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 651–700 of 1488 papers

TitleStatusHype
Efficient Bilateral Cross-Modality Cluster Matching for Unsupervised Visible-Infrared Person ReID—0
Efficient and Deep Person Re-Identification using Multi-Level Similarity—0
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints—0
Clothing Status Awareness for Long-Term Person Re-Identification—0
Dynamic Token Selection for Aerial-Ground Person Re-Identification—0
Dynamic Textual Prompt For Rehearsal-free Lifelong Person Re-identification—0
Clothing-Change Feature Augmentation for Person Re-Identification—0
Attend to the Difference: Cross-Modality Person Re-identification via Contrastive Correlation—0
Attack-Guided Perceptual Data Generation for Real-World Re-Identification—0
A heterogeneous branch and multi-level classification network for person re-identification—0
Adaptive Intra-Class Variation Contrastive Learning for Unsupervised Person Re-Identification—0
Dynamic Template Initialization for Part-Aware Person Re-ID—0
Dynamic Sampling for Deep Metric Learning—0
Clothes-Invariant Feature Learning by Causal Intervention for Clothes-Changing Person Re-identification—0
Dynamic Patch-aware Enrichment Transformer for Occluded Person Re-Identification—0
Clothes-Changing Person Re-identification Based On Skeleton Dynamics—0
Dynamic Modality-Camera Invariant Clustering for Unsupervised Visible-Infrared Person Re-identification—0
Dynamic Label Graph Matching for Unsupervised Video Re-Identification—0
Dynamic Identity-Guided Attention Network for Visible-Infrared Person Re-identification—0
Dynamic Gradient Reactivation for Backward Compatible Person Re-identification—0
Clothes-Changing Person Re-Identification with Feasibility-Aware Intermediary Matching—0
A Technical Report for ICCV 2021 VIPriors Re-identification Challenge—0
Dynamic Enhancement Network for Partial Multi-modality Person Re-identification—0
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition—0
CLIP-SCGI: Synthesized Caption-Guided Inversion for Person Re-Identification—0
A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets—0
DualFocus: Integrating Plausible Descriptions in Text-based Person Re-identification—0
A Survey on 3D Skeleton Based Person Re-Identification: Approaches, Designs, Challenges, and Future Directions—0
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification—0
CLIP-Driven Cloth-Agnostic Feature Learning for Cloth-Changing Person Re-Identification—0
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification—0
DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio—0
CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification—0
Exploiting Prunability for Person Re-Identification—0
Domain transfer convolutional attribute embedding—0
CLIP-Based Modality Compensation for Visible-Infrared Image Re-Identification—0
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning—0
Domain generalization Person Re-identification on Attention-aware multi-operation strategery—0
Domain Generalization: A Survey—0
Class Interference Regularization—0
A Spectral Nonlocal Block for Neural Networks—0
A framework with updateable joint images re-ranking for Person Re-identification—0
Adaptive Generation of Privileged Intermediate Information for Visible-Infrared Person Re-Identification—0
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification—0
Domain Camera Adaptation and Collaborative Multiple Feature Clustering for Unsupervised Person Re-ID—0
Domain Agnostic Learning for Unbiased Authentication—0
Domain Adversarial Training for Infrared-colour Person Re-Identification—0
Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification—0
Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation—0
CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction—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
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