Vision Transformers: A New Era Of Interpretability?
Vision Transformers (ViTs) are revolutionizing the field of computer vision, offering a compelling alternative to traditional Convolutional Neural Networks (CNNs). By adapting the transformer architecture, initially designed for natural language processing, ViTs achieve state-of-the-art performance on various image recognition tasks. This blog post will delve into the inner workings of Vision Transformers, exploring their architecture, advantages, and practical applications.
What are Vision Transformers (ViTs)?
The Transformer Revolution
Vision Transformers leverage the power of the transformer architecture, which gained prominence due to its ability to handle long-range dependencies in sequential data, particularly in natural language. Instead of processing images pixel by pixel or using ...