Galaxy Morphological Classification of the Legacy Surveys with Deformable Convolutional Neural Networks
The ongoing and forthcoming surveys will result in an unprecedented increase in the number of observed galaxies. As a result, data-driven techniques are now the primary methods for analyzing and interpreting this vast amount of information. While deep learning using computer vision has been the most...
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| Auteurs principaux: | , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IOP Publishing
2023-01-01
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| Collection: | The Astronomical Journal |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.3847/1538-3881/ad10ab |
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