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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

论文类型：基础研究

论文编号：C010C08A494B497A97C82F898464CB33

期号：12

页面范围：7983

字数：9

是否译文：否

发表时间：2021-07

发布时间：2022-01-18

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