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Attribute annotation on large-scale image database by active knowledge transfer

文献类型：期刊论文

作者Jiang, Huajie1,2,3,4; Wang, Ruiping2,4; Li, Yan2,4; Liu, Haomiao2,4; Shan, Shiguang2,4; Chen, Xilin2,4
刊名IMAGE AND VISION COMPUTING
出版日期2018-10-01
卷号78页码:1-13
关键词Attribute Annotation Relationship Active learning Transfer learning
ISSN号0262-8856
DOI10.1016/j.imavis.2018.06.012
英文摘要Attributes are widely used in different vision tasks. However, existing attribute resources are quite limited and most of them are not in large scale. Current attribute annotation process is generally done by human, which is expensive and time-consuming. in this paper, we propose a novel framework to perform effective attribute annotations. Based on the common knowledge that attributes can be shared among different classes, we leverage the benefits of transfer learning and active learning together to transfer knowledge from some existing small attribute databases to large-scale target databases. In order to learn more robust attribute models, attribute relationships are incorporated to assist the learning process. Using the proposed framework, we conduct extensive experiments on two large-scale image databases, i.e. ImageNet and SUN Attribute, where high quality automatic attribute annotations are obtained. (C) 2018 Elsevier B.V. All rights reserved.
资助项目973 Program[201503351802] ; Natural Science Foundation of China[61390511] ; Natural Science Foundation of China[61772500] ; Frontier Science Key Research Project CAS[QYZDJ-SSW-JSC009] ; Youth Innovation Promotion Association CAS[2015085]
WOS研究方向Computer Science ; Engineering ; Optics
语种英语
WOS记录号WOS:000446143900001
出版者ELSEVIER SCIENCE BV
源URL[http://119.78.100.204/handle/2XEOYT63/4894]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Wang, Ruiping
作者单位1.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Shanghai 200050, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Jiang, Huajie,Wang, Ruiping,Li, Yan,et al. Attribute annotation on large-scale image database by active knowledge transfer[J]. IMAGE AND VISION COMPUTING,2018,78:1-13.
APA Jiang, Huajie,Wang, Ruiping,Li, Yan,Liu, Haomiao,Shan, Shiguang,&Chen, Xilin.(2018).Attribute annotation on large-scale image database by active knowledge transfer.IMAGE AND VISION COMPUTING,78,1-13.
MLA Jiang, Huajie,et al."Attribute annotation on large-scale image database by active knowledge transfer".IMAGE AND VISION COMPUTING 78(2018):1-13.

入库方式： OAI收割

来源：计算技术研究所

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