Schadensübertragungsverfahren mit Bereichsbasiertem Gegnerischem Lernen

Details

Veröffentlichungs-Nr.

EP4181078

Aktenzeichen

EP22203704

Anmeldetag

26. Oktober 2022

Veröffentlichung

17. Mai 2023

Rechtsraum

EP

IPC

G06V10/774G06V10/82

Abstract

Example implementations involve systems and methods to create robust visual inspection datasets and models. The novel method learns and transfers damage representation from few samples to new images. The proposed method introduces a generative region-of-interest based adversarial network with the aim of learning a common damage representation and transferring it to an unseen image. The proposed approach shows the benefit of adding damage-region-based component, since existing methods fail to transfer the damages. The proposed method successfully generated images with variations in context and conditions to improve model generalization for small datasets.

Anmelder

Firma

Hitachi, Ltd.

Land

🇯🇵 Japan

Fachgebiete