CVSep 29, 2020
A comparison of classical and variational autoencoders for anomaly detection
arXiv:2009.13793v1
Originality Synthesis-oriented
AI Analysis
This is an incremental study that may interest researchers in anomaly detection methods.
The paper compared classical and variational autoencoders for anomaly detection by analyzing their architectures and performance on reconstructing a line with a slope, but it did not report any concrete numerical results.
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.