
Vision Transformers: Attentions Impact On Medical Image Analysis
Vision Transformers (ViTs) have revolutionized 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 (NLP), ViTs have achieved state-of-the-art performance on various image recognition tasks. This blog post delves into the intricacies of Vision Transformers, exploring their architecture, benefits, and applications, providing a comprehensive understanding of this groundbreaking technology.
Understanding the Vision Transformer Architecture
The core idea behind Vision Transformers is to treat images as sequences of patches, much like sentences are sequences of words. This allows leveraging the power of transformers, which excel at capturin...