EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition

Benchmark Model Rank Results
visual-place-recognition-on-san-francisco-landmarkEigenPlaces#2Recall@1: 89.6
visual-place-recognition-on-svox-overcastEigenPlaces (ResNet-50, 2048D)#7Recall@1: 93.1Recall@5: 97.8Recall@10: 98.3
visual-place-recognition-on-svox-snowEigenPlaces (ResNet-50, 2048D)#7Recall@1: 93.1Recall@5: 97.6
visual-place-recognition-on-svox-snowEigenPlaces (ResNet-50, 512D)#8Recall@10: 98.3
visual-place-recognition-on-svox-sunEigenPlaces (ResNet-50, 2048D)#8Recall@1: 86.4Recall@5: 95Recall@10: 96.4
visual-place-recognition-on-sf-xl-test-v2EigenPlaces#9Recall@1: 90.8Recall@5: 95.7Recall@10: 96.7
visual-place-recognition-on-eynshamEigenPlaces#10Recall@1: 90.7
visual-place-recognition-on-sf-xl-test-v1EigenPlaces#10Recall@1: 84.1
visual-place-recognition-on-st-luciaEigenPlaces (ResNet-50, 2048D)#10Recall@1: 99.6Recall@5: 99.9Recall@10: 100
visual-place-recognition-on-svox-nightEigenPlaces (ResNet-50, 2048D)#11Recall@1: 58.9Recall@5: 76.9Recall@10: 82.6
visual-place-recognition-on-amstertimeEigenPlaces#12Recall@1: 48.9
visual-place-recognition-on-nordlandEigenPlaces (ResNet-50, 2048D)#15Recall@1: 71.2Recall@5: 83.8Recall@10: 88.1
visual-place-recognition-on-tokyo247EigenPlaces#17Recall@1: 93
visual-place-recognition-on-pittsburgh-30k-testEigenPlaces#18Recall@1: 92.5
visual-place-recognition-on-pittsburgh-250k-testEigenPlaces#19Recall@1: 94.1
visual-place-recognition-on-mapillary-valEigenPlaces (ResNet-50, 512D)#24Recall@1: 89.5
visual-place-recognition-on-mapillary-valEigenPlaces (ResNet-50, 2048D)#35Recall@5: 93.8Recall@10: 95