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 451–500 of 1488 papers

TitleStatusHype
Rethinking Clothes Changing Person ReID: Conflicts, Synthesis, and Optimization—0
Clothes-Changing Person Re-Identification with Feasibility-Aware Intermediary Matching—0
Parameter Hierarchical Optimization for Visible-Infrared Person Re-Identification—0
Unsupervised Visible-Infrared ReID via Pseudo-label Correction and Modality-level Alignment—0
Adaptive Intra-Class Variation Contrastive Learning for Unsupervised Person Re-Identification—0
Part-Attention Based Model Make Occluded Person Re-Identification Stronger—0
An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-IdentificationCode0
Test-time Similarity Modification for Person Re-identification toward Temporal Distribution ShiftCode0
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification—0
Lifelong Person Re-Identification with Backward-Compatibility—0
Identity-aware Dual-constraint Network for Cloth-Changing Person Re-identification—0
OC4-ReID: Occluded Cloth-Changing Person Re-IdentificationCode0
Möbius Transform for Mitigating Perspective Distortions in Representation Learning—0
Enhancing Long-Term Person Re-Identification Using Global, Local Body Part, and Head Streams—0
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification—0
GAF-Net: Video-Based Person Re-Identification via Appearance and Gait RecognitionsCode0
Source-Guided Similarity Preservation for Online Person Re-IdentificationCode0
CCPA: Long-term Person Re-Identification via Contrastive Clothing and Pose Augmentation—0
Dynamic Patch-aware Enrichment Transformer for Occluded Person Re-Identification—0
Contrastive Multiple Instance Learning for Weakly Supervised Person ReID—0
Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing—0
Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification—0
From Synthetic to Real: Unveiling the Power of Synthetic Data for Video Person Re-ID—0
Spectrum-guided Feature Enhancement Network for Event Person Re-Identification—0
Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person ReIDCode0
Multiple Integration Model for Single-source Domain Generalizable Person Re-identification—0
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identificationCode0
A Survey on 3D Skeleton Based Person Re-Identification: Approaches, Designs, Challenges, and Future Directions—0
MLLMReID: Multimodal Large Language Model-based Person Re-identification—0
Image-based human re-identification: Which covariates are actually (the most) important?—0
Cross-Modality Perturbation Synergy Attack for Person Re-identification—0
CPCL: Cross-Modal Prototypical Contrastive Learning for Weakly Supervised Text-based Person Re-IdentificationCode0
Unsupervised multi-source domain adaptation for person re-identification via feature fusion and pseudo-label refinement—0
A Deep Hierarchical Feature Sparse Framework for Occluded Person Re-Identification—0
Frequency Domain Nuances Mining for Visible-Infrared Person Re-identification—0
Prompt Decoupling for Text-to-Image Person Re-identification—0
Frequency Domain Modality-invariant Feature Learning for Visible-infrared Person Re-Identification—0
SEAS: ShapE-Aligned Supervision for Person Re-Identification—0
Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation—0
A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification—0
Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability—0
Multi-Prompts Learning with Cross-Modal Alignment for Attribute-based Person Re-Identification—0
Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain LearningCode0
Advancing Person Re-Identification: Tensor-based Feature Fusion and Multilinear Subspace Learning—0
Enhancing Person Re-Identification through Tensor Feature Fusion—0
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identificationCode0
Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-identification—0
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-IdentificationCode0
TextAug: Test time Text Augmentation for Multimodal Person Re-identification—0
Cross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval—0
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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
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