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Models/PatchCore

PatchCore

Reported on 10 benchmarks across 1 task · 1 paper · 8 SOTA

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

Methodology10 results

Anomaly DetectiononMPDD
Detection AUROC· 2021-06-15
82.12
best: 99.6 (GLASS)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononMPDD
Segmentation AUROC· 2021-06-15
95.66
best: 99.4 (GLASS)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononAeBAD-V
Detection AUROC· 2021-06-15
70.7
best: 78.2 (MMR)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononAeBAD-S
Detection AUROC· 2021-06-15
71
best: 87.1 (MSFR)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononAeBAD-S
Segmentation AUPRO· 2021-06-15
87.8
best: 90.4 (MSFR)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononMVTec AD
Segmentation AUROC· 2021-06-15
98.4
best: 99.7 (WeakREST-Block)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononMVTec LOCO AD
Avg. Detection AUROC· 2021-06-15
80.3
best: 95.3 (CSAD)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononMVTec LOCO AD
Detection AUROC (only logical)· 2021-06-15
75.8
best: 98.1 (PSAD)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononMVTec AD
Detection AUROC· 2021-06-15
99.2
best: 99.9 (GLASS)
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononMVTec LOCO AD
Segmentation AU-sPRO (until FPR 5%)· 2021-06-15
39.7
best: 83.2 (SAM-LAD)
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265