Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors

14 Jan 2020Lulu TangKe ChenChaozheng WuYu HongKui JiaZhixin Yang

Existing deep learning algorithms for point cloud analysis mainly concern discovering semantic patterns from global configuration of local geometries in a supervised learning manner. However, very few explore geometric properties revealing local surface manifolds embedded in 3D Euclidean space to discriminate semantic classes or object parts as additional supervision signals... (read more)

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