A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images

1 code implementation • 20 Jul 2021 • Vincent Wilmet, Sauraj Verma, Tabea Redl, Håkon Sandaker, Zhenning Li

Anomaly detection in images plays a significant role for many applications across all industries, such as disease diagnosis in healthcare or quality assurance in manufacturing.

Supervised Anomaly Detection