Automatic Unsupervised Fabric Defect Detection Based on Self-Feature Comparison
Due to the huge demand for textile production in China, fabric defect detection is particularly attractive. At present, an increasing number of supervised deep-learning methods are being applied in surface defect detection. However, the annotation of datasets in industrial settings often depends on...
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Auteurs principaux: | , , , , |
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Format: | article |
Langue: | EN |
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MDPI AG
2021
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Accès en ligne: | https://doaj.org/article/31b7c9e6f72c4afaab16d01da69f689b |
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