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 301–350 of 1488 papers

TitleStatusHype
Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-IdentificationCode1
CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-IdentificationCode1
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal PerspectiveCode1
Faster Person Re-IdentificationCode1
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identificationCode1
Pose-guided Visible Part Matching for Occluded Person ReIDCode1
Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identificationCode1
Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-IdentificationCode1
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine LearningCode1
ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-IdentificationCode1
Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-IdentificationCode1
Feature Erasing and Diffusion Network for Occluded Person Re-IdentificationCode1
FPB: Feature Pyramid Branch for Person Re-IdentificationCode1
FlipReID: Closing the Gap between Training and Inference in Person Re-IdentificationCode1
Norm-Aware Embedding for Efficient Person SearchCode1
Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identificationCode1
Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identificationCode1
Patch-based Knowledge Distillation for Lifelong Person Re-IdentificationCode1
Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time AspectCode1
Rethinking Sampling Strategies for Unsupervised Person Re-identificationCode1
Graph-based Person Signature for Person Re-IdentificationsCode1
Deep Learning for Person Re-identification: A Survey and OutlookCode1
Graph Convolution for Re-ranking in Person Re-identificationCode1
Graph Convolution Based Efficient Re-Ranking for Visual RetrievalCode1
Person Re-identification Method Based on Color Attack and Joint DefenceCode1
Robust Re-Identification by Multiple Views Knowledge DistillationCode1
TransReID: Transformer-based Object Re-IdentificationCode1
Attribute-Aware Attention Model for Fine-grained Representation LearningCode0
Mixed High-Order Attention Network for Person Re-IdentificationCode0
AlignedReID: Surpassing Human-Level Performance in Person Re-IdentificationCode0
Content-Adaptive Auto-Occlusion Network for Occluded Person Re-IdentificationCode0
Mining False Positive Examples for Text-Based Person Re-identificationCode0
Multi-Attribute Enhancement Network for Person SearchCode0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
Mask-Guided Contrastive Attention Model for Person Re-IdentificationCode0
AlignedReID++: Dynamically matching local information for person re-identificationCode0
Attention Map Guided Transformer Pruning for Edge DeviceCode0
Combined Depth Space based Architecture Search For Person Re-identificationCode0
Adaptively Connected Neural NetworksCode0
Meta Pairwise Relationship Distillation for Unsupervised Person Re-IdentificationCode0
A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from DatasetsCode0
Look Closer to Your Enemy: Learning to Attack via Teacher-Student MimickingCode0
3C: Confidence-Guided Clustering and Contrastive Learning for Unsupervised Person Re-IdentificationCode0
ABD-Net: Attentive but Diverse Person Re-IdentificationCode0
MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identificationCode0
Learning Transferable Pedestrian Representation from Multimodal Information SupervisionCode0
Leveraging Virtual and Real Person for Unsupervised Person Re-identificationCode0
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-IdentificationCode0
Adaptive Graph Representation Learning for Video Person Re-identificationCode0
Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identificationCode0
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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