Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation

9 Oct 2015Søren HaubergOren FreifeldAnders Boesen Lindbo LarsenJohn W. Fisher IIILars Kai Hansen

Data augmentation is a key element in training high-dimensional models. In this approach, one synthesizes new observations by applying pre-specified transformations to the original training data; e.g.~new images are formed by rotating old ones... (read more)

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