Thanks for your fantastic work, but I have a question about the validation dataset: whether you split the training set into two parts: train and val, when train the base model, and the number of val samples per class in base and new sessions?
The new class training sets are constructed by picking N samples for each class from the original dataset. So just pick another N samples for validation purpose.
Thanks for your fantastic work, but I have a question about the validation dataset: whether you split the training set into two parts: train and val, when train the base model, and the number of val samples per class in base and new sessions?