山东大学教师主页许宏吉 A spatiotemporal multi-feature extraction framework with space and channel based squeeze-and-excitation blocks for human activity recognition 中文主页

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A spatiotemporal multi-feature extraction framework with space and channel based squeeze-and-excitation blocks for human activity recognition

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所属单位：信息科学与工程学院

论文名称：A spatiotemporal multi-feature extraction framework with space and channel based squeeze-and-excitation blocks for human activity recognition

发表刊物：Journal of Ambient Intelligence and Humanized Computing

第一作者：张贝贝

论文编号：D99CF42E705647D68641C15B896A2DFB

期号：7

页面范围：7983

字数：7

是否译文：否

发表时间：2021-07

发布时间：2023-10-11

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