Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AutoSourceID-Light. Fast Optical Source Localization via U-Net and
  Laplacian of Gaussian   $\textbf{Aims}$. With the ever-increasing survey speed of optical wide-field
telescopes and the importance of discovering transients when they are still
young, rapid and reliable source localization is paramount. We present
AutoSourceID-Light (ASID-L), an innovative framework that uses computer vision
techniques that can naturally deal with large amounts of data and rapidly
localize sources in optical images. $\textbf{Methods}$. We show that the
AutoSourceID-Light algorithm based on U-shaped networks and enhanced with a
Laplacian of Gaussian filter (Chen et al. 1987) enables outstanding
performances in the localization of sources. A U-Net (Ronneberger et al. 2015)
network discerns the sources in the images from many different artifacts and
passes the result to a Laplacian of Gaussian filter that then estimates the
exact location. $\textbf{Results}$. Application on optical images of the
MeerLICHT telescope demonstrates the great speed and localization power of the
method. We compare the results with the widely used SExtractor (Bertin &
Arnouts 1996) and show the out-performances of our method. AutoSourceID-Light
rapidly detects more sources not only in low and mid crowded fields, but
particularly in areas with more than 150 sources per square arcminute.

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The categories of this paper are: q-bio
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The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
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The categories of this paper are: q-fin
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The categories of this paper are: q-alg
2
The categories of this paper are: math
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The categories of this paper are: nucl-th
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The categories of this paper are: stat
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The categories of this paper are: cs
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The categories of this paper are: funct-an
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The categories of this paper are: econ
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The categories of this paper are: chao-dyn
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The categories of this paper are: cmp-lg
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The categories of this paper are: quant-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: physics