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...

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Detalles Bibliográficos
Autores principales: Liu, Wenzhe, Zhang, Jiehua, Su, Zhuo, Zhou, Zhongzhu, Liu, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

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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