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Cosmic Ray rejection with attention augmented deep learning

For any queries, please contact at [email protected]

This work has been accepted to the Elsevier Journal of Astronomy and Computing, 2022 https://www.sciencedirect.com/science/article/abs/pii/S2213133722000488.

For more details on code and trained models, please visit our LFOVIA lab webpage here [https://github.com/lfovia/Attention-Augmented-Cosmic-Ray-Detection-in-Astronomical-Images](url).

Citation

If you find this project useful, please consider the following citation:

@article{bhavanam2022cosmic, title={Cosmic Ray rejection with attention augmented deep learning}, author={Bhavanam, Srinadh Reddy and Channappayya, Sumohana S and Srijith, PK and Desai, Shantanu}, journal={Astronomy and Computing}, volume={40}, pages={100625}, year={2022}, publisher={Elsevier} }

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Study of UNet models for Cosmic Ray Segmentation in Astronomical Images

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