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 1–50 of 1488 papers

TitleStatusHype
Deep Residual Learning for Image RecognitionCode4
Keypoint Promptable Re-IdentificationCode3
Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual TasksCode3
ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single ModelCode2
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-IdentificationCode2
From Poses to Identity: Training-Free Person Re-Identification via Feature CentralizationCode2
Cross-video Identity Correlating for Person Re-identification Pre-trainingCode2
The Balanced-Pairwise-Affinities Feature TransformCode2
Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-identificationCode2
Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReIDCode2
View-decoupled Transformer for Person Re-identification under Aerial-ground Camera NetworkCode2
A Versatile Framework for Multi-scene Person Re-identificationCode2
Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identificationCode2
Exploring Color Invariance through Image-Level Ensemble LearningCode2
Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-IdentificationCode2
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text LabelsCode2
Body Part-Based Representation Learning for Occluded Person Re-IdentificationCode2
Person Re-IdentificationCode2
Large-Scale Pre-training for Person Re-identification with Noisy LabelsCode2
Semi-Supervised Domain Generalizable Person Re-IdentificationCode2
Guided Saliency Feature Learning for Person Re-identification in Crowded ScenesCode2
FastReID: A Pytorch Toolbox for General Instance Re-identificationCode2
Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric LearningCode2
A Simple Framework for Contrastive Learning of Visual RepresentationsCode2
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identificationCode2
Joint Discriminative and Generative Learning for Person Re-identificationCode2
Bag of Tricks and A Strong Baseline for Deep Person Re-identificationCode2
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identificationCode2
Pose-Normalized Image Generation for Person Re-identificationCode2
Random Erasing Data AugmentationCode2
Domain Generalization for Person Re-identification: A Survey Towards Domain-Agnostic Person MatchingCode1
Semantic-Aligned Learning with Collaborative Refinement for Unsupervised VI-ReIDCode1
Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identificationCode1
DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-IDCode1
Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identificationCode1
AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-IdentificationCode1
SeCap: Self-Calibrating and Adaptive Prompts for Cross-view Person Re-Identification in Aerial-Ground NetworksCode1
CHIRLA: Comprehensive High-resolution Identification and Re-identification for Large-scale AnalysisCode1
IUST_PersonReId: A New Domain in Person Re-Identification DatasetsCode1
Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-IdentificationCode1
Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from NeighborsCode1
Motif Guided Graph Transformer with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-IdentificationCode1
Generalizable Person Re-identification via Balancing Alignment and UniformityCode1
DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-IDCode1
ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-IdentificationCode1
Domain Consistency Representation Learning for Lifelong Person Re-IdentificationCode1
Prototype-Driven Multi-Feature Generation for Visible-Infrared Person Re-identificationCode1
Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation ApproachCode1
PersonViT: Large-scale Self-supervised Vision Transformer for Person Re-IdentificationCode1
Open-Set Biometrics: Beyond Good Closed-Set ModelsCode1
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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
10TransReID-SSL (ViT-B w/o 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