SAGCN: Self-Attention Graph Convolutional Network for Human Pose Embedding

Accurate human pose embedding is crucial for action recognition. While traditional convolutional neural networks (CNNs) have advanced pose feature extraction, they struggle to model structural relationships and long-range dependencies between keypoints, and are less robust to occlusions. To address...

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Váldodahkkit:	Zhongxiong Xu, Jiajun Hong, Yicong Yu, Chengzhu Lin, Linfei Yu, Meixian Xu
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2025-01-01
Ráidu:	IEEE Access
Fáttát:	Graph convolutional network self-attention human pose embedding probabilistic embedding
Liŋkkat:	https://ieeexplore.ieee.org/document/11119677/
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

SAGCN: Self-Attention Graph Convolutional Network for Human Pose Embedding

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