Self-supervised fabric defect detection model combined with transformer
Huosheng Xie,
Yuan Zhao
Abstract:In industrial manufacturing, defect detection is essential. Since the 2020's ViT (vision transformer) hit the scene, ViT has been increasingly used for defect detection tasks in the vision domain. The advantage of ViT over convolutional neural networks (CNNs) is its ability to capture global remote dependencies to learn better features. In addition to this, contrast learning based on self-supervised methods has been well used in defect detection tasks. In this study, we suggest a strategy for detecting fabric … Show more
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