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SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds

By Qingyong Hu and others
Labelling point clouds fully is highly time-consuming and costly. As larger point cloud datasets with billions of points become more common, we ask whether the full annotation is even necessary, demonstrating that existing baselines designed under a fully annotated assumption only degrade slightly even when faced with 1% random point... Show more
March 23, 2022
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SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
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