Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DesnowNet: Context-Aware Deep Network for Snow Removal   Existing learning-based atmospheric particle-removal approaches such as those
used for rainy and hazy images are designed with strong assumptions regarding
spatial frequency, trajectory, and translucency. However, the removal of snow
particles is more complicated because it possess the additional attributes of
particle size and shape, and these attributes may vary within a single image.
Currently, hand-crafted features are still the mainstream for snow removal,
making significant generalization difficult to achieve. In response, we have
designed a multistage network codenamed DesnowNet to in turn deal with the
removal of translucent and opaque snow particles. We also differentiate snow
into attributes of translucency and chromatic aberration for accurate
estimation. Moreover, our approach individually estimates residual complements
of the snow-free images to recover details obscured by opaque snow.
Additionally, a multi-scale design is utilized throughout the entire network to
model the diversity of snow. As demonstrated in experimental results, our
approach outperforms state-of-the-art learning-based atmospheric phenomena
removal methods and one semantic segmentation baseline on the proposed Snow100K
dataset in both qualitative and quantitative comparisons. The results indicate
our network would benefit applications involving computer vision and graphics.

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The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin
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The categories of this paper are: q-bio
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The categories of this paper are: eess
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The categories of this paper are: hep-th
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The categories of this paper are: cmp-lg
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The categories of this paper are: solv-int
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The categories of this paper are: funct-an
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The categories of this paper are: math-ph
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The categories of this paper are: chao-dyn