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RGBD co-saliency detection via multiple kernel boosting and fusion
Wu, Lishan[1]; Liu, Zhi[2]; Song, Hangke[3]; Le Meur, Olivier[4]
刊名MULTIMEDIA TOOLS AND APPLICATIONS
2018
卷号77页码:21185-21199
关键词Co-saliency detection RGBD images Multiple kernel boosting Fusion
ISSN号1380-7501
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2172907
专题上海大学
作者单位1.[1]Shanghai Univ, Shanghai Inst Adv Commun & Data Sci, Shanghai 200444, Peoples R China.,Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200444, Peoples R China.
2.[2]Shanghai Univ, Shanghai Inst Adv Commun & Data Sci, Shanghai 200444, Peoples R China.,Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200444, Peoples R China.
3.[3]Shanghai Univ, Shanghai Inst Adv Commun & Data Sci, Shanghai 200444, Peoples R China.,Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200444, Peoples R China.
4.[4]Univ Rennes 1, IRISA, F-35042 Rennes, France.
推荐引用方式
GB/T 7714
Wu, Lishan[1],Liu, Zhi[2],Song, Hangke[3],et al. RGBD co-saliency detection via multiple kernel boosting and fusion[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2018,77:21185-21199.
APA Wu, Lishan[1],Liu, Zhi[2],Song, Hangke[3],&Le Meur, Olivier[4].(2018).RGBD co-saliency detection via multiple kernel boosting and fusion.MULTIMEDIA TOOLS AND APPLICATIONS,77,21185-21199.
MLA Wu, Lishan[1],et al."RGBD co-saliency detection via multiple kernel boosting and fusion".MULTIMEDIA TOOLS AND APPLICATIONS 77(2018):21185-21199.
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