Visual Place Recognition On Pittsburgh 250K
Metriken
Recall@1
Recall@10
Recall@5
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Recall@1 | Recall@10 | Recall@5 |
|---|---|---|---|
| towards-seamless-adaptation-of-pre-trained | 95.7 | 98.8 | 99.2 |
| progeo-generating-prompts-through-image-text | 92.2 | - | 97.7 |
| boq-a-place-is-worth-a-bag-of-learnable | 96.6 | 99.5 | 99.1 |
| global-proxy-based-hard-mining-for-visual | 91.5 | 98.1 | 97.2 |
| boq-a-place-is-worth-a-bag-of-learnable | 95 | 99.1 | 98.5 |
| optimal-transport-aggregation-for-visual | 95.1 | 99.1 | 98.5 |
| mixvpr-feature-mixing-for-visual-place | 94.6 | 99.0 | 98.3 |
| rethinking-visual-geo-localization-for-large | 91.5 | 97.9 | 96.9 |
| eigenplaces-training-viewpoint-robust-models | 94.1 | - | - |
| gsv-cities-toward-appropriate-supervised | 92.4 | 98.6 | 97.6 |