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:
Nov. 05, 2019

Filed:

Jul. 14, 2017
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Dominik Roblek, Meilen, CH;

Christian Szegedy, Mountain View, CA (US);

Jacek Slawosz Jurewicz, Zurich, CH;

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/32 (2006.01); G06T 7/11 (2017.01); G06K 9/46 (2006.01); G06K 9/66 (2006.01); G06N 3/08 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06K 9/3241 (2013.01); G06K 9/4628 (2013.01); G06K 9/6271 (2013.01); G06K 9/66 (2013.01); G06N 3/08 (2013.01); G06T 7/11 (2017.01);
Abstract

Systems, methods, and apparatus, including computer programs encoded on a computer storage medium. In one aspect, a system includes initial neural network layers configured to: receive an input image, and process the input image to generate a plurality of first feature maps that characterize the input image; a location generating convolutional neural network layer configured to perform a convolution on the representation of the first plurality of feature maps to generate data defining a respective location of each of a predetermined number of bounding boxes in the input image, wherein each bounding box identifies a respective first region of the input image; and a confidence score generating convolutional neural network layer configured to perform a convolution on the representation of the first plurality of feature maps to generate a confidence score for each of the predetermined number of bounding boxes in the input image.


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