Student classroom behavior detection algorithm based on improved yolov8n

HIGHLIGHTS

• What: To verify the optimization effect of each module, ablation experiments were conducted in this paper, and the results are shown in Table 1. The authors propose a classroom behavior detection algorithm based on the improved YOLOv8n model, which improves the feature learning ability of the model by adding the attention mechanism to the baseline model, and improves the accuracy and speed of the model by introducing the WIoU bounding box loss function.
• Who: YOLOv et al. from the School of Applied Technology, University of Science and Technology Liaoning, Anshan, China have published the Article . . .
  

   

  

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