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SRDC-CVPR2020

Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).

The paper is avaliable here.

Requirements

• Python 3.6.3
• Pytorch 1.1.0

Dataset

The structure of the dataset should be like

Office31
|_ amazon
|  |_ back_pack
|     |_ <im-1-name>.jpg
|     |_ ...
|  |_ bike
|     |_ <im-1-name>.jpg
|     |_ ...
|  |_ ... (omit 28 classes)
|  |_ trash_can
|     |_ <im-1-name>.jpg
|     |_ ...
|_ amazon_half
|  |_ back_pack
|     |_ <im-1-name>.jpg
|     |_ ...
|  |_ bike
|     |_ <im-1-name>.jpg
|     |_ ...
|  |_ ... (omit 28 classes)
|  |_ trash_can
|     |_ <im-1-name>.jpg
|     |_ ...
|_ amazon_half2
|  |_ back_pack
|     |_ <im-1-name>.jpg
|     |_ ...
|  |_ bike
|     |_ <im-1-name>.jpg
|     |_ ...
|  |_ ... (omit 28 classes)
|  |_ trash_can
|     |_ <im-1-name>.jpg
|     |_ ...
|_ dslr
|  |_ back_pack
|     |_ <im-1-name>.jpg
|     |_ ...
|  |_ bike
|     |_ <im-1-name>.jpg
|     |_ ...
|  |_ ... (omit 28 classes)
|  |_ trash_can
|     |_ <im-1-name>.jpg
|     |_ ...
|_ ...

Training

Office-31

Replace paths and domains in run_office31.sh with those in your own system.

Citation

@InProceedings{srdc,   
  title={Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering},   
  author={Hui Tang, Ke Chen, and Kui Jia},   
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},   
  year={2020},
}