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 651–700 of 1488 papers

TitleStatusHype
FlipReID: Closing the Gap between Training and Inference in Person Re-IdentificationCode1
Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-IdentificationCode0
Adaptive Domain-Specific Normalization for Generalizable Person Re-IdentificationCode0
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-IdentificationCode0
Learning Multi-Granular Hypergraphs for Video-Based Person Re-IdentificationCode1
Learning Multi-Attention Context Graph for Group-Based Re-IdentificationCode1
Pose-driven Attention-guided Image Generation for Person Re-Identification—0
On the Unreasonable Effectiveness of Centroids in Image RetrievalCode1
Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification—0
Unsupervised Multi-Source Domain Adaptation for Person Re-IdentificationCode1
Person Re-Identification by Context-aware Part Attention and Multi-Head Collaborative Learning—0
Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification—0
Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather ConditionCode1
Self-Paced Uncertainty Estimation for One-shot Person Re-Identification—0
Solving Inefficiency of Self-supervised Representation LearningCode1
Wide-Baseline Multi-Camera Calibration using Person Re-Identification—0
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos—0
Graph-based Person Signature for Person Re-IdentificationsCode1
Holistic Guidance for Occluded Person Re-IdentificationCode0
Generalizable Multi-Camera 3D Pedestrian Detection—0
Pose Invariant Person Re-Identification using Robust Pose-transformation GANCode0
Unveiling personnel movement in a larger indoor area with a non-overlapping multi-camera system—0
Combined Depth Space based Architecture Search For Person Re-identificationCode0
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-IdentificationCode1
Incremental Generative Occlusion Adversarial Suppression Network for Person ReIDCode1
Neural Feature Search for RGB-Infrared Person Re-Identification—0
Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-IdentificationCode1
Heuristics2Annotate: Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression—0
A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification—0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification—0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial VehiclesCode1
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification—0
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning—0
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition—0
Spatiotemporal Transformer for Video-based Person Re-identification—0
ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identificationCode1
Learning Domain Invariant Representations for Generalizable Person Re-Identification—0
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and RegularizationCode1
Leaning Compact and Representative Features for Cross-Modality Person Re-IdentificationCode0
Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification—0
Lifelong Person Re-Identification via Adaptive Knowledge AccumulationCode1
Group-aware Label Transfer for Domain Adaptive Person Re-identificationCode1
Progressive and Aligned Pose Attention Transfer for Person Image GenerationCode1
Cluster Contrast for Unsupervised Person Re-IdentificationCode1
Intra-Inter Camera Similarity for Unsupervised Person Re-IdentificationCode1
Anchor-Free Person SearchCode1
Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification—0
Unsupervised and self-adaptative techniques for cross-domain person re-identificationCode0
Sequential End-to-end Network for Efficient Person SearchCode1
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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