Awesome
iCAN (incremental CAN)
Collaborative and Adversarial Network for Unsupervised domain adaptation (CVPR 2018 Spotlight)
Paper: http://openaccess.thecvf.com/content_cvpr_2018/CameraReady/1410.pdf
The code is written with Pytorch 0.2.0. The code with higher version is also available. (e.g. pytorch 0.4.0 for a2w_v2.py and ican_v2.py).
Please Cite:
@inproceedings{zhang2018collaborative,
title={Collaborative and Adversarial Network for Unsupervised domain adaptation},
author={Zhang, Weichen and Ouyang, Wanli and Li, Wen and Xu, Dong},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={3801-3809},
year={2018}
}
We also have a T-PAMI Journal Extension version for CAN which is called Self-Paced Collaborative and Adversarial Network.
Please refer to the following repo for more details.