Source code for our NGC paper is available at here.
NGC is a unified framework that can not only handle both in-distribution and out-of-distribution label noise in the training set, but detect out-of-distribution samples at test time.
Please cite our paper if you find it helpful.
@InProceedings{Wu_2021_ICCV,
author = {Wu, Zhi-Fan and Wei, Tong and Jiang, Jianwen and Mao, Chaojie and Tang, Mingqian and Li, Yu-Feng},
title = {NGC: A Unified Framework for Learning With Open-World Noisy Data},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
year = {2021},
pages = {62-71}
}