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A Spatiotemporal Multi-Feature Extraction Framework with Space and Channel Based Squeeze and Excitation Blocks for Human Activity Recognition
Release Time:2022-01-18| Hits:

Institution:信息科学与工程学院
Title of Paper:A Spatiotemporal Multi-Feature Extraction Framework with Space and Channel Based Squeeze and Excitation Blocks for Human Activity Recognition
Journal:Journal of Ambient Intelligence and Humanized Computing
First Author:张贝贝
Document Code:C010C08A494B497A97C82F898464CB33
Issue:12
Page Number:7983
Number of Words:9
Translation or Not:No
Date of Publication:2021-07
Release Time:2022-01-18

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