Open AccessOn learning deep domain-invariant features from 2D synthetic images for industrial visual inspection
Author(s) -
Abdelrahman G. Abubakr,
Igor Jovančević,
Nour Islam Mokhtari,
Hamdi Ben Abdallah,
JeanJosé Orteu
Publication year - 2021
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1117/12.2589040
Subject(s) - computer science , artificial intelligence , deep learning , autoencoder , rendering (computer graphics) , convolutional neural network , synthetic data , rgb color model , visualization , computer vision , domain (mathematical analysis) , encoder , pattern recognition (psychology) , machine learning , mathematical analysis , mathematics , operating system
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