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Technology of Graphic & Image
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1212-1215

Real time object detection method based on improved attention transfer

Zhang Chia,b
Liu Hongzhea,b
a. Beijing Key Laboratory of Information Service Engineering, b. College of Robotics, Beijing Union University, Beijing 100101, China

Abstract

Recently, deep neural networks need to be deployed with low memory and computing resources, so it is necessary to design an efficient and compact network structure. This paper proposed a model compression method(KE) based on improved attention transfer for the design of compact neural networks, which mainly used a wide residual teacher network(WRN) to guide a compact student network(KENet) by extracting both spatial and channel-wise attention to improve the performance, and applied this method to real-time object detection. The image classification experiment on CIFAR verifies that the knowledge distillation method with improved attention transfer can improve the performance of the compact model. The object detection experiment on VOC verifies that the model KEDet has good accuracy(72.7 mAP) and time performance(86 fps). The experimental results show that the object detection model based on improved attention transfer has good accuracy and real-time performance.

Foundation Support

国家自然科学基金资助项目(61871039,61906017,61802019)
北京市教委项目(KM202111417001,KM201911417001)
视觉智能协同创新中心项目(CYXC2011)
北京联合大学学术研究项目(ZB10202003,ZK80202001,XP202015,BPHR2019AZ01)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.02.0079
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 4
Section: Technology of Graphic & Image
Pages: 1212-1215
Serial Number: 1001-3695(2021)04-048-1212-04

Publish History

[2021-04-05] Printed Article

Cite This Article

张弛, 刘宏哲. 基于改进注意力迁移的实时目标检测方法 [J]. 计算机应用研究, 2021, 38 (4): 1212-1215. (Zhang Chi, Liu Hongzhe. Real time object detection method based on improved attention transfer [J]. Application Research of Computers, 2021, 38 (4): 1212-1215. )

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.

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