Tag: Vision Transformers: Seeing

Vision Transformers (ViTs) are revolutionizing the field of computer vision, offering a novel approach to image recognition and analysis by leveraging the power of the transformer architecture, originally developed for natural language processing (NLP). Imagine treating an image not as a grid of pixels, but as a sequence of words. This is the core idea behind ViTs, and it's proving to be incredibly effective, often surpassing the performance of traditional convolutional neural networks (CNNs) on various image classification tasks. This blog post dives deep into the world of Vision Transformers, exploring their architecture, advantages, and applications. What are Vision Transformers? The Core Concept: From Pixels to Patches Vision Transformers treat images as sequences of image patches, muc...