Panoptic LiDAR Segmentation on Panoptic-SemanticKITTI (val)
63.87PQM3Net
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| M3NetData alignment=true, Feature alignment=true, Label alignment=true2024.05 | 63.87 | 68.66 | 73.1 | 82.35 | 72 | |
| M3NetData alignment=true, Feature alignment=false, Label alignment=true2024.05 | 63.23 | 67.89 | 73.61 | 81.66 | 71.13 | |
| M3NetData alignment=true, Feature alignment=true, Label alignment=false2024.05 | 62.91 | 65.73 | 73.32 | 75.47 | 70.87 | |
| M3NetData alignment=true, Feature alignment=false, Label alignment=false2024.05 | 62.34 | 65.17 | 72.6 | 74.67 | 69.95 | |
| Panoptic-PHNetTraining Type=Single-Dataset Training2024.05 | 61.7 | — | — | — | 65.7 | |
| DSNetTraining Type=Single-Dataset Training2024.05 | 61.4 | 65.2 | 72.7 | 79 | 69.6 | |
| EfficientLPSTraining Type=Single-Dataset Training2024.05 | 59.2 | 65.1 | 69.8 | 75 | 64.9 | |
| Panoptic-PolarNetTraining Type=Single-Dataset Training2024.05 | 59.1 | 64.1 | 70.2 | 78.3 | 64.5 | |
| BaselineTraining Type=Naïve Joint Training2024.05 | 56.03 | 59.64 | 65.78 | 73.72 | 61.59 | |
| Panoptic-TrackNetTraining Type=Single-Dataset Training2024.05 | 40 | — | 48.3 | 73 | 53.8 |