中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Semantic segmentation based on DeepLabV3+ and superpixel optimization

文献类型:期刊论文

作者F.-L.Ren; X.He; Z.-H.Wei; Y.Lu; M.-Y.Li
刊名Guangxue Jingmi Gongcheng/Optics and Precision Engineering
出版日期2019
卷号27期号:12页码:2722-2729
关键词Image segmentation,Clustering algorithms,Deep learning,Iterative methods,Semantics,Superpixels
ISSN号1004924X
DOI10.3788/OPE.20192712.2722
英文摘要To tackle the problem where by DeepLabV3+ loses considerable detail information during feature extraction, which leads to poor segmentation results in the edges of the objects, this study proposed a semantics segmentation algorithm based on DeepLabV3+ and optimized by superpixels. First, a DeepLabV3+ model was chosen to extract semantic features and obtain coarse semantic segmentation results. Then, the simple linear iterative clustering algorithm was used to segment the input image into superpixels. Finally, high-level abstract semantic features and detailed information of the superpixels were fused to obtain edge optimized semantic segmentation results. Experiments conducted on the PASCAL VOC 2O12 dataset show that compared to DeepLabV3+, the proposed algorithm had superior performance in terms of detail parts such as edges of objects, and the value of mIoU reached 83.8%.The proposed algorithm thus outperformed other state-of-the-art algorithms in terms of semantic segmentation. 2019, Science Press. All right reserved.
URL标识查看原文
源URL[http://ir.ciomp.ac.cn/handle/181722/63094]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
F.-L.Ren,X.He,Z.-H.Wei,et al. Semantic segmentation based on DeepLabV3+ and superpixel optimization[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2019,27(12):2722-2729.
APA F.-L.Ren,X.He,Z.-H.Wei,Y.Lu,&M.-Y.Li.(2019).Semantic segmentation based on DeepLabV3+ and superpixel optimization.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,27(12),2722-2729.
MLA F.-L.Ren,et al."Semantic segmentation based on DeepLabV3+ and superpixel optimization".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 27.12(2019):2722-2729.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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