Vision Transformers have revolutionized the field of computer vision. This article explores the fundamental concepts behind ViTs, their architecture, and practical implementation strategies. We discuss how transformers adapted from NLP are now dominating image classification tasks and what this means for the future of computer vision.
Topics Covered
- Transformer architecture basics
- Vision Transformer implementation
- Performance comparisons with CNNs
- Practical deployment considerations