For Unsupervised Domain Adaptation: A Game Perspective

• Download swin_base_patch4_window7_224_22k.pth and put it into pretrained_models

• Create a conda virtual environment and activate it:

conda env create -f environment.yml

• Install Apex:

git clone https://github.com/ptrblck/apex
cd apex
pip install -v --disable-pip-version-check --no-cache-dir ./

• Download the Office31, Office Home, VisDA and Domainnet Make a file recording the path and label of image like txt files in datasets/office_home/

 $ tree data
 datasets
 ├── ofice_home
 │   ├── Art.txt
 │   ├── Clipart.txt
 │   ├── Product.txt
 │   ├── Real_World.txt
 └── ...

https://github.com/jindongwang/transferlearning/blob/master/data/dataset.md

bash dist_train.sh