Abstract: To solve the problem of low accuracy caused by threshold constraints in traditional decision-level fusion methods, this article proposes a deep learning method based on an attention ...
Abstract: High-quality and diverse datasets are crucial for supervised learning in industrial defect detection, yet collecting such data remains challenging. Synthetic data generation offers a ...
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