Deep FusionNet for point cloud semantic segmentation

Deep FusionNet for point cloud semantic segmentation

Many point cloud segmentation methods rely on transferring irregular points into a voxel-based regular representation. Although voxel-based convolutions are useful for feature aggregation, they produce ambiguous or wrong predictions if a voxel contains points from different classes. Other approaches...

書誌詳細
主要な著者:	Zhang, F, Fang, J, Wah, B, Torr, PHS
フォーマット:	Conference item
言語:	English
出版事項:	Springer International Publishing 2020

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