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FSOME++: Improving Few-Shot Anomaly Detection via Abnormal Sample Augmentation

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Industrial Electronics (ISIE)

DOI: 10.1109/isie62713.2025.11124747

Authors: Atefeh Gilvari, Rajeev Verma, Nasrin Tavakoli, Narayan C. Kar, Ziad Kobti

Institutions: University of Windsor, Magna International (United States)

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Natural Sciences and Engineering Research Council of Canada

Award: G2366597371

OpenAlex ID: W4413513782

FWCI: 0.991

Cites: 15

Cited by: 1

Related to: 10