Visual Place Recognition on MSLS (test)
63.9Recall@1TransVPR
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TransVPRRe-ranking=true, Training Dataset=MSLS2023.03 | 63.9 | 74 | 77.5 | |
| ResNeXt-GeM-GCLPCA=Yes, Dimension=1024, Re-ranking=false, Training Dataset=MSLS2023.03 | 62.3 | 76.2 | 81.1 | |
| ResNet152-GeM-GCLPCA=Yes, Dimension=2048, Re-ranking=false, Training Dataset=MSLS2023.03 | 57.9 | 70.7 | 75.7 | |
| ResNeXt-GeM-GCLPCA=No, Dimension=2048, Re-ranking=false, Training Dataset=MSLS2023.03 | 56 | 70.8 | 75.1 | |
| ResNet50-GeM-GCLPCA=Yes, Dimension=1024, Re-ranking=false, Training Dataset=MSLS2023.03 | 52.9 | 65.7 | 71.9 | |
| DELGRe-ranking=true, Training Dataset=MSLS2023.03 | 52.2 | 61.9 | 65.4 | |
| SP-SuperGlueRe-ranking=true, Training Dataset=MSLS2023.03 | 50.6 | 56.9 | 58.3 | |
| Patch NetVLADPCA=Yes, Dimension=4096, Re-ranking=true, Training Dataset=MSLS2023.03 | 48.1 | 57.6 | 60.5 | |
| TransVPRRe-ranking=false, Training Dataset=MSLS2023.03 | 48 | 67.1 | 73.6 | |
| VGG-GeM-GCLPCA=Yes, Dimension=512, Re-ranking=false, Training Dataset=MSLS2023.03 | 47 | 60.8 | 65.5 | |
| ResNet152-GeM-GCLPCA=No, Dimension=2048, Re-ranking=false, Training Dataset=MSLS2023.03 | 45.7 | 62.3 | 67.9 | |
| NetVLAD 64PCA=Yes, Dimension=4096, Re-ranking=false, Training Dataset=MSLS2023.03 | 45.1 | 58.8 | 63.7 | |
| ResNet50-GeM-GCLPCA=No, Dimension=2048, Re-ranking=false, Training Dataset=MSLS2023.03 | 43.3 | 59.1 | 65 | |
| VGG-GeM-GCLPCA=No, Dimension=512, Re-ranking=false, Training Dataset=MSLS2023.03 | 41.7 | 55.7 | 60.6 | |
| NetVLAD-GCLPCA=Yes, Dimension=4096, Re-ranking=false, Training Dataset=MSLS2023.03 | 41.5 | 56.2 | 61.3 | |
| NetVLAD-GCLPCA=No, Dimension=32768, Re-ranking=false, Training Dataset=MSLS2023.03 | 41 | 55.3 | 61.7 | |
| NetVLAD 16PCA=Yes, Dimension=4096, Re-ranking=false, Training Dataset=MSLS2023.03 | 39.4 | 53 | 57.5 | |
| NetVLAD 16PCA=No, Dimension=8192, Re-ranking=false, Training Dataset=MSLS2023.03 | 29.3 | 43.5 | 50.4 | |
| NetVLAD 64PCA=No, Dimension=32768, Re-ranking=false, Training Dataset=MSLS2023.03 | 28.8 | 44 | 50.7 |