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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–400 of 1488 papers

TitleStatusHype
Evolution of ReID: From Early Methods to LLM Integration—0
Exciting-Inhibition Network for Person Reidentification in Internet of Things—0
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning—0
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification—0
Collaborative Attention Network for Person Re-identification—0
Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification—0
Adaptive Intra-Class Variation Contrastive Learning for Unsupervised Person Re-Identification—0
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification—0
Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification—0
Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck—0
Coarse Attribute Prediction with Task Agnostic Distillation for Real World Clothes Changing ReID—0
Attention-based Few-Shot Person Re-identification Using Meta Learning—0
A heterogeneous branch and multi-level classification network for person re-identification—0
ESA-ReID: Entropy-Based Semantic Feature Alignment for Person re-ID—0
CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification—0
Attention-Aware Compositional Network for Person Re-identification—0
Cluster Loss for Person Re-Identification—0
Attention: A Big Surprise for Cross-Domain Person Re-Identification—0
Attend to the Difference: Cross-Modality Person Re-identification via Contrastive Correlation—0
Attack-Guided Perceptual Data Generation for Real-World Re-Identification—0
Clothing Status Awareness for Long-Term Person Re-Identification—0
Clothing-Change Feature Augmentation for Person Re-Identification—0
Ensemble Feature for Person Re-Identification—0
Event-based Video Person Re-identification via Cross-Modality and Temporal Collaboration—0
Clothes-Invariant Feature Learning by Causal Intervention for Clothes-Changing Person Re-identification—0
Clothes-Changing Person Re-identification Based On Skeleton Dynamics—0
A Technical Report for ICCV 2021 VIPriors Re-identification Challenge—0
Clothes-Changing Person Re-Identification with Feasibility-Aware Intermediary Matching—0
Adaptive Generation of Privileged Intermediate Information for Visible-Infrared Person Re-Identification—0
Enhancing Person Re-Identification through Tensor Feature Fusion—0
CLIP-SCGI: Synthesized Caption-Guided Inversion for Person Re-Identification—0
A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets—0
Enhancing Long-Term Person Re-Identification Using Global, Local Body Part, and Head Streams—0
A Survey on 3D Skeleton Based Person Re-Identification: Approaches, Designs, Challenges, and Future Directions—0
CLIP-Driven Cloth-Agnostic Feature Learning for Cloth-Changing Person Re-Identification—0
CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification—0
Exploiting Prunability for Person Re-Identification—0
A framework with updateable joint images re-ranking for Person Re-identification—0
CLIP-Based Modality Compensation for Visible-Infrared Image Re-Identification—0
A Spectral Nonlocal Block for Neural Networks—0
Class Interference Regularization—0
AaP-ReID: Improved Attention-Aware Person Re-identification—0
Enhanced Visual-Semantic Interaction with Tailored Prompts for Pedestrian Attribute Recognition—0
Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person Re-Identification—0
A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification—0
AANet: Attribute Attention Network for Person Re-Identifications—0
Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification—0
CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction—0
End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification—0
ChatReID: Open-ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models—0
Show:102550
← PrevPage 8 of 30Next →
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
5RGT&RGPR (RK)mAP92.7—Unverified
6st-ReID(RE, RK,Cam)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