Simplified Learning of CAD Features Leveraging a Deep Residual Autoencoder

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.

Transfer Learning