This repo implements two algoritms.
- The imbalance clibration (IC) algorithm for image classification. Please go to the classification folder for IC.
- 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.
- This work was supported by ONR grant N00014-18-1-2829.
- Posterior Re-calibration for Imbalanced Datasets
- UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation
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}
}