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Models/IMRNet

IMRNet

Reported on 8 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Methodology4 results

Anomaly DetectiononAnomaly-ShapeNet
O-AUROC· uses extra data· 2023-11-25
0.661
best: 0.909 (MC4AD)
SOTA
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network arXiv:2311.14897
Anomaly DetectiononAnomaly-ShapeNet
P-AUROC· uses extra data· 2023-11-25
0.65
best: 0.91 (MC4AD)
SOTA
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network arXiv:2311.14897
Anomaly DetectiononReal 3D-AD
Mean Performance of P. and O. · uses extra data· 2023-11-25
0.725
best: 0.821 (DUS-Net)
SOTA
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network arXiv:2311.14897
Anomaly DetectiononReal 3D-AD
Object AUROC· uses extra data· 2023-11-25
0.725
best: 0.802 (PASDF)
SOTA
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network arXiv:2311.14897

Computer Vision4 results

3D Anomaly DetectiononAnomaly-ShapeNet
O-AUROC· uses extra data· 2023-11-25
0.661
best: 0.909 (MC4AD)
SOTA
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network arXiv:2311.14897
3D Anomaly DetectiononAnomaly-ShapeNet
P-AUROC· uses extra data· 2023-11-25
0.65
best: 0.91 (MC4AD)
SOTA
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network arXiv:2311.14897
3D Anomaly DetectiononReal 3D-AD
Mean Performance of P. and O. · uses extra data· 2023-11-25
0.725
best: 0.821 (DUS-Net)
SOTA
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network arXiv:2311.14897
3D Anomaly DetectiononReal 3D-AD
Object AUROC· uses extra data· 2023-11-25
0.725
best: 0.802 (PASDF)
SOTA
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network arXiv:2311.14897