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 851–900 of 1488 papers

TitleStatusHype
Adaptive L2 Regularization in Person Re-IdentificationCode1
ESA-ReID: Entropy-Based Semantic Feature Alignment for Person re-ID—0
Robust Re-Identification by Multiple Views Knowledge DistillationCode1
STADB: A Self-Thresholding Attention Guided ADB Network for Person Re-identificationCode0
Multiple Expert Brainstorming for Domain Adaptive Person Re-identificationCode1
A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification—0
Person search: New paradigm of person re-identification: A survey and outlook of recent works—0
Person Re-identification by analyzing Dynamic Variations in Gait Sequences—0
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-IdentificationCode1
A Symbolic Temporal Pooling method for Video-based Person Re-IdentificationCode0
Cross-Correlated Attention Networks for Person Re-Identification—0
Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identificationCode1
Bootstrap your own latent: A new approach to self-supervised LearningCode1
Attribute analysis with synthetic dataset for person re-identification—0
Branch-Cooperative OSNet for Person Re-Identification—0
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and BeyondCode1
Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person Re-identification—0
Parameter-Efficient Person Re-identification in the 3D SpaceCode1
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification—0
FastReID: A Pytorch Toolbox for General Instance Re-identificationCode2
A heterogeneous branch and multi-level classification network for person re-identification—0
Grafted network for person re-identification—0
Norm-Aware Embedding for Efficient Person SearchCode1
Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification—0
Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification—0
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification—0
Inter-Task Association Critic for Cross-Resolution Person Re-Identification—0
Salience-Guided Cascaded Suppression Network for Person Re-Identification—0
Global Distance-distributions Separation for Unsupervised Person Re-identification—0
Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-IdentificationCode1
Long-Term Cloth-Changing Person Re-identification—0
Style Normalization and Restitution for Generalizable Person Re-identificationCode1
Hierarchical and Efficient Learning for Person Re-Identification—0
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification—0
Joint Progressive Knowledge Distillation and Unsupervised Domain AdaptationCode0
Angular Triplet Loss-based Camera Network for ReID—0
End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification—0
Deep Learning based Person Re-identification—0
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic DataCode1
Survey on Reliable Deep Learning-Based Person Re-Identification Models: Are We There Yet?—0
Dynamic Sampling for Deep Metric Learning—0
Unsupervised Person Re-identification via Multi-label Classification—0
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification—0
Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos—0
Person Re-Identification via Active Hard Sample Mining—0
Real-world Person Re-Identification via Degradation Invariance Learning—0
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-RankingCode1
Unsupervised Person Re-identification via Softened Similarity LearningCode0
Learning Longterm Representations for Person Re-Identification Using Radio Signals—0
Pose-guided Visible Part Matching for Occluded Person ReIDCode1
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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