Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 6
1870-1875,1881

Research on facial landmarks detection network based on Transformer

Chen Kai1,2
Lin Shanling1,2
Lin Jianpu1,2
Lin Zhixian1,2,3
Miao Zhihui1
Guo Tailiang2,3
1. School of Advanced Manufacturing, Fuzhou University, Quanzhou Fujian 362200, China
2. Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou 350116, China
3. College of Physics & Information Engineering, Fuzhou University, Fuzhou 350116, China
DOI: 10.19734/j.issn.1001-3695.2022.10.0501

Abstract

In order to address the shortcomings of the facial landmarks detection models, which cannot model the relations between long-distance landmarks, this paper proposed a parallel multi-branch architecture combining with convolution and Transformer for facial landmarks tasks, called MCTN, it utilized the dynamic attention mechanism to model the long-distance relations between facial landmarks. The multi-branch parallel structure designing allowed MCTN to include shared weights, global information fusion and other merits. What's more, this paper proposed the novel Transformer structure, Deformer, which could make the MCTN focused attention weights faster on sparse and meaningful locations and solved the problem of slow convergence of Transformer. MCTN reached 4.33%, 3.12% and 3.15% normalized average error respectively on the WFLW, 300W and COFW datasets, the results show that MCTN utilizes Transformer with CNN multi-branch parallel structure and Deformer structure to dramatically outperform other facial landmarks localization algorithms based on convolution network.

Foundation Support

国家重点研发计划资助项目(2021YFB3600603)
福建省自然科学基金资助项目(2020J01468)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.10.0501
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 6
Section: Technology of Graphic & Image
Pages: 1870-1875,1881
Serial Number: 1001-3695(2023)06-043-1870-06

Publish History

[2023-01-09] Accepted Paper
[2023-06-05] Printed Article

Cite This Article

陈凯, 林珊玲, 林坚普, 等. 基于Transformer人像关键点检测网络的研究 [J]. 计算机应用研究, 2023, 40 (6): 1870-1875,1881. (Chen Kai, Lin Shanling, Lin Jianpu, et al. Research on facial landmarks detection network based on Transformer [J]. Application Research of Computers, 2023, 40 (6): 1870-1875,1881. )

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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.

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