Official PyTorch github repository for the paper Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss published in The Conference on Computer Vision and Pattern Recognition (CVPR) held at Long Beach, California in June, 2019.
python resnet50_dwt_mec_officehome.py --s_dset_path path-to-source-dataset-folder --t_dset_path path-to-target-dataset folder --resnet_path path-to-pre-trained-resnet50-weights
python usps_mnist.py --group_size 4 --source 'usps' --target 'mnist'
If you find this code useful for your research, please cite our paper:
@article{roy2019unsupervised,
title={Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss},
author={Roy, Subhankar and Siarohin, Aliaksandr and Sangineto, Enver and Bulo, Samuel Rota and Sebe, Nicu and Ricci, Elisa},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2019}
}