AI RESEARCH
Student Classroom Behavior Recognition Based on Improved YOLOv8s
arXiv CS.CV
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ArXi:2604.27293v1 Announce Type: new In classroom teaching, student behavior can reflect their learning state and classroom participation, which is of great significance for teaching quality analysis. To address the problems of dense student targets, numerous small objects, frequent occlusions, and imbalanced class distribution in real classroom scenes, this paper proposes an improved student classroom behavior recognition model named ALC-YOLOv8s based on YOLOv8s. The model