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:
May. 07, 2024

Filed:

May. 06, 2020
Applicant:

Dassault Systemes, Velizy-Villacoublay, FR;

Inventors:

Asma Rejeb Sfar, Velizy-Villacoublay, FR;

Malika Boulkenafed, Velizy-Villacoublay, FR;

Mariem Mezghanni, Velizy-Villacoublay, FR;

Assignee:

DASSAULT SYSTEMES, Velizy-Villacoublay, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 18/25 (2023.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 18/25 (2023.01); G06N 3/04 (2013.01);
Abstract

A computer-implemented method of machine-learning is described that includes obtaining a test dataset of scenes. The test dataset belongs to a test domain. The method includes obtaining a domain-adaptive neural network. The domain-adaptive neural network is a machine-learned neural network taught using data obtained from a training domain. The domain-adaptive neural network is configured for inference of spatially reconfigurable objects in a scene of the test domain. The method further includes determining an intermediary domain. The intermediary domain is closer to the training domain than the test domain in terms of data distributions. The method further includes inferring, by applying the domain-adaptive neural network, a spatially reconfigurable object from a scene of the test domain transferred on the intermediary domain. Such a method constitutes an improved method of machine learning with a dataset of scenes comprising spatially reconfigurable objects.


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