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Saliency Detection by Multiple-Instance Learning

文献类型:期刊论文

作者Wang, Qi; Yuan, Yuan; Yan, Pingkun; Li, Xuelong
刊名ieee transactions on cybernetics
出版日期2013-04-01
卷号43期号:2页码:660-672
关键词Attention computer vision machine learning multiple-instance learning (MIL) saliency saliency map
ISSN号2168-2267
产权排序1
英文摘要saliency detection has been a hot topic in recent years. its popularity is mainly because of its theoretical meaning for explaining human attention and applicable aims in segmentation, recognition, etc. nevertheless, traditional algorithms are mostly based on unsupervised techniques, which have limited learning ability. the obtained saliency map is also inconsistent with many properties of human behavior. in order to overcome the challenges of inability and inconsistency, this paper presents a framework based on multiple-instance learning. low-, mid-, and high-level features are incorporated in the detection procedure, and the learning ability enables it robust to noise. experiments on a data set containing 1000 images demonstrate the effectiveness of the proposed framework. its applicability is shown in the context of a seam carving application.
WOS标题词science & technology ; technology
类目[WOS]computer science, artificial intelligence ; computer science, cybernetics
研究领域[WOS]computer science
关键词[WOS]selective visual-attention ; region detection ; image segmentation ; recognition ; color ; model
收录类别SCI ; EI
语种英语
WOS记录号WOS:000317644300021
源URL[http://ir.opt.ac.cn/handle/181661/23190]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China
推荐引用方式
GB/T 7714
Wang, Qi,Yuan, Yuan,Yan, Pingkun,et al. Saliency Detection by Multiple-Instance Learning[J]. ieee transactions on cybernetics,2013,43(2):660-672.
APA Wang, Qi,Yuan, Yuan,Yan, Pingkun,&Li, Xuelong.(2013).Saliency Detection by Multiple-Instance Learning.ieee transactions on cybernetics,43(2),660-672.
MLA Wang, Qi,et al."Saliency Detection by Multiple-Instance Learning".ieee transactions on cybernetics 43.2(2013):660-672.

入库方式: OAI收割

来源:西安光学精密机械研究所

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