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Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"

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Domain Generalization via Rationale Invariance (ICCV'23)

Official PyTorch implementation of Domain Generalization via Rationale Invariance.

Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, 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

The main implementation of this work is at domainbed.algorithms.RIDG

Citation

@inproceedings{chen2023domain,
  title={Domain Generalization via Rationale Invariance},
  author={Chen, Liang and Zhang, Yong and Song, Yibing and Hengel, Anton van den and Liu, Lingqiao},
  booktitle={ICCV},
  year={2023}
}

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

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Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"

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