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    Computer vision & multimodal· 2014

    Microsoft COCO: Common Objects in Context

    Tsung-Yi Lin (first author) · 2014

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    arXiv 1405.0312OpenAlex W1861492603

    On the reading lists

    Why it matters

    Established the standard benchmark for object detection, instance segmentation, and contextual scene understanding.

    Condensed from the expert lists' notes.

    The record

    First released
    2014 (from arXiv 1405.0312)
    Citations
    56,284 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Awards
    ECCV Koenderink Prize
    Named by
    both expert lists
    Score
    0.714 · computed rank 55 · consensus 0.63, must-read 0.5, citations percentile 0.929 (2010s · vision), awards 1, existing lists 0. Method

    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.