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MetFA

Code for paper ''Unsupervised Cross-domain Image Classificationby Distance Metric Guided Feature Alignment''

If you make use of the code, please cite the paper in any resulting publications.

@inproceedings{mengMetFA,
  title={Unsupervised Cross-domain Image Classificationby Distance Metric Guided Feature Alignment},
  author={Meng, Qingjie and Rueckert, Daniel and Kainz, Bernhard},
  booktitle = {Advances in Simplifying Medical UltraSound (MICCAI ASMUS workshop)},
  year={2020}
}

This code (residual_modef.py) uses the residual unit from toolkit DLTK (https://dltk.github.io/). Please install the DLTK before using residual_modef.py

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Code for paper ''Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment''

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