Visual Place Recognition On St Lucia
Metrics
Recall@1
Recall@5
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Recall@1 | Recall@5 |
|---|---|---|
| effovpr-effective-foundation-model | 100.0 | 100.0 |
| mixvpr-feature-mixing-for-visual-place | 99.66 | - |
| towards-seamless-adaptation-of-pre-trained | 99.8 | - |
| anyloc-towards-universal-visual-place | 96.17 | - |
| dinov2-learning-robust-visual-features | 78.62 | - |
| anyloc-towards-universal-visual-place | 62.7 | - |
| emerging-properties-in-self-supervised-vision | 45.22 | - |
| netvlad-cnn-architecture-for-weakly | 57.92 | - |
| progeo-generating-prompts-through-image-text | 99.7 | 99.9 |
| boq-a-place-is-worth-a-bag-of-learnable | - | 100 |
| rethinking-visual-geo-localization-for-large | 99.59 | 99.9 |
| boq-a-place-is-worth-a-bag-of-learnable | 100.0 | 100 |