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Student Classroom Behavior Detection Based on Video Spatio-Temporal Features
更新时间：2024-09-02
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    • Student Classroom Behavior Detection Based on Video Spatio-Temporal Features

    • “在教育技术领域，研究者提出了YOLOv7-SlowFast课堂行为检测方法，通过自适应空间特征融合和时间注意力模块，有效提高了检测精度，为改进教学方式提供新方案。”
    • Software Guide   Vol. 23, Issue 8, Pages: 267-274(2024)

    • DOI：10.11907/rjdk.231427    

      CLC： TP391

    • Published：15 August 2024，

      Received：25 April 2023，

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  • LIU Hong,ZHANG Shiwen,SUN Cheng,et al.Student Classroom Behavior Detection Based on Video Spatio-Temporal Features[J].Software Guide,2024,23(08):267-274. DOI： 10.11907/rjdk.231427.

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