Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Classification of Point Cloud Scenes with Multiscale Voxel Deep Network   In this article we describe a new convolutional neural network (CNN) to
classify 3D point clouds of urban or indoor scenes. Solutions are given to the
problems encountered working on scene point clouds, and a network is described
that allows for point classification using only the position of points in a
multi-scale neighborhood.
  On the reduced-8 Semantic3D benchmark [Hackel et al., 2017], this network,
ranked second, beats the state of the art of point classification methods
(those not using a regularization step).

34
The categories of this paper are: chem-ph
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The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
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The categories of this paper are: supr-con
9
The categories of this paper are: nlin
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The categories of this paper are: mtrl-th
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The categories of this paper are: solv-int
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The categories of this paper are: bayes-an
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The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat