Object-aware Deep Network for Commodity Image Retrieval
文献类型：会议论文
| 作者 | Zhiwei Fang ; Jing Liu; Yuhang Wang; Yong Li; Hang Song; Jinhui Tang; Hanqing Lu
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| 出版日期 | 2016 |
| 会议日期 | June 6-9, 2016 |
| 会议地点 | New York, USA |
| 关键词 | Commodity Retrieval Deep Network Object Detection |
| 英文摘要 | Recent years, with the development of e-commerce and population of mobile phones, image-based commodity retrieval has attracted much attention. This paper proposed a deep framework for commodity image retrieval(CMIR) from the view that they are same designed commodities. Our framework can catch as many design details as possible by exploring object detection and ranking sensitive feature learning, while the former is performed based on Faster R-CNN, and the later is learned with a multi-task Siamese Network. Besides, we refine the processing speed of the framework to make it a live system. Our framework is implemented on an android application based on Client/Server structure model whose server response time is about 150 ms per query. |
| 会议录 | Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13439]  |
| 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 | Jing Liu |
| 推荐引用方式 GB/T 7714 | Zhiwei Fang,Jing Liu,Yuhang Wang,et al. Object-aware Deep Network for Commodity Image Retrieval[C]. 见:. New York, USA. June 6-9, 2016. |
入库方式： OAI收割
来源：自动化研究所
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