Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bias in Automated Image Colorization: Metrics and Error Types   We measure the color shifts present in colorized images from the ADE20K
dataset, when colorized by the automatic GAN-based DeOldify model. We introduce
fine-grained local and regional bias measurements between the original and the
colorized images, and observe many colorization effects. We confirm a general
desaturation effect, and also provide novel observations: a shift towards the
training average, a pervasive blue shift, different color shifts among image
categories, and a manual categorization of colorization errors in three
classes.

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The categories of this paper are: econ
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The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
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The categories of this paper are: mtrl-th
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-th
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The categories of this paper are: dg-ga
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The categories of this paper are: nlin
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The categories of this paper are: bayes-an
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The categories of this paper are: funct-an
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The categories of this paper are: stat
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The categories of this paper are: eess
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The categories of this paper are: acc-phys
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The categories of this paper are: cmp-lg
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The categories of this paper are: math-ph