Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: LSHR-Net: a hardware-friendly solution for high-resolution computational
  imaging using a mixed-weights neural network   Recent work showed neural-network-based approaches to reconstructing images
from compressively sensed measurements offer significant improvements in
accuracy and signal compression. Such methods can dramatically boost the
capability of computational imaging hardware. However, to date, there have been
two major drawbacks: (1) the high-precision real-valued sensing patterns
proposed in the majority of existing works can prove problematic when used with
computational imaging hardware such as a digital micromirror sampling device
and (2) the network structures for image reconstruction involve intensive
computation, which is also not suitable for hardware deployment. To address
these problems, we propose a novel hardware-friendly solution based on
mixed-weights neural networks for computational imaging. In particular, learned
binary-weight sensing patterns are tailored to the sampling device. Moreover,
we proposed a recursive network structure for low-resolution image sampling and
high-resolution reconstruction scheme. It reduces both the required number of
measurements and reconstruction computation by operating convolution on small
intermediate feature maps. The recursive structure further reduced the model
size, making the network more computationally efficient when deployed with the
hardware. Our method has been validated on benchmark datasets and achieved the
state of the art reconstruction accuracy. We tested our proposed network in
conjunction with a proof-of-concept hardware setup.

26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat