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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Bibliographic Details
Main Authors: Longyu Tang, Tao Xie, Yunong Yang, Hong Wang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
classroom behavior detection
attention mechanism
pyramid network
non-maximal suppression
Online Access:https://www.mdpi.com/2076-3417/12/13/6790

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https://www.mdpi.com/2076-3417/12/13/6790

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