STD-Explain: Generalizing explanations for spatio-temporal graph convolutional networks based on spatio-temporal decoupled perturbation

Spatio-temporal graph convolutional networks utilize an alternating combination of one-dimensional ordinary convolution and graph convolution to extract spatio-temporal features. This alternation intertwines temporal and spatial features closely, leading to a tight coupling between them. The presenc...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 657; p. 131539
Main Authors:	Li, Yanshan, Shi, Ting, He, Suixuan, Chen, Zhiyuan, Zhang, Li, Yu, Rui, Xie, Weixin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 07.12.2025
Subjects:	Explainability algorithm Human skeleton action recognition Spatio temporal graph convolutional networks Spatio-temporal decoupling Human skeleton action recognition Spatio-temporal decoupling Explainability algorithm Spatio temporal graph convolutional networks
ISSN:	0925-2312
Online Access:	Get full text
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