PyTorch Code for the following paper at CVPR2023: Title:OT-Filter: An Optimal Transport Filter for Learning with Noisy Labels Authors:Chuanwen Feng, Yilong Ren, Xike Xie Institute: University of Science and Technology of China(USTC) https://openaccess.thecvf.com/content/CVPR2023/papers/Feng_OT-Filter_An_Optimal_Transport_Filter_for_Learning_With_Noisy_Labels_CVPR_2023_paper.pdf

Requirements: python 3.9 pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu117 pip install scikit-learn pip install pot

Experiments: python Train_CIFAR.py

Cite OT-Filter If you find the code useful in your research, please consider citing our paper: @InProceedings{Feng_2023_CVPR, author = {Feng, Chuanwen and Ren, Yilong and Xie, Xike}, title = {OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16164-16174}