GSV-Cities: Toward Appropriate Supervised Visual Place Recognition

Benchmark Model Rank Results
visual-place-recognition-on-nordland-2760-queriesConv-AP (released ResNet50,8192D)#11Recall@1: 42.7
visual-place-recognition-on-nordland-2760-queriesConv-AP (released ResNet50,4096D)#12Recall@5: 59.8
visual-place-recognition-on-nordland-2760-queriesConv-AP (released ResNet50,2048D)#13Recall@10: 63.19
visual-place-recognition-on-spedConv-AP (released ResNet50,2048D)#16Recall@1: 81.55Recall@5: 90.77
visual-place-recognition-on-spedConv-AP (ResNet50,4x4 pooling)#17Recall@10: 93.9
visual-place-recognition-on-nordlandConv-AP#18Recall@1: 38.5Recall@5: 53.9
visual-place-recognition-on-pittsburgh-250k-testConv-AP#20Recall@1: 92.4Recall@10: 98.6Recall@5: 97.6
visual-place-recognition-on-pittsburgh-30k-testConv-AP (released ResNet50,2048D)#26Recall@1: 90.57Recall@10: 96.21
visual-place-recognition-on-pittsburgh-30k-testConv-AP (released ResNet50,4096D)#39Recall@5: 95.3
visual-place-recognition-on-mapillary-valConv-AP#29Recall@1: 83.4Recall@5: 90.5Recall@10: 92.3