Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Recent, rapid advancement in visual question answering architecture: a
  review   Understanding visual question answering is going to be crucial for numerous
human activities. However, it presents major challenges at the heart of the
artificial intelligence endeavor. This paper presents an update on the rapid
advancements in visual question answering using images that have occurred in
the last couple of years. Tremendous growth in research on improving visual
question answering system architecture has been published recently, showing the
importance of multimodal architectures. Several points on the benefits of
visual question answering are mentioned in the review paper by Manmadhan et al.
(2020), on which the present article builds, including subsequent updates in
the field.

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The categories of this paper are: ao-sci
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The categories of this paper are: adap-org
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The categories of this paper are: q-bio
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The categories of this paper are: dg-ga
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The categories of this paper are: stat
2
The categories of this paper are: math
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The categories of this paper are: atom-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: patt-sol
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The categories of this paper are: q-fin
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The categories of this paper are: astro-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: physics
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-lat
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The categories of this paper are: comp-gas