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Models/Reg3D-AD

Reg3D-AD

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 DetectiononReal 3D-AD
Mean Performance of P. and O. · uses extra data· 2023-09-23
0.702
best: 0.821 (DUS-Net)
SOTA
Real3D-AD: A Dataset of Point Cloud Anomaly Detection arXiv:2309.13226
Anomaly DetectiononReal 3D-AD
Object AUROC· uses extra data· 2023-09-23
0.704
best: 0.802 (PASDF)
SOTA
Real3D-AD: A Dataset of Point Cloud Anomaly Detection arXiv:2309.13226
Anomaly DetectiononReal 3D-AD
Point AUROC· uses extra data· 2023-09-23
0.7
best: 0.898 (GLFM)
Real3D-AD: A Dataset of Point Cloud Anomaly Detection arXiv:2309.13226
Anomaly DetectiononAnomaly-ShapeNet10
O-AUROC· 2023-09-23
0.533
best: 0.888 (MC4AD)
Real3D-AD: A Dataset of Point Cloud Anomaly Detection arXiv:2309.13226
Anomaly DetectiononAnomaly-ShapeNet10
P-AUROC· 2023-09-23
0.631
best: 0.937 (MC4AD)
Real3D-AD: A Dataset of Point Cloud Anomaly Detection arXiv:2309.13226

Computer Vision5 results

3D Anomaly DetectiononReal 3D-AD
Mean Performance of P. and O. · uses extra data· 2023-09-23
0.702
best: 0.821 (DUS-Net)
SOTA
Real3D-AD: A Dataset of Point Cloud Anomaly Detection arXiv:2309.13226
3D Anomaly DetectiononReal 3D-AD
Object AUROC· uses extra data· 2023-09-23
0.704
best: 0.802 (PASDF)
SOTA
Real3D-AD: A Dataset of Point Cloud Anomaly Detection arXiv:2309.13226
3D Anomaly DetectiononReal 3D-AD
Point AUROC· uses extra data· 2023-09-23
0.7
best: 0.898 (GLFM)
Real3D-AD: A Dataset of Point Cloud Anomaly Detection arXiv:2309.13226
3D Anomaly DetectiononAnomaly-ShapeNet10
O-AUROC· 2023-09-23
0.533
best: 0.888 (MC4AD)
Real3D-AD: A Dataset of Point Cloud Anomaly Detection arXiv:2309.13226
3D Anomaly DetectiononAnomaly-ShapeNet10
P-AUROC· 2023-09-23
0.631
best: 0.937 (MC4AD)
Real3D-AD: A Dataset of Point Cloud Anomaly Detection arXiv:2309.13226