.png){kind=icon}
返回
Boosting Object Retrieval With Group Queries
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2012.2216875.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Given a query image of an object, object retrieval aims to return all images from a corpus that depict the same object. Inevitably, the accuracy of the result depends strongly on the quality of the query image. Several measures have been taken to improve retrieval result quality, including the addition of a bounding box to the query, the mining of highly ranked results for more views of the object, and spatial consistency re-ranking. In this letter, we propose a discriminative criterion for improving result quality. This criterion lends itself to the addition of extra query data, and we show that multiple query images can be combined to produce enhanced results. Experiments compare the performance of the method to state-of-the-art in object retrieval, and show how performance is lifted by the inclusion of further query images.
Keyword:
Discriminative ranking function
group query
object retrieval
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
机构
引用论文
.png){kind=icon}
分享收藏A study of Drepanolejeunea subg. Rhaphidolejeunea (Herzog) Grolle & R.L. Zhu, stat. nov. (Hepaticae, Lejeuneaceae) in China with notes on its species elsewhere中国弯瓣叶亚属 Rhaphidolejeunea (Herzog) Grolle & R.L. Zhu, stat. nov. (Hepaticae, Lejeuneaceae) 的研究及其在其他地区的物种注释
PREAI
分享收藏
查看更多内容