SymNets
Official PyTroch implementation for "Domain-Symnetric Networks for Adversarial Domain Adaptation (CVPR 2019)". A sinigficant journal extension of this work (including a novel theoretical framework) is introduced at "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice". Codes .
Prerequisites
Linux
NVIDIA GPU + CUDA (may CuDNN) and corresponding PyTorch framework (version 0.5.0)
Python 3.6
Training and Evaluation
Please refer to 'run.sh'
Citation
@inproceedings{zhang2019domain,
title={Domain-symmetric networks for adversarial domain adaptation},
author={Zhang, Yabin and Tang, Hui and Jia, Kui and Tan, Mingkui},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={5031--5040},
year={2019}
}
@article{zhang2020unsupervised,
title={Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice},
author={Zhang, Yabin and Deng, Bin and Tang, Hui and Zhang, Lei and Jia, Kui},
journal={arXiv preprint arXiv:2002.08681},
year={2020}
}
Contact
If you have any problem about our code, feel free to contact
or describe your problem in Issues.