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Models/PatchCore (FPFH)

PatchCore (FPFH)

Reported on 10 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Methodology5 results

Anomaly DetectiononAnomaly-ShapeNet10
O-AUROC· 2021-06-15
0.884
best: 0.888 (MC4AD)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononAnomaly-ShapeNet10
P-AUROC· 2021-06-15
0.923
best: 0.937 (MC4AD)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononReal 3D-AD
Mean Performance of P. and O. · 2021-06-15
0.5925
best: 0.821 (DUS-Net)
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononReal 3D-AD
Object AUROC· 2021-06-15
0.593
best: 0.802 (PASDF)
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononReal 3D-AD
Point AUROC· 2021-06-15
0.592
best: 0.898 (GLFM)
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265

Computer Vision5 results

3D Anomaly DetectiononAnomaly-ShapeNet10
O-AUROC· 2021-06-15
0.884
best: 0.888 (MC4AD)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
3D Anomaly DetectiononAnomaly-ShapeNet10
P-AUROC· 2021-06-15
0.923
best: 0.937 (MC4AD)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
3D Anomaly DetectiononReal 3D-AD
Mean Performance of P. and O. · 2021-06-15
0.5925
best: 0.821 (DUS-Net)
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
3D Anomaly DetectiononReal 3D-AD
Object AUROC· 2021-06-15
0.593
best: 0.802 (PASDF)
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
3D Anomaly DetectiononReal 3D-AD
Point AUROC· 2021-06-15
0.592
best: 0.898 (GLFM)
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265