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System Development & Application
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861-865,872

Design of Atrous filter to strengthen small object detection capability of SSD

Wen Jiewen
Zhan Yinwei
Li Chuhong
Lu Jianbiao
School of Computer Science & Technology, Guangdong University of Technology, Guangzhou 510006, China

Abstract

In order to overcome the shortcomings that SSD(single shot multibox detector) can not detect small objects well, this paper proposed an Atrous filter design strategy, which could strengthen the resolution of feature maps. The improved algorithm concatenated the feature maps that generated by the third and fourth convolution layer after normalization, and then improved the resolution of these feature maps by Atrous computed. The concatenated feature maps provided the required features for small objects. In addition, the SSD improved algorithm also added SeLU(scaled exponential linear units) activation function and designed a data augmented methods in the data preprocessing phase. The experimental results shows that the proposal algorithm has higher detection accuracy and better robustness than the original SSD algorithm. Furthermore, the detection performance obvious better on small target detection.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0967
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: System Development & Application
Pages: 861-865,872
Serial Number: 1001-3695(2019)03-043-0861-05

Publish History

[2019-03-05] Printed Article

Cite This Article

温捷文, 战荫伟, 李楚宏, 等. 一种加强SSD小目标检测能力的Atrous滤波器设计 [J]. 计算机应用研究, 2019, 36 (3): 861-865,872. (Wen Jiewen, Zhan Yinwei, Li Chuhong, et al. Design of Atrous filter to strengthen small object detection capability of SSD [J]. Application Research of Computers, 2019, 36 (3): 861-865,872. )

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  • 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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