Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application
  to Face Recognition   Systems that analyse faces have seen significant improvements in recent years
and are today used in numerous application scenarios. However, these systems
have been found to be negatively affected by facial alterations such as
tattoos. To better understand and mitigate the effect of facial tattoos in
facial analysis systems, large datasets of images of individuals with and
without tattoos are needed. To this end, we propose a generator for
automatically adding realistic tattoos to facial images. Moreover, we
demonstrate the feasibility of the generation by training a deep learning-based
model for removing tattoos from face images. The experimental results show that
it is possible to remove facial tattoos from real images without degrading the
quality of the image. Additionally, we show that it is possible to improve face
recognition accuracy by using the proposed deep learning-based tattoo removal
before extracting and comparing facial features.

3
The categories of this paper are: physics
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph