Vision Transformers: Attention Beyond The Pixel.
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, originally designed for natural language processing, ViTs have achieved state-of-the-art performance on various image recognition tasks. This blog post provides a comprehensive overview of Vision Transformers, exploring their architecture, advantages, and practical applications, while providing actionable insights for those looking to integrate them into their projects.
What are Vision Transformers?
The Rise of Transformers in NLP
Transformers gained prominence in Natural Language Processing (NLP) due to their ability to handle long-range dependencies and parallelize computations effecti...