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 1351–1400 of 1488 papers

TitleStatusHype
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-IdentificationCode0
Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-IdentificationCode0
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identificationCode0
Appearance and Pose-Conditioned Human Image Generation using Deformable GANsCode0
Adaptive Domain-Specific Normalization for Generalizable Person Re-IdentificationCode0
Interaction-and-Aggregation Network for Person Re-identificationCode0
Temporal Complementary Learning for Video Person Re-IdentificationCode0
Unsupervised and self-adaptative techniques for cross-domain person re-identificationCode0
Domain Adaptive Person Re-Identification via Coupling OptimizationCode0
Temporal Knowledge Propagation for Image-to-Video Person Re-identificationCode0
Domain adaptation for person re-identification on new unlabeled data using AlignedReID++Code0
Pairwise Similarity Learning is SimPLECode0
Unsupervised Attention Based Instance Discriminative Learning for Person Re-IdentificationCode0
In Defense of the Triplet Loss for Person Re-IdentificationCode0
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label DistillationCode0
Parameter-Free Spatial Attention Network for Person Re-IdentificationCode0
DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identificationCode0
In Defense of the Classification Loss for Person Re-IdentificationCode0
Distribution Aligned Semantics Adaption for Lifelong Person Re-IdentificationCode0
Test-time Similarity Modification for Person Re-identification toward Temporal Distribution ShiftCode0
Incremental Learning in Person Re-IdentificationCode0
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of AttentionCode0
S3CE-Net: Spike-guided Spatiotemporal Semantic Coupling and Expansion Network for Long Sequence Event Re-IdentificationCode0
Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network ModelsCode0
STADB: A Self-Thresholding Attention Guided ADB Network for Person Re-identificationCode0
Unsupervised Person Re-identification with Stochastic Training StrategyCode0
Dissecting Person Re-identification from the Viewpoint of ViewpointCode0
Disentangled Person Image GenerationCode0
CLIP-based Camera-Agnostic Feature Learning for Intra-camera Person Re-IdentificationCode0
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identificationCode0
Patch-Based Discriminative Feature Learning for Unsupervised Person Re-IdentificationCode0
Improved Instance Discrimination and Feature Compactness for End-to-End Person SearchCode0
Pedestrian Alignment Network for Large-scale Person Re-identificationCode0
Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identificationCode0
Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identificationCode0
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identificationCode0
Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene LabelingCode0
CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-IdentificationCode0
Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal PatternsCode0
Person detection and re-identification in open-world settings of retail stores and public spacesCode0
CFReID: Continual Few-shot Person Re-IdentificationCode0
AlignedReID: Surpassing Human-Level Performance in Person Re-IdentificationCode0
PersonNet: Person Re-identification with Deep Convolutional Neural NetworksCode0
Illumination Distillation Framework for Nighttime Person Re-Identification and A New BenchmarkCode0
Pyramidal Person Re-IDentification via Multi-Loss Dynamic TrainingCode0
CCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification ModelsCode0
3C: Confidence-Guided Clustering and Contrastive Learning for Unsupervised Person Re-IdentificationCode0
DiP: Learning Discriminative Implicit Parts for Person Re-IdentificationCode0
Unsupervised Tracklet Person Re-IdentificationCode0
Camera Style Adaptation for 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
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