ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation
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DOI: 10.1109/tnnls.2022.3222044
Abstract: Data augmentation (DA) is a widely used technique for enhancing the training of deep neural networks. Recent DA techniques which achieve state-of-the-art performance always meet the need for diversity in augmented training samples. However, an… read more here.
Keywords: ood; resmooth detecting; data augmentation; ood samples ... See more keywords