torch-uncertainty/SSB_hard

Dataset Description

SSB-Hard is an OOD dataset focusing on semantically similar but distinct categories to ImageNet. This split is derived from the OpenOOD benchmark OOD evaluation splits.

• OpenOOD Benchmark: https://github.com/Jingkang50/OpenOOD/

Citation

@inproceedings{vaze2022openset,
  title={Open-set Recognition: A Good Closed-set Classifier is All You Need?},
  author={Vaze, Siddharth and others},
  booktitle={ICLR},
  year={2022}
}
@inproceedings{yang2022openood,
  title={OpenOOD: Benchmarking Generalized Out-of-Distribution Detection},
  author={Yang, Jingkang and Zhu, Zixuan and Liu, Yiyou and Song, Yiyou and Zhang, Yixuan and Pang, Tianyu and Chen, Shuqi and Wang, Hang and Lin, Min and Su, Hang and Zhu, Jun and Chen, Weiming and Zhang, Zheng},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2022}
}