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 801–850 of 1488 papers

TitleStatusHype
Attribute Adaptive Margin Softmax Loss using Privileged Information—0
IAUnet: Global Context-Aware Feature Learning for Person Re-IdentificationCode0
Towards Practical Implementations of Person Re-Identification from Full Video Frames—0
Temporal Continuity Based Unsupervised Learning for Person Re-Identification—0
Receptive Multi-granularity Representation for Person Re-Identification—0
Performance Optimization for Federated Person Re-identification via Benchmark AnalysisCode1
Learning to Learn in a Semi-Supervised Fashion—0
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory—0
An Improved Person Re-identification Method by light-weight convolutional neural networkCode1
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-IdentificationCode1
Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification—0
Person image generation with semantic attention network for person re-identification—0
Do Not Disturb Me: Person Re-identification Under the Interference of Other PedestriansCode1
Faster Person Re-IdentificationCode1
Cluster-level Feature Alignment for Person Re-identificationCode1
Parameter Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-IdentificationCode1
Apparel-invariant Feature Learning for Apparel-changed Person Re-identification—0
Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification—0
Towards Visually Explaining Similarity Models—0
Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds—0
Unified Representation Learning for Cross Model Compatibility—0
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-IdentificationCode1
Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context PropagationCode1
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification—0
A Flow-Guided Mutual Attention Network for Video-Based Person Re-Identification—0
Hierarchical Bi-Directional Feature Perception Network for Person Re-Identification—0
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-IdentificationCode0
An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification—0
Guided Saliency Feature Learning for Person Re-identification in Crowded ScenesCode2
Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification—0
Temporal Coherence or Temporal Motion: Which is More Critical for Video-based Person Re-identification?—0
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification—0
Generalizing Person Re-Identification by Camera-Aware Invariance Learning and Cross-Domain MixupCode1
READ: Reciprocal Attention Discriminator for Image-to-Video Re-IdentificationCode0
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification—0
Unsupervised Disentanglement GAN for Domain Adaptive Person Re-Identification—0
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identificationCode1
Identity-Guided Human Semantic Parsing for Person Re-IdentificationCode1
Dual Distribution Alignment Network for Generalizable Person Re-IdentificationCode1
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning—0
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification—0
Learning Person Re-identification Models from Videos with Weak Supervision—0
Joint Disentangling and Adaptation for Cross-Domain Person Re-IdentificationCode1
Temporal Complementary Learning for Video Person Re-IdentificationCode0
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-IdentificationCode1
Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification—0
Progressive Multi-stage Feature Mix for Person Re-IdentificationCode0
Appearance-Preserving 3D Convolution for Video-based Person Re-identificationCode1
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions—0
RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model—0
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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