Query-adaptive late fusion for image search and person re-identification

Liang Zheng, Shengjin Wang, Lu Tian, Fei He, Ziqiong Liu, Q. Tian
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引用次数: 296

Abstract

Feature fusion has been proven effective [35, 36] in image search. Typically, it is assumed that the to-be-fused heterogeneous features work well by themselves for the query. However, in a more realistic situation, one does not know in advance whether a feature is effective or not for a given query. As a result, it is of great importance to identify feature effectiveness in a query-adaptive manner.
基于查询自适应的图像搜索与人物再识别后期融合
特征融合在图像搜索中被证明是有效的[35,36]。通常,假设要融合的异构特性本身可以很好地用于查询。然而,在更现实的情况下,人们无法事先知道某个特性对给定查询是否有效。因此,以一种自适应查询的方式来识别特征的有效性是非常重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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