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}
}