README.md

OuterAdapter

An implementation for "Domain Adaptation with Dynamic Open-Set Targets" (KDD'22) [Paper].

Environment Requirements

The code has been tested under Python 3.6.5. The required packages are as follows:

• numpy==1.18.1
• sklearn==0.22.1
• scikit-image==0.16.2
• torch==1.4.0
• torchvision==0.5.0

Data Sets

We used the following data sets in our experiments:

• Office-Home
• Office-31
• Syn2Real-O

Run the Codes

For dynamic open-set domain adaptation on Office-Home/Office-31/Syn2Real-O, please run

python main.py

Acknowledgement

This is the latest source code of OuterAdapter. If you find that it is helpful for your research, please consider to cite our paper:

@inproceedings{wu2022domain,
  title={Domain Adaptation with Dynamic Open-Set Targets},
  author={Wu, Jun and He, Jingrui},
  booktitle={Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages={2039--2049},
  year={2022}
}