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I think that, since the omniglot dataset was created by 20 different people and every character has 20 examples, we need more of them. So we do a simple augmentation by rotating 3 more times by 90 degrees.
On top of that, using 5-shot 15-query you always use all the examples in each iteration, so it's not perfect.
Why is it necessary to rotate each type of photo at different angles in the experiment? Are these photos in four categories?
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