Transformers were originally designed for natural language processing but their application to other domains is rapidly gaining traction. In computer vision, convolution neural networks (CNNs) are the traditional choice of deep learning framework for image recognition tasks. Recently, Vision Transformers (ViTs) have been created a new benchmark by...

Convolution neural networks (CNNs) have made tremendous progress in various image processing fields like object recognition, segmentation, etc. This progress is primarily a result of supervised training on labeled data. The features learned by such a network are highly transferable and can be used for similar tasks. However, labeling a dataset is...