A Light-Weight Deep-Learning Model with Multi-Scale Features for Steel Surface Defect Classification

Automatic inspection of surface defects is crucial in industries for real-time applications. Nowadays, computer vision-based approaches have been successfully employed. However, most of the existing works need a large number of training samples to achieve satisfactory classification results, while c...

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Detalles Bibliográficos
Autores principales: Liu, Yang, Yuan, Yachao, Balta, Cristhian, Liu, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603043/
https://www.ncbi.nlm.nih.gov/pubmed/33081388
http://dx.doi.org/10.3390/ma13204629

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603043/
https://www.ncbi.nlm.nih.gov/pubmed/33081388
http://dx.doi.org/10.3390/ma13204629

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