Awesome

Improved Test-Time Adaptation for Domain Generalization (CVPR'23)

Official PyTorch implementation of Improved Test-Time Adaptation for Domain Generalization.

Liang Chen, Yong Zhang, Yibing Song, Ying Shan, and Lingqiao Liu

Preparation

Dependencies

pip install -r requirements.txt

Datasets

python -m domainbed.scripts.download --data_dir=/my/datasets/path

Environments

Environment details used for the main experiments. Every main experiment is conducted on a single NVIDIA V100 GPU.

Environment:
	Python: 3.7.7
	PyTorch: 1.7.1
	Torchvision: 0.8.2
	CUDA: 10.1
	CUDNN: 7603
	NumPy: 1.21.4
	PIL: 7.2.0

How to run, and collect results

Please refer to details in the original project page: Domainbed

Citation

@inproceedings{chen2023improved,
  title={Improved Test-Time Adaptation for Domain Generalization},
  author={Chen, Liang and Zhang, Yong and Song, Yibing and Shan, Ying and Liu, Lingqiao},
  booktitle={CVPR},
  year={2023}
}

Please contact me via email (liangchen527@gmail.com) if your have any questions regarding this project.