Supervised (OE)

Reported on 1 benchmark across 1 task · 1 paper

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

Methodology1 result

Anomaly DetectiononOne-class ImageNet-30
AUROC· uses extra data· 2019-06-28
56.1
best: 99.9 (BCE-Clip (OE))
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty arXiv:1906.12340