Imbalaced Classification and Robust Semantic Segmentation

Last update: Jul 23, 2022

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Hardware UNO-IC

Overview

Imbalaced Classification and Robust Semantic Segmentation

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.

Acknowledgments

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

Paper

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}
}

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Comments

Results on ImageNet-LT

Hi, I try to reimplement the method on ImageNet-LT by changing the dataloader, but the results are quite poor (43.4 accuracy for training 90 epochs and 45.5 accuracy for training 200 epochs), while the baseline model is about 45.

Do you have any results on ImageNet-LT? I wonder what's wrong for my implementation.

opened by Vanint 1

Imbalaced Classification and Robust Semantic Segmentation

Related tags

Overview

Imbalaced Classification and Robust Semantic Segmentation

Acknowledgments

Paper

Citation

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Comments

Results on ImageNet-LT

Owner

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