FINE-GRAINED IMAGE SIMILARITY
    1.
    发明申请

    公开(公告)号:US20170243082A1

    公开(公告)日:2017-08-24

    申请号:US15504870

    申请日:2015-06-19

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, for determining fine-grained image similarity. In one aspect, a method includes training an image embedding function on image triplets by selecting image triplets of first, second and third images; generating, by the image embedding function, a first, second and third representations of the features of the first, second and third images; determining, based on the first representation of features and the second representation of features, a first similarity measure for the first image to the second image; determining, based on the first representation of features and the third representation of features, a second similarity measure for the first image to the third image; determining, based on the first and second similarity measures, a performance measure of the image embedding function for the image triplet; and adjusting the parameter weights of the image embedding function based on the performance measures for the image triplets.

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