vision transformers

1. Introduction Ever for the reason that introduction of the self-attention mechanism, Transformers have been the highest alternative relating to Natural Language Processing (NLP) tasks. Self-attention-based models are highly parallelizable and require substantially fewer parameters,...

In 2017, a major change reshaped Artificial Intelligence (AI). A paper titled introduced transformers. Initially developed to reinforce language translation, these models have evolved into a sturdy framework that excels in sequence modeling,...