VCSNet: V-fused color saliency net

doi:10.1002/cpe.7127

	VCSNet: V-fused color saliency net
	Xu, Binjing 1; Wu, Qiong 2; Qin, Hong 3,4,5; Liu, Zhiyuan 6; Shi, Lin 1; Li, Shuang 3
	2022-06-14
发表期刊	CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
ISSN	1532-0626
页码	12
摘要	Image salient region detection methods, which can detect and extract interesting regions in pictures, have been a hot research direction in recent years. Most of current salient region detection algorithms and corresponding training datasets originated from general visual attention processes and primarily reflected attention to object shape in pictures. While color vision provided more useful information in vision systems, the color effect of visual attention should be and must be considered. First, we collected cue data of painting pictures from several observers using eye-track recording technology when observers were asked to pay attention to color information of various paintings. Second, we constructed a color attention dataset, color saliency dataset (CSD), from the cue data and pictures. Thirdly, we designed a V-fused color saliency net (VCSNet) model which included three modules: a color information fusion module, a prediction module, and an optimization module and trained the model using the CSD. Finally, we compared our method with previous algorithms on the CSD, and results showed that our method outperformed the previous algorithms in color saliency detection with MAE of 0.057 and Fmax of 0.265. We open source part of the self-created dataset: .
关键词	color attention deep learning eye movement saliency detection
DOI	10.1002/cpe.7127
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000810647100001
出版者	WILEY
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/19617
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Shi, Lin; Li, Shuang
作者单位	1.Kunming Univ Sci & Technol, Sch Automat & Informat Engn, Kunming 650500, Yunnan, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China 4.Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing, Peoples R China 5.Univ Chinese Acad Sci, Sch Integrated Circuits, Beijing, Peoples R China 6.PowerChina Kunming Engn Corp Ltd, Kunming, Yunnan, Peoples R China
推荐引用方式 GB/T 7714	Xu, Binjing,Wu, Qiong,Qin, Hong,et al. VCSNet: V-fused color saliency net[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2022:12.
APA	Xu, Binjing,Wu, Qiong,Qin, Hong,Liu, Zhiyuan,Shi, Lin,&Li, Shuang.(2022).VCSNet: V-fused color saliency net.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,12.
MLA	Xu, Binjing,et al."VCSNet: V-fused color saliency net".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2022):12.