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    Computer vision & multimodal· 2019

    Momentum Contrast for Unsupervised Visual Representation Learning

    Kaiming He (first author) · 2019 · published 2020

    Read the original

    DOI 10.1109/cvpr42600.2020.00975arXiv 1911.05722OpenAlex W3035524453

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    Why it matters

    MoCo introduced momentum encoders and queues for scalable contrastive representation learning.

    Condensed from the expert lists' notes.

    The record

    First released
    2019 (from arXiv 1911.05722)
    Published
    2020
    Citations
    15,960 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.589 · computed rank 161 · consensus 0.89, must-read 0.5, citations percentile 0.776 (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.