Gradual image size increase

This article mention gradually increasing image size during training. https://www.fast.ai/2018/08/10/fastai-diu-imagenet/ You need to be using adaptive pooling to take into account the different image sizes…

But I am wondering how this is implemented in terms of image resizing scheduling. Do they first fit one epoch with a specific size, then increase the size a little bit for the next epoch like it is shown in the courses, or are they using something more clever like gradually increasing the image size while fitting one epoch? I would be interested in finding more information about this and how this could be implemented in fastai.

Thanks!

I’m currently doing an experiment for this somewhat with transfer learning. I’m hoping to have a medium article or at the very least a fastai post on this here within the next week.

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Excellent could you update this post once you finish your article?

Thanks!

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Absolutely!