Image Matching On Zeb
Metrics
Mean AUC@5°
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Mean AUC@5° |
|---|---|
| gim-learning-generalizable-image-matcher-from | 53.3 |
| loftr-detector-free-local-feature-matching | 33.1 |
| gim-learning-generalizable-image-matcher-from | 51.2 |
| deep-kernelized-dense-geometric-matching | 46.2 |
| superglue-learning-feature-matching-with | 31.2 |
| gim-learning-generalizable-image-matcher-from | 38.3 |
| lightglue-local-feature-matching-at-light | 31.7 |
| three-things-everyone-should-know-to-improve | 31.8 |
| gim-learning-generalizable-image-matcher-from | 39.1 |
| roma-revisiting-robust-losses-for-dense | 48.8 |