Awesome

GVB

Code release for "Gradually Vanishing Bridge for Adversarial Domain Adaptation" (CVPR 2020)

Dataset

Office-31 dataset can be found here.

Office-Home dataset can be found here.

VisDA 2017 dataset can be found here in the classification track.

Requirements

The code is implemented with Python(3.6) and Pytorch(1.0.0).

To install the required python packages, run

pip install -r requirements.txt

Training

Training instructions for GVB-GD and CDAN-GD are in the README.md in GVB-GD and CDAN-GD respectively.

Citation

If you use this code for your research, please consider citing:

@inproceedings{cui2020gvb,
  title={Gradually Vanishing Bridge for Adversarial Domain Adaptation},
  author={Cui, Shuhao and Wang, Shuhui and Zhuo, Junbao and Su, Chi and Huang, Qingming and Tian Qi},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year={2020}
}

Contact

If you have any problem about our code, feel free to contact

• hassassin1621@gmail.com

or describe your problem in Issues.