| 3d-point-cloud-linear-classification-on-modelnet40 | Point-JEPA | #1 | Overall Accuracy: 93.7±0.2 |
| few-shot-3d-point-cloud-classification-on-modelnet40-10-way-10-shot | Point-JEPA | #1 | Overall Accuracy: 95.0Standard Deviation: 3.6 |
| few-shot-3d-point-cloud-classification-on-modelnet40-10-way-20-shot | Point-JEPA | #2 | Overall Accuracy: 96.4Standard Deviation: 2.7 |
| few-shot-3d-point-cloud-classification-on-modelnet40-5-way-20-shot | Point-JEPA | #2 | Overall Accuracy: 99.2Standard Deviation: 0.8 |
| few-shot-3d-point-cloud-classification-on-modelnet40-5-way-10-shot | Point-JEPA | #6 | Overall Accuracy: 97.4Standard Deviation: 2.2 |
| 3d-point-cloud-classification-on-modelnet40 | Point-JEPA (voting) | #25 | Overall Accuracy: 94.1±0.1 |
| 3d-point-cloud-classification-on-modelnet40 | Point-JEPA (no voting) | #46 | Overall Accuracy: 93.8±0.2 |
| 3d-point-cloud-classification-on-scanobjectnn | Point-JEPA | #46 | Overall Accuracy: 86.6OBJ-BG (OA): 92.9±0.4 |
| 3d-part-segmentation-on-shapenet-part | Point-JEPA | #58 | Instance Average IoU: 83.9Class Average IoU: 85.8 |