3D Anomaly Detection And Segmentation On
Métriques
Detection AUROC
Segmentation AUPRO
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
Nom du modèle | Detection AUROC | Segmentation AUPRO |
---|---|---|
the-mvtec-3d-ad-dataset-for-unsupervised-3d | 0.537 | 0.583 |
the-mvtec-3d-ad-dataset-for-unsupervised-3d | 0.571 | 0.492 |
an-empirical-investigation-of-3d-anomaly | 0.782 | 0.924 |
shape-guided-shape-guided-dual-memory | 0.916 | 0.931 |
complementary-pseudo-multimodal-feature-for | 0.8918 | 0.9145 |
the-mvtec-3d-ad-dataset-for-unsupervised-3d | 0.699 | 0.348 |
anomaly-detection-in-3d-point-clouds-using | - | 0.833 |
complementary-pseudo-multimodal-feature-for | 0.9515 | 0.9293 |
complementary-pseudo-multimodal-feature-for | 0.8304 | 0.9230 |