| 3d-anomaly-detection-and-segmentation-on-mvtec | Back to the Feature:
Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (FPFH) | #7 | Detection AUROC: 0.782Segmentation AUROC: 0.978 |
| 3d-anomaly-detection-on-anomaly-shapenet10 | BTF (FPFH) | #3 | O-AUROC: 0.632P-AUROC: 0.790 |
| 3d-anomaly-detection-on-anomaly-shapenet10 | BTF (Raw) | #7 | O-AUROC: 0.500P-AUROC: 0.515 |
| 3d-anomaly-detection-on-real-3d-ad | BTF (Raw) | #8 | Mean Performance of P. and O.: 0.6785Point AUROC: 0.722… |
| 3d-anomaly-detection-on-real-3d-ad | BTF (FPFH) | #14 | Mean Performance of P. and O.: 0.5845Point AUROC: 0.566… |
| depth-anomaly-detection-and-segmentation-on | Back to the Feature:
Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (SIFT) | #5 | Segmentation AUPRO: 0.910Detection AUROC: 0.727… |
| depth-anomaly-detection-and-segmentation-on | Back to the Feature:
Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (HoG) | #7 | Segmentation AUPRO: 0.771Detection AUROC: 0.559… |
| depth-anomaly-detection-and-segmentation-on | Back to the Feature:
Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (Depth iNet) | #8 | Segmentation AUPRO: 0.755Detection AUROC: 0.675… |
| depth-anomaly-detection-and-segmentation-on | Back to the Feature:
Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (NSA) | #9 | Segmentation AUPRO: 0.5572Detection AUROC: 0.696… |
| depth-anomaly-detection-and-segmentation-on | Back to the Feature:
Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (RaW) | #10 | Segmentation AUPRO: 0.442Detection AUROC: 0.573… |
| rgb-3d-anomaly-detection-and-segmentation-on | Back to the Feature:
Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (BTF) | #6 | Detection AUCROC: 0.865Segmentation AUPRO: 0.959… |