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 751–800 of 1488 papers

TitleStatusHype
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification—0
Sequence-based Person Attribute Recognition with Joint CTC-Attention Model—0
Sequential Transformer for End-to-End Person Search—0
Set Augmented Triplet Loss for Video Person Re-Identification—0
SFANet: A Spectrum-aware Feature Augmentation Network for Visible-Infrared Person Re-Identification—0
SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-Identification Systems—0
Shape-centered Representation Learning for Visible-Infrared Person Re-identification—0
Sharp Attention Network via Adaptive Sampling for Person Re-identification—0
Short Range Correlation Transformer for Occluded Person Re-Identification—0
Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification—0
Similarity Learning With Spatial Constraints for Person Re-Identification—0
Similarity-preserving Image-image Domain Adaptation for Person Re-identification—0
Skeleton-Guided Spatial-Temporal Feature Learning for Video-Based Visible-Infrared Person Re-Identification—0
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification—0
Spatial-Aware GAN for Unsupervised Person Re-identification—0
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification—0
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos—0
Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification—0
Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification—0
Spatio-Temporal Representation Factorization for Video-based Person Re-Identification—0
Spatiotemporal Transformer for Video-based Person Re-identification—0
Spatio-Visual Fusion-Based Person Re-Identification for Overhead Fisheye Images—0
Specialized Re-Ranking: A Novel Retrieval-Verification Framework for Cloth Changing Person Re-Identification—0
Spectral Aware Softmax for Visible-Infrared Person Re-Identification—0
Spectrum-guided Feature Enhancement Network for Event Person Re-Identification—0
SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification—0
Stable and Effective One-Step Method for Person Search—0
STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification—0
Stepwise Metric Promotion for Unsupervised Video Person Re-Identification—0
STNReID : Deep Convolutional Networks with Pairwise Spatial Transformer Networks for Partial Person Re-identification—0
Stronger Baseline for Person Re-Identification—0
Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification—0
Structured learning of metric ensembles with application to person re-identification—0
Subtask-dominated Transfer Learning for Long-tail Person Search—0
Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning—0
Survey on Deep Learning Techniques for Person Re-Identification Task—0
Survey on Reliable Deep Learning-Based Person Re-Identification Models: Are We There Yet?—0
SVDNet for Pedestrian Retrieval—0
Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification—0
Synthetic Data in Human Analysis: A Survey—0
Take More Positives: An Empirical Study of Contrastive Learing in Unsupervised Person Re-Identification—0
Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification—0
Taking Modality-free Human Identification as Zero-shot Learning—0
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification—0
Targeted Attention for Generalized- and Zero-Shot Learning—0
Technical Report for ReID-SAM on SkiTB Visual Tracking Challenge 2025—0
TeLL Me what you cant see—0
Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification—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