Skip to content

hszhoushen/CRL

 
 

Repository files navigation

Class Relevance Learning

Please refer to the OpenOOD ReadMe for the installation of pre-request and dataset for experiments.

Code for running evaluation of CRL

sh scripts/ood/crl/cifar10_test_ood_crl.sh

Citation

If you find our repository useful for your research, please consider citing our paper:

@inproceedings{zhou2025class,
  title={Class Relevance Learning for Out-of-Distribution Detection},
  author={Zhou, Liguang and Xiong, Butian and Lam, Tin Lun and Xu, Yangsheng},
  booktitle={ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={1--5},
  year={2025},
  organization={IEEE}
}

About

Class Relevance Learning

Resources

License

Code of conduct

Contributing

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • Python 59.4%
  • Jupyter Notebook 20.7%
  • Shell 19.9%