Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth
  Prediction   This paper presents StereoNet, the first end-to-end deep architecture for
real-time stereo matching that runs at 60 fps on an NVidia Titan X, producing
high-quality, edge-preserved, quantization-free disparity maps. A key insight
of this paper is that the network achieves a sub-pixel matching precision than
is a magnitude higher than those of traditional stereo matching approaches.
This allows us to achieve real-time performance by using a very low resolution
cost volume that encodes all the information needed to achieve high disparity
precision. Spatial precision is achieved by employing a learned edge-aware
upsampling function. Our model uses a Siamese network to extract features from
the left and right image. A first estimate of the disparity is computed in a
very low resolution cost volume, then hierarchically the model re-introduces
high-frequency details through a learned upsampling function that uses compact
pixel-to-pixel refinement networks. Leveraging color input as a guide, this
function is capable of producing high-quality edge-aware output. We achieve
compelling results on multiple benchmarks, showing how the proposed method
offers extreme flexibility at an acceptable computational budget.

37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
6
The categories of this paper are: astro-ph