Deep Learning, Machine Learning, Self Driving Cars, TensorFlow, Unsupervised Learning.
a real (and not necessarily labelled) dataset this gap can be bridged. A generator can learn to refine synthetic data such that it’s closer to the real dataset’s distribution while maintaining the synthetic data’s annotations (i.e. it’s labels remain valid) through adversarial training. The