DualAD: Dual adversarial network for image anomaly detection
Anomaly Detection, also known as outlier detection, is critical in domains such as network security, intrusion detection, and fraud detection. One popular approach to anomaly detection is using autoencoders, which are trained to reconstruct input by minimising reconstruction error with the neural ne...
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Veröffentlicht in: | IET computer vision 2024-06 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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