Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Co-VQA : Answering by Interactive Sub Question Sequence   Most existing approaches to Visual Question Answering (VQA) answer questions
directly, however, people usually decompose a complex question into a sequence
of simple sub questions and finally obtain the answer to the original question
after answering the sub question sequence(SQS). By simulating the process, this
paper proposes a conversation-based VQA (Co-VQA) framework, which consists of
three components: Questioner, Oracle, and Answerer. Questioner raises the sub
questions using an extending HRED model, and Oracle answers them one-by-one. An
Adaptive Chain Visual Reasoning Model (ACVRM) for Answerer is also proposed,
where the question-answer pair is used to update the visual representation
sequentially. To perform supervised learning for each model, we introduce a
well-designed method to build a SQS for each question on VQA 2.0 and VQA-CP v2
datasets. Experimental results show that our method achieves state-of-the-art
on VQA-CP v2. Further analyses show that SQSs help build direct semantic
connections between questions and images, provide question-adaptive
variable-length reasoning chains, and with explicit interpretability as well as
error traceability.

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The categories of this paper are: q-bio
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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: quant-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: alg-geom
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The categories of this paper are: eess
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-th
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The categories of this paper are: ao-sci
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The categories of this paper are: q-fin
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The categories of this paper are: acc-phys
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The categories of this paper are: chao-dyn