BGAD

Reported on 2 benchmarks 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.

Methodology2 results

Anomaly DetectiononMVTec AD
Segmentation AUROC· uses extra data· 2022-07-04
99.2
best: 99.7 (WeakREST-Block)
SOTA
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection arXiv:2207.01463
Anomaly DetectiononMVTec AD
Detection AUROC· uses extra data· 2022-07-04
99.3
best: 99.9 (GLASS)
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection arXiv:2207.01463