Sparse 3D convolutional neural networks

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Conference object 01 Jan 2015Embargo end date: 01 Jan 2015Publisher:British Machine Vision AssociationJournal:Procedings of the British Machine Vision Conference 2015

Authors: Ben Graham;

doi: 10.5244/c.29.150 , 10.48550/arxiv.1505.02890

arXiv: 1505.02890

Sparse 3D convolutional neural networks

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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.

BMVC 2015

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Keywords

FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

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