Contour-aware network for semantic segmentation via adaptive depth | |
Jiang, Zhiyu1,2; Yuan, Yuan1; Wang, Qi3,4,5 | |
作者部门 | 光学影像学习与分析中心 |
2018-04-05 | |
发表期刊 | NEUROCOMPUTING
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ISSN | 0925-2312 |
卷号 | 284页码:27-35 |
产权排序 | 1 |
摘要 | Semantic segmentation has been widely investigated for its important role in computer vision. However, some challenges still exist. The first challenge is how to perceive semantic regions with various attributes, which can result in unbalanced distribution of training samples. Another challenge is accurate semantic boundary determination. In this paper, a contour-aware network for semantic segmentation via adaptive depth is proposed which particularly exploits the power of adaptive-depth neural network and contour-aware neural network on pixel-level semantic segmentation. Specifically, an adaptive-depth model, which can adaptively determine the feedback and forward procedure of neural network, is constructed. Moreover, a contour-aware neural network is respectively built to enhance the coherence and the localization accuracy of semantic regions. By formulating the contour information and coarse semantic segmentation results in a unified manner, global inference is proposed to obtain the final segmentation results. Three contributions are claimed: (1) semantic segmentation via adaptive depth neural network; (2) contour-aware neural network for semantic segmentation; and (3) global inference for final decision. Experiments on three popular datasets are conducted and experimental results have verified the superiority of the proposed method compared with the state-of-the-art methods. (C) 2018 Elsevier B.V. All rights reserved. |
关键词 | Semantic Segmentation Scene Parsing Contour Crf Adaptive Depth |
学科领域 | Computer Science, Artificial Intelligence |
DOI | 10.1016/j.neucom.2018.01.022 |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000425883300004 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/30755 |
专题 | 光学影像学习与分析中心 |
通讯作者 | Wang, Qi |
作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Shaanxi, Peoples R China; 4.Northwestern Polytech Univ, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710072, Shaanxi, Peoples R China; 5.Northwestern Polytech Univ, USRI, Xian 710072, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Jiang, Zhiyu,Yuan, Yuan,Wang, Qi. Contour-aware network for semantic segmentation via adaptive depth[J]. NEUROCOMPUTING,2018,284:27-35. |
APA | Jiang, Zhiyu,Yuan, Yuan,&Wang, Qi.(2018).Contour-aware network for semantic segmentation via adaptive depth.NEUROCOMPUTING,284,27-35. |
MLA | Jiang, Zhiyu,et al."Contour-aware network for semantic segmentation via adaptive depth".NEUROCOMPUTING 284(2018):27-35. |
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Contour-aware networ(1413KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
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