Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset

Xiaomeng Zhu, Talha Bilal, Pär Mårtensson +3

This paper is about effectively utilizing synthetic data for training deep neural networks for industrial parts classification, in particular, by taking into account the domain gap…