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 1401–1450 of 1488 papers

TitleStatusHype
2017 Robotic Instrument Segmentation ChallengeCode0
See What You Seek: Semantic Contextual Integration for Cloth-Changing Person Re-IdentificationCode0
Identity-Sensitive Knowledge Propagation for Cloth-Changing Person Re-identificationCode0
Segmentation Mask Guided End-to-End Person SearchCode0
Self Attention Grid for Person Re-IdentificationCode0
Person Re-identification by Local Maximal Occurrence Representation and Metric LearningCode0
Person Re-Identification by Multi-Channel Parts-Based CNN With Improved Triplet Loss FunctionCode0
AlignedReID++: Dynamically matching local information for person re-identificationCode0
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReIDCode0
Differentiable Channel Selection in Self-Attention For Person Re-IdentificationCode0
Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identificationCode0
Person Re-identification in Aerial ImageryCode0
Devil in the Details: Towards Accurate Single and Multiple Human ParsingCode0
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free ApproachCode0
ID-aware Quality for Set-based Person Re-identificationCode0
Self-training with progressive augmentation for unsupervised cross-domain person re-identificationCode0
Deep Person Re-Identification with Improved Embedding and Efficient TrainingCode0
A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-RankingCode0
Deep-Person: Learning Discriminative Deep Features for Person Re-IdentificationCode0
Deep Neural Networks with Inexact Matching for Person Re-IdentificationCode0
Adversarial Metric Attack and Defense for Person Re-identificationCode0
Deep Mutual LearningCode0
Semantics-Aligned Representation Learning for Person Re-identificationCode0
Real-time Person Re-identification at the Edge: A Mixed Precision ApproachCode0
A Discriminatively Learned CNN Embedding for Person Re-identificationCode0
IAUnet: Global Context-Aware Feature Learning for Person Re-IdentificationCode0
Deep Multimodal Fusion for Generalizable Person Re-identificationCode0
Person Re-Identification via Recurrent Feature AggregationCode0
Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identificationCode0
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-IdentificationCode0
HydraPlus-Net: Attentive Deep Features for Pedestrian AnalysisCode0
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identificationCode0
A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from DatasetsCode0
Person Re-identification with Correspondence Structure LearningCode0
Beyond triplet loss: a deep quadruplet network for person re-identificationCode0
Additive Adversarial Learning for Unbiased AuthenticationCode0
Deep Meta Metric LearningCode0
Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in PracticeCode0
Horizontal Pyramid Matching for Person Re-identificationCode0
Adaptively Connected Neural NetworksCode0
Person Search in Videos with One Portrait Through Visual and Temporal LinksCode0
Deeply-Learned Part-Aligned Representations for Person Re-IdentificationCode0
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)Code0
Holistic Guidance for Occluded Person Re-IdentificationCode0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive FrameworkCode0
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-IdentificationCode0
Deeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identificationCode0
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile DevicesCode0
PixelFade: Privacy-preserving Person Re-identification with Noise-guided Progressive ReplacementCode0
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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