July 2017
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4,487 Reads
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7,511 Citations
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July 2017
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4,487 Reads
·
7,511 Citations
... To fully exploit the characteristics of point clouds, pointbased methods are prevalent in point cloud segmentation. Qi et al. [20] proposed a groundbreaking work, PointNet, which processed unordered point clouds as the input and employed several MLPs for feature extraction. Since PointNet directly uses max-pooling to aggregate all points into a global feature, the local features have been underutilized. ...
July 2017