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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–700 of 1488 papers

TitleStatusHype
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
Learning to Purification for Unsupervised Person Re-identification—0
Towards Fewer Labels: Support Pair Active Learning for Person Re-identification—0
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 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
Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection—0
Federated and Generalized Person Re-identification through Domain and Feature Hallucinating—0
User-Level Membership Inference Attack against Metric Embedding Learning—0
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
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
RealGait: Gait Recognition for Person Re-Identification—0
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identificationCode0
Unsupervised Domain Adaptive Person Re-id with Local-enhance and Prototype Dictionary Learning—0
Multi-Level Attention for Unsupervised Person Re-Identification—0
Multi-Domain Joint Training for Person Re-Identification—0
Short Range Correlation Transformer for Occluded Person Re-Identification—0
FAM: Visual Explanations for the Feature Representations From Deep Convolutional Networks—0
Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification—0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification—0
Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification—0
Id-Free Person Similarity Learning—0
AutoLoss-GMS: Searching Generalized Margin-Based Softmax Loss Function for Person Re-Identification—0
Augmented Geometric Distillation for Data-Free Incremental Person ReID—0
Quality-aware Part Models for Occluded Person Re-identification—0
FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification—0
Unsupervised Clustering Active Learning for Person Re-identification—0
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID—0
Camera-aware Style Separation and Contrastive Learning for Unsupervised Person Re-identification—0
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation—0
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification—0
Dual Cluster Contrastive learning for Object Re-IdentificationCode0
HBReID: Harder Batch for Re-identification—0
Mind Your Clever Neighbours: Unsupervised Person Re-identification via Adaptive Clustering Relationship Modeling—0
Show:102550
← PrevPage 14 of 30Next →
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