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A Fabric Defect Detection Method Based on Deep Learning

Fabric defect detection is a challenging task in the fabric industry because of the complex shapes and large variety of fabric defects. Many methods have been proposed to solve this problem, but their detection speed and accuracy were very low. As a classic deep learning method and end-to-end target...

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Библиографические подробности
Главные авторы: Qiang Liu, Chuan Wang, Yusheng Li, Mingwang Gao, Jingao Li
Формат: Artigo
Язык:Inglês
Опубликовано: IEEE 2022-01-01
Серии:IEEE Access
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Online-ссылка:https://ieeexplore.ieee.org/document/9667506/
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