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Computer Modeling in Engineering & Sciences2025,Vol.144Issue(7):P.1143-1164,22.DOI:10.32604/cmes.2025.066984
A Novel Attention-Based Parallel Blocks Deep Architecture for Human Action Recognition
摘要
关键词
Human action recognition/self-attention/video streams/residual bottleneck/classification/neural networks分类
信息技术与安全科学引用本文复制引用
Yasir Khan Jadoon,Yasir Noman Khalid,Muhammad Attique Khan,Jungpil Shin,Fatimah Alhayan,Hee-Chan Cho,Byoungchol Chang..A Novel Attention-Based Parallel Blocks Deep Architecture for Human Action Recognition[J].Computer Modeling in Engineering & Sciences,2025,144(7):P.1143-1164,22.基金项目
Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(*MSIT)(No.2018R1A5A7059549) (NRF)
the Competitive Research Fund of The University of Aizu,Japan. ()