CutMix1 CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features 정리 논문: https://arxiv.org/abs/1905.04899 CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesRegional dropout strategies have been proposed to enhance the performance of convolutional neural network classifiers. They have proved to be effective for guiding the model to attend on less discriminative parts of objects (e.g. leg as opposed to head ofarxiv.orgTitle: CutMi.. 2025. 12. 12. 이전 1 다음
