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YOLOv11-GLIDE:一个改进的YOLOv11n学生行为检测算法,基于基于规模的动态损失和道先前卷积注意力

Haiyan Wang1, Guiyuan Gao1, Wei Zhang1

  • 1College of Computer Science and Technology, Changchun University, Changchun 130022, China.

Sensors (Basel, Switzerland)
|November 27, 2025
PubMed
概括

这项研究介绍了YOLOv11-GLIDE,这是一种改进的算法,用于识别学生的课堂行为. 它提高了准确性和效率,为智能教育系统提供了有价值的数据.

关键词:
道前卷积注意力 卷积注意力基于规模的动态损失.稀疏的深度卷曲 稀疏的深度卷曲这是YOLOv11n.

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