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It seems like such an obvious and surmountable problem though. Indeed since 2020 there are robust approaches to eliminating JPEG artifacts, for example - browse
by doctorpangloss 2y ago
It seems like such an obvious and surmountable problem though. Indeed since 2020 there are robust approaches to eliminating JPEG artifacts, for example - browse around here - https://openmodeldb.info/ https://openmodeldb.info/.
- pvillano 2y agoYou're right. In order to be a big problem, the error needs to be non-cancelling and inseparable. That makes me wonder: if you label good data, and generate data with the good label, how much benefit do you get from also training on okay data?