IMRMB-Net: A lightweight student behavior recognition model for complex classroom scenarios.

With the continuous advancement of education informatization, classroom behavior analysis has become an important tool to improve teaching quality and student learning outcomes. However, student classroom behavior recognition methods still face challenges such as occlusion, small objects, and enviro...

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Bibliographic Details
Main Authors: Caihong Feng, Zheng Luo, Deyao Kong, Yunhong Ding, Jingyu Liu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0318817
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