Anomaly Detection On Surface Defect Saliency
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
模型名称 | Detection AUROC | Paper Title | Repository |
|---|---|---|---|
| DifferNet (unsupervised) | 97.7 | Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows | |
| HETMM | 99.5 | Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection | |
| CS-Flow (unsupervised) | 99.3 | Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection | |
| MCuePush (supervised) | - | Surface Defect Saliency of Magnetic Tile |
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