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FDD: a deep learning–based steel defect detectors

Surface defects are a common issue that affects product quality in the industrial manufacturing process. Many companies put a lot of effort into developing automated inspection systems to handle this issue. In this work, we propose a novel deep learning–based surface defect inspection system called...

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Detalles Bibliográficos
Autores principales: Akhyar, Fityanul, Liu, Ying, Hsu, Chao-Yung, Shih, Timothy K., Lin, Chih-Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988608/
https://www.ncbi.nlm.nih.gov/pubmed/37073280
http://dx.doi.org/10.1007/s00170-023-11087-9