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Anomaly Detection On Leave One Class Out

Metrics

AUROC

Results

Performance results of various models on this benchmark

		Paper Title	Repository
BCE-CLIP	98.4	Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
CLIP (zero shot)	92.2	Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Binary Cross Entropy (OE)	86.6	Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
HSC	84.8	Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
DSAD	84.2	Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
DSVDD	52.2	Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images

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Anomaly Detection On Leave One Class Out | SOTA | HyperAI