Closed amodas closed 3 years ago
noise2net models were pretrained for a portion of the results at least, following AugMix. (However, this may have been from pre-experimentation.) We hardcoded pretrained=True so that things behaved correctly if we forgot the pretrained flag, though of course such hardcoding is not a best coding practice.
Hi,
It seems that at Line173 of train_noise2net.py the
pretrained
argument of ResNet50 is always set toTrue
.Is this simply a bug or something we should take into account? As far as I understand, the results of the paper do not consider an ImageNet pre-trained classifier, right?
Thanks, Apostolos