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. 20, 2022

Filed:

Mar. 12, 2020
Applicant:

Fujifilm Business Innovation Corp., Tokyo, JP;

Inventors:

Cheng Zhang, Columbus, OH (US);

Francine Chen, Menlo Park, CA (US);

Yin-Ying Chen, San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06T 3/40 (2006.01); G06N 3/08 (2006.01); G06N 20/00 (2019.01); G06T 3/60 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6268 (2013.01); G06K 9/6228 (2013.01); G06K 9/6232 (2013.01); G06K 9/6256 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 3/40 (2013.01); G06T 3/60 (2013.01);
Abstract

A method and system for classifying image features using a neural network is provided. The method includes training the neural network using triplet loss processes including receiving an anchor image, selecting a positive image and a negative image, generating a image embedding associated with each of the anchor image, the positive image, and the negative image, classifying image features extracted from the anchor image based on the image embedding of the anchor image, determining an image label location associated with the classified image features, extracting features associated with the determined image label location, and classifying the features associated with the determined image label location; and combining the multi-label loss with localized image classification loss and the triplet loss using a weighted loss sum.


Find Patent Forward Citations

Loading…