3D Object Detection on Rope3D Big Vehicle category heterologous benchmark (test)
13.1APMonoFlex
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MonoFlexGPF=false2025.12 | 13.1 | 28.22 | |
| LeAD-M3D XGPF=true2025.12 | 8.71 | 25.15 | |
| LeAD-M3D BGPF=true2025.12 | 5.4 | 22.41 | |
| LeAD-M3D MGPF=true2025.12 | 4.95 | 22.14 | |
| LeAD-M3D SGPF=true2025.12 | 4.16 | 21.25 | |
| GroundMixGPF=true2025.12 | 3.9 | 21.06 | |
| M3D-RPNGPF=false2025.12 | 3.39 | 21.01 | |
| MonoDLEGPF=false2025.12 | 3.02 | 19.96 | |
| M3D-RPNGPF=true2025.12 | 2.78 | 20.82 | |
| MonoDLEGPF=true2025.12 | 2.31 | 19.55 | |
| CoBEVGPF=false2025.12 | 2.26 | 19.71 | |
| LeAD-M3D NGPF=true2025.12 | 1.8 | 19.17 | |
| MonoConGPF=true2025.12 | 1.61 | 19.25 | |
| Kinematic3DGPF=true2025.12 | 1.27 | 18.92 | |
| BEVHeightGPF=false2025.12 | 1.16 | 18.53 | |
| MonoFlexGPF=true2025.12 | 0.97 | 18.18 | |
| BEVFormerGPF=true2025.12 | 0.84 | 18.42 | |
| BEVDepthGPF=true2025.12 | 0.3 | 17.84 |