Skip to content

Official implementaion of the pape: "A Causal Inspired Early-Branching Structure for Domain Generalization".

Notifications You must be signed in to change notification settings

liangchen527/CausEB

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 

Repository files navigation

CausEB

Official implementation of the IJCV paper: "A Causal Inspired Early-Branching Structure for Domain Generalization".

Liang Chen, Yong Zhang, Yibing Song, Zhen Zhang, 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

@article{chen2024causal,
  title={A Causal Inspired Early-Branching Structure for Domain Generalization},
  author={Chen, Liang and Zhang, Yong and Song, Yibing and Zhang, Zhen and Liu, Lingqiao},
  journal={International Journal of Computer Vision},
  pages={1--21},
  year={2024},
  publisher={Springer}
}

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

About

Official implementaion of the pape: "A Causal Inspired Early-Branching Structure for Domain Generalization".

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages