Hi. Thank you for publishing the code. I am trying to do an experiment with Few-shot learning benchmark datasets (i.e., CIFAR-FS and FC100) with the data loader. While as I understand, there is no overlapping between meta-training classes and meta-testing classes (i.e., as the description of the FC100 dataset from the link here https://paperswithcode.com/dataset/fc100).
However, when I check the label sets of train, validation, and test set, there is still overlapping (very seriously) as below :
Because I am a newbie with this few-shot learning setting therefore it should be my miss understanding in some parts of the few-shot learning setting but I don’t know what it is?
Could you please help?
Thanks a lot.
Hi. Thank you for publishing the code. I am trying to do an experiment with Few-shot learning benchmark datasets (i.e., CIFAR-FS and FC100) with the data loader. While as I understand, there is no overlapping between meta-training classes and meta-testing classes (i.e., as the description of the FC100 dataset from the link here https://paperswithcode.com/dataset/fc100).
However, when I check the label sets of train, validation, and test set, there is still overlapping (very seriously) as below :
Output:
Because I am a newbie with this few-shot learning setting therefore it should be my miss understanding in some parts of the few-shot learning setting but I don’t know what it is? Could you please help? Thanks a lot.