Xnet

This is a implement example of Xnet. We take the transfer between Mnist and Mnist-M as an example.

The final results of classification accuracy would be 0.892 after 10k epochs, 0.910 after 40k epochs(Domain accuracy: 0.569), 0.963 after around 0.6m epochs(Domain accuracy: 0.547). Different times of implementations might result in trivial different accuracies. If you want to stablize the result, add seed in your forked repo.

Run Training

python train.py

See logs

tensorboard --logdir=log

data benchmark

Here we put all the Mnist and Mnist-M data in this repo. Just download the whole repo and run.

All the six data benchmarks we collected and preprocessed can be found in https://github.com/ubcsip/research-datasets.

Environment

All code was tested on Ubuntu 16.04 with Python 2.7. You also need the following package: tensorflow cv2 python-box ruamel.yaml

More further optimized code will be uploaded soon.