Classroom Behavior Detection Based on Improved YOLOv5 Algorithm Combining Multi-Scale Feature Fusion and Attention Mechanism

Classroom Behavior Detection Based on Improved YOLOv5 Algorithm Combining Multi-Scale Feature Fusion and Attention Mechanism

The detection of students’ behaviors in classroom can provide a guideline for assessing the effectiveness of classroom teaching. This study proposes a classroom behavior detection algorithm using an improved object detection model (i.e., YOLOv5). First, the feature pyramid structure (FPN+PAN) in the...

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מידע ביבליוגרפי
Main Authors:	Longyu Tang, Tao Xie, Yunong Yang, Hong Wang
פורמט:	Article
שפה:	English
יצא לאור:	MDPI AG 2022-07-01
סדרה:	Applied Sciences
נושאים:	classroom behavior detection attention mechanism pyramid network non-maximal suppression
גישה מקוונת:	https://www.mdpi.com/2076-3417/12/13/6790

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