Photo Geolocation Estimation On Im2Gps3K
Metriken
City level (25 km)
Continent level (2500 km)
Country level (750 km)
Region level (200 km)
Street level (1 km)
Training Images
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | City level (25 km) | Continent level (2500 km) | Country level (750 km) | Region level (200 km) | Street level (1 km) | Training Images |
|---|---|---|---|---|---|---|
| where-in-the-world-is-this-image-transformer | 31.1 | 80.1 | 58.9 | 46.7 | 11.8 | 4.7M |
| pigeon-predicting-image-geolocations | 36.7 | 85.3 | 72.4 | 53.8 | 11.3 | 4.5M |
| geoclip-clip-inspired-alignment-between | 34.5 | 83.8 | 69.7 | 50.7 | 14.1 | 4.7M |
| where-we-are-and-what-we-re-looking-at-query | 33.5 | 76.1 | 61.0 | 45.9 | 12.8 | 4.7M |
| learning-generalized-zero-shot-learners-for | 22.4 | 80.4 | 61.3 | 37.4 | - | 1.1M |
| revisiting-im2gps-in-the-deep-learning-era | 19.4 | 55.9 | 38.9 | 26.9 | 7.2 | 6M |
| geolocation-estimation-of-photos-using-a | 28.0 | 66.0 | 49.7 | 36.6 | 10.5 | 4.7M |
| geolocation-estimation-of-photos-using-a | 27.0 | 66.0 | 49.2 | 35.6 | 9.7 | 4.7M |
| geolocation-estimation-of-photos-using-a | 24.9 | 65.8 | 48.8 | 34.0 | 8.3 | 4.7M |
| revisiting-im2gps-in-the-deep-learning-era | 14.2 | 52.7 | 33.5 | 21.3 | 3.7 | 6M |
| cplanet-enhancing-image-geolocalization-by | 26.5 | 64.4 | 48.6 | 34.6 | 10.2 | 30.3M |
| revisiting-im2gps-in-the-deep-learning-era | 14.8 | 52.4 | 32.6 | 21.4 | 4.0 | 6M |