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Models/HETMM

HETMM

Reported on 9 benchmarks across 1 task · 1 paper · 2 SOTA

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

Methodology9 results

Anomaly DetectiononSurface Defect Saliency of Magnetic Tile
Detection AUROC· 2023-03-28
99.5
SOTA
Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection arXiv:2303.16191
Anomaly DetectiononVisA
Segmentation AUROC· 2023-03-28
99.1
SOTA
Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection arXiv:2303.16191
Anomaly DetectiononMVTec AD
Detection AUROC· 2023-03-28
99.8
best: 99.9 (GLASS)
Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection arXiv:2303.16191
Anomaly DetectiononMVTec AD
Segmentation AUPRO· 2023-03-28
96.4
best: 98.4 (WeakREST-Block)
Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection arXiv:2303.16191
Anomaly DetectiononMVTec AD
Segmentation AUROC· 2023-03-28
99
best: 99.7 (WeakREST-Block)
Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection arXiv:2303.16191
Anomaly DetectiononVisA
Detection AUROC· 2023-03-28
98.1
best: 99.8 (UniNet)
Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection arXiv:2303.16191
Anomaly DetectiononMVTec LOCO AD
Avg. Detection AUROC· 2023-03-28
88.1
best: 95.3 (CSAD)
Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection arXiv:2303.16191
Anomaly DetectiononMVTec LOCO AD
Detection AUROC (only logical)· 2023-03-28
83.2
best: 98.1 (PSAD)
Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection arXiv:2303.16191
Anomaly DetectiononMVTec LOCO AD
Detection AUROC (only structural)· 2023-03-28
92.9
best: 95.9 (PUAD-M)
Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection arXiv:2303.16191