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Found 2 papers, 1 papers with code
Meta Approach to Data Augmentation Optimization
Data augmentation policies drastically improve the performance of image recognition tasks, especially when the policies are optimized for the target data and tasks.
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
In this paper, we propose a differentiable policy search pipeline for data augmentation, which is much faster than previous methods.
Ranked #1 on
Data Augmentation
on CIFAR-10
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