Paper Review: ConvNext or Convnets for 2020s

The idea behind this paper is that we often don't understand why a particular network works and others don't. What are the hyperparameters that should be tuned? What are the things that need to be changed in order to improve the accuracy (without modifying the architecture)? This paper investigates several approaches and develops insight on why ConvNets are still the king in computer vision? So, without further ado let's jump right into this amazing paper.