Object Localization Based on Proposal Fusion
文献类型：期刊论文
| 作者 | Tang, Sheng1,2; Li, Yu1,2; Deng, Lixi1,2; Zhang, Yongdong1,2 |
| 刊名 | IEEE TRANSACTIONS ON MULTIMEDIA
 |
| 出版日期 | 2017-09-01 |
| 卷号 | 19期号:9页码:2105-2116 |
| 关键词 | Dense proposal fusion object localization object detection region proposal |
| ISSN号 | 1520-9210 |
| DOI | 10.1109/TMM.2017.2729786 |
| 英文摘要 | Traditional regression framework of object localization such as Overfeat often suffers from the problem of inaccurate scoring due to the separate scoring of classification network and regression network upon inconsistent regions. To tackle this problem, in this paper, we propose a novel object localization framework based on multiple complementary region proposal methods from the view of classification rather than regression. On top of our framework, we first combine multiple complementary region proposals during both training and testing as a means of data augmentation to generate more dense and reliable proposals for fusion, then achieve optimal compromise between complexity and efficiency through category clustering for bounding box sharing among similar categories, and finally propose a dense proposal fusion approach to merge dense region proposals near true object for fine-tuning of the final bounding box's coordinates and updating the confidence of fused proposals for final decision. Extensive experiments on the well-known large scale ILSVRC 2015 LOC dataset verify the effectiveness of our object localization framework. |
| 资助项目 | National Natural Science Foundation of China[61525206] ; National Natural Science Foundation of China[61572472] ; National Key Research and Development Program of China[2016YFB0800403] ; Beijing Natural Science Foundation[4152050] ; Beijing Advanced Innovation Center for Imaging Technology[BAICIT-2016009] |
| WOS研究方向 | Computer Science ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000411244200013 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/6813]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Zhang, Yongdong |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tang, Sheng,Li, Yu,Deng, Lixi,et al. Object Localization Based on Proposal Fusion[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2017,19(9):2105-2116. |
| APA | Tang, Sheng,Li, Yu,Deng, Lixi,&Zhang, Yongdong.(2017).Object Localization Based on Proposal Fusion.IEEE TRANSACTIONS ON MULTIMEDIA,19(9),2105-2116. |
| MLA | Tang, Sheng,et al."Object Localization Based on Proposal Fusion".IEEE TRANSACTIONS ON MULTIMEDIA 19.9(2017):2105-2116. |
入库方式： OAI收割
来源：计算技术研究所
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