Summary
The document provides a comprehensive overview of capsule networks, an alternative approach to Convolutional Neural Networks for learning object-centric representations. It covers the motivations behind capsule networks, technical advances, applications in various fields such as computer vision and natural language processing, and discusses open challenges and future research directions. The survey aims to be a valuable resource for the deep learning community.