1 code implementation • 21 Feb 2022 • Raoul Schönhof, Jannes Elstner, Radu Manea, Steffen Tauber, Ramez Awad, Marco F. Huber
In this work, we present a deep residual 3D autoencoder based on the EfficientNet architecture, intended for transfer learning tasks related to 3D CAD model assessment.
no code implementations • 28 Jan 2022 • Raoul Schönhof, Artem Werner, Jannes Elstner, Boldizsar Zopcsak, Ramez Awad, Marco Huber
Explainable AI methods have been used in order to assess whether a neural network has successfully learned a given task or to analyze which features of an input might lead to an adversarial attack.