Vision Transformers: Redefining Attention For Medical Image Analysis
Vision Transformers (ViTs) have revolutionized the field of computer vision, offering a fresh perspective that challenges the dominance of convolutional neural networks (CNNs). By adapting the transformer architecture, initially designed for natural language processing, ViTs have achieved state-of-the-art performance in image classification and other visual tasks. This blog post delves into the workings of Vision Transformers, exploring their architecture, benefits, and practical applications, providing a comprehensive understanding of this groundbreaking Technology.
Understanding Vision Transformers
The Rise of Transformers
Transformers have fundamentally changed the landscape of natural language processing (NLP). Models like BERT and GPT demonstrated remarkable abilities in understanding...