Object-aware Deep Network for Commodity Image Retrieval

	Object-aware Deep Network for Commodity Image Retrieval
	Zhiwei Fang; Jing Liu; Yuhang Wang; Yong Li; Hang Song; Jinhui Tang; Hanqing Lu
	2016
会议名称	ACM International Conference in Multimedia Retrieval
会议录名称	Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval
会议日期	June 6-9, 2016
会议地点	New York, USA
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.
关键词	Commodity Retrieval Deep Network Object Detection
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13439
专题	紫东太初大模型研究中心_图像与视频分析
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],2016.

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