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    Computer vision & multimodal· 2016

    PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

    Charles R. Qi (first author) · 2016 · published 2017

    Read the original

    arXiv 1612.00593OpenAlex W2950642167

    On the reading lists

    Why it matters

    Established permutation-invariant deep learning directly on unordered 3D point sets.

    Condensed from the expert lists' notes.

    The record

    First released
    2016 (from arXiv 1612.00593)
    Published
    2017
    Citations
    18,771 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Also relevant to
    Graph learning
    Score
    0.489 · computed rank 241 · consensus 0.57, must-read 0.5, citations percentile 0.765 (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.