Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification
ICASSP, pp. 3642-3646, 2020.
Convolutional neural networks (CNN) are capable of learning robust representation with different regularization methods and activations as convolutional layers are spatially correlated. Based on this property, a large variety of regional dropout strategies have been proposed, such as Cutout, DropBlock, CutMix, etc. These methods aim to ...More
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