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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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Showing 11–20 of 46 papers

TitleStatusHype
Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-IdentificationCode1
Dynamic Prototype Mask for Occluded Person Re-IdentificationCode1
ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-IdentificationCode1
Feature Erasing and Diffusion Network for Occluded Person Re-IdentificationCode1
Exploring Stronger Transformer Representation Learning for Occluded Person Re-Identification—0
DDRN:a Data Distribution Reconstruction Network for Occluded Person Re-Identification—0
Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification—0
Dynamic Patch-aware Enrichment Transformer for Occluded Person Re-Identification—0
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification—0
A Deep Hierarchical Feature Sparse Framework for Occluded Person Re-Identification—0
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