Learning data augmentation policies using augmented random search

12 Nov 2018 Mingyang Geng Kele Xu Bo Ding Huaimin Wang Lei Zhang

Previous attempts for data augmentation are designed manually, and the augmentation policies are dataset-specific. Recently, an automatic data augmentation approach, named AutoAugment, is proposed using reinforcement learning... (read more)

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Methods used in the Paper


METHOD TYPE
Random Search
Hyperparameter Search
Sigmoid Activation
Activation Functions
Tanh Activation
Activation Functions
LSTM
Recurrent Neural Networks
AutoAugment
Image Data Augmentation