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Maxime Paillassa

1 paper hereh-index 117 citations4 works total

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  • astro-ph.IM1

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most citedMaxiMask and MaxiTrack: two new tools for identifying contaminants in astronomical images using convolutional neural networks

35 citations · 35 across the 1 of their papers we have counts for

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astro-ph.IM2019★ 35 cited

MaxiMask and MaxiTrack: two new tools for identifying contaminants in astronomical images using convolutional neural networks

Maxime Paillassa, Emmanuel Bertin, Hervé Bouy

In this work, we propose two convolutional neural network classifiers for detecting contaminants in astronomical images. Once trained, our classifiers are able to identify various…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.