SOTAVerified

Person Re-Identification

Person Re-Identification is a computer vision task in which the goal is to match a person's identity across different cameras or locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing to match their identity in different frames. The goal is to associate the same person across multiple non-overlapping camera views in a robust and efficient manner.

Papers

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Showing 501–550 of 1488 papers

TitleStatusHype
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identificationCode0
Unsupervised Domain Adaptive Person Re-id with Local-enhance and Prototype Dictionary Learning—0
Multi-Level Attention for Unsupervised Person Re-Identification—0
Multi-Domain Joint Training for Person Re-Identification—0
Short Range Correlation Transformer for Occluded Person Re-Identification—0
Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification—0
Salient-to-Broad Transition for Video Person Re-IdentificationCode1
Augmented Geometric Distillation for Data-Free Incremental Person ReID—0
FAM: Visual Explanations for the Feature Representations From Deep Convolutional Networks—0
Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification—0
PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose TrackingCode1
Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification—0
Learning With Twin Noisy Labels for Visible-Infrared Person Re-IdentificationCode1
Id-Free Person Similarity Learning—0
AutoLoss-GMS: Searching Generalized Margin-Based Softmax Loss Function for Person Re-Identification—0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification—0
Quality-aware Part Models for Occluded Person Re-identification—0
Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-IdentificationCode1
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identificationCode1
Unsupervised Clustering Active Learning for Person Re-identification—0
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID—0
Camera-aware Style Separation and Contrastive Learning for Unsupervised Person Re-identification—0
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identificationCode1
Feature Erasing and Diffusion Network for Occluded Person Re-IdentificationCode1
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation—0
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-IdentificationCode1
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification—0
Dual Cluster Contrastive learning for Object Re-IdentificationCode0
HBReID: Harder Batch for Re-identification—0
Pose-guided Feature Disentangling for Occluded Person Re-identification Based on TransformerCode1
Mind Your Clever Neighbours: Unsupervised Person Re-identification via Adaptive Clustering Relationship Modeling—0
Stronger Baseline for Person Re-Identification—0
Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-IdentificationCode0
Subtask-dominated Transfer Learning for Long-tail Person Search—0
Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive FrameworkCode0
MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark—0
PGGANet: Pose Guided Graph Attention Network for Person Re-identification—0
Learning Context-Aware Embedding for Person Search—0
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification—0
Unsupervised Domain Adaptive Person Re-Identification via Human Learning Imitation—0
Calibrated Feature Decomposition for Generalizable Person Re-IdentificationCode1
Self-Supervised Pre-Training for Transformer-Based Person Re-IdentificationCode1
Meta Clustering Learning for Large-scale Unsupervised Person Re-identification—0
Person Re-identification Method Based on Color Attack and Joint DefenceCode1
Improving Person Re-Identification with Temporal Constraints—0
Keypoint Message Passing for Video-based Person Re-IdentificationCode1
Learning to Disentangle Scenes for Person Re-identificationCode0
Exploiting Robust Unsupervised Video Person Re-identificationCode0
Re-ID-AR: Improved Person Re-identification in Video via Joint Weakly Supervised Action RecognitionCode0
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All datasetsMarket-1501DukeMTMC-reIDMSMT17Occluded-DukeMTMCMarket-1501-CCUHK03 detectedCUHK03 labeledMARSCUHK03LTCCPRCCPRID2011

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1st-ReID(RE, RK)Rank-198—Unverified
2SSKD(GH)Rank-197.36—Unverified
3CLIP-ReID+Pose2ID (no RK)Rank-197.3—Unverified
4SOLIDER +UFFM+AMCRank-197—Unverified
5Unsupervised Pre-training (ResNet101+MGN)Rank-197—Unverified
6RGT&RGPR (RK)Rank-196.9—Unverified
7SOLIDERRank-196.9—Unverified
8LightMBN (RR)Rank-196.8—Unverified
9Viewpoint-Aware Loss(RK)Rank-196.79—Unverified
10SOLIDER (RK)Rank-196.7—Unverified
#ModelMetricClaimedVerifiedStatus
1DenseILmAP97.1—Unverified
2CTL Model (ResNet50, 256x128)mAP96.1—Unverified
3BPBreID (RK)mAP92.9—Unverified
4Unsupervised Pre-training (ResNet101+RK)mAP92.77—Unverified
5st-ReID(RE, RK,Cam)mAP92.7—Unverified
6RGT&RGPR (RK)mAP92.7—Unverified
7Viewpoint-Aware Loss(RK)mAP91.8—Unverified
8LDS (ResNet50 + RK)mAP91—Unverified
9Adaptive L2 Regularization (with re-ranking)mAP90.7—Unverified
10FlipReID (with re-ranking)mAP90.7—Unverified