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Multi-scale spatial context-based semantic edge detection

文献类型：期刊论文

作者Ma, Wei1; Gong, Chaofan1; Xu, Shibiao2; Zhang, Xiaopeng2
刊名INFORMATION FUSION
出版日期2020-12-01
卷号64页码:238-251
ISSN号1566-2535
关键词Semantic edge detection Convolutional neural network Multi-scale feature fusion Location-aware information fusion Gradual fusion
DOI10.1016/j.inffus.2020.08.014
通讯作者Xu, Shibiao(shibiao.xu@nlpr.ia.ac.cn)
英文摘要The good fusion of multi-scale features obtained by Convolutional neural networks (CNNs) is key to semantic edge detection; however, obtaining fusion is challenging. This paper presents a Multi-scale Spatial Context-based deep network for Semantic Edge Detection (MSC-SED). Different from state-of-the-art methods, MSC-SED gradually fuses multi-scale low-to-high level CNN features in an end-to-end architecture. This fusion structure obtains rich multi-scale features while enhancing the details of higher-level features. Beside the overall structure, we present the following two functional modules: the Context Aggregation Module (CAM) and Location-Aware fusion Module (LAM). The CAM helps to enrich context in features at each stage, before and after fusion. The LAM helps to selectively integrate lower-level features. The proposed method outperforms state-of-the-art approaches in terms of both the edge quality and the accuracy of edge categorization on both the SBD and Cityscapes datasets.
WOS关键词IMAGE ; BOUNDARIES
资助项目National Natural Science Foundation of China[61771026] ; National Natural Science Foundation of China[61620106003] ; National Natural Science Foundation of China[91860124] ; National Natural Science Foundation of China[61971418] ; National Natural Science Foundation of China[61972459] ; National Key Research and Development Program of China[2018YFB2100602] ; Key Project of Beijing Municipal Education Commission, China[KZ201910005008]
WOS研究方向Computer Science
语种英语
出版者ELSEVIER
WOS记录号WOS:000572143400001
资助机构National Natural Science Foundation of China ; National Key Research and Development Program of China ; Key Project of Beijing Municipal Education Commission, China
源URL[http://ir.ia.ac.cn/handle/173211/41995]  
专题模式识别国家重点实验室_三维可视计算
通讯作者Xu, Shibiao
作者单位1.Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Ma, Wei,Gong, Chaofan,Xu, Shibiao,et al. Multi-scale spatial context-based semantic edge detection[J]. INFORMATION FUSION,2020,64:238-251.
APA Ma, Wei,Gong, Chaofan,Xu, Shibiao,&Zhang, Xiaopeng.(2020).Multi-scale spatial context-based semantic edge detection.INFORMATION FUSION,64,238-251.
MLA Ma, Wei,et al."Multi-scale spatial context-based semantic edge detection".INFORMATION FUSION 64(2020):238-251.

入库方式： OAI收割

来源：自动化研究所

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