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
Cross-modal Local Shortest Path and Global Enhancement for Visible-Thermal Person Re-Identification—0
Sports Re-ID: Improving Re-Identification Of Players In Broadcast Videos Of Team SportsCode1
Optimizing Performance of Federated Person Re-identification: Benchmarking and AnalysisCode1
Feature-Distribution Perturbation and Calibration for Generalized Person ReID—0
Fused Deep Neural Network based Transfer Learning in Occluded Face Classification and Person re-Identification—0
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-IdentificationCode0
Online Unsupervised Domain Adaptation for Person Re-identification—0
A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from DatasetsCode0
A Challenging Benchmark of Anime Style RecognitionCode1
Person Re-IdentificationCode2
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal PerspectiveCode1
Towards Fewer Labels: Support Pair Active Learning for Person Re-identification—0
SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-IdentificationCode1
Learning to Purification for Unsupervised Person Re-identification—0
NFormer: Robust Person Re-identification with Neighbor TransformerCode1
Deep Unlearning via Randomized Conditionally Independent HessiansCode1
Clothes-Changing Person Re-identification with RGB Modality OnlyCode1
Implicit Sample Extension for Unsupervised Person Re-Identification—0
Label Distribution Learning for Generalizable Multi-source Person Re-identification—0
Towards Homogeneous Modality Learning and Multi-Granularity Information Exploration for Visible-Infrared Person Re-Identification—0
The Self-Optimal-Transport Feature TransformCode1
Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-IdentificationCode1
The Group Loss++: A deeper look into group loss for deep metric learning—0
A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets—0
Template-Aware Transformer for Person ReidentificationCode1
Large-Scale Pre-training for Person Re-identification with Noisy LabelsCode2
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentificationCode1
Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationCode1
Unsupervised Lifelong Person Re-identification via Contrastive RehearsalCode1
Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection—0
PASS: Part-Aware Self-Supervised Pre-Training for Person Re-IdentificationCode1
Federated and Generalized Person Re-identification through Domain and Feature Hallucinating—0
User-Level Membership Inference Attack against Metric Embedding Learning—0
Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate DomainsCode1
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification—0
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification—0
Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-Identification—0
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification—0
Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption—0
Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends—0
Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian RetrievalCode1
Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian RetrievalCode1
Motion-Aware Transformer For Occluded Person Re-identification—0
Unsupervised Long-Term Person Re-Identification with Clothes Change—0
Leveraging Ensembles and Self-Supervised Learning for Fully-Unsupervised Person Re-Identification and Text Authorship AttributionCode0
Hybrid Contrastive Learning with Cluster Ensemble for Unsupervised Person Re-identification—0
Feature Diversity Learning with Sample Dropout for Unsupervised Domain Adaptive Person Re-identification—0
A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification—0
Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-identificationCode1
RealGait: Gait Recognition for 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