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 401–450 of 1488 papers

TitleStatusHype
Class Interference Regularization—0
AaP-ReID: Improved Attention-Aware Person Re-identification—0
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification—0
Frequency Domain Modality-invariant Feature Learning for Visible-infrared Person Re-Identification—0
A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification—0
Domain Agnostic Learning for Unbiased Authentication—0
AANet: Attribute Attention Network for Person Re-Identifications—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
Feature Diversity Learning with Sample Dropout for Unsupervised Domain Adaptive Person Re-identification—0
Domain Camera Adaptation and Collaborative Multiple Feature Clustering for Unsupervised Person Re-ID—0
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification—0
Domain-adaptive Person Re-identification without Cross-camera Paired Samples—0
Domain Adaptive Egocentric Person Re-identification—0
ChatReID: Open-ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models—0
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning—0
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification—0
Domain Adaptation through Synthesis for Unsupervised Person Re-identification—0
A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification—0
CLIP-Based Modality Compensation for Visible-Infrared Image Re-Identification—0
DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio—0
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification—0
CLIP-Driven Cloth-Agnostic Feature Learning for Cloth-Changing Person Re-Identification—0
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification—0
Adaptive Deep Metric Embeddings for Person Re-Identification under Occlusions—0
Cerberus: Attribute-based person re-identification using semantic IDs—0
DMRNet++: Learning Discriminative Features with Decoupled Networks and Enriched Pairs for One-Step Person Search—0
Feature Completion Transformer for Occluded Person Re-identification—0
CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-identification—0
A Siamese Long Short-Term Memory Architecture for Human Re-Identification—0
Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification—0
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition—0
Feature-Distribution Perturbation and Calibration for Generalized Person ReID—0
Features for Multi-Target Multi-Camera Tracking and Re-Identification—0
Divide and Fuse: A Re-ranking Approach for Person Re-identification—0
Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification—0
A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification—0
Dynamic Identity-Guided Attention Network for Visible-Infrared Person Re-identification—0
Dynamic Label Graph Matching for Unsupervised Video Re-Identification—0
Dynamic Modality-Camera Invariant Clustering for Unsupervised Visible-Infrared Person Re-identification—0
Dynamic Patch-aware Enrichment Transformer for Occluded Person Re-Identification—0
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification—0
Dynamic Sampling for Deep Metric Learning—0
Dynamic Template Initialization for Part-Aware Person Re-ID—0
Diverse Semantics-Guided Feature Alignment and Decoupling for Visible-Infrared Person Re-Identification—0
Dynamic Token Selection for Aerial-Ground Person Re-Identification—0
Clothing Status Awareness for Long-Term Person Re-Identification—0
CCPA: Long-term Person Re-Identification via Contrastive Clothing and Pose Augmentation—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