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 401–450 of 1488 papers

TitleStatusHype
Multi-view Information Integration and Propagation for Occluded Person Re-identificationCode0
Domain adaptation for person re-identification on new unlabeled data using AlignedReID++Code0
MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-IdentificationCode0
Camera Style Adaptation for Person Re-identificationCode0
Distribution Aligned Semantics Adaption for Lifelong Person Re-IdentificationCode0
Multi-granularity for knowledge distillationCode0
Dissecting Person Re-identification from the Viewpoint of ViewpointCode0
Multi-Attribute Enhancement Network for Person SearchCode0
Multiregion Bilinear Convolutional Neural Networks for Person Re-IdentificationCode0
S3CE-Net: Spike-guided Spatiotemporal Semantic Coupling and Expansion Network for Long Sequence Event Re-IdentificationCode0
Disentangled Person Image GenerationCode0
Meta Pairwise Relationship Distillation for Unsupervised Person Re-IdentificationCode0
Mining False Positive Examples for Text-Based Person Re-identificationCode0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identificationCode0
Mask-Guided Contrastive Attention Model for Person Re-IdentificationCode0
Mixed High-Order Attention Network 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
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identificationCode0
MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identificationCode0
Person Re-identification by Local Maximal Occurrence Representation and Metric LearningCode0
Appearance and Pose-Conditioned Human Image Generation using Deformable GANsCode0
Person Re-identification in Aerial ImageryCode0
Look Closer to Your Enemy: Learning to Attack via Teacher-Student MimickingCode0
Devil in the Details: Towards Accurate Single and Multiple Human ParsingCode0
Leveraging Virtual and Real Person for Unsupervised Person Re-identificationCode0
A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-RankingCode0
2017 Robotic Instrument Segmentation ChallengeCode0
Learning to Disentangle Scenes for Person Re-identificationCode0
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free ApproachCode0
Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identificationCode0
Learning Transferable Pedestrian Representation from Multimodal Information SupervisionCode0
Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging ScenesCode0
Learning Intra and Inter-Camera Invariance for Isolated Camera Supervised Person Re-identificationCode0
Learning Disentangled Representation for Robust Person Re-identificationCode0
Learning Discriminative Features with Multiple Granularities for Person Re-IdentificationCode0
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identificationCode0
Learning Invariance from Generated Variance for Unsupervised Person Re-identificationCode0
LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective DistortionCode0
Leaning Compact and Representative Features for Cross-Modality Person Re-IdentificationCode0
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-IdentificationCode0
Pose-Driven Deep Models for Person Re-IdentificationCode0
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-IdentificationCode0
Deep Person Re-Identification with Improved Embedding and Efficient TrainingCode0
Joint Progressive Knowledge Distillation and Unsupervised Domain AdaptationCode0
Deep-Person: Learning Discriminative Deep Features for Person Re-IdentificationCode0
Deep Neural Networks with Inexact Matching 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
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