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 51–100 of 1488 papers

TitleStatusHype
Aerial-Ground Person Re-IDCode1
Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-IdentificationCode1
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and RegularizationCode1
DomainMix: Learning Generalizable Person Re-Identification Without Human AnnotationsCode1
AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-identificationCode1
AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-IdentificationCode1
Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-IdentificationCode1
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-IdentificationCode1
A Benchmark of Video-Based Clothes-Changing Person Re-IdentificationCode1
CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-IdentificationCode1
Adaptive L2 Regularization in Person Re-IdentificationCode1
Cluster-level Feature Alignment for Person Re-identificationCode1
Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identificationCode1
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identificationCode1
DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-IDCode1
Calibrated Feature Decomposition for Generalizable Person Re-IdentificationCode1
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch NormalizationCode1
Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identificationCode1
DenoiseRep: Denoising Model for Representation LearningCode1
Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-IdentificationCode1
Densely Connected Convolutional NetworksCode1
Deep Metric Learning by Online Soft Mining and Class-Aware AttentionCode1
3D Shape Temporal Aggregation for Video-Based Clothing-Change Person Re-IdenticationCode1
Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-IdentificationCode1
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine LearningCode1
Diverse Representation Embedding for Lifelong Person Re-IdentificationCode1
DC-Former: Diverse and Compact Transformer for Person Re-IdentificationCode1
Augmented Dual-Contrastive Aggregation Learning for Unsupervised Visible-Infrared Person Re-IdentificationCode1
An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing ConditionsCode1
Benchmarks for Corruption Invariant Person Re-identificationCode1
Deep Learning for Person Re-identification: A Survey and OutlookCode1
DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes ChangeCode1
Bootstrap your own latent: A new approach to self-supervised LearningCode1
Deep Unlearning via Randomized Conditionally Independent HessiansCode1
An Improved Person Re-identification Method by light-weight convolutional neural networkCode1
Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-IdentificationCode1
A Person Re-identification Data Augmentation Method with Adversarial Defense EffectCode1
Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate DomainsCode1
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identificationCode1
Domain Consistency Representation Learning for Lifelong Person Re-IdentificationCode1
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentificationCode1
Discover Cross-Modality Nuances for Visible-Infrared Person Re-IdentificationCode1
Appearance-Preserving 3D Convolution for Video-based Person Re-identificationCode1
Camera-aware Label Refinement for Unsupervised Person Re-identificationCode1
2nd Place Solution to Google Landmark Retrieval 2021Code1
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-IdentificationCode1
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-IdentificationCode1
Circle Loss: A Unified Perspective of Pair Similarity OptimizationCode1
CLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-IdentificationCode1
Explainable Person Re-Identification with Attribute-guided Metric DistillationCode1
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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