Supervised Anomaly Detection On Mvtec Ad
评估指标
Detection AUROC
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Detection AUROC |
|---|---|
| catching-both-gray-and-black-swans-open-set | 95.9 |
| target-before-shooting-accurate-anomaly | 99.7 |
| explicit-boundary-guided-semi-push-pull | 99.3 |
| explainable-deep-few-shot-anomaly-detection | 94.5 |
| efficient-anomaly-detection-with-budget | 99.8 |
| towards-efficient-pixel-labeling-for | 99.6 |
| prototypical-residual-networks-for-anomaly | 99.4 |
| explainable-deep-few-shot-anomaly-detection | 93.9 |