Effective Multi-query Expansions Collaborative Deep Networks For Robust Landmark Retrieval
Wang Yang, Lin Xuemin, Wu Lin, Zhang Wenjie. Arxiv 2017
[Paper]
ARXIV
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Given a query photo issued by a user (q-user), the landmark retrieval is to
return a set of photos with their landmarks similar to those of the query,
while the existing studies on the landmark retrieval focus on exploiting
geometries of landmarks for similarity matches between candidate photos and a
query photo. We observe that the same landmarks provided by different users
over social media community may convey different geometry information depending
on the viewpoints and/or angles, and may subsequently yield very different
results. In fact, dealing with the landmarks with \illshapes caused by the
photography of q-users is often nontrivial and has seldom been studied. In this
paper we propose a novel framework, namely multi-query expansions, to retrieve
semantically robust landmarks by two steps. Firstly, we identify the top-
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