Abstract: Computer vision-based methods for rail defect detection can automatically identify defects on railroad surfaces to ensure transportation safety. However, these methods face challenges, such ...
Abstract: Currently, deep neural networks for industrial defect recognition still face imbalance problems, due to the difficulty in accessing the rare defect samples. To address this problem, existing ...
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