Explainable deep few-shot anomaly detection with deviation networks

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...

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Bibliographic Details
Main Authors: PANG, Guansong, DING, Choubo, SHEN, Chunhua, HENGEL, Anton Van Den
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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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
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Institution: Singapore Management University
Language: English

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