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 951–1000 of 1488 papers

TitleStatusHype
Spectral Aware Softmax for Visible-Infrared Person Re-Identification—0
Spectrum-guided Feature Enhancement Network for Event Person Re-Identification—0
SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification—0
Stable and Effective One-Step Method for Person Search—0
STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification—0
Stepwise Metric Promotion for Unsupervised Video Person Re-Identification—0
STNReID : Deep Convolutional Networks with Pairwise Spatial Transformer Networks for Partial Person Re-identification—0
Stronger Baseline for Person Re-Identification—0
Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification—0
Structured learning of metric ensembles with application to person re-identification—0
Subtask-dominated Transfer Learning for Long-tail Person Search—0
Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning—0
Survey on Deep Learning Techniques for Person Re-Identification Task—0
Survey on Reliable Deep Learning-Based Person Re-Identification Models: Are We There Yet?—0
SVDNet for Pedestrian Retrieval—0
Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification—0
Synthetic Data in Human Analysis: A Survey—0
Take More Positives: An Empirical Study of Contrastive Learing in Unsupervised Person Re-Identification—0
Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification—0
Taking Modality-free Human Identification as Zero-shot Learning—0
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification—0
Targeted Attention for Generalized- and Zero-Shot Learning—0
Technical Report for ReID-SAM on SkiTB Visual Tracking Challenge 2025—0
TeLL Me what you cant see—0
Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification—0
Temporal Continuity Based Unsupervised Learning for Person Re-Identification—0
Temporal Model Adaptation for Person Re-Identification—0
TextAug: Test time Text Augmentation for Multimodal Person Re-identification—0
The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification—0
The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching—0
The Group Loss++: A deeper look into group loss for deep metric learning—0
The Multi-Modal Video Reasoning and Analyzing Competition—0
Three-Stream Convolutional Networks for Video-based Person Re-Identification—0
Time-Frequency Analysis of Variable-Length WiFi CSI Signals for Person Re-Identification—0
TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition—0
Top-push Video-based Person Re-identification—0
Towards Discriminative Representation Learning for Unsupervised Person Re-identification—0
Towards Egocentric Person Re-identification and Social Pattern Analysis—0
Towards Fewer Labels: Support Pair Active Learning for Person Re-identification—0
Towards Generalizable Person Re-identification with a Bi-stream Generative Model—0
Towards Homogeneous Modality Learning and Multi-Granularity Information Exploration for Visible-Infrared Person Re-Identification—0
Towards Practical Implementations of Person Re-Identification from Full Video Frames—0
Towards Precise Intra-camera Supervised Person Re-identification—0
Towards Privacy-Preserving Person Re-identification via Person Identify Shift—0
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification—0
Towards Visually Explaining Similarity Models—0
Tracking by Prediction: A Deep Generative Model for Mutli-Person localisation and Tracking—0
Tran-GCN: A Transformer-Enhanced Graph Convolutional Network for Person Re-Identification in Monitoring Videos—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