Note: the models and results for NetVLAD and SARE here are trained by this repo, showing a slight difference from their original paper.
| Model | Trained on | Tested on | Recall@1 | Recall@5 | Recall@10 | Download Link |
|---|---|---|---|---|---|---|
| SARE_ind | Pitts30k-train | Pitts250k-test | 88.4% | 95.0% | 96.5% | Google Drive |
| SARE_ind | Pitts30k-train | Tokyo 24/7 | 81.0% | 88.6% | 90.2% | same as above |
| SFRS | Pitts30k-train | Pitts250k-test | 90.7% | 96.4% | 97.6% | Google Drive |
| SFRS | Pitts30k-train | Tokyo 24/7 | 85.4% | 91.1% | 93.3% | same as above |