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Analyzing Spatially-Sparse Data Based on Submanifold Sparse Convolutional Neural Networks
Analyzing Spatially-Sparse Data Based on Submanifold Sparse Convolutional Neural Networks
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机译：基于子流形稀疏卷积神经网络的空间稀疏数据分析
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摘要
In one embodiment, a method includes accessing a plurality of content objects, generating a plurality of voxelized representations for the plurality of content objects, respectively, generating one or more building blocks based on one or more sparse convolutions, which includes determining one or more active sites for each of the plurality of content objects based on the voxelized representation of each of the plurality of content objects and applying the one or more sparse convolutions to the one or more active sites, and training a machine-learning model based on a convolutional network including the one or more building blocks.
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