Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 4
1263-1267

Referring image segmentation method based on local feature extraction guided by noun

Zheng Jian
Shen Shitao
Yu Xiangchun
Pang Qingwei
Wu Zongzong
School of Information & Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0389

Abstract

Local feature information plays an important role in image segmentation, however, the referring image segmentation task is dependent on the text expression, so it is impossible to extract local feature information directly from the original reference image. In order to solve this problem, this paper proposed a specific noun-guided local feature extraction deep neural network model(NgLFNet). The NgLFNet model can automatically mine the local feature information of the object to be segmented according to the key nouns in the input text expression. Specifically, the model firstly obtained key nouns in text through sentence analysis. Secondly, extracting corresponding features through text and image encoders, and using the key nouns to obtain local features of high-interest regions through the multi-head attention mechanism. Then the multi-modal features were gradually fused to learn. Finally, the decoding and correction module used the obtained local features to perform more detailed corrections on the prediction mask to obtain the final result. The proposed method is compared with a variety of mainstream referring segmentation methods and the experimental results show that the proposed method improves the accuracy of text-based instance segmentation task.

Foundation Support

江西省教育厅科学技术研究项目(GJJ190468)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0389
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Technology of Graphic & Image
Pages: 1263-1267
Serial Number: 1001-3695(2023)04-049-1263-05

Publish History

[2022-10-19] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

郑剑, 沈士涛, 于祥春, 等. 名词引导局部特征提取的基于文本的实例分割方法 [J]. 计算机应用研究, 2023, 40 (4): 1263-1267. (Zheng Jian, Shen Shitao, Yu Xiangchun, et al. Referring image segmentation method based on local feature extraction guided by noun [J]. Application Research of Computers, 2023, 40 (4): 1263-1267. )

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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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