HMA

PyTorch implementation for Homeomorphism Alignment for Unsupervised Domain Adaptation (ICCV2023). This repository is based on framework from CAN and modified part of the code.

The installation can refer to CAN.

Please download datasets to experiments/datasets/ folder.

Training:

CUDA_VISIBLE_DEVICES=X python tools/train.py --method CAN_INN --cfg experiments/config/home/cfgXXXX.yaml

Citation

If you think our paper or code is helpful to you, we very much hope that you can cite our paper, thank you very much.

@inproceedings{zhou2023homeomorphism,
  title={Homeomorphism Alignment for Unsupervised Domain Adaptation},
  author={Zhou, Lihua and Ye, Mao and Zhu, Xiatian and Xiao, Siying and Fan, Xu-Qian and Neri, Ferrante},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={18699--18710},
  year={2023}
}