Monocular 3D Object Detection on Waymo Level 1 (val)
17.54AP3D (All)CaDDN
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| CaDDNIOU3D threshold=0.5, Extra (Training Modality/Data)=LIDAR2023.12 | 17.54 | 45 | 9.24 | 0.64 | 17.31 | 44.46 | 9.11 | 0.62 | |
| MonoLSSIOU3D threshold=0.5, Extra (Training Modality/Data)=None2023.12 | 13.49 | 33.64 | 6.45 | 1.29 | 13.38 | 33.39 | — | 1.26 | |
| DEVIANTIOU3D threshold=0.5, Extra (Training Modality/Data)=None2023.12 | 10.98 | 26.85 | 5.13 | 0.18 | 10.89 | 26.64 | 5.08 | 0.18 | |
| GUPNetIOU3D threshold=0.5, Extra (Training Modality/Data)=None2023.12 | 10.02 | 24.78 | 4.84 | 0.22 | 9.94 | 24.59 | 4.78 | 0.22 | |
| CaDDNIOU3D threshold=0.7, Extra (Training Modality/Data)=LIDAR2023.12 | 5.03 | 15.54 | 1.47 | 0.1 | 4.99 | 14.43 | 1.45 | 0.1 | |
| PCTIOU3D threshold=0.5, Extra (Training Modality/Data)=Depth2023.12 | 4.2 | 14.7 | 1.78 | 0.39 | 4.15 | 14.54 | 1.75 | 0.39 | |
| M3D-RPNIOU3D threshold=0.5, Extra (Training Modality/Data)=None2023.12 | 3.79 | 11.14 | 2.16 | 0.26 | 3.63 | 10.7 | 2.09 | 0.21 | |
| MonoLSSIOU3D threshold=0.7, Extra (Training Modality/Data)=None2023.12 | 3.71 | 9.82 | 1.14 | 0.16 | 3.69 | 9.75 | 1.13 | 0.16 | |
| PatchNetIOU3D threshold=0.5, Extra (Training Modality/Data)=Depth2023.12 | 2.92 | 10.03 | 1.09 | 0.23 | 2.74 | 9.75 | 0.96 | 0.18 | |
| DEVIANTIOU3D threshold=0.7, Extra (Training Modality/Data)=None2023.12 | 2.69 | 6.95 | 0.99 | 0.02 | 2.67 | 6.9 | 0.98 | 0.02 | |
| GUPNetIOU3D threshold=0.7, Extra (Training Modality/Data)=None2023.12 | 2.28 | 6.15 | 0.81 | 0.03 | 2.27 | 6.11 | 0.8 | 0.03 | |
| PCTIOU3D threshold=0.7, Extra (Training Modality/Data)=Depth2023.12 | 0.89 | 3.18 | 0.27 | 0.07 | 0.88 | 3.15 | 0.27 | 0.07 | |
| PatchNetIOU3D threshold=0.7, Extra (Training Modality/Data)=Depth2023.12 | 0.39 | 1.67 | 0.13 | 0.03 | 0.39 | 1.63 | 0.12 | 0.03 | |
| M3D-RPNIOU3D threshold=0.7, Extra (Training Modality/Data)=None2023.12 | 0.35 | 1.12 | 0.18 | 0.02 | 0.34 | 1.1 | 0.18 | 0.02 |