Multi-Entity Segmentation on BEHAVE (test)
88.63mIoUPIC++
Evaluation results
| Method | Links | |
|---|---|---|
| PIC++variant=-Sep, training_protocol=full fine-tuning2024.04 | 88.63 | |
| ACTTraining Strategy=Multi-Dataset Joint Training2024.04 | 88.33 | |
| PIC++variant=-Cat, training_protocol=full fine-tuning2024.04 | 88.03 | |
| PIC++variant=-Sep, training_protocol=scratch2024.04 | 87.74 | |
| PIC++variant=-Cat, training_protocol=scratch2024.04 | 86.22 | |
| DGCNNTraining Strategy=Single Dataset Supervised Training2024.04 | 86.18 | |
| PTv3Training Strategy=Multi-Dataset Joint Training2024.04 | 85.63 | |
| PointMLPTraining Strategy=Multi-Dataset Joint Training2024.04 | 84.56 | |
| PICvariant=-Sep2024.04 | 84.03 | |
| PICvariant=-Cat2024.04 | 83.66 | |
| PCMambaTraining Strategy=Multi-Dataset Joint Training2024.04 | 83.64 | |
| PTv2Training Strategy=Multi-Dataset Joint Training2024.04 | 82.63 | |
| MAMBA3DTraining Strategy=Multi-Dataset Joint Training2024.04 | 82.27 | |
| PointDiffTraining Strategy=Multi-Dataset Joint Training2024.04 | 80.88 | |
| PCTTraining Strategy=Single Dataset Supervised Training2024.04 | 79.42 | |
| I2P-MAETraining Strategy=Multi-Dataset Joint Training2024.04 | 79 | |
| PointNetTraining Strategy=Single Dataset Supervised Training2024.04 | 78.63 | |
| PointM2AETraining Strategy=Multi-Dataset Joint Training2024.04 | 78.31 | |
| DGCNNTraining Strategy=Multi-Dataset Joint Training2024.04 | 77.48 | |
| PTv1Training Strategy=Multi-Dataset Joint Training2024.04 | 77.46 | |
| PointNeXtTraining Strategy=Multi-Dataset Joint Training2024.04 | 76.97 | |
| PointLoRATraining Strategy=Multi-Dataset Joint Training2024.04 | 76.16 | |
| PCTTraining Strategy=Multi-Dataset Joint Training2024.04 | 72.41 | |
| PointNetTraining Strategy=Multi-Dataset Joint Training2024.04 | 66.06 | |
| Copy2024.04 | 37.27 |