STaDA applies neural style transfer as a data augmentation method for image classification, reporting up to 2% accuracy improvement on Caltech 101 with VGG16, though the effect varies strongly by style.
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STaDA: Style Transfer as Data Augmentation
STaDA applies neural style transfer as a data augmentation method for image classification, reporting up to 2% accuracy improvement on Caltech 101 with VGG16, though the effect varies strongly by style.