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  • title: Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
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            Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
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            Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation

            Dec 6, 2021

            Speakers

            DA

            David Acuna

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            JP

            Jonah Philion

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            SF

            Sanja Fidler

            Speaker · 2 followers

            About

            Autonomous driving relies on a huge volume of real-world data to be labeled to high precision. Alternative solutions seek to exploit driving simulators that can generate large amounts of labeled data with a plethora of content variations. However, the domain gap between the synthetic and real data remains, raising the following important question: What is the optimal way to use a self-driving simulator for perception tasks in the absence of real-world labels? In this work, we build on top of rec…

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            NeurIPS 2021

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