Deep learning for anomaly detection: A review

• Main Authors: PANG, Guansong, SHEN, Chunhua, CAO, Longbing, Van Den HENGEL, Anton
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Anomaly detection; deep learning; outlier detection; novelty detection; one-class classification; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7016; https://ink.library.smu.edu.sg/context/sis_research/article/8019/viewcontent/3439950.pdf
• Institution: Singapore Management University

Anomaly detection, a.k.a. outlier detection or novelty detection, has been a lasting yet active research area in various research communities for several decades. There are still some unique problem complexities and challenges that require advanced approaches. In recent years, deep learning enabled...