ESAD

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 CIFAR-10
AUROC· uses extra data· 2020-12-09
83.3
best: 99.6 (CLIP (OE))
ESAD: End-to-end Deep Semi-supervised Anomaly Detection arXiv:2012.04905