An exhaustive offline data augmentation was done to circumvent the
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A survey of automated data augmentation algorithms for deep
Frontiers Applications and Techniques for Fast Machine Learning
nnU-Net : The no-new-UNet for automatic segmentation, by Prateek Gupta, MICCAI Educational Initiative
PDF) Text Data Augmentation for Deep Learning
GitHub - AgaMiko/data-augmentation-review: List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
Rethinking Data Augmentations: A Causal Perspective
Example of an eye with inferior thinning of the RNFL classified as
An exhaustive offline data augmentation was done to circumvent the
A novel data augmentation approach to fault diagnosis with class
