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US Patent 10289909 Conditional adaptation network for image classification

Patent 10289909 was granted and assigned to Xerox on May, 2019 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Xerox
Xerox
Current Assignee
Xerox
Xerox
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10289909
Date of Patent
May 14, 2019
Patent Application Number
15450620
Date Filed
March 6, 2017
Patent Citations Received
‌
US Patent 11321587 Domain generation via learned partial domain translations
‌
US Patent 11631236 System and method for deep labeling
4
Patent Primary Examiner
‌
Li Liu
Patent abstract

A method and apparatus for classifying an image. In one example, the method may include receiving one or more images associated with a source domain and one or more images associated with a target domain, identifying one or more source domain features based on the one or more images associated with the source domain, identifying one or more target domain features based on the one or more images associated with the target domain, training a conditional maximum mean discrepancy (CMMD) engine based on a difference between the one or more source domain features and the one or more target domain features, applying the CMMD engine to the one or more images associated with the target domain to generate one or more labels for each unlabeled target image of the one or more images associated with the target domain and classifying each one of the one or more images in the target domain using the one or more labels.

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