SSOOD

Reported on 1 benchmark across 1 task · 1 paper · 1 SOTA

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

Methodology1 result

Anomaly DetectiononOne-class CIFAR-10
AUROC· 2019-06-28
90.1
best: 99.6 (CLIP (OE))
SOTA
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty arXiv:1906.12340