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renmengye / few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification
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Question for Omniglot dataset setting #19

Open kimwj94 opened 3 years ago

kimwj94 commented 3 years ago

Hi, I have a question for Omniglot dataset setting. In the paper, for test episode,

We used M = 5 for training and M = 20 for testing in most cases, thus measuring the ability of the models to generalize to a larger unlabeled set size.

But in Omniglot dataset, there are only 20 samples per class, so I think M(the number of unlabeled data in support set for one class) should be less than 20. How did you set M for experiments with Omniglot dataset?