Visual Place Recognition on Tokyo 24/7 (test)
90.5mAPEdgeMAC + CLAHE
Evaluation Results
| Method | Links | |
|---|---|---|
| EdgeMAC + CLAHETraining Data=Source and target data, Ensemble=true2021.08 | 90.5 | |
| EdgeMAC + U-Net jointlyTraining Data=Source and target data, Ensemble=true2021.08 | 90 | |
| W-ResNet101 GeMTraining Data=Source data only2021.08 | 88.3 | |
| CLAHETraining Data=Source and target data2021.08 | 87 | |
| U-Net jointlyTraining Data=Source and target data2021.08 | 86.5 | |
| EdgeMAC + VGG GeMTraining Data=Source data only, Ensemble=true2021.08 | 85.4 | |
| ResNet101 GeMTraining Data=Source data only2021.08 | 85 | |
| CLAHETraining Data=Source data only2021.08 | 84.1 | |
| W-VGG GeMTraining Data=Source data only2021.08 | 83.3 | |
| U-Net jointlyTraining Data=Source data only2021.08 | 79.8 | |
| VGG GeMTraining Data=Source and target data2021.08 | 79.8 | |
| VGG GeMTraining Data=Source data only2021.08 | 79.4 | |
| EdgeMACTraining Data=Source data only2021.08 | 75.9 |