Machine learningDeep Learning, Graph Neural Networks, Action Recognition

Telpiski-Laika Grafu Konvolūcijas Tīkli

Telpiski-Laika Grafu Konvolūcijas Tīkli (ST-GCN) ir arhitektūra, ko 2018. gadā ieviesa Yan et al. skeletu balstītai darbību atpazīšanai. Modelējot cilvēka skeletus kā grafus, kur locītavas ir virsotnes un kauli ir šķautnes, ST-GCN pielieto grafu konvolūcijas telpā un laikā, lai atpazītu darbības no skeletu sekvencēm.

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  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

Kā citēt šo lapu

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

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ScholarGateSpatial-Temporal GCN (Spatial-Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition). Izgūts 2026-06-15 no https://scholargate.app/lv/deep-learning/spatial-temporal-gcn · Datu kopa: https://doi.org/10.5281/zenodo.20539026