Image Matching On Zeb
Métriques
Mean AUC@5°
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Mean AUC@5° | Paper Title | Repository |
|---|---|---|---|
| GIM-RoMa | 53.3 | GIM: Learning Generalizable Image Matcher From Internet Videos | - |
| LoFTR | 33.1 | LoFTR: Detector-Free Local Feature Matching with Transformers | - |
| GIM-DKM | 51.2 | GIM: Learning Generalizable Image Matcher From Internet Videos | - |
| DKM | 46.2 | DKM: Dense Kernelized Feature Matching for Geometry Estimation | - |
| SuperGlue | 31.2 | SuperGlue: Learning Feature Matching with Graph Neural Networks | - |
| GIM-LightGlue | 38.3 | GIM: Learning Generalizable Image Matcher From Internet Videos | - |
| LightGlue | 31.7 | LightGlue: Local Feature Matching at Light Speed | - |
| RootSIFT | 31.8 | Three things everyone should know to improve object retrieval | |
| GIM-LoFTR | 39.1 | GIM: Learning Generalizable Image Matcher From Internet Videos | - |
| RoMa | 48.8 | RoMa: Robust Dense Feature Matching | - |
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