Data Augmentation Using Random Image Cropping and Patching for Deep CNNs
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DOI: 10.1109/tcsvt.2019.2935128
Abstract: Deep convolutional neural networks (CNNs) have achieved remarkable results in image processing tasks. However, their high expression ability risks overfitting. Consequently, data augmentation techniques have been proposed to prevent overfitting while enriching datasets. Recent CNN… read more here.
Keywords: cnns; random image; image; data augmentation ... See more keywords