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 1301–1350 of 1488 papers

TitleStatusHype
Identity-aware Dual-constraint Network for Cloth-Changing Person Re-identification—0
Identity-aware Feature Decoupling Learning for Clothing-change Person Re-identification—0
Identity-Clothing Similarity Modeling for Unsupervised Clothing Change Person Re-Identification—0
Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification—0
Id-Free Person Similarity Learning—0
Illumination-Adaptive Person Re-identification—0
Illumination adaptive person reid based on teacher-student model and adversarial training—0
Illumination Variation Correction Using Image Synthesis For Unsupervised Domain Adaptive Person Re-Identification—0
Image-based human re-identification: Which covariates are actually (the most) important?—0
Image Retrieval Methods in the Dissimilarity Space—0
Image-Text-Image Knowledge Transferring for Lifelong Person Re-Identification with Hybrid Clothing States—0
Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings—0
Imbalance Robust Softmax for Deep Embeeding Learning—0
Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification—0
Implicit Sample Extension for Unsupervised Person Re-Identification—0
Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity—0
Improving CNN-based Person Re-identification using score Normalization—0
Improving Deep Models of Person Re-identification for Cross-Dataset Usage—0
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association—0
Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments—0
Improving One-shot NAS by Suppressing the Posterior Fading—0
Deep Similarity Metric Learning for Real-Time Pedestrian Tracking—0
Improving Person Re-Identification via Pose-Aware Multi-Shot Matching—0
Improving Person Re-identification with Iterative Impression Aggregation—0
Improving Person Re-Identification with Temporal Constraints—0
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification—0
Inserting Videos into Videos—0
Instance-Guided Context Rendering for Cross-Domain Person Re-Identification—0
Integrating Coarse Granularity Part-level Features with Supervised Global-level Features for Person Re-identification—0
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting—0
Inter-Task Association Critic for Cross-Resolution Person Re-Identification—0
Intra-Camera Supervised Person Re-Identification: A New Benchmark—0
Intra-Camera Supervised Person Re-Identification—0
Intra-clip Aggregation for Video Person Re-identification—0
iQIYI-VID: A Large Dataset for Multi-modal Person Identification—0
Is Synthetic Dataset Reliable for Benchmarking Generalizable Person Re-Identification?—0
Iterated Support Vector Machines for Distance Metric Learning—0
Joint Discriminative and Metric Embedding Learning for Person Re-Identification—0
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition—0
Joint Learning of Single-Image and Cross-Image Representations for Person Re-Identification—0
Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification—0
Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras—0
Handling Label Uncertainty for Camera Incremental Person Re-Identification—0
Joint Probabilistic Matching Using m-Best Solutions—0
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification—0
Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification—0
Kernel Methods in Hyperbolic Spaces—0
Key Person Aided Re-identification in Partially Ordered Pedestrian Set—0
KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videos—0
Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels—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
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