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 351–400 of 1488 papers

TitleStatusHype
On the Importance of Encrypting Deep FeaturesCode0
OC4-ReID: Occluded Cloth-Changing Person Re-IdentificationCode0
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-IdentificationCode0
Adaptive Graph Representation Learning for Video Person Re-identificationCode0
Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain LearningCode0
Pairwise Similarity Learning is SimPLECode0
Aggregating Deep Pyramidal Representations for Person Re-IdenfiticationCode0
Multi-view Information Integration and Propagation for Occluded Person Re-identificationCode0
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and DatasetsCode0
Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-IdentificationCode0
A Symbolic Temporal Pooling method for Video-based Person Re-IdentificationCode0
Real-time Person Re-identification at the Edge: A Mixed Precision ApproachCode0
Multiregion Bilinear Convolutional Neural Networks for Person Re-IdentificationCode0
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identificationCode0
Adaptive Exploration for Unsupervised Person Re-IdentificationCode0
Multi-granularity for knowledge distillationCode0
CLIP-based Camera-Agnostic Feature Learning for Intra-camera Person Re-IdentificationCode0
Multi-Attribute Enhancement Network for Person SearchCode0
MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-IdentificationCode0
CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-IdentificationCode0
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable PatternsCode0
Mining False Positive Examples for Text-Based Person Re-identificationCode0
Mixed High-Order Attention Network for Person Re-IdentificationCode0
Adaptive Domain-Specific Normalization for Generalizable Person Re-IdentificationCode0
CFReID: Continual Few-shot Person Re-IdentificationCode0
Meta Pairwise Relationship Distillation for Unsupervised Person Re-IdentificationCode0
DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identificationCode0
Adversarial Self-Attack Defense and Spatial-Temporal Relation Mining for Visible-Infrared Video Person Re-IdentificationCode0
Mask-Guided Contrastive Attention Model for Person Re-IdentificationCode0
CCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification ModelsCode0
MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identificationCode0
Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identificationCode0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
Camera Style Adaptation for Person Re-identificationCode0
Distribution Aligned Semantics Adaption for Lifelong Person Re-IdentificationCode0
Leveraging Virtual and Real Person for Unsupervised Person Re-identificationCode0
Dissecting Person Re-identification from the Viewpoint of ViewpointCode0
Neighbor-Based Feature and Index Enhancement for Person Re-IdentificationCode0
Learning Invariance from Generated Variance for Unsupervised Person Re-identificationCode0
Disentangled Person Image GenerationCode0
Learning Intra and Inter-Camera Invariance for Isolated Camera Supervised Person Re-identificationCode0
Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging ScenesCode0
Look Closer to Your Enemy: Learning to Attack via Teacher-Student MimickingCode0
Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identificationCode0
DiP: Learning Discriminative Implicit Parts for Person Re-IdentificationCode0
Adversarial Metric Attack and Defense 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
Learning Discriminative Features with Multiple Granularities for Person Re-IdentificationCode0
Appearance and Pose-Conditioned Human Image Generation using Deformable GANsCode0
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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