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Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting
Ren, Weiqiang1,2; Huang, Kaiqi1,2; Tao, Dacheng3,4; Tan, Tieniu1,2
2016-02-01
发表期刊IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
卷号38期号:2页码:405-416
文章类型Article
摘要Localizing objects of interest in images when provided with only image-level labels is a challenging visual recognition task. Previous efforts have required carefully designed features and have difficulty in handling images with cluttered backgrounds. Up-scaling to large datasets also poses a challenge to applying these methods to real applications. In this paper, we propose an efficient and effective learning framework called MILinear, which is able to learn an object localization model from large-scale data without using bounding box annotations. We integrate rich general prior knowledge into a learning model using a large pre-trained convolutional network. Moreover, to reduce ambiguity in positive images, we present a bag-splitting algorithm that iteratively generates new negative bags from positive ones. We evaluate the proposed approach on the challenging Pascal VOC 2007 dataset, and our method outperforms other state-of-the-art methods by a large margin; some results are even comparable to fully supervised models trained with bounding box annotations. To further demonstrate scalability, we also present detection results on the ILSVRC 2013 detection dataset, and our method outperforms supervised deformable part-based model without using box annotations.
关键词Weakly Supervised Localization Convolutional Networks Multiple Instance Learning
WOS标题词Science & Technology ; Technology
DOI10.1109/TPAMI.2015.2456908
收录类别SCI
语种英语
项目资助者National Basic Research Program of China(2012CB316302) ; National Natural Science Foundation of China(61322209 ; China Scholarship Council ; Australian Research Council(DP-140102164 ; 61175007) ; FT-130101457)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000369989600016
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11342
专题智能感知与计算研究中心
作者单位1.Chinese Acad Sci CASIA, Ctr Res Intelligent Percept & Comp CRIPAC, 95 ZhongGuanCun East St, Beijing 100190, Peoples R China
2.Chinese Acad Sci CASIA, Inst Automat, Natl Lab Pattern Recognit NLPR, 95 ZhongGuanCun East St, Beijing 100190, Peoples R China
3.Univ Technol Sydney, Ctr Quantum Computat & Intelligent Syst, 81 Broadway St, Ultimo, NSW 2007, Australia
4.Univ Technol Sydney, Fac Engn & Informat Technol, 81 Broadway St, Ultimo, NSW 2007, Australia
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GB/T 7714
Ren, Weiqiang,Huang, Kaiqi,Tao, Dacheng,et al. Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2016,38(2):405-416.
APA Ren, Weiqiang,Huang, Kaiqi,Tao, Dacheng,&Tan, Tieniu.(2016).Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,38(2),405-416.
MLA Ren, Weiqiang,et al."Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 38.2(2016):405-416.
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