基于查询自适应的图像搜索与人物再识别后期融合

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Pub Date : 2015-06-07 DOI:10.1109/CVPR.2015.7298783

Liang Zheng, Shengjin Wang, Lu Tian, Fei He, Ziqiong Liu, Q. Tian

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引用次数: 296

摘要

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。

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

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.

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2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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