Feb. 27, 2024, 12:50 a.m. | Skylar Jean Callis

Towards Data Science - Medium towardsdatascience.com

Vision Transformers Explained Series

A Full Walk-Through of the Tokens-to-Token Vision Transformer, and Why It’s Better than the Original

Since their introduction in 2017 with Attention is All You Need¹, transformers have established themselves as the state of the art for natural language processing (NLP). In 2021, An Image is Worth 16x16 Words² successfully adapted transformers for computer vision tasks. Since then, numerous transformer-based architectures have been proposed for computer vision.

In 2021, Tokens-to-Token ViT: Training Vision …

attention computer vision machine learning transformers vision-transformer

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