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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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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2022-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/9761925/ |
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