Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Rotate four angles. Are these photos in four categories #30

Open
SplusCu opened this issue Sep 13, 2022 · 1 comment
Open

Rotate four angles. Are these photos in four categories #30

SplusCu opened this issue Sep 13, 2022 · 1 comment

Comments

@SplusCu
Copy link

SplusCu commented Sep 13, 2022

Why is it necessary to rotate each type of photo at different angles in the experiment? Are these photos in four categories?

@fabian57fabian
Copy link

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.

In my own implementation i describe that: https://github.com/fabian57fabian/prototypical-networks-few-shot-learning

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants