Web: http://arxiv.org/abs/2205.05173

May 12, 2022, 1:11 a.m. | Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard

cs.LG updates on arXiv.org arxiv.org

Over the past few years, anomaly detection, a subfield of machine learning
that is mainly concerned with the detection of rare events, witnessed an
immense improvement following the unprecedented growth of deep learning models.
Recently, the emergence of self-supervised learning has sparked the development
of new anomaly detection algorithms that surpassed state-of-the-art accuracy by
a significant margin. This paper aims to review the current approaches in
self-supervised anomaly detection. We present technical details of the common
approaches and discuss their …

anomaly detection arxiv detection survey

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