google-deepmind / google-deepmind/image_obfuscation_benchmark

Comparing Augmentation Methods

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Description

Hi,

I have a few questions about the "Comparing Augmentation Methods" part of the paper and appreciate your help on them:
1- For this part, the experiments have only been performed on resnet50. Do you have any results for the ViT-based models?
2- Did you train the resent50 from scratch?
3- Are the augmentations applied on all images during the training or a part has gone through CutMix for example?
4- What is the $\alpha$ parameter for MixUp?
(Sharing your augmentation pipeline would be very helpful)

Thanks,
Sara

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