RotationNet paper implemented in

As a personal capstone project for Part 2 (2019), I took a big bite and attempted to implement my first paper: Initially I didn’t think it was too different from the image classification tasks that we already mastered in Part 1, but I soon learned that it had some interesting ideas that proved quite the challenge not only understand but also also to implement. It was a great learning experience, and I’m happy to say I’m no longer afraid of callbacks:)

I wrote all about it here:

Feedback and suggestions are always welcome.

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