Machine learningDeep Learning, Graph Neural Networks, Action Recognition
时空图卷积网络
时空图卷积网络（ST-GCN）是Yan等人于2018年提出的一种用于基于骨骼的动作识别的架构。通过将人体骨骼建模为节点为关节、边为骨骼的图，ST-GCN在空间和时间上应用图卷积来从骨骼序列识别动作。
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来源
- Yan, S., Xiong, Y., & Lin, D. (2018). Spatial temporal graph convolutional networks for skeleton-based action recognition. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 32). link ↗
如何引用本页
ScholarGate. (2026, June 3). Spatial-Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition. ScholarGate. https://scholargate.app/zh/deep-learning/spatial-temporal-gcn
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