SPLATNet: Sparse Lattice Networks for Point Cloud Processing
We present a network architecture for processing point clouds that directly operates on a collection of points represented as a sparse set of samples in a high-dimensional lattice. Naïvely applying convolutions on this lattice scales poorly, both in terms of memory and computational cost, as the si...
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Published in | 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 2530 - 2539 |
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Main Authors | , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2018
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Subjects | |
Online Access | Get full text |
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