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 301–350 of 1488 papers

TitleStatusHype
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-IdentificationCode1
Exploring Visual Context for Weakly Supervised Person SearchCode1
Deep Unlearning via Randomized Conditionally Independent HessiansCode1
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-IdentificationCode1
FlipReID: Closing the Gap between Training and Inference in Person Re-IdentificationCode1
ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-IdentificationCode1
Benchmarks for Corruption Invariant Person Re-identificationCode1
DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes ChangeCode1
Noisy-Correspondence Learning for Text-to-Image Person Re-identificationCode1
Progressive Pose Attention Transfer for Person Image GenerationCode1
Deep Cosine Metric Learning for Person Re-IdentificationCode1
FPB: Feature Pyramid Branch for Person Re-IdentificationCode1
Optimizing Performance of Federated Person Re-identification: Benchmarking and AnalysisCode1
Person Re-identification by Contour Sketch under Moderate Clothing ChangeCode1
Robust Re-Identification by Multiple Views Knowledge DistillationCode1
Generalizing Person Re-Identification by Camera-Aware Invariance Learning and Cross-Domain MixupCode1
Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identificationCode1
Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification SystemsCode1
3D Shape Temporal Aggregation for Video-Based Clothing-Change Person Re-IdenticationCode1
Graph Convolution Based Efficient Re-Ranking for Visual RetrievalCode1
Graph Convolution for Re-ranking in Person Re-identificationCode1
Deep Learning for Person Re-identification: A Survey and OutlookCode1
HAP: Structure-Aware Masked Image Modeling for Human-Centric PerceptionCode1
Rethinking Sampling Strategies for Unsupervised Person Re-identificationCode1
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial VehiclesCode1
Sampling Agnostic Feature Representation for Long-Term Person Re-identificationCode1
Self-Supervised Pre-Training for Transformer-Based Person Re-IdentificationCode1
Multiregion Bilinear Convolutional Neural Networks for Person Re-IdentificationCode0
Attribute-Aware Attention Model for Fine-grained Representation LearningCode0
AlignedReID: Surpassing Human-Level Performance in Person Re-IdentificationCode0
Content-Adaptive Auto-Occlusion Network for Occluded Person Re-IdentificationCode0
Multi-granularity for knowledge distillationCode0
Multi-view Information Integration and Propagation for Occluded Person Re-identificationCode0
Mixed High-Order Attention Network for Person Re-IdentificationCode0
AlignedReID++: Dynamically matching local information for person re-identificationCode0
Attention Map Guided Transformer Pruning for Edge DeviceCode0
Combined Depth Space based Architecture Search For Person Re-identificationCode0
Adaptively Connected Neural NetworksCode0
Mining False Positive Examples for Text-Based Person Re-identificationCode0
Multi-Attribute Enhancement Network for Person SearchCode0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from DatasetsCode0
3C: Confidence-Guided Clustering and Contrastive Learning for Unsupervised Person Re-IdentificationCode0
Mask-Guided Contrastive Attention Model for Person Re-IdentificationCode0
ABD-Net: Attentive but Diverse Person Re-IdentificationCode0
Meta Pairwise Relationship Distillation for Unsupervised Person Re-IdentificationCode0
Look Closer to Your Enemy: Learning to Attack via Teacher-Student MimickingCode0
MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identificationCode0
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-IdentificationCode0
Adaptive Graph Representation Learning for Video Person Re-identificationCode0
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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
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