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    Computer vision & multimodal· 2020

    Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

    Mathilde Caron (first author) · 2020

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    arXiv 2006.09882OpenAlex W3036224891

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    Why it matters

    SwAV introduced swapped cluster prediction and multi-crop augmentation for efficient visual SSL.

    Condensed from the expert lists' notes.

    The record

    First released
    2020 (from arXiv 2006.09882)
    Citations
    5,285 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.378 · computed rank 406 · consensus 0.57, must-read 0, citations percentile 0.593 (2020s · 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.