Multi-Entity Segmentation on AKB-48
73.52mIoUPIC++
Evaluation results
| Method | Links | |
|---|---|---|
| PIC++variant=-Cat, training_protocol=full fine-tuning2024.04 | 73.52 | |
| PIC++variant=-Cat, training_protocol=scratch2024.04 | 73.11 | |
| PIC++variant=-Sep, training_protocol=scratch2024.04 | 68.96 | |
| PIC++variant=-Sep, training_protocol=full fine-tuning2024.04 | 63.08 | |
| PTv3Training Strategy=Multi-Dataset Joint Training2024.04 | 44.42 | |
| MAMBA3DTraining Strategy=Multi-Dataset Joint Training2024.04 | 42.25 | |
| PointNetTraining Strategy=Multi-Dataset Joint Training2024.04 | 41.38 | |
| PCTTraining Strategy=Multi-Dataset Joint Training2024.04 | 40.17 | |
| PointM2AETraining Strategy=Multi-Dataset Joint Training2024.04 | 39.3 | |
| PCMambaTraining Strategy=Multi-Dataset Joint Training2024.04 | 38.18 | |
| PointNeXtTraining Strategy=Multi-Dataset Joint Training2024.04 | 37.39 | |
| PointDiffTraining Strategy=Multi-Dataset Joint Training2024.04 | 37.36 | |
| PointLoRATraining Strategy=Multi-Dataset Joint Training2024.04 | 37.27 | |
| PTv1Training Strategy=Multi-Dataset Joint Training2024.04 | 36.47 | |
| DGCNNTraining Strategy=Multi-Dataset Joint Training2024.04 | 36.07 | |
| ACTTraining Strategy=Multi-Dataset Joint Training2024.04 | 34.69 | |
| PTv2Training Strategy=Multi-Dataset Joint Training2024.04 | 33.67 | |
| PointMLPTraining Strategy=Multi-Dataset Joint Training2024.04 | 30.86 | |
| PICvariant=-Sep2024.04 | 19.58 | |
| Copy2024.04 | 17.24 | |
| I2P-MAETraining Strategy=Multi-Dataset Joint Training2024.04 | 16.89 | |
| PICvariant=-Cat2024.04 | 9.97 |