Do vision transformers see like convolutional neural networks?

The article poses a research question comparing the visual processing of Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs). The core inquiry is whether these two architectures, which approach image analysis differently, perceive and interpret visual information in similar ways. This is a fundamental question in understanding the inner workings and potential biases of these AI models.