DSAD

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology2 results

Anomaly DetectiononLeave-One-Class-Out CIFAR-10
AUROC· 2022-05-23
84.2
best: 98.4 (BCE-CLIP)
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images arXiv:2205.11474
Anomaly DetectiononLeave-One-Class-Out ImageNet-30
AUROC· uses extra data· 2022-05-23
88.8
best: 99.3 (BCE-CLIP (OE))
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images arXiv:2205.11474