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Anomaly Detection On Leave One Class Out

Metrics

AUROC

Results

Performance results of various models on this benchmark

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