XJTU-XGU / RSDA

Code for paper "Spherical space domain adaptation with pseudo label (CVPR 2020)" and "Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation (TPAMI 2022)".

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RSDA (CVPR, TPAMI)

Code for paper the following papers:

Xiang Gu, Jian Sun, Zongben Xu, Spherical Space Domain Adaptation with Robust Pseudo-label Loss, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020. (Conference version)

Xiang Gu, Jian Sun, Zongben Xu, Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation, IEEE IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Journal version)

Codes for unsupervised and semi-supervised domain adaptation are respectively in folders UDA and SSDA. The code for SSDA is coming soon!

Citation

If this code is helpful, please cite

@InProceedings{Gu_2020_CVPR,
author = {Gu, Xiang and Sun, Jian and Xu, Zongben},
title = {Spherical Space Domain Adaptation With Robust Pseudo-Label Loss},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}

@ARTICLE{9733209,
  author={Gu, Xiang and Sun, Jian and Xu, Zongben},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation}, 
  year={2022},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/TPAMI.2022.3158637}
}

Contact

For any problem, please do not hesitate to contact xianggu@stu.xjtu.edu.cn.

About

Code for paper "Spherical space domain adaptation with pseudo label (CVPR 2020)" and "Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation (TPAMI 2022)".


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