Attention for Vision Transformers, Explained

Vision Transformers Explained Series

The Math and the Code Behind Attention Layers in Computer Vision

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.

This article takes an in-depth look to how an attention layer …

attention-mechanism computer vision machine learning transformers vision-transformer