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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
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identificationCode0
Multi-view Information Integration and Propagation for Occluded Person Re-identificationCode0
Occluded Person Re-Identification with Deep Learning: A Survey and Perspectives—0
Region Generation and Assessment Network for Occluded Person Re-Identification—0
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-IdentificationCode0
Content-Adaptive Auto-Occlusion Network for Occluded Person Re-IdentificationCode0
Attention Map Guided Transformer Pruning for Edge DeviceCode0
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification—0
Feature Completion Transformer for Occluded Person Re-identification—0
Occluded Person Re-Identification via Relational Adaptive Feature Correction Learning—0
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