Improved-Human-Pose-Estimation-through-Adversarial-Data-Augmentation

Deep models are usually trained in a two-phase paradigm, where data collection and network training are separated. This may not be efficient since data collection is blind to network training.

IMPROVING GANS USING OPTIMAL TRANSPORT

We present Optimal Transport GAN (OT-GAN), a variant of generative adversarial nets minimizing a new metric measuring the distance between the generator distribution and the data distribution