no code implementations • 2 Dec 2018 • Eman T. Hassan, Xin Chen, David Crandall
The results suggest that selfensembling is better than simple data augmentation with the newly generated data and a single model trained this way can have the best performance across all different transfer tasks.
no code implementations • 29 Sep 2017 • Eman T. Hassan, David J. Crandall
We investigate Generative Adversarial Networks (GANs) to model one particular kind of image: frames from TV cartoons.