| ScanObjectNN OBJ_BG | PointGST | Accuracy98.97 | | 215 | 3d ago |
| ScanObjectNN PB_T50_RS | PointGST | Accuracy94.83 | | 195 | 3d ago |
| ModelNet40 (test) | VRN | Accuracy95.54 | | 180 | 3d ago |
| ScanObjectNN OBJ_ONLY | PointGST | Overall Accuracy97.59 | | 166 | 3d ago |
| VisDA synthetic-to-real 2017 | C-DGPA | Mean Accuracy90.2 | | 91 | 3d ago |
| ModelNet40 1k points | Mamba3D | Accuracy95.1 | | 63 | 3d ago |
| N-CARS (test) | | Accuracy96.8 | | 53 | 3d ago |
| N-Caltech101 (test) | EvDistill | Accuracy90.2 | | 51 | 3d ago |
| ScanObjectNN PB_T50_RS (test) | PointMLP w/ PointCMT | OA86.4 | | 47 | 3d ago |
| ModelNet10 (test) | Grid-CNN | Accuracy97.5 | | 46 | 3d ago |
| ImageNet ILSVRC (test) | | Top-1 Accuracy50.5 | | 45 | 3d ago |
| ModelNet40 | MKConv | Instance Accuracy94 | | 33 | 3d ago |
| ImageNet-1K | SigLIP2 | Top-1 Acc88 | | 33 | 3d ago |
| ScanObjectNN OBJ_ONLY v1.0 | PointGPT-L | Accuracy96.6 | | 29 | 3d ago |
| ScanObjectNN OBJ_BG v1.0 | PointGPT-L | Accuracy97.2 | | 29 | 3d ago |
| ScanObjectNN | DeltaNet | Accuracy89.5 | | 29 | 2d ago |
| DBLP | SHGP | Micro F194.13 | | 24 | 3d ago |
| ACM | HeCo | Micro F1 Score80.94 | | 24 | 3d ago |
| MAG | SHGP | Mic-F198.37 | | 24 | 3d ago |
| miniImageNet (test) | Oracle-MAML (control) | Accuracy92.06 | | 24 | 3d ago |
| COCO 2017 (val) | SpatialRGPT-VILA-1.5-8B | Accuracy82.9 | | 23 | 3d ago |
| ModelNet40 (Overall) | RepSurf-U | Overall Accuracy94.4 | | 23 | 3d ago |
| Waterbirds (test) | UMIX | Worst-Group Accuracy90 | | 22 | 3d ago |
| ModelNet40 | | Overall Accuracy95.1 | | 20 | 3d ago |
| ScanObjectNN Overall | ReCon | Overall Accuracy90.6 | | 20 | 3d ago |
