Sparse 3D convolutional neural networks

Ben Graham
5/12/2015
cs.CV

Official code: btgraham/SparseConvNet (30 stars, last commit 2025-01-30).

Abstract

We have implemented a convolutional neural network designed for processing sparse three-dimensional input data. The world we live in is three dimensional so there are a large number of potential applications including 3D object recognition and analysis of space-time objects. In the quest for efficiency, we experiment with CNNs on the 2D triangular-lattice and 3D tetrahedral-lattice.

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btgraham/SparseConvNetOfficial100%

Submanifold sparse convolutional networks

3010C++, CudaMar 12, 20211 years agoNOASSERTION

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Cite this paper

@article{graham2015sparse,
  title  = {Sparse 3D convolutional neural networks},
  author = {Ben Graham},
  year   = {2015},
  eprint = {1505.02890},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1505.02890}
}

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