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I am looking for arguments on which Data augmentation (Mixup VS CutMix) method would be preferable for Image data and Time-series classification data. As for as I know, both have the following qualities:

  • Does not relay on the domain expert knowledge
  • Domain independent and simple to apply

However, I am curious as to which is superior for time series data classification for end to end deep learning training and why.

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