The domain-specific representation is optimized through the meta-learning framework to adapt from source domains, targeting a robust generalization on unseen domains. We empirically show that mDSDI provides competitive results with state-of-the-art techniques in DG.

I already posted on one automotive panel at this year's Arm TechCon. A second I attended was a more open-ended discussion on where we're really at in autonomous driving. Most of you probably agree we've passed the peak of the hype curve and are now into the long slog of trying to connect hope to reality. There are a lot of challenges, not all technical; this panel did a good job (IMHO) of exposing some of the tough questions and acknowledging that answers are still in short supply. I left even more convinced that autonomous driving is still a hard problem needing a lot more investment and a lot more time to work through.