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

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.CV2021★ 4 cited

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

Vincent Wilmet, Sauraj Verma, Tabea Redl +2

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. Man…