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This paper addresses the problem of large scale image retrieval, with the aim of accurately ranking the similarity of a large number of images to a given query image.
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G. Tolias, R. Sicre, and H. Jégou · 2015
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R. Arandjelović, P. Gronat, A. Torii, T. Pajdla, and J. Sivic · 2016
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Deep Image Retrieval: Learning Global Representations for Image Search
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Improving large-scale image retrieval through robust aggregation of local descriptors
S. S. Husain and M. Bober · 2016
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CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
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F. Radenović, G. Tolias, and O. Chum · 2016
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