Multi-Entity Segmentation on Human3D (test)
82.82mIoUPIC++
Evaluation results
| Method | Links | |
|---|---|---|
| PIC++variant=-Sep, training_protocol=full fine-tuning2024.04 | 82.82 | |
| ACTTraining Strategy=Multi-Dataset Joint Training2024.04 | 82.58 | |
| PointNeXtTraining Strategy=Multi-Dataset Joint Training2024.04 | 82.06 | |
| PCTTraining Strategy=Single Dataset Supervised Training2024.04 | 81.65 | |
| PointMLPTraining Strategy=Multi-Dataset Joint Training2024.04 | 81.34 | |
| PCMambaTraining Strategy=Multi-Dataset Joint Training2024.04 | 81.22 | |
| PointNetTraining Strategy=Single Dataset Supervised Training2024.04 | 81.05 | |
| PTv3Training Strategy=Multi-Dataset Joint Training2024.04 | 81.04 | |
| PTv2Training Strategy=Multi-Dataset Joint Training2024.04 | 80.84 | |
| PIC++variant=-Sep, training_protocol=scratch2024.04 | 80.39 | |
| PointDiffTraining Strategy=Multi-Dataset Joint Training2024.04 | 80.32 | |
| PIC++variant=-Cat, training_protocol=full fine-tuning2024.04 | 80.11 | |
| PTv1Training Strategy=Multi-Dataset Joint Training2024.04 | 79.64 | |
| PCTTraining Strategy=Multi-Dataset Joint Training2024.04 | 79.46 | |
| MAMBA3DTraining Strategy=Multi-Dataset Joint Training2024.04 | 78.92 | |
| PointNetTraining Strategy=Multi-Dataset Joint Training2024.04 | 77.44 | |
| PIC++variant=-Cat, training_protocol=scratch2024.04 | 77.33 | |
| PointM2AETraining Strategy=Multi-Dataset Joint Training2024.04 | 76.2 | |
| PointLoRATraining Strategy=Multi-Dataset Joint Training2024.04 | 76.17 | |
| PICvariant=-Sep2024.04 | 74.74 | |
| DGCNNTraining Strategy=Single Dataset Supervised Training2024.04 | 74.57 | |
| I2P-MAETraining Strategy=Multi-Dataset Joint Training2024.04 | 74.36 | |
| PICvariant=-Cat2024.04 | 72.79 | |
| DGCNNTraining Strategy=Multi-Dataset Joint Training2024.04 | 70.52 | |
| Copy2024.04 | 8.94 |