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.
Patent No.:
Date of Patent:
Nov. 22, 2022
Filed:
Mar. 06, 2018
Applicant:
Adobe Inc., San Jose, CA (US);
Inventors:
Zhe Lin, Fremont, CA (US);
Yufei Wang, Mountain View, CA (US);
Xiaohui Shen, San Jose, CA (US);
Scott David Cohen, Sunnyvale, CA (US);
Jianming Zhang, Campbell, CA (US);
Assignee:
ADOBE INC., San Jose, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/10 (2017.01); G06F 16/583 (2019.01); G06N 3/04 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 3/0454 (2013.01); G06F 16/583 (2019.01); G06N 3/0481 (2013.01); G06N 20/00 (2019.01); G06T 7/10 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2210/12 (2013.01);
Abstract
Semantic segmentation techniques and systems are described that overcome the challenges of limited availability of training data to describe the potentially millions of tags that may be used to describe semantic classes in digital images. In one example, the techniques are configured to train neural networks to leverage different types of training datasets using sequential neural networks and use of vector representations to represent the different semantic classes.