I've noticed that based on the custom dataset the author wrote, there could be overlaps meta-training and meta-testing, as the classes are chosen in line 106 in MiniImagenet.py, so when creating the meta-testset, the classes selected from the meta-trainset could reappear again in the test set. Not sure if im correct.
I've noticed that based on the custom dataset the author wrote, there could be overlaps meta-training and meta-testing, as the classes are chosen in line 106 in
MiniImagenet.py
, so when creating the meta-testset, the classes selected from the meta-trainset could reappear again in the test set. Not sure if im correct.