计算机与现代化Issue(4)：48-55,8.DOI:10.3969/j.issn.1006-2475.2018.04.010
基于深度学习的显著性检测方法模型——SCS
SCS:A Model of Saliency Detection Based on Deep Learning
张洪涛 1路红英 1刘腾飞 1张玲玉 1张晓明1
作者信息
- 1. 北京交通大学计算机与信息技术学院,北京100044
- 折叠
摘要
Abstract
In this paper,we propose a method of saliency detection based on deep learning.This method extracts the low-level contrast features and high-level semantic features involved in the two visual attention mechanisms,and combines both of them to obtain a classification-based saliency detection model SCS.Through the comparison experiment,it is concluded that the proposed detection model has significant advantages in the accuracy of saliency detection.关键词
显著性/对比特征/语义特征/分类/检测模型Key words
saliency/contrast feature/semantic feature/classification/detection model分类
信息技术与安全科学引用本文复制引用
张洪涛,路红英,刘腾飞,张玲玉,张晓明..基于深度学习的显著性检测方法模型——SCS[J].计算机与现代化,2018,(4):48-55,8.
