Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: TransNet: A deep network for fast detection of common shot transitions   Shot boundary detection (SBD) is an important first step in many video
processing applications. This paper presents a simple modular convolutional
neural network architecture that achieves state-of-the-art results on the RAI
dataset with well above real-time inference speed even on a single mediocre
GPU. The network employs dilated convolutions and operates just on small
resized frames. The training process employed randomly generated transitions
using selected shots from the TRECVID IACC.3 dataset. The code and a selected
trained network will be available at https://github.com/soCzech/TransNet.

22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th