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:
Apr. 04, 2023
Filed:
Jan. 30, 2019
Applicant:
Hrl Laboratories, Llc, Malibu, CA (US);
Inventors:
Zachary Murez, La Jolla, CA (US);
Soheil Kolouri, Calabasas, CA (US);
Kyungnam Kim, Oak Park, CA (US);
Mohammad Rostami, Santa Monica, CA (US);
Assignee:
HRL LABORATORIES, LLC, Malibu, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 3/084 (2023.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06N 20/00 (2019.01); G06T 7/0002 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract
Described is a system for adapting a deep convolutional neural network (CNN). A deep CNN is first trained on an annotated source image domain. The deep CNN is adapted to a new target image domain without requiring new annotations by determining domain agnostic features that map from the annotated source image domain and a target image domain to a joint latent space, and using the domain agnostic features to map the joint latent space to annotations for the target image domain.