Computer Vision News - May 2022

40 AI Research Hi everyone! This month we will review a paper writing about vision transformers! I will try to keep this article as simple as possible and to the point. I will link to the paper and other supplementary reading material at the end of the article and as always: be open, explore the original paper and create your own stories. The title of the article is Vision Transformers in Medical Computer Vision , written by Arshi Parvaiz et al from The School of Electrical Engineering and Computer Science in Islamabad, Pakistan and it introduces the readers to what a vision transformer is how’s used as a state-of-the-art approach in medical computer vision and pros and cons which are discussed in depth. One of the reasons for choosing the article this month is my own curiosity on the subject and whether it’s suitable for my own research on explainable classification neuroscience models. Are you curious? Me too! Here we will give an overview before we start reviewing the article. I hope you enjoy! Vision Transformers Vision Transformers (ViTs) are evolved as one of the most contemporary and dominant architectures that are being used in the field of computer vision. These are immensely utilized by many researchers to perform new as well as former experiments. This article investigates the intersection of Vision Transformers and Medical images as an overview of various ViTs based frameworks that are being used by different researchers in order to decipher the obstacles in Vision Transformers in Medical Computer Vision