A Survey on Approaches for Saliency Detection with Visual Attention

摘要：

　　Most existing approaches for detecting salient areas in natural scenes are based on the saliency contrast within the local context of image.Nowadays,a few approaches not only consider the difference between the foreground objects and the surrounding background areas,but also consider the saliency objects as the candidates for the center of attention from the humans perspective.This article provides a survey of saliency detection with visual attention,which exploit visual cues of foreground salient areas,visual attention based on saliency map,and deep learning based saliency detection.The published works are explained and descripted in detail,and some related key benchmark datasets are briefly presented.In this article,all documents are published from 2013 to 2018,giving an overview of the progress of the field of saliency detection.

作者: Qi Zhang

作者单位: School of Computer Science,Changan University,710064 Xian,China

会议类型: 国际会议

会议名称: 2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)(2018第二届电子信息技术与计算机工程国际会议)(EITCE2018)

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）