Multiple-choice Visual Question Answering
Multiple-Choice Visual Question Answering is a Visual Question Answering task in which a model selects the correct answer to a question about an image from a predefined set of candidate options.
26
Publications
9.3K
Citations
100
Authors
54
Institutions
Publications per year
2017–2026
13
Variants
Mc-vqa
Parents
26
VQA: Visual Question Answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu et al. · 2015 · 4.3K citations
Flamingo: a Visual Language Model for Few-Shot Learning
arXiv (Cornell University) · 2022 · 1.2K citations · Full text
VQA: Visual Question Answering
Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol et al. · arXiv (Cornell University) · 2015 · 1.1K citations · Full text
Visual7W: Grounded Question Answering in Images
Yuke Zhu, Oliver Groth, Michael S. Bernstein et al. · 2016 · 799 citations
VQA: Visual Question Answering
Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol et al. · International Journal of Computer Vision · 2016 · 589 citations
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100
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54
Stanford University
Stanford, United States
2 h-index
6 publications
2.5K citations
Virginia Tech
Blacksburg, United States
2 h-index
8 publications
23.2K citations
Meta (United States)
Menlo Park, United States
2 h-index
2 publications
4.9K citations
Menlo School
Atherton, United States
2 h-index
2 publications
4.9K citations
Microsoft (United States)
Redmond, United States
2 h-index
2 publications
4.9K citations
Laboratoire d'Informatique de Paris-Nord
Villetaneuse, France
2 h-index
5 publications
979 citations
New York University
New York, United States
2 h-index
4 publications
194 citations
Technische Universität Dresden
Dresden, Germany
2 h-index
2 publications
844 citations
1–8 of 54
Repository · 6 publications · 2.5K citations
6
h-index
2 publications · 50 citations
2
h-index
1 publications · 275 citations
1
h-index
1 publications · 113 citations
1
h-index
JVIB · 1 publications · 20 citations
1
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1–5