Open Compound Domain Adaptation (OCDA)
is the author's re-implementation of the compound domain adaptator described in:
"Open Compound Domain Adaptation"
Ziwei Liu*, Zhongqi Miao*, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong (CUHK & Berkeley & Google)
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020, Oral Presentation
Further information please contact Zhongqi Miao and Ziwei Liu.
- PyTorch (version >= 0.4.1)
- scikit-learn
Source | MNIST (C) | MNIST-M (C) | USPS (C) | SymNum (O) | Avg. Acc | Download |
---|---|---|---|---|---|---|
SVHN | model |
Source | C08 (C) | C09 (C) | C13 (C) | C14 (C) | C19 (O) | Avg. Acc | Download |
---|---|---|---|---|---|---|---|
C05 | model |
The use of this software is released under BSD-3.
@inproceedings{compounddomainadaptation,
title={Open Compound Domain Adaptation},
author={Liu, Ziwei and Miao, Zhongqi and Pan, Xingang and Zhan, Xiaohang and Lin, Dahua and Yu, Stella X. and Gong, Boqing},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2020}
}