Large Scale Study of Binary Galaxy Image Classification and the Impact of Image Augmentation Techniques
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36808-0_27
Reference16 articles.
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4. Cavanagh, M.K., Bekki, K., Groves, B.A.: Morphological classification of galaxies with deep learning: comparing 3-way and 4-way CNNs. Mon. Not. R. Astron. Soc. 506(1), 659–676 (2021). https://doi.org/10.1093/mnras/stab1552
5. Cheng, T.Y., et al.: Optimizing automatic morphological classification of galaxies with machine learning and deep learning using Dark Energy Survey imaging. Mon. Not. R. Astron. Soc. 493, 4209–4228 (2020). https://doi.org/10.1093/mnras/staa501
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