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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 9
2876-2880

Improved DeepLab-v3 model using nine-point bicubic convolution interpolation

Song Guojie
Huang Jiafang
Chen Puchun
Chen Yali
School of Science, Southwest Petroleum University, Chengdu 610500, China
DOI: 10.19734/j.issn.1001-3695.2019.04.0125

Abstract

In view of the fact that the bilinear interpolation method in the DeepLab-v3 model can only extract information from four adjacent sampling points, resulting in the degradation of image segmentation accuracy, this paper proposed two improved DeepLab-v3 models: IDL-v3-1 and IDL-v3-2. The two improved models replaced the bilinear interpolation method of the DeepLab-v3 model with a nine-point bicubic convolution interpolation method to get a more accurate segmentation image. It tested model on the PASCAL VOC 2012 dataset, it was found that compared with the DeepLab-v3 model, the accuracy of IDL-v3-1 and IDL-v3-2 were increased by 0.43% and 0.59%, respectively, and the time taken to segment each image was increased by 0.002 s and 0.005 s, respectively. Experimental results show that the improved DeepLab-v3 model can achieve higher image segmentation accuracy in a similar time cost as the DeepLab-v3 model.

Foundation Support

国家自然科学基金面上项目(41674141)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.04.0125
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: Technology of Graphic & Image
Pages: 2876-2880
Serial Number: 1001-3695(2020)09-065-2876-05

Publish History

[2020-09-05] Printed Article

Cite This Article

宋国杰, 黄佳芳, 陈普春, 等. 使用九点双三次卷积插值方法改进的DeepLab-v3模型 [J]. 计算机应用研究, 2020, 37 (9): 2876-2880. (Song Guojie, Huang Jiafang, Chen Puchun, et al. Improved DeepLab-v3 model using nine-point bicubic convolution interpolation [J]. Application Research of Computers, 2020, 37 (9): 2876-2880. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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