The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 15, 2020

Filed:

Nov. 09, 2017
Applicant:

Disney Enterprises, Inc., Burbank, CA (US);

Inventors:

Leonid Sigal, Pittsburgh, PA (US);

Zuxuan Wu, College Park, MD (US);

Assignee:

Disney Enterprises, Inc., Burbank, CA (US);

Attorney:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/20 (2006.01); G06K 9/48 (2006.01); G06N 3/08 (2006.01); G06K 9/32 (2006.01); G06K 9/46 (2006.01); G06K 9/72 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G06K 9/2054 (2013.01); G06K 9/3241 (2013.01); G06K 9/4628 (2013.01); G06K 9/481 (2013.01); G06K 9/72 (2013.01); G06N 3/084 (2013.01);
Abstract

Systems, methods and articles of manufacture for training a convolutional neural network for feature recognition within digital images. A spatial context neural network is trained using a plurality of patches cropped from a plurality of digital images, the spatial context neural network comprising a first convolutional neural network configured to predict a feature representation for a first specified portion of a first digital image, a second convolutional neural network configured to compute a feature representation for a second specified portion of a second digital image, and a spatial context module that accepts output of the first and second convolutional neural networks as input. The second convolutional neural network is refined by regressing features of the second convolutional neural network to features of the first convolutional neural network. The refined second convolutional neural network is used to recognize one or more features within a third digital image.


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