OPT OpenIR  > 光学影像学习与分析中心
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
ISSN0925-2312
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
DOI10.1016/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.
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
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
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Jiang, Zhiyu]的文章
[Yuan, Yuan]的文章
[Wang, Qi]的文章
百度学术
百度学术中相似的文章
[Jiang, Zhiyu]的文章
[Yuan, Yuan]的文章
[Wang, Qi]的文章
必应学术
必应学术中相似的文章
[Jiang, Zhiyu]的文章
[Yuan, Yuan]的文章
[Wang, Qi]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Contour-aware network for semantic segmentation via adaptive depth.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。