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!
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!