发明名称 DEVICES, SYSTEMS, AND METHODS FOR LEARNING A DISCRIMINANT IMAGE REPRESENTATION
摘要 Systems, devices, and methods for generating an image representation obtain a set of low-level features from an image; generate a high-dimensional generative representation of the low-level features; generate a lower-dimensional representation of the low-level features based on the high-dimensional generative representation of the low-level features; generate classifier scores based on classifiers and on one or more of the high-dimensional generative representation and the lower-dimensional representation, wherein each classifier uses the one or more of the high-dimensional generative representation and the lower-dimensional representation as an input, and wherein each classifier is associated with a respective label; and generate a combined representation for the image based on the classifier scores and the lower-dimensional representation.
申请公布号 US2015131899(A1) 申请公布日期 2015.05.14
申请号 US201314079560 申请日期 2013.11.13
申请人 CANON KABUSHIKI KAISHA 发明人 Lu Juwei;Dusberger Daruisz T.;Denney Bradley Scott
分类号 G06K9/62 主分类号 G06K9/62
代理机构 代理人
主权项 1. A method comprising: obtaining a set of low-level features from an image; generating a high-dimensional generative representation of the image based on the low-level features; generating a lower-dimensional representation of the image based on the high-dimensional generative representation of the image; generating classifier scores based on classifiers and on one or more of the high-dimensional generative representation and the lower-dimensional representation, wherein each classifier uses the one or more of the high-dimensional generative representation and the lower-dimensional representation as an input, and wherein each classifier is associated with a respective category; and generating a combined representation for the image based on the classifier scores and the lower-dimensional representation.
地址 Tokyo JP