Learning Multi-view Deep Features for Small Object Retrieval in Surveillance Scenarios | |
Haiyun Guo1; Jinqiao Wang1; Min Xu2; Zheng-jun Zha3; Hanqing Lu1 | |
2015 | |
会议日期 | 2015.10.26-30 |
会议地点 | Australia, Brisbane |
关键词 | Object Retrieval |
英文摘要 | Learning Multi-view Deep Features for Small Object Retrieval in Surveillance Scenarios |
会议录 | ACM Multimedia |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/12449] |
专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
通讯作者 | Jinqiao Wang |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.GBDTC, School of Computing and Communications, University of Technology, Sydney, Australia 3.Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China |
推荐引用方式 GB/T 7714 | Haiyun Guo,Jinqiao Wang,Min Xu,et al. Learning Multi-view Deep Features for Small Object Retrieval in Surveillance Scenarios[C]. 见:. Australia, Brisbane. 2015.10.26-30. |
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