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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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Библиографические подробности
Главные авторы: Xiongjiang Xiao, Ziliang Ren, Huan Li, Wenhong Wei, Zhiyong Yang, Huaide Yang
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI AG 2023-04-01
Серии:Mathematics
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Online-ссылка:https://www.mdpi.com/2227-7390/11/9/2115
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