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 ([email protected])

Requirements

• Python 2.7
• Tensorflow-1.0.1
• Keras-2.0.0
• 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