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an-image-is-worth-16x16-words-transformers-for-image-recognition-at-scale-2023-015

Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil HoulsbyUFTAN UNIVERSITYComputer Engineering2023

Abstract

This record links to the Vision Transformer paper, which adapts transformer architectures to image classification through patch-based image representation. It is useful for validating computer vision categories and AI search relevance.

Metadata

Author
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
Supervisor
Dr. Oluwatobi J. Fashola
Faculty
Engineering
Department
Computer Engineering
Document type
Masters Thesis
Year
2023
Keywords
vision transformer, image recognition, patch embeddings, computer vision, transformer models
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Source fields used: Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
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