StreetLearn
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Reconstruction | StreetLearn HDR converted (test) | PSNR22.68 | 15 | |
| Latent Space Analysis | StreetLearn converted (test) | Uniqueness1.46 | 6 | |
| Rotation Estimation | StreetLearn Large Overlap | Mean Geodesic Error1.19 | 6 | |
| Instruction Generation | StreetLearn (val) | Better Describes Street View67.9 | 6 | |
| Relative Rotation Estimation | StreetLearn panoramas None overlap (test) | MGE1.53 | 4 | |
| Relative Rotation Estimation | StreetLearn panoramas Small overlap (test) | MGE1.07 | 4 | |
| Relative Rotation Estimation | StreetLearn panoramas Large overlap (test) | MGE0.52 | 4 | |
| One-Shot StreetLearn | StreetLearn One-Shot | Average Reward26.8 | 2 | |
| Rotation Estimation | StreetLearn-T All Overlap | Mean Geodesic Error- | 0 | |
| Rotation Estimation | StreetLearn-T None Overlap | Mean Geodesic Error- | 0 | |
| Rotation Estimation | StreetLearn All Overlap | Mean Geodesic Error- | 0 | |
| Rotation Estimation | StreetLearn None Overlap | Mean Geodesic Error- | 0 | |
| Rotation Estimation | StreetLearn Small Overlap | Mean Geodesic Error- | 0 |
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