Experience learning in virtual world

Abstract

The invention notably relates to a computer-implemented method of machine-learning. The method comprises providing a dataset of virtual scenes. The dataset of virtual scenes belongs to a first domain.The method further comprises providing a test dataset of real scenes. The test dataset belongs to a second domain. The method further comprises determining a third domain. The third domain is closerto the second domain than the first domain in terms of data distributions. The method further comprises learning a domain-adaptive neural network based on the third domain. The domain-adaptive neuralnetwork 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 comprising spatially reconfigurable objects.

Description

technical field [0001] The present disclosure relates to the field of computer programs and systems, and more particularly to methods, systems and programs for machine learning with datasets of scenes including spatially reconfigurable objects. Background technique [0002] Many systems and programs for the design, engineering and manufacture of objects are available on the market. CAD is an acronym for Computer Aided Design, as it relates to software solutions for designing objects. CAE is an acronym for Computer Aided Engineering, as it relates to software solutions for simulating the physical behavior of future products. CAM is an acronym for Computer Aided Manufacturing, as it relates to software solutions for defining manufacturing processes and operations. In this CAD system, GUI plays an important role in technical efficiency. These technologies may be embedded within a Product Lifecycle Management (PLM) system. PLM refers to a business strategy that helps compani...

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Problems solved by technology

The test dataset belongs to the second domain

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