GIM: Learning Generalizable Image Matcher From Internet Videos

Benchmark Model Rank Results
image-matching-on-zebGIM-RoMa#1Mean AUC@5°: 53.3
image-matching-on-zebGIM-DKM#2Mean AUC@5°: 51.2
image-matching-on-zebGIM-LoFTR#5Mean AUC@5°: 39.1
image-matching-on-zebGIM-LightGlue#6Mean AUC@5°: 38.3
pose-estimation-on-inlocGIM-DKM#1DUC1-Acc@0.25m,10°: 57.1DUC1-Acc@0.5m,10°: 78.8
pose-estimation-on-inlocGIM-LoFTR#2DUC1-Acc@0.25m,10°: 54.5DUC1-Acc@0.5m,10°: 78.3
pose-estimation-on-inlocGIM-SuperGlue#3DUC1-Acc@0.25m,10°: 53.5DUC1-Acc@0.5m,10°: 76.8
visual-localization-on-aachen-day-night-v1-1GIM-LoFTR#1Acc@0.25m, 2°: 79.1Acc@0.5m, 5°: 91.6Acc@5m, 10°: 100.0
visual-localization-on-aachen-day-night-v1-1GIM-SuperGlue#3Acc@0.25m, 2°: 78.0Acc@0.5m, 5°: 90.6Acc@5m, 10°: 100.0
visual-localization-on-aachen-day-night-v1-1GIM-DKM#5Acc@0.25m, 2°: 77.0Acc@0.5m, 5°: 90.1Acc@5m, 10°: 99.5