Learning With Capsules: A Survey

By Fabio De Sousa Ribeiro et al
Read the original document by opening this link in a new tab.

Table of Contents

1 Introduction
2 Background & Motivation
3 Capsule Network Foundations

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.
×
This is where the content will go.