Code release for Learning to Transfer Examples for Partial Domain Adaptation (CVPR 2019)

• python 3.6+
• PyTorch 1.0

pip install -r requirements.txt

• download datasets

• write your config file

• python main.py --config /path/to/your/config/yaml/file

• train (configurations in officehome-train-config.yaml are only for officehome dataset):

  python main.py --config officehome-train-config.yaml

• test

  python main.py --config officehome-test-config.yaml

• monitor (tensorboard required)

  tensorboard --logdir .

We provide the checkpoints for officehome datasets at Google Drive.

please cite:

@InProceedings{ETN_2019_CVPR,
author = {Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang},
title = {Learning to Transfer Examples for Partial Domain Adaptation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}

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