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Technology of Graphic & Image
|
3826-3830

Data relation proxy loss for fine-grained image

Gou Guanglei
Yang Yu
Zhu Dongxu
School of Computer Science & Engineering, Chongqing University of Technology, Chongqing 400054, China

Abstract

In the existing metric learning methods, the tuple-based loss training speed is slow and the proxy-based loss don't consider the fine-grained semantic relationship between the data. In response to these problems, the paper combined the advantages of the two and proposed a DRPLoss function for fine-grained images. This paper used an inception network with a BN layer as the embedding network, learnt the correlation between data through gradient interaction in the metric space, and used temperature scaling to adjust the DRPLoss to supervise and train the embedding vector. Finally, this paper verified the effectiveness of diffe-rent embedding dimensions DRPLoss on CUB-200-2011 and Car-196 datasets. The experiment improves the evaluation index of recall@1 by 2% and 6.4% respectively. Compared with the tuple-based loss and proxy-based loss, the experimental results show that DRPLoss is faster in training and has a significant improvement in the performance of fine-grained image retrieval.

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资助项目(clgycx20202095,clgycx20202089)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0137
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Technology of Graphic & Image
Pages: 3826-3830
Serial Number: 1001-3695(2021)12-055-3826-05

Publish History

[2021-12-05] Printed Article

Cite This Article

苟光磊, 杨雨, 朱东旭. 面向细粒度图像的数据关联代理损失 [J]. 计算机应用研究, 2021, 38 (12): 3826-3830. (Gou Guanglei, Yang Yu, Zhu Dongxu. Data relation proxy loss for fine-grained image [J]. Application Research of Computers, 2021, 38 (12): 3826-3830. )

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  • Application Research of Computers Monthly Journal
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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.

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