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 551–600 of 1488 papers

TitleStatusHype
Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identificationCode0
A Novel end-to-end Framework for Occluded Pixel Reconstruction with Spatio-temporal Features for Improved Person Re-identification—0
Learning Transferable Pedestrian Representation from Multimodal Information SupervisionCode0
PSLT: A Light-weight Vision Transformer with Ladder Self-Attention and Progressive Shift—0
Attention Map Guided Transformer Pruning for Edge DeviceCode0
PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification—0
MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification—0
Deep Learning for Video-based Person Re-Identification: A Survey—0
Open-World Pose Transfer via Sequential Test-Time Adaption—0
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification—0
Mining False Positive Examples for Text-Based Person Re-identificationCode0
Unsupervised Domain Adaptation for Cross-Regional Scenes Person Re-identification—0
Feature Completion Transformer for Occluded Person Re-identification—0
A Little Bit Attention Is All You Need for Person Re-Identification—0
On the Stability and Generalization of Triplet Learning—0
A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systems—0
Visible-Infrared Person Re-Identification via Patch-Mixed Cross-Modality Learning—0
DaliID: Distortion-Adaptive Learned Invariance for Identification Models—0
X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification—0
Spectral Aware Softmax for Visible-Infrared Person Re-Identification—0
Exploring Invariant Representation for Visible-Infrared Person Re-Identification—0
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning—0
Illumination Variation Correction Using Image Synthesis For Unsupervised Domain Adaptive Person Re-Identification—0
Robust Knowledge Adaptation for Federated Unsupervised Person ReID—0
Meta Generative Attack on Person Reidentification—0
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification—0
Learning Invariance from Generated Variance for Unsupervised Person Re-identificationCode0
Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning—0
Clothing-Change Feature Augmentation for Person Re-Identification—0
Discrepant and Multi-Instance Proxies for Unsupervised Person Re-Identification—0
Learning Concordant Attention via Target-aware Alignment for Visible-Infrared Person Re-identification—0
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery—0
TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition—0
Joint Discriminative and Metric Embedding Learning for Person Re-Identification—0
DiP: Learning Discriminative Implicit Parts for Person Re-IdentificationCode0
Spatio-Visual Fusion-Based Person Re-Identification for Overhead Fisheye Images—0
Benchmarking person re-identification datasets and approaches for practical real-world implementationsCode0
A Brief Survey on Person Recognition at a Distance—0
Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification—0
Occluded Person Re-Identification via Relational Adaptive Feature Correction Learning—0
Generalizable Person Re-Identification via Viewpoint Alignment and Fusion—0
Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification—0
Attribute De-biased Vision Transformer (AD-ViT) for Long-Term Person Re-identificationCode0
Confidence-guided Centroids for Unsupervised Person Re-Identification—0
Ranking Aggregation with Interactive Feedback for Collaborative Person Re-identificationCode0
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identificationCode0
Targeted Attention for Generalized- and Zero-Shot Learning—0
Using Auxiliary Information for Person Re-Identification -- A Tutorial Overview—0
Cross-Modality Transformer for Visible-Infrared Person Re-Identification—0
DMRNet++: Learning Discriminative Features with Decoupled Networks and Enriched Pairs for One-Step Person Search—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