Explainable deep few-shot anomaly detection with deviation networks

• Main Authors: PANG, Guansong, DING, Choubo, SHEN, Chunhua, HENGEL, Anton Van Den
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Artificial Intelligence and Robotics; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/7036; https://ink.library.smu.edu.sg/context/sis_research/article/8039/viewcontent/2108.00462.pdf
• Institution: Singapore Management University

Existing anomaly detection paradigms overwhelmingly focus on training detection models using exclusively normal data or unlabeled data (mostly normal samples). One notorious issue with these approaches is that they are weak in discriminating anomalies from normal samples due to the lack of the knowl...