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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 4
1259-1264

Fine-grained image retrieval method based on convolution feature aggregation

Gou Guanglei
Zhu Dongxu
Yang Yu
School of Computer Science & Engineering, Chongqing University of Technology, Chongqing 400054, China
DOI: 10.19734/j.issn.1001-3695.2021.07.0322

Abstract

Aiming at the problem that the full connection layer of convolutional neural network(CNN) obtains the global semantic information of image categories, which cannot effectively suppress the background noise and represent the local detail information of the image, leading to the negative samples in the fine-grained image retrieval task, this paper proposed a selective weighting method to aggregate the convolution features and rearrange the k-reciprocal nearest neighbor. This method mainly extracted and filtered the last layer features of CNN to aggregate into a single-dimensional global feature vector, and then introduced the k-nearest neighbor algorithm to rearrange the retrieved results. It carried out validation and evaluation in fine-grained benchmark dataset CUB-200-2011, indoor scene dataset Indoor, and common category dataset Caltech-101. The experimental results show that this method can effectively improve the retrieval of negative samples. Comparing with SCDA method, the retrieval accuracy and recall rate of this method are significantly improved.

Foundation Support

重庆市基础科学与前沿技术研究项目(cstc2017jcyjAX0144)
重庆理工大学研究生创新计划资助项目(clgycx20202089)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.07.0322
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: Technology of Graphic & Image
Pages: 1259-1264
Serial Number: 1001-3695(2022)04-051-1259-06

Publish History

[2021-10-29] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

苟光磊, 朱东旭, 杨雨. 基于卷积特征聚合的细粒度图像检索方法 [J]. 计算机应用研究, 2022, 39 (4): 1259-1264. (Gou Guanglei, Zhu Dongxu, Yang Yu. Fine-grained image retrieval method based on convolution feature aggregation [J]. Application Research of Computers, 2022, 39 (4): 1259-1264. )

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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