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:
Jan. 31, 2023

Filed:

May. 06, 2020
Applicant:

Dassault Systemes, Velizy-Villacoublay, FR;

Inventors:

Asma Rejeb Sfar, Velizy-Villacoublay, FR;

Mariem Mezghanni, Velizy-Villacoublay, FR;

Malika Boulkenafed, Velizy-Villacoublay, FR;

Assignee:

DASSAULT SYSTEMES, Velizy-Villacoublay, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 30/17 (2020.01); G06N 3/08 (2006.01); G06N 5/04 (2006.01); G06F 111/18 (2020.01); G06N 3/04 (2006.01); G06N 3/00 (2006.01); G06F 111/00 (2020.01); G06F 30/12 (2020.01);
U.S. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 30/17 (2020.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06F 30/12 (2020.01); G06F 2111/00 (2020.01); G06F 2111/18 (2020.01); G06N 3/008 (2013.01); G06N 3/0454 (2013.01); G06N 3/0472 (2013.01);
Abstract

A computer-implemented method of machine-learning is described that includes obtaining a dataset of virtual scenes. The dataset of virtual scenes belongs to a first domain. The method further includes obtaining a test dataset of real scenes. The test dataset belongs to a second domain. The method further includes determining a third domain. The third domain is closer to the second domain than the first domain in terms of data distributions. The method further includes learning a domain-adaptive neural network based on the third domain. The domain-adaptive neural network is a neural network configured for inference of spatially reconfigurable objects in a real scene. Such a method constitutes an improved method of machine learning with a dataset of scenes including spatially reconfigurable objects.


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