Tag: Vision Transformers: Unveiling

Vision Transformers (ViTs) are revolutionizing the field of computer vision, offering a compelling alternative to Convolutional Neural Networks (CNNs). By adapting the transformer architecture, originally designed for natural language processing, ViTs are achieving state-of-the-art results in image classification, object detection, and semantic segmentation. This blog post delves into the architecture, benefits, and practical applications of Vision Transformers, providing a comprehensive overview for anyone interested in exploring this exciting technology. Understanding the Architecture of Vision Transformers The Transformer Foundation The core of ViTs lies in the transformer architecture, which gained prominence in NLP due to its ability to handle long-range dependencies and parallel proc...