CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
Object-aware Deep Network for Commodity Image Retrieval
Zhiwei Fang; Jing Liu; Yuhang Wang; Yong Li; Hang Song; Jinhui Tang; Hanqing Lu
Conference NameACM International Conference in Multimedia Retrieval
Source PublicationProceedings of the 2016 ACM on International Conference on Multimedia Retrieval
Conference DateJune 6-9, 2016
Conference PlaceNew York, USA
AbstractRecent 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.
KeywordCommodity Retrieval Deep Network Object Detection
Document Type会议论文
Corresponding AuthorJing Liu
Recommended Citation
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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