search

sgvaze / osr_closed_set_all_you_need

Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"
MIT License
263 stars 32 forks source link

Random Augment M & N #4

Closed DevD1092 closed 2 years ago

DevD1092 commented 2 years ago

Thanks for this amazing codebase.

I think the M & N for the Random Augment have been interchanged in the README and the code. M should be N and vice-versa.

As in the file data.augmentations.randaugment.py Line 277 Line 278 correspond to the correct setting. Please let me know if this is wrong. May be just update the README to alleviate any confusion.

sgvaze commented 2 years ago

Hi, thanks for your interest in our work and apologies for the delayed reply - we had a deadline.

That's a great spot, thanks! Fixed here: ddea5de7883d3021c6a2e9ca6894196a19660eac