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Imbalaced Classification and Robust Semantic Segmentation

License: MIT

This repo implements two algoritms.

  1. The imbalance clibration (IC) algorithm for image classification. Please go to the classification folder for IC.
  2. The uncertainty-aware noisy-or multi-modal fusion and imbalance calibration (UNO-IC) algorithm for semantic segmentation, UNO-IC. Please go to the segmentation folder for UNO-IC.

Acknowledgments

  • This work was supported by ONR grant N00014-18-1-2829.

Paper

  1. Posterior Re-calibration for Imbalanced Datasets
  2. UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation

Citation

If you find this repository useful, please cite our paper(s):


@inproceedings{tian2020posterior,
    title={Posterior Re-calibration for Imbalanced Datasets},
    author={Junjiao Tian, Yen-Cheng Liu,  Nathaniel Glaser, Yen-Chang Hsu, and Zsolt Kira},
    booktitle={Proceedings of the 34th Conference on Neural Information Processing Systems},
    year={2020}
}
@inproceedings{tian2019uno,
    title={UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation},
    author={Junjiao Tian, Wesley Cheung,  Nathaniel Glaser, Yen-Cheng Liu, and Zsolt Kira},
    booktitle={Proceedings of the  IEEE International Conference on Robotics and Automation (ICRA)},
    year={2020}
}