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Stanford Seminar 2022 - Transformers in Vision: Tackling Problems in Computer Vision

Offered By: Stanford University via YouTube

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Transformers Courses Artificial Intelligence Courses Machine Learning Courses Computer Vision Courses

Course Description

Overview

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Explore the application of transformers in Computer Vision through this Stanford seminar featuring Lucas Beyer, a researcher at Google Brain. Delve into various approaches for leveraging transformer architectures to address challenges in the field of Computer Vision. Learn from Beyer's diverse background, which spans from video game AI aspirations to mechanical engineering and robotic perception. Gain insights into cutting-edge representation learning techniques as Beyer shares his expertise acquired during his time at RWTH Aachen and Google Brain in Zürich. This comprehensive talk, part of a larger guest lecture series, offers valuable knowledge for those interested in the intersection of transformer models and visual perception tasks.

Syllabus

CS25 I Stanford Seminar 2022 - Transformers in Vision: Tackling problems in Computer Vision


Taught by

Stanford Online

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