English

A comparison of classical and variational autoencoders for anomaly detection

Computer Vision and Pattern Recognition 2020-09-30 v1

Abstract

This paper analyzes and compares a classical and a variational autoencoder in the context of anomaly detection. To better understand their architecture and functioning, describe their properties and compare their performance, it explores how they address a simple problem: reconstructing a line with a slope.

Keywords

Cite

@article{arxiv.2009.13793,
  title  = {A comparison of classical and variational autoencoders for anomaly detection},
  author = {Fabrizio Patuzzo},
  journal= {arXiv preprint arXiv:2009.13793},
  year   = {2020}
}