lilujunai / XDED

Official PyTorch implementation of "Cross-Domain Ensemble Distillation for Domain Generalization" (ECCV 2022)

Cross-Domain Ensemble Distillation for Domain Generalization (ECCV 2022)

Official PyTorch implementation of "Cross-Domain Ensemble Distillation for Domain Generalization" (ECCV 2022)

For more information, please checkout our website and paper.

Get started

Prepare environment

conda env create --file environment.yaml
conda activate xded

Quick start

python pacs_cartoon_train.py  --gpu-id 0 --IPC 16 \
--dataset-config-file configs/datasets/domain_ipc_pacs.yaml \
--config-file configs/xded_default.yaml \
--trainer XDED --remark XDED_UniStyle12 \
MODEL.BACKBONE.NAME resnet18_UniStyle_12

Acknowledgements

Our code is based on Dassl.pytorch. We thank Kaiyang Zhou for this great repository.

Citation

In case of using this source code for your research, please cite our paper.

@inproceedings{lee2022cross,
  title={Cross-Domain Ensemble Distillation for Domain Generalization},
  author={Lee, Kyungmoon and Kim, Sungyeon and Kwak, Suha},
  booktitle={Proceedings of European Conference on Computer Vision (ECCV)},
  year={2022}
}