Detection AUROC: 98.3Segmentation AUROC: 98.0
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Multi-class Anomaly Detection
Multi-class Anomaly Detection is a task that identifies anomalies by jointly learning and detecting outliers across multiple classes, in contrast to traditional Anomaly Detection, which typically focuses on identifying anomalies within a single class.
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Detection AUROC: 99.8Segmentation AUROC: 98.5
Detection AUROC: 99.8Segmentation AUROC: 98.6
Detection AUROC: 96.5Segmentation AUROC: 96.8
Detection AUROC: 97.2Segmentation AUROC: 96.8
Detection AUROC: 98.4Segmentation AUROC: 97.9
Detection AUROC: 98.0Segmentation AUROC: 97.3
Detection AUROC: 98.6Segmentation AUROC: 98.5
Detection AUROC: 98.6Segmentation AUROC: 97.7
Detection AUROC: 97.2Segmentation AUROC: 98.3
Detection AUROC: 98.3Segmentation AUROC: 98.1