Abstract: Unsupervised anomaly detection methods can identify surface defects in industrial images by leveraging only normal samples for training. Due to the risk of overfitting when learning from a ...
Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States Program in Materials Science and Engineering, University of California, San ...
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