Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hierarchical semantic segmentation using modular convolutional neural
  networks   Image recognition tasks that involve identifying parts of an object or the
contents of a vessel can be viewed as a hierarchical problem, which can be
solved by initial recognition of the main object, followed by recognition of
its parts or contents. To achieve such modular recognition, it is necessary to
use the output of one recognition method (which identifies the general object)
as the input for a second method (which identifies the parts or contents). In
recent years, convolutional neural networks have emerged as the dominant method
for segmentation and classification of images. This work examines a method for
serially connecting convolutional neural networks for semantic segmentation of
materials inside transparent vessels. It applies one fully convolutional neural
net to segment the image into vessel and background, and the vessel region is
used as an input for a second net which recognizes the contents of the glass
vessel. Transferring the segmentation map generated by the first nets to the
second net was performed using the valve filter attention method that involves
using different filters on different segments of the image. This modular
semantic segmentation method outperforms a single step method in which both the
vessel and its contents are identified using a single net. An advantage of the
modular neural net is that it allows networks to be built from existing trained
modules, as well the transfer and reuse of trained net modules without the need
for any retraining of the assembled net.

14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
16
The categories of this paper are: stat
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
10
The categories of this paper are: q-bio