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Self-Information-Driven Gated Graph Convolutional Network for Occluded Person Re-Identification

Occluded person re-identification (Re-ID) aims to accurately match occluded pedestrian images against complete gallery images captured across multiple cameras, a task that is critical to public security and intelligent surveillance systems. Existing graph neural network (GNN)-based methods typically...

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Hoofdauteurs: Wanran Guo, Jiake Meng, Yuan Xue, Yaxian Fan, Zhenyu Fang
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2026-05-01
Reeks:Sensors
Onderwerpen:
person re-identification
occlusion
graph convolutional network (GCN)
self-information
uncertainty modeling
gating mechanism
Online toegang:https://www.mdpi.com/1424-8220/26/9/2901
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