Improved Part Segmentation Performance by Optimising Realism of Synthetic Images using Cycle Generative Adversarial Networks

no code implementations • 16 Mar 2018 • Ruud Barth, Jochen Hemming, Eldert J. van Henten

We hypothesised that the translated images can be used for (i) improved learning of empirical images, and (ii) that learning without any fine-tuning with empirical images is improved by bootstrapping with translated images over bootstrapping with synthetic images.

Generative Adversarial Network Translation