Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Euler angles based loss function for camera relocalization with Deep
  learning   Deep learning has been applied to camera relocalization, in particular,
PoseNet and its extended work are the convolutional neural networks which
regress the camera pose from a single image. However there are many problems,
one of them is expensive parameter selection. In this paper, we directly
explore the three Euler angles as the orientation representation in the camera
pose regressor. There is no need to select the parameter, which is not tolerant
in the previous works. Experimental results on the 7 Scenes datasets and the
King's College dataset demonstrate that it has competitive performances.

28
The categories of this paper are: alg-geom
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The categories of this paper are: funct-an
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
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The categories of this paper are: supr-con
18
The categories of this paper are: econ
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The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga