Logo Retrieval Using Logo Proposals and Adaptive Weighted Pooling
文献类型：期刊论文
| 作者 | Qi,Chengzuo ; Shi,Cunzhao; Wang,Chunheng; Xiao,Baihua
|
| 刊名 | IEEE Signal Processing Letters
 |
| 出版日期 | 2017-03-07 |
| 期号 | 4页码:442-445 |
| 关键词 | Adaptive Weighted Pooling Faster R-cnn Logo Retrieval |
| DOI | 10.1109/LSP.2017.2673119 |
| 英文摘要 | This letter presents a novel approach for logo re- trieval.Consideringthefactthatlogoonlyoccupiesasmallportion of an image, we apply Faster R-CNN to detect logo proposals first, and then use a two-step pooling strategy with adaptive weight to obtainanaccurateglobalsignature.Theadaptiveweightedpooling method can effectively balance the recall and precision of propos- als by incorporating the probability of each proposal being a logo. Experimentalresultsshowthattheproposedmethodinterpretsthe similarity between query and database image more accurately and achieves state of the art performance. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/19553]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qi,Chengzuo,Shi,Cunzhao,Wang,Chunheng,et al. Logo Retrieval Using Logo Proposals and Adaptive Weighted Pooling[J]. IEEE Signal Processing Letters,2017(4):442-445. |
| APA | Qi,Chengzuo,Shi,Cunzhao,Wang,Chunheng,&Xiao,Baihua.(2017).Logo Retrieval Using Logo Proposals and Adaptive Weighted Pooling.IEEE Signal Processing Letters(4),442-445. |
| MLA | Qi,Chengzuo,et al."Logo Retrieval Using Logo Proposals and Adaptive Weighted Pooling".IEEE Signal Processing Letters .4(2017):442-445. |
入库方式： OAI收割
来源：自动化研究所
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