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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1001–1050 of 1488 papers

TitleStatusHype
Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification—0
Batch Coherence-Driven Network for Part-aware Person Re-Identification—0
Benchmarking person re-identification approaches and training datasets for practical real-world implementations—0
Beyond Augmentation: Empowering Model Robustness under Extreme Capture Environments—0
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking—0
Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing—0
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss—0
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification—0
BiLMa: Bidirectional Local-Matching for Text-based Person Re-identification—0
Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification—0
Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification—0
Branch-Cooperative OSNet for Person Re-Identification—0
Bregman Divergences for Infinite Dimensional Covariance Matrices—0
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification—0
Bridging the Distribution Gap of Visible-Infrared Person Re-identification with Modality Batch Normalization—0
BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification—0
CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification—0
CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification—0
Camera-aware Style Separation and Contrastive Learning for Unsupervised Person Re-identification—0
Camera Bias Regularization for Person Re-identification—0
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification—0
Camera-Invariant Meta-Learning Network for Single-Camera-Training Person Re-identification—0
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning—0
CAN: Composite Appearance Network for Person Tracking and How to Model Errors in a Tracking System—0
CARPE-ID: Continuously Adaptable Re-identification for Personalized Robot Assistance—0
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey—0
CCPA: Long-term Person Re-Identification via Contrastive Clothing and Pose Augmentation—0
CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-identification—0
Cerberus: Attribute-based person re-identification using semantic IDs—0
ChatReID: Open-ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models—0
CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction—0
Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification—0
Class Interference Regularization—0
CLIP-Based Modality Compensation for Visible-Infrared Image Re-Identification—0
CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification—0
CLIP-Driven Cloth-Agnostic Feature Learning for Cloth-Changing Person Re-Identification—0
CLIP-SCGI: Synthesized Caption-Guided Inversion for Person Re-Identification—0
Clothes-Changing Person Re-Identification with Feasibility-Aware Intermediary Matching—0
Clothes-Changing Person Re-identification Based On Skeleton Dynamics—0
Clothes-Invariant Feature Learning by Causal Intervention for Clothes-Changing Person Re-identification—0
Clothing-Change Feature Augmentation for Person Re-Identification—0
Clothing Status Awareness for Long-Term Person Re-Identification—0
Cluster Loss for Person Re-Identification—0
CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification—0
Coarse Attribute Prediction with Task Agnostic Distillation for Real World Clothes Changing ReID—0
Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck—0
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification—0
Collaborative Attention Network for Person Re-identification—0
Colors See Colors Ignore: Clothes Changing ReID with Color Disentanglement (ICCV-25 🥳)—0
Combining Two Adversarial Attacks Against Person Re-Identification Systems—0
Show:102550
← PrevPage 21 of 30Next →
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