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Contextual deconvolution network for semantic segmentation

文献类型：期刊论文

作者Fu, Jun1,2; Liu, Jing1; Li, Yong3; Bao, Yongjun3; Yan, Weipeng3; Fang, Zhiwei1,2; Lu, Hanqing1
刊名PATTERN RECOGNITION
出版日期2020-05-01
卷号101页码:11
ISSN号0031-3203
关键词Semantic segmentation Deconvolution network Channel contextual module Spatial contextual module
DOI10.1016/j.patcog.2019.107152
通讯作者Liu, Jing(jliu@nlpr.ia.ac.cn)
英文摘要In this paper, we propose a Contextual Deconvolution Network (CDN) and focus on context association in decoder network. Specifically, in upsampling path, we introduce two types of contextual modules to model the interdependencies of features in channel and spatial dimensions respectively. The channel contextual module captures image-level semantic information by aggregating the feature maps across spatial dimensions, and clarifies global ambiguity of features. Meanwhile, the spatial contextual module obtains patch-level semantic context by learning a spatial weight map, and enhance the feature discrimination. We embed the two contextual modules into individual components of the decoder network, thus improving the representation power and gaining more precise segment results. Thorough evaluations are performed on four challenging datasets, i.e., PASCAL VOC 2012, ADE20K, PASCAL-Context and Cityscapes dataset. Our approach achieves competitive performance with state-of-the-art models on PASCAL VOC 2012, ADE20K and Cityscapes dataset, and new state-of-the-art performance on PASCAL-Context dataset. (C) 2019 Published by Elsevier Ltd.
资助项目National Natural Science Foundation of China[61922086] ; National Natural Science Foundation of China[61872366] ; National Natural Science Foundation of China[61872364]
WOS研究方向Computer Science ; Engineering
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000525824600001
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/38931]  
专题自动化研究所_模式识别国家重点实验室_图像与视频分析团队
通讯作者Liu, Jing
作者单位1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.JD Com, Business Growth BU, Intelligent Advertising Lab, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Fu, Jun,Liu, Jing,Li, Yong,et al. Contextual deconvolution network for semantic segmentation[J]. PATTERN RECOGNITION,2020,101:11.
APA Fu, Jun.,Liu, Jing.,Li, Yong.,Bao, Yongjun.,Yan, Weipeng.,...&Lu, Hanqing.(2020).Contextual deconvolution network for semantic segmentation.PATTERN RECOGNITION,101,11.
MLA Fu, Jun,et al."Contextual deconvolution network for semantic segmentation".PATTERN RECOGNITION 101(2020):11.

入库方式： OAI收割

来源：自动化研究所

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