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 451–500 of 1488 papers

TitleStatusHype
Global Distance-distributions Separation for Unsupervised Person Re-identification—0
Global-Local Dynamic Feature Alignment Network for Person Re-Identification—0
Efficient Bilateral Cross-Modality Cluster Matching for Unsupervised Visible-Infrared Person ReID—0
Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification—0
Divide and Fuse: A Re-ranking Approach for Person Re-identification—0
EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos—0
Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification—0
Eliminating Background-Bias for Robust Person Re-Identification—0
A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification—0
Embedding Deep Metric for Person Re-identication A Study Against Large Variations—0
End-to-End Comparative Attention Networks for Person Re-identification—0
End-to-End Context-Aided Unicity Matching for Person Re-identification—0
Coarse Attribute Prediction with Task Agnostic Distillation for Real World Clothes Changing ReID—0
End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification—0
End-to-End Training of CNN Ensembles for Person Re-Identification—0
Energy Clustering for Unsupervised Person Re-identification—0
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification—0
Diverse Semantics-Guided Feature Alignment and Decoupling for Visible-Infrared Person Re-Identification—0
Enhancing Long-Term Person Re-Identification Using Global, Local Body Part, and Head Streams—0
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification—0
CCPA: Long-term Person Re-Identification via Contrastive Clothing and Pose Augmentation—0
Adversarial Pairwise Reverse Attention for Camera Performance Imbalance in Person Re-identification: New Dataset and Metrics—0
Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer—0
Enhancing Visible-Infrared Person Re-identification with Modality- and Instance-aware Visual Prompt Learning—0
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey—0
Diverse Deep Feature Ensemble Learning for Omni-Domain Generalized Person Re-identification—0
CARPE-ID: Continuously Adaptable Re-identification for Personalized Robot Assistance—0
ESA-ReID: Entropy-Based Semantic Feature Alignment for Person re-ID—0
A Semantic-aware Attention and Visual Shielding Network for Cloth-changing Person Re-identification—0
Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning—0
Evolution of ReID: From Early Methods to LLM Integration—0
Exciting-Inhibition Network for Person Reidentification in Internet of Things—0
Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification—0
Combining Two Adversarial Attacks Against Person Re-Identification Systems—0
GetNet: Get Target Area for Image Pairing—0
Exploiting Transitivity for Learning Person Re-Identification Models on a Budget—0
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning—0
Distribution Context Aware Loss for Person Re-identification—0
CAN: Composite Appearance Network for Person Tracking and How to Model Errors in a Tracking System—0
Confidence-guided Centroids for Unsupervised Person Re-Identification—0
A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systems—0
Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification—0
Exploring Part-Informed Visual-Language Learning for Person Re-Identification—0
Exploring Shape Embedding for Cloth-Changing Person Re-Identification via 2D-3D Correspondences—0
Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation—0
Exploring the Camera Bias of Person Re-identification—0
Exploring the Quality of GAN Generated Images for Person Re-Identification—0
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems—0
Distilled Person Re-Identification: Towards a More Scalable System—0
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning—0
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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