Logo Retrieval Using Logo Proposals and Adaptive Weighted Pooling
Qi,Chengzuo; Shi,Cunzhao; Wang,Chunheng; Xiao,Baihua
Source PublicationIEEE Signal Processing Letters
2017-03-07
Issue4Pages:442-445
AbstractThis 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.
KeywordAdaptive Weighted Pooling Faster R-cnn Logo Retrieval
DOI10.1109/LSP.2017.2673119
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19553
Collection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
AffiliationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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.
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