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ET-YOLOv5s: Toward Deep Identification of Students’ in-Class Behaviors

Recognizing students’ behaviors in classes based on videos of their activity plays an important role in improving teaching quality and paying attention to the healthy growth of students. The existing student behavior recognition methods mainly focus on the behavior of the single student a...

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Autores principales: Lina Li, Minghan Liu, Liyan Sun, Yupeng Li, Nianfeng Li
Formato: Artigo
Lenguaje:Inglês
Publicado: IEEE 2022-01-01
Colección:IEEE Access
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Acceso en línea:https://ieeexplore.ieee.org/document/9761925/
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