Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 7
2203-2208

Semantic consistency constrain and local-global aware multi-modal 3D visual grounding

Luo Han1
Ma Haotong2
Liu Jie3
Yan Hua1
Lei Yinjie1
1. College of Electronics & Information Engineering, Sichuan University, Chengdu 610065, China
2. Institute of Optics & Electronics, Chinese Academy of Sciences, Key Laboratory of Optical Engineering, Chengdu 610209, China
3. The 10th Research Institute of China Electronics Technology Group Corporation, CETC Key Laboratory of Avionic Information System Technology, Chengdu 610036, China
DOI: 10.19734/j.issn.1001-3695.2023.09.0515

Abstract

The scarcity of 3D multimodal data results in a lack of semantic consistency between text and visual features during supervised training using traditional methods. Meanwhile, traditional methods also overlook local relationships and global information, resulting in poor performance. To address the above issues, this paper proposed a semantic consistency constrain and local-global aware multi-modal 3D visual grounding method. Firstly, the method helped the 3D model extract point cloud-text semantic consistency features by distilling 2D pre-trained visual language model knowledge. Secondly, it designed a local-global aware module to continuously supplement and enhanced candidate target features to match targets more accurately. Experiments conducted on the ScanRefer dataset show that the proposed method achieves 50.53% and 37.67% in terms of Acc@0.25 IoU and Acc@0.5 IoU and exceeds most existing 3D visual grounding methods, confirming the effectiveness of the method.

Foundation Support

国家自然科学基金面上项目(62276176)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.09.0515
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 7
Section: Technology of Graphic & Image
Pages: 2203-2208
Serial Number: 1001-3695(2024)07-040-2203-06

Publish History

[2023-12-29] Accepted Paper
[2024-07-05] Printed Article

Cite This Article

罗寒, 马浩统, 刘杰, 等. 基于语义一致性约束与局部-全局感知的多模态3D视觉定位 [J]. 计算机应用研究, 2024, 41 (7): 2203-2208. (Luo Han, Ma Haotong, Liu Jie, et al. Semantic consistency constrain and local-global aware multi-modal 3D visual grounding [J]. Application Research of Computers, 2024, 41 (7): 2203-2208. )

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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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