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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |