The self-attention-based transformer model was first introduced by Vaswani et al. in their paper Attention Is All You Need in 2017 and has been widely used in natural language processing. A ...

First, similar to how the Transformer works, the Vision Transformer is supervised, meaning the model is trained on a dataset of images and their corresponding labels. Convert the patch into a vector ...

In the last decade, convolutional neural networks (CNNs) have been the go-to architecture in computer vision, owing to their powerful capability in learning representations from images/videos.