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注意引导的混合学习用于制造环境中准确的缺陷分类

Mahmoud SalahEldin Kasem1,2, Mohamed Mahmoud1,3, Mostafa Farouk Senussi1,3

  • 1School of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, Republic of Korea.

Scientific reports
|December 11, 2025
PubMed
概括

本研究引入了用于工业缺陷分类的混合深度学习框架,实现了最先进的准确性. 该模型集成了YOLOv11和EfficientNet-B7,用于在制造过程中强大的多类缺陷识别.

关键词:
注意力机制注意力机制深度学习是一种深度学习.缺陷分类 缺陷分类 缺陷分类有效的网络有效的网络工业检查 工业检查 工业检查 工业检查视觉异常检测检测 视觉异常检测这是一个YOLO YOLO.

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