Pose Estimation On Inloc
Metrics
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | [email protected],10° | [email protected],10° | [email protected],10° | [email protected],10° | [email protected],10° | [email protected],10° |
|---|---|---|---|---|---|---|
| superglue-learning-feature-matching-with | 49.0 | 68.7 | 80.8 | 53.4 | 77.1 | 82.4 |
| loftr-detector-free-local-feature-matching | 47.5 | 72.2 | 84.8 | 54.2 | 74.8 | 82.5 |
| gim-learning-generalizable-image-matcher-from | 54.5 | 78.3 | 87.4 | 63.4 | 83.2 | 87.0 |
| deep-kernelized-dense-geometric-matching | 51.5 | 75.3 | 86.9 | 63.4 | 82.4 | 87.8 |
| gim-learning-generalizable-image-matcher-from | 57.1 | 78.8 | 88.4 | 70.2 | 91.6 | 92.4 |
| gim-learning-generalizable-image-matcher-from | 53.5 | 76.8 | 86.9 | 61.8 | 85.5 | 87.8 |