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US Patent 9928448 Image classification utilizing semantic relationships in a classification hierarchy

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9928448
Patent Inventor Names
Hui Wu0
John R. Smith0
Michele Merler0
Rosario A. Uceda-Sosa0
Date of Patent
March 27, 2018
Patent Application Number
15273872
Date Filed
September 23, 2016
Patent Citations Received
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US Patent 11836612 Maintaining master data using hierarchical classification
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US Patent 12008799 Classification system and learning system
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US Patent 11861528 Infringement detection system
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US Patent 11704926 Parallel prediction of multiple image aspects
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US Patent 11875250 Deep neural networks with semantically weighted loss functions
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US Patent 11995537 Training network with batches of input instances
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Patent Primary Examiner
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Atiba O Fitzpatrick
Patent abstract

A method includes utilizing two or more classifiers to calculate, for an input image, probability scores for a plurality of classes based on visual information extracted from the input image and semantic relationships in a classification hierarchy, wherein each of the two or more classifiers is associated with a given one of two or more levels in the classification hierarchy with each level in the classification hierarchy comprising a subset of the plurality of classes, and classifying the input image based on the calculated probability scores.

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