细粒度图像相似性

Fine-grained image similarity

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.
用于确定细粒度图像相似性的方法、系统和装置。在一个方面,一种方法包括:通过选择第一、第二和第三图像的图像三元组来在图像三元组上训练图像嵌入函数;由所述图像嵌入函数生成所述第一、第二和第三图像的特征的第一、第二和第三表示;基于所述特征的第一表示和所述特征的第二表示,确定所述第一图像对所述第二图像的第一相似性度量;基于所述特征的第一表示和所述特征的第三表示,确定所述第一图像对所述第三图像的第二相似性度量;基于所述第一和第二相似性度量确定所述图像三元组的图像嵌入函数的性能度量;以及基于所述图像三元组的性能度量来调整所述图像嵌入函数的参数权重。

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