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 501–550 of 1488 papers

TitleStatusHype
CAN: Composite Appearance Network for Person Tracking and How to Model Errors in a Tracking System—0
Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID—0
A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systems—0
Homocentric Hypersphere Feature Embedding for Person Re-identification—0
Context Sensing Attention Network for Video-based Person Re-identification—0
Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation—0
Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation—0
FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks—0
Distilled Person Re-Identification: Towards a More Scalable System—0
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning—0
Distance-based Camera Network Topology Inference for Person Re-identification—0
Camera-Invariant Meta-Learning Network for Single-Camera-Training Person Re-identification—0
Adversarial Open-World Person Re-Identification—0
How Image Generation Helps Visible-to-Infrared Person Re-Identification?—0
Human Re-ID Meets LVLMs: What can we expect?—0
Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification—0
Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments—0
Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification—0
Disentangled Representations for Short-Term and Long-Term Person Re-Identification—0
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification—0
Discriminative Pedestrian Features and Gated Channel Attention for Clothes-Changing Person Re-Identification—0
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification—0
Hierarchical Gaussian Descriptors with Application to Person Re-Identification—0
Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification—0
Discriminative Feature Learning with Foreground Attention for Person Re-Identification—0
Camera Bias Regularization for Person Re-identification—0
Discrepant and Multi-Instance Proxies for Unsupervised Person Re-Identification—0
Camera-aware Style Separation and Contrastive Learning for Unsupervised Person Re-identification—0
Adversarial Multi-scale Feature Learning for Person Re-identification—0
Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification—0
DiffPhysBA: Diffusion-based Physical Backdoor Attack against Person Re-Identification in Real-World—0
Appearance Descriptors for Person Re-identification: a Comprehensive Review—0
Hierarchical Cross Network for Person Re-identification—0
Differentially Private Cross-camera Person Re-identification—0
Adaptive Cross-Domain Learning for Generalizable Person Re-Identification—0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification—0
CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification—0
Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification—0
Hierarchical Gaussian Descriptor for Person Re-Identification—0
DEX: Domain Embedding Expansion for Generalized Person Re-identification—0
Devil's in the Details: Aligning Visual Clues for Conditional Embedding in Person Re-Identification—0
Apparel-invariant Feature Learning for Apparel-changed Person Re-identification—0
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification—0
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding—0
Density-Adaptive Kernel based Efficient Reranking Approaches for Person Reidentification—0
CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification—0
Densely Semantically Aligned Person Re-Identification—0
BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification—0
Adversarially Occluded Samples for Person Re-Identification—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