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Machine learningDeep Learning, Graph Neural Networks, Action Recognition

Mitandao ya Usanifu wa Grafu za Anga-Wakati

Mitandao ya Usanifu wa Grafu za Anga-Wakati (ST-GCN) ni usanifu ulioanzishwa na Yan et al. mwaka 2018 kwa ajili ya utambuzi wa vitendo kulingana na mifupa. Kwa kuunda mifupa ya binadamu kama grafu ambapo viungo ni nodi na mifupa ni kingo, ST-GCN hutumia usanozi wa grafu kwa anga na wakati kutambua vitendo kutoka kwa mfuatano wa mifupa.

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Vyanzo

  1. 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

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Spatial-Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition. ScholarGate. https://scholargate.app/sw/deep-learning/spatial-temporal-gcn

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Imerejelewa na

ScholarGateSpatial-Temporal GCN (Spatial-Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/spatial-temporal-gcn · Seti ya data: https://doi.org/10.5281/zenodo.20539026