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Lightweight Student Classroom Behavior Detection Algorithm Based on TAR-YOLO
Graphic and Image Processing | 更新时间：2025-09-30

    • Lightweight Student Classroom Behavior Detection Algorithm Based on TAR-YOLO

    • “In the field of student classroom behavior detection, researchers have proposed a TAR-YOLO model based on improved YOLOv8, which effectively improves the accuracy of small object detection through task aligned dynamic detection heads and hierarchical feature aggregation convolution, providing a new solution for behavior analysis in classroom scenes.”
    • Software Guide   Vol. 24, Issue 9, Pages: 189-198(2025)

    • DOI：10.11907/rjdk.251357    

      CLC： TP391.41

    • Received：22 May 2025，

      Published：15 September 2025

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  • LI Jinlong,ZHENG Lin,WANG Haoyu,et al.Lightweight Student Classroom Behavior Detection Algorithm Based on TAR-YOLO[J].Software Guide,2025,24(09):189-198. DOI： 10.11907/rjdk.251357.

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