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Occluded Person Re-Identification

Occluded Person Re-Identification (ReID) is a person retrieval task closely related to Person Re-Identification that involves matching occluded individuals based on their appearance.

Papers

Showing 1120 of 46 papers

TitleStatusHype
Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-IdentificationCode1
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-IdentificationCode1
Pose-guided Visible Part Matching for Occluded Person ReIDCode1
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-IdentificationCode1
Exploring Stronger Transformer Representation Learning for Occluded Person Re-Identification0
DDRN:a Data Distribution Reconstruction Network for Occluded Person Re-Identification0
Part-Attention Based Model Make Occluded Person Re-Identification Stronger0
Dynamic Patch-aware Enrichment Transformer for Occluded Person Re-Identification0
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identificationCode0
A Deep Hierarchical Feature Sparse Framework for Occluded Person Re-Identification0
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