Catching both gray and black swans: Open-set supervised anomaly detection

• Main Authors: DING, Choubo, PANG, Guansong, SHEN, Chunhua
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Anomaly detection; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/7550; https://ink.library.smu.edu.sg/context/sis_research/article/8553/viewcontent/Catching_Both_Gray_and_Black_Swans_Open_set_Supervised_Anomaly_Detection.pdf
• Institution: Singapore Management University

Despite most existing anomaly detection studies assume the availability of normal training samples only, a few labeled anomaly examples are often available in many real-world applications, such as defect samples identified during random quality inspection, lesion images confirmed by radiologists in...