Lessons from Computer Vision: The Underappreciated Role of Data

Name: Lessons from Computer Vision: The Underappreciated Role of Data
Uploaded: 2024-06-13T11:15:09.000Z
Duration: 1 h 31 min 23 s
Channel: Alexei Efros
Description: 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…

Alexei Efros

UC Berkeley·Alexei Efros

1:31:23

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Lessons from Computer Vision: The Underappreciated Role of Data

Alexei Efros UC Berkeley

1:31:23·2024·graduate·Research Seminar

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.

LESSONS FROM COMPUTER VISION: WE ARE (STILL!) NOT GIVING DATA ENOUGH CREDIT

AI & ML Computer Vision & Graphics Language Models & NLP Large Language Models (LLMs)Convolutional Networks & Vision Data-Centric AI Visual Perception

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Alexei Efros

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Professor of Electrical Engineering and Computer Sciences at UC Berkeley

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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