CNNs vs Vision Transformers: A Paradigm Shift

This chapter explores key differences in representation structures between Convolutional Neural Networks and Vision Transformers within computer vision tasks. It emphasizes the evolutionary journey of AI architectures, transitioning from CNNs rooted in human perception to the innovative discovery of transformers. Additionally, the conversation addresses ethical implications in AI, particularly in clinical settings, highlighting the importance of documenting AI model practices for reliability and fairness.