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Magnetic Tile Surface Defect Detection Methodology Based on Self-Attention and Self-Supervised Learning
As the core component of permanent magnet motor, the magnetic tile defects seriously affect the quality of industrial motor. Automatic recognition of the surface defects of the magnetic tile is a difficult job since the patterns of the defects are complex and diverse. The existing defect recognition...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365534/ https://www.ncbi.nlm.nih.gov/pubmed/35965754 http://dx.doi.org/10.1155/2022/3003810 |