Visual Place Recognition On Tokyo247
Metrics
Recall@1
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Recall@1 |
|---|---|
| eigenplaces-training-viewpoint-robust-models | 93 |
| towards-seamless-adaptation-of-pre-trained | 94.0 |
| rethinking-visual-geo-localization-for-large | 82.2 |
| pair-vpr-place-aware-pre-training-and | 98.1 |
| progeo-generating-prompts-through-image-text | 88.6 |
| effovpr-effective-foundation-model | 98.7 |
| boq-a-place-is-worth-a-bag-of-learnable | 98.1 |
| rethinking-visual-geo-localization-for-large | - |
| generalized-contrastive-optimization-of | 69.84 |
| patch-netvlad-multi-scale-fusion-of-locally | 86 |
| pair-vpr-place-aware-pre-training-and | 100 |