CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
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Venue
ICCV 2019
Abstract
Combines cutting and mixing: patches from one image replace regions in another, with labels mixed proportionally. Improves over Cutout by using cut pixels constructively rather than zeroing them out.
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