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Models/BTF (FPFH)

BTF (FPFH)

Reported on 10 benchmarks across 2 tasks · 1 paper

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

Methodology5 results

Anomaly DetectiononReal 3D-AD
Mean Performance of P. and O. · 2022-03-10
0.5845
best: 0.821 (DUS-Net)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550
Anomaly DetectiononReal 3D-AD
Object AUROC· 2022-03-10
0.603
best: 0.802 (PASDF)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550
Anomaly DetectiononReal 3D-AD
Point AUROC· 2022-03-10
0.566
best: 0.898 (GLFM)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550
Anomaly DetectiononAnomaly-ShapeNet10
O-AUROC· 2022-03-10
0.632
best: 0.888 (MC4AD)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550
Anomaly DetectiononAnomaly-ShapeNet10
P-AUROC· 2022-03-10
0.79
best: 0.937 (MC4AD)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550

Computer Vision5 results

3D Anomaly DetectiononReal 3D-AD
Mean Performance of P. and O. · 2022-03-10
0.5845
best: 0.821 (DUS-Net)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550
3D Anomaly DetectiononReal 3D-AD
Object AUROC· 2022-03-10
0.603
best: 0.802 (PASDF)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550
3D Anomaly DetectiononReal 3D-AD
Point AUROC· 2022-03-10
0.566
best: 0.898 (GLFM)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550
3D Anomaly DetectiononAnomaly-ShapeNet10
O-AUROC· 2022-03-10
0.632
best: 0.888 (MC4AD)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550
3D Anomaly DetectiononAnomaly-ShapeNet10
P-AUROC· 2022-03-10
0.79
best: 0.937 (MC4AD)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550