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 201–250 of 1488 papers

TitleStatusHype
A Deep Hierarchical Feature Sparse Framework for Occluded Person Re-Identification—0
Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-IdentificationCode2
Mutual Distillation Learning For Person Re-IdentificationCode1
Masked Attribute Description Embedding for Cloth-Changing Person Re-identificationCode1
CLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-IdentificationCode1
AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-identificationCode1
Temporal 3D Shape Modeling for Video-Based Cloth-Changing Person Re-IdentificationCode1
Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-IdentificationCode1
Prompt Decoupling for Text-to-Image Person Re-identification—0
Frequency Domain Nuances Mining for Visible-Infrared Person Re-identification—0
Frequency Domain Modality-invariant Feature Learning for Visible-infrared Person Re-Identification—0
Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-IdentificationCode1
Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identificationCode1
A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification—0
SEAS: ShapE-Aligned Supervision for Person Re-Identification—0
Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability—0
Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation—0
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identificationCode1
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
TF-CLIP: Learning Text-free CLIP for Video-based Person Re-IdentificationCode1
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identificationCode0
High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-IdentificationCode1
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
ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNetCode1
LiDAR-based Person Re-identificationCode1
TextAug: Test time Text Augmentation for Multimodal Person Re-identification—0
Cross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval—0
VILLS -- Video-Image Learning to Learn Semantics for Person Re-Identification—0
Video-based Visible-Infrared Person Re-Identification with Auxiliary SamplesCode1
MSCMNet: Multi-scale Semantic Correlation Mining for Visible-Infrared Person Re-IdentificationCode1
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identificationCode1
PersonMAE: Person Re-Identification Pre-Training with Masked AutoEncoders—0
Multi-view Information Integration and Propagation for Occluded Person Re-identificationCode0
Rotation Invariant Transformer for Recognizing Object in UAVsCode1
Learning Intra and Inter-Camera Invariance for Isolated Camera Supervised Person Re-identificationCode0
Occluded Person Re-Identification with Deep Learning: A Survey and Perspectives—0
HAP: Structure-Aware Masked Image Modeling for Human-Centric PerceptionCode1
CARPE-ID: Continuously Adaptable Re-identification for Personalized Robot Assistance—0
Shape-centered Representation Learning for Visible-Infrared Person Re-identification—0
Exploring Shape Embedding for Cloth-Changing Person Re-Identification via 2D-3D Correspondences—0
Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identificationCode1
Unveiling the Power of CLIP in Unsupervised Visible-Infrared Person Re-IdentificationCode1
Learning Comprehensive Representations with Richer Self for Text-to-Image Person Re-Identification—0
Pairwise Similarity Learning is SimPLECode0
ProtoHPE: Prototype-guided High-frequency Patch Enhancement for Visible-Infrared Person Re-identification—0
VI-Diff: Unpaired Visible-Infrared Translation Diffusion Model for Single Modality Labeled Visible-Infrared Person Re-identificationCode1
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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