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有關 Joint-Bone Fusion Graph Convolutional Network for Semi-Supervised Skeleton Action Recognition. 的學術文章
… fusion graph convolutional network for semi-supervised … - ‎Tu - 86 個引述

Joint-Bone Fusion Graph Convolutional Network for Semi- ...

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2022年5月11日 — In recent years, graph convolutional networks (GCNs) play an increasingly critical role in skeleton-based human action recognition.

Joint-bone Fusion Graph Convolutional Network for Semi- ...

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由 Z Tu 著作2022被引用 85 次 — Abstract—In recent years, graph convolutional networks. (GCNs) play an increasingly critical role in skeleton-based human action recognition.

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Joint-Bone Fusion Graph Convolutional Network for Semi ...

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由 Z Tu 著作2023被引用 86 次 — In recent years, graph convolutional networks (GCNs) play an increasingly critical role in skeleton-based human action recognition. However, most GCN-based ...

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A novel correlation-driven joint-bone fusion graph convolutional network (CD-JBF-GCN) as an encoder and a pose prediction head as a decoder to achieve ...

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2024年12月9日 — In recent years, graph convolutional networks (GCNs) play an increasingly critical role in skeleton-based human action recognition.

Joint-bone Fusion Graph Convolutional Network for Semi- ...

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2024年9月12日 — In recent years, graph convolutional networks (GCNs) play an increasingly critical role in skeleton-based human action recognition.

Joint-bone Fusion Graph Convolutional Network for Semi- ...

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In recent years, graph convolutional networks (GCNs) play an increasingly critical role in skeleton-based human action recognition.

Jiaxu Zhang - Google 學術搜尋

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Joint-bone fusion graph convolutional network for semi-supervised skeleton action recognition. Z Tu, J Zhang, H Li, Y Chen, J Yuan. IEEE Transactions on ...

Skeleton Based Action Recognition

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Graph convolutional networks (GCNs), which can model the human body skeletons as spatial and temporal graphs, have shown remarkable potential in skeleton-based ...