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 301–350 of 1488 papers

TitleStatusHype
Circle Loss: A Unified Perspective of Pair Similarity OptimizationCode1
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-IdentificationCode1
Person Re-identification by Contour Sketch under Moderate Clothing ChangeCode1
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch NormalizationCode1
Learning Diverse Features with Part-Level Resolution for Person Re-IdentificationCode1
Deep Learning for Person Re-identification: A Survey and OutlookCode1
Simulating Content Consistent Vehicle Datasets with Attribute DescentCode1
Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time AspectCode1
Video Person Re-ID: Fantastic Techniques and Where to Find ThemCode1
Torchreid: A Library for Deep Learning Person Re-Identification in PytorchCode1
Learning Generalisable Omni-Scale Representations for Person Re-IdentificationCode1
Robust Person Re-Identification by Modelling Feature UncertaintyCode1
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-IdentificationCode1
Omni-Scale Feature Learning for Person Re-IdentificationCode1
Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New BenchmarkCode1
Progressive Pose Attention Transfer for Person Image GenerationCode1
Deep Cosine Metric Learning for Person Re-IdentificationCode1
Deep Metric Learning by Online Soft Mining and Class-Aware AttentionCode1
MobileNetV2: Inverted Residuals and Linear BottlenecksCode1
Person Transfer GAN to Bridge Domain Gap for Person Re-IdentificationCode1
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric SpaceCode1
Simple Online and Realtime Tracking with a Deep Association MetricCode1
Improving Person Re-identification by Attribute and Identity LearningCode1
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitroCode1
Densely Connected Convolutional NetworksCode1
Orientation Driven Bag of Appearances for Person Re-identificationCode1
Domain-Adversarial Training of Neural NetworksCode1
WhoFi: Deep Person Re-Identification via Wi-Fi Channel Signal Encoding—0
Weakly Supervised Visible-Infrared Person Re-Identification via Heterogeneous Expert Collaborative Consistency Learning—0
Mind the Gap: Bridging Occlusion in Gait Recognition via Residual Gap Correction—0
Try Harder: Hard Sample Generation and Learning for Clothes-Changing Person Re-IDCode0
KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videos—0
CORE-ReID V2: Advancing the Domain Adaptation for Object Re-Identification with Optimized Training and Ensemble FusionCode0
Following the Clues: Experiments on Person Re-ID using Cross-Modal IntelligenceCode0
Evolution of ReID: From Early Methods to LLM Integration—0
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding—0
Colors See Colors Ignore: Clothes Changing ReID with Color Disentanglement (ICCV-25 🥳)—0
Cross-Spectral Body Recognition with Side Information Embedding: Benchmarks on LLCM and Analyzing Range-Induced Occlusions on IJB-MDF—0
Person Re-Identification System at Semantic Level based on Pedestrian Attributes Ontology—0
S3CE-Net: Spike-guided Spatiotemporal Semantic Coupling and Expansion Network for Long Sequence Event Re-IdentificationCode0
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey—0
DART^3: Leveraging Distance for Test Time Adaptation in Person Re-Identification—0
Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification—0
Coarse Attribute Prediction with Task Agnostic Distillation for Real World Clothes Changing ReID—0
Differentiable Channel Selection in Self-Attention For Person Re-IdentificationCode0
OptiGait-LGBM: An Efficient Approach of Gait-based Person Re-identification in Non-Overlapping Regions—0
Multilinear subspace learning for person re-identification based fusion of high order tensor features—0
Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification—0
Robust Duality Learning for Unsupervised Visible-Infrared Person Re-Identification—0
Diverse Semantics-Guided Feature Alignment and Decoupling for Visible-Infrared Person Re-Identification—0
Show:102550
← PrevPage 7 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
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