Awesome
Learning to Transfer Examples for Partial Domain Adaptation
Code release for Learning to Transfer Examples for Partial Domain Adaptation (CVPR 2019)
Requirements
- python 3.6+
- PyTorch 1.0
pip install -r requirements.txt
Usage
-
download datasets
-
write your config file
-
python main.py --config /path/to/your/config/yaml/file -
train (configurations in
officehome-train-config.yamlare 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 .
Checkpoints
We provide the checkpoints for officehome datasets at Google Drive.
Citation
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}
}