SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization

2 Jun 2020A. F. M. Shahab UddinMst. Sirazam MoniraWheemyung ShinTaeChoong ChungSung-Ho Bae

Advanced data augmentation strategies have widely been studied to improve the generalization ability of deep learning models. Regional dropout is one of the popular solutions that guides the model to focus on less discriminative parts by randomly removing image regions, resulting in improved regularization... (read more)

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