NetVLAD: CNN architecture for weakly supervised place recognition

Benchmark Model Rank Results
visual-place-recognition-on-hawkinsNetVLAD#3Recall@1: 34.75
visual-place-recognition-on-mid-atlantic-ridgeNetVLAD#3Recall@1: 25.74
visual-place-recognition-on-berlin-kudammNetVLAD#4Recall@1: 38.21
visual-place-recognition-on-laurel-cavernsNetVLAD#4Recall@1: 39.29
visual-place-recognition-on-oxford-robotcarNetVLAD#4Recall@1: 52.88
visual-place-recognition-on-17-placesNetVLAD#6Recall@1: 61.58
visual-place-recognition-on-baidu-mallNetVLAD#6Recall@1: 53.10
visual-place-recognition-on-gardens-pointNetVLAD#6Recall@1: 58.50
visual-place-recognition-on-nardo-airNetVLAD#6Recall@1: 19.72
visual-place-recognition-on-vp-airNetVLAD#7Recall@1: 6.39
visual-place-recognition-on-nardo-air-rNetVLAD#8Recall@1: 60.56
visual-place-recognition-on-st-luciaNetVLAD#16Recall@1: 57.92
visual-place-recognition-on-pittsburgh-250k-testNetVLAD (VGG-16, whitening 4096-D)#26Recall@1: 86Recall@10: 95.1Recall@5: 93.2
visual-place-recognition-on-tokyo247NetVLAD (VGG-16, whitening 4096-D)#27Recall@1: 71.7
visual-place-recognition-on-pittsburgh-30k-testNetVLAD#33Recall@1: 86.08