Abstract:Among the fabric defect detection methods, unsupervised methods are based on the principle of training a network to restore a fabric image with defects to a flawless image with a consistent background and no visible defects, and to obtain specific information about the defects by comparing the two images for defect detection. However, most of the restored images cannot remove the defective part completely, and the more obvious defects are still visible. To solve the above problem, this paper proposes the jump … Show more
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