Rgb 3D Anomaly Detection And Segmentation On
評価指標
Detection AUCROC
Segmentation AUPRO
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
モデル名 | Detection AUCROC | Segmentation AUPRO |
---|---|---|
the-mvtec-3d-ad-dataset-for-unsupervised-3d | 0.517 | 0.639 |
an-empirical-investigation-of-3d-anomaly | 0.865 | 0.959 |
shape-guided-shape-guided-dual-memory | 0.947 | 0.976 |
cheating-depth-enhancing-3d-surface-anomaly | 0.978 | 0.972 |
the-mvtec-3d-ad-dataset-for-unsupervised-3d | 0.538 | 0.564 |
the-mvtec-3d-ad-dataset-for-unsupervised-3d | 0.609 | 0.471 |
multimodal-industrial-anomaly-detection-via | 0.945 | 0.964 |
asymmetric-student-teacher-networks-for | 0.937 | - |
transfusion-a-transparency-based-diffusion | 0.982 | 0.983 |