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    Computer vision & multimodal· 2015

    VQA: Visual Question Answering

    Stanislaw Antol (first author) · 2015

    Read the original

    arXiv 1505.00468OpenAlex W1933349210

    On the reading lists

    Why it matters

    Established visual question answering as a central multimodal reasoning task and benchmark.

    Condensed from the expert lists' notes.

    The record

    First released
    2015 (from arXiv 1505.00468)
    Citations
    6,770 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.617 · computed rank 134 · consensus 0.91, must-read 1, citations percentile 0.553 (2010s · vision), awards 0, existing lists 0.5. Method

    Editor's notes

    • Readability check: fail: A dataset and benchmark paper. (AI draft (Claude), not yet reviewed, 2026-10-29)

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.