Vision Transformers: Unlocking Multi-Scale Image Understanding
Vision Transformers (ViTs) are revolutionizing the field of computer vision, offering a fresh perspective on how images are processed and understood by machines. Abandoning the traditional reliance on convolutional neural networks (CNNs), ViTs leverage the transformer architecture, originally developed for natural language processing (NLP), to achieve state-of-the-art results on a variety of image recognition tasks. This blog post dives deep into the world of Vision Transformers, exploring their architecture, advantages, applications, and future potential.
The Rise of Vision Transformers: A Paradigm Shift
From CNNs to Transformers: A New Approach
For years, Convolutional Neural Networks (CNNs) have been the dominant force in computer vision. CNNs excel at extracting local features from ima...