OPT OpenIR  > 飞行器光学成像与测量技术研究室
Pixel-wise ordinal classification for salient object grading
Liu, Yanzhu1; Wang, Yanan2; Kong, Adams Wai Kin1
Department飞行器光学成像与测量技术研究室
2021-02-01
Source PublicationIMAGE AND VISION COMPUTING
ISSN0262-8856
Volume106Pages:12
Contribution Rank2
Abstract

Driven by business intelligence applications for rating attraction of products in shops, a new problem - salient object grading is studied in this paper. In computer vision, plenty of salient object detection approaches have been proposed, while most existing studies detect objects in a binary manner: salient or not. This paper focuses on a new problem setting that requires detecting all salient objects and categorizing them into different salient levels. Based on that, a pixel-wise ordinal classification method is proposed. It consists of a multi-resolution saliency detector which detects and segments objects, an ordinal classifier which grades pixels into different salient levels, and a binary saliency enhancer which sharpens the difference between non-saliency and all other salient levels. Two new image datasets with salient level labels are constructed. Experimental results demonstrate that, on the one hand, the proposed method provides effective salient level predictions and on the other hand, offers very comparable performance with state-of-the-art salient object detection methods in the traditional problem setting. (C) 2020 Elsevier B.V. All rights reserved.

KeywordOrdinal classification Salient object grading Deep neural networks
DOI10.1016/j.imavis.2020.104086
Indexed BySCI
Language英语
Funding ProjectMinistry of Education, Singapore[MOE2016-T2-1-042(S)]
WOS Research AreaComputer Science ; Engineering ; Optics
Funding OrganizationMinistry of Education, Singapore
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS IDWOS:000620292700002
PublisherELSEVIER
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/94591
Collection飞行器光学成像与测量技术研究室
Corresponding AuthorLiu, Yanzhu
Affiliation1.Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore 639978, Singapore
2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China
Recommended Citation
GB/T 7714
Liu, Yanzhu,Wang, Yanan,Kong, Adams Wai Kin. Pixel-wise ordinal classification for salient object grading[J]. IMAGE AND VISION COMPUTING,2021,106:12.
APA Liu, Yanzhu,Wang, Yanan,&Kong, Adams Wai Kin.(2021).Pixel-wise ordinal classification for salient object grading.IMAGE AND VISION COMPUTING,106,12.
MLA Liu, Yanzhu,et al."Pixel-wise ordinal classification for salient object grading".IMAGE AND VISION COMPUTING 106(2021):12.
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