A Self-Supervised Model Based on CutPaste-Mix for Ductile Cast Iron Pipe Surface Defect Classification

Online surface inspection systems have gradually found applications in industrial settings. However, the manual effort required to sift through a vast amount of data to identify defect images remains costly. This study delves into a self-supervised binary classification algorithm for addressing the...

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Detalles Bibliográficos
Autores principales: Zhang, Hanxin, Sun, Qian, Xu, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575453/
https://www.ncbi.nlm.nih.gov/pubmed/37837073
http://dx.doi.org/10.3390/s23198243

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575453/
https://www.ncbi.nlm.nih.gov/pubmed/37837073
http://dx.doi.org/10.3390/s23198243

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