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    Computer vision & multimodal· 2019

    EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

    Mingxing Tan (first author) · 2019

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    arXiv 1905.11946OpenAlex W2946948417

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    Why it matters

    Established compound scaling across model depth, width, and resolution for improved efficiency.

    Condensed from the expert lists' notes.

    The record

    First released
    2019 (from arXiv 1905.11946)
    Citations
    26,868 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Also relevant to
    Deep learning
    Score
    0.434 · computed rank 314 · consensus 0.39, must-read 0, citations percentile 0.906 (2010s · vision), awards 0, 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.