SEMANTIC SEGMENTATION NEURAL NETWORK FOR POINT CLOUDS

    公开(公告)号:US20240096076A1

    公开(公告)日:2024-03-21

    申请号:US17945325

    申请日:2022-09-15

    Applicant: Waymo LLC

    CPC classification number: G06V10/82 G06V10/80

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a semantic segmentation neural network for point clouds. One of the methods includes: obtaining a plurality of training points divided into a respective plurality of components; obtaining, for each of the respective plurality of components, data identifying a ground truth category for one or more labeled point; processing each training points using a semantic segmentation neural network to generate a semantic segmentation that includes a respective score for each of the plurality of categories; determining a gradient of a loss function that penalizes the semantic segmentation neural network for generating, for points in the component, non-zero scores for categories that are not the ground truth category for any labeled point in the component; and updating, using the gradient, the parameters of the semantic segmentation neural network.

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