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Code for IJCV-From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization

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From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization

This repository contains the code for the paper "From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization".

💥 Repository Status

Note: The paper has just been accepted by IJCV and waiting for final check and publishment. A complete version is expected in early Jan, 2026.

✅ Citation

If you find our work useful in your research, please consider citing:

@article{zhou2026small,
  title={From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization},
  author={Zhou, Guanglin and Han, Zhongyi and Xie, Shaoan and Chen, Shiming and Huang, Biwei and Zhu, Liming and Gao, Xin and Yao, Lina and Khan, Salman},
  journal={International Journal of Computer Vision},
  volume={134},
  number={1},
  pages={9},
  year={2026},
  publisher={Springer}
}

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Code for IJCV-From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization

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