A robust weakly supervised learning of deep Conv-Nets for surface defect inspection
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DOI: 10.1007/s00521-020-04819-5
Abstract: Automatic defect detection is a challenging task owing to the complex textured background with non-uniform intensity distribution, weak differences between defects and background, diversity of defect types, and high cost of annotated samples. In order… read more here.
Keywords: robust weakly; learning deep; weakly supervised; segmentation ... See more keywords