LERF-OVS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| 3D Open-Vocabulary Segmentation | LERF-OVS | mIoU (Ramen)65.7 | 24 | |
| 3D object selection | LERF-OVS | mIoU (Mean)51.78 | 21 | |
| 3D Semantic Segmentation | LERF-OVS | Ramen Score77.9 | 8 | |
| 3D Object Localization | LERF-OVS | Ramen Score85.8 | 7 | |
| 3D Open-Vocabulary Query | LERF-OVS | Mean mIoU54.36 | 7 | |
| 2D Open-Vocabulary Query | LERF-OVS | Mean mIoU64.98 | 7 | |
| 3D Object Selection | LERF-OVS | Inference Time (s)0.001 | 5 | |
| Object Localization | LERF-OVS (test) | Bouquet Score100 | 5 | |
| Language Grounding | LERF-OVS | mIoU59.9 | 4 |
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