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Contour-aware network for semantic segmentation via adaptive depth
Jiang, Zhiyu1,2; Yuan, Yuan1; Wang, Qi3,4,5
Department光学影像学习与分析中心
2018-04-05
Source PublicationNEUROCOMPUTING
ISSN0925-2312
Volume284Pages:27-35
Contribution Rank1
Abstract

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.

KeywordSemantic Segmentation Scene Parsing Contour Crf Adaptive Depth
Subject AreaComputer Science, Artificial Intelligence
DOI10.1016/j.neucom.2018.01.022
Indexed BySCI ; EI
Language英语
WOS IDWOS:000425883300004
EI Accession Number20180604757007
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30755
Collection光学影像学习与分析中心
Corresponding AuthorWang, Qi
Affiliation1.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
Recommended Citation
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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