Multistrengthening Module-Based Salient Object Detection
Qian Zhao,
Haifeng Wang,
Junpeng Dang,
Songlin Li,
Rong Chang,
Yanbin Fang,
Zhi Zhang,
Jie Peng and
Yang Yang
Mathematical Problems in Engineering, 2021, vol. 2021, 1-12
Abstract:
Object detection is a classical research problem in computer vision, and it is widely used in the automatic monitoring field of various production safety. However, current object detection techniques often suffer low detection accuracy when an image has a complex background. To solve this problem, this paper proposes a double U-shaped multireinforced unit structure network (DUMRN). The proposed network consists of a detection module (DM), a reinforced module (RM), and a salient loss function (SLF). Extensive experiments on five public datasets and a practical application dataset are conducted and compared against nine state-of-the-art methods. The experiment results show the superiority of our method over the state of the art.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2021/2472676.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2021/2472676.xml (text/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:2472676
DOI: 10.1155/2021/2472676
Access Statistics for this article
More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().