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Principle-centric AI with Adrien Gaidon - #575
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Future of Computer Vision? Self Supervized?
i think one of the things that we know about the world really well, asy what i'm teaching at stanford, is geometry. And so when you want to do computer vision, how do you leverage that prior knowledge? We write algorithms that solve the problem based only on our prior knowledge. Now wi'th much learning. We want to be data driven. So in self supprised learning, you're not solving directly what you want, which is dog versus cat, or detecting a pedestrian and things like that. But instead you're doing are your providing a pre training objective. In this instance, it's predict me deaf map. It can recreate a past frame by war
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