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Cross View Geo Localisation On Spagbol
Metrics
Top-1
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| SpaGBOL | 56.48 | SpaGBOL: Spatial-Graph-Based Orientated Localisation | |
| Sample4Geo | 50.80 | Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation | |
| Sample4Geo | 50.80 | SpaGBOL: Spatial-Graph-Based Orientated Localisation | |
| SAIG-D | 25.65 | SpaGBOL: Spatial-Graph-Based Orientated Localisation | |
| GeoDTR+ | 17.49 | SpaGBOL: Spatial-Graph-Based Orientated Localisation | |
| L2LTR | 11.23 | SpaGBOL: Spatial-Graph-Based Orientated Localisation | |
| DSM | 5.82 | SpaGBOL: Spatial-Graph-Based Orientated Localisation | |
| CVFT | 4.02 | SpaGBOL: Spatial-Graph-Based Orientated Localisation | |
| CVM-Net | 2.87 | SpaGBOL: Spatial-Graph-Based Orientated Localisation |
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