Hi, Floodsung! Thanks for your great work firstly. Recently, I am reading your codes about rational networks. In your code. Dataset mean value and variance value in Omniglot dataset are same as the miniImageNet dataset. In my opinion, these values should be suited to their own data separately. Especially, Omniglot images are greyscaled images where MiniImageNet images are color images.
I wonder if this unsuitable normalization would affect the final results of classification.
Hi, Floodsung! Thanks for your great work firstly. Recently, I am reading your codes about rational networks. In your code. Dataset mean value and variance value in Omniglot dataset are same as the miniImageNet dataset. In my opinion, these values should be suited to their own data separately. Especially, Omniglot images are greyscaled images where MiniImageNet images are color images. I wonder if this unsuitable normalization would affect the final results of classification.
Thanks!