SlowFast Multimodality Compensation Fusion Swin Transformer Networks for RGB-D Action Recognition

RGB-D-based technology combines the advantages of RGB and depth sequences which can effectively recognize human actions in different environments. However, the spatio-temporal information between different modalities is difficult to effectively learn from each other. To enhance the information excha...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Xiongjiang Xiao, Ziliang Ren, Huan Li, Wenhong Wei, Zhiyong Yang, Huaide Yang
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Subjects:	action recognition multimodality compensation SlowFast pathways swin transformer dual-stream
Online Access:	https://www.mdpi.com/2227-7390/11/9/2115