Outdoor 3D Object Detection on KITTI 11 recall positions (val)
86.74AP 3D Car Moderate (IoU=0.7)Uni3DETR
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Uni3DETRMulti-class training (M)=false2023.10 | 86.74 | 90.23 | 79.31 | — | — | — | — | — | — | |
| RDIoUMulti-class training (M)=false2023.10 | 86.62 | 89.76 | 79.04 | — | — | — | — | — | — | |
| Uni3DETRMulti-class training (M)=true2023.10 | 86.57 | 89.61 | 78.96 | 70.18 | 62.49 | 58.32 | 87.18 | 72.9 | 68.86 | |
| BtcDetMulti-class training (M)=false2023.10 | 86.57 | — | — | — | — | — | — | — | — | |
| CT3DMulti-class training (M)=false2023.10 | 86.06 | 89.54 | 78.99 | — | — | — | — | — | — | |
| RDIoUMulti-class training (M)=true2023.10 | 85.24 | 89.16 | 78.41 | 63.26 | 57.47 | 52.53 | 83.32 | 68.39 | 63.63 | |
| CT3DMulti-class training (M)=true2023.10 | 85.04 | 89.11 | 78.76 | 64.23 | 59.84 | 55.76 | 85.04 | 71.71 | 68.05 | |
| Voxel-RCNNMulti-class training (M)=false2023.10 | 84.52 | 89.41 | 78.93 | — | — | — | — | — | — | |
| VoTr-TSDMulti-class training (M)=false2023.10 | 84.04 | 89.04 | 78.68 | — | — | — | — | — | — | |
| PV-RCNNMulti-class training (M)=true2023.10 | 83.69 | 89.35 | 78.7 | 63.12 | 54.84 | 51.78 | 86.06 | 69.48 | 64.5 | |
| STDMulti-class training (M)=false2023.10 | 79.8 | 89.7 | 79.3 | — | — | — | — | — | — | |
| Part-A2Multi-class training (M)=true2023.10 | 79.41 | 89.56 | 78.84 | 65.69 | 60.05 | 55.45 | 85.5 | 69.9 | 65.49 | |
| PointRCNNMulti-class training (M)=true2023.10 | 78.74 | 89.06 | 78.09 | 67.69 | 60.74 | 55.83 | 86.16 | 71.16 | 67.92 | |
| SECONDMulti-class training (M)=true2023.10 | 78.62 | 88.61 | 77.22 | 56.55 | 52.98 | 47.73 | 80.59 | 67.16 | 63.11 | |
| 3DSSDMulti-class training (M)=false2023.10 | 78.58 | 88.82 | 77.47 | — | — | — | — | — | — | |
| PointPillarMulti-class training (M)=true2023.10 | 77.28 | 86.46 | 74.65 | 57.75 | 52.29 | 47.91 | 80.06 | 62.69 | 59.71 |