Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: NeRD: a Neural Response Divergence Approach to Visual Salience Detection   In this paper, a novel approach to visual salience detection via Neural
Response Divergence (NeRD) is proposed, where synaptic portions of deep neural
networks, previously trained for complex object recognition, are leveraged to
compute low level cues that can be used to compute image region
distinctiveness. Based on this concept , an efficient visual salience detection
framework is proposed using deep convolutional StochasticNets. Experimental
results using CSSD and MSRA10k natural image datasets show that the proposed
NeRD approach can achieve improved performance when compared to
state-of-the-art image saliency approaches, while the attaining low
computational complexity necessary for near-real-time computer vision
applications.

10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn