ELEPHANT
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multiple Instance Learning Classification | ELEPHANT | Accuracy98.9 | 26 | |
| Language model evaluation across subsets | ELEPHANT | OEQ Validation Score93 | 18 | |
| 3D Surface Reconstruction | Elephant 25 (test) | CD (x100)0.47 | 10 | |
| 3-D reconstruction | Elephant Reflective Object (test) | RMSE (mm)0.8059 | 5 | |
| Neural Shape Representation | Elephant | Chamfer Distance2.24 | 4 | |
| 3D Mesh Reconstruction | Elephant high-genus mesh (test) | Chamfer Distance0.002 | 2 | |
| Multi-instance Learning Classification | ELEPHANT classical MIL (10-fold cross-val) | Metric- | 0 |
Showing 7 of 7 rows