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A Spatiotemporal Multi-Feature Extraction Framework with Space and Channel Based Squeeze and Excitation Blocks for Human Activity Recognition
2021-07-25  Hits:

Affiliation of Author(s):信息科学与工程学院
Journal:Journal of Ambient Intelligence and Humanized Computing
First Author:张贝贝
Indexed by:Unit Twenty Basic Research
Document Code:C010C08A494B497A97C82F898464CB33
Issue:12
Page Number:7983
Number of Words:9
Translation or Not:no
Date of Publication:2021-07-25
Date of Publication:2021-07-25