Hey, Siri, I bet you can't figure out what's in this picture!Apple's AI team publishes their first academic paper on adversarial training.
Artificial Intelligence (AI) researchers at Apple have published their first paper. Called 'Learning from Simulated and Unsupervised Images through Adversarial Training', it was submitted on December 22, and credited to Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russ Webb.
The Cornell University Library, via MacRumors:
With recent progress in graphics, it has become more tractable to train models on synthetic images, potentially avoiding the need for expensive annotations. However, learning from synthetic images may not achieve the desired performance due to a gap between synthetic and real image distributions. To reduce this gap, we propose Simulated+Unsupervised (S+U) learning, where the task is to learn a model to improve the realism of a simulator's output using unlabeled real data, while preserving the annotation information from the simulator. We develop a method ...
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Hey, Siri, I bet you can't figure out what's in this picture!
