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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

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TitleStatusHype
Exploring Stronger Transformer Representation Learning for Occluded Person Re-Identification—0
DDRN:a Data Distribution Reconstruction Network for Occluded Person Re-Identification—0
ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-IdentificationCode1
Keypoint Promptable Re-IdentificationCode3
Part-Attention Based Model Make Occluded Person Re-Identification Stronger—0
Dynamic Patch-aware Enrichment Transformer for Occluded Person Re-Identification—0
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-Identification—0
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identificationCode0
Multi-view Information Integration and Propagation for Occluded Person Re-identificationCode0
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