This is the Python+PyTorch code to reproduce the results of domain adaptation in image classification in paper 'Mutual variational inference: An indirect variational inference approach for unsupervised domain adaptation'.

• Platform : Linux
• Computing Environment:
  • CUDA 10.1
  • PyTorch
• Packages: pandas, numpy, scipy, argparse, tqdm.
• Hardware : Nvidia GPU

• Download ResNet-50 pretrained model and place it under model/.
• Download necessary DA datasets and place it under data/.
• Run bash file batchrun.sh

Please cite our paper if you found it usefull.

@article{chen2021mutual,
  title={Mutual variational inference: An indirect variational inference approach for unsupervised domain adaptation},
  author={Chen, Jiahong and Wang, Jing and de Silva, Clarence W},
  journal={IEEE Transactions on Cybernetics},
  year={2022},
  volume={52},
  number={11},
  pages={11491-11503},
  doi={10.1109/TCYB.2021.3107292}
}