atlas label Propagation with Test-Specific Atlas Weighting for Correspondence-Free Scenarios
Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
Clean-label Attack on Face Authentication Systems Through Rolling Shutter Mechanism
Clean-label Backdoor Attacks on Video Recognition Models
Cleaning Noisy labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation
CleanNet: Transfer Learning for Scalable Image Classifier Training with label Noise
CLIP2Scene: Towards label-efficient 3D Scene Understanding by CLIP
Closer Look at Self-training for Zero-label Semantic Segmentation, A
CLTR: Continual learning time-varying regularization for robust classification of noisy label images
ClusMatch: Improving Deep Clustering by Unified Positive and Negative Pseudo-label Learning
Cluster Centers Provide Good First labels for Object Detection
Cluster-filter-based pseudo-label refinement for source-free domain adaptation fundus image segmentation
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint labels
CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality labels
CMWMF: Constant Memory Architecture of Weighted Mode/Median Filter for Extremely Large label Depth Refinement
CNLL: A Semi-supervised Approach For Continual Noisy label Learning
CNN-RNN: A Unified Framework for Multi-label Image Classification
Co-Correcting: Combat Noisy labels in Space Debris Detection
Co-Correcting: Noise-Tolerant Medical Image Classification via Mutual label Correction
Co-LDL: A Co-Training-Based label Distribution Learning Method for Tackling Label Noise
Co-LDL: A Co-Training-Based label Distribution Learning Method for Tackling Label Noise
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition
Co-Mining: Deep Face Recognition With Noisy labels
Co-Pseudo labeling and Active Selection for Fundus Single-Positive Multi-Label Learning
Co-Saliency Detection for RGBD Images Based on Multi-Constraint Feature Matching and Cross label Propagation
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale label Smoothing
Co-synthesis of Histopathology Nuclei Image-label Pairs Using a Context-conditioned Joint Diffusion Model
Co-teacher-guided pseudo label supervision: A semi-supervised learning framework for muscle and adipose tissue segmentation on chest CT scans
Co-teaching based pseudo label refinery for cross-domain object detection
Co-TES: Learning noisy labels with a Co-Teaching Exchange Student method
Coarse or Fine? Recognising Action End States without labels
Coarse-to-Fine Semantic Segmentation From Image-Level labels
Coding self-representative and label-relaxed hashing for cross-modal retrieval
Collaborative Learning of label Semantics and Deep Label-Specific Features for Multi-Label Classification
Collaborative Learning of label Semantics and Deep Label-Specific Features for Multi-Label Classification
Collaborative Learning of label Semantics and Deep Label-Specific Features for Multi-Label Classification
Collaborative Noisy label Cleaner: Learning Scene-aware Trailers for Multi-modal Highlight Detection in Movies
Collaborative probabilistic labels for face recognition from single sample per person
Collaborative Refining for Person Re-Identification With label Noise
Combating label Distribution Shift for Active Domain Adaptation
Combating label Noise with a General Surrogate Model for Sample Selection
Combating Noisy labels by Agreement: A Joint Training Method with Co-Regularization
Combating Noisy labels by Alleviating the Memorization of DNNs to Noisy Labels
Combating Noisy labels by Alleviating the Memorization of DNNs to Noisy Labels
Combating Noisy labels with Sample Selection by Mining High-Discrepancy Examples
Combination of Classification and Clustering Results with label Propagation
Combining multi-layer integration algorithm with background prior and label propagation for saliency detection
Combining Self-Supervised and Supervised Learning with Noisy labels
Combining Topological Maps, Multi-label Simple Points, and Minimum-Length Polygons for Efficient Digital Partition Model
community discovery algorithm based on boundary nodes and label propagation, A
Compact hashing for mixed image-keyword query over multi-label images
Compact learning for multi-label classification
Comparative Study on the Use of Multi-label Classification Techniques for Concept-Based Video Indexing and Annotation, A
Comparison of Multi-label Feature Selection Methods Using the Algorithm Adaptation Approach, A
Comparison of multi-label graph cuts method and Monte Carlo simulation with block-spin transformation for the piecewise constant Mumford-Shah segmentation model
Compete to Win: Enhancing Pseudo labels for Barely-Supervised Medical Image Segmentation
Complementary label learning with multi-view data and a semi-supervised labeling mechanism
Complementary Pseudo labels for Unsupervised Domain Adaptation On Person Re-Identification
Complementary to Multiple labels: A Correlation-Aware Correction Approach
Complementary two-branch Transformer for multi-label image retrieval
Complete & label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds
Compositional clustering: Applications to multi-label object recognition and speaker identification
Compositional Embeddings for Multi-label One-Shot Learning
Compositional Targeted Multi-label Universal Perturbations
Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-label Supervision
Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-label Learning, A
Concurrent Single-label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding
Conditional Consistency Regularization for Semi-Supervised Multi-label Image Classification
Conditional Graphical Lasso for Multi-label Image Classification
Confidence Calibration of a Medical Imaging Classification System That is Robust to label Noise
Confidence Regularized label Propagation Based Domain Adaptation
Confidence Self-calibration for Multi-label Class-incremental Learning
Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding
Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-labels, A
Consistency and label constrained transfer low-rank representation for cross-light finger vein recognition
Consistency-diversity trade-off and label-guided learning for double-incomplete multi-view multi-label classification
Consistency-diversity trade-off and label-guided learning for double-incomplete multi-view multi-label classification
Constrained instance clustering in multi-instance multi-label learning
Constrained matrix factorization for semi-weakly learning with label proportions
Contactless Pulse Estimation Leveraging Pseudo labels and Self-Supervision
Content and context-based multi-label image annotation
Content-oriented image quality assessment with multi-label SVM classifier
Context label Learning: Improving Background Class Representations in Semantic Segmentation
Context-Aware Capsule Network for Multi-label Classification, A
Context-Aware Feature and label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data
Context-Aware Graph label Propagation Network for Saliency Detection
Context-based multi-label image annotation
Context-Guided Diffusion for label Propagation on Graphs
Contextual decomposition of multi-label images
Contextual label Transformation for Scene Graph Generation
Continuous 3D label Stereo Matching Using Local Expansion Moves
Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and label Input Mechanisms
Continuous label Bayesian Segmentation, Applications to Medical Brain Images
Continuous label distribution learning
Continuous Max-Flow Approach to Minimal Partitions with label Cost Prior, A
Continuous Pseudo-label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations
Continuous Review and Timely Correction: Enhancing the Resistance to Noisy labels via Self-Not-True and Class-Wise Distillation
ContraCluster: Learning to Classify without labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy labels
Contrastive label Disambiguation for Self-Supervised Terrain Traversability Learning in Off-Road Environments
Contrastive Learning for DeepFake Classification and Localization via Multi-label Ranking
Contrastive Learning for label Efficient Semantic Segmentation
Contrastive Learning Improves Model Robustness Under label Noise
Convex Formulation of Continuous Multi-label Problems, A
Convex optimization approach for multi-label feature selection based on mutual information
Convex Relaxation for Multilabel Problems with Product Label Spaces
Correcting Time-Continuous Emotional labels by Modeling the Reaction Lag of Evaluators
Correlated Input-Dependent label Noise in Large-Scale Image Classification
Correlated label Propagation with Application to Multi-label Learning
Correlated label Propagation with Application to Multi-label Learning
Correlation-Induced Negative Suppression Disambiguation Loss for Partial Multi-label Image Classification
Correlative and Discriminative label Grouping for Multi-Label Visual Prompt Tuning
Correlative and Discriminative label Grouping for Multi-Label Visual Prompt Tuning
Correlative multi-label multi-instance image annotation
Correspondence matching using kernel principal components analysis and label consistency constraints
CorrMatch: label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
Cost of Dichotomizing Continuous labels for Binary Classification Problems: Deriving a Bayesian-Optimal Classifier, The
Cost-Efficient Multi-Instance Multi-label Active Learning Via Correlation of Features
Cost-sensitive classifier chains: Selecting low-cost features in multi-label classification
Cost-Sensitive Multi-label Learning for Audio Tag Annotation and Retrieval
Could early visual processes be sufficient to label motions?
Coupled Dictionary Learning for Automatic Multi-label Brain Tumor Segmentation in Flair MRI images
Coupled label and intensity MRF models for IR target detection
CPSL: A semi-supervised framework with class prototype-based modeling for combating noisy labels
CRLSTM-HEXNET: Hybrid Deep Learning Framework with Harris Hawk Optimization in Multi-label Classification
Crop Mapping without labels: Investigating Temporal and Spatial Transferability of Crop Classification Models Using a 5-Year Sentinel-2 Series and Machine Learning
CroSel: Cross Selection of Confident Pseudo labels for Partial-Label Learning
CroSel: Cross Selection of Confident Pseudo labels for Partial-Label Learning
Cross Image Feature Perturbation with Pseudo label Fusion for Semi-Supervised Medical Image Segmentation
Cross modality label fusion in multi-atlas segmentation
Cross- and Intra-Image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Cross-domain person re-identification via learning Heterogeneous Pseudo labels
Cross-label Suppression: A Discriminative and Fast Dictionary Learning With Group Regularization
Cross-Modal Feature Representation Learning and label Graph Mining in a Residual Multi-Attentional CNN-LSTM Network for Multi-Label Aerial Scene Classification
Cross-Modal Feature Representation Learning and label Graph Mining in a Residual Multi-Attentional CNN-LSTM Network for Multi-Label Aerial Scene Classification
Cross-Modal Ranking with Soft Consistency and Noisy labels for Robust RGB-T Tracking
Cross-modal retrieval via label category supervised matrix factorization hashing
Cross-Modal Retrieval With Noisy labels
Cross-Modal Self-Training: Aligning Images and Pointclouds to learn Classification without labels
Cross-Modality Prompts: Few-Shot Multi-label Recognition With Single-Label Training
Cross-Modality Prompts: Few-Shot Multi-label Recognition With Single-Label Training
Cross-scene target detection based on feature adaptation and uncertainty-aware pseudo-label learning for high resolution SAR images
Cross-Training Deep Neural Networks for Learning from label Noise
Crowdassign: A label Assignment Scheme for Pedestrian Detection in Crowded Scenes
Crowdsourcing Thousands of Specialized labels: A Bayesian Active Training Approach
CSSBA: A Clean label Sample-Specific Backdoor Attack
Curiosity-driven 3D Object Detection Without labels
Curious Layperson: Fine-Grained Image Recognition Without Expert labels, The
Curriculum learning with class-label composition for weakly supervised semantic segmentation
Curvature Regularity for Multi-label Problems: Standard and Customized Linear Programming
Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces, A
Cycle Consistency Based Pseudo label and Fine Alignment for Unsupervised Domain Adaptation
Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy labels
Cyclic Learning: Bridging Image-Level labels and Nuclei Instance Segmentation
Cyclic Pseudo-label Generation and Refinement for Weakly Supervised Referring Expression Grounding
CYFLOD: Cyclic Filtering and Loss Damping for Alleviating Noisy labels in Fine-Grained Visual Classification
DAHP: Deep Attention-Guided Hashing With Pairwise labels
DAR-Prompt: Dynamic Regulation in Prompt Tuning for Multi-label Zero-Shot Learning
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
DAT: Training Deep Networks Robust to label-Noise by Matching the Feature Distributions
Data Augmentation With Regularization for Multi-labeled Complementary Label Learning
Data-Centric Approach for Improving Ambiguous labels with Combined Semi-supervised Classification and Clustering, A
Data-Dependent label Distribution Learning for Age Estimation
Data-Free Neural Architecture Search via Recursive label Calibration
Data-Free Quantization via Pseudo-label Filtering
Dataset Distillation for Super-Resolution Without Class labels and Pre-Trained Models
DATran: Dual Attention Transformer for Multi-label Image Classification
De-confusing Pseudo-labels in Source-free Domain Adaptation
De-Simplifying Pseudo labels to Enhancing Domain Adaptive Object Detection
Dealing with a priori knowledge by fuzzy labels
Dealing with partial labels by knowledge distillation
Debiased Learning from Naturally Imbalanced Pseudo-labels
Decoding class dynamics in learning with noisy labels
Decoding Electromyographic Signal With Multiple labels for Hand Gesture Recognition
Deep active object recognition by joint label and action prediction
Deep CNN with Graph Laplacian Regularization for Multi-label Image Annotation
Deep Co-Image-label Hashing for Multi-Label Image Retrieval
Deep Co-Image-label Hashing for Multi-Label Image Retrieval
Deep code operation network for multi-label image retrieval
Deep conditional adaptation networks and label correlation transfer for unsupervised domain adaptation
Deep continual hashing for real-world multi-label image retrieval
Deep convolutional hashing using pairwise multi-label supervision for large-scale visual search
Deep Determinantal Point Process for Large-Scale Multi-label Classification
Deep Discrete Hashing for label Distribution Learning
Deep Discriminative Hashing Networks on Point-wise labels for Image Retrieval
Deep domain adaptation with manifold aligned label transfer
Deep Facial Age Estimation Using Conditional Multitask Learning With Weak label Expansion
Deep Generative Models for Weakly-Supervised Multi-label Classification
Deep Hashing With Multi-Central Ranking Loss for Multi-label Image Retrieval
Deep Hashing with Triplet labels and Unification Binary Code Selection for Fast Image Retrieval
Deep Hashing With Walsh Domain for Multi-label Image Retrieval
Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous label Spaces
Deep Image Retrieval is not Robust to label Noise
Deep Integration: A Multi-label Architecture for Road Scene Recognition
Deep label Distribution Learning for Apparent Age Estimation
Deep label Distribution Learning With Label Ambiguity
Deep label Distribution Learning With Label Ambiguity
Deep label Prior: Pre-Training-Free Salient Object Detection Network Based on Label Learning
Deep label Prior: Pre-Training-Free Salient Object Detection Network Based on Label Learning
Deep label Propagation With Nuclear Norm Maximization for Visual Domain Adaptation
Deep label refinement for age estimation
deep learning approach to DTM extraction from imagery using rule-based training labels, A
Deep Learning from Noisy Image labels with Quality Embedding
Deep Learning with Noisy labels, Robust Deep Learning
Deep Matrix Factorization With Complementary Semantic Aggregation for Micro-Video Multi-label Classification
Deep Metric Learning for Multi-label and Multi-Object Image Retrieval
Deep Metric Transfer for label Propagation with Limited Annotated Data
Deep Modality Assistance Co-Training Network for Semi-Supervised Multi-label Semantic Decoding
Deep Models for Engagement Assessment With Scarce label Information
Deep Multi-Modal CNN for Multi-Instance Multi-label Image Classification, A
Deep Multi-Task Multi-label CNN for Effective Facial Attribute Classification
Deep multitask learning with label interdependency distillation for multicriteria street-level image classification
Deep neighbor-aware hashing with global-local representation for multi-label remote sensing image retrieval
Deep Network Architectures as Feature Extractors for Multi-label Classification of Remote Sensing Images
Deep Ordinal Regression with label Diversity
Deep Ranking Distribution Preserving Hashing for Robust Multi-label Cross-Modal Retrieval
Deep Ranking for Image Zero-Shot Multi-label Classification
Deep Region and Multi-label Learning for Facial Action Unit Detection
deep reinforcement active learning method for multi-label image classification, A
Deep Relational Model: A Joint Probabilistic Model with a Hierarchical Structure for Bidirectional Estimation of Image and labels
Deep robust multilevel semantic hashing for multi-label cross-modal retrieval
Deep self-enhancement hashing for robust multi-label cross-modal retrieval
Deep Self-Learning From Noisy labels
Deep Semantic Ranking Based Hashing for Multi-label Image Retrieval
Deep Semantic-Aware Proxy Hashing for Multi-label Cross-Modal Retrieval
Deep Semi-Supervised Metric Learning with Mixed label Propagation
Deep Supervised Hashing with Triplet labels
DeepBE: Learning Deep Binary Encoding for Multi-label Classification
Deepfake Detection Fighting Against Noisy label Attack
Deeply Associative Two-Stage Representations Learning Based on labels Interval Extension Loss and Group Loss for Person Re-Identification
Deeply Hybrid Contrastive Learning Based on Semantic Pseudo-label for Salient Object Detection in Optical Remote Sensing Images
DeepSAR: Vessel Detection in SAR Imagery with Noisy labels
Defect Inspection using Gravitation Loss and Soft labels
Deformable Object Matching via Deformation Decomposition Based 2D label MRF
DELTA: A deep dual-stream network for multi-label image classification
Delving Deep Into label Smoothing
Delving Into Generalizable label Distribution Learning
Delving into Masked Autoencoders for Multi-label Thorax Disease Classification
Dense label Encoding for Boundary Discontinuity Free Rotation Detection
Dense Teacher: Dense Pseudo-labels for Semi-supervised Object Detection
Denser Teacher: Rethinking Dense Pseudo-label for Semi-Supervised Oriented Object Detection
Density Peak-Based Noisy label Detection for Hyperspectral Image Classification
Density-based label placement
Density-Guided Dense Pseudo label Selection for Semi-Supervised Oriented Object Detection
Density-Guided label Smoothing for Temporal Localization of Driving Actions
Dependent binary relevance models for multi-label classification
Depthsegnet24: A label-free Model for Robust Day-night Depth and Semantics
Designing multi-label classifiers that maximize F measures: State of the art
Detecting Arbitrarily Oriented Text labels in Early Maps
Detecting Danger labels with RAM-Based Neural Networks
Detecting Figure-Panel labels in Medical Journal Articles Using MRF
Detecting figures and part labels in patents: competition-based development of graphics recognition algorithms
Detecting Socially Significant Music Events Using Temporally Noisy labels
Detecting temporally consistent objects in videos through object class label propagation
Detecting, segmenting and tracking unknown objects using multi-label MRF inference
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level labels
Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-label Classification
Devil is in the labels: Noisy Label Correction for Robust Scene Graph Generation, The
Devil is in the labels: Noisy Label Correction for Robust Scene Graph Generation, The
Devil is in the Margin: Margin-based label Smoothing for Network Calibration, The
DHLA: Dynamic Hybrid label Assignment for End-to-End Object Detection
Difference-Complementary Learning and label Reassignment for Multimodal Semi-Supervised Semantic Segmentation of Remote Sensing Images
Differential Enhanced Siamese Segmentation Network for Printed label Defect Detection
Diffusemix: label-Preserving Data Augmentation with Diffusion Models
Diffusion-based Image Translation with label Guidance for Domain Adaptive Semantic Segmentation
Digging Into Uncertainty-Based Pseudo-label for Robust Stereo Matching
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy labels
DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization
Directed Acyclic Graph Continuous Max-Flow Image Segmentation for Unconstrained label Orderings
Directional label Diffusion Model for Learning from Noisy Labels
Directional label Diffusion Model for Learning from Noisy Labels
DirMixE: Harnessing Test Agnostic Long-Tail Recognition With Hierarchical label Vartiations
DISC: Learning from Noisy labels via Dynamic Instance-Specific Selection and Correction
Discovering Multi-label Actor-Action Association in a Weakly Supervised Setting
Discriminative and Efficient label Propagation on Complementary Graphs for Multi-Object Tracking
Discriminative Dictionary Learning With Common label Alignment for Cross-Modal Retrieval
Discriminative label consistent dictionary learning
Discriminative label correlation based robust structure learning for multi-label feature selection
Discriminative label correlation based robust structure learning for multi-label feature selection
Discriminative label Propagation for Multi-object Tracking with Sporadic Appearance Features
Discriminative multi-label feature selection with adaptive graph diffusion
Discriminative Noise Robust Sparse Orthogonal label Regression-Based Domain Adaptation
Discriminative Region-based Multi-label Zero-Shot Learning
Discriminative response pruning for robust and efficient deep networks under label noise
Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification
Disentangling label Distribution for Long-tailed Visual Recognition
Disentangling Latent Space for VAE by label Relevant/Irrelevant Dimensions
Disentangling, Embedding and Ranking label Cues for Multi-Label Image Recognition
Disentangling, Embedding and Ranking label Cues for Multi-Label Image Recognition
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
Distanceless label propagation: An efficient direct connected component labeling algorithm for GPUs
Distilling Effective Supervision From Severe label Noise
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse label Assignment
Distorted Pattern Analysis with the Help of Node label Controlled Graph Languages
Distribution-Aware Multi-label FixMatch for Semi-Supervised Learning on CheXpert
Distribution-aware Robust Learning from Long-tailed Data with Noisy labels
Distribution-balanced Loss for Multi-label Classification in Long-tailed Datasets
Distributionally Robust Loss for Long-tailed Multi-label Image Classification
Diverse image annotation with missing labels
DLAHSD: Dynamic label Adopted in Auxiliary Head for SAR Detection
DLR: Adversarial examples detection and label recovery for deep neural networks
DLS-HCAN: Duplex label Smoothing Based Hierarchical Context-Aware Network for Fine-Grained 3D Shape Classification
DN-TOD: Robust tiny object detection amidst label noise
Do We Really Need Gold Samples for Sample Weighting under label Noise?
Do What You Can, With What You Have: Scale-aware and High Quality Monocular Depth Estimation Without Real World labels
Domain Adaptation for Remote Sensing Image Classification: A Low-Rank Reconstruction and Instance Weighting label Propagation Inspired Algorithm
Domain Adaptation from Visible-Light to FIR with Reliable Pseudo labels
Domain Adaptation Using Pseudo labels for COVID-19 Detection
Domain adaptation via transferring spectral properties of label functions on graphs
Domain Adaptive Semantic Segmentation Using Weak labels
Domain Knowledge Alleviates Adversarial Attacks in Multi-label Classifiers
Domain Transfer Support Vector Ranking for Person Re-identification without Target Camera label Information
Domain-Based Semi-Supervised Learning: Exploiting label Invariance in Unlabeled Data from Distributed Cameras
Domain-robust VQA with diverse datasets and methods but no target labels
Double-weighted patch-based label fusion for MR brain image segmentation
DPL++: Advancing the Network Performance via Image and label Perturbations
DR10K: Transfer Learning Using Weak labels for Grading Diabetic Retinopathy on DR10K Dataset
Drosophila Embryo Stage Annotation Using label Propagation
DSLA: Dynamic smooth label assignment for efficient anchor-free object detection
Dual aggregated feature pyramid network for multi label classification
Dual Assignment of labels for end-to-end fully convolutional object detection
Dual attention module and multi-label based fully convolutional network for crowd counting
Dual Contrastive label Enhancement
Dual DETRs for Multi-label Temporal Action Detection
Dual Diversity and Pseudo-label Correction Learning for Semi-Supervised Medical Image Segmentation
Dual Feature Fusion for Incomplete Multi-View Multi-label Learning
Dual Fuzzy Hypergraph Regularized Multi-label Learning for Protein Subcellular Location Prediction
Dual independent pathway-densely connected residual network with dilated convolution-based arterial spin labeling MRI image reconstruction with minimum label-control pairs
Dual Knowledge Distillation on Multiview Pseudo labels for Unsupervised Person Re-Identification
Dual Layer Voting Method for Efficient Multi-label Classification
Dual Noise Elimination and Dynamic label Correlation Guided Partial Multi-Label Learning
Dual Noise Elimination and Dynamic label Correlation Guided Partial Multi-Label Learning
Dual Pseudo-labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification
Dual Weighting label Assignment Scheme for Object Detection, A
Dual-Channel Residual Network for Hyperspectral Image Classification With Noisy labels
Dual-decoupling Learning and Metric-adaptive Thresholding for Semi-supervised Multi-label Learning
Dual-Domain Aligned Deep Hierarchical Matrix Factorization Method for Micro-Video Multi-label Classification
Dual-Mode iterative denoiser: Tackling the weak label for anomaly detection
Dual-Refinement: Joint label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
Dual-View Alignment Learning With Hierarchical-Prompt for Class-Imbalance Multi-label Image Classification
DualCoOp++: Fast and Effective Adaptation to Multi-label Recognition With Limited Annotations
DualGraph: A graph-based method for reasoning about label noise
Dynamic Classifier Chains for Multi-label Learning
Dynamic Confidence Sampling and label Semantic Guidance Learning for Domain Adaptive Retrieval
Dynamic Correlation Learning and Regularization for Multi-label Confidence Calibration
Dynamic deep multi-label image data augmentation based on self-paced learning
Dynamic facial expression recognition with pseudo-label guided multi-modal pre-training
Dynamic Fusion for Generating High-Quality labels in Low-Light Image Enhancement
Dynamic graph fusion label propagation for semi-supervised multi-modality classification
Dynamic label Graph Matching for Unsupervised Video Re-identification
Dynamic label Propagation for Semi-supervised Multi-class Multi-label Classification
Dynamic label Propagation for Semi-supervised Multi-class Multi-label Classification
Dynamic Learnable label Assignment for Indoor 3D Object Detection
Dynamic Multi-Modal Hypergraph Learning for Semi-Supervised Multi-label Image Recognition
Dynamic Programming for Instance Annotation in Multi-Instance Multi-label Learning
Dynamic Pseudo-label Generation for Weakly Supervised Object Detection in Remote Sensing Images
Dynamic selection for reconstructing instance-dependent noisy labels
Dynamics-aware loss for learning with label noise
Edge-Aware label Propagation for Mobile Facial Enhancement on the Cloud
Editorial: Learning With Fewer labels in Computer Vision
Effect of label Noise on the Machine-Learned Classification of Earthquake Damage
effect of semantic relatedness measures on multi-label classification evaluation, The
Effect of Stage Training for Long-Tailed Multi-label Image Classification
Effect of Training Class label Noise on Classification Performances for Land Cover Mapping with Satellite Image Time Series
Effective and Robust Adversarial Training Against Data and label Corruptions
effective bipartite graph fusion and contrastive label correlation for multi-view multi-label classification, An
effective bipartite graph fusion and contrastive label correlation for multi-view multi-label classification, An
Effectively Utilizing the Category labels for Image Captioning
Efficient Energy Minimization for Enforcing label Statistics
efficient first-scan method for label-equivalence-based labeling algorithms, An
Efficient human-object-interaction (EHOI) detection via interaction label coding and Conditional Decision
Efficient label Collection for Image Datasets via Hierarchical Clustering
Efficient label collection for unlabeled image datasets
Efficient label-free pruning and retraining for Text-VQA Transformers
Efficient Learning to label Images
Efficient multi-label classification with hypergraph regularization
Efficient multi-label ranking for multi-class learning: Application to object recognition
Efficient One Pass Self-distillation with Zipf's label Smoothing
Efficient Oriented Object Detection via Wavelet-Based Energy label Reassignment and Dual Prediction Strategy
Efficient region-aware large graph construction towards scalable multi-label propagation
Efficient Transfer by Robust label Selection and Learning with Pseudo-Labels
Efficient Transfer by Robust label Selection and Learning with Pseudo-Labels
Efficient Video Semantic Segmentation with labels Propagation and Refinement
EGGNOG: A Continuous, Multi-modal Data Set of Naturally Occurring Gestures with Ground Truth labels
EI-MVSNet: Epipolar-Guided Multi-View Stereo Network With Interval-Aware label
ELDP: Enhanced label Distribution Propagation for Crowdsourcing
Embedded feature fusion for multi-view multi-label feature selection
Embedded multi-label feature selection via orthogonal regression
Embedding label Structures for Fine-Grained Feature Representation
Embedding Transfer with label Relaxation for Improved Metric Learning
Embryo Grading With Unreliable labels Due to Chromosome Abnormalities by Regularized PU Learning With Ranking
Emerging Trends of Multi-label Learning, The
Emotion Recognition of Affective Speech Based on Multiple Classifiers Using Acoustic-Prosodic Information and Semantic labels
Emotions Like Human: Self-Supervised Emotion label Augmentation for Emotion Recognition in Conversation
Empirical Analysis for Zero-Shot Multi-label Classification on COVID-19 CT Scans and Uncurated Reports, An
Empirical Study of Multi-label Classification Methods for Image Annotation and Retrieval
End-to-End Automatic Image Annotation Based on Deep CNN and Multi-label Data Augmentation
End-to-End label Uncertainty Modeling in Speech Emotion Recognition Using Bayesian Neural Networks and Label Distribution Learning
End-to-End label Uncertainty Modeling in Speech Emotion Recognition Using Bayesian Neural Networks and Label Distribution Learning
Energy Minimization under Constraints on label Counts
Energy-based pseudo-label refining for source-free domain adaptation
Enhance Via Decoupling: Improving Multi-label Classifiers With Variational Feature Augmentation
enhanced approach for few-shot segmentation via smooth downsampling mask and label smoothing loss, An
Enhanced Meta label Correction for Coping with Label Corruption
Enhanced Meta label Correction for Coping with Label Corruption
Enhanced Multi-label Random Walk for Biomedical Image Segmentation Using Statistical Seed Generation, An
Enhanced Pseudo-label Generation With Self-Supervised Training for Weakly- Supervised Semantic Segmentation
Enhanced Sequential ISAR Image Scatterer Trajectory Association Method Utilizing Modified label Gaussian Mixture Probability Hypothesis Density Filter, An
Enhanced Soft label for Semi-Supervised Semantic Segmentation
Enhancement of DNN-based multilabel classification by grouping labels based on data imbalance and label correlation
Enhancement of DNN-based multilabel classification by grouping labels based on data imbalance and label correlation
Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following labels
Enhancing Adversarial Robustness in Low-label Regime via Adaptively Weighted Regularization and Knowledge Distillation
Enhancing few-shot object detection through pseudo-label mining
Enhancing Interactive Image Segmentation with Automatic label Set Augmentation
Enhancing label inference algorithms considering vertex importance in graph-based semi-supervised learning
Enhancing multi-label classification by modeling dependencies among labels
Enhancing multi-label classification by modeling dependencies among labels
Enhancing Multi-label Deep Hashing for Image and Audio With Joint Internal Global Loss Constraints and Large Vision-Language Model
Enhancing Multi-label Long-Tailed Classification on Chest X-Rays through ML-GCN Augmentation
Enhancing Perceptual Quality Assessment for 360-Degree Images Based on Adaptive Patch labeling and Multi-Label Learning
Enhancing Semi-Supervised Instance Segmentation Through SAM-Driven Pseudo-label Generation in Autonomous Driving Environment
Enhancing Source-Free Domain Adaptive Object Detection with Low-Confidence Pseudo label Distillation
Enhancing Targeted Transferability Via Suppressing High-Confidence labels
Ensemble Learning With Manifold-Based Data Splitting for Noisy label Correction
Ensemble Network-Based Distillation for Hyperspectral Image Classification in the Presence of label Noise
Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images, An
Error-Robust and label-Efficient Deep Learning for Understanding Tumor Microenvironment From Spatial Transcriptomics
Estimating 3D hand pose using hierarchical multi-label classification
Estimating Feature-label Dependence Using Gini Distance Statistics
Estimating Noisy Class Posterior with Part-level labels for Noisy Label Learning
Estimating Noisy Class Posterior with Part-level labels for Noisy Label Learning
Estimating Per-Class Statistics for label Noise Learning
Estimating the Nutrient Content of Commercial Foods from their label Using Numerical Optimization
Estimating the Uncertainty in Emotion Class labels With Utterance-Specific Dirichlet Priors
Estimation of Emotion labels via Tensor-Based Spatiotemporal Visual Attention Analysis
Estimation of probabilities of label imperfections and correction of mislabels
Event Detection Using Multi-level Relevance labels and Multiple Features
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Evidential Pseudo-label Ensemble for semi-supervised classification
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy labels
Exact inference in multi-label CRFs with higher order cliques
Expand globally, shrink locally: Discriminant multi-label learning with missing labels
Expand globally, shrink locally: Discriminant multi-label learning with missing labels
Explainable Noisy label Flipping for Multi-Label Fashion Image Classification
Explainable Noisy label Flipping for Multi-Label Fashion Image Classification
Explicit View-labels Matter: A Multifacet Complementarity Study of Multi-View Clustering
Exploit Bounding Box Annotations for Multi-label Object Recognition
Exploiting Completeness and Uncertainty of Pseudo labels for Weakly Supervised Video Anomaly Detection
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning
Exploiting Knowledge Embedded Soft labels for Image Recognition
Exploiting label Uncertainty for Enhanced 3D Object Detection From Point Clouds
Exploiting Minority Pseudo-labels for Semi-Supervised Fine-Grained Road Scene Understanding
Exploiting Pseudo labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation
Exploiting Saliency for Object Segmentation from Image Level labels
Exploiting the potential supervision information of clean samples in partial label learning
Exploiting unlabeled data in few-shot learning with manifold similarity and label cleaning
Exploring Homogeneous and Heterogeneous Consistent label Associations for Unsupervised Visible-Infrared Person ReID
Exploring Self-Attention Graph Pooling With EEG-Based Topological Structure and Soft label for Depression Detection
Exploring Structured Semantic Prior for Multi label Recognition with Incomplete Labels
Exploring Structured Semantic Prior for Multi label Recognition with Incomplete Labels
Exploring SVM for Image Annotation in Presence of Confusing labels
Exploring uncertainty in pseudo-label guided unsupervised domain adaptation
Exploring Weighted Dual Graph Regularized Non-Negative Matrix Tri-Factorization Based Collaborative Filtering Framework for Multi-label Annotation of Remote Sensing Images
Expression-Latent-Space-guided GAN for Facial Expression Animation based on Discrete labels
Extended T: Learning With Mixed Closed-Set and Open-Set Noisy labels
Extending Ordinary-label Learning Losses to Complementary-Label Learning
Extending Ordinary-label Learning Losses to Complementary-Label Learning
Extending version-space theory to multi-label active learning with imbalanced data
extensive experimental comparison of methods for multi-label learning, An
External Attention Based TransUNet and label Expansion Strategy for Crack Detection
Extract Free Dense labels from CLIP
Extracting Action Hierarchies from Action labels and their Use in Deep Action Recognition
Extracting Causal Visual Features for Limited label Classification
Extracting shared subspace incrementally for multi-label image classification
F-measure optimisation in multi-label classifiers
Face Recognition in Videos by label Propagation
Face Value: On the Impact of Annotation (In-)Consistencies and label Ambiguity in Facial Data on Emotion Recognition
Facial Action Unit Recognition and Intensity Estimation Enhanced Through label Dependencies
Facial action unit recognition under incomplete data based on multi-label learning with missing labels
Facial action unit recognition under incomplete data based on multi-label learning with missing labels
Facial age estimation based on label-sensitive learning and age-oriented regression
Facial Age Estimation by Adaptive label Distribution Learning
Facial Age Estimation by Learning from label Distributions
Facial Depression Recognition by Deep Joint label Distribution and Metric Learning
Facial Emotion Distribution Learning by Exploiting Low-Rank label Correlations Locally
Facial expression recognition boosted by soft label with a diverse ensemble
Facial Expression Recognition With label-Noisy Under Dual-Branch Noise Extraction and Suppression
Facial expressions classification and false label reduction using LDA and threefold SVM
Facial Pose Estimation by Deep Learning from label Distributions
Factored Latent-Dynamic Conditional Random Fields for single and multi-label sequence modeling
Fashion Parsing With Weak Color-Category labels
Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees
Fast Approximate Energy Minimization with label Costs
Fast building segmentation from satellite imagery and few local labels
Fast constrained person identity label propagation in stereo videos using a pruned similarity matrix
Fast Discrete Cross-Modal Hashing Based on label Relaxation and Matrix Factorization
fast first-scan algorithm for label-equivalence-based connected-component labeling, A
Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training labels
Fast label propagation for real-time superpixels for video content
FAST label: Easy and Efficient Solution of Joint Multi-label and Estimation Problems
FAST label: Easy and Efficient Solution of Joint Multi-label and Estimation Problems
Fast Learning from label Proportions with Small Bags
Fast Multi-Instance Multi-label Learning
Fast multi-label core vector machine
Fast multi-label feature selection based on information-theoretic feature ranking
Fast random k-labelsets for large-scale multi-label classification
FastGRAIL: Anchor-graph-based fast adaptive partial multi-label learning with label correlations
FastGRAIL: Anchor-graph-based fast adaptive partial multi-label learning with label correlations
Fault-PLS-PCL: Cross-domain seismic fault detection via pseudo-label selection and prototype contrastive learning
Feature and label relation modeling for multiple-facial action unit classification and intensity estimation
Feature Integration Via Geometrical Supervised Multi-View Multi-label Canonical Correlation For Incomplete Label Assignment
Feature Integration Via Geometrical Supervised Multi-View Multi-label Canonical Correlation For Incomplete Label Assignment
Feature Learning Network with Transformer for Multi-label Image Classification
Feature Re-Representation and Reliable Pseudo label Retraining for Cross-Domain Semantic Segmentation
Feature selection for multi-label classification using multivariate mutual information
Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measures
Feature Sensitive label Fusion With Random Walker for Atlas-Based Image Segmentation
Feature space sharing via visual projector for open-vocabulary multi-label classification
Feature-Induced label Distribution for Learning with Noisy Labels
Feature-Induced label Distribution for Learning with Noisy Labels
Feature-Level Knowledge Distillation for Place Recognition Based on Soft-Hard labels Teaching Paradigm
FedCorr: Multi-Stage Federated Learning for label Noise Correction
Federated Learning Approach With Imperfect labels in LoRa-Based Transportation Systems, A
Federated Learning with Local Openset Noisy labels
Federated Multi-Organ Segmentation With Inconsistent labels
Federated semi-supervised medical image segmentation with temporal fluctuation aggregation and pseudo-label relation mining
FedRS: Federated Learning Under Reliable Supervision for Multi-Organ Segmentation With Inconsistent labels
FerKD: Surgical label Adaptation for Efficient Distillation
Few labels are Enough! Semi-supervised Graph Learning for Social Interaction
Few-label blind image quality assessment via samples chosen from new and existing scenes
Few-shot Hierarchical Text Classification with Bidirectional Path Constraint by label weighting
Few-Shot Incremental Learning for label-to-Image Translation
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo label Assessment for Whole Heart Segmentation
Few-shot learning with long-tailed labels
Few-shot Learning with Noisy labels
Field-Scale Detection of Rice Bacterial Leaf Blight Using UAV-Based Multispectral Imagery: Via Cross-Scale Sample-label Transfer and Spatial-Spectral Feature Fusion
Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy labels
Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product label-Spaces
Finding connected components in digital images by aggressive reuse of labels
Fine-grained Angular Contrastive Learning with Coarse labels
Fine-Grained Classification with Noisy labels
Fine-Grained Image Classification by Exploring Bipartite-Graph labels
Flexible multi-view feature selection with semi-supervised label semantic alignment
FMAPLS: Bayesian label Shift Estimation Based on Dynamic Dirichlet Parameter Adaptation
Focus, Segment and Erase: An Efficient Network for Multi-label Brain Tumor Segmentation
Font Generation with Missing Impression labels
Food Recognition in the Presence of label Noise
Fooling a Face Recognition System with a Marker-Free label-Consistent Backdoor Attack
Foreground-Background Segmentation of Optical Character-Recognition labels by a Single Layer Recurrent Neural-Network
Forming Auxiliary High-confident Instance-level Loss to Promote Learning from label Proportions
Foster Adaptivity and Balance in Learning with Noisy labels
FPL+: Filtered Pseudo label-Based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation
Fragmentary label distribution learning via graph regularized maximum entropy criteria
Frame Interpolation and Bidirectional Prediction of Video Using Compactly Encoded Optical-Flow Fields and label Fields
Framework for label Images, A
Fresh Tea Shoot Maturity Estimation via Multispectral Imaging and Deep label Distribution Learning
From Attribute-labels to Faces: Face Generation Using a Conditional Generative Adversarial Network
From CAD Models to Soft Point Cloud labels: An Automatic Annotation Pipeline for Cheaply Supervised 3D Semantic Segmentation
From categories to subcategories: Large-scale image classification with partial class label refinement
From Connectivity Models to Region labels: Identifying Foci of a Neurological Disorder
From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft labels
From label fusion to correspondence fusion: A new approach to unbiased groupwise registration
From label Maps to Label Strokes: Semantic Segmentation for Street Scenes from Incomplete Training Data
From label Maps to Label Strokes: Semantic Segmentation for Street Scenes from Incomplete Training Data
From Prompts to Self-Prompts: Parameter-Efficient Multi-label Remote Sensing via Mask-Guided Classification
Full-Stage Pseudo label Quality Enhancement for Weakly-Supervised Temporal Action Localization
Fully Associative Ensemble Learning for Hierarchical Multi-label Classification
Function-based labels for complementary recommendation: Definition, annotation, and LLM-as-a-Judge
Fundus Image-label Pairs Synthesis and Retinopathy Screening via GANs With Class-Imbalanced Semi-Supervised Learning
Fusion of Global-Local Features for Image Quality Inspection of Shipping label
Fuzzy neighborhood-based feature selection with missing labels via feature graph matrix and label enhancement
Fuzzy neighborhood-based feature selection with missing labels via feature graph matrix and label enhancement
Fuzzy VA-Files for multi-label image annotation based on visual content of regions
G2L: A High-Dimensional Geometric Approach for Automatic Generation of Highly Accurate Pseudo-labels
Gat-Assisted Deep Hashing for Multi-label Image Retrieval
GATE: Graph CCA for Temporal Self-Supervised Learning for label-Efficient fMRI Analysis
Gaussian label Distribution Learning for Spherical Image Object Detection
GCN-Based Multi-Modal Multi-label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features
GEIKD: Self-knowledge distillation based on gated ensemble networks and influences-based label noise removal
general elevating framework for label noise filters, A
General Gaussian Heatmap label Assignment for Arbitrary-Oriented Object Detection, A
General Multi-label Image Classification with Transformers
Generalization on Unseen Domains via Inference-time label-Preserving Target Projections
Generalized Background Subtraction Using Superpixels with label Integrated Motion Estimation
Generalized Fusion Moves for Continuous label Optimization
Generalized Large Margin kNN for Partial label Learning
Generalized Roof Duality for Multi-label Optimization: Optimal Lower Bounds and Persistency
Generalized Semantic Preserving Hashing for N-label Cross-Modal Retrieval
generalized weighted distance k-Nearest Neighbor for multi-label problems, A
Generated Data With Sparse Regularized Multi-Pseudo label for Person Re-Identification
Generated Pseudo-labels Guided by Background Skeletons for Overcoming Under-Segmentation in Overlapping Particle Objects
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations
Generating labels for regression of subjective constructs using triplet embeddings
Generating Target Image-label Pairs for Unsupervised Domain Adaptation
Generating Thermal Human Faces for Physiological Assessment using Thermal Sensor Auxiliary labels
Generation of human depth images with body part labels for complex human pose recognition
Generative Model for Image Segmentation Based on label Fusion, A
Generative Model for Probabilistic label Fusion of Multimodal Data, A
Generative Multi-label Zero-Shot Learning
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation
Generative Reasoning Integrated label Noise Robust Deep Image Representation Learning
GenKL: An Iterative Framework for Resolving label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence
GenKL: An Iterative Framework for Resolving label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence
Geo-Object-Based Land Cover Map Update for High-Spatial-Resolution Remote Sensing Images via Change Detection and label Transfer
Geodesy on label images, and applications to video sequence processing
GIDDM: Generating labels With Diffusion Model to Promote Cross-Domain Open-Set Image Recognition
GKGNET: Group K-nearest Neighbor Based Graph Convolutional Network for Multi-label Image Recognition
GlandSAM: Injecting Morphology Knowledge Into Segment Anything Model for label-Free Gland Segmentation
Glass object segmentation by label transfer on joint depth and appearance manifolds
GLENet: Boosting 3D Object Detectors with Generative label Uncertainty Estimation
Global-guided weakly-supervised learning for multi-label image classification
Global-Local GCN: Large-Scale label Noise Cleansing for Face Recognition
Global-Local label Correlation for Partial Multi-Label Learning
Global-Local label Correlation for Partial Multi-Label Learning
Global-local prompts guided image-text embedding, alignment and aggregation for multi-label zero-shot learning
Globally Consistent Multi-label Assignment on the Ray Space of 4D Light Fields
Globally-Variant Locally-Constant Model for Fusion of labels from Multiple Diverse Experts without Using Reference Labels, A
Globally-Variant Locally-Constant Model for Fusion of labels from Multiple Diverse Experts without Using Reference Labels, A
GLoRIA: A Multimodal Global-Local Representation Learning Framework for label-efficient Medical Image Recognition
Good, the Bad, and the Ugly: Predicting Aesthetic Image labels, The
Gradient-based multi-label feature selection considering three-way variable interaction
Gradual Domain Adaptation with Pseudo-label Denoising for SAR Target Recognition When Using Only Synthetic Data for Training
Grafit: Learning fine-grained image representations with coarse labels
Granular multi-label feature selection based on mutual information
Graph Convolutional label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection
Graph Convolutional Networks for Learning with Few Clean and Many Noisy labels
Graph Cut Based Continuous Stereo Matching Using Locally Shared labels
Graph cut with ordering constraints on labels and its applications
Graph label prediction based on local structure characteristics representation
Graph Learning on Millions of Data in Seconds: label Propagation Acceleration on Graph Using Data Distribution
Graph Regularized Deep Discrete Hashing for Multi-label Image Retrieval
Graph-Based label Propagation in Fetal Brain MR Images
Graph-Based Semi-Supervised Learning with Multiple labels
GraphDPI: Partial label disambiguation by graph representation learning via mutual information maximization
Ground2sky label transfer for fine-grained aerial car recognition
Group preserving label embedding for multi-label classification
Group preserving label embedding for multi-label classification
Group Sparsity Constrained Automatic Brain label Propagation
Group-Aware label Transfer for Domain Adaptive Person Re-Identification
GroupLearning: label Noise Mitigation Through Multi-Expert Collaboration for Medical Image Analysis
Guest Editorial Introduction to the Special Issue on label-Efficient Learning on Video Data
Guiding Prototype Networks with label semantics for few-shot text classification
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation
Gully Erosion Monitoring Based on Semi-Supervised Semantic Segmentation with Boundary-Guided Pseudo-label Generation Strategy and Adaptive Loss Function
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and label Refinement
Half a Percent of labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning
Hand tracking from monocular RGB with dense semantic labels
Handling Image and label Resolution Mismatch in Remote Sensing
Handling label Noise in Video Classification via Multiple Instance Learning
Handling Noisy labels in Gaze-Based CBIR System
Hard-label based Small Query Black-box Adversarial Attack
Hard-Soft Pseudo labels Guided Semi-Supervised Learning for Point Cloud Classification
Hardware- and Memory-Efficient Architecture for Disparity Estimation of Large label Counts
Hardware-Efficient Guided Image Filtering for Multi-label Problem
Harnessing Feature Distribution Consistency for Federated Learning with Noisy labels
Harnessing label Uncertainty to Improve Modeling: An Application to Student Engagement Recognition
HCP: A Flexible CNN Framework for Multi-label Image Classification
Head Pose Estimation Based on Multivariate label Distribution
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Hidden-Concept Driven Multilabel Image Annotation and Label Ranking
HIER: Metric Learning Beyond Class labels via Hierarchical Regularization
Hierarchical CRF with product label spaces for parts-based models
Hierarchical feature distillation model via dual-stage projections and graph embedding label propagation for emotion recognition
Hierarchical Grocery Store Image Dataset With Visual and Semantic labels, A
Hierarchical Intra-Modal Correlation Learning for label-Free 3D Semantic Segmentation
Hierarchical multi-granular multi-label contrastive learning
Hierarchical Multi-label Classification using Fully Associative Ensemble Learning
Hierarchical Multi-label Object Detection Framework for Remote Sensing Images
Hierarchical Noise-Tolerant Meta-Learning With Noisy labels
Hierarchical prescription pattern analysis with symptom labels
HierlabelNet: A Two-Stage LLMs Framework with Data Augmentation and Label Selection for Geographic Text Classification
HierMatch: Leveraging label Hierarchies for Improving Semi-Supervised Learning
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
High-Order Feature Learning for Multi-Atlas Based label Fusion: Application to Brain Segmentation With MRI
High-performance mitosis detection using single-level feature and hybrid label assignment
High-Resolution Daytime Translation Without Domain labels
Histopathology Image Classification With Noisy labels via The Ranking Margins
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and label Ontology
Holistic label Correction for Noisy Multi-Label Classification
Holistic label Correction for Noisy Multi-Label Classification
Horse with No labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior, A
How Do label Errors Affect Thin Crack Detection by DNNs
How Does Heterogeneous label Noise Impact Generalization in Neural Nets?
How Much Noise is There in labels Generated by Humans? A Method to Validate Automatically Generated Bounding Boxes
How to Query an Oracle? Efficient Strategies to label Data
Hub labels on the database for large-scale graphs with the COLD framework
Human Activity Recognition by Class label LLE
Human Facial Age Estimation by Cost-Sensitive label Ranking and Trace Norm Regularization
Hybrid BeeHive Algorithm: Proposed Ensemble Model for Multiclass Multi-label Ophthalmological Eye Diseases Prediction
Hybrid Discrete Artificial Bee Colony Algorithm Based on label Similarity for Solving Point-Feature Label Placement Problem, A
Hybrid Discrete Artificial Bee Colony Algorithm Based on label Similarity for Solving Point-Feature Label Placement Problem, A
Hybrid forests for left ventricle segmentation using only the first slice label
Hybrid of Differential Evolution and Genetic Algorithm for the Multiple Geographical Feature label Placement Problem, A
Hybrid Variability Aware Network (HVANet): A Self-Supervised Deep Framework for label-Free SAR Image Change Detection
HybridVPS: Hybrid-Supervised Video Polyp Segmentation Under Low-Cost labels
Hypergraph clustering based multi-label cross-modal retrieval
Hypergraph regularized discriminative non-negative Tucker decomposition with label information for data clustering
Hyperspectral Classification With Noisy label Detection via Superpixel-to-Pixel Weighting Distance
Hyperspectral Image Classification in the Presence of Noisy labels
Hyperspectral Images Weakly Supervised Classification with Noisy labels
Hyperspherical Classification with Dynamic label-to-Prototype Assignment
Hyperspherical Learning in Multi-label Classification
I don't know the label: Active learning with blind knowledge
IAC-ReCAM: Two-dimensional attention modulation and category label guidance for weakly supervised semantic segmentation
IAIR-CarPed: A psychophysically annotated dataset with fine-grained and layered semantic labels for object recognition
ICLR: Instance Credibility-Based label Refinement for label noisy person re-identification
ICLR: Instance Credibility-Based label Refinement for label noisy person re-identification
Identification of personality traits from handwritten text documents using multi-label classification models
Identifying label Errors in Object Detection Datasets by Loss Inspection
Identifying noisy labels with a transductive semi-supervised leave-one-out filter
Identifying Plausible labels from Noisy Training Data for a Land Use and Land Cover Classification Application in Amazonia Legal
IGCN: A Provably Informative GCN Embedding for Semi-Supervised Learning With Extremely Limited labels
IGNORE: Information Gap-based False Negative Loss Rejection for Single Positive Multi-label Learning
ILD: Image-Level labels Driven Active Learning Object Detection
Illumination Robust Color Naming via label Propagation
ILP Model for Multi-label MRFs With Connectivity Constraints, An
Image Annotation by Learning label-Specific Distance Metrics
Image Annotation by Propagating labels from Semantic Neighbourhoods
Image annotation using bi-relational graph of images and semantic labels
Image annotation using multi-label correlated Green's function
Image annotation via learning the image-label interrelations
Image classifier learning from noisy labels via generalized graph smoothness priors
Image Inpainting Using Structure-Guided Priority Belief Propagation and label Transformations
Image Interpolation via Graph-Based Bayesian label Propagation
Image labels Are All You Need for Coarse Seagrass Segmentation
Image super-segmentation: Segmentation with multiple labels from shuffled observations
Image-free multi-label image recognition via LLM-powered hierarchical prompt tuning
Imbalance-Aware Adaptive Margin Loss for Fair Multi-label Face Attribute Recognition
Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost
Imbalanced Medical Image Segmentation With Pixel-Dependent Noisy labels
Impact label Noise and Choice of Threshold has on Cross-Entropy and Soft-Dice in Image Segmentation, The
Impact of Annotation Modality on label Quality and Model Performance in the Automatic Assessment of Laughter In-the-Wild
Implicit and Explicit Concept Relations in Deep Neural Networks for Multi-label Video/Image Annotation
Importance Weight Estimation and Generalization in Domain Adaptation Under label Shift
Importance-weighted label prediction for active learning with noisy annotations
Improve Unsupervised Pretraining for Few-label Transfer
Improved ANN-Based label Placement Method Considering Surrounding Features for Schematic Metro Maps, An
Improved Backward Smoothing Method Based on label Iterative Processing, An
Improved cross entropy loss for noisy labels in vision leaf disease classification
Improved Deep Hashing With Soft Pairwise Similarity for Multi-label Image Retrieval
Improved Image Annotation and labelling through Multi-Label Boosting
improved label fusion approach with sparse patch-based representation for MRI brain image segmentation, An
improved noise loss correction algorithm for learning from noisy labels, An
Improved weak labels using contextual cues for person identification in videos
Improvement of continuous emotion recognition of temporal convolutional networks with incomplete labels
Improving Building Extraction by Using Knowledge Distillation to Reduce the Impact of label Noise
Improving Correspondence Matching Using label Consistency Constraints
Improving Emotion Recognition From Ambiguous Speech via Spatio-Temporal Spectrum Analysis and Real-Time Soft-label Correction
Improving Image Classification Performance with Automatically Hierarchical label Clustering
Improving kNN multi-label classification in Prototype Selection scenarios using class proposals
Improving label fusion in multi-atlas based segmentation by locally combining atlas selection and performance estimation
Improving label placement quality by considering basemap detail with a raster-based approach
Improving LiDAR classification accuracy by contextual label smoothing in post-processing
Improving Medical Images Classification With label Noise Using Dual-Uncertainty Estimation
Improving multi-label contrastive learning by leveraging label distribution
Improving multi-label contrastive learning by leveraging label distribution
Improving Multi-label Facial Expression Recognition With Consistent and Distinct Attentions
Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations
Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations
Improving Object Detection by label Assignment Distillation
Improving Object Detection to Fisheye Cameras with Open-Vocabulary Pseudo-label Approach
Improving Pairwise Ranking for Multi-label Image Classification
Improving pseudo labels quality with infomap and label correction for self-supervised speaker verification
Improving pseudo labels quality with infomap and label correction for self-supervised speaker verification
Improving pseudo labels with intra-class similarity for unsupervised domain adaptation
Improving Pseudo-labels Selection Using Domain Priors for Semi-Supervised Detection in Capsule Endoscopy
Improving Robustness of Random Forest Under label Noise
Improving Segmentation of the Inferior Alveolar Nerve through Deep label Propagation
Improving Semantic Segmentation via Video Propagation and label Relaxation
Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo labels
In Defense of 3D-label Stereo
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and label Distillation
Inaccurate label Distribution Learning
Incomplete label Multiple Instance Multiple Label Learning
Incomplete label Multiple Instance Multiple Label Learning
Incomplete Multi-View Learning Under label Shift
Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding
Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding
Incremental Learning in Semantic Segmentation from Image labels
Indoor Crowd Counting by Mixture of Gaussians label Distribution Learning
Inference Algorithm for Multi-label MRF-MAP Problems with Clique Size 100, An
Infighting in the Dark: Multi-label Backdoor Attack in Federated Learning
Information Extraction from Heterogeneous Documents Without Ground Truth labels Using Synthetic Label Generation and Knowledge Distillation
Information Extraction from Heterogeneous Documents Without Ground Truth labels Using Synthetic Label Generation and Knowledge Distillation
Information Maximizing Adaptation Network With label Distribution Priors for Unsupervised Domain Adaptation
Information Needed to label a Scene
Information Theoretic Feature Selection in Multi-label Data through Composite Likelihood
Inner and Inter label Propagation: Salient Object Detection in the Wild
innovative multi-label learning based algorithm for city data computing, An
Instance-Aware Deep Graph Learning for Multi-label Classification
Instance-Aware Hashing for Multi-label Image Retrieval
Instance-Dependent label Distribution Estimation for Learning with Label Noise
Instance-Dependent label Distribution Estimation for Learning with Label Noise
Instance-dependent label noise learning via separating style from content
Instance-Dependent label-Noise Learning with Manifold-Regularized Transition Matrix Estimation
Instance-Dependent Noisy label Learning via Graphical Modelling
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
Integrating distance metric learning into label propagation model for multi-label image annotation
Integrating distance metric learning into label propagation model for multi-label image annotation
Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation
Integrating Multi-label Contrastive Learning With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval
Inter-Domain Adaptation label for Data Augmentation in Vehicle Re-Identification
Interaction Compass: Multi-label Zero-Shot Learning of Human-Object Interactions via Spatial Relations
Interactive Multi-label CNN Learning With Partial Labels
Interactive Multi-label CNN Learning With Partial Labels
Interactive Multi-label Segmentation
Interactive Multi-label Segmentation of RGB-D Images
Interactive Segmentation with Super-labels
Internet label Information
Interpretable deep learning enables reliable and label-efficient fluorescence imaging
Interpretable multidisease diagnosis and label noise detection based on a matching network and self-paced learning
Interval prediction for graded multi-label classification
Intra-modal consistency for image-text retrieval through soft-label distillation
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images
Inverse random under sampling for class imbalance problem and its application to multi-label classification
Investigating Self-Supervised Methods for label-Efficient Learning
Investigating Self-Supervised Methods for label-Efficient Learning
Invisible Intruders: label-Consistent Backdoor Attack Using Re-Parameterized Noise Trigger
IRNet: Iterative Refinement Network for Noisy Partial label Learning
Irregular MRF Region label Model for Multichannel Image Segmentation, An
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection
Isometric Log-Ratio Transform for Probabilistic Multi-label Anatomical Shape Representation, The
Iterated Second-Order label Sensitive Pooling for 3D Human Pose Estimation
Iterative Cross Learning on Noisy labels
Iterative label cleaning for transductive and semi-supervised few-shot learning
Iterative label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning
Iterative Learning with Open-set Noisy labels
Iteratively Optimized Patch label Inference Network for Automatic Pavement Distress Detection, An
Iteratively reweighted graph cut for multi-label MRFs with non-convex priors
IUR-Net: A Multi-Stage Framework for label Refinement Tasks in Noisy Remote Sensing Samples
JaccHash: multi-label medical image retrieval using Hamming distance and Jaccard similarity
JMLNet: Joint Multi-label Learning Network for Weakly Supervised Semantic Segmentation in Aerial Images
Jo-SNC: Combating Noisy labels Through Fostering Self- and Neighbor-Consistency
Jo-SRC: A Contrastive Approach for Combating Noisy labels
Joint Acne Image Grading and Counting via label Distribution Learning
Joint and Progressive Learning from High-Dimensional Data for Multi-label Classification
Joint Disentanglement of labels and Their Features with VAE
Joint face detection and Facial Landmark Localization using graph match and pseudo label
Joint Feature Adaptation and Graph Adaptive label Propagation for Cross-Subject Emotion Recognition From EEG Signals
Joint Head Pose/Soft label Estimation for Human Recognition In-The-Wild
Joint Input and Output Space Learning for Multi-label Image Classification
Joint Intermodal and Intramodal label Transfers for Extremely Rare or Unseen Classes
Joint label Space for Generalized Zero-Shot Classification, A
Joint label-interaction learning for human action recognition
Joint Learning of labels and Distance Metric
Joint Margin, Cograph, and label Constraints for Semisupervised Scene Parsing From Point Clouds
Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling
Joint multi-label learning and feature extraction for temporal link prediction
Joint multi-label multi-instance learning for image classification
Joint Multilabel Classification With Community-Aware Label Graph Learning
Joint Negative and Positive Learning for Noisy labels
Joint negative-positive-learning based sample reweighting for hyperspectral image classification with label noise
Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation
Joint Optimization Framework for Learning with Noisy labels
Joint optimization of scoring and thresholding models for online multi-label classification
Joint Patch and Multi-label Learning for Facial Action Unit and Holistic Expression Recognition
Joint patch and multi-label learning for facial action unit detection
Joint Prediction of Activity labels and Starting Times in Untrimmed Videos
Joint recognition of basic and compound facial expressions by mining latent soft labels
Joint Registration and Segmentation of Histological Volume Data by Diffusion-Based label Adaption
Joint utilization of positive and negative pseudo-labels in semi-supervised facial expression recognition
Joint-Modal label Denoising for Weakly-Supervised Audio-Visual Video Parsing
k-labelsets for Multimedia Classification with Global and Local Label Correlation
K-means Clustering Based Feature Consistency Alignment for label-free Model Evaluation
Kernel Spectral Correspondence Matching Using label Consistency Constraints
Kernel-Based Learning From Both Qualitative and Quantitative labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging
Kernelized Supervised Laplacian Eigenmap for Visualization and Classification of Multi-label Data
Knockoffs-SPR: Clean Sample Selection in Learning With Noisy labels
Knowing What to label for Few Shot Microscopy Image Cell Segmentation
Knowledge Distillation for Action Anticipation via label Smoothing
Knowledge Restore and Transfer for Multi-label Class-Incremental Learning
Knowledge-Distillation-Based label Smoothing for Fine-Grained Open-Set Vehicle Recognition
Knowledge-Guided Multi-label Few-Shot Learning for General Image Recognition
Knowledge-guided multi-modality transformer for multi-label genetic mutation prediction
L2B: Learning to Bootstrap Robust Models for Combating label Noise
LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under label Noise
LA3: Efficient label-Aware AutoAugment
label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification
label and orthogonality regularized non-negative matrix factorization for image classification
label Augmentation as Inter-class Data Augmentation for Conditional Image Synthesis with Imbalanced Data
label Calibration in Source Free Domain Adaptation
label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
label compression method for online multi-label classification, A
label compression method for online multi-label classification, A
label Consistent Fisher Vectors for Supervised Feature Aggregation
label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition
label consistent matrix factorization based hashing for cross-modal retrieval
label Consistent Matrix Factorization Hashing for Large-Scale Cross-Modal Similarity Search
label Consistent Multiclass Discriminative Dictionary Learning for MRI Segmentation
label Consistent Quadratic Surrogate model for visual saliency prediction
label consistent recursive least squares dictionary learning for image classification
label Convergence: Defining an Upper Performance Bound in Object Recognition Through Contradictory Annotations
label Correlation Propagation for Semi-supervised Multi-label Learning
label Correlation Propagation for Semi-supervised Multi-label Learning
label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias
label Decoupling Framework for Salient Object Detection
label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces
label Denoising with Large Ensembles of Heterogeneous Neural Networks
label Detection and Recognition for USPTO Images Using Convolutional K-Means Feature Quantization and Ada-Boost
label diagnosis through self tuning for web image search
label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition
label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition
label distribution manifold learning algorithm, A
label Distribution-Based Facial Attractiveness Computation by Deep Residual Learning
label Efficient Lifelong Multi-View Broiler Detection
label Efficient Regularization and Propagation for Graph Node Classification
label Efficient Semi-Supervised Learning via Graph Filtering
label embedding for text recognition
label Embedding: A Frugal Baseline for Text Recognition
label enhancement by manifold fusion of feature and label spaces
label enhancement by manifold fusion of feature and label spaces
label enhancement via manifold approximation and projection with graph convolutional network
label Error Process for Discrete Relaxation, A
label Feature Co-Learning for Facial and EEG Emotion Recognition
label Field Fusion Bayesian Model and Its Penalized Maximum Rand Estimator for Image Segmentation, A
label Fusion for Multi-atlas Segmentation Based on Majority Voting
label Fusion in Atlas-Based Segmentation Using a Selective and Iterative Method for Performance Level Estimation (SIMPLE)
label fusion method based on sparse patch representation for the brain MRI image segmentation
label Geometry Aware Discriminator for Conditional Generative Adversarial Networks
label group diffusion for image and image pair segmentation
label Guided Discrete Hashing for Cross-Modal Retrieval
label Image Constrained Multiatlas Selection
label Incorporated Graph Neural Networks for Text Classification
label Independent Memory for Semi-Supervised Few-Shot Video Classification
label inference encoded with local and global patch priors
label Information Bottleneck for Label Enhancement
label Information Bottleneck for Label Enhancement
label Information Guided Graph Construction for Semi-Supervised Learning
label Inspection using the Hough Transform on Transputer Networks
label localization by appearance guided graph inferring
label Matching Semi-Supervised Object Detection
label Noise Cleansing with Sparse Graph for Hyperspectral Image Classification
label noise tolerant random forest for the classification of remote sensing data based on outdated maps for training, A
label or Message: A Large-Scale Experimental Survey of Texts and Objects Co-Occurrence
label Prediction Framework For Semi-Supervised Cross-Modal Retrieval
label projection online hashing for balanced similarity
label propagation approach for predicting missing biographic labels in face-based biometric records
label propagation approach for predicting missing biographic labels in face-based biometric records
label propagation based saliency detection via graph design
label propagation based supervised locality projection analysis for plant leaf classification
label Propagation for Deep Semi-Supervised Learning
label Propagation for Large Scale 3D Indoor Scenes
label Propagation for Zero-shot Classification with Vision-Language Models
label Propagation from camera image to point cloud BEV
label Propagation from ImageNet to 3D Point Clouds
label Propagation Guided by Hierarchy of Partitions for Superpixel Computation
label propagation hashing based on p-stable distribution and coordinate descent
label propagation in complex video sequences using semi-supervised learning
label propagation in video sequences
label propagation on data with multiple representations through multi-graph locality preserving projections
label Propagation on Facial Images Using Similarity and Dissimilarity Labelling Constraints
label propagation through minimax paths for scalable semi-supervised learning
label Propagation with Augmented Anchors: A Simple Semi-supervised Learning Baseline for Unsupervised Domain Adaptation
label Propagation with Ensemble of Pairwise Geometric Relations: Towards Robust Large-Scale Retrieval of Object Instances
label refinement for change detection in remote sensing
label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification
label Self-Adaption Hashing for Image Retrieval
label Semantic Knowledge Distillation for Unbiased Scene Graph Generation
label set perturbation for MRF based neuroimaging segmentation
label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts
label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts
label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach
label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret
label Smoothing Auxiliary Classifier Generative Adversarial Network with Triplet Loss for SAR Ship Classification
label Space-Induced Pseudo Label Refinement for Multi-Source Black-Box Domain Adaptation
label Space-Induced Pseudo Label Refinement for Multi-Source Black-Box Domain Adaptation
label Space: A Multi-object Shape Representation
label Transfer by Measuring Compactness
label transfer via sparse representation
label transition and selection pruning and automatic decoding parameter optimization for time-synchronous Viterbi decoding
label, Verify, Correct: A Simple Few Shot Object Detection Method
label-Affinity Self-Adaptive Central Similarity Hashing for Image Retrieval
label-anticipated Event Disentanglement for Audio-visual Video Parsing
label-Augmented Dataset Distillation
label-Aware Calibration and Relation-Preserving in Visual Intention Understanding
label-Based Automatic Alignment of Video with Narrative Sentences
label-based Multiple Object Ensemble Tracking with Randomized Frame Dropping
label-Based Trajectory Clustering in Complex Road Networks
label-Denoising Auto-encoder for Classification with Inaccurate Supervision Information
label-driven Reconstruction for Domain Adaptation in Semantic Segmentation
label-Efficient Deep Color Deconvolution of Brightfield Multiplex IHC Images
label-efficient Deep Learning-based Semantic Segmentation of Building Point Clouds At Lod3 Level
label-Efficient Fine-Tuning for Remote Sensing Imagery Segmentation with Diffusion Models
label-Efficient Group Robustness via Out-of-Distribution Concept Curation
label-efficient Learning on Point Clouds Using Approximate Convex Decompositions
label-Efficient Online Continual Object Detection in Streaming Video
label-efficient outdoor 3D object detection via single click annotation from LiDAR point cloud
label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
label-Efficient Video Object Segmentation With Motion Clues
label-Embedding for Attribute-Based Classification
label-Embedding for Image Classification
label-Free and Non-Monotonic Metric for Evaluating Denoising in Event Cameras, A
label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling
label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events
label-Free Liver Tumor Segmentation
label-free mangrove mapping from temporally consistent PlanetScope imagery with interpretable deep unfolding network
label-free Neural Semantic Image Synthesis
label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications
label-Free Segmentation of COVID-19 Lesions in Lung CT
label-Free Synthetic Pretraining of Object Detectors
label-Guided Auxiliary Training Improves 3D Object Detector
label-Guided Dynamic Spatial-Temporal Fusion for Video-Based Facial Expression Recognition
label-Guided Generative Adversarial Network for Realistic Image Synthesis
label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds
label-informed knowledge integration: Advancing visual prompt for VLMs adaptation
label-noise learning via uncertainty-aware neighborhood sample selection
label-Noise Learning with Intrinsically Long-Tailed Data
label-noise reduction with support vector machines
label-noise robust active learning sample collection method for multi-temporal urban land-cover classification and change analysis, A
label-Noise Robust Generative Adversarial Networks
label-Only Model Inversion Attacks via Boundary Repulsion
label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
label-Related/Unrelated Topic Switching Model: A Partially Labeled Topic Model Handling Infinite Label-Unrelated Topics
label-Related/Unrelated Topic Switching Model: A Partially Labeled Topic Model Handling Infinite Label-Unrelated Topics
label-Semantic-Based Prompt Tuning for Vision Transformer Adaptation in Medical Image Analysis
label-similarity Curriculum Learning
label-specific multi-label feature selection algorithm based on the Pareto dominance concept, A
label-specific multi-label feature selection algorithm based on the Pareto dominance concept, A
labeldistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3d Object Detection
labeling Model Based on the Region of Movability for Point-Feature Label Placement, A
labelling strategies for hierarchical multi-label classification techniques
labelMAKER: Automatic Semantic Label Generation from RGB-D Trajectories
labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection
labelset anchored subspace ensemble (LASE) for multi-label annotation
LADI v2: Multi-label Dataset and Classifiers for Low-Altitude Disaster Imagery
LAM: Remote Sensing Image Captioning with label-Attention Mechanism
LAPT: label-driven Automated Prompt Tuning for OOD Detection with Vision-language Models
Large Loss Matters in Weakly Supervised Multi-label Classification
Large-Scale Facial Expression Recognition Using Dual-Domain Affect Fusion for Noisy labels
Large-Scale Land Cover Mapping Framework Based on Prior Product label Generation: A Case Study of Cambodia
Large-scale multi-label classification using unknown streaming images
Large-Scale Object Classification Using label Relation Graphs
Large-Scale Object Detection in the Wild From Imbalanced Multi-labels
Large-Scale Object Detection in the Wild With Imbalanced Data Distribution, and Multi-labels
Large-Scale Pre-training for Person Re-identification with Noisy labels
Large-Scale Video Classification with Feature Space Augmentation Coupled with Learned label Relations and Ensembling
LaSO: label-Set Operations Networks for Multi-Label Few-Shot Learning
LaSO: label-Set Operations Networks for Multi-Label Few-Shot Learning
Latent label mining for group activity recognition in basketball videos
Latent topic random fields: Learning using a taxonomy of labels
Latent Topic-aware Multi-label Classification
LaTeRF: label and Text Driven Object Radiance Fields
LAVA:label-efficient Visual Learning and Adaptation
LayoutVAE: Stochastic Scene Layout Generation From a label Set
LCBM: A Multi-View Probabilistic Model for Multi-label Classification
LCNME: label Correction Using Network Prediction Based on Memorization Effects for Cross-Modal Retrieval With Noisy Labels
LCNME: label Correction Using Network Prediction Based on Memorization Effects for Cross-Modal Retrieval With Noisy Labels
LE-UDA: label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation
Learn from All: Erasing Attention Consistency for Noisy label Facial Expression Recognition
Learnable Hierarchical label Embedding and Grouping for Visual Intention Understanding
Learning a Deep ConvNet for Multi-label Classification With Partial Labels
Learning a Deep ConvNet for Multi-label Classification With Partial Labels
Learning a discriminative dictionary for sparse coding via label consistent K-SVD
Learning a Discriminative Distance Metric With label Consistency for Scene Classification
Learning a distance metric from multi-instance multi-label data
Learning a Single Network for Robust Medical Image Segmentation With Noisy labels
Learning an event-oriented and discriminative dictionary based on an adaptive label-consistent K-SVD method for event detection in soccer videos
Learning Articulated Shape with Keypoint Pseudo-labels from Web Images
Learning Auto-Structured Regressor from Uncertain Nonnegative labels
Learning Bayesian network classifiers from label proportions
Learning Camouflaged Object Detection from Noisy Pseudo label
Learning common and label-specific features for multi-Label classification with correlation information
Learning common and label-specific features for multi-Label classification with correlation information
Learning correlation information for multi-label feature selection
Learning Cross-Modal Retrieval with Noisy labels
Learning Discriminative Dynamics with label Corruption for Noisy Label Detection
Learning Discriminative Dynamics with label Corruption for Noisy Label Detection
Learning Discriminative Features via label Consistent Neural Network
Learning discriminative representations for multi-label image recognition
Learning Disentanglement with Decoupled labels for Vision-Language Navigation
Learning Dual Low-Rank Representation for Multi-label Micro-Video Classification
Learning embedded label-specific features for partial multi-label learning
Learning embedded label-specific features for partial multi-label learning
Learning facial action units with spatiotemporal cues and multi-label sampling
Learning Fair Classifiers with Partially Annotated Group labels
Learning Feature Representation and Partial Correlation for Multimodal Multi-label Data
Learning Fine-Grained Segmentation of 3D Shapes without Part labels
Learning From Ambiguous labels for Lung Nodule Malignancy Prediction
Learning from Better Supervision: Self-distillation for Learning with Noisy labels
Learning from feature and label spaces' bias for uncertainty-adaptive facial emotion recognition
Learning from majority label: A novel problem in multi-class multiple-instance learning
Learning from Multiple Annotator Noisy labels via Sample-Wise Label Fusion
Learning from Multiple Annotator Noisy labels via Sample-Wise Label Fusion
Learning From Multiple Datasets With Heterogeneous and Partial labels for Universal Lesion Detection in CT
Learning From Noisy labels by Regularized Estimation of Annotator Confusion
Learning from Noisy labels via Discrepant Collaborative Training
Learning from Noisy labels via Meta Credible Label Elicitation
Learning from Noisy labels via Meta Credible Label Elicitation
Learning from Noisy labels with Coarse-to-fine Sample Credibility Modeling
Learning from Noisy labels with Decoupled Meta Label Purifier
Learning from Noisy labels with Decoupled Meta Label Purifier
Learning from Noisy labels with Distillation
Learning from Noisy Pseudo labels for Semi-Supervised Temporal Action Localization
Learning from open-set noisy labels based on multi-prototype modeling
Learning From Pixel-Level label Noise: A New Perspective for Semi-Supervised Semantic Segmentation
Learning from Pixel-Level Noisy label: A New Perspective for Light Field Saliency Detection
Learning from Weak and Noisy labels for Semantic Segmentation
Learning Graph Convolutional Networks for Multi-label Recognition and Applications
Learning Graph Structure for Multi-label Image Classification Via Clique Generation
Learning Graphs for Knowledge Transfer with Limited labels
Learning Group Activities from Skeletons without Individual Action labels
Learning hyperspectral noisy label with global and local hypergraph laplacian energy
Learning implicit labeling-importance and label correlation for multi-label feature selection with streaming labels
Learning implicit labeling-importance and label correlation for multi-label feature selection with streaming labels
Learning implicit labeling-importance and label correlation for multi-label feature selection with streaming labels
Learning in Imperfect Environment: Multi-label Classification with Long-Tailed Distribution and Partial Labels
Learning in Imperfect Environment: Multi-label Classification with Long-Tailed Distribution and Partial Labels
Learning kernel logistic regression in the presence of class label noise
Learning kernels from labels with ideal regularization
Learning label correlations for multi-label image recognition with graph networks
Learning label correlations for multi-label image recognition with graph networks
Learning label Perturbations
Learning label Semantics for Weakly Supervised Group Activity Recognition
Learning label-specific features for multi-dimensional classification
Learning Latent Stable Patterns for Image Understanding With Weak and Noisy labels
Learning Monocular 3D Vehicle Detection Without 3D Bounding Box labels
Learning multi-label scene classification
Learning Noise-aware Encoder-decoder from Noisy labels by Alternating Back-propagation for Saliency Detection
Learning Object Detectors With Semi-Annotated Weak labels
Learning object-specific DAGs for multi-label material recognition
Learning on sample-efficient and label-efficient multi-view cardiac data with graph transformer
Learning Pseudo labels for Semi-and-Weakly Supervised Semantic Segmentation
Learning Quality labels for Robust Image Classification
Learning Random-Walk label Propagation for Weakly-Supervised Semantic Segmentation
Learning Salient Feature for Salient Object Detection Without labels
Learning semantic dependencies with channel correlation for multi-label classification
Learning Semantic Segmentation from Multiple Datasets with label Shifts
Learning Semantic-Specific Graph Representation for Multi-label Image Recognition
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic label Transfer
Learning Spatial and Temporal Cues for Multi-label Facial Action Unit Detection
Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification
Learning Structured Inference Neural Networks with label Relations
Learning Student Network Under Universal label Noise
Learning subjective time-series data via Utopia label Distribution Approximation
Learning Temporal Action Proposals With Fewer labels
Learning to Aggregate and Refine Noisy labels for Visual Sentiment Analysis
Learning to Classify Weather Conditions from Single Images Without labels
Learning to count with regression forest and structured labels
Learning to Detect Instance-Level Salient Objects Using Complementary Image labels
Learning to Detect Mobile Objects from LiDAR Scans Without labels
Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual labels
Learning to Detect Semantic Boundaries with Image-Level Class labels
Learning to Discover Multi-Class Attentional Regions for Multi-label Image Recognition
Learning to predict crop type from heterogeneous sparse labels using meta-learning
Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction
Learning to rank images using semantic and aesthetic labels
Learning to Recognize Human Activities Using Soft labels
Learning to rectify for robust learning with noisy labels
Learning Under Noisy labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems
Learning VAE with Categorical labels for Generating Conditional Handwritten Characters
Learning Video Features for Multi-label Classification
Learning visual question answering on controlled semantic noisy labels
Learning Visually Consistent label Embeddings for Zero-Shot Learning
Learning with Ambiguous label Distribution for Apparent Age Estimation
Learning with Biased Complementary labels
Learning with incomplete labels of multisource datasets for ECG classification
Learning With Instance-Dependent Noisy labels By Anchor Hallucination And Hard Sample Label Correction
Learning With Instance-Dependent Noisy labels By Anchor Hallucination And Hard Sample Label Correction
Learning with label Noise for Image Retrieval by Selecting Interactions
Learning with Latent label Hierarchy from Incomplete Multi-Label Data
Learning with Latent label Hierarchy from Incomplete Multi-Label Data
Learning with Neighbor Consistency for Noisy labels
Learning with Noisy Class labels for Instance Segmentation
Learning with Noisy labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
Learning with Noisy labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
Learning With Noisy labels by Semantic and Feature Space Collaboration
Learning with Noisy labels for Robust Point Cloud Segmentation
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking
Learning with Noisy labels via Sparse Regularization
Learning with privileged information for multi-label classification
Learning With Rater-Expanded label Space to Improve Speech Emotion Recognition
Learning with Structural labels for Learning with Noisy Labels
Learning with Structural labels for Learning with Noisy Labels
Learning with Twin Noisy labels for Visible-Infrared Person Re-Identification
Learning without Exact Guidance: Updating Large-Scale High-Resolution Land Cover Maps from Low-Resolution Historical labels
Learning-Based Multi-label Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy
LEED: label-free Expression Editing via Disentanglement
LEMaRT: label-Efficient Masked Region Transform for Image Harmonization
LEMMS: label Estimation of Multi-feature Movie Segments
LEOD: label-Efficient Object Detection for Event Cameras
Less is More: Sample Selection and label Conditioning Improve Skin Lesion Segmentation
LESS: label-Efficient Semantic Segmentation for LiDAR Point Clouds
Letsmap: Unsupervised Representation Learning for label-efficient Semantic BEV Mapping
Leveraging category-level labels for instance-level image retrieval
Leveraging Fixed and Dynamic Pseudo-labels in Cross-Supervision Framework for Semi-Supervised Medical Image Segmentation
Leveraging Geometric Structure for label-Efficient Semi-Supervised Scene Segmentation
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy labels
Leveraging Weakly Annotated Data for Fashion Image Retrieval and label Prediction
LG-GAN: label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks
LHONE: label Homophily Oriented Network Embedding
Lift: Multi-label Learning with Label-Specific Features
Lift: Multi-label Learning with Label-Specific Features
Lightweight Multi-label Classification Method for Urban Green Space in High-Resolution Remote Sensing Imagery, A
Line-based Multi-label Energy Optimization for fisheye image rectification and calibration
Linear Feature Source Prediction and Recombination Network for Noisy label Learning
Little Truth Injection But a Big Reward: label Aggregation With Graph Neural Networks, A
LMVQ: label-Free Metric-Learning for General AI-Generated Video Quality Assessment
Lnl+k: Enhancing Learning with Noisy labels Through Noise Source Knowledge Integration
LNPL-MIL: Learning from Noisy Pseudo labels for Promoting Multiple Instance Learning in Whole Slide Image
Local label Descriptor for Example Based Semantic Image Labeling
Local label Probability Propagation for Hyperspectral Image Classification
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited labels
Local Rademacher Complexity for Multi-label Learning
Locality in multi-label classification problems
LogicMix: Sample mixing data augmentation for multi-label image classification with partial labels
LogicMix: Sample mixing data augmentation for multi-label image classification with partial labels
Logistic Boosting Regression for label Distribution Learning
Logistic label propagation
LOL: Learning To Optimize Loss Switching Under label Noise
Long-Tailed Multi-label Visual Recognition by Collaborative Training on Uniform and Re-balanced Samplings
LongReMix: Robust learning with high confidence samples in a noisy label environment
Low Rank Multi-label Classification with Missing Labels
Low Rank Multi-label Classification with Missing Labels
Low-budget label query through domain alignment enforcement
Low-Confidence Pseudo-label Decoupling Exploration for Source Free Object Detection
Low-rank learning for feature selection in multi-label classification
Low-Rank Regularized Deep Collaborative Matrix Factorization for Micro-Video Multi-label Classification
LPOSS: label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation
LR-SVM+: Learning Using Privileged Information with Noisy labels
LT-Net: label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation
LT-ViT: A Vision Transformer for Multi-label Chest X-Ray Classification
LVP-CLIP: Revisiting CLIP for Continual Learning with label Vector Pool
L_1 Graph Based Sparse Model for label De-noising
L_2,1-norm minimization based negative label relaxation linear regression for feature selection
M-Tuning: Prompt Tuning With Mitigated label Bias in Open-Set Scenarios
M3LH: Multi-modal Multi-label Hashing for Large Scale Data Search
MAGELLAN: Map Acquisition of Geographic labels by Legend Analysis
Magnification of label Maps With a Topology-Preserving Level-Set Method
Make a Strong Teacher with label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation
Making Deep Neural Networks Robust to label Noise: A Loss Correction Approach
Making Every label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
Managing Imbalanced Data Sets in Multi-label Problems: A Case Study with the SMOTE Algorithm
Manifold Adaptive label Propagation for Face Clustering
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe label Noise
Manifold Guided label Transfer for Deep Domain Adaptation
Manifold learning with structured subspace for multi-label feature selection
Manifold-based constraint Laplacian score for multi-label feature selection
Manual-label Free 3D Detection via An Open-Source Simulator
MAPLE: Combination of multiple angles of view and enhanced pseudo-label generation for unsupervised person re-identification
Mapping Degeneration Meets label Evolution: Learning Infrared Small Target Detection with Single Point Supervision
Markov Random Field based image inpainting with context-aware label selection
Mask-Aware Pseudo label Denoising for Unsupervised Vehicle Re-Identification
Mask-CDKD: A source-free and label-free cross-domain knowledge distillation framework from SAM for satellite onboard VHR land-cover mapping
Masked Image Modeling Auxiliary Pseudo-label Propagation with a Clustering Central Rectification Strategy for Cross-Scene Classification
Masked label Learning for Optical Flow Regression
Masked Siamese Networks for label-Efficient Learning
Matrix completion for resolving label ambiguity
Matrix Completion for Weakly-Supervised Multi-label Image Classification
Max-margin embedding for multi-label learning
mDALU: Multi-Source Domain Adaptation and label Unification with Partial Datasets
Memory Efficient Max Flow for Multi-label Submodular MRFs
MERLIN-Seg: Self-supervised despeckling for label-efficient semantic segmentation
MES-P: An Emotional Tonal Speech Dataset in Mandarin with Distal and Proximal labels
Meta Pseudo labels
Meta Soft label Generation for Noisy Labels
Meta Soft label Generation for Noisy Labels
Meta-Learning for Multi-label Few-Shot Classification
Metaat: Active Testing for label-efficient Evaluation of Dense Recognition Tasks
MetaKernel: Learning Variational Random Features With Limited labels
MetalabelNet: Learning to Generate Soft-Labels From Noisy-Labels
MetalabelNet: Learning to Generate Soft-Labels From Noisy-Labels
Metric learning-based kernel transformer with triplets and label constraints for feature fusion
MFSJMI: Multi-label feature selection considering join mutual information and interaction weight
MIDAS: Mixing Ambiguous Data with Soft labels for Dynamic Facial Expression Recognition
MIML-FCN+: Multi-Instance Multi-label Learning via Fully Convolutional Networks with Privileged Information
Mind the label Shift of Augmentation-based Graph OOD Generalization
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited labels
Minimizing Supervision in Multi-label Categorization
Minimum Spanning Tree Problem with label Selection
Mining Larger Class Activation Map with Common Attribute labels
Mining on Manifolds: Metric Learning Without labels
Mining Self-similarity: label Super-resolution with Epitomic Representations
Mining Semantic Information With Dual Relation Graph Network for Multi-label Image Classification
Mining the User's Personality With an Attention-Based label Prompt Method
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited labels
Missing Link: Finding label Relations Across Datasets, The
Mitigating label noise impact: A plug-and-play RECIST-based iterative label refinement teacher-student learning paradigm for medical image segmentation
Mitigating label noise impact: A plug-and-play RECIST-based iterative label refinement teacher-student learning paradigm for medical image segmentation
Mitigating label Noise in GANs via Enhanced Spectral Normalization
Mitigating label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization
MixBag: Bag-Level Data Augmentation for Learning from label Proportions
MixTeacher: Mining Promising labels with Mixed Scale Teacher for Semi-Supervised Object Detection
ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-label Zero-Shot Learning
ML-KNN: A lazy learning approach to multi-label learning
ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph
ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph
MLC-net: A sparse reconstruction network for TomoSAR imaging based on multi-label classification neural network
MLMamba: A Mamba-Based Efficient Network for Multi-label Remote Sensing Scene Classification
MLP: Motion label Prior for Temporal Sentence Localization in Untrimmed 3D Human Motions
MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding
MLTSVM: A novel twin support vector machine to multi-label learning
MMPosE: Movie-Induced Multi-label Positive Emotion Classification Through EEG Signals
Modality Converting Approach for Image Annotation to Overcome the Inconsistent labels in Training Data, A
Model Calibration in Dense Classification with Adaptive label Perturbation
Model Rectification With Simultaneous Incremental Feature and Partial label Set
Model Selection in Kernel Methods Based on a Spectral Analysis of label Information
Modeling global distribution for federated learning with label distribution skew
Modeling label Correlations with Latent Context for Multi-label Recognition
Modeling label Correlations with Latent Context for Multi-label Recognition
Modeling label dependence for multi-label classification using the Choquistic regression
Modeling label dependence for multi-label classification using the Choquistic regression
Modeling label Dependencies for Audio Tagging With Graph Convolutional Network
Modeling label dependencies in kernel learning for image annotation
Modeling Multi-label Action Dependencies for Temporal Action Localization
Modeling the label Distributions for Weakly-Supervised Semantic Segmentation
Modelling of buildings from aerial LiDAR point clouds using TINs and label maps
Monkey: Image Resolution and Text label are Important Things for Large Multi-Modal Models
Monocular Depth Estimation with Affinity, Vertical Pooling, and label Enhancement
More Correlations Better Performance: Fully Associative Networks for Multi-label Image Classification
MoRE: Multi-output residual embedding for multi-label classification
Morphology on label Images: Flat-Type Operators and Connections
Morphology-Based Border Noise Removal Method for Camera-Captured label Images, A
Morphset: Augmenting Categorical Emotion Datasets With Dimensional Affect labels Using Face Morphing
Motion Coherent Tracking Using Multi-label MRF Optimization
Motion Coherent Tracking with Multi-label MRF optimization
Motion Segmentation Using a K-Nearest-Neighbor-Based Fusion Procedure of Spatial and Temporal label Cues
Motion-Based Structure Separation for label-Free High-Speed 3-D Cardiac Microscopy
MOVES: Movable and moving LiDAR scene segmentation in label-free settings using static reconstruction
Moving object localisation using a multi-label fast marching algorithm
MPLA-Net: Multiple Pseudo label Aggregation Network for Weakly Supervised Video Salient Object Detection
MRF Optimization with Separable Convex Prior on Partially Ordered labels
MRP-Net: A Light Multiple Region Perception Neural Network for Multi-label AU Detection
MS2GAH: Multi-label semantic supervised graph attention hashing for robust cross-modal retrieval
MSFA: Multi-Stage Feature Aggregation Network for Multi-label Image Recognition
Mtadcs: Moving Trace and Feature Density-based Confidence Sample Selection Under label Noise
Multi label Image Classification using Adaptive Graph Convolutional Networks (ML-AGCN)
Multi source-free domain adaptation based on pseudo-label knowledge mining
Multi-Atlas Image Soft Segmentation via Computation of the Expected label Value
Multi-Atlas Segmentation with Joint label Fusion
Multi-atlas Segmentation with Learning-Based label Fusion
Multi-channel set polynomial based label regularized graph neural networks against extreme data scarcity
Multi-Class Guided GAN for Remote-Sensing Image Synthesis Based on Semantic labels
Multi-dimensional multi-label classification: Towards encompassing heterogeneous label spaces and multi-label annotations
Multi-dimensional multi-label classification: Towards encompassing heterogeneous label spaces and multi-label annotations
Multi-dimensional multi-label classification: Towards encompassing heterogeneous label spaces and multi-label annotations
Multi-domain semantic segmentation with overlapping labels *
Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
Multi-granularity Pseudo-label Collaboration for unsupervised person re-identification
Multi-Head Encoding for Extreme label Classification
Multi-Instance Multi-label Learning Combining Hierarchical Context and its Application to Image Annotation
Multi-Instance Multi-label Learning for Image Classification with Large Vocabularies
Multi-Instance Multi-label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images
Multi-instance multi-label learning of natural scene images: via sparse coding and multi-layer neural network
Multi-label Action Anticipation for Real-World Videos With Scene Understanding
Multi-label Action Unit Detection on Multiple Head Poses with Dynamic Region Learning
Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling
Multi-label Active Learning for Image Classification
Multi-label Active Learning with Label Correlation for Image Classification
Multi-label Active Learning with Label Correlation for Image Classification
Multi-label Activity Recognition using Activity-specific Features and Activity Correlations
Multi-label Adversarial Attack Based on Label Correlation
Multi-label Adversarial Attack Based on Label Correlation
Multi-label Adversarial Fine-Grained Cross-Modal Retrieval
Multi-label Aerial Image Classification Based on Image-Specific Concept Graphs
Multi-label affordance mapping from egocentric vision
Multi-label and Multimodal Classifier for Affective States Recognition in Virtual Rehabilitation
Multi-label annotation of music
Multi-label Attention Map Assisted Deep Feature Learning for Medical Image Classification
Multi-label Auroral Image Classification Based on CNN and Transformer
Multi-label automatic image annotation approach based on multiple improvement strategies
Multi-label borderline oversampling technique
Multi-label chest X-ray image classification via category-wise residual attention learning
Multi-label Chest X-Ray Image Classification via Semantic Similarity Graph Embedding
Multi-label Chest X-Ray Image Classification With Single Positive Labels
Multi-label Chest X-Ray Image Classification With Single Positive Labels
Multi-label Classification and Automatic Damage Detection of Masonry Heritage Building through CNN Analysis of Infrared Thermal Imaging
Multi-label classification and extracting predicted class hierarchies
multi-label classification approach for Facial Expression Recognition, A
Multi-label Classification Based on Low Rank Representation for Image Annotation
Multi-label Classification by Semi-Supervised Singular Value Decomposition
Multi-label Classification for Drill-core Hyperspectral Mineral Mapping
Multi-label Classification for Image Annotation via Sparse Similarity Voting
multi-label classification method based on transformer for deepfake detection, A
Multi-label Classification of Fundus Images With Graph Convolutional Network and Self-Supervised Learning
Multi-label classification of multi-modality skin lesion via hyper-connected convolutional neural network
Multi-label Classification of Panoramic Radiographic Images Using a Convolutional Neural Network
Multi-label Classification of Stem Cell Microscopy Images Using Deep Learning
Multi-label Classification Scheme Based on Local Regression for Retinal Vessel Segmentation
Multi-label Classification via Adaptive Resonance Theory-Based Clustering
Multi-label classification via label correlation and first order feature dependance in a data stream
Multi-label classification via label correlation and first order feature dependance in a data stream
Multi-label classification with a reject option
Multi-label classification with Bayesian network-based chain classifiers
Multi-label Classification With Label-Specific Feature Generation: A Wrapped Approach
Multi-label Classification With Label-Specific Feature Generation: A Wrapped Approach
Multi-label classification with meta-label-specific features
Multi-label classification with meta-label-specific features
Multi-label Classification with Partial Annotations using Class-aware Selective Loss
Multi-label Classification, Multilabel Classification
Multi-label Cluster Discrimination for Visual Representation Learning
Multi-label Compound Expression Recognition: C-EXPR Database and Network
Multi-label Conditional Generation From Pre-Trained Models
Multi-label Continual Learning for the Medical Domain: A Novel Benchmark
Multi-label Continual Learning Using Augmented Graph Convolutional Network
Multi-label Contrastive Focal Loss for Pedestrian Attribute Recognition
Multi-label contrastive hashing
Multi-label convolutional neural network based pedestrian attribute classification
Multi-label core vector machine with a zero label
Multi-label core vector machine with a zero label
Multi-label Cross-Modal Retrieval
Multi-label Deep Active Learning with Label Correlation
Multi-label Deep Active Learning with Label Correlation
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection
Multi-label Depth Estimation for Graph Cuts Stereo Problems
Multi-label Dictionary Learning for Image Annotation
Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization
Multi-label Emotion Detection via Emotion-Specified Feature Extraction and Emotion Correlation Learning
Multi-label Fashion Image Classification with Minimal Human Supervision
Multi-label feature selection by strongly relevant label gain and label mutual aid
Multi-label feature selection by strongly relevant label gain and label mutual aid
Multi-label feature selection by strongly relevant label gain and label mutual aid
Multi-label feature selection considering candidate space internal information
Multi-label feature selection considering label supplementation
Multi-label feature selection considering label supplementation
Multi-label feature selection using self-information in divergence-based fuzzy neighborhood rough sets
Multi-label feature selection via latent representation learning and dynamic graph constraints
Multi-label feature selection via manifold regularization and dependence maximization
Multi-label feature selection via robust flexible sparse regularization
Multi-label feature selection with missing features by tolerance implication granularity information and symmetric coupled discriminant weight
Multi-label feature selection with missing labels
Multi-label feature selection with missing labels
Multi-label feature selection with shared common mode
Multi-label Feature Transform for Image Classifications
multi-label front propagation approach for object segmentation, A
Multi-label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement
Multi-label Generic Cuts: Optimal Inference in Multi-label Multi-clique MRF-MAP Problems
Multi-label Generic Cuts: Optimal Inference in Multi-label Multi-clique MRF-MAP Problems
Multi-label Hashing for Dependency Relations Among Multiple Objectives
Multi-label image annotation via Maximum Consistency
Multi-label Image Categorization With Sparse Factor Representation
Multi-label image classification using adaptive graph convolutional networks: From a single domain to multiple domains
Multi-label Image Classification via Category Prototype Compositional Learning
Multi-label image classification with recurrently learning semantic dependencies
Multi-label Image Recognition by Recurrently Discovering Attentional Regions
Multi-label image recognition by using semantics consistency, object correlation, and multiple samples
Multi-label Image Recognition With Graph Convolutional Networks
Multi-label image recognition with two-stream dynamic graph convolution networks
Multi-label image segmentation via max-sum solver
Multi-label image segmentation via point-wise repetition
Multi-label Iterated Learning for Image Classification with Label Ambiguity
Multi-label Iterated Learning for Image Classification with Label Ambiguity
Multi-label Knowledge Distillation
Multi-label learning based deep transfer neural network for facial attribute classification
Multi-label learning based on instance correlation and feature redundancy
Multi-label learning based on iterative label propagation over graph
Multi-label learning based on iterative label propagation over graph
Multi-label Learning based Semi-Global Matching Forest
Multi-label learning based target detecting from multi-frame data
Multi-label learning by Image-to-Class distance for scene classification and image annotation
Multi-label learning for concept-oriented labels of product image data
Multi-label learning for concept-oriented labels of product image data
Multi-label Learning from Noisy Labels with Non-linear Feature Transformation
Multi-label Learning from Noisy Labels with Non-linear Feature Transformation
Multi-label Learning from Single Positive Labels
Multi-label Learning from Single Positive Labels
Multi-label learning in the independent label sub-spaces
Multi-label learning in the independent label sub-spaces
Multi-label Learning of Part Detectors for Heavily Occluded Pedestrian Detection
Multi-label learning of part detectors for occluded pedestrian detection
Multi-label learning under feature extraction budgets
Multi-label Learning Using Mathematical Programming
Multi-label learning vector quantization algorithm
Multi-label Learning With Fused Multimodal Bi-Relational Graph
Multi-label learning with globAl densiTy fusiOn Mapping features
Multi-label learning with incomplete class assignments
Multi-label Learning with Missing Labels
Multi-label Learning with Missing Labels
Multi-label learning with missing labels for image annotation and facial action unit recognition
Multi-label learning with missing labels for image annotation and facial action unit recognition
Multi-label Learning with Missing Labels Using Mixed Dependency Graphs
Multi-label Learning with Missing Labels Using Mixed Dependency Graphs
Multi-label Learning With Multiple Complementary Labels
Multi-label Learning With Multiple Complementary Labels
Multi-label Linear Discriminant Analysis
Multi-label Logo Classification Using Convolutional Neural Networks
Multi-label methods for prediction with sequential data
Multi-label Moves for MRFs with Truncated Convex Priors
Multi-label MRF Optimization via a Least Squares s-t Cut
Multi-label Multi-Task Deep Learning for Behavioral Coding
Multi-label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas
Multi-label out-of-distribution detection via exploiting sparsity and co-occurrence of labels
Multi-label out-of-distribution detection via exploiting sparsity and co-occurrence of labels
Multi-label Poster Classification into Genres Using Different Problem Transformation Methods
Multi-label propagation for coherent video segmentation and artistic stylization
Multi-label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation
Multi-label Radar Compound Jamming Signal Recognition Using Complex-Valued CNN with Jamming Class Representation Fusion
Multi-label Ranking from Positive and Unlabeled Data
Multi-label recognition in open driving scenarios based on bipartite-driven superimposed dynamic graph
Multi-label ReliefF and F-statistic feature selections for image annotation
Multi-label Remote Sensing Image Classification with Latent Semantic Dependencies
Multi-label Remote Sensing Image Land Cover Classification Based on a Multi-Dimensional Attention Mechanism
Multi-label Remote Sensing Image Scene Classification by Combining a Convolutional Neural Network and a Graph Neural Network
Multi-label sampling based on local label imbalance
Multi-label sampling based on local label imbalance
Multi-label Self-Supervised Learning with Scene Images
Multi-label Semantic 3D Reconstruction Using Voxel Blocks
Multi-label Semantic Decoding from Human Brain Activity
Multi-label Semantic Feature Fusion for Remote Sensing Image Captioning
Multi-label semantics preserving based deep cross-modal hashing
Multi-label Simple Points Definition for 3D Images Digital Deformable Model
Multi-label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories
Multi-label sparse coding for automatic image annotation
Multi-label Speech Emotion Recognition via Inter-Class Difference Loss Under Response Residual Network
Multi-label SVM active learning for image classification
Multi-label Text Classification Approach for Sentence Level News Emotion Analysis
Multi-label Transfer Learning With Sparse Representation
Multi-label video classification via coupling attentional multiple instance learning with label relation graph
Multi-label video classification via coupling attentional multiple instance learning with label relation graph
Multi-label visual classification with label exclusive context
Multi-label visual classification with label exclusive context
Multi-label Visual Feature Learning with Attentional Aggregation
Multi-label X-ray Imagery Classification via Bottom-up Attention and Meta Fusion
Multi-label Zero-Shot Learning with Structured Knowledge Graphs
Multi-label Zero-Shot Learning With Transfer-Aware Label Embedding Projection
Multi-label Zero-Shot Learning With Transfer-Aware Label Embedding Projection
Multi-Level Feature-Refinement Anchor-Free Framework with Consistent label-Assignment Mechanism for Ship Detection in SAR Imagery
Multi-Level label Correction by Distilling Proximate Patterns for Semi-Supervised Semantic Segmentation
Multi-Modal Cooperative Distillation for Zero-Shot Multi-label Classification
multi-model dynamic filtering of label noise for regression, A
Multi-Objective Interpolation Training for Robustness to label Noise
Multi-observation face recognition in videos based on label propagation
Multi-Perspective Pseudo-label Generation and Confidence-Weighted Training for Semi-Supervised Semantic Segmentation
Multi-Pseudo Regularized label for Generated Data in Person Re-Identification
Multi-scale feature correspondence and pseudo label retraining strategy for weakly supervised semantic segmentation
Multi-Source Data Fusion and Ensemble Learning for Canopy Height Estimation: Application of PolInSAR-Derived labels in Tropical Forests
Multi-Source Multi-label Learning for User Profiling in Online Games
Multi-source transfer learning based on label shared subspace
Multi-stage and multi-branch network with similar expressions label distribution learning for facial expression recognition
Multi-STEPS: Multi-label similarity and truth estimation for propagated segmentations
Multi-target label backdoor attacks on graph neural networks
Multi-Task Deep Neural Network for Multi-label Learning
Multi-task meta label correction for time series prediction
Multi-view 3D model recognition via multi-label and multi-level fusion with bidirectional GRU
Multi-view clustering via joint feature selection and partially constrained cluster label learning
Multi-view clustering via pseudo-label guide learning and latent graph structure recovery
Multi-View Factorizing and Disentangling: A Novel Framework for Incomplete Multi-View Multi-label Classification
Multi-View Features Joint Learning with label and Local Distribution Consistency for Point Cloud Classification
Multi-view label embedding
Multi-View label Prediction for Unsupervised Learning Person Re-Identification
Multi-View Metric Learning for Multi-label Image Classification
Multi-View Pose-Agnostic Change Localization with Zero labels
Multi-view prototype-based disambiguation for partial label learning
Multi-view Spectral Clustering via Integrating label and Data Graph Learning
MultiASNet: Multimodal label Noise Robust Framework for the Classification of Aortic Stenosis in Echocardiography
Multidimensional Belief Quantification for label-Efficient Meta-Learning
Multilabel classification using heterogeneous ensemble of multi-label classifiers
Multilabel Image Classification via Feature/Label Co-Projection
Multilabel Image Classification Via High-Order Label Correlation Driven Active Learning
Multilabel Naive Bayes classification considering label dependence
Multilabel Text Classification With Incomplete Labels: A Safe Generative Model With Label Manifold Regularization and Confidence Constraint
Multilabel Text Classification With Incomplete Labels: A Safe Generative Model With Label Manifold Regularization and Confidence Constraint
Multilevel Chinese Takeaway Process and label-Based Processes for Rule Induction in the Context of Automated Sports Video Annotation
Multimodal Aggregation Network With Serial Self-Attention Mechanism for Micro-Video Multi-label Classification, A
Multimodal Dual-Graph Collaborative Network With Serial Attentive Aggregation Mechanism for Micro-Video Multi-label Classification
Multimodal label Relevance Ranking via Reinforcement Learning
Multimodal learning for multi-label image classification
Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease
Multimodal Progressive Modulation Network for Micro-Video Multi-label Classification
Multimodal sentiment analysis based on label semantic guidance under social links
Multiple Facial Action Unit recognition by learning joint features and label relations
Multiple Instance Triplet Loss for Weakly Supervised Multi-label Action Localisation of Interacting Persons
Multiple label prediction for image annotation with multiple Kernel correlation models
Multiple Ocular Diseases Classification with Graph Regularized Probabilistic Multi-label Learning
Multiple One-shots for Utilizing Class label Information
Multiple Transfer Learning and Multi-label Balanced Training Strategies for Facial AU Detection In the Wild
Multiple-concept feature generative models for multi-label image classification
Multiple-Instance Multiple-label Learning for the Classification of Frog Calls with Acoustic Event Detection
Multiple-label Guided Clustering Algorithm for Historical Document Dating and Localization, A
Multiresolution Multimodal Sensor Fusion for Remote Sensing Data With label Uncertainty
Multitask Emotion Recognition with Incomplete labels
Multitask learning via pseudo-label generation and ensemble prediction for parasitic egg cell detection: IEEE ICIP Challenge 2022
Multitemporal classification without new labels: A solution with optimal transport
Multivalued label diffusion for semi-supervised segmentation
Multiview label Sharing for Visual Representations and Classifications
Multiview, Few-labeled Object Categorization by Predicting Labels With View Consistency
MURAUER: Mapping Unlabeled Real Data for Label AUstERity
Mutual calibration training: Training deep neural networks with noisy labels using dual-models
Mutual Quantization for Cross-Modal Search with Noisy labels
Mutualistic Multi-Network Noisy label Learning (MMNNLL) Method and Its Application to Transdiagnostic Classification of Bipolar Disorder and Schizophrenia
Naming People in News Videos with label Propagation
Negative label and Noise Information Guided Disambiguation for Partial Multi-Label Learning
Negative label and Noise Information Guided Disambiguation for Partial Multi-Label Learning
Neighbor-Based label Distribution Learning to Model Label Ambiguity for Aerial Scene Classification
Neighbor-Based label Distribution Learning to Model Label Ambiguity for Aerial Scene Classification
Neighbor-Guided Pseudo-label Generation and Refinement for Single-Frame Supervised Temporal Action Localization
Neighborhood Collective Estimation for Noisy label Identification and Chiorrection
Neural Architecture Search with Random labels
New Backdoor Attack in CNNS by Training Set Corruption Without label Poisoning, A
New Graph Structured Sparsity Model for Multi-label Image Annotations
New label propagation algorithm with pairwise constraints
New Model and Simple Algorithms for Multi-label Mumford-Shah Problems, A
NICEST: Noisy label Correction and Training for Robust Scene Graph Generation
Nighttime scene understanding with label transfer scene parser
NLNL: Negative Learning for Noisy labels
NLPrompt: Noise-label Prompt Learning for Vision-Language Models
NMS-Free Oriented Object Detection Based on Channel Expansion and Dynamic label Assignment in UAV Aerial Images
NoiseBox: Toward More Efficient and Effective Learning With Noisy labels
Noiserank: Unsupervised label Noise Reduction with Dependence Models
Noisy Concurrent Training for Efficient Learning under label Noise
Noisy Elephant in the Room: Is Your out-of-Distribution Detector Robust to label Noise?, A
Noisy label facial expression recognition via face-specific label distribution learning
Noisy label facial expression recognition via face-specific label distribution learning
Noisy label Learning With Provable Consistency for a Wider Family of Losses
Noisy label Recovery for Shadow Detection in Unfamiliar Domains
Noisy label Refinement with Semantically Reliable Synthetic Images
Noisy labels for Learning
Noisy multi-label semi-supervised dimensionality reduction
Non-Aligned Multi-View Multi-label Classification via Learning View-Specific Labels
Non-Aligned Multi-View Multi-label Classification via Learning View-Specific Labels
Non-Maximum Suppression Guided label Assignment for Object Detection in Crowd Scenes
Non-negative matrix factorization via discriminative label embedding for pattern classification
Non-parametric scene parsing: label transfer methods and datasets
Nonparametric label propagation using mutual local similarity in nearest neighbors
Nonparametric label-to-Region by search
Nonparametric Scene Parsing via label Transfer
Nonparametric scene parsing: label transfer via dense scene alignment
Not All labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection
Not All Relations are Equal: Mining Informative labels for Scene Graph Generation
Not All Samples Are Born Equal: Towards Effective Clean-label Backdoor Attacks
Not Just Change the labels, Learn the Features: Watermarking Deep Neural Networks with Multi-view Data
Novel Benchmark for Refinement of Noisy Localization labels in Autolabeled Datasets for Object Detection, A
Novel Decision-Tree Method for Structured Continuous-label Classification, A
Novel Discriminative Virtual label Regression Method for Unsupervised Feature Selection, A
Novel label Enhancement Algorithm Based on Manifold Learning, A
Novel Methodology to label Urban Remote Sensing Images Based on Location-Based Social Media Photos, A
Novel Model for Multi-label Image Annotation, A
Novel Parallel Algorithm with Map Segmentation for Multiple Geographical Feature label Placement Problem, A
Novel Perspective for Multi-Modal Multi-label Skin Lesion Classification, A
Novel Pseudo-label Generation Method for Semi-Superivised SAR Target Recognition Based on Deep Learning, A
Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels, A
novel weakly supervised immunohistochemical cell segmentation method via counting labels, A
NRN-RSSEG: A Deep Neural Network Model for Combating label Noise in Semantic Segmentation of Remote Sensing Images
Nuisance-label Supervision: Robustness Improvement by Free Labels
Nuisance-label Supervision: Robustness Improvement by Free Labels
O2U-Net: A Simple Noisy label Detection Approach for Deep Neural Networks
OAMatcher: An overlapping areas-based network with label credibility for robust and accurate feature matching
Object Boundary Detection and Classification with Image-Level labels
Object Detection with a Unified label Space from Multiple Datasets
Object-Aware Self-Supervised Multi-label Learning
Object-Location-Aware Hashing for Multi-label Image Retrieval via Automatic Mask Learning
Occlusion disparity refinement for stereo matching through the geometric prior-based adaptive label search
OHD: An Online Category-Aware Framework for Learning With Noisy labels Under Long-Tailed Distribution
OLCH: Online label Consistent Hashing for streaming cross-modal retrieval
On better detecting and leveraging noisy samples for learning with severe label noise
On Inferring Image label Information Using Rank Minimization for Supervised Concept Embedding
On inferring prototypes for multi-label few-shot learning via partial aggregation
On label Granularity and Object Localization
On Learning Contrastive Representations for Learning with Noisy labels
On Modelling label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-Observer Variability in 2D Echocardiography Quality Assessment
On the evolutionary optimization of k-NN by label-dependent feature weighting
On the Importance of label Quality for Semantic Segmentation
On the Knowledge Required to label a Picture Graph
On the label-free analysis of white blood cells by holographic quantitative phase imaging flow cytometry
On the Robustness of Average Losses for Partial-label Learning
On the Robustness of Monte Carlo Dropout Trained with Noisy labels
On Transferability of Histological Tissue labels in Computational Pathology
One-class label propagation using local cone based similarity
One-Stage Open-Vocabulary Temporal Action Detection Leveraging Temporal Multi-Scale and Action label Features
One-to-Few label Assignment for End-to-End Dense Detection
Online Continual Learning on Hierarchical label Expansion
Online crowdsourcing: Rating annotators and obtaining cost-effective labels
Online Motion Segmentation Using Dynamic label Propagation
Online multi-label classification under noisy and changing label distribution
Online multi-label classification under noisy and changing label distribution
Online multi-label streaming feature selection based on neighborhood rough set
Online multi-label streaming feature selection by affinity significance, affinity relevance and affinity redundancy
Online Pseudo label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification
Open Set Action Recognition via Multi-label Evidential Learning
Open Set label Shift with Test Time Out-of-Distribution Reference
Open Vocabulary Multi-label Video Classification
Open Vocabulary Object Detection with Pseudo Bounding-Box labels
Open-world Person Re-Identification by Multi-label Assignment Inference
Optical Flow Training Under Limited label Budget via Active Learning
Optimal Graph Learning-Based label Propagation for Cross-Domain Image Classification
Optimal no-intersection multi-label binary localization for time series using totally unimodular linear programming
Optimal transport filtering for robust cross-modal retrieval with open-set noisy labels
Optimal Transport for label-Efficient Visible-Infrared Person Re-Identification
Optimal, Generative Model for Estimating Multi-label Probabilistic Maps, An
Optimization approach for feature selection in multi-label classification
Optimized Ensemble Framework for Multi-label Classification on Long-Tailed Chest X-ray Data, An
Optimizing ambiguous speech emotion recognition through spatial-temporal parallel network with label correction strategy
Ord2Seq: Regarding Ordinal Regression as label Sequence Prediction
Orderless Recurrent Models for Multi-label Classification
Ordinal label Distribution Learning
OT-Filter: An Optimal Transport Filter for Learning with Noisy labels
Out-of-distribution Detection Without Class labels
Overcoming Catastrophic Forgetting for Multi-label Class-Incremental Learning
P-DIFF: Learning Classifier with Noisy labels based on Probability Difference Distributions
P3CL: Pseudo-label Confidence-Calibrated Curriculum Learning for Weakly Supervised Urban Airborne Laser Scanning Point Cloud Classification
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy labels
Pairwise learning for the partial label ranking problem
Panoptic Compositional Feature Field for Editable Scene Rendering with Network-Inferred labels via Metric Learning
Panoptic NeRF: 3D-to-2D label Transfer for Panoptic Urban Scene Segmentation
PanopticNeRF-360: Panoramic 3D-to-2D label Transfer in Urban Scenes
Parallel Algorithms via Scaled Paraboloid Structuring Functions for Spatially-Variant and label-Set Dilations and Erosions
Parametrical Model for Instance-Dependent label Noise, A
Part-based 3D object retrieval via multi-label optimization
Part-based Pseudo label Refinement for Unsupervised Person Re-identification
Partial label feature selection based on noisy manifold and label distribution
Partial label feature selection based on noisy manifold and label distribution
Partial label feature selection with dynamic streaming labels
Partial label feature selection with dynamic streaming labels
Partial label Learning Based on Disambiguation Correction Net With Graph Representation
Partial label Learning for Emotion Recognition From EEG
Partial label Learning via GANs With Multiclass SVMs and Information Maximization
Partial label Learning via Mutual Information Representation Learning
Partial label learning with semi-supervised clustering disambiguation
Partial multi-label feature selection based on label distribution learning
Partial multi-label feature selection based on label distribution learning
Partial multi-label feature selection with feature noise
Partial Multi-label Learning via Credible Label Elicitation
Partial Multi-label Learning via Credible Label Elicitation
Partial multi-label learning with discriminative feature subspace and dynamic label correlation
Partial multi-label learning with discriminative feature subspace and dynamic label correlation
Partial Multi-label Learning With Noisy Label Identification
Partial Multi-label Learning With Noisy Label Identification
Partial Multi-View Incomplete Multi-label Learning Network With Quality-Aware Representation Fusion
PASS: Peer-agreement based sample selection for training with instance dependent noisy labels
PAT: Position-Aware Transformer for Dense Multi-label Action Detection
Patch-Based Change Detection Method for SAR Images with label Updating Strategy
Patch-Based Face Recognition Using a Hierarchical Multi-label Matcher
Patch-Level Region-Aware Module with a Multi-label Framework for Remote Sensing Image Captioning, A
PatchCT: Aligning Patch Set and label Set with Conditional Transport for Multi-Label Image Classification
PatchCT: Aligning Patch Set and label Set with Conditional Transport for Multi-Label Image Classification
PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
PatchMatchGraph: Building a Graph of Dense Patch Correspondences for label Transfer
path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier, A
PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label
Penalized partial least square discriminant analysis with for multi-label data
People detection in crowded scenes by context-driven label propagation
Perception of Surface Slant and Edge labels from Optical Flow: A Computational Approach
Perfect labelling: A Review and Outlook of Label Optimization Techniques in Dynamic Earth Observation
Periocular Recognition in the Wild With Generalized label Smoothing Regularization
Person Identity label Propagation in Stereo Videos
Phantom of Benchmark Dataset: Resolving label Ambiguity Problem on Image Recognition in the Wild
Photo Recall: Using the Internet to label Your Photos
Photometric Transformer Networks and label Adjustment for Breast Density Prediction
Pick Your Neighborhood: Improving labels and Neighborhood Structure for Label Propagation
Pick Your Neighborhood: Improving labels and Neighborhood Structure for Label Propagation
PiCO+: Contrastive label Disambiguation for Robust Partial Label Learning
PiCO+: Contrastive label Disambiguation for Robust Partial Label Learning
PLAD: Learning to Infer Shape Programs with Pseudo-labels and Approximate Distributions
PLISA: An Optical-SAR Remote Sensing Image Registration Method Based on Pseudo-label Learning and Interactive Spatial Attention
PLM: Partial label Masking for Imbalanced Multi-label Classification
PLM: Partial label Masking for Imbalanced Multi-label Classification
Plmcl: Partial-label Momentum Curriculum Learning for Multi-label Image Classification
Plmcl: Partial-label Momentum Curriculum Learning for Multi-label Image Classification
PLReMix: Combating Noisy labels with Pseudo-Label Relaxed Contrastive Representation Learning
PLReMix: Combating Noisy labels with Pseudo-Label Relaxed Contrastive Representation Learning
PNP: Robust Learning from Noisy labels by Probabilistic Noise Prediction
Point cloud accumulation via multi-dimensional pseudo label and progressive instance association
point walker multi-label approach, The
Point-supervised Panoptic Segmentation via Estimating Pseudo labels from Learnable Distance
Polyconvexification of the multi-label optical flow problem
Pose Guided Attention for Multi-label Fashion Image Classification
Positive and Negative label Propagations
Positive and Negative label-Driven Nonnegative Matrix Factorization
Positive-Unlabeled Learning With Label Distribution Alignment
PositiveCoOp: Rethinking Prompting Strategies for Multi-label Recognition with Partial Annotations
POTLoc: Pseudo-label Oriented Transformer for point-supervised temporal Action Localization
PPDSA: Privacy-Preserving Cross-Modal Retrieval With Disentangled Soft-label Alignment
PPP: Joint Pointwise and Pairwise Image label Prediction
PPR-net: Patch-based Multi-scale Pyramid Registration Network for Defect Detection of Printed label
Predicting Depth, Surface Normals and Semantic labels with a Common Multi-scale Convolutional Architecture
Predicting label Distribution From Tie-Allowed Multi-Label Ranking
Predicting label Distribution From Tie-Allowed Multi-Label Ranking
Predicting Personality from Book Preferences with User-Generated Content labels
Predicting Sentiments in Image Advertisements using Semantic Relations among Sentiment labels
Prefix Conditioning Unifies Language and label Supervision
Preserving label-Related Domain-Specific Information for Cross-Domain Semantic Segmentation
Privacy-Preserving Collaboration for Multi-Organ Segmentation via Federated Learning from Sites with Partial labels
Pro-ReID: Producing reliable pseudo labels for unsupervised person re-identification
Probabilistic End-To-End Noise Correction for Learning With Noisy labels
Probabilistic label Relation Graphs with Ising Models
Probabilistic label Trees for Efficient Large Scale Image Classification
probabilistic multi-label classifier with missing and noisy labels handling capability, A
probabilistic multi-label classifier with missing and noisy labels handling capability, A
Probabilistic Patch-Based label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images, A
probabilistic topic model for event-based image classification and multi-label annotation, A
Probability based dynamic soft label assignment for object detection
Product label Inspection Using Transputers
progressive attention network with transformer for multi-label image recognition, A
Progressive Contrastive label Optimization for Source-Free Universal 3D Model Retrieval
Progressive Cross-Camera Soft-label Learning for Semi-Supervised Person Re-Identification
Progressive Cross-Validation Learning for Signal Classification with Noisy labels
Progressive enhancement network with pseudo labels for weakly supervised temporal action localization
Progressive label enhancement
Progressive Pseudo labeling for Multi-Dataset Detection Over Unified Label Space
Progressive Reinforcement Learning for Point-Feature label Placement in Map Annotation
progressive segmentation with weight contrast label enhancement for weakly supervised video salient object detection, A
Projective label Propagation by Label Embedding
Projective label Propagation by Label Embedding
Prompt Consistency for Multi-label Textual Emotion Detection
Propagating sparse labels through edge-aware filters
proposal for supervised clustering with Dirichlet Process using labels, A
ProSelfLC: Progressive Self label Correction for Training Robust Deep Neural Networks
Protocon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning
Prototype-Based Continual Learning with label-Free Replay Buffer and Cluster Preservation Loss
Prototypical Pseudo label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
PseR: Pseudo-label Refinement for Point-Supervised Temporal Action Detection
Pseudo label Association and Prototype-Based Invariant Learning for Semi-Supervised NIR-VIS Face Recognition
Pseudo label Based on Multiple Clustering for Unsupervised Cross-Domain Person Re-Identification
Pseudo label Fusion With Uncertainty Estimation for Semi-Supervised Cropping Box Regression
Pseudo label Rectification With Joint Camera Shift Adaptation and Outlier Progressive Recycling for Unsupervised Person Re-Identification
Pseudo label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection
Pseudo labels approach to interpretable self-guided subspace clustering
Pseudo labels Refinement with Intra-Camera Similarity for Unsupervised Person Re-Identification
Pseudo Supervised Solar Panel Mapping based on Deep Convolutional Networks with label Correction Strategy in Aerial Images
Pseudo-IoU: Improving label Assignment in Anchor-Free Object Detection
Pseudo-label Alignment for Semi-Supervised Instance Segmentation
Pseudo-label based unsupervised fine-tuning of a monocular 3D pose estimation model for sports motions
Pseudo-label Diversity Exploitation for Few-shot Object Detection
Pseudo-label estimation via unsupervised Identity Link Prediction for one-shot person Re-Identification
Pseudo-label Generation and Various Data Augmentation for Semi-Supervised Hyperspectral Object Detection
Pseudo-label Generation for Agricultural Robotics Applications
Pseudo-label Generation-Evaluation Framework for Cross Domain Weakly Supervised Object Detection
Pseudo-label Guided Artificial Bee Colony Algorithm for Hyperspectral Band Selection, A
Pseudo-label Guided Collective Matrix Factorization for Multiview Clustering
Pseudo-label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation
Pseudo-label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation
Pseudo-label Guided Incomplete Partial View-Aligned Clustering
Pseudo-label refinement via hierarchical contrastive learning for source-free unsupervised domain adaptation
Pseudo-label-Assisted Subdomain Adaptation for Hyperspectral Image Classification
Pseudo-labelling Meets Label Smoothing for Noisy Partial Label Learning
Pseudo-labelling Meets Label Smoothing for Noisy Partial Label Learning
Pseudo-labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to Object Detection Under Ego-Motion
PseudoProp: Robust Pseudo-label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems
PSSCL: A progressive sample selection framework with contrastive loss designed for noisy labels
PSTG-based multi-label optimization for multi-target tracking
Quasibinary Classifier for Images with Zero and Multiple labels
Query-Based Video Summarization with Pseudo label Supervision
RA-GCN: Residual attention based graph convolutional network for multi-label pattern image retrieval
RA-YOLOX: Re-parameterization align decoupled head and novel label assignment scheme based on YOLOX
RAEncoder: A label-Free Reversible Adversarial Examples Encoder for Dataset Intellectual Property Protection
Rank and Sort Loss-Aware label Assignment with Centroid Prior for Dense Object Detection
rank minimization-based late fusion method for multi-label image annotation, A
Rank-Consistency Deep Hashing for Scalable Multi-label Image Search
Ranking Distillation for Open-Ended Video Question Answering with Insufficient labels
ranking-based problem transformation method for weakly supervised multi-label learning, A
Ranking-Preserving Low-Rank Factorization for Image Annotation With Missing labels
RankMatch: Fostering Confidence and Consistency in Learning with Noisy labels
Rapid and Automated Mapping of Crop Type in Jilin Province Using Historical Crop labels and the Google Earth Engine
RAR-U-NET: A Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation Under Noisy labels
Rare Class Oriented Scene labeling Using CNN Incorporated Label Transfer
Re-distributing Biased Pseudo labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
Re-labeling ImageNet: From Single to Multi-Labels, from Global to Localized Labels
Re-labeling ImageNet: From Single to Multi-Labels, from Global to Localized Labels
Re-Weighting Large Margin label Distribution Learning for Classification
READER: Robust Semi-Supervised Multi-label Dimension Reduction
Real-Time Multi-label Classification System for Short Videos, A
Real-Time Semantic Segmentation with label Propagation
RECIST-Induced Reliable Learning: Geometry-Driven label Propagation for Universal Lesion Segmentation
Recognition of ongoing complex activities by sequence prediction over a hierarchical label space
Recognition of phonetic labels of the TIMIT speech corpus by means of an artificial neural network
Recognizing multiple observations using adaptive graph based label propagation
Recognizing Products: A Per-exemplar Multi-label Image Classification Approach
Reconstructing data representation for multi-label feature selection
Recover and Match: Open-Vocabulary Multi-label Recognition through Knowledge-Constrained Optimal Transport
Rectifying Pseudo label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Recurrent Asynchronous Multimodal Networks + Events, Frames, Semantic labels, and Depth maps recorded in CARLA simulator
Recurrent Image Annotation with Explicit Inter-label Dependencies
Recurrently exploring class-wise attention in a hybrid convolutional and bidirectional LSTM network for multi-label aerial image classification
Recursive NMF: Efficient label tree learning for large multi-class problems
Reduce, reuse & recycle: Efficiently solving multi-label MRFs
Reducing label Effort: Self-Supervised meets Active Learning
Reducing noisy labels in weakly labeled data for visual sentiment analysis
Reducing the label Bias for Timestamp Supervised Temporal Action Segmentation
Refine and Redistribute: Multi-Domain Fusion and Dynamic label Assignment for Unbiased Scene Graph Generation
Refining Noisy labels With Label Reliability Perception for Person Re-Identification
Refining Noisy labels With Label Reliability Perception for Person Re-Identification
Refining Pseudo labels with Clustering Consensus over Generations for Unsupervised Object Re-identification
Refining pseudo-labels through iterative mix-up for weakly supervised semantic segmentation
Reflective Learning With label Noise
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation
Region and Temporal Dependency Fusion for Multi-label Action Unit Detection
Region Uncertainty Estimation for Medical Image Segmentation With Noisy labels
Regional Gating Neural Networks for Multi-label Image Classification
RegionCut: Interactive multi-label segmentation utilizing cellular automaton
Regression-based label fusion for multi-atlas segmentation
Regularized Matrix Factorization for Multilabel Learning With Missing Labels
Regularizing Deep Networks by Modeling and Predicting label Structure
Regularizing deep networks with label geometry for accurate object localization on small training datasets
Regularly Truncated M-Estimators for Learning With Noisy labels
Relaxation labeling Using Continuous Label Sets
Reliable and Dynamic Appearance Modeling and label Consistency Enforcing for Fast and Coherent Video Object Segmentation With the Bilateral Grid
Reliable label-Supervised Pixel Attention Mechanism for Weakly Supervised Building Segmentation in UAV Imagery
Reliable Programmatic Weak Supervision With Confidence Intervals for label Probabilities
Reliable Representation Learning for Incomplete Multi-View Missing Multi-label Classification
ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning
Remote Sensing Image Scene Classification via label Augmentation and Intra-Class Constraint
Remote Sensing Image Scene Classification with Noisy label Distillation
Remote Sensing Mapping of Build-Up Land with Noisy label via Fault-Tolerant Learning
Removing label Ambiguity in Learning-Based Visual Saliency Estimation
Repeatable Semantic Reef-Mapping through Photogrammetry and label-Augmentation
Residual Attention: A Simple but Effective Method for Multi-label Recognition
Residual k-Nearest Neighbors label Distribution Learning
RestoCrowd: Image restoration coadjutant learning for hazy-weather crowd counting without weather labels
Restricted label-Based Self-Supervised Learning Using SAR and Multispectral Imagery for Local Climate Zone Classification
ReSup: Reliable label Noise Suppression for Facial Expression Recognition
Retargeted Regression Methods for Multi-label Learning
Retargeting HR Aerial Photos Under Contaminated labels With Application in Smart Navigation
Rethinking Cluster-Conditioned Diffusion Models for label-Free Image Synthesis
Rethinking label Flipping Attack: From Sample Masking to Sample Thresholding
Rethinking precision of pseudo label: Test-time adaptation via complementary learning
Retrieval-Based Face Annotation by Weak label Regularized Local Coordinate Coding
Retrieving Water Quality Parameters from Noisy-label Data Based on Instance Selection
Revamping Blood Vessel Edge-Buffer labels: A Self-Correcting Region Supervision
Reverse-nearest neighborhood based oversampling for imbalanced, multi-label datasets
Review of Domain Adaptation without Target labels, A
Revisiting Adversarial Robustness Distillation: Robust Soft labels Make Student Better
Revisiting Domain-adaptive Object Detection in Adverse Weather by the Generation and Composition of High-quality Pseudo-labels
Revisiting Knowledge Distillation via label Smoothing Regularization
Revisiting Sample Weights Based Method for Noisy-label Detection and Classification
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-label Classification Under Data Scarcity
RFLA: Gaussian Receptive Field Based label Assignment for Tiny Object Detection
RGB-D Semantic Segmentation and label-Oriented Voxelgrid Fusion for Accurate 3D Semantic Mapping
Rice Mapping in Training Sample Shortage Regions Using a Deep Semantic Segmentation Model Trained on Pseudo-labels
RLP-AGMC: Robust label propagation for saliency detection based on an adaptive graph with multiview connections
RML++: Regroup Median Loss for Combating label Noise
Robust Adaptive label Propagation by Double Matrix Decomposition
Robust and Discriminative labeling for Multi-Label Active Learning Based on Maximum Correntropy Criterion
Robust Approaches for Multi-label Face Classification
Robust Asymmetric Loss for Multi-label Long-Tailed Learning
Robust Discriminative Tracking via Landmark-Based label Propagation
Robust Feature Learning Against Noisy labels
Robust Fine-Grained Visual Recognition With Neighbor-Attention label Correction
Robust fuzzy relational classifier incorporating the soft class labels
Robust Higher Order Potentials for Enforcing label Consistency
Robust Histopathology Image Analysis: To label or to Synthesize?
Robust Image Classification With Noisy labels by Negative Learning and Feature Space Renormalization
Robust Interactive Multi-label Segmentation with an Advanced Edge Detector
Robust label Prediction via Label Propagation and Geodesic k-Nearest Neighbor in Online Semi-Supervised Learning
Robust label Prediction via Label Propagation and Geodesic k-Nearest Neighbor in Online Semi-Supervised Learning
Robust label Rectifying With Consistent Contrastive-Learning for Domain Adaptive Person Re-Identification
Robust Locality-Constrained label Consistent K-SVD by Joint Sparse Embedding
Robust Meta-Representation Learning via Global label Inference and Classification
Robust multi-atlas label propagation by deep sparse representation
Robust Multi-Graph Multi-label Learning with Dual-Granularity Labeling
Robust Multi-label Image Classification with Semi-Supervised Learning and Active Learning
Robust Multi-label Learning with Human-Guided and Foundation Model-Aided Crowd Framework
Robust Noisy label Learning via Two-Stream Sample Distillation
Robust Non-negative Graph Embedding: Towards noisy data, unreliable graphs, and noisy labels
Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With label Noise
Robust Object Re-identification with Coupled Noisy labels
Robust online hashing with label semantic enhancement for cross-modal retrieval
Robust Palmprint Recognition via Multi-Stage Noisy label Selection and Correction
Robust regression on image manifolds for ordered label denoising
Robust Semi-Supervised Classification for Noisy labels Based on Self-Paced Learning
robust semi-supervised learning approach via mixture of label information, A
Robust Semisupervised Classification for PolSAR Image With Noisy labels
Robust Shipping label Recognition and Validation for Logistics by Using Deep Neural Networks
Robust sparse and low-redundancy multi-label feature selection with dynamic local and global structure preservation
Robust Specific Emitter Identification Under label Noise and Quantity Limitations in Intelligent Transportation Systems
Robust Statistical Fusion of Image labels
Robust Statistical label Fusion Through Consensus Level, Labeler Accuracy, and Truth Estimation (COLLATE)
Robust Stochastic Neural Ensemble Learning With Noisy labels for Thoracic Disease Classification
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise labels
Robust supervised classification with mixture models: Learning from data with uncertain labels
Robust Teacher: Self-correcting pseudo-label-guided semi-supervised learning for object detection
Robust Visual Tracking based on Adversarial Unlabeled Instance Generation with Label Smoothing Loss Regularization
Robust Visual Tracking Using Dynamic Classifier Selection with Sparse Representation of label Noise
ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence
RoMo: Robust Unsupervised Multimodal Learning With Noisy Pseudo labels
RoNFA: Robust neural field-based approach for few-shot image classification with noisy labels
RONO: Robust Discriminative Learning with Noisy labels for 2D-3D Cross-Modal Retrieval
RSF: Optimizing Rigid Scene Flow From 3D Point Clouds Without labels
S2A-Swin: Spectral Smoothing-Guided Spectral-Spatial Windows with Generative Augmentation for Hyperspectral Image Classification Under Class Imbalance and Limited labels
S2ml-tl Framework for Multi-label Food Recognition
SA3Det: Detecting Rotated Objects via Pixel-Level Attention and Adaptive labels Assignment
SAC-Net: Enhancing Spatiotemporal Aggregation in Cervical Histological Image Classification via label-Efficient Weakly Supervised Learning
SADCMF: Self-Attentive Deep Consistent Matrix Factorization for Micro-Video Multi-label Classification
SAE-PPL: Self-guided attention encoder with prior knowledge-guided pseudo labels for weakly supervised video anomaly detection
Safe incomplete label distribution learning
SALAD: Source-free Active label-Agnostic Domain Adaptation for Classification, Segmentation and Detection
Salient object detection enhanced pseudo-labels for weakly supervised semantic segmentation
Sample diversity selection strategy based on label distribution morphology for active label distribution learning
Sample diversity selection strategy based on label distribution morphology for active label distribution learning
Sample Selection Approach with Number of False Predictions for Learning with Noisy labels
Sample selection for noisy partial label learning with interactive contrastive learning
Sample-wise label Confidence Incorporation for Learning with Noisy Labels
Sample-wise label Confidence Incorporation for Learning with Noisy Labels
SAR Image Change Detection Based on Iterative label-Information Composite Kernel Supervised by Anisotropic Texture
SAR Image Segmentation Using Region Smoothing and label Correction
SaR: Self-adaptive Refinement on Pseudo labels for Multiclass-Imbalanced Semi-supervised Learning
Satellite Video Multi-label Scene Classification With Spatial and Temporal Feature Cooperative Encoding: A Benchmark Dataset and Method
Scalable and Adaptive Graph Neural Networks with Self-label-Enhanced Training
Scalable Mobile Video Retrieval with Sparse Projection Learning and Pseudo label Mining
Scalable multi-label annotation via semi-supervised kernel semantic embedding
Scalable multi-label canonical correlation analysis for cross-modal retrieval
Scalable multi-output label prediction: From classifier chains to classifier trellises
Scalable Penalized Regression for Noise Detection in Learning with Noisy labels
Scalable Semi-Supervised Learning With Discriminative label Propagation and Correction
Scaling Open-Vocabulary Image Segmentation with Image-Level labels
Scaling up instance annotation via label propagation
Scan: Learning to Classify Images Without labels
ScanMix: Learning from Severe label Noise via Semantic Clustering and Semi-Supervised Learning
Scene Flow Estimation from Point Clouds with Contrastive Loss and Dual Pseudo labels
Scene Graph Prediction With Limited labels
Scene parsing by nonparametric label transfer of content-adaptive windows
Scene-Aware label Graph Learning for Multi-Label Image Classification
Scene-Aware label Graph Learning for Multi-Label Image Classification
Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset
SCLS: Multi-label feature selection based on scalable criterion for large label set
SCLS: Multi-label feature selection based on scalable criterion for large label set
SDBF: Steep-Decision-Boundary Fingerprinting for Hard-label Tampering Detection of DNN Models
Searching to Exploit Memorization Effect in Deep Learning With Noisy labels
Second-Order Approach to Learning with Instance-Dependent label Noise, A
SEED-VII: A Multimodal Dataset of Six Basic Emotions With Continuous labels for Emotion Recognition
Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-label 3D Scene Attacks
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric labels
SegDA: Maximum Separable Segment Mask with Pseudo labels for Domain Adaptive Semantic Segmentation
Segment and label Indoor Scene Based on RGB-D for the Visually Impaired
Segment3d: Learning Fine-grained Class-agnostic 3d Segmentation Without Manual labels
Segmentation Framework Based on label Field Fusion
Segmentation of cells in electron microscopy images through multimodal label transfer
Select, label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with Limited labels
Selective Random Walk for Transfer Learning in Heterogeneous label Spaces
Selective sampling based on the variation in label assignments
Selective-relaxed contrastive learning for hyperspectral image classification with noisy labels
Selective-Supervised Contrastive Learning with Noisy labels
Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited labels, A
Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-label Prompt
Self-distillation and self-supervision for partial label learning
Self-distillation with beta label smoothing-based cross-subject transfer learning for P300 classification
Self-Distillation-Based Polarimetric Image Classification with Noisy and Sparse labels
Self-Error-Correcting Convolutional Neural Network for Learning with Noisy labels
Self-Filtering: A Noise-Aware Sample Selection for label Noise with Confidence Penalization
Self-label Refining for Unsupervised Person Re-Identification
SELF-LLP: Self-supervised learning from label proportions with self-ensemble
Self-paced Learning to Improve Text Row Detection in Historical Documents with Missing labels
Self-paced resistance learning against overfitting on noisy labels
Self-Reasoning Framework for Anomaly Detection Using Video-Level labels, A
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy labels
Self-similarity Student for Partial label Histopathology Image Segmentation
Self-Supervised Exclusive-Inclusive Interactive Learning for Multi-label Facial Expression Recognition in the Wild
Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation with Reliable Voted Pseudo labels
Self-Supervised Pyramid Representation Learning for Multi-label Visual Analysis and Beyond
Self-Supervised Semantic Soft label Learning Network for Deep Multi-View Clustering
Self-supervised video object segmentation via pseudo label rectification
Self-Taught Metric Learning without labels
Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy labels
Semantic Contrastive Bootstrapping for Single-Positive Multi-label Recognition
Semantic Diversity Learning for Zero-Shot Multi-label Classification
semantic guidance-based fusion network for multi-label image classification, A
Semantic Hierarchy-Aware Hyperbolic Representations for Multi-label Classification With Single Positive Labels
Semantic Hierarchy-Aware Hyperbolic Representations for Multi-label Classification With Single Positive Labels
Semantic Human Parsing via Scalable Semantic Transfer Over Multiple label Domains
Semantic Image labelling as a Label Puzzle Game
Semantic Instance Annotation of Street Scenes by 3D to 2D label Transfer
Semantic label and Structure Model based Approach for Entity Recognition in Database Context
Semantic label Sharing for Learning with Many Categories
Semantic labels-Aware Transformer Model for Searching over a Large Collection of Lecture-Slides
Semantic Music Annotation by label-Specific Conditional Random Fields
Semantic Parsing of Colonoscopy Videos with Multi-label Temporal Networks
Semantic Projection Network for Zero- and Few-label Semantic Segmentation
Semantic segmentation of mobile mapping point clouds via multi-view label transfer
Semantic Segmentation of Remote Sensing Imagery Using an Object-Based Markov Random Field Model With Auxiliary label Fields
Semantic Segmentation of Remote Sensing Imagery Using Object-based Markov Random Field Based on Hierarchical Segmentation Tree With Auxiliary labels
Semantic Segmentation, label and Segment Together
Semantic Supplementary Network With Prior Information for Multi-label Image Classification
Semantic Video Concept Detection using Novel Mixed-Hybrid-Fusion Approach for Multi-label Data
Semantic-Aware Graph Matching Mechanism for Multi-label Image Recognition
Semantic-Aware Multi-label Adversarial Attacks
Semantic-based conditional generative adversarial hashing with pairwise labels
Semantic-Guided Representation Enhancement for Multi-label Image Classification
Semantic-Preserving Deep Hashing Model for Multi-label Remote Sensing Image Retrieval, A
Semantically Enhanced label Prediction Method for Imbalanced POI Data Category Distribution, A
Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative label Propagation
Semi-automatic muscle segmentation in MR images using deep registration-based label propagation
Semi-Consistency: A Solution to the No-label Problem
Semi-Paired Approach for label-to-Image Translation, A
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo label Correction Module
Semi-Supervised 3D Hand Shape and Pose Estimation with label Propagation
Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples with Graph-based Virtual labels
Semi-Supervised Bi-Dictionary Learning for Image Classification With Smooth Representation-Based label Propagation
Semi-supervised classification for hyperspectral imagery based on spatial-spectral label Propagation
Semi-Supervised Classification of Hyperspectral Images Based on Extended label Propagation and Rolling Guidance Filtering
Semi-supervised convolutional neural networks with label propagation for image classification
Semi-Supervised Cross-Modal Retrieval With label Prediction
Semi-supervised cross-modality person re-identification based on pseudo label learning
Semi-Supervised Crowd Counting via Multi-Task Pseudo-label Self-Correction Strategy
Semi-Supervised Crowd Counting With Spatial Temporal Consistency and Pseudo-label Filter
Semi-Supervised Deep Learning Using Pseudo labels for Hyperspectral Image Classification
Semi-supervised dimensionality reduction of hyperspectral imagery using pseudo-labels
Semi-supervised Domain Adaptation by Similarity Based Pseudo-label Injection
Semi-Supervised Domain Adaptation with Source label Adaptation
Semi-Supervised Dual Relation Learning for Multi-label Classification
Semi-supervised feature selection with concept factorization and robust label learning
Semi-Supervised FMCW Radar Hand Gesture Recognition via Pseudo-label Consistency Learning
Semi-Supervised Graph Structure Learning via Dual Reinforcement of label and Prior Structure
Semi-Supervised Imbalanced Multi-label Classification with Label Propagation
Semi-Supervised Imbalanced Multi-label Classification with Label Propagation
Semi-Supervised Learning for Multi-label Cardiovascular Diseases Prediction: A Multi-Dataset Study
Semi-supervised learning in traffic scene surveillance based on label-propagation
Semi-Supervised Learning of Semantic Correspondence with Pseudo-labels
Semi-Supervised Low-Rank Mapping Learning for Multi-label Classification
Semi-supervised multi-label feature selection via label correlation analysis with L1-norm graph embedding
Semi-supervised multi-label feature selection via label correlation analysis with L1-norm graph embedding
Semi-Supervised Object Detection for Remote Sensing Images Using Consistent Dense Pseudo-labels
Semi-supervised Online Kernel Semantic Embedding for Multi-label Annotation
Semi-supervised orthogonal discriminant analysis via label propagation
Semi-supervised partial label learning via label confidence recovery
Semi-supervised partial label learning via label confidence recovery
Semi-Supervised Partial Multi-label Classification via Consistency Learning
Semi-supervised partial multi-label classification with low-rank and manifold constraints
Semi-supervised pivotal-aware nonnegative matrix factorization with label and pairwise constraint propagation for data clustering
Semi-Supervised Remote Sensing Image Semantic Segmentation via Consistency Regularization and Average Update of Pseudo-label
Semi-supervised robust deep neural networks for multi-label image classification
semi-supervised segmentation network fusing pseudo-label with multi-level feature consistency correction for hard exudates, A
Semi-supervised Semantic Mapping Through label Propagation with Semantic Texture Meshes
Semi-Supervised Semantic Segmentation under label Noise via Diverse Learning Groups
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-labels
Semi-Supervised Text Detection With Accurate Pseudo-labels
Semi-Supervised Two-Stage Approach to Learning from Noisy labels, A
Semi-Supervised Video Salient Object Detection Using Pseudo-labels
Semi-Supervised Zero-Shot Classification with label Representation Learning
SemiGPC: Distribution-Aware label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes
Semisupervised Dimensionality Reduction and Classification Through Virtual label Regression
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition
Set-based label propagation of face images
Sewer-ML: A Multi-label Sewer Defect Classification Dataset and Benchmark
Shape-aware label fusion for multi-atlas frameworks
Shape-included label-consistent discriminative dictionary learning: An approach to detect and segment multi-class objects in images
Shared Multi-Attention Framework for Multi-label Zero-Shot Learning, A
SHIP: Structural Hierarchies for Instance-Dependent Partial labels
Shot in the Dark: Few-Shot Learning with No Base-Class labels
Shrinking large visual vocabularies using multi-label agglomerative information bottleneck
Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-labels for Enhanced Source-Free Domain Adaptation
SILT: Shadow-aware Iterative label Tuning for Learning to Detect Shadows from Noisy Labels
SILT: Shadow-aware Iterative label Tuning for Learning to Detect Shadows from Noisy Labels
SimPLE: Similar Pseudo label Exploitation for Semi-Supervised Classification
Simultaneous Nonlinear label-Instance Embedding for Multi-label Classification
Simultaneous Nonlinear label-Instance Embedding for Multi-label Classification
Simultaneous visualization of samples, features and multi-labels
Single image dehazing based on multi-label graph cuts
Single image depth estimation from predicted semantic labels
Single-Stage Semantic Segmentation From Image labels
SiSe: Simultaneous and Sequential Transformers for multi-label activity recognition
SkiLL: Skipping Color and label Landscape: Self Supervised Design Representations for Products in E-commerce
Skin disease classification versus skin lesion characterization: Achieving robust diagnosis using multi-label deep neural networks
SLED: Semantic label Embedding Dictionary Representation for Multilabel Image Annotation
SLNL: Soft label Regularization for Semi-Supervised Facial Expression Recognition with Negative Label Learning
SLNL: Soft label Regularization for Semi-Supervised Facial Expression Recognition with Negative Label Learning
SMART: Semantic-Aware Masked Attention Relational Transformer for Multi-label Image Recognition
SmartOverlays: A Visual Saliency Driven label Placement for Intelligent Human-Computer Interfaces
SMIT: Stochastic Multi-label Image-to-Image Translation
SmoothFace: Class-Conditional label Smoothing for Synthetic-based Face Recognition
Smoothing and Transition Matrices Estimation to Learn with Noisy labels
Soft label and Discriminant Embedding Estimation for Semi-Supervised Classification
Soft label based Linear Discriminant Analysis for image recognition and retrieval
Soft label Mining and Average Expression Anchoring for Facial Expression Recognition
Soft labels for Ordinal Regression
Soft pseudo-label shrinkage for unsupervised domain adaptive person re-identification
Soft-Boundary label Relaxation with class placement constraints for semantic segmentation of the railway environment
Soft-label Anonymous Gastric X-Ray Image Distillation
Soften to Defend: Towards Adversarial Robustness via Self-Guided label Refinement
SORAG: Synthetic Data Over-Sampling Strategy on Multi-label Graphs
Source Class Selection With label Propagation for Partial Domain Adaptation
Source-Free Continual Adaptive Learning with Limited labels on Evolving Data Drifts
Source-free video domain adaptation by learning from noisy labels
soybean mapping framework via multi-index-derived pseudo-label enhancement and contrastive embedding neural network, A
Spamming labels: Efficient Annotations for the Trackers of Tomorrow
SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-label Recognition in Vision-Language Models
Sparse coding with morphology segmentation and multi-label fusion for hyperspectral image super-resolution
Sparse coding with unity range codes and label consistent discriminative dictionary learning
Sparse label Assignment for Oriented Object Detection in Aerial Images
Sparse label-Indicator Optimization Methods for Image Classification
Sparse Patch-Based label Fusion for Multi-Atlas Segmentation
Sparse Patch-Based label Propagation for Accurate Prostate Localization in CT Images
Sparse patch-based representation with combined information of atlas for multi-atlas label fusion
Sparsity induced similarity measure for label propagation
SPaSe - Multi-label Page Segmentation for Presentation Slides
Spatial codification of label predictions in multi-scale stacked sequential learning: a case study on multi-class medical volume segmentation
Spatial Consistency Loss for Training Multi-label Classifiers from Single-Label Annotations
Spatial Consistency Loss for Training Multi-label Classifiers from Single-Label Annotations
Spatial Context-Aware Object-Attentional Network for Multi-label Image Classification
Spatial Density Peak Clustering for Hyperspectral Image Classification With Noisy labels
Spatial Mask-Based Adaptive Robust Training for Video Object Segmentation With Noisy labels
Spatial-Visual label Propagation for Local Feature Classification
Spectral Clustering and label Fusion For 3D Tissue Classification: Sensitivity and Consistency Analysis
Spectral feature projections that maximize Shannon mutual information with class labels
speedup scheme for MRF stereo using local label hierarchy, A
Spherical Space Domain Adaptation With Robust Pseudo-label Loss
SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning
SpliceMix: A Cross-Scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification
SplitNet: Learnable Clean-Noisy label Splitting for Learning with Noisy Labels
SplitNet: Learnable Clean-Noisy label Splitting for Learning with Noisy Labels
Sports Field Registration via Keypoints-aware label Condition
SST: Spatial and Semantic Transformers for Multi-label Image Recognition
Stable-Invertible Graph Convolutional Networks for label-Efficient Skeleton-Based Recognition
Stacked Fully Convolutional Networks with Feature Alignment Framework for Multi-label Land-cover Segmentation, A
STAPLE: Siamese Transformer Assisted Pseudo label Ensembling for Unsupervised Domain Adaptation in No-Reference IQA
STFlow: Self-Taught Optical Flow Estimation Using Pseudo labels
Stochastic label Refinery: Toward Better Target Label Distribution
Stochastic label Refinery: Toward Better Target Label Distribution
Streaming View Classification With Noisy label
Structure label Matrix Completion for PolSAR Image Classification
Structured class-labels in random forests for semantic image labelling
Structured label Inference for Visual Understanding
Structured labels in Random Forests for Semantic Labelling and Object Detection
Structured max-margin learning for multi-label image annotation
StyleSeg V2: Towards robust single-label-supervised segmentation of brain tissue via optimization-free registration error perception
Submarine Topography Classification Using ConDenseNet with label Smoothing Regularization
SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object labels
Superpixel Graph label Transfer with Learned Distance Metric
Superpixel Guided Sample Selection Neural Network for Handling Noisy labels in Hyperspectral Image Classification, A
Superpixel-Level Weighted label Propagation for Hyperspectral Image Classification
Supervised Geodesic Propagation for Semantic label Transfer
Supervised High-Level Feature Learning With label Consistencies for Object Recognition
Supervised label Transfer for Semantic Segmentation of Street Scenes
Supervised learning-based label integration for crowdsourcing
Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model, A
Survey of label-Efficient Deep Learning for 3D Point Clouds, A
Survey on label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction, A
SVM based multi-label learning with missing labels for image annotation
SVM based multi-label learning with missing labels for image annotation
Swift distance transformed belief propagation using a novel dynamic label pruning method
Switching class labels to generate classification ensembles
Symmetric Cross Entropy for Robust Learning With Noisy labels
Synthetic aperture radar image segmentation using fuzzy label field-based triplet Markov fields model
t-RAIN: Robust generalization under weather-aliasing label shift attacks
TABNet: A Triplet Augmentation Self-recovery framework with Boundary-aware Pseudo-labels for scribble-based medical image segmentation
TABU Search Heuristic for Point-Feature Cartographic label Placement
Tackling Noisy labels With Network Parameter Additive Decomposition
Tail-Aware Reconstruction of Incomplete label Distributions With Low-Rank and Sparse Modeling
Taking a Closer Look At Visual Relation: Unbiased Video Scene Graph Generation With Decoupled label Learning
TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition
Task-Specific Loss for Robust Instance Segmentation With Noisy Class labels
TC-Net: Detecting Noisy labels Via Transform Consistency
Teacher-generated spatial-attention labels boost robustness and accuracy of contrastive models
Teaching with Soft label Smoothing for Mitigating Noisy Labels in Facial Expressions
Teaching with Soft label Smoothing for Mitigating Noisy Labels in Facial Expressions
Temporal Action Segmentation With High-Level Complex Activity labels
Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification
Temporally consistent hole filling method based on global optimization with label propagation for 3D video
Tensor Coupled Learning of Incomplete Longitudinal Features and labels for Clinical Score Regression
Text to Image for Multi-label Image Recognition With Joint Prompt-Adapter Learning
Texts as Images in Prompt Tuning for Multi-label Image Recognition
Texture Segmentation Using Topographic labels
Theory of Learning Unified Model via Knowledge Integration from label Space Varying Domains, A
Theory-Inspired Deep Multi-View Multi-label Learning with Incomplete Views and Noisy Labels
Theory-Inspired Deep Multi-View Multi-label Learning with Incomplete Views and Noisy Labels
Three-way decision-based label integration for crowdsourcing
Threshold optimisation for multi-label classifiers
TIM-Net: A multi-label classification network for TCM tongue images fusing global-local features
Time series cluster kernels to exploit informative missingness and incomplete label information
Time-Consistency Curriculum for Learning From Instance-Dependent Noisy labels, A
Time-Frequency Collaborative Learning for Imbalanced Ship Motion Data With Missing labels in Sea State Estimation
Tiny object detection based on dynamic scale-awareness label assignment and contextual enhancement
Tiny Object Detection via Normalized Gaussian label Assignment and Multi-Scale Hybrid Attention
TkML-AP: Adversarial Attacks to Top-k Multi-label Learning
TLWSR: Weakly supervised real-world scene text image super-resolution using text label
TMFF: Trustworthy Multi-Focus Fusion Framework for Multi-label Sewer Defect Classification in Sewer Inspection Videos
Token-label Alignment for Vision Transformers
Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification
Topology on Digital label Images
Topology-Preserving Multi-label Image Segmentation
Toward label-Efficient Emotion and Sentiment Analysis
Toward Robust Semi-Supervised Distribution Alignment Against label Distribution Shift With Noisy Annotations
Toward semantic content-based image retrieval using Dempster-Shafer theory in multi-label classification framework
Towards a Robust Differentiable Architecture Search under label Noise
Towards accurate dense pedestrian detection via occlusion-prediction aware label assignment and hierarchical-NMS
Towards Adaptive Pseudo-label Learning for Semi-supervised Temporal Action Localization
Towards Automated Transcription of label Text from Pinned Insect Collections
Towards better and unlinkable protected biometric templates using label-assisted discrete hashing
Towards Calibrated Multi-label Deep Neural Networks
Towards Data-Free Model Stealing in a Hard label Setting
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under label Insufficient Situations
Towards Effective Visual Representations for Partial-label Learning
Towards Enabling Binary Decomposition for Partial Multi-label Learning
Towards Generalizing to Unseen Domains with Few labels
Towards Gradient Equalization and Feature Diversification for Long-Tailed Multi-label Image Recognition
Towards Learning Image Similarity from General Triplet labels
Towards Learning Monocular 3D Object Localization from 2D labels Using the Physical Laws of Motion
Towards open-set text recognition via label-to-prototype learning
Towards Robust Learning with Different label Noise Distributions
Towards Semi-supervised Learning with Non-random Missing labels
Towards Specific Domain Prompt Learning via Improved Text label Optimization
Towards Tackling Multi-label Imbalances in Remote Sensing Imagery
Towards Unbiased label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian
Towards Unbiased Multi-label Zero-Shot Learning With Pyramid and Semantic Attention
Tracking without label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning
Training A Phase Detection Autofocus Model Using Hybrid labels
Training Methods of Multi-label Prediction Classifiers for Hyperspectral Remote Sensing Images
Training Robust Object Detectors From Noisy Category labels and Imprecise Bounding Boxes
Training with Corrupted labels to Reinforce a Probably Correct Teamsport Player Detector
Transductive Few-Shot Learning with Prototype-Based label Propagation by Iterative Graph Refinement
Transductive label Augmentation for Improved Deep Network Learning
transductive multi-label learning approach for video concept detection, A
Transductive Multi-label Zero-shot Learning
Transfer morphological features for segmentation with few labels on fluorescent mitochondria images
Transferable Deep Learning from Time Series of Landsat Data for National Land-Cover Mapping with Noisy labels: A Case Study of China
Transferable Generative Framework for Multi-label Zero-Shot Learning, A
Transferring CNNS to multi-instance multi-label classification on small datasets
Transformer Driven Matching Selection Mechanism for Multi-label Image Classification
Transformer-Augmented Network With Online label Correction for Facial Expression Recognition
Transformer-based Dual Relation Graph for Multi-label Image Recognition
Transformer-Based Image Inpainting Detection via label Decoupling and Constrained Adversarial Training
Transformer-driven feature fusion network and visual feature coding for multi-label image classification
Transporting labels via Hierarchical Optimal Transport for Semi-supervised Learning
Travel Information: Time to Drop the labels?
Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation
TripleNet: Exploiting Complementary Features and Pseudo-labels for Semi-Supervised Salient Object Detection
True-negative label selection for large-scale multi-label learning
True-negative label selection for large-scale multi-label learning
Trustable Co-label Learning From Multiple Noisy Annotators
Turin3D: Evaluating Adaptation Strategies Under label Scarcity in Urban Lidar Segmentation with Semi-Supervised Techniques
TV-based Multi-label Image Segmentation with Label Cost Prior
TV-based Multi-label Image Segmentation with Label Cost Prior
Twin Contrastive Learning with Noisy labels
TWIST: Two-Way Inter-label Self-Training for Semi-supervised 3D Instance Segmentation
Two Efficient label-Equivalence-Based Connected-Component Labeling Algorithms for 3-D Binary Images
Two stage architecture for multi-label learning
Two-phase Pseudo label Densification for Self-training Based Domain Adaptation
Two-Stage Conditional Random Field Model Based Framework for Multi-label Classification, A
Two-Stage Noise-Tolerant Paradigm for label Corrupted Person Re-Identification, A
Two-stage zero-shot sparse hashing with missing labels for cross-modal retrieval
Two-stream collaborative network for multi-label chest X-ray Image classification with lung segmentation
Two-Stream Dynamic Heterogeneous Graph Recurrent Neural Network for Multi-label Multi-Modal Emotion Recognition
Two-tier image annotation model based on a multi-label classifier and fuzzy-knowledge representation scheme
Two-Way Multi-label Loss
UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning
Unbiased Sample Selection and label Improvement for Mitigating Noisy Labels in Class-Imbalanced Datasets
Unbiased Sample Selection and label Improvement for Mitigating Noisy Labels in Class-Imbalanced Datasets
Uncertain label Correction via Auxiliary Action Unit Graphs for Facial Expression Recognition
Uncertainty-aware label Distribution Learning for Facial Expression Recognition
Uncertainty-Aware label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition
Uncertainty-Aware Local Bayesian Framework for Hyperspectral Image Classification With Noisy labels
Uncertainty-aware Pseudo label Refinery for Domain Adaptive Semantic Segmentation
Uncertainty-based Data-wise label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification
Uncertainty-Guided Metric Learning Without labels
Unconstrained Multimodal Multi-label Learning
Understanding and Improving Visual Prompting: A label-Mapping Perspective
Underwater bubble plume image generative model based on noise prior and multi conditional labels
Underwater Mine Classification with Imperfect labels
Undoing the Damage of label Shift for Cross-domain Semantic Segmentation
UNICON: Combating label Noise Through Uniform Selection and Contrastive Learning
Unified Contrastive Learning in Image-Text-label Space
unified low-order information-theoretic feature selection framework for multi-label learning, A
Unified Online Dictionary Learning Framework with label Information for Robust Object Tracking, A
Unified Open Adapter for Open-World Noisy label Learning: Data-Centric and Learning-Based Insights, A
Unimodal-Concentrated Loss: Fully Adaptive label Distribution Learning for Ordinal Regression
Unique Class Group Based Multi-label Balancing Optimizer for Action Unit Detection
Uniquely-Determined Thinning of the Tie-Zone Watershed Based on label Frequency
Unknown Class label Cleaning for Learning with Open-Set Noisy Labels
Unknown Class label Cleaning for Learning with Open-Set Noisy Labels
Unlearnable Clusters: Towards label-Agnostic Unlearnable Examples
Unleashing the Potential of Adaptation Models via Go-getting Domain labels
Unleashing the Potential of Hierarchical Region Clues for Open-Vocabulary Multi-label Classification
Unraveling the Mysteries of label Noise in Source-Free Domain Adaptation: Theory and Practice
Unsupervised 3D Object Detection Domain Adaptation Based on Pseudo-label Variance Regularization
Unsupervised Assignment Flow: label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment
Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-label-Guided Global Transforms
Unsupervised Cross-Domain Polarimetric Synthetic Aperture Radar (PolSAR) Change Monitoring Based on Limited-label Transfer Learning and Vision Transformer
Unsupervised Deep Hashing with Dynamic Pseudo-Multi-labels for Image Retrieval
Unsupervised Deep Hashing With Pseudo labels for Scalable Image Retrieval
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo label Self-Refinement
Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and label Spaces
Unsupervised Domain Adaptation With label and Structural Consistency
Unsupervised Domain Adaptive Object Detection with Class label Shift Weighted Local Features
Unsupervised Embedding Learning by Noisy Similarity label Optimization
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal label Diffusion
Unsupervised Image Manipulation Localization With Non-Binary label Attribution
Unsupervised Joint Mining of Deep Features and Image labels for Large-Scale Radiology Image Categorization and Scene Recognition
Unsupervised label Learning on Manifolds by Spatially Regularized Geometric Assignment
Unsupervised person re-identification by part-compensated soft multi-label learning
Unsupervised Person Re-Identification via Multi-label Classification
Unsupervised Person Re-Identification via Multi-label Classification
Unsupervised person re-identification with multi-label learning guided self-paced clustering
Unsupervised PolSAR Image Classification Based on Superpixel Pseudo-labels and a Similarity-Matching Network
Unsupervised Salient Object Detection on Light Field With High-Quality Synthetic labels
Unveiling the Effects of Slightly Skewed labels on Traffic Data Analysis
UPL-SFDA: Uncertainty-Aware Pseudo label Guided Source-Free Domain Adaptation for Medical Image Segmentation
USD: Uncertainty-Based One-Phase Learning to Enhance Pseudo-label Reliability for Semi-Supervised Object Detection
Use All The labels: A Hierarchical Multi-Label Contrastive Learning Framework
Use All The labels: A Hierarchical Multi-Label Contrastive Learning Framework
User attribute discovery with missing labels
User-adaptive image retrieval via fusing pointwise and pairwise labels
Using Coarse label Constraint for Fine-Grained Visual Classification
Using K-Means-Derived Pseudo-labels and Machine Learning Classification on Sentinel-2 Imagery to Delineate Snow Cover Ratio and Snowline Altitude: A Case Study on White Glacier from 2019 to 2024
Using Meta labels for the Training of Weighting Models in a Sample-Specific Late Fusion Classification Architecture
Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study
Using Unreliable Pseudo-labels for Label-Efficient Semantic Segmentation
Using Unreliable Pseudo-labels for Label-Efficient Semantic Segmentation
Variational label Enhancement
Variational label Enhancement for Instance-Dependent Partial Label Learning
Variational label Enhancement for Instance-Dependent Partial Label Learning
Variational Rectification Inference for Learning with Noisy labels
VConv-DAE: Deep Volumetric Shape Learning Without Object labels
Vehicle Re-identification Based on Unsupervised Domain Adaptation by Incremental Generation of Pseudo-labels
Vicinal Gaussian Transform: Rethinking Source-Free Domain Adaptation Through Source-Informed label Consistency
Video Event Detection by Inferring Temporal Instance labels
Video Generation From Single Semantic label Map
Video Representation Fusion Network For Multi-label Movie Genre Classification
View-Category Interactive Sharing Transformer for Incomplete Multi-View Multi-label Learning
View-to-label: Multi-view consistency for self-supervised monocular 3D object detection
Views Meet labels: Personalized Relation Refinement Network for Multiview Multilabel Learning
Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction With Extremely Limited labels
Virtual Post-its: Visual label Extraction, Attachment, and Tracking for Teleconferencing
VirtualHome Action Genome: A Simulated Spatio-Temporal Scene Graph Dataset with Consistent Relationship labels
Visible-Infrared Person Re-Identification With Real-World label Noise
Vision Based Metal Spectral Analysis Using Multi-label Classification
Vision-Language Pseudo-labels for Single-Positive Multi-Label Learning
Vision-Language Pseudo-labels for Single-Positive Multi-Label Learning
Vision-Semantics-label: A New Two-Step Paradigm for Action Recognition With Large Language Model
VisionArena: 230K Real World User-VLM Conversations with Preference labels
Visual Attention Consistency Under Image Transforms for Multi-label Image Classification
Visual BMI estimation from face images using a label distribution based method
Visual Learning With Limited labels: Zero-Shot, Few-Shot, Any-Shot, and Cross-Domain Few-Shot Learning
Visual Relationship Prediction via label Clustering and Incorporation of Depth Information
Visual Saliency Guided Gaze Target Estimation with Limited labels
Visual Transformers with Primal Object Queries for Multi-label Image Classification
VLM-CPL: Consensus Pseudo-labels From Vision-Language Models for Annotation-Free Pathological Image Classification
Voronoi Density-Based Locally Unique Network for Fine-Grained Multi-label Classification, A
W-Penalty and Its Application to Alpha Matting with Sparse labels, The
Walking and talking: A bilinear approach to multi-label action recognition
Wallpaper Texture Generation and Style Transfer Based on Multi-label Semantics
Wasserstein Adversarial Regularization for Learning With label Noise
Weak label for fast online visual tracking
Weakly labeled fine-grained classification with hierarchy relationship of fine and coarse labels
weakly supervised approach for object detection based on Soft-label Boosting, A
Weakly supervised brain tumour segmentation with label propagation and level set loss
Weakly Supervised Cell-Instance Segmentation with Two Types of Weak labels by Single Instance Pasting
Weakly Supervised Classification of Remotely Sensed Imagery Using label Constraint and Edge Penalty
Weakly Supervised Fine label Classifier Enhanced by Coarse Supervision, A
Weakly Supervised Image Classification with Coarse and Fine labels
Weakly supervised image parsing via label propagation over discriminatively semantic graph
Weakly supervised label distribution learning based on transductive matrix completion with sample correlations
Weakly Supervised Learning Framework for Salient Object Detection via Hybrid labels, A
Weakly Supervised Object Detection for Aerial Images With Instance-Aware label Assignment
Weakly Supervised Patch label Inference Networks for Efficient Pavement Distress Detection and Recognition in the Wild
Weakly Supervised Representation Learning with Coarse labels
Weakly Supervised SAR Ship Oriented-Detection Algorithm Based on Pseudo-label Generation Optimization and Guidance
Weakly Supervised Segmentation of Small Buildings with Point labels
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer labels
Weakly supervised semantic segmentation of SAR images via multi-level pseudo-label fusion
Weakly Supervised Solar Panel Mapping via Uncertainty Adjusted label Transition in Aerial Images
Weakly Supervised Tracklet Association Learning With Video labels for Person Re-Identification
Weakly-Supervised Semantic Segmentation by Learning label Uncertainty
Weakly-supervised Semantic Segmentation with Image-level labels: From Traditional Models to Foundation Models
Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-labels Using Localization With a Classifier and Thresholding
Web and Personal Image Annotation by Mining label Correlation With Relaxed Visual Graph Embedding
Weight matrix sharing for multi-label learning
Weighted Contrastive Prototype Network for Few-Shot Hyperspectral Image Classification with Noisy labels
Weighting Pseudo-labels via High-activation Feature Index Similarity and Object Detection for Semi-supervised Segmentation
Weighting scheme for a pairwise multi-label classifier based on the fuzzy confusion matrix
Well-calibrated confidence measures for multi-label text classification with a large number of labels
Well-calibrated confidence measures for multi-label text classification with a large number of labels
WeStcoin: Weakly-Supervised Contextualized Text Classification with Imbalance and Noisy labels
What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer labels
What is optimized in tight convex relaxations for multi-label problems?
What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations
When Invariant Representation Learning Meets label Shift: Insufficiency and Theoretical Insights
When Noisy labels Meet Long Tail Dilemmas: A Representation Calibration Method
Where to Place: A Real-Time Visual Saliency Based label Placement for Augmented Reality Applications
Which images to label for few-shot medical landmark detection?
Which Pixel to Annotate: A label-Efficient Nuclei Segmentation Framework
Wholly-WOOD: Wholly Leveraging Diversified-Quality labels for Weakly-Supervised Oriented Object Detection
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy labels?
Wind turbine fault prediction using soft label SVM
Winter Wheat Mapping Method Based on Pseudo-labels and U-Net Model for Training Sample Shortage
WISH: Weakly Supervised Instance Segmentation using Heterogeneous labels
WISNet: Pseudo label Generation on Unbalanced and Patch Annotated Waste Images
WITS: Weakly-supervised individual tooth segmentation model trained on box-level labels
Would a Simple Res-UNet Unsupervised Domain Adaptation Solve DubaiSat2 Delineated labels?
WS-SAM: Generalizing SAM to Weakly Supervised Object Detection With Category label
YolOOD: Utilizing Object Detection Concepts for Multi-label Out-of-Distribution Detection
YOLOv11-MDD: YOLOv11 in an Encoder-Decoder Architecture for Multi-label Post-Wildfire Damage Detection: A Case Study of the 2023 US and Canada Wildfires
You only label once: A self-adaptive clustering-based method for source-free active domain adaptation
Zero-guidance Segmentation Using Zero Segment labels
Zero-Shot Facial Expression Recognition with Multi-label Label Propagation
Zero-Shot Facial Expression Recognition with Multi-label Label Propagation
Zero-Shot Learning in the Presence of Hierarchically Coarsened labels
Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and label Refinement
Zero-shot multi-label learning via label factorisation
Zero-shot multi-label learning via label factorisation
Zero-Shot Object Recognition Using Semantic label Vectors
Zero-Shot Pseudo labels Generation Using Sam and Clip for Semi-Supervised Semantic Segmentation
Zero-shot temporal event localisation: label-free, training-free, domain-free
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image labels
2693 for label

_label2label_
label2label: A Language Modeling Framework for Multi-attribute Learning

_labeldistill_
labeldistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3d Object Detection

_labeled_
3D Hand Pose Estimation Using Synthetic Data and Weakly labeled RGB Images
3D Spatial Recognition without Spatially labeled 3D
AC-WGAN-GP: Generating labeled Samples for Improving Hyperspectral Image Classification with Small-Samples
Action Duration Prediction for Segment-Level Alignment of Weakly-labeled Videos
Active privileged learning of human activities from weakly labeled samples
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated labeled Data
Adversarial Representation Learning for Hyperspectral Image Classification with Small-Sized labeled Set
Adversarial Semi-supervised domain adaptation for semantic segmentation: A new role for labeled target samples
Agreement Between Saliency Maps and Human-labeled Regions of Interest: Applications to Skin Disease Classification
Algorithm for the Design of labeled-Transition Finite-State Vector Quantizers, An
Algorithms for the constrained editing distance between ordered labeled trees and related problems
All-in-focus with directional-max-gradient flow and labeled iterative depth propagation
AllSpark: Reborn labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
Anti-noise face: A resilient model for face recognition with labeled noise data
Automatic action annotation in weakly labeled videos
Automatic analysis of flourescence labeled neurites in microscope images
Autonomous Planned Color Learning on a Mobile Robot Without labeled Data
BEM-RCNN Segmentation Based on the Inadequately labeled Moving Mesenchymal Stem Cells
Boundary as the Bridge: Toward Heterogeneous Partially-labeled Medical Image Segmentation and Landmark Detection
BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully labeled CT Images
Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited labeled Data
Classification of Point Clouds for Indoor Components Using Few labeled Samples
Classification of Weakly-labeled Data with Partial Equivalence Relations
Classify Broiler Viscera Using an Iterative Approach on Noisy labeled Training Data
Co-Labeling for Multi-View Weakly labeled Learning
Coarse-to-Fine Contrastive Self-Supervised Feature Learning for Land-Cover Classification in SAR Images With Limited labeled Data
Coarsely-labeled Data for Better Few-shot Transfer
CoLo-CAM: Class activation mapping for object co-localization in weakly-labeled unconstrained videos
Combine unlabeled with labeled MR images to measure acute ischemic stroke lesion by stepwise learning
Computer aided endoscope diagnosis via weakly labeled data mining
ConceptLearner: Discovering visual concepts from weakly labeled image collections
Constrained Edit Distance between Unordered labeled Trees, A
Constrained Minimum Cut for Classification Using labeled and Unlabeled Data
Constrained Sensor Control for labeled Multi-Bernoulli Filter Using Cauchy-Schwarz Divergence
Construction of labeled Line-Drawings from Intensity Images, The
Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially labeled Data
Copycat CNN: Are random non-labeled data enough to steal knowledge from black-box models?
COSST: Multi-Organ Segmentation With Partially labeled Datasets Using Comprehensive Supervisions and Self-Training
CR Chisto labeled Nuclei Dataset
Crop Classification Based on GDSSM-CNN Using Multi-Temporal RADARSAT-2 SAR with Limited labeled Data
Crowd Counting From Limited labeled Data Using Active Learning
Data Augmentation With Regularization for Multi-labeled Complementary Label Learning
DatasetGAN: Efficient labeled Data Factory with Minimal Human Effort
Deep domain adaptation with ordinal regression for pain assessment using weakly-labeled videos
Deep Facial Action Unit Recognition from Partially labeled Data
Deep Learning Applications on Multitemporal SAR (Sentinel-1) Image Classification Using Confined labeled Data: The Case of Detecting Rice Paddy in South Korea
Deep Learning Approach for Paddy Field Detection Using labeled Aerial Images: The Case of Detecting and Staging Paddy Fields in Central and Southern Taiwan
Deep Learning Network Intensification for Preventing Noisy-labeled Samples for Remote Sensing Classification
Deep Mutual Learning Among Partially labeled Datasets for Multi-Organ Segmentation
Degree Reduction in labeled Graph Retrieval
Deriving a discriminative color model for a given object class from weakly labeled training data
Design of Orientation Assessment Functions for Gestalt-grouping Utilizing labeled Sample-data
Detecting abnormal fish trajectories using clustered and labeled data
Detecting and Tracking the Tips of Fluorescently labeled Mitochondria in U2OS Cells
Determination of Face Position and Pose with a Learned Representation Based on labeled Graphs
Dictionary Learning from Ambiguously labeled Data
Discriminative dictionary pair learning from partially labeled data
Discriminative Segment Annotation in Weakly labeled Video
Distance for Partially labeled Trees, A
distance measure between labeled combinatorial maps, A
DistInit: Learning Video Representations Without a Single labeled Video
Distributed Fusion of labeled Multi-Bernoulli Filters Based on Arithmetic Average
Do More With What You Have: Transferring Depth-Scale from labeled to Unlabeled Domains
DoDNet: Learning to Segment Multi-Organ and Tumors from Multiple Partially labeled Datasets
Domain Invariant Feature Learning Based on Cluster Contrastive Learning for Intelligence Fault Diagnosis With Limited labeled Data
Domain-Specific Bias Filtering for Single labeled Domain Generalization
Double linear regressions for single labeled image per person face recognition
Drop Loss for Person Attribute Recognition With Imbalanced Noisy-labeled Samples
DSG-PL: ROI Extraction Based on Dual Saliency Guided Progressive Learning for Weakly labeled Remote Sensing Images
Dual-channel embedding learning model for partially labeled attributed networks
Early labeled and Small Loss Selection Semi-Supervised Learning Method for Remote Sensing Image Scene Classification
edge-preservation similarity for comparing rooted, unordered, node-labeled trees, The
Effectiveness of Semi-Supervised Learning and Multi-Source Data in Detailed Urban Landuse Mapping with a Few labeled Samples
Efficient Object Localization and Segmentation in Weakly labeled Videos
Estimation of Face Position and Pose with labeled Graphs
Exmatch: Self-Guided Exploitation for Semi-Supervised Learning with Scarce labeled Samples
Expanding diagnostically labeled datasets using content-based image retrieval
Exploring Weakly labeled Images for Video Object Segmentation With Submodular Proposal Selection
Fast and Robust Sparse Approach for Hyperspectral Data Classification Using a Few labeled Samples, A
Feature2Mass: Visual Feature Processing in Latent Space for Realistic labeled Mass Generation
Few-Shot Object Recognition from Machine-labeled Web Images
framework based on local cores and synthetic examples generation for self-labeled semi-supervised classification, A
Gamesourcing to acquire labeled human pose estimation data
Gaussian Distributed Graph Constrained Multi-Modal Gaussian Process Latent Variable Model for Ordinal labeled Data
Generalized labeled Multi-Bernoulli Filter Based on Track-before-Detect Measurement Model for Multiple-Weak-Target State Estimate Using Belief Propagation, A
Generalized labeled Multi-Bernoulli Multi-Target Tracking with Doppler-Only Measurements
Generalized Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by labeled Target Data
Generating Synthetic labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation
GPLAC: Generalizing Vision-Based Robotic Skills Using Weakly labeled Images
Graph Construction Based on labeled Instances for Semi-supervised Learning
Graph-based boosting algorithm to learn labeled and unlabeled data
Grouping as a Searching Process for Minimum-Energy Configurations of labeled Random-Fields
Grouping of Rectilinear Segments by the labeled Hough Transform
Hallucinating A Cleanly labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN
Hallucinating A Cleanly labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN
HandSeg: An Automatically labeled Dataset for Hand Segmentation from Depth Images
HandsOff: labeled Dataset Generation With No Additional Human Annotations
Hidden Markov models for labeled sequences
hierarchical labeled object classification system, A
Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-labeled Instructional Videos
High-Resolution Spatial and Time-Series labeled Unmanned Aerial Vehicle Image Dataset for Middle-Season Rice, A
Hybrid Fusion Based Approach for Multimodal Emotion Recognition with Insufficient labeled Data
Hybrid Recognition Scheme Based on Partially labeled SOM and MLP, A
Hypergraph Matching labeled Multi-Bernoulli Filter for Group Targets Tracking, A
I-ME: iterative model evolution for learning from weakly labeled images and videos
I-SOCIAL-DB: A labeled database of images collected from websites and social media for Iris recognition
Identifying relevant frames in weakly labeled videos for training concept detectors
Injecting Text Clues for Improving Anomalous Event Detection From Weakly labeled Videos
Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams
Instance-Level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval
Interaction-Aware labeled Multi-Bernoulli Filter
Is Temporal Prompting All We Need for Limited labeled Action Recognition?
Joint-Task Regularization for Partially labeled Multi-Task Learning
Kernel Supervised Ensemble Classifier for the Classification of Hyperspectral Data Using Few labeled Samples
Label-Related/Unrelated Topic Switching Model: A Partially labeled Topic Model Handling Infinite Label-Unrelated Topics
labeled bunch graphs for image analysis
labeled Data Selection for Category Discovery
labeled dataset for integral evaluation of moving object detection algorithms: LASIESTA
labeled faces in the wild: A database for studying face recognition in unconstrained environments
labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting
labeled Graph Kernel for Behavior Analysis
labeled Graphs and Dynamic Link Matching for Face Recognition and Scene Analysis
labeled Intermediate Domain Aided Two-Domain Correlation Fusion for Mismatched Steganalysis, A
labeled Multi-Bernoulli SLAM Filter, The
labeled Multiple Canonical Correlation Analysis for Information Fusion, The
labeled Point Pattern Matching by Delaunay Triangulation and Maximal Cliques
labeled Point Pattern Matching by Fuzzy Relaxation
labeled random finite set online multi-object tracker for video data, A
Laplacian Margin Distribution Boosting for Learning from Sparsely labeled Data
large-scale solar image dataset with labeled event regions, A
Latent structural SVM with marginal probabilities for weakly labeled structured learning
Latent SVM for Object Localization in Weakly labeled Videos
LCrowdV: Generating labeled Videos for Simulation-Based Crowd Behavior Learning
Learned Model Composition With Critical Sample Look-Ahead for Semi-Supervised Learning on Small Sets of labeled Samples
Learning 3D Part Detection from Sparsely labeled Data
Learning 3D Representation From Auto-labeled 2D Object Boxes
Learning and Recognition of On-Premise Signs From Weakly labeled Street View Images
Learning aspect models with partially labeled data
Learning Bayesian network classifiers for facial expression recognition using both labeled and unlabeled data
Learning by Associating Ambiguously labeled Images
Learning Category-Specific 3D Shape Models from Weakly labeled 2D Images
Learning class probabilities from labeled data
Learning discriminative dictionaries with partially labeled data
Learning discriminative localization from weakly labeled data
Learning from a single labeled face and a stream of unlabeled data
Learning from Ambiguously labeled Face Images
Learning from ambiguously labeled images
Learning from labeled and Unlabeled Data Using Random Walks
Learning from massive noisy labeled data for image classification
Learning From Partially labeled Data for Multi-Organ and Tumor Segmentation
Learning from weakly labeled faces and video in the wild
Learning from Weakly-labeled Clinical Data for Automatic Thyroid Nodule Classification in Ultrasound Images
Learning High-level Features for Satellite Image Classification With Limited labeled Samples
Learning Shape-Appearance Based Attributes Representation for Facial Attribute Recognition with Limited labeled Data
Learning Spatial-Semantic Relationship for Facial Attribute Recognition with Limited labeled Data
Learning Temporal Sequence Model from Partially labeled Data
Learning to Count from Pseudo-labeled Segmentation
Learning to Count in the Crowd from Limited labeled Data
Learning to Learn From Noisy labeled Data
Learning with imperfectly labeled patterns
Leveraging Large-Scale Weakly labeled Data for Semi-Supervised Mass Detection in Mammograms
LG-Tree: An Efficient labeled Index for Shortest Distance Search on Massive Road Networks
link-analysis-based discriminant analysis for exploring partially labeled graphs, A
Localizing Anomalies From Weakly-labeled Videos
Many birds, one stone: Medical image segmentation with multiple partially labeled datasets
Me-Momentum: Extracting Hard Confident Examples from Noisily labeled Data
MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-labeled Visual Recognition
Minimizing labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation
mining scene understanding framework with limited labeled samples jointly driven by object-level spatial relationships and multi-task network, A
mixture model and EM-based algorithm for class discovery, robust classification, and outlier rejection in mixed labeled/unlabeled data sets, A
MMP-2k: A Benchmark Multi-labeled Macro Photography Image Quality Assessment Database
Motion Simulation of Radio-labeled Cells in Whole-Body Positron Emission Tomography
Multi-Organ Segmentation Over Partially labeled Datasets With Multi-Scale Feature Abstraction
Multi-resolution volumetric reconstruction using labeled regions
multilevel approach for learning from labeled and unlabeled data on graphs, A
Multiple Instance Metric Learning from Automatically labeled Bags of Faces
Multiview, Few-labeled Object Categorization by Predicting Labels With View Consistency
Mutually Supervised Learning via Interactive Consistency for Geographic Object Segmentation from Weakly labeled Remote Sensing Imagery
Near-Lossless Image Compression by Relaxation labeled Prediction
Neighbour-based Domain Adaptation for Investigation of Transferable Ability of Previously labeled Data for Land-cover Classification Of Aerial Images
New Benchmark: Clinical Uncertainty and Severity Aware labeled Chest X-Ray Images With Multi-Relationship Graph Learning, A
Non-linear dictionary learning with partially labeled data
Non-parametric discretization for probabilistic labeled data
Nonlinear Dimension Reduction and Visualization of labeled Data
Novel Technique Based on the Combination of labeled Co-Occurrence Matrix and Variogram for the Detection of Built-up Areas in High-Resolution SAR Images, A
O(N) Computation of Projections and Moments from the labeled Skeleton
Object localization in weakly labeled data using regularized attention networks
Object Localization in Weakly labeled Remote Sensing Images Based on Deep Convolutional Features
On applying linear discriminant analysis for multi-labeled problems
On the Topological Disparity Characterization of Square-Pixel Binary Image Data by a labeled Bipartite Graph
Open-Set Domain Adaptation Under Few Source-Domain labeled Samples
Optimization of Robust Loss Functions for Weakly-labeled Image Taxonomies
Optimization of Robust Loss Functions for Weakly-labeled Image Taxonomies: An ImageNet Case Study
PAT: Probabilistic Axon Tracking for Densely labeled Neurons in Large 3-D Micrographs
Pedestrian detection using labeled depth data
Propagation Regularizer for Semi-supervised Learning with Extremely Scarce labeled Samples
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data
Quenching Points in Distance labeled Pictures
Querying labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation
Real-Time Shape Analysis of a Human Body in Clothing Using Time-Series Part-labeled Volumes
Reducing correspondence ambiguity in loosely labeled training data
Reducing noisy labels in weakly labeled data for visual sentiment analysis
Relative Value of labeled and Unlabeled Samples in Pattern-Recognition with an Unknown Mixing Parameter, The
Replacing labeled Real-image Datasets with Auto-generated Contours
Representation of Figures by labeled Graphs
Road Extraction from Very High Resolution Images Using Weakly labeled OpenStreetMap Centerline
Robust Medical Image Classification From Noisy labeled Data With Global and Local Representation Guided Co-Training
SegHSI: Semantic Segmentation of Hyperspectral Images With Limited labeled Pixels
Segmentation in Weakly labeled Videos via a Semantic Ranking and Optical Warping Network
Segmentation of Vasculature From Fluorescently labeled Endothelial Cells in Multi-Photon Microscopy Images
Segmenting Objects in Weakly labeled Videos
Self-Labeling Framework for Open-Set Domain Adaptation With Few labeled Samples
Self-Supervised Contrastive Framework for Specific Emitter Identification with Limited labeled Data, A
Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images with Minimal labeled Data
Self-supervised Learning for Fine-grained Ethnicity Classification under Limited labeled Data
Self-Supervised Learning for Texture Classification Using Limited labeled Data
Semantic object segmentation via detection in weakly labeled video
Semantic-Oriented labeled-to-Unlabeled Distribution Translation for Image Segmentation
Semi-self-supervised Learning Approach for Wheat Head Detection using Extremely Small Number of labeled Samples, A
Semi-supervised action recognition in video via labeled Kernel Sparse Coding and sparse L1 graph
Semi-supervised Domain Adaptation for Weakly labeled Semantic Video Object Segmentation
Semi-Supervised Learning for Sparsely-labeled Sequential Data: Application to Healthcare Video Processing
Semi-Supervised Multi-Scale Convolutional Neural Network for Hyperspectral Image Classification with Limited labeled Samples, A
Semi-Supervised Ranking for Re-identification with Few labeled Image Pairs
Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient labeled Samples
Sentence boundary detection in conversational speech transcripts using noisily labeled examples
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited labeled Data
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially labeled Data
simple graph embedding for anomaly detection in a stream of heterogeneous labeled graphs, A
Simultaneous semantic segmentation of a set of partially labeled images
Skeletonization of labeled gray-tone images
Small-Sized Ship Detection Nearshore Based on Lightweight Active Learning Model with a Small Number of labeled Data for SAR Imagery
SnapshotNet: Self-supervised feature learning for point cloud data segmentation using minimal labeled data
Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small labeled Datasets
Soft Curriculum for Learning Conditional GANs with Noisy-labeled and Uncurated Unlabeled Data
soft-labeled self-training approach, A
Sparse Representation Based Face Recognition with Limited labeled Samples
Sparsely-labeled source assisted domain adaptation
Spatiotemporal distribution of labeled data can bias the validation and selection of supervised learning algorithms: A marine remote sensing example
SPFTN: A Joint Learning Framework for Localizing and Segmenting Objects in Weakly labeled Videos
SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited labeled Data
Statistical Analysis of Cortical Morphometrics Using Pooled Distances Based on labeled Cortical Distance Maps
Statistical analysis of ground truth in human labeled data
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-labeled Unconstrained Videos
Teacher Supervises Students How to Learn From Partially labeled Images for Facial Landmark Detection
Text Recognition in Real Scenarios with a Few labeled Samples
Time series feature learning with labeled and unlabeled data
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization With Few labeled Samples
Toward the labeled Segmentation of Natural Images Using Rough-Set Rules
Towards Interactive Generation of Ground-truth in Background Subtraction from Partially labeled Examples
Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos
Training Object Detection Models with Weakly labeled Data
Training object detectors from few weakly-labeled and many unlabeled images
Training Strategy for Limited labeled Data by Learning from Confusion
Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited labeled Data
Transferring a labeled Generic Rig to Animate Face Models
TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One labeled Instance
Type-2 fuzzy labeled latent Dirichlet allocation for human action categorization
Uncertainty-aware iterative learning for noisy-labeled medical image segmentation
Unifying Probabilistic Framework for Partially labeled Data Learning, A
Unitopatho, A labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading
Unlocking the Potential of Weakly labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation
Unsupervised labeled Lane Markers Using Maps
Vehicle Type Recognition in Surveillance Images From labeled Web-Nature Data Using Deep Transfer Learning
Visual multi-object tracking with re-identification and occlusion handling using labeled random finite sets
Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots
Weakly labeled fine-grained classification with hierarchy relationship of fine and coarse labels
Weakly Supervised Learning with Side Information for Noisy labeled Images
Weed Species Identification: Acquisition, Feature Analysis, and Evaluation of a Hyperspectral and RGB Dataset with labeled Data
WeLSA: Learning to Predict 6D Pose from Weakly labeled Data Using Shape Alignment
Young labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition
271 for label

_labelenc_
labelenc: A New Intermediate Supervision Method for Object Detection

_labeler_
DG-labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo labelers
Learning from multiple annotators: Distinguishing good from random labelers
Multi-labeler Classification Using Kernel Representations and Mixture of Classifiers
Robust Statistical Label Fusion Through Consensus Level, labeler Accuracy, and Truth Estimation (COLLATE)
Vision Transformers are Good Mask Auto-labelers

_labelface_
labelfaces: Parsing facial features by multiclass labeling with an epitome prior

_labeling_
2000-fps multi-object extraction based on cell-based labeling
3-D aggregated object detection and labeling from multivariate confocal microscopy images: A model validation approach
3D biological object detection and labeling in multidimensional microscopy imaging
3D Facade labeling over Complex Scenarios: A Case Study Using Convolutional Neural Network and Structure-From-Motion
3D Face Recognition Using Two Views Face Modeling and labeling
3D Geometry-Aware Semantic labeling of Outdoor Street Scenes
3D interpretation system based on consistent labeling of a set of propositions. Application to the interpretation of straight line correspondences, A
3D Model-Based Sematic labeling of 2D Objects
3D segmentation and labeling of fractured bone from CT images
3D Semantic labeling of Photogrammetry Meshes Based on Active Learning
3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-labeling
: A Large-Scale Benchmark for Rib labeling and Anatomical Centerline Extraction
Accelerated Connected Component labeling Using CUDA Framework
Acceleration of Thresholding and labeling Operations Through Geometric Processing of Gray-level Images
Accurate semantic image labeling by fast Geodesic Propagation
Action Similarity labeling Challenge, The
Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing
Active Image labeling and Its Application to Facial Action Labeling
Active Image labeling and Its Application to Facial Action Labeling
Active Image Synthesis for Efficient labeling
Active Learning Based 3D Semantic labeling From Images and Videos
Active Learning for Regression With Correlation Matching and labeling Error Suppression
Active learning with uncertain labeling knowledge
AdaPL: Adaptive Pseudo labeling for deep active learning in image classification
Adapted Connected Component labeling for Clustering Non-planar Objects From Airborne Lidar Point Cloud, An
Adaptive document segmentation and geometric relation labeling: algorithms and experimental results
Adaptive labeling For Hash Code Learning Via Neural Networks
Adaptive Relaxation labeling
Adaptive Step-Edge Model for Self-Consistent Training of Neural-Network for Probabilistic Edge labeling
Addressing Inconsistent labeling With Cross Image Matching for Scribble-Based Medical Image Segmentation
ADeLA: Automatic Dense labeling with Attention for Viewpoint Shift in Semantic Segmentation
Admissibility of Constraint Functions in Relaxation labeling
Advanced Financial Data Processing and labeling Methods for Machine Learning
Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-Wise Pseudo labeling
Affective labeling in a Content-Based Recommender System for Images
AGMN: Association graph-based graph matching network for coronary artery semantic labeling on invasive coronary angiograms
Aid-Appeal: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment labeling
Algorithms for connected component labeling based on quadtrees
Algorithms for Image Component labeling on SIMD Mesh-Connected Computers
ALPS: An Auto-labeling and Pre-Training Scheme for Remote Sensing Segmentation With Segment Anything Model
Ambiguity Reduction by Relaxation labeling
Ambiguity reduction in speaker identification by the relaxation labeling process
Analysis and interpretation of visual saliency for document functional labeling
Analysis of Probabilistic Relaxation labeling Processes
Anatomical labeling of the Circle of Willis Using Maximum A Posteriori Probability Estimation
Application of CRF and SVM based semi-supervised learning for semantic labeling of environments
Application of Line labeling and Other Scene-Analysis Techniques to the Problem of Hidden-Line Removal, An
Application of Relaxation labeling to Line and Curve Enhancement, An
Approximate labeling via Graph Cuts Based on Linear Programming
AR-plant: AR-based semi-automatic labeling system for 3D plant organs
Arterial spin labeling at ultra-high field: All that glitters is not gold
Arterial Spin labeling Images Synthesis From sMRI Using Unbalanced Deep Discriminant Learning
Artery Skeleton Extraction Using Topographic and Connected Component labeling
ASELMAR: Active and semi-supervised learning-based framework to reduce multi-labeling efforts for activity recognition
Ask'nSeek: A New Game for Object Detection and labeling
Assignment Manifold: A Smooth Model for Image labeling, The
Assisted Video Object labeling By Joint Tracking of Regions and Keypoints
Asymmetric Cuts: Joint Image labeling and Partitioning
Asymptotic Feature Pyramid Network for labeling Pixels and Regions
Atlas-Guided Multi-channel Forest Learning for Human Brain labeling
Augmented Relaxation labeling and Dynamic Relaxation Labeling
Augmented Relaxation labeling and Dynamic Relaxation Labeling
Augmenting CRFs with Boltzmann Machine Shape Priors for Image labeling
Autoassociative Learning in Relaxation labeling Networks
Automated anatomical labeling of the bronchial branch and its application to the virtual bronchoscopy system
Automated labeling of Materials in Hyperspectral Imagery
Automated labeling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks
Automated Object labeling for CNN-Based Image Segmentation
Automated Spatial-Semantic Modeling with Applications to Place labeling and Informed Search
Automatic facial landmark labeling with minimal supervision
Automatic Ghost Noise labeling for 4D mmWave Radar Data in Underground Mine Environments Using LiDAR as Reference
Automatic labeling and classification of brain CT images
Automatic labeling for Scene Text Database
Automatic labeling of Colonoscopy Video for Cancer Detection
Automatic labeling of Handwritten Mathematical Symbols via Expression Matching
Automatic labeling of large amounts of handwritten characters with gate-guided dynamic deep learning
Automatic Player Detection, labeling and Tracking in Broadcast Soccer Video
Automatic Raft labeling for Remote Sensing Images via Dual-Scale Homogeneous Convolutional Neural Network
Automatic segmentation of moving objects in video sequences: A region labeling approach
Automatic Segmentation of the Spinal Cord and Spinal Canal Coupled With Vertebral labeling
Automatic Template labeling in Extensible Multiagent Biometric Systems
Automatic Tracking and labeling of Human Activities in a Video Sequence
Automatically labeling video data using multi-class active learning
Background Estimation as a labeling Problem
Background Robust Object labeling by Voting of Weight-Aggregated Local Features
Badly Posed Classification of Remotely Sensed Images: An Experimental Comparison of Existing Data labeling Systems
Bayesian MRF Framework for labeling Terrain Using Hyperspectral Imaging, A
Bayesian-Competitive Consistent labeling for People Surveillance
Beat the MTurkers: Automatic Image labeling from Weak 3D Supervision
Belief Propagation Reloaded: Learning BP-Layers for labeling Problems
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-labeling, Human Correction, and Human Verification
Beyond Maximum Independent Set: An Extended Integer Programming Formulation for Point labeling
Beyond the Line of Sight: labeling the Underlying Surfaces
Bi-directional gradient labeling and registration for gray-scale image segmentation
Bidirectional labeling and Registration Scheme for Grayscale Image Segmentation
blockwise relaxation labeling scheme and its application to edge detection in cardiac MR image sequences, A
Boosting LiDAR-Based Semantic labeling by Cross-modal Training Data Generation
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo labeling and Informative Active Annotation
Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch labeling, A
Bounded labeling Function for Global Segmentation of Multi-part Objects with Geometric Constraints
BP)2: Beyond pairwise Belief Propagation labeling by approximating Kikuchi free energies
BUBL: An effective region labeling tool using a hexagonal lattice
CalliGUI: Interactive labeling of Calligraphic Character Images
Candy Cane: Breast Cancer Pixel-Wise labeling with Fully Convolutional Densenets
Cardiac Cavity labeling In Echocardiograms Using Deformable Model-Guided Splitting
Carotid Lumen Diameter and Intima-Media Thickness Measurement via Boundary-Guided Pseudo-labeling
cascaded nested network for 3T brain MR image segmentation guided by 7T labeling, A
Category Modeling from Just a Single labeling: Use Depth Information to Guide the Learning of 2D Models
Change Detection from Remote Sensing to Guide OpenStreetMap labeling
Characterization of Pulmonary Nodules in Computed Tomography Images Based on Pseudo-labeling Using Radiology Reports
Class Balanced Adaptive Pseudo labeling for Federated Semi-Supervised Learning
Class-Balanced Pixel-Level Self-labeling for Domain Adaptive Semantic Segmentation
Class-Driven Color Transformation for Semantic labeling
Clip4Retrofit: Enabling Real-Time Image labeling on Edge Devices via Cross-Architecture CLIP Distillation
Clothes Co-Parsing Via Joint Image Segmentation and labeling With Application to Clothing Retrieval
Clothing Co-parsing by Joint Image Segmentation and labeling
Cluster labeling and Parameter Estimation for the Automated Setup of a Hand-Gesture Recognition System
Co-labeling for Multi-View Weakly Labeled Learning
Co-Pseudo labeling and Active Selection for Fundus Single-Positive Multi-Label Learning
Co-Speech Gesture Detection through Multi-Phase Sequence labeling
Coarse-to-Fine Pseudo-labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection, A
CoDeL: A Human Co-detection and labeling Framework
Collaborative and content-based image labeling
Collaborative Learning Of Semi-Supervised Clustering And Classification For labeling Uncurated Data
Collaborative Track Analysis, Data Cleansing, and labeling
Color Inference from Semantic labeling for Person Search in Videos
Colour Image Segmentation and labeling Through Multiedit-Condensing
combinational algorithm for connected-component labeling and Euler number computing, A
Communication control in a pyramid computer: Application to region labeling
compact single-pass architecture for hysteresis thresholding and component labeling, A
Comparing Classification Metrics for labeling Segmented Remote Sensing Images
Comparison of Traditional and Machine Learning Base Methods for Ground Point Cloud labeling
Complementary label learning with multi-view data and a semi-supervised labeling mechanism
Component labeling In Pyramid Architecture
component-labeling algorithm using contour tracing technique, A
Composite MR contrast agents for conditional cell-labeling
Comprehensive Visual Features and Pseudo labeling for Robust Natural Language-based Vehicle Retrieval
Compressive Sequential Learning for Action Similarity labeling
Computer Architecture for Solving Consistent labeling Problems
Computing approximate tree edit distance using relaxation labeling
Computing the Component-labeling and the Adjacency Tree of a Binary Digital Image in Near Logarithmic-Time
Configuration-Transition-Based Connected-Component labeling
Connected Component labeling for Binary Images on a Reconfigurable Mesh Architecture
Connected Component labeling of Binary Images on a Mesh Connected Massively Parallel Processor
Connected Component labeling on Polymorphic Torus Architecture
Connected Component labeling Techniques on Modern Architectures
Connected Component labeling Using Quadtrees
Connected Component labeling With Linear Octree
Connected Components labeling on Bitonal Images
Connected Components labeling on DRAGs
Connected Components labeling on the GPU with Generalization to Voronoi Diagrams and Signed Distance Fields
connected-component labeling problem: A review of state-of-the-art algorithms, The
Connectionist Temporal Modeling for Weakly Supervised Action labeling
CoNPL: Consistency training framework with noise-aware pseudo labeling for dense pose estimation
Conservative Visual Learning for Object Detection with Minimal Hand labeling Effort
Consistency-based Semi-supervised Active Learning: Towards Minimizing labeling Cost
Consistent labeling for Multi-camera Object Tracking
Consistent labeling of tracked objects in multiple cameras with overlapping fields of view
Consistent labeling Problem and Some Applications to Scene Analysis, The
Consistent labeling Problem, The
Consistent labeling Problem: Part I, The
Consistent labeling Problem: Part II, The
Consistent-labeling Problems and their Algorithms: Expected-Complexities and Theory-Based Heuristics
Constraint Propagation Neural Networks for Huffman-Clowes Scene labeling
Constraint Synthesizing Algorithm For The Consistent labeling Problem, A
Construction of Diverse Image Datasets From Web Collections With Limited labeling
Contagion-Based Image Segmentation and labeling
Context Aggregation Network for Semantic labeling in Aerial Images
Context Aggregation Network for Semantic labeling in Aerial Images 2
Context-aware cascade network for semantic labeling in VHR image
Context-regularized learning of fully convolutional networks for scene labeling
Contextual clustering for image labeling: an application to degraded forest assessment in Landsat TM images of the Brazilian Amazon
Contextual Word Recognition Using Probabilistic Relaxation labeling
Contextually Constrained Deep Networks for Scene labeling
Continuous labeling for Multiphase Graph Cut Image Partitioning, A
Continuous Multiclass labeling Approaches and Algorithms
Continuous Relaxation labeling Algorithm for Markov Random Fields, A
Continuous-time relaxation labeling processes
contour-based approach to 3D text labeling on triangulated surfaces, A
Contour-based focus of attention mechanism to speed up object detection and labeling in 3D scenes
Convex Multi-class Image labeling by Simplex-Constrained Total Variation
Convex optimization for multi-class image labeling with a novel family of total variation based regularizers
Convolutional Neural Network-Based 3D Semantic labeling Method for ALS Point Clouds, A
Copyright labeling of Digitized Image Data
Copyright labeling of Printed Images
Coral-Segmentation: Training Dense labeling Models with Sparse Ground Truth
Correlation-Relaxation-labeling Framework for Computing Optical Flow: Template Matching from a New Perspective, A
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical labeling of Coronary Arteries
Creating Procedural Windowbuilding Blocks Using the Generative Fact labeling Method
Cross-domain 3D model classification via pseudo-labeling noise correction
Cross-Model Pseudo-labeling for Semi-Supervised Action Recognition
Crowd Counting With Limited labeling Through Submodular Frame Selection
Crowd Segmentation Through Emergent labeling
Crowdsourcing of Histological Image labeling and Object Delineation by Medical Students
Curve Segmentation by Relaxation labeling
CVOnline: Line drawings and line labeling
CVOnline: Polyhedral World Line labeling
CycleMatch: Cyclic pseudo-labeling distillation in semi-supervised medical image segmentation
Cyclic-Bootstrap labeling for Weakly Supervised Object Detection
DAG-Recurrent Neural Networks for Scene labeling
Data-Driven Prior on Facet Orientation for Semantic Mesh labeling, A
DCRP: Class-Aware Feature Diffusion Constraint and Reliable Pseudo-labeling for Imbalanced Semi-Supervised Learning
Decomposition and Decentralization Techniques in Relaxation labeling
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection
Deep contextual recurrent residual networks for scene labeling
Deep feature annotation by iterative meta-pseudo-labeling on 2D projections
Deep Learning with Unsupervised Data labeling for Weed Detection in Line Crops in UAV Images
Deep Multi-Scale Mesh Feature Learning for Automated labeling of Raw Dental Surfaces From 3D Intraoral Scanners
Deep Neural Networks in Fully Connected CRF for Image labeling with Social Network Metadata
Deep Unsupervised Saliency Detection: A Multiple Noisy labeling Perspective
DeepCut: Joint Subset Partition and labeling for Multi Person Pose Estimation
Deeper and wider fully convolutional network coupled with conditional random fields for scene labeling
Dense and Sparse labeling With Multidimensional Features for Saliency Detection
Dense Image labeling Using Deep Convolutional Neural Networks
Dense labeling with User Interaction: an Example for Depth-Of-Field Simulation
Dense Semantic labeling of Subdecimeter Resolution Images With Convolutional Neural Networks
Dense Semantic labeling of Very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs
Dense Semantic labeling with Atrous Spatial Pyramid Pooling and Decoder for High-Resolution Remote Sensing Imagery
Dependency-based semantic role labeling using sequence labeling with a structural SVM
Dependency-based semantic role labeling using sequence labeling with a structural SVM
Design Method for Relaxation labeling Applications, A
Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise labeling
Detecting and Tracking Moving Airplanes from Space Based on Normalized Frame Difference labeling and Improved Similarity Measures
Detecting as labeling: Rethinking Lidar-camera Fusion in 3d Object Detection
Detection and labeling of retinal vessels for longitudinal studies
Detection and labeling of Sensitive Areas in Hydrological Cartography Using Vector Statistics
Detection of low clouds in METEOSAT IR night-time images based on a contextual spatio-temporal labeling approach
Detection of presynaptic terminals on dendritic spines in double labeling confocal images
detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification, A
Diffuse Nerve Net of Hydra Revealed by NADPH-Diaphorase Histochemical labeling
Direct Approach Toward Global Minimization for Multiphase labeling and Segmentation Problems, A
discDC: Unsupervised discriminative deep image clustering via confidence-driven self-labeling
Discovering human interactions in videos with limited data labeling
Discriminative and Selective Pseudo-labeling for Domain Adaptation
Discriminative Subtree Selection for NBI Endoscopic Image labeling
Distanceless label propagation: An efficient direct connected component labeling algorithm for GPUs
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-labeling
Document Image Classification and labeling Using Multiple Instance Learning
Domain adaptation by iterative improvement of soft-labeling and maximization of non-parametric mutual information
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling
Domain-Specific Block Selection and Paired-View Pseudo-labeling for Online Test-Time Adaptation
Dual Adversarial Transfer for Sequence labeling
Dual Cross-Image Semantic Consistency with Self-Aware Pseudo labeling for Semi-Supervised Medical Image Segmentation
Dual Difficulty-Aware Adaptive Pseudo labeling for Semi-Supervised CNV Segmentation
Dual independent pathway-densely connected residual network with dilated convolution-based arterial spin labeling MRI image reconstruction with minimum label-control pairs
Dual-Layer Groupwise Registration for Consistent labeling of Longitudinal Brain Images
Dual-level Adaptive Self-labeling for Novel Class Discovery in Point Cloud Segmentation
Dynamic Conditional Random Field Model for Joint labeling of Object and Scene Classes, A
Dynamic Decision Switch for Multiple Pixel Connected Component labeling Algorithm, The
Dynamic Pseudo labeling via Gradient Cutting for High-Low Entropy Exploration
Dynamics of Nonlinear Relaxation labeling Processes, The
EAD-Net: Efficiently Asymmetric Network for Semantic labeling of High-Resolution Remote Sensing Images with Dynamic Routing Mechanism
Edge Detection and Curve Enhancement Using the Facet Model and Parameterized Relaxation labeling
Edge Detection and labeling by Fusion of Intensity and Range Images
Edge Reinforcement Using Parameterized Relaxation labeling
Edge-aware integration model for semantic labeling of rare classes
Edge-Detection Technique Using the Facet Model and Parameterized Relaxation labeling, An
Edge-labeling Based Directed Gated Graph Network for Few-Shot Learning
Edge-labeling based modified gated graph network for few-shot learning
Edge-labeling Graph Neural Network for Few-Shot Learning
Edge-labeling Using Dictionary-Based Relaxation
Effective Fusion of Multi-Modal Remote Sensing Data in a Fully Convolutional Network for Semantic labeling
Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial labeling
Effectively labeling Planar Projections of Polyhedra
Effects of Flow Dispersion and Cardiac Pulsation in Arterial Spin labeling, The
Efficient 2X2 block-based connected components labeling algorithms
Efficient 3D Scene labeling Using Fields of Trees
Efficient approximation of labeling problems with applications to immune repertoire analysis
Efficient Component labeling of Images of Arbitrary Dimension Represented by Linear Bintrees
Efficient Edge-Detection Algorithm Using Relaxation labeling Technique, An
efficient first-scan method for label-equivalence-based labeling algorithms, An
Efficient Image labeling Based on Markov Random Field and Error Backpropagation Network
Efficient Joint Segmentation, Occlusion labeling, Stereo and Flow Estimation
Efficient labeling procedures for image partition encoding
Efficient Pre-trained Features and Recurrent Pseudo-labeling in Unsupervised Domain Adaptation
Efficient Run-Based Connected Component labeling Algorithm for Processing Holes, An
Efficient scale space auto-context for image segmentation and labeling
Efficient scan mask techniques for connected components labeling algorithm
Efficient Summarizing of Multimedia Archives Using Cluster labeling
Efficient Two-Scan labeling Algorithm for Binary Hexagonal Images, An
Efficiently Computing Weighted Tree Edit Distance Using Relaxation labeling
Effortless Active labeling for Long-Term Test-Time Adaptation
Ego-Semantic labeling of Scene from Depth Image for Visually Impaired and Blind People
Eliminating Memory Overflow in Connected Component labeling Applications
Empirical Method that Provides a Basis for the Organization of Relaxation labeling Processes for Vision, An
Empirically-derived estimates of the complexity of labeling line drawings of polyhedral scenes
energy-based model for region-labeling, An
Enhancing Perceptual Quality Assessment for 360-Degree Images Based on Adaptive Patch labeling and Multi-Label Learning
Enhancing Unsupervised Domain Adaptation in Semantic Segmentation Through Selective Consensus and Gaussian Mixture Model-Based Pseudo-labeling
Entropic Score to Rank Annotators for Crowdsourced labeling Tasks, An
Environmental labelings in Low Level Image Understanding
Episodic CAMN: Contextual Attention-Based Memory Networks with Iterative Feedback for Scene labeling
Epitomized priors for multi-labeling problems
EREW PRAM Algorithm for Image Component labeling, An
Error Correction for Dense Semantic Image labeling
Every Moment Counts: Dense Detailed labeling of Actions in Complex Videos
Evolutionary Approach to Training Relaxation labeling Processes, An
Example-Based Logical labeling of Document Title Page Images
Example-Guided Style-Consistent Image Synthesis From Semantic labeling
Exploitation of Gaze Data for Photo Region labeling in an Immersive Environment
Exploring Active Learning in Meta-learning: Enhancing Context Set labeling
Extracting and labeling Boundary Segments in Natural Scenes
Extraction of Drainage Networks by Using the Consistent labeling Technique
Facade labeling via Explicit Matrix Factorization
Face and Hair Region labeling Using Semi-Supervised Spectral Clustering-Based Multiple Segmentations
Face Annotation Framework with Partial Clustering and Interactive labeling, A
Face Detection for Pseudo-Semantic labeling in Video Databases
FaceL: Facile Face labeling
Facial Contour labeling via Congealing
fast algorithm for integrating connected-component labeling and euler number computation, A
Fast Approach for Pixelwise labeling of Facade Images, A
Fast Approximate Inference in Higher Order MRF-MAP labeling Problems
Fast block based connected components labeling
fast connected components labeling algorithm and its application to real-time pupil detection, A
Fast connected-component labeling
Fast Connected-component labeling Based on Sequential Local Operations in the Course of Forward Raster Scan Followed by Backward Raster Scan
Fast Continuous Max-Flow Approach to Non-convex Multi-labeling Problems, A
Fast dynamic programming for labeling problems with ordering constraints
fast first-scan algorithm for label-equivalence-based connected-component labeling, A
Fast Image labeling Using Local Operators on Mesh-Connected Computers
Fast Multi-Object Extraction Algorithm Based on Cell-Based Connected Components labeling, A
Fast Parallel Algorithm for labeling Connected Components, A
Fast Tiered labeling with Topological Priors
Feature Affinity-Based Pseudo labeling for Semi-Supervised Person Re-Identification
Feature Transformation Framework With Selective Pseudo-labeling for 2D Image-Based 3D Shape Retrieval, A
Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-labeling and Contrastive Learning
Fine-Level Semantic labeling of Large-Scale 3D Model by Active Learning
First Sight: A Human-Body Outline labeling System
formal approach to good practices in Pseudo-labeling for Unsupervised Domain Adaptive Re-Identification, A
From appearance to context-based recognition: Dense labeling in small images
From image-level to pixel-level labeling with Convolutional Networks
Fully Attentional Networks with Self-emerging Token labeling
fully automated method of associating axial slices with a disc based on labeling of multi-protocol lumbar MRI, A
Fusion4DAL: Offline Multi-modal 3D Object Detection for 4D Auto-labeling
Fuzzy Non-Iterative ARG labeling with Multiple Interpretations
Fuzzy Rule Based Document Image Segmentation for Component labeling
GAL: A global-attributes assisted labeling system for outdoor scenes
Game Strategy Approach for Image labeling, A
gamma-signal-regulated connected components labeling algorithm, A
Gated Feedback Refinement Network for Dense Image labeling
General Approach to Connected-Component labeling for Arbitrary Image Representations, A
General Class-Balanced Multicentric Dynamic Prototype Pseudo-labeling for Source-Free Domain Adaptation
Generalized Line and Junction labeling Scheme with Applications to Scene Analysis, A
Generalized Pseudo-labeling in Consistency Regularization for Semi-Supervised Learning
Generalized Region labeling Algorithm for Image Coding, Restoration, and Segmentation, A
Generative Models for labeling Multi-object Configurations in Images
Generative-Model-Based Data labeling for Deep Network Regression: Application to Seed Maturity Estimation from UAV Multispectral Images
generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms, A
Genetic Algorithm Parameter Sets for Line labeling
Genetic labeling and its application to depalletizing robot vision
Geodesic Atlas-Based labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT
Geodesic Propagation for Semantic labeling
Geometric Approach to Image labeling, A
Geometric Image labeling with Global Convex Labeling Constraints
Geometric Image labeling with Global Convex Labeling Constraints
Geometry Driven Semantic labeling of Indoor Scenes
Ghost: A Human Body Part labeling System Using Silhouettes
Global Optimization of a Consistent labeling
Globally consistent depth labeling of 4D light fields
Globally optimal pixel labeling algorithms for tree metrics
Gradient-Based Severity labeling for Biomarker Classification in OCT
Graph-shifts: Natural image labeling by dynamic hierarchical computing
HACMatch: Semi-supervised rotation regression with hardness-aware curriculum pseudo labeling
HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part labeling
Hallucinated Humans as the Hidden Context for labeling 3D Scenes
Handling Memory Overflow in Connected Component labeling Applications
HECOL: Homography and epipolar-based consistent labeling for outdoor park surveillance
Height Gradient Histogram (HIGH) for 3D Scene labeling
Heuristic-Based Decision Tree for Connected Components labeling of 3D Volumes, A
hierarchical algorithm for image multi-labeling, A
hierarchical conditional random field model for labeling and classifying images of man-made scenes, A
hierarchical conditional random field model for labeling and segmenting images of street scenes, A
Hierarchical Image-region labeling via Structured Learning
Hierarchical labeling For Integrating Images And Words
Hierarchical Pseudo labeling Based Embranchment Learning for One-Shot Person Re-Identification
Hierarchical Relaxation System for Line labeling and Grouping, A
Hierarchical Segment Support for Categorical Image labeling
Hierarchical Superpixel Segmentation by Parallel CRTrees labeling
High Resolution ^13 C MRI With Hyperpolarized Urea: In Vivo T_2 Mapping and ^15 N labeling Effects
High-Quality Pseudo-labeling for Point Cloud Segmentation With Scene-Level Annotation
High-Resolution Aerial Image labeling With Convolutional Neural Networks
high-speed algorithm for propagation-type labeling based on block sorting of runs in binary images, A
High-Speed Systolic Architecture for labeling Connected Components in an Image, A
Higher-Order Conditional Random Fields-Based 3D Semantic labeling of Airborne Laser-Scanning Point Clouds
Historical Document Binarization Combining Semantic labeling and Graph Cuts
HOPS: Efficient region labeling using Higher Order Proxy Neighborhoods
Horror film genre typing and scene labeling via audio analysis
How Does Connected Components labeling with Decision Trees Perform on GPUs?
How Does Sample labeling and Distribution Affect the Accuracy and Efficiency of a Deep Learning Model for Individual Tree-Crown Detection and Delineation
How Hard Is the LP Relaxation of the Potts Min-Sum labeling Problem?
HPL-ESS: Hybrid Pseudo-labeling for Unsupervised Event-based Semantic Segmentation
HSlabeling: Toward Efficient Labeling for Large-Scale Remote Sensing Image Segmentation With Hybrid Sparse Labeling
HSlabeling: Toward Efficient Labeling for Large-Scale Remote Sensing Image Segmentation With Hybrid Sparse Labeling
Human Body Part labeling and Tracking Using Graph Matching Theory
Human brain labeling using image similarities
Human Interaction Understanding With Joint Graph Decomposition and Node labeling
Image Algebra Techniques for Binary Image Component labeling with Local Operators
Image Encoding, labeling and Reconstruction from Differential Geometry
Image Inpainting Through Metric labeling via Guided Patch Mixing
Image interpretation with a conceptual graph: labeling over-segmented images and detection of unexpected objects
Image labeling and Grouping by Minimizing Linear Functionals over Cones
Image labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment
Image labeling by Assignment
Image labeling by Integrating Local, Middle and Global Information
Image labeling by multiple segmentation
Image labeling For Lidar Intensity Image Using K-nn Of Feature Obtained By Convolutional Neural Network
Image labeling Mechanism Using Digital Radon Projections, An
Image labeling on a Network: Using Social-Network Metadata for Image Classification
Image labeling via incremental model learning
Image labeling: A Neural Network Approach
Image Matching Using SIFT Features and Relaxation labeling Technique: A Constraint Initializing Method for Dense Stereo Matching
Image Segmentation and labeling Using Free-Form Semantic Annotation
Image Segmentation and labeling Using the Polya Urn Model
Impacts of Quality-Oriented Dataset labeling on Tree Cover Segmentation Using U-Net: A Case Study in WorldView-3 Imagery, The
Implementation and Evaluation of a Fast Area Feature labeling Method Using Auxiliary Lines
Improved Algorithm for labeling Connected Components in a Binary Image, An
Improved Approach to Connected Component labeling of Images, An
Improved Cluster labeling Method for Support Vector Clustering, An
Improved Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree labeling, An
Improving Accessibility of Virtual Worlds by Automatic Object labeling
Improving Consistency and Reducing Ambiguity in Stochastic labeling: An Optimization Approach
Improving Constrained Bundle Adjustment Through Semantic Scene labeling
Improving the labeling Accuracy by a New Probabilistic Relaxation Labeling
Improving the labeling Accuracy by a New Probabilistic Relaxation Labeling
Incremental pseudo-labeling for black-box unsupervised domain adaptation
Indoor Scene Parsing with Instance Segmentation, Semantic labeling and Support Relationship Inference
Inference Scene labeling by Incorporating Object Detection with Explicit Shape Model
Inferring M-Best Diverse labelings in a Single One
Instance-Aware Detailed Action labeling in Videos
Instance-Dependent Positive and Unlabeled Learning With labeling Bias Estimation
Integrated Framework for Unsupervised Building Segmentation with Segment Anything Model-Based Pseudo-labeling and Weakly Supervised Learning
Integrating Geometrical Context for Semantic labeling of Indoor Scenes using RGBD Images
Integrating parametric and non-parametric models for scene labeling
Integrating Vision Modules: Stereo, Shading, Grouping, and Line labeling
Integration of Top-down and Bottom-up Information for Image labeling
Integration of Vision Modules and labeling of Surface Discontinuities
Integration Scheme for Image Segmentation and labeling Based on Markov Random-Field Model, An
Integrative labeling based statistical color models with application to skin detection
Intelligent labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning
Interactive labeling and Data Augmentation for Vision
Interactive labeling for Human Pose Estimation in Surveillance Videos
Interactive labeling of facial action units
Interactive labeling of Image Segmentation Hierarchies
Interactive labeling of WCE Images
Interpolating Sparse GPS Measurements Via Relaxation labeling and Belief Propagation for the Redeployment of Ambulances
IODA: An input/output deep architecture for image labeling
ISLA: Temporal Segmentation and labeling for Audio-Visual Emotion Recognition
Iterative image segmentation with feature driven heuristic four-color labeling
Iterative Multiplicative Filters for Data labeling
iterative spectral-spatial Bayesian labeling approach for unsupervised robust change detection on remotely sensed multispectral imagery, An
Jigsaw Puzzle Solving as a Consistent labeling Problem
JiSAM: Alleviate labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data
Joint Convolutional Neural Networks and Context Transfer for Street Scenes labeling, A
Joint Cranial Bone labeling and Landmark Detection in Pediatric CT Images Using Context Encoding
Joint Data Filtering and labeling Using Gaussian Processes and Alternating Direction Method of Multipliers
Joint Global and Dynamic Pseudo labeling for Semi-Supervised Point Cloud Sequence Segmentation
Joint Graph Decomposition Node labeling: Problem, Algorithms, Applications
Joint Image Clustering and labeling by Matrix Factorization
Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective labeling
Joint Shape Classification and labeling of 3-D Objects Using the Energy Minimization Framework
Joint Training on Multiple Datasets With Inconsistent labeling Criteria for Facial Expression Recognition
KeyPose: Multi-View 3D labeling and Keypoint Estimation for Transparent Objects
Knowledge-based segmentation and labeling of brain structures from MRI images
L-CNN: Exploiting labeling latency in a CNN learning framework
Labelfaces: Parsing facial features by multiclass labeling with an epitome prior
labeling abnormalities in video based complex Human-Object Interactions by robust affordance modelling
labeling board based on boundary tracking
labeling Color 2D Digital Images in Theoretical Near Logarithmic Time
labeling Complete Surfaces in Scene Understanding
labeling Connected Components on a Massively Parallel Tree Machine
labeling Evaluation in Probabilistic Networks
labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes
labeling Image Patches by Boosting based Median Classifier
labeling Images by Integrating Sparse Multiple Distance Learning and Semantic Context Modeling
labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models
labeling Irregular Graphs with Belief Propagation
labeling Model Based on the Region of Movability for Point-Feature Label Placement, A
labeling of Clusters Based on Critical Analysis of Texture Measures
labeling of Curvilinear Structure Across Scales by Token Grouping
labeling of Human Face Components from Range Data
labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model
labeling of MR brain images using Boolean neural network
labeling Perspective Projections of Origami Scenes
labeling Schemata and Syntactic Descriptions of Pictures
labeling Spain With Stanford
labeling Still Image Databases Using Graphical Models
labeling Update of Segmented Images using Conceptual Graphs and Dempster-Shafer Theory of Evidence
LabOR: labeling Only if Required for Domain Adaptive Semantic Segmentation
Lake Ice-Water Classification of RADARSAT-2 Images by Integrating IRGS Segmentation with Pixel-Based Random Forest labeling
Languages for constrained binary segmentation based on maximum a posteriori probability labeling
Large image modality labeling initiative using semi-supervised and optimized clustering
Large Margin Dimensionality Reduction for Action Similarity labeling
Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric labeling
Large-scale semantic co-labeling of image sets
Large-scale urban point cloud labeling and reconstruction
LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic labeling in Dense Urban Areas
Lattice labeling Algorithms for Vector Quantization
LCSL: Long-Tailed Classification via Self-labeling
Learning 3D mesh segmentation and labeling
Learning a Dictionary of Shape Epitomes with Applications to Image labeling
Learning Adaptive Regularization for Image labeling Using Geometric Assignment
Learning aggregated features and optimizing model for semantic labeling
learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images, A
Learning Compatibility Coefficients for Relaxation labeling Processes
Learning Deterministic Finite Automata with a Smart State labeling Evolutionary Algorithm
Learning Dynamic Hierarchical Models for Anytime Scene labeling
Learning Dynamic Hybrid Markov Random Field for Image labeling
Learning From Synthetic Images via Active Pseudo-labeling
Learning Hierarchical Features for Scene labeling
Learning implicit labeling-importance and label correlation for multi-label feature selection with streaming labels
Learning Linear Assignment Flows for Image labeling via Exponential Integration
Learning of Atlas Forest Hierarchy for Automatic labeling of MR Brain Images
Learning Rare Category Classifiers on a Tight labeling Budget
Learning structured prediction models for interactive image labeling
Learning What and How of Contextual Models for Scene labeling
Learning with Minimal Effort: Leveraging in Silico labeling for Cell and Nucleus Segmentation
Learning with probabilistic labeling
Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI labeling
Leveraging Input-Level Feature Deformation With Guided-Attention for Sulcal labeling
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-labeling
Light Speed labeling for RISC architectures
Light speed labeling: efficient connected component labeling on RISC architectures
Light speed labeling: efficient connected component labeling on RISC architectures
Limited view CT reconstruction and segmentation via constrained metric labeling
Limited view CT reconstruction via constrained metric labeling
Line labeling and Junction Labeling: A Coupled System for Image Interpretation
Line labeling and Junction Labeling: A Coupled System for Image Interpretation
Line labeling And Region-Segmentation In Stereo Image Pairs
Line labeling Techniques
Linear Programming Based Method for Joint Object Region Matching and labeling, A
linear-time component-labeling algorithm using contour tracing technique, A
Linear-time connected-component labeling based on sequential local operations
Linear-Time Two-Scan labeling Algorithm, A
Local Label Descriptor for Example Based Semantic Image labeling
Locop: Local Collaborative Object Presence for Semantic labeling Via Score Map Re-Inference
Logical labeling of Arabic newspapers using artificial neural nets
Logical labeling of Document Images Using Layout Graph Matching with Adaptive Learning
Logical labeling using Bayesian networks
Logistic Random Field: A convenient graphical model for learning parameters for MRF-based labeling, The
LP Relaxation of the Potts labeling Problem Is as Hard as Any Linear Program
LPL3D: LVLM-Driven Pseudo-labeling for 3D Object Detection
LSL3D: A Run-Based Connected Component labeling Algorithm for 3D Volumes
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene labeling
MAP Image labeling Using Wasserstein Messages and Geometric Assignment
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-labeling
Maritime Semantic labeling of Optical Remote Sensing Images with Multi-Scale Fully Convolutional Network
Marked Grid labeling
Matching and anatomical labeling of human airway tree
Memory-efficient 3D connected component labeling with parallel computing
Memory-Efficient Hardware Architecture for Connected Component labeling in Embedded System, A
Memory-Efficient Pseudo-labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model
Method and means for efficiently handling boundary conditions in connected component labeling
Method for Automated Cortical Surface Registration and labeling, A
Method of Inserting Binary Data into MPEG Bitstreams for Video Index labeling, A
Micro-Expression Analysis Based on Self-Adaptive Pseudo-labeling and Residual Connected Channel Attention Mechanisms
Minimization of MRF Energy With Relaxation labeling
Minimizing Human labeling in Training Deep Models for Pedestrian Intention Prediction
MLLM-as-a-Judge for Image Safety without Human labeling
MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent labeling
Model-assisted labeling via Explainability for Visual Inspection of Civil Infrastructures
Model-Guided labeling of Coronary Structure
Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision
Monitoring Relaxation Algorithms Using labeling Evaluations
Monocular Online Learning for Road Region labeling and Object Detection from a Moving Platform
Monocular Perception of Biological Motion: Detection and labeling
Motion detection, labeling, data association and tracking, in real-time on RISC computer
Motion Segmentation with Weak labeling Priors
Moving Object Detection in Color Image Sequences using Region-Level Graph labeling
MRF labeling for Multi-view Range Image Integration
MRF labeling with a Graph-Shifts Algorithm
MTCSNet: One-Stage Learning and Two-Point labeling are Sufficient for Cell Segmentation
Multi-Class Image labeling with Top-Down Segmentation and Generalized Robust P^N Potentials
Multi-graph Graph matching for coronary artery semantic labeling in invasive coronary angiograms
Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative labeling
Multi-Level Contextual RNNs With Attention Model for Scene labeling
Multi-level semantic labeling of Sky/cloud images
Multi-modal Unsupervised Feature Learning for RGB-D Scene labeling
Multi-Modal, Discriminative and Spatially Invariant CNN for RGB-D Object labeling, A
Multi-object Tracking via Constrained Sequential labeling
Multi-objective convolutional learning for face labeling
Multi-Primitive-Based Hierarchical Optimal Approach for Semantic labeling of ALS Point Clouds, A
Multi-scale context for scene labeling via flexible segmentation graph
multi-scale fully convolutional network for semantic labeling of 3D point clouds, A
Multi-scale Gated Fully Convolutional DenseNets for semantic labeling of historical newspaper images
Multi-Step Test-Time Adaptation with Entropy Minimization and Pseudo-labeling
Multi-TI Arterial Spin labeling MRI with Variable TR and Bolus Duration for Cerebral Blood Flow and Arterial Transit Time Mapping
Multi-view cognition with path search for one-shot part labeling
Multiclass Image labeling with Semidefinite Programming
Multiclass pixel labeling with non-local matching constraints
Multilevel Parallel Processing Approach to Scene labeling Problems, A
Multimodal Recurrent Neural Networks With Information Transfer Layers for Indoor Scene labeling
Multiphase Dynamic labeling Model for Variational Recognition-driven Image Segmentation, A
Multiple Atlases-Based Joint labeling of Human Cortical Sulcal Curves
Multiple object labeling in video sequences without skill
Multiple straight line detection based on labeling of pixels by Genetic Algorithm
Multiscale conditional random fields for image labeling
Multiscale Conditional Random Fields for Semi-supervised labeling and Classification
Multiscale relaxation labeling of fractal images
Multiscale Texture Segmentation Using Hybrid Contextual labeling Tree
Multiview Pseudo-labeling for Semi-supervised Learning from Video
MUSIC: Multi-coil unified sparsity regularization using inter-slice correlation for arterial spin labeling MRI denoising
Negative Pseudo labeling Using Class Proportion for Semantic Segmentation in Pathology
Neural Network Approach to the labeling of Line Drawings, A
Neurally-Guided Shape Parser: Grammar-based labeling of 3D Shape Regions with Approximate Inference, The
new algorithm for labeling connected-components and calculating the Euler number, connected-component number, and hole number, A
New Algorithm for labeling of Human Motion, A
New Approach to the Continuous labeling Problem, A
New Connected-Component labeling Algorithm, A
New Document Clustering Algorithm for Topic Discovering and labeling, A
New Framework for Approximate labeling via Graph Cuts, A
New Framework for Connected Components labeling of Binary Images, A
New Neuro-Fuzzy System for Logical labeling of Documents, A
new objective function for sequence labeling, A
New optimization scheme for L2-norm total variation semi-supervised image soft labeling
New Region-Based Minimal Path Selection Algorithm for Crack Detection and Ground Truth labeling Exploiting Gabor Filters, A
new robust context-based dense CRF model for image labeling, A
New Three-Dimensional Connected Components labeling Algorithm with Simultaneous Object Feature Extraction Capability, A
Noise correction of image labeling in crowdsourcing
Non-Iterative Optimization of Pseudo-labeling Thresholds for Training Object Detection Models from Multiple Datasets
Nonlinear Image labeling for Multivalued Segmentation
Nonlinear relaxation labeling as growth transformation
Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image labeling, A
Nonparametric Gesture labeling from Multi-modal Data
Not All Labels Are Equal: Rationalizing The labeling Costs for Training Object Detection
Note on the Evaluation of Probabilistic labelings, A
Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels, A
Numerical Integration of Riemannian Gradient Flows for Image labeling
Object co-labeling in multiple images
Object detection by labeling superpixels
Object labeling for 3-D Cross-Sectional Data using Trajectory Tracking
Object labeling for recognition using vocabulary trees
Object segmentation and labeling by learning from examples
Object-Aware Instance labeling for Weakly Supervised Object Detection
Object-Based Image Analysis of High-Resolution Satellite Images Using Modified Cloud Basis Function Neural Network and Probabilistic Relaxation labeling Process
Object-based image labeling through learning by example and multi-level segmentation
On a relaxation-labeling algorithm for real-time contour-based image similarity retrieval
On Evidential Relaxation labeling: A Scheme Toward Knowledge-Based Vision
On GPU Connected Components and Properties: A Systematic Evaluation of Connected Component labeling Algorithms and Their Extension for Property Extraction
On labeling Noise and Outliers for Robust Concept Learning for Image Databases
On Learning Higher-Order Consistency Potentials for Multi-class Pixel labeling
On the Complexity of labeling Perspective Projections of Polyhedral Scenes
On the Foundations of Relaxation labeling Processes
On the Geometric Mechanics of Assignment Flows for Metric Data labeling
One Kind of Macrophages Images Segmentation and labeling Method
Online Learned Player Recognition Model Based Soccer Player Tracking and labeling for Long-Shot Scenes
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-labeling
Optimal data partition for semi-automated labeling
Optimal Parallel Algorithms for Region labeling and Medial Axis Transform of Binary Images
Optimal probabilistic relaxation labeling
optimization algorithm for determining the compatibility coefficients of relaxation labeling processes, An
Optimization Algorithms for labeling Brain Sulci Based on Graph Matching
Optimization Approach to Relaxation labeling Algorithms, An
Optimized Block-Based Connected Components labeling With Decision Trees
Optimized Connected Components labeling with Pixel Prediction
Optimized Higher Order CRF for Automated labeling and Segmentation of Video Objects, An
Overcoming Accuracy Deterioration in Pixel Relaxation labeling
Overcoming Calibration Problems in Pattern labeling with Pairwise Ratings: Application to Personality Traits
Overlaid Arrow Detection for labeling Regions of Interest in Biomedical Images
Overview and Comparison of Smooth labeling Methods for Land-Cover Classification, An
PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation
Parallel Algorithms for Geometric Connected Component labeling on a Hypercube Multiprocessor
Parallel Architectures and Algorithms for Image Component labeling
Parallel Computer Architectures and Problem Solving Strategies for the Consistent labeling Problem
Parallel connected-Component-labeling based on homotopy trees
Parallel Image Component labeling for Target Acquisition
Parallel Image Component labeling with Watershed Transformation
Parallel Light Speed labeling: an efficient connected component algorithm for labeling and analysis on multi-core processors
Parallel Light Speed labeling: an efficient connected component algorithm for labeling and analysis on multi-core processors
Parallel light speed labeling: An efficient connected component labeling algorithm for multi-core processors
Parallel light speed labeling: An efficient connected component labeling algorithm for multi-core processors
Parsimonious labeling
Partial Optimal labeling Search for a NP-Hard Subclass of (max,+) Problems
Partial shape recognition by sub-matrix matching for partial matching guided image labeling
Patch-Based Semantic labeling of Road Scene Using Colorized Mobile LiDAR Point Clouds
PCL: Point Contrast and labeling for Weakly Supervised Point Cloud Semantic Segmentation
Pedestrian detection with depth-guided structure labeling
People consistent labeling between uncalibrated cameras without planar ground assumption
Perceptual Depth Shape-based CRF Model for Deformable Surface labeling, A
PhotonLabeler: An Inter-Disciplinary Platform for Visual Interpretation and labeling of ICESat-2 Geolocated Photon Data
Physically-based edge labeling
Physiological Modulations in Arterial Spin labeling Perfusion Magnetic Resonance Imaging
Pictorial structures for object recognition and part labeling in drawings
Pixel labeling Approach for Historical Digitized Books, A
Pixel labeling by Supervised Probabilistic Relaxation
Pixel-Level Encoding and Depth Layering for Instance-Level Semantic labeling
PixLabeler: User Interface for Pixel-Level labeling of Elements in Document Images
Plane labeling trinocular stereo matching with baseline recovery
Plug and play labeling strategies for boosting small brain lesion segmentation
Point cloud labeling using 3D Convolutional Neural Network
Point-pattern matching based on point pair local topology and probabilistic relaxation labeling
Portal Extraction Based on an Opening labeling for Ray Tracing
Position-aware self-attention based neural sequence labeling
Potential Risk Localization via Weak labeling out of Blind Spot
Practical Extensions of Point labeling in the Slider Model
Predicting Very Early Stage Mild Cognitive Impairment Based on a Voxel-wise Arterial Spin labeling Analysis
Probabilistic Feature-labeling Schemes: Modeling Compatibility Coefficient Distributions
Probabilistic Joint Image Segmentation and labeling by Figure-Ground Composition
Probabilistic labeling Cost for High-Accuracy Multi-view Reconstruction
Probabilistic labeling of Cerebral Vasculature on MR Angiography
Probabilistic Motion Diffusion of labeling Priors for Coherent Video Segmentation
Probabilistic Relaxation labeling by Fokker-Planck Diffusion on a Graph
probabilistic relaxation labeling framework for reducing the noise effect in geometric biclustering of gene expression data, A
Progressive Pseudo labeling for Multi-Dataset Detection Over Unified Label Space
Prototype Guided Pseudo labeling and Perturbation-based Active Learning for domain adaptive semantic segmentation
PseCo: Pseudo labeling and Consistency Training for Semi-Supervised Object Detection
Pseudo labeling Methods for Semi-Supervised Semantic Segmentation: A Review and Future Perspectives
Pseudo-labeling and Meta Reweighting Learning for Image Aesthetic Quality Assessment
Pseudo-labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Pseudo-labeling with keyword refining for few-supervised video captioning
Pyramidal Connected Component labeling by Irregular Graph Pyramid
Quaddirectional 2D-Recurrent Neural Networks For Image labeling
Radial Projection: An Efficient Update Rule for Relaxation labeling
Rare Class Oriented Scene labeling Using CNN Incorporated Label Transfer
Re-labeling ImageNet: From Single to Multi-Labels, from Global to Localized Labels
Real-Time Dense Semantic labeling with Dual-Path Framework for High-Resolution Remote Sensing Image
Real-Time Object-Based Video Segmentation Using Colour Segmentation and Connected Component labeling
Real-time semantic context labeling for image understanding
Reconstruction of Indoor Navigation Elements for Point Cloud of Buildings with Occlusions and Openings by Wall Segment Restoration from Indoor Context labeling
Reconstructive Sparse Code Transfer for Contour Detection and Semantic labeling
Recurrent Temporal Deep Field for Semantic Video labeling
Recursive Confidence Training for Pseudo-labeling Calibration in Semi-Supervised Few-Shot Learning
Reducing Annotation Effort by Identifying and labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift
Reducing Spatial labeling Redundancy for Active Semi-Supervised Crowd Counting
Refining Pseudo labeling via Multi-Granularity Confidence Alignment for Unsupervised Cross Domain Object Detection
Refining surface curvature with relaxation labeling
Region Growing and Global labeling in Image Analysis
Region-Level Graph labeling Approach to Motion-Based Segmentation, A
Region-Level Motion-Based Graph Representation and labeling for Tracking a Spatial Image Partition, A
Regression Tree Fields: An efficient, non-parametric approach to image labeling problems
Relaxation labeling Algorithm for Information Integration and its Convergence
Relaxation labeling and Evidence Gathering
Relaxation labeling in stereo image matching
Relaxation labeling Meets GANs: Solving Jigsaw Puzzles with Missing Borders
Relaxation labeling of Markov random fields
Relaxation labeling processes for protein secondary structure prediction
Relaxation labeling Using Augmented Lagrange-Hopfield Method
Relaxation labeling Using Continuous Label Sets
Relaxation labeling using Lagrange-Hopfield method
Relaxation labeling Using Staged Updating
Relaxation labeling with Learning Automata
Relaxation labeling: 25 Years and Still Iterating
Relaxation labeling: The Principle of Least Disturbance
Relaxation Processes for Scene labeling
Relaxation Processes for Scene labeling: Convergence, Speed, and Stability
Relaxation vs Maximal Cliques Search for Projected Beams labeling in a Structured Light Sensor
Relieving Pixel-wise labeling Effort for Pathology Image Segmentation with Self-training
Resource-Efficient Parallel Connected Component labeling Algorithm and Its Hardware Implementation, A
Rethinking Clustering-Based Pseudo-labeling for Unsupervised Meta-Learning
Review of World's Fastest Connected Component labeling Algorithms: Speed and Energy Estimation, A
Revisiting Deep Structured Models for Pixel-Level labeling with Gradient-Based Inference
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-labeling
RGB-(D) scene labeling: Features and algorithms
RGB-D Scene labeling with Multimodal Recurrent Neural Networks
Rich Discrete labeling Scheme for Line Drawings of Curved Objects, A
Road scene labeling using SfM module and 3D bag of textons
Robust and Discriminative labeling for Multi-Label Active Learning Based on Maximum Correntropy Criterion
Robust Cerebral Blood Flow Map Estimation in Arterial Spin labeling
Robust Character labeling in Movie Videos: Data Resources and Self-Supervised Feature Adaptation
Robust Cross-Domain Pseudo-labeling and Contrastive Learning for Unsupervised Domain Adaptation NIR-VIS Face Recognition
Robust Hybrid Learning for Automatic Teeth Segmentation and labeling on 3D Dental Models
Robust labeling and Invariance Modeling for Unsupervised Cross-Resolution Person Re-Identification
Robust Multi-Graph Multi-Label Learning with Dual-Granularity labeling
Robust Sparse Coding for Mobile Image labeling on the Cloud
rotation invariant 3D indoor scene labeling approach based on conditional random fields, A
Run-Based One-Scan labeling Algorithm, A
Run-Based Two-Scan labeling Algorithm, A
Rural Settlement Segmentation in Large-Scale Remote Sensing Imagery Using MSF-AL Auto-labeling and the SELPFormer Model
Saliency Based Opportunistic Search for Object Part Extraction and labeling
Satellite image time series classification and analysis using an adapted graph labeling
Scalable face labeling in online social networks
scalable parallel hardware architecture for connected component labeling, A
Scene labeling by Relaxation Operations
Scene labeling Using Beam Search under Mutex Constraints
Scene labeling Using Sparse Precision Matrix
Scene labeling with LSTM recurrent neural networks
Scene labeling: An Optimization Approach
Scene text recognition with CNN classifier and WFST-based word labeling
Scene Understanding by labeling Pixels
SeCoV2: Semantic Connectivity-Driven Pseudo-labeling for Robust Cross-Domain Semantic Segmentation
Segment, Lift and Fit: Automatic 3d Shape labeling from 2d Prompts
Self Patch labeling Using Quality Distribution Estimation for CNN-Based 360-IQA Training
Self-annealing and self-annihilation: unifying deterministic annealing and relaxation labeling
Self-Assignment Flows for Unsupervised Data labeling on Graphs
Self-attention-based conditional random fields latent variables model for sequence labeling
Self-labeling Framework for Open-Set Domain Adaptation With Few Labeled Samples
Self-Supervised Ground-Roll Noise Attenuation Using Self-labeling and Paired Data Synthesis
Self-Supervised Learning with Probabilistic Density labeling for Rainfall Probability Estimation
Self-Supervised Wasserstein Pseudo-labeling for Semi-Supervised Image Classification
Self-Validated labeling of Markov Random Fields for Image Segmentation
Semantic Description of Aerial Images Using Stochastic labeling
Semantic Image Segmentation and Object labeling
Semantic Instance labeling Leveraging Hierarchical Segmentation
Semantic labeling Based Vehicle Detection in Aerial Imagery
Semantic labeling for improved vehicle detection in aerial imagery
Semantic labeling for prosthetic vision
semantic labeling framework for ALS point clouds based on discretization and CNN, A
Semantic labeling in Remote Sensing Corpora Using Feature Fusion-Based Enhanced Global Convolutional Network with High-Resolution Representations and Depthwise Atrous Convolution
Semantic labeling in very high resolution images via a self-cascaded convolutional neural network
Semantic labeling of Als Point Clouds for Tree Species Mapping Using The Deep Neural Network Pointnet++
Semantic labeling of High Resolution Aerial Imagery and LiDAR Data with Fine Segmentation Network
Semantic labeling of High-Resolution Images Combining a Self-Cascaded Multimodal Fully Convolution Neural Network with Fully Conditional Random Field
Semantic labeling of images combining color, texture and keywords
Semantic labeling of LIDAR point clouds for UAV applications
Semantic labeling of Mobile LiDAR Point Clouds via Active Learning and Higher Order MRF
Semantic labeling of track events using time series segmentation and shape analysis
Semantic Photogrammetry: Boosting Image-based 3D Reconstruction With Semantic labeling
Semantic Scene labeling via Deep Nested Level Set
Semantic video labeling by developmental visual agents
Semantic-Aware Pseudo-labeling for Unsupervised Meta-Learning
SemanticFusion: Joint labeling, Tracking and Mapping
Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition
Semi-automatic object-based video segmentation with labeling of color segments
Semi-Automatically labeling Objects in Images
Semi-Supervised 3d Object Detection Via Adaptive Pseudo-labeling
Semi-Supervised Domain Adaptation via Selective Pseudo labeling and Progressive Self-Training
Semi-supervised Ensemble Learning Approach for Character labeling with Minimal Human Effort, A
Semi-Supervised Few-Shot Object Detection via Adaptive Pseudo labeling
Semi-supervised labeling Model Based on Gaussian Mixture in the Context of E-commerce Price Fraud
Semi-Supervised Learning for Low-light Image Restoration through Quality Assisted Pseudo-labeling
Semi-supervised medical image segmentation via pseudo-labeling refinement and dual-adaptive adjustment schemes
Semi-Supervised Seafloor Habitat Classification: A Pseudo-labeling Framework
Semiautomatic labeling of generic objects for enlarging annotated image databases
Semisupervised classification for hyperspectral image based on multi-decision labeling and deep feature learning
SemTra: A semi-supervised approach to traffic flow labeling with minimal human effort
Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation via Synergistic Pseudo-labeling and Generative Learning, A
Separable and Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree labeling
Sequence Multi-labeling: A Unified Video Annotation Scheme With Spatial and Temporal Context
Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes labeling
Sequential labeling with Structural SVM Under an Average Precision Loss
Sequential labeling with structural SVM under the F1 loss
Shape Descriptions for labeling Concavity Trees
Shape from Line Drawings, Junction labeling
Shape From Line Drawings: Beyond Huffman-Clowes labeling
Shape-Time Random Field for Semantic Video labeling, The
Significant Body Point labeling and Tracking
simple and efficient connected components labeling algorithm, A
Simplex-Like Algorithm for the Relaxation labeling Process, A
Simultaneous Multi-class Pixel labeling over Coherent Image Sets
Single trial variability in brain-computer interfaces based on motor imagery: Learning in the presence of labeling noise
Situation Recognition: Visual Semantic Role labeling for Image Understanding
Skew Detection in Binary Image Documents Based on Image Dilation and Region labeling Approach
SLEDGE: Sequential labeling of Image Edges for Boundary Detection
SLNSW-UTS: A Historical Image Dataset for Image Multi-labeling and Retrieval
SnapNet-R: Consistent 3D Multi-view Semantic labeling for Robotics
Social Relationship labeling Based on Multimodal Behaviors and Social Interactions
Soft Pseudo-labeling Semi-supervised Learning Applied to Fine-grained Visual Classification
Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation
Soft-Split Random Forest for Anatomy labeling
Solution Algorithm for the Consistent labeling Problem Using the Structure of Constraints, A
Solving Consistent labeling Problems Having The Separation Property
Solving the General Consistent labeling (or Constraint Satisfaction) Problem: Two Algorithms and Their Expected Complexities
Some approaches to optimal cluster labeling with applications to remote sensing
Some Properties of Stochastic labeling Procedures
Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and labeling Transfer
Source-free domain adaptation via dynamic pseudo labeling and Self-supervision
Spaghetti labeling: Directed Acyclic Graphs for Block-Based Connected Components Labeling
Spaghetti labeling: Directed Acyclic Graphs for Block-Based Connected Components Labeling
Sparse Representation-Based Sample Pseudo-labeling Method for Hyperspectral Image Classification, A
Spatial-temporal consistent labeling of tracked pedestrians across non-overlapping camera views
Spectral Contextual Classification of Hyperspectral Imagery With Probabilistic Relaxation labeling
SPICE: Semantic Pseudo-labeling for Image Clustering
SQL: Superpixels via quaternary labeling
SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role labeling
Stacked Hierarchical labeling
Stacked Learning to Search for Scene labeling
Stage of Decay Estimation Exploiting Exogenous and Endogenous Image Attributes to Minimize Manual labeling Efforts and Maximize Classification Performance
Stixmentation: Probabilistic Stixel based Traffic Scene labeling
Stochastic Fine-grained labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition
Structural Attention Enhanced Continual Meta-Learning for Graph Edge labeling Based Few-Shot Remote Sensing Scene Classification
structured regularization framework for spatially smoothing semantic labelings of 3D point clouds, A
Structured Set Matching Networks for One-Shot Part labeling
study of Nesterov's scheme for Lagrangian decomposition and MAP labeling, A
Superpixel labeling Priors and MRF for Aerial Video Segmentation
Supervised hypergraph labeling
Supervised Patch-Based Approach for Human Brain labeling, A
Supervised Pixel Relaxation labeling as a Means for Utilizing Ancillary Information in the Classification of Remote Sensing Image Data
Surface-based labeling of cortical anatomy using a deformable atlas
Symbolic Pixel labeling for Curvilinear Feature Detection
Symmetric Diffeomorphic Image Registration: Evaluating Automated labeling of Elderly and Neurodegenerative Cortex and Frontal Lobe
Syntatic Segmentation and labeling of Digitized Pages from Technical Journals
Synthetic aperture imaging using pixel labeling via energy minimization
Systematic Approach to Continuous Graph labeling with Application to Computer Vision, A
Systematic labeling Bias: De-biasing Where Everyone is Wrong
Systolic Approach For Real-Time Connected Component labeling, A
Systolic Architecture for labeling the Connected Components in Multi-Valued Images in Real Time, A
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel labeling
Texture feature characterization for logical pre-labeling
Texture-Enhanced Deep Learning Network for Cloud Detection of GaoFen/WFV by Integrating an Object-Oriented Dynamic Threshold labeling Method and Texture-Feature-Enhanced Attention Module, A
Theory and Practice of Bayesian Image labeling, The
Thermal Invariants for Material labeling and Site Monitoring Using Midwave Infrared Imagery
Thinning binary pictures by a labeling procedure
Tiered scene labeling with dynamic programming
Tight Convex Relaxations for Vector-Valued labeling
Tight convex relaxations for vector-valued labeling problems
TNN: Tree Neural Network for Airway Anatomical labeling
Token labeling-guided multi-scale medical image classification
Top-Down Learning for Structured labeling with Convolutional Pseudoprior
Topographic-Based Feature labeling for Infrared Oceanographic Images
Topology Preserving Relaxation labeling for Nonrigid Point Matching
Toward a Low-Level Description of Dot Clusters: labeling Edge, Interior, and Noise Points
Toward accurate real-time marker labeling for live optical motion capture
Toward reliable experiments on the performance of Connected Components labeling algorithms
Towards Protein Interaction Analysis through Surface labeling
Towards Pseudo-labeling with Dynamic Thresholds for Cross-View Image Geolocalization
Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic labeling
Tracking and Semantic labeling of Boundary Data
Tracking with context as a semi-supervised learning and labeling problem
Tree-Structured CRF Models for Interactive Image labeling
Tree-Structured Models for Efficient Multi-Cue Scene labeling
Trespassing the Boundaries: labeling Temporal Bounds for Object Interactions in Egocentric Video
TVp Regularized Mumford-Shah Model for Image labeling and Segmentation, The
Two Efficient Label-Equivalence-Based Connected-Component labeling Algorithms for 3-D Binary Images
Two More Strategies to Speed Up Connected Components labeling Algorithms
two pass labeling algorithm for automatic schistosome egg detection and counting, A
Two Polynomial Time Graph labeling Algorithms Optimizing Max-Norm-Based Objective Functions
Uncertainty Awareness Enables Efficient labeling for Cancer Subtyping in Digital Pathology
Uncertainty-aware hierarchical labeling for face forgery detection
Uni-EPM: A Unified Extensible Perception Model Without labeling Everything
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-labeling
Unsupervised Global Urban Area Mapping via Automatic labeling from ASTER and PALSAR Satellite Images
Unsupervised Joint Feature Learning and Encoding for RGB-D Scene labeling
Unsupervised labeling Approach for Hyperspectral Image Classification, An
Unsupervised labeling by Geometric and Spatially Regularized Self-assignment
Unsupervised Person Re-Identification With Wireless Positioning Under Weak Scene labeling
Unsupervised segmentation of low clouds from infrared METEOSAT images based on a contextual spatio-temporal labeling approach
Unsupervised Selective labeling for More Effective Semi-supervised Learning
Unsupervised Semantic Scene labeling for Streaming Data
Unsupervised video object segmentation by supertrajectory labeling
Urban DEM Generation from Raw Lidar Data: A labeling Algorithm and its Performance
Using Anatomic Magnetic Resonance Image Information to Enhance Visualization and Interpretation of Functional Images: A Comparison of Methods Applied to Clinical Arterial Spin labeling Images
Utilizing Different Link Types to Enhance Document Clustering Based on Markov Random Field Model With Relaxation labeling
Validation of Land Cover Maps in China Using a Sampling-Based labeling Approach
Variations in Relaxation labeling Techniques
Vector quantization with memory and multi-labeling for isolated video-only automatic speech recognition
Very Fast Algorithm for Simultaneously Performing Connected-Component labeling and Euler Number Computing, A
VIAL: a unified process for visual interactive labeling
Video figure ground labeling
Video Segmentation by MAP labeling of Watershed Segments
Video segmentation with joint object and trajectory labeling
VideoAL: A novel end-to-end MPEG-7 video automatic labeling system
View labeling for Automated Interpretation of Engineering Drawings
Visual exploration and functional document labeling
Visual keywords labeling in soccer video
Visual Semantic Role labeling for Video Understanding
VLM-PL: Advanced Pseudo labeling approach for Class Incremental Object Detection via Vision-Language Model
VLSI Implementation of Fast Connected Component labeling Using Finite State Machine Based Cell Network
Voice-Assisted Image labeling for Endoscopic Ultrasound Classification Using Neural Networks
Volume-Based Semantic labeling with Signed Distance Functions
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-Consistency
Watershed-driven relaxation labeling for image segmentation
Wavelet-Based System for Recognition and labeling of Polyhedral Junctions
Weakly Supervised Action labeling in Videos under Ordering Constraints
Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation
Weakly supervised labeling of dominant image regions in indoor sequences
Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling
Weakly-Supervised Audio-Visual Video Parsing with Prototype-Based Pseudo-labeling
Weakly-supervised labeling of seismic volumes using reference exemplars
What is the World's Fastest Connected Component labeling Algorithm?
Window annealing for pixel-labeling problems
YACCLAB: Yet Another Connected Components labeling Benchmark
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Addressing out-of-distribution label noise in webly-labelled data
Aesthetic Image Captioning From Weakly-labelled Photographs
Automatic production of synthetic labelled OCT images using an active shape model
Bayesian Joint Modelling for Object Localisation in Weakly labelled Images
Bootstrapping labelled Dataset Construction for Cow Tracking and Behavior Analysis
Camera parameters estimation from hand-labelled sun positions in image sequences
Contour Detection of labelled Cellular Structures from Serial Ultrathin Electron Microscopy Sections using GAC and Prior Analysis
Dealing with Scarce labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images
Deep Facial Action Unit Recognition and Intensity Estimation from Partially labelled Data
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly labelled
Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data
Determining Location and Orientation of a labelled Cylinder Using Point-Pair Estimation Algorithm
DLWL: Improving Detection for Lowshot Classes With Weakly labelled Data
Dominant Local Binary Patterns for Texture Classification: labelled or Unlabelled?
Enhanced generation of automatically labelled image segmentation datasets by advanced style interpreter deep architectures
Evaluation of Structure Recognition Using labelled Facade Images
Finding Faces in Cluttered Scenes Using labelled Random Graph Matching
FLIC: Frames labelled in Cinema
Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data
In Defence of Negative Mining for Annotating Weakly labelled Data
Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition
labelled Cell Classifier: A Fast Approximation to k Nearest Neighbors, The
labelled Non-Zero Diffusion Particle Flow SMC-PHD Filtering for Multi-Speaker Tracking
Large Scale labelled Video Data Augmentation for Semantic Segmentation in Driving Scenarios
Learning Discriminative Space-Time Action Parts from Weakly labelled Videos
Learning discriminative space-time actions from weakly labelled videos
Learning With Limited labelled Data for Image and Video Understanding
Learning Wormholes for Sparsely labelled Clustering
Local Operations on labelled Dots Patterns
MaskCon: Masked Contrastive Learning for Coarse-labelled Dataset
Non-concept density estimation via kernel regression for concept ranking in weakly labelled data
On the Incremental Learning and Recognition of the Pattern of Movement of Multiple labelled Objects in Dynamic Scenes
Pattern recognition from compressed labelled trees of fuzzy regions
Recognition Using labelled Objects
Recursive Tracking of Image Points Using labelled Graph Matching
Registration of Untracked 2D Laparoscopic Ultrasound to CT Images of the Liver Using Multi-labelled Content-Based Image Retrieval
Similarity measure of labelled images
Soft Hough Forest-ERTs: Generalized Hough Transform based object detection from soft-labelled training data
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly labelled Videos
SuMoTED: An intuitive edit distance between rooted unordered uniquely-labelled trees
Synchronization of Group-labelled Multi-graphs
Unsupervised Confidence Approximation: Trustworthy Learning from Noisy labelled Data
Visual graph analysis for quality assessment of manually labelled documents image database
Visual Music Transcription of Clarinet Video Recordings Trained with Audio-Based labelled Data
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ALPI: Auto-labeller with Proxy Injection for 3D Object Detection using 2D Labels Only

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2D Segmentation and labelling of Clustered Ring Shaped Objects
3D face landmark labelling
3DSFlabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-Labelling
Abbreviating labelling Cost for Sentinel-2 Image Scene Classification Through Active Learning
Accelerated hardware video object segmentation: From foreground detection to connected components labelling
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
Active Learning for Dialogue Act labelling
Affine invariant shape projection distribution for shape matching using relaxation labelling
Algorithms for Realtime Component labelling of Images
Analysis of Stochastic Automata Algorithm for Relaxation labelling
ANNs-Based Method for Automated labelling of Schematic Metro Maps, An
Application of Relaxation labelling to Spring-Loaded Template Matching, An
Architecture for Image labelling in Real Conditions
Aspect coherence for graph-based semantic image labelling
Automated Line labelling: Dataset for Contour Detection and 3D Reconstruction
Automated Matching of Multi-Scale Building Data Based on Relaxation labelling and Pattern Combinations
Automated Segmentation of Low-Light Level Imagery using Poisson MAP-MRF labelling
Automated Video Face labelling for Films and TV Material
Automatic Cross-Biometric Footstep Database labelling Using Speaker Recognition
Automatic Detection and labelling of Photogrammetric Control Points In A Calibration Test Field
Automatic Detection and labelling of the Human Cortical Folds in Magnetic Resonance Data Sets
Automatic labelling and Selection of Training Samples for High-Resolution Remote Sensing Image Classification over Urban Areas
Automatic labelling of brain tissues in MR images through spatial indexes based hybrid atlas forest
Automatically parsing and labelling video based on camera motion qualitative analysis
Bayesian labelling of Corners Using a Grey-Level Corner Image Model
Bisection approach for pixel labelling problem
Body Part labelling with Minkowski Networks
Boundary and Object labelling in Three-Dimensional Images
Boundary Matching Algorithm for Connected Component labelling Using Linear Quadtrees
case-study on naive labelling for the nearest mean and the linear discriminant classifiers, A
Challenges of labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak
Classification Of Urban Aerial Data Based On Pixel labelling With Deep Convolutional Neural Networks And Logistic Regression
Cochannel speaker count labelling based on the use of cepstral and pitch prediction derived features
Collaterally Cued labelling Framework Underpinning Semantic-Level Visual Content Descriptor
Colour-Based Semantic Line labelling
Component labelling on a MIMD Multiprocessor
Conditional random field-based image labelling combining features of pixels, segments and regions
Connected Component labelling on the Blitzen Massively Parallel Processor
Consistent inexact graph matching applied to labelling coronary segments in arteriograms
Consistent labelling of Image Features Using an Assumption-Based Truth Maintenance System
Consistent Partition and labelling of Text Blocks
Consistent topographic surface labelling
Constraints Between Distant Lines in the labelling of Line Drawings of Polyhedral Scenes
Content Based Image Retrieval Using Region labelling
Continuous action recognition with weakly labelling videos
Correspondence labelling for wide-timeframe free-form surface matching
Decomposition of Digital Clumps into Convex Parts by Contour Tracing and labelling
Deformable Model using Probabalistic labelling and Surface Relaxation to Segment MR Volumes, A
Discrete labelling Approach to Attributed Graph Matching Using SIFT Features, A
dynamic classifier selection and combination approach to image region labelling, A
Edge labelling by Fusion of Intensity and Range Data
Effective semantic pixel labelling with convolutional networks and Conditional Random Fields
Efficient Cell labelling for Gram Stain WSIs
Efficient dense labelling of human activity sequences from wearables using fully convolutional networks
Efficient labelling of Pedestrian Supervisions
Error Factor Analysis for Wild Scene Image-labelling
Euclidean Voronoi labelling on the Multidimensional Grid
Exploiting Sparsity for Real Time Video labelling
Exploration of the labelling Space Given Graph Edit Distance Costs
Exploring Image Specific Structured Loss for Image Annotation with Incomplete labelling
Extending Semantic Edge labelling
Eye-tracking for efficient database labelling: Applications to automatic analysis of colonoscopy video
Fast Component labelling and Convex Hull Computation on Reconfigurable Meshes
Fast connected-component labelling in three-dimensional binary images based on iterative recursion
Fast labelling of Natural Scenes Using Enhanced Knowledge
Fast Multi-labelling for Stereo Matching
Fast Object Class labelling via Speech
Feature labelling in infrared oceanographic images
Finepseudo: Improving Pseudo-labelling Through Temporal-alignablity for Semi-supervised Fine-grained Action Recognition
Frontal Geometry from Sketches of Engineering Objects: Is Line labelling Necessary
Fully-Automatic Branch labelling of Voxel Vessel
Genetic algorithm with competitive image labelling and least square
genetic algorithm-based clustering and two-scan labelling for colour image segmentation, A
Genetic algorithms for ambiguous labelling problems
Graph labelling Algorithms for Picture Analysis
Graph Spectral Approach to Consistent labelling, A
GraphXCOVID: Explainable deep graph diffusion pseudo-labelling for identifying COVID-19 on chest X-rays
Guiding labelling Effort for Efficient Learning With Georeferenced Images
Handwritten Character Recognition by Parallel labelling and Shape Analysis
Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene labelling
Hierarchical visual thesaurus building for satellite image retrieval based on semantic region labelling
High-Speed Pipeline Processor for Regional labelling Based on a New Algorithm, A
Hybrid object labelling in digital images
Implementation of the Hough Transformation for the Identification and labelling of Fixed Period Sinusoidal Curves, An
Improved Image Annotation and labelling through Multi-Label Boosting
Improved labelling for the INRIA Person Data Set for Pedestrian Detection, An
Improvement of a Person labelling Method Using Extracted Knowledge on Costume
Improving pseudo-labelling for semi-supervised single-class instance segmentation via mask symmetry scoring
In-Place Scene labelling and Understanding with Implicit Scene Representation
Incorporating Connected Region labelling into Automatic Image Registration Using Mutual Information
Junction Catalogue for labelling Line Drawings of Polyhedra with Tetrahedral Vertices, The
Kernelised Relaxation labelling using Fokker-Planck Diffusion
Label Propagation on Facial Images Using Similarity and Dissimilarity labelling Constraints
labelling 2-D Geometric Primitives Using Probabilistic Relaxation: Reducing the Computational Requirements
labelling and evaluation of 3D objects segmentation using multiclass boosting algorithm
labelling color images by modelling the colors density using a linear combination of Gaussians and EM algorithm
labelling Line Drawings of Curved Objects
labelling logical structures of document images using a dynamic perceptive neural network
labelling Of Three Dimensional Human Body Scans: A Topological Approach
labelling strategies for hierarchical multi-label classification techniques
labelling the Behaviour of Local Descriptors for Selective Video Content Retrieval
labelling the Gaps: A Weakly Supervised Automatic Eye Gaze Estimation
large scale footstep database for biometric studies created using cross-biometrics for labelling, A
Learning class-specific affinities for image labelling
Learning Domain Knowledge for Facade labelling
Learning Saliency From Single Noisy labelling: A Robust Model Fitting Perspective
Leveraging Temporal Data for Automatic labelling of Static Vehicles
Linear Complexity Procedure for labelling Line Drawings of Polyhedral Scenes Using Vanishing Points, A
Linear Time Algorithms for an Image labelling Machine
Local Behaviours labelling for Content Based Video Copy Detection
Long-Term 3D Localization and Pose from Semantic labellings
Model-Guided Segmentation and Layout labelling of Document Images Using a Hierarchical Conditional Random Field
Modelling Compatibility Coefficient Distributions for Probabilistic Feature-labelling Schemes
Modelling discontinuous terrain from DSMs using segment labelling, outlier removal and thin-plate splines
Models and algorithms for computing the common labelling of a set of attributed graphs
Multi-agent detection and labelling of activity patterns
Multiresolution Edge labelling Using Hierarchical Relaxation
MVL-Net: Pairwise Learning for Multi-View Multiple People labelling
Neural Decision Forests for Semantic Image labelling
neural Network Approach to labelling of Line Drawings, A
Non-Gibbsian Markov random field models for contextual labelling of structured scenes
Novel Multi-View labelling Network Based on Pairwise Learning, A
Object recognition by symmetrised graph matching using relaxation labelling with an inhibitory mechanism
On the Computation of the Common labelling of a Set of Attributed Graphs
On the Relation between the Common labelling and the Median Graph
On the Use of Relaxation labelling in the Correspondence Problem
Outdoor scene labelling with learned features and region consistency activation
Page classification through logical labelling
Parallel Binocular Stereo Algorithm Utilizing Dynamic Programming and Relaxation labelling, A
Parallel Graduated Assignment Algorithm for Multiple Graph Matching Based on a Common labelling
Parallel Imperative and Functional Approaches to Visual Scene labelling
Patch-Based Approach for the Segmentation of Pathologies: Application to Glioma labelling, A
Perfect labelling: A Review and Outlook of Label Optimization Techniques in Dynamic Earth Observation
Pixel labelling for 3-D scenes based on Markov mesh models
Probabilistic Approach to Building Roof Reconstruction Using Semantic labelling, A
Probabilistic Framework to Obtain a Common labelling between Attributed Graphs, A
Probabilistic relaxation labelling using the Fokker-Planck equation
Pseudo-labelling Meets Label Smoothing for Noisy Partial Label Learning
Pseudo-labelling Should Be Aware of Disguising Channel Activations
quadratic programming approach to image labelling, A
Quantum Based Pseudo-labelling for Hyperspectral Imagery: A Simple and Efficient Semi-Supervised Learning Method for Machine Learning Classifiers
Rectangle labelling for an Invoice Understanding System
Reducing the Pain: A Novel Tool for Efficient Ground-Truth labelling in Images
Region-growing approach to colour segmentation using 3D clustering and relaxation labelling
Relational graph labelling using learning techniques and markov random fields
Relaxation labelling Algorithms: A Review
Relaxation labelling and the Entropy of Neighborhood Information
Relaxation labelling and the Reduction of Local Ambiguities
Relaxation labelling, Local Ambiguity, and Low-Level Vision
Reliable Color labelling
robust non-iterative method for image labelling using context, A
Scan integration as a labelling problem
Segmentation and labelling of EEG for Brain Computer Interfaces
Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting
Semantic graph and arc consistency in true three dimensional image labelling
Semantic Image labelling as a Label Puzzle Game
Semantic Segmentation of Sparsely Annotated 3D Point Clouds by Pseudo-labelling
Semantic-associative visual content labelling and retrieval: A multimodal approach
Semi-supervised image labelling using barycentric graph embeddings
Sign Segmentation with Changepoint-Modulated Pseudo-labelling
Single-Scan Algorithm for Connected Components labelling in a Traffic Monitoring Application, A
SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling
Spatio-Temporal Relaxation labelling Applied to Segmented Infrared Image Sequences
Structured class-labels in random forests for semantic image labelling
Structured forests for pixel-level hand detection and hand part labelling
Structured Labels in Random Forests for Semantic labelling and Object Detection
Structured Local Predictors for image labelling
Study on SAMPA_ST for Lhasa Tibetan and realization of automatic labelling system
Text/graphic labelling of ancient printed documents
Topological labelling of Scene using Background/Foreground Separation and Epipolar Geometry
UAV Based Weed Pressure Detection Through Relative labelling
Understanding and Mitigating Human-labelling Errors in Supervised Contrastive Learning
Unlocking Comparative Plant Scoring with Siamese Neural Networks and Pairwise Pseudo labelling
Unsupervised Domain Adaptation for Weed Segmentation Using Greedy Pseudo-labelling
Use of random graph parsing for scene labelling by probabilistic relaxation
Video Behaviour Profiling and Abnormality Detection without Manual labelling
Voxel labelling in CT images with data-driven contextual features
Who's that Actor? Automatic labelling of Actors in TV Series Starting from IMDB Images
Whole Slide Image Classification via Iterative Patch labelling
179 for labelling

_labelmaker_
ARKit labelmaker: A New Scale for Indoor 3D Scene Understanding
labelmaker: Automatic Semantic Label Generation from RGB-D Trajectories

_labelme_
labelme video: Building a video database with human annotations
labelme: A Database and Web-Based Tool for Image Annotation
labelme: Online Image Annotation and Applications

_labelr_
labelrS: An Automated Toolbox to Make Deep Learning Samples from Remote Sensing Images

_labels4free_
labels4free: Unsupervised Segmentation using StyleGAN

_labelset_
Active k-labelsets ensemble for multi-label classification
Fast random k-labelsets for large-scale multi-label classification
k-labelsets for Multimedia Classification with Global and Local Label Correlation
labelset anchored subspace ensemble (LASE) for multi-label annotation

Index for "l"

Last update: 4-Jun-26 17:10:49
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