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 751–800 of 1488 papers

TitleStatusHype
GiT: Graph Interactive Transformer for Vehicle Re-identification—0
Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification—0
Domain adaptation for person re-identification on new unlabeled data using AlignedReID++Code0
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification—0
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-IdentificationCode0
Feature Completion for Occluded Person Re-IdentificationCode0
The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification—0
Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification—0
Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification—0
Person Re-Identification Using Heterogeneous Local Graph Attention Networks—0
Partial Person Re-Identification With Part-Part Correspondence Learning—0
Person30K: A Dual-Meta Generalization Network for Person Re-Identification—0
Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck—0
G2DA: Geometry-Guided Dual-Alignment Learning for RGB-Infrared Person Re-Identification—0
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-IdentificationCode0
Hard Samples Rectification for Unsupervised Cross-domain Person Re-identification—0
Unsupervised Video Person Re-identification via Noise and Hard frame Aware Clustering—0
Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer—0
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of AttentionCode0
Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification—0
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification—0
Improved Instance Discrimination and Feature Compactness for End-to-End Person SearchCode0
Generalizable Person Re-identification with Relevance-aware Mixture of Experts—0
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning—0
Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification—0
Stable and Effective One-Step Method for Person Search—0
Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-IdentificationCode0
Adaptive Domain-Specific Normalization for Generalizable Person Re-IdentificationCode0
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-IdentificationCode0
Pose-driven Attention-guided Image Generation for Person Re-Identification—0
Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification—0
Person Re-Identification by Context-aware Part Attention and Multi-Head Collaborative Learning—0
Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification—0
Self-Paced Uncertainty Estimation for One-shot Person Re-Identification—0
Wide-Baseline Multi-Camera Calibration using Person Re-Identification—0
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos—0
Holistic Guidance for Occluded Person Re-IdentificationCode0
Generalizable Multi-Camera 3D Pedestrian Detection—0
Pose Invariant Person Re-Identification using Robust Pose-transformation GANCode0
Unveiling personnel movement in a larger indoor area with a non-overlapping multi-camera system—0
Combined Depth Space based Architecture Search For Person Re-identificationCode0
Neural Feature Search for RGB-Infrared Person Re-Identification—0
Heuristics2Annotate: Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression—0
A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification—0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification—0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification—0
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning—0
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition—0
Spatiotemporal Transformer for Video-based 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