Weakly-supervised deep anomaly detection with pairwise relation learning

• Main Authors: PANG, Guansong, HENGEL, Anton Van Den, SHEN, Chuanhua
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7025; https://ink.library.smu.edu.sg/context/sis_research/article/8028/viewcontent/1910.13601v1.pdf
• Institution: Singapore Management University

This paper studies a rarely explored but critical anomaly detection problem: weakly-supervised anomaly detection with limited labeled anomalies and a large unlabeled data set. This problem is very important because it (i) enables anomalyinformed modeling which helps identify anomalies of interests a...