Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Learning For Computer Vision Tasks: A review   Deep learning has recently become one of the most popular sub-fields of
machine learning owing to its distributed data representation with multiple
levels of abstraction. A diverse range of deep learning algorithms are being
employed to solve conventional artificial intelligence problems. This paper
gives an overview of some of the most widely used deep learning algorithms
applied in the field of computer vision. It first inspects the various
approaches of deep learning algorithms, followed by a description of their
applications in image classification, object identification, image extraction
and semantic segmentation in the presence of noise. The paper concludes with
the discussion of the future scope and challenges for construction and training
of deep neural networks.

10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin