Cited by 570Multimodal Machine Learning ApplicationsVisual Attention and Saliency DetectionAdvanced Neural Network Applications

VQA: Visual Question Answering: www.visualqa.org

Agrawal, Aishwarya, Lu, Jiasen, Antol, Stanislaw, Mitchell, Margaret, Zitnick, C. Lawrence, Parikh, Devi, Batra, Dhruv·2017·International Journal of Computer Vision

Integrity signals

Registry

Crossref · 10.1007/s11263-016-0966-6

Cites

57 of 57 references verified0 citation errors · 0 not checkable

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Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Authors
Agrawal, A., Lu, J., Antol, S., Mitchell, M., Zitnick, C. L., Parikh, D., & Batra, D.
Affiliations
  • Virginia Tech (US)
  • Microsoft (United States) (US)
  • Meta (United States) (US)
  • Georgia Institute of Technology (US)
Corresponding author
Agrawal, Aishwarya
Venue
International Journal of Computer Vision
Published
2016-11-08
Volume
123
Issue
1
Pages
4-31
ISSN
  • 0920-5691 (ISSN-L)
  • 1573-1405
OpenAlex
W2563399268
Cited by
570
References
57
Citations by year
2026: 18 · 2025: 39 · 2024: 54 · 2023: 44 · 2022: 101 · 2021: 68 · 2020: 86 · 2019: 74 · 2018: 65 · 2017: 17 · 2016: 4
FWCI
36.23
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Computer Vision (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
Keywords
visual question answering, open-ended question answering, image-text understanding, visual reasoning, automated assessment, image captioning

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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