COFT-AD : COntrastive Fine-Tuning for Few-Shot Anomaly Detection

Existing approaches towards anomaly detection (AD) often rely on a substantial amount of anomaly-free data to train representation and density models. However, large anomaly-free datasets may not always be available before the inference stage; in which case an anomaly detection model must be trained...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 18., Seite 2090-2103
1. Verfasser:	Liao, Jingyi (VerfasserIn)
Weitere Verfasser:	Xu, Xun, Nguyen, Manh Cuong, Goodge, Adam, Foo, Chuan Sheng
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article