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...
| Main Authors: | , , , |
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| Format: | Article |
| Jezik: | English |
| Izdano: |
MDPI AG
2022-07-01
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| Serija: | Applied Sciences |
| Teme: | |
| Online dostop: | https://www.mdpi.com/2076-3417/12/13/6790 |