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 901–950 of 1488 papers

TitleStatusHype
Robust Duality Learning for Unsupervised Visible-Infrared Person Re-Identification—0
Robust Knowledge Adaptation for Federated Unsupervised Person ReID—0
Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning—0
Robust Person Identification: A WiFi Vision-based Approach—0
Robust Person Re-Identification through Contextual Mutual Boosting—0
Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification—0
Running Event Visualization using Videos from Multiple Cameras—0
Salience-Guided Cascaded Suppression Network for Person Re-Identification—0
Sample-Specific SVM Learning for Person Re-Identification—0
SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification—0
Scalable Metric Learning via Weighted Approximate Rank Component Analysis—0
Scalable Person Re-Identification: A Benchmark—0
Scalable Person Re-identification on Supervised Smoothed Manifold—0
SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification—0
SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification—0
SD-ReID: View-aware Stable Diffusion for Aerial-Ground Person Re-Identification—0
SEAS: ShapE-Aligned Supervision for Person Re-Identification—0
Second-order Non-local Attention Networks for Person Re-identification—0
Second-Order Non-Local Attention Networks for Person Re-Identification—0
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification—0
Self-Critical Attention Learning for Person Re-Identification—0
Self-Paced Uncertainty Estimation for One-shot Person Re-Identification—0
VILLS -- Video-Image Learning to Learn Semantics for Person Re-Identification—0
Semantically Selective Augmentation for Deep Compact Person Re-Identification—0
Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification—0
Semantics-Guided Clustering with Deep Progressive Learning for Semi-Supervised Person Re-identification—0
Semi-Supervised Coupled Dictionary Learning for Person Re-identification—0
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification—0
Sequence-based Person Attribute Recognition with Joint CTC-Attention Model—0
Sequential Transformer for End-to-End Person Search—0
Set Augmented Triplet Loss for Video Person Re-Identification—0
SFANet: A Spectrum-aware Feature Augmentation Network for Visible-Infrared Person Re-Identification—0
SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-Identification Systems—0
Shape-centered Representation Learning for Visible-Infrared Person Re-identification—0
Sharp Attention Network via Adaptive Sampling for Person Re-identification—0
Short Range Correlation Transformer for Occluded Person Re-Identification—0
Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification—0
Similarity Learning With Spatial Constraints for Person Re-Identification—0
Similarity-preserving Image-image Domain Adaptation for Person Re-identification—0
Skeleton-Guided Spatial-Temporal Feature Learning for Video-Based Visible-Infrared Person Re-Identification—0
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification—0
Spatial-Aware GAN for Unsupervised Person Re-identification—0
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification—0
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos—0
Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification—0
Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification—0
Spatio-Temporal Representation Factorization for Video-based Person Re-Identification—0
Spatiotemporal Transformer for Video-based Person Re-identification—0
Spatio-Visual Fusion-Based Person Re-Identification for Overhead Fisheye Images—0
Specialized Re-Ranking: A Novel Retrieval-Verification Framework for Cloth Changing 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