Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fast and Accurate Image Super Resolution by Deep CNN with Skip
  Connection and Network in Network   We propose a highly efficient and faster Single Image Super-Resolution (SISR)
model with Deep Convolutional neural networks (Deep CNN). Deep CNN have
recently shown that they have a significant reconstruction performance on
single-image super-resolution. Current trend is using deeper CNN layers to
improve performance. However, deep models demand larger computation resources
and is not suitable for network edge devices like mobile, tablet and IoT
devices. Our model achieves state of the art reconstruction performance with at
least 10 times lower calculation cost by Deep CNN with Residual Net, Skip
Connection and Network in Network (DCSCN). A combination of Deep CNNs and Skip
connection layers is used as a feature extractor for image features on both
local and global area. Parallelized 1x1 CNNs, like the one called Network in
Network, is also used for image reconstruction. That structure reduces the
dimensions of the previous layer's output for faster computation with less
information loss, and make it possible to process original images directly.
Also we optimize the number of layers and filters of each CNN to significantly
reduce the calculation cost. Thus, the proposed algorithm not only achieves the
state of the art performance but also achieves faster and efficient
computation. Code is available at
https://github.com/jiny2001/dcscn-super-resolution

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The categories of this paper are: atom-ph
23
The categories of this paper are: solv-int
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
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The categories of this paper are: q-fin
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The categories of this paper are: stat
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom