Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks

Anomaly detection is important in many real-life applications. Recently, self-supervised learning has greatly helped deep anomaly detection by recognizing several geometric transformations. However these methods lack finer features, usually highly depend on the anomaly type, and do not perform well...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2023) vom: 09. Jan.
1. Verfasser:	Jezequel, Loic (VerfasserIn)
Weitere Verfasser:	Vu, Ngoc-Son, Beaudet, Jean, Histace, Aymeric
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2023
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article