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Sparse 3D convolutional neural networks
May 12, 2015 · Declared Dead · 🏛 British Machine Vision Conference
"No code URL or promise found in abstract"
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Authors
Ben Graham
arXiv ID
1505.02890
Category
cs.CV: Computer Vision
Citations
219
Venue
British Machine Vision Conference
Last Checked
1 month ago
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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