Rounak Mehta

Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks?

Deep learning has rapidly transformed the state of the art algorithms used to address a variety of problems in computer vision and robotics. These breakthroughs have relied upon massive amounts of human annotated training data. This time consuming process has begun impeding the progress of these dee…