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Models/PatchCore (FPFH+Raw)

PatchCore (FPFH+Raw)

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Methodology3 results

Anomaly DetectiononReal 3D-AD
Mean Performance of P. and O. · 2021-06-15
0.687
best: 0.821 (DUS-Net)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononReal 3D-AD
Object AUROC· 2021-06-15
0.682
best: 0.802 (PASDF)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
Anomaly DetectiononReal 3D-AD
Point AUROC· 2021-06-15
0.692
best: 0.898 (GLFM)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265

Computer Vision3 results

3D Anomaly DetectiononReal 3D-AD
Mean Performance of P. and O. · 2021-06-15
0.687
best: 0.821 (DUS-Net)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
3D Anomaly DetectiononReal 3D-AD
Object AUROC· 2021-06-15
0.682
best: 0.802 (PASDF)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265
3D Anomaly DetectiononReal 3D-AD
Point AUROC· 2021-06-15
0.692
best: 0.898 (GLFM)
SOTA
Towards Total Recall in Industrial Anomaly Detection arXiv:2106.08265