Point Cloud Registration on ETH Generalization (Gazebo & Wood) (test)
46.7FMR (Gazebo Summer)GCL+Conv
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| GCL+ConvBackbone=Conv, Training Dataset=KITTI, Testing Voxel Size=0.05m, tau1=10cm, tau2=5%2023.07 | 46.7 | 30.8 | 61.7 | 73.6 | 53.2 | |
| GCL+KPConvBackbone=KPConv, Training Dataset=KITTI, Testing Voxel Size=0.05m, tau1=10cm, tau2=5%2023.07 | 46.2 | 28.4 | 56.5 | 72 | 50.8 | |
| FCGFTraining Dataset=KITTI, Testing Voxel Size=0.05m, tau1=10cm, tau2=5%2023.07 | 40.2 | 26 | 54.8 | 67.2 | 47 | |
| PredatorTraining Dataset=KITTI, Testing Voxel Size=0.05m, tau1=10cm, tau2=5%2023.07 | 21.2 | 20.8 | 23.5 | 30.4 | 24 |