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Binary Neural Network for Automated Visual Surface Defect Detection
As is well-known, defects precisely affect the lives and functions of the machines in which they occur, and even cause potentially catastrophic casualties. Therefore, quality assessment before mounting is an indispensable requirement for factories. Apart from the recognition accuracy, current networ...
Autores principales: | Liu, Wenzhe, Zhang, Jiehua, Su, Zhuo, Zhou, Zhongzhu, Liu, Li |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541482/ https://www.ncbi.nlm.nih.gov/pubmed/34696081 http://dx.doi.org/10.3390/s21206868 |
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