| Weakly Supervised Multilabel Clustering and its Applications in Computer Vision | |
| Xia, Yingjie1; Nie, Liqiang2; Zhang, Luming3; Yang, Yi4; Hong, Richang3; Li, Xuelong5; Xia, YJ (reprint author), Zhejiang Univ, Coll Comp Sci, Hangzhou 310027, Zhejiang, Peoples R China. | |
| 作者部门 | 光学影像学习与分析中心 |
| 2016-12-01 | |
| 发表期刊 | IEEE Transactions on Cybernetics
 |
| ISSN | 2168-2267 |
| 卷号 | 46期号:12页码:3220-3232 |
| 产权排序 | 5 |
| 摘要 | Clustering is a useful statistical tool in computer vision and machine learning. It is generally accepted that introducing supervised information brings remarkable performance improvement to clustering. However, assigning accurate labels is expensive when the amount of training data is huge. Existing supervised clustering methods handle this problem by transferring the bag-level labels into the instance-level descriptors. However, the assumption that each bag has a single label limits the application scope seriously. In this paper, we propose weakly supervised multilabel clustering, which allows assigning multiple labels to a bag. Based on this, the instance-level descriptors can be clustered with the guidance of bag-level labels. The key technique is a weakly supervised random forest that infers the model parameters. Thereby, a deterministic annealing strategy is developed to optimize the nonconvex objective function. The proposed algorithm is efficient in both the training and the testing stages. We apply it to three popular computer vision tasks: 1) image clustering; 2) semantic image segmentation; and 3) multiple objects localization. Impressive performance on the state-of-the-art image data sets is achieved in our experiments. |
| 文章类型 | Article |
| 关键词 | Annealing Clustering Computer Vision Multilabel Semantic Weakly Supervised |
| 学科领域 | Computer Science, Artificial Intelligence |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TCYB.2015.2501385 |
| 收录类别 | SCI |
| 关键词[WOS] | IMAGE SEGMENTATION ; ACTION RECOGNITION ; CLASSIFICATION ; SCALE |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| 项目资助者 | National Natural Science Foundation of China(61472113 ; Zhejiang Provincial Natural Science Foundation of China(LZ13F020004 ; 61304188) ; LR14F020003) |
| WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS记录号 | WOS:000388923100043 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/28560 |
| 专题 | 光谱成像技术研究室 |
| 通讯作者 | Xia, YJ (reprint author), Zhejiang Univ, Coll Comp Sci, Hangzhou 310027, Zhejiang, Peoples R China. |
| 作者单位 | 1.Zhejiang Univ, Coll Comp Sci, Hangzhou 310027, Zhejiang, Peoples R China 2.Shandong Univ, Sch Comp Sci & Technol, Jinan 250100, Peoples R China 3.Hefei Univ Technol, Dept Comp Sci & Informat Engn, Hefei 230009, Peoples R China 4.Univ Technol Sydney, Ctr Quantum Computat & Intelligent Syst, Ultimo, NSW 123, Australia 5.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPTical IMagery Anal & Learning, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xia, Yingjie,Nie, Liqiang,Zhang, Luming,et al. Weakly Supervised Multilabel Clustering and its Applications in Computer Vision[J]. IEEE Transactions on Cybernetics,2016,46(12):3220-3232. |
| APA | Xia, Yingjie.,Nie, Liqiang.,Zhang, Luming.,Yang, Yi.,Hong, Richang.,...&Xia, YJ .(2016).Weakly Supervised Multilabel Clustering and its Applications in Computer Vision.IEEE Transactions on Cybernetics,46(12),3220-3232. |
| MLA | Xia, Yingjie,et al."Weakly Supervised Multilabel Clustering and its Applications in Computer Vision".IEEE Transactions on Cybernetics 46.12(2016):3220-3232. |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Weakly Supervised Mu（2055KB） | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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