Lessons from Computer Vision: The Underappreciated Role of Data
Alexei Efros argues for a re-evaluation of data's critical role in computer vision, demonstrating how simple algorithms combined with high-quality data can yield profound results.
Alexei Efros is a Professor of Electrical Engineering and Computer Sciences at UC Berkeley, a leading researcher in computer vision and generative models.
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