Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SDC - Stacked Dilated Convolution: A Unified Descriptor Network for
  Dense Matching Tasks   Dense pixel matching is important for many computer vision tasks such as
disparity and flow estimation. We present a robust, unified descriptor network
that considers a large context region with high spatial variance. Our network
has a very large receptive field and avoids striding layers to maintain spatial
resolution. These properties are achieved by creating a novel neural network
layer that consists of multiple, parallel, stacked dilated convolutions (SDC).
Several of these layers are combined to form our SDC descriptor network. In our
experiments, we show that our SDC features outperform state-of-the-art feature
descriptors in terms of accuracy and robustness. In addition, we demonstrate
the superior performance of SDC in state-of-the-art stereo matching, optical
flow and scene flow algorithms on several famous public benchmarks.

8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
13
The categories of this paper are: quant-ph
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph