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SalNet: Edge constraint based end-to-end model for salient object detection
Han, Le1,2; Li, Xuelong1; Dong, Yongsheng1
2018
会议名称1st Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018
会议录名称Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Proceedings
卷号11259 LNCS
页码186-198
会议日期2018-11-23
会议地点Guangzhou, China
出版者Springer Verlag
产权排序1
摘要

Salient object detection is a fundamental task in computer vision and pattern recognition. And it has been investigated by many researchers in many fields for a long time. Numerous salient object detection models based on deep learning have been designed in recent years. However, the saliency maps extracted by most of the existing models are blurry or have irregular edges. To alleviate these problems, we propose a novel approach named SalNet to detect the salient objects accurately in this paper. The architecture of the SalNet is an U-Net which can combine the features of the shallow and deep layers. Moreover, a new objective function based on the image convolution is further proposed to refine the edges of saliency maps by using a constraint on the L1 distance between edge information of the ground-truth and the saliency maps. Finally, we evaluate our proposed SalNet on benchmark datasets and compare it with the state-of-the-art algorithms. Experimental results demonstrate that the SalNet is effective and outperforms several representative methods in salient object detection task. ? Springer Nature Switzerland AG 2018.

作者部门光学影像学习与分析中心
DOI10.1007/978-3-030-03341-5_16
收录类别EI
ISBN号9783030033408
语种英语
ISSN号03029743;16113349
EI入藏号20184806152345
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/30868
专题光学影像学习与分析中心
通讯作者Dong, Yongsheng
作者单位1.Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an; Shaanxi; 710119, China;
2.University of Chinese Academy of Sciences, 19A Yuquanlu, Beijing; 100049, China
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Han, Le,Li, Xuelong,Dong, Yongsheng. SalNet: Edge constraint based end-to-end model for salient object detection[C]:Springer Verlag,2018:186-198.
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