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

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 1741 - 1750
Issue Date:
2015
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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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