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Implement RandomResizedCrop layer
See original GitHub issueRandomly resized cropping is pretty much a standard augmentation transformation that is used to train vision models. Recently, a team at Facebook also showed why it’s often necessary to include this transformation for better generalization [1].
An implementation of this layer in PyTorch is available as RandomResizedCrop.
References:
Issue Analytics
- State:
- Created 2 years ago
- Comments:19 (9 by maintainers)
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@AdityaKane2001 we had a discussion about the randomizzation in the batch at https://github.com/keras-team/keras-cv/pull/146
They’d be a RaggedTensor really, which is a bad UX