Knowledge Commons of Institute of Automation,CAS
Focal Boundary Guided Salient Object Detection | |
Wang, Yupei1,2; Zhao, Xin1,2; Hu, Xuecai3,4; Li, Yin5,6; Huang, Kaiqi2,7,8 | |
发表期刊 | IEEE TRANSACTIONS ON IMAGE PROCESSING |
ISSN | 1057-7149 |
2019-06-01 | |
卷号 | 28期号:6页码:2813-2824 |
通讯作者 | Huang, Kaiqi(kqhuang@nlpr.ia.ac.cn) |
摘要 | The performance of salient object segmentation has been significantly advanced by using the deep convolutional networks. However, these networks often produce blob-like saliency maps without accurate object boundaries. This is caused by the limited spatial resolution of their feature maps after multiple pooling operations and might hinder downstream applications that require precise object shapes. To address this issue, we propose a novel deep model-Focal Boundary Guided (Focal-BG) network. Our model is designed to jointly learn to segment salient object masks and detect salient object boundaries. Our key idea is that additional knowledge about object boundaries can help to precisely identify the shape of the object. Moreover, our model incorporates a refinement pathway to refine the mask prediction and makes use of the focal lass to facilitate the learning of the hard boundary pixels. To evaluate our model, we conduct extensive experiments. Our Focal-BG network consistently outperforms the state-of-the-art methods on five major benchmarks. We provide a detailed analysis of these results and demonstrate that our joint modeling of salient object boundary and mask helps to better capture the shape details, especially in the vicinity of object boundaries. |
关键词 | Visual saliency detection salient object segmentation boundary detection deep learning |
DOI | 10.1109/TIP.2019.2891055 |
关键词[WOS] | MODEL |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Program of China[2016YFB1001005] ; National Natural Science Foundation of China[61673375] ; National Natural Science Foundation of China[61602485] ; National Natural Science Foundation of China[61721004] ; Chinese Academy of Science[QYZDB-SSW-JSC006] ; Chinese Academy of Science[173211KYSB20160008] ; National Key Research and Development Program of China[2016YFB1001005] ; National Natural Science Foundation of China[61673375] ; National Natural Science Foundation of China[61602485] ; National Natural Science Foundation of China[61721004] ; Chinese Academy of Science[QYZDB-SSW-JSC006] ; Chinese Academy of Science[173211KYSB20160008] |
项目资助者 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Chinese Academy of Science |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000462386000014 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
七大方向——子方向分类 | 图像视频处理与分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23350 |
专题 | 复杂系统认知与决策实验室_智能系统与工程 |
通讯作者 | Huang, Kaiqi |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Syst & Engn, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Percept & Comp, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 4.Univ Sci & Technol China, Sch Informat Sci & Technol, Hefei 230026, Anhui, Peoples R China 5.Univ Wisconsin, Dept Biostat & Med Informat, Madison, WI 53706 USA 6.Univ Wisconsin, Dept Comp Sci, 1210 W Dayton St, Madison, WI 53706 USA 7.Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Syst & Engn, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 8.CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 20031, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Wang, Yupei,Zhao, Xin,Hu, Xuecai,et al. Focal Boundary Guided Salient Object Detection[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2019,28(6):2813-2824. |
APA | Wang, Yupei,Zhao, Xin,Hu, Xuecai,Li, Yin,&Huang, Kaiqi.(2019).Focal Boundary Guided Salient Object Detection.IEEE TRANSACTIONS ON IMAGE PROCESSING,28(6),2813-2824. |
MLA | Wang, Yupei,et al."Focal Boundary Guided Salient Object Detection".IEEE TRANSACTIONS ON IMAGE PROCESSING 28.6(2019):2813-2824. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
08603790.pdf(3275KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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