code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
Code for our ECCV (2020) paper A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation.
python run_partial.py --s 0 --t 1 --dset office_home --net ResNet50 --cot_weight 1. --output run1 --gpu_id 0
python run_partial.py --s 0 --t 1 --dset office --net ResNet50 --cot_weight 5. --output run1 --gpu_id 0
python run_partial.py --s 0 --t 1 --dset office --net VGG16 --cot_weight 5. --output run1 --gpu_id 0
python run_partial.py --s 0 --t 1 --dset imagenet_caltech --net ResNet50 --cot_weight 5. --output run1 --gpu_id 0
If you find this code useful for your research, please cite our paper
@inproceedings{liang2020baus,
title={A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation},
author={Liang, Jian, and Wang, Yunbo, and Hu, Dapeng, and He, Ran and Feng, Jiashi},
booktitle={European Conference on Computer Vision (ECCV)},
pages={xx-xx},
month = {August},
year={2020}
}
Some parts of this project are built based on the following open-source implementation