Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Real-time division-of-focal-plane polarization imaging system with
  progressive networks   Division-of-focal-plane (DoFP) polarization imaging technical recently has
been applied in many fields. However, the images captured by such sensors
cannot be used directly because they suffer from instantaneous field-of-view
errors and low resolution problem. This paper builds a fast DoFP demosaicing
system with proposed progressive polarization demosaicing convolutional neural
network (PPDN), which is specifically designed for edge-side GPU devices like
Navidia Jetson TX2. The proposed network consists of two parts: reconstruction
stage and refining stage. The former recovers four polarization channels from a
single DoFP image. The latter fine-tune the four channels to obtain more
accurate polarization information. PPDN can be implemented in another version:
PPDN-L (large), for the platforms of high computing resources. Experiments show
that PPDN can compete with the best existing methods with fewer parameters and
faster inference speed and meet the real-time demands of imaging system.

18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
22
The categories of this paper are: chao-dyn
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex