Munich AI Lectures - Alexei A. Efros - We are (still!) not giving Data enough credit!

For most of Computer Vision’s existence, the focus has been solidly on algorithms and models, with data treated largely as an afterthought. Only recently did the discipline finally begin to appreciate the singularly crucial role played by data, but even now we might still be underestimating it.

In this talk, Professor Alexei A. Efros from UC Berkeley will begin with some historical examples illustrating the importance of large visual data in human and computer vision. He will then share some of his recent work demonstrating the power of very simple algorithms when used with the right data, including visual in-context learning and visual data attribution.