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Technology of Graphic & Image
|
3837-3840

Monocular depth estimation based on DSPP

Zhang Jinglan
Wei Min
Wen Wu
School of Computer, Chengdu University of Information Technology, Chengdu 610225, China

Abstract

Atrous spatial pyramid pooling(ASPP) has applications in various tasks of deep learning. The traditional ASPP module only considers improving the receptive field of convolution, but the pixels selected by each atrous convolution in ASPP are scattered, and a lot of information between points will be lost, while depth estimation is a dense prediction task. Aiming at the drawback of the ASPP module, this paper proposed a dynamic and dense DSPP module, this module replaced atrous convolution with a dynamic convolution, combined the idea of ASPP, adopted different kernel sizes, and combined channel attention to make full use of the features of each layer. It solved the problem of ASPP losing information, and improved the accuracy of the overall model on the premise of greatly reducing the amount of module parameters compared with ASPP. Compared with the mainstream algorithm on the NYU Depth v2 dataset, the depth map reduces the root mean square error(RMSE) by 12.5% to 0.407, and the accuracy(δ<1.25) increases by 3.4% to 0.875, which verifies the effectiveness of the algorithm.

Foundation Support

四川省科技厅重点研发项目(2020YFG0442)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0212
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 12
Section: Technology of Graphic & Image
Pages: 3837-3840
Serial Number: 1001-3695(2022)12-051-3837-04

Publish History

[2022-07-08] Accepted Paper
[2022-12-05] Printed Article

Cite This Article

张竞澜, 魏敏, 文武. 基于DSPP的单目图像深度估计 [J]. 计算机应用研究, 2022, 39 (12): 3837-3840. (Zhang Jinglan, Wei Min, Wen Wu. Monocular depth estimation based on DSPP [J]. Application Research of Computers, 2022, 39 (12): 3837-3840. )

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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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