3D Point Cloud Semantic Segmentation on SemanticPOSS
53.3S0 ScorePENet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PENetN-way=2-way, K-shot=5-shot2025.09 | 53.3 | 54.5 | 53.9 | |
| PAP3DN-way=2-way, K-shot=5-shot, re-trained=true2025.09 | 46.67 | 49.4 | 48.04 | |
| PENetN-way=3-way, K-shot=5-shot2025.09 | 45.16 | 50.07 | 47.62 | |
| PAP3DN-way=3-way, K-shot=5-shot, re-trained=true2025.09 | 42.98 | 45.06 | 44.02 | |
| PENetN-way=2-way, K-shot=1-shot2025.09 | 42.85 | 45.31 | 44.08 | |
| AttMPTIN-way=2-way, K-shot=5-shot, re-trained=true2025.09 | 42.03 | 41.89 | 41.96 | |
| PENetN-way=3-way, K-shot=1-shot2025.09 | 37.94 | 42.88 | 40.41 | |
| PAP3DN-way=2-way, K-shot=1-shot, re-trained=true2025.09 | 37.51 | 40.08 | 38.8 | |
| AttMPTIN-way=3-way, K-shot=5-shot, re-trained=true2025.09 | 37.41 | 40.08 | 38.75 | |
| AttMPTIN-way=2-way, K-shot=1-shot, re-trained=true2025.09 | 36.21 | 34.44 | 35.33 | |
| PAP3DN-way=3-way, K-shot=1-shot, re-trained=true2025.09 | 33.42 | 34.01 | 33.72 | |
| AttMPTIN-way=3-way, K-shot=1-shot, re-trained=true2025.09 | 27.64 | 31.87 | 29.76 |