Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A study on the use of Boundary Equilibrium GAN for Approximate
  Frontalization of Unconstrained Faces to aid in Surveillance   Face frontalization is the process of synthesizing frontal facing views of
faces given its angled poses. We implement a generative adversarial network
(GAN) with spherical linear interpolation (Slerp) for frontalization of
unconstrained facial images. Our special focus is intended towards the
generation of approximate frontal faces of the side posed images captured from
surveillance cameras. Specifically, the present work is a comprehensive study
on the implementation of an auto-encoder based Boundary Equilibrium GAN (BEGAN)
to generate frontal faces using an interpolation of a side view face and its
mirrored view. To increase the quality of the interpolated output we implement
a BEGAN with Slerp. This approach could produce a promising output along with a
faster and more stable training for the model. The BEGAN model additionally has
a balanced generator-discriminator combination, which prevents mode collapse
along with a global convergence measure. It is expected that such an
approximate face generation model would be able to replace face composites used
in surveillance and crime detection.

3
The categories of this paper are: physics
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn