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Models/DUS-Net

DUS-Net

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. · 2025-07-05
0.821
SOTA
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection arXiv:2507.03903
Anomaly DetectiononReal 3D-AD
Point AUROC· 2025-07-05
0.847
best: 0.898 (GLFM)
SOTA
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection arXiv:2507.03903
Anomaly DetectiononAnomaly-ShapeNet
O-AUROC· 2025-07-05
0.797
best: 0.909 (MC4AD)
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection arXiv:2507.03903
Anomaly DetectiononAnomaly-ShapeNet
P-AUROC· 2025-07-05
0.712
best: 0.91 (MC4AD)
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection arXiv:2507.03903
Anomaly DetectiononReal 3D-AD
Object AUROC· 2025-07-05
0.795
best: 0.802 (PASDF)
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection arXiv:2507.03903

Computer Vision5 results

3D Anomaly DetectiononReal 3D-AD
Mean Performance of P. and O. · 2025-07-05
0.821
SOTA
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection arXiv:2507.03903
3D Anomaly DetectiononReal 3D-AD
Point AUROC· 2025-07-05
0.847
best: 0.898 (GLFM)
SOTA
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection arXiv:2507.03903
3D Anomaly DetectiononAnomaly-ShapeNet
O-AUROC· 2025-07-05
0.797
best: 0.909 (MC4AD)
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection arXiv:2507.03903
3D Anomaly DetectiononAnomaly-ShapeNet
P-AUROC· 2025-07-05
0.712
best: 0.91 (MC4AD)
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection arXiv:2507.03903
3D Anomaly DetectiononReal 3D-AD
Object AUROC· 2025-07-05
0.795
best: 0.802 (PASDF)
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection arXiv:2507.03903