Detecting unregistered users through semi-supervised anomaly detection with similarity datasets
Abstract Recent research has focused on exploring systems that incorporate anomaly detection models to automate the addition of users in user recognition systems. Anomaly detection, a method used to distinguish between new and existing users by identifying abnormal images, has gained significant att...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-06-01
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Series: | Journal of Big Data |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40537-023-00791-8 |