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Skeleton-based action recognition based on hyper-connected graph convolutional network
更新时间：2025-05-26

    • Skeleton-based action recognition based on hyper-connected graph convolutional network

    • “In the field of behavior recognition, experts have proposed a hyper connected graph convolutional network model and verified its excellent accuracy and generalization ability.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 2, Pages: 731-740(2025)
    • 作者机构：

      1.江南大学 机械工程学院，江苏 无锡 214122

      2.江南大学 江苏省食品制造装备重点实验室，江苏 无锡 214122

    • DOI：10.13229/j.cnki.jdxbgxb.20230440    

      CLC： TP391.41

    • Received：05 May 2023，

      Published：01 February 2025

    移动端阅览

  • CAO Yi,XIA Yu,GAO Qing-yuan,et al.Skeleton-based action recognition based on hyper-connected graph convolutional network[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(02):731-740. DOI： 10.13229/j.cnki.jdxbgxb.20230440.

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