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Different Loss Functions #278

@TobiArndt

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@TobiArndt

Hi,
I really like your work!
I have got a question with respect to the loss functions: Is there a chance to use loss functions from the unsupervised regime? Like Student-Teacher Losses, where the final loss is the difference between the intermediate layer between a frozen teacher and a trainanble student network?
This could be important for filtering anomalies from a dataset, so that only the non-anomaly images can be used for training the anomaly detector.
Thank in advanced!

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