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Exploring Probabilistic Modeling Beyond Domain Generalization for Semantic Segmentation

Official repository for Exploring Probabilistic Modeling Beyond Domain Generalization for Semantic Segmentation

Project Page | Paper | Video | Code

Updates

  • June 2025: ✨ PDAF was accepted into ICCV 2025!

Inference

Please prepare the dataset by referencing RobustNet and set dataset_root in config.py. Download checkpoints from Google drive and unzip it in folder checkpoints.

checkpoints/
├── best-dcm-bdd100k.pt
├── best-dpe-bdd100k.pt
├── best-lpe-bdd100k.pt
└── deeplab_res50.yaml

Run following command:

bash demo.sh

License

This project is based on RobustNet (https://github.com/shachoi/RobustNet), developed by Sungha Choi and licensed under the BSD 3-Clause License.

Modifications have been made by pdaf-iccv in 2025.

This project retains the original BSD 3-Clause License terms.

Reference

If you find this work useful, please consider citing us!

@article{chen2025exploring,
  title={Exploring Probabilistic Modeling Beyond Domain Generalization for Semantic Segmentation},
  author={Chen, I and Chang, Hua-En and Chen, Wei-Ting and Hwang, Jenq-Neng and Kuo, Sy-Yen and others},
  journal={arXiv preprint arXiv:2507.21367},
  year={2025}
}

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