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. 16, 2021

Filed:

Jul. 18, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Aaron K. Baughman, Cary, NC (US);

Gopal Sarma Pingali, Bangalore, IN;

Maria del Pilar Belinchon Ballesta, Madrid, ES;

Craig M. Trim, Ventura, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2006.01); G06F 17/15 (2006.01); G06F 17/18 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00624 (2013.01); G06F 17/15 (2013.01); G06F 17/18 (2013.01); G06K 9/6267 (2013.01); G06N 3/0472 (2013.01); G06N 3/08 (2013.01);
Abstract

Methods and systems for visually focused first-person neural network interpretation are disclosed. A method includes: receiving, by a computing device, an image; determining, by the computing device, feature vectors from the image; determining, by the computing device, a first padding value and a first stride value by inputting the feature vectors into a deep neural network; determining, by the computing device, a second padding value and a second stride value by inputting the feature vectors into at least one multiple regression model; determining, by the computing device, padding by averaging the first padding value and the second padding value; determining, by the computing device, stride by averaging the first stride value and the second stride value; and classifying, by the computing device, the image using a convolutional neural network using the padding and the stride.


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