some questions about the paper and code about metaoptnet HOT 3 CLOSED

Thanks for your interest in our paper.

Q1: Does this mean that the number of training samples during the meta-train is different from the number of training samples during the meta-test?
A1: Yes. The result in Figure 2 is an empirical result and we are not very sure why this phenomenon is happening.

Q2: I was confused about ‘train-shot’, ‘val-shot’, ‘train-query’, ‘val-query’, I hope you can explain these.
A2: ‘train-shot’ means number of training examples for each category per episode during meta-training.
‘val-shot’ means number of training examples for each category per episode during meta-validation.
‘train-query’ means number of test (query) examples per episode during meta-training.
‘val-query’ means number of test (query) examples per episode during meta-validation.

from metaoptnet.

Thank you for your reply.
When it comes to 'K-way,N-shot',‘ Here K denotes the number of classes, and N denotes the number of training examples per class.’，Implied in the article.Do these mean K-way and N-shot during meta-testing?

from metaoptnet.

Yes.

from metaoptnet.