Segmentation Guided Attention Networks for Human Pose Estimation

Human pose estimation is an important and widely studied task in computer vision. One of the difficulties in human pose estimation is that the model is vulnerable to complex backgrounds when making predictions. In this paper, we propose a deep high-resolution network based on segmentation guided. A...

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Veröffentlicht in:	Traitement du signal 2024-10, Vol.41 (5), p.2485-2493
Hauptverfasser:	Tang, Jingfan, Lu, Jipeng, Zhang, Xuefeng, Zhao, Fang
Format:	Artikel
Sprache:	eng ; fre
Schlagworte:	Algorithms Computer vision Datasets Deep learning Effectiveness Human body Modules Neural networks Pose estimation Segmentation
Online-Zugang:	Volltext
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