Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Secrets in Computing Optical Flow by Convolutional Networks   Convolutional neural networks (CNNs) have been widely used over many areas in
compute vision. Especially in classification. Recently, FlowNet and several
works on opti- cal estimation using CNNs shows the potential ability of CNNs in
doing per-pixel regression. We proposed several CNNs network architectures that
can estimate optical flow, and fully unveiled the intrinsic different between
these structures.

37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
19
The categories of this paper are: eess
11
The categories of this paper are: hep-lat