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In this paper, we explore and compare multiple solutions to the problem of data augmentation in image classification.
Document image analysis
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Deep big simple neural nets excel on handwritten digit recognition
D. C. Ciresan, U. Meier, L. M. Gambardella, and J. Schmidhuber · 2010
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A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal and Z. Ghahramani · 2015
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Compacting Neural Network Classifiers via Dropout Training
Y. Kubo, G. Tucker, and S. Wiesler · 2016
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Regularization for unsupervised deep neural nets
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Understanding data augmentation for classification: when to warp?
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