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Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation (DRCN)

This code is an implementation of the DRCN algorithm presented in [1].

[1] M. Ghifary, W. B. Kleijn, M. Zhang, D. Balduzzi, and W. Li. "Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation (DRCN)", European Conference on Computer Vision (ECCV), 2016

Contact:

Muhammad Ghifary (mghifary@gmail.com)

Requirements

  • Python 2.7
  • Tensorflow-0.10.0
  • Keras-1.2.0
  • numpy
  • h5py

Usage

To run the experiment with the (grayscaled) SVHN dataset as the source domain and the MNIST dataset as the target domain

python main_sm.py

The core algorithm is implemented in drcn.py.

Notes

TO DO

  • Data augmentation and denoising

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