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Geometric Matching on HPatches Original Resolution 3

1.29AEPE Threshold IGLU-Net-GOCor
-5.400839.762184.925130.0879Dec 12, 2024

Evaluation results

MethodLinks
GLU-Net-GOCorTraining dataset=COCO-augmented DPED-CityScapes-ADE (D*)2024.121.2910.0723.8627.1738.4120.16
PDCNetTraining dataset=COCO-augmented DPED-CityScapes-ADE (D*) + Megadepth (M)2024.121.311.9228.635.9742.4124.04
CroCo-flowTraining dataset=MIX4, D2024.121.327.824.8830.5338.7520.66
PDCNet+Training dataset=COCO-augmented DPED-CityScapes-ADE (D*) + Megadepth (M)2024.121.448.9722.2430.1331.7718.91
ZeroCo-flowTraining dataset=COCO-augmented DPED-CityScapes-ADE (D*) + Megadepth (M)2024.121.519.0915.6221.0720.7313.61
ZeroCo-flowTraining dataset=D*, M, Matching cost=Refined cost2024.121.519.0915.6221.0720.7313.61
GLU-NetTraining dataset=DPED-CityScapes-ADE (D)2024.121.5512.6627.5432.0452.4725.05
DiffMatchTraining dataset=COCO-augmented DPED-CityScapes-ADE (D*)2024.121.8510.8319.1826.3835.9618.84
DMPTraining dataset=DPED-CityScapes-ADE (D)2024.123.2115.5432.5438.6263.4330.64
ZeroCo-finetunedTraining dataset=COCO-augmented DPED-CityScapes-ADE (D*) + Megadepth (M)2024.125.1511.5518.5920.8622.7215.77
ZeroCo-finetunedTraining dataset=D*, M, Matching cost=Cross-attention2024.125.1511.5518.5920.8622.7215.77
DGC-NetTraining dataset=Citycam (C)2024.125.7120.4834.1543.9462.0133.26
DUSt3RTraining dataset=8 mixed datasets (MIX8)2024.1210.1113.1915.2818.4430.7817.56
DUSt3RTraining dataset=MIX8, Matching cost=Point-Corr.2024.1210.1113.1915.2818.4430.7817.56
MASt3RTraining dataset=14 mixed datasets (MIX14)2024.1213.0711.5820.7415.1824.4917.01
MASt3RTraining dataset=MIX14, Matching cost=Feature-Corr.2024.1213.0711.5820.7415.1824.4917.01
ZeroCoMatching cost=Cross-attention, Evaluation Protocol=Zero-shot, Resolution=Original2024.1220.7527.3239.143.4346.3535.39
MASt3RTraining dataset=MIX14, Matching cost=Cross-attention2024.122427.0832.1633.7238.9131.17
CroCo-flowTraining dataset=MIX42024.1227.3380.3793.51107.6147.4394.05
DUSt3RTraining dataset=MIX8, Matching cost=Cross-attention2024.1227.7538.2843.1252.9763.8445.19
SD-DINOMatching cost=Correlation, Evaluation Protocol=Zero-shot, Resolution=Original2024.1248.99105.82110.49133.38157.34111.05
DIFT_ADM*Matching cost=Correlation, Evaluation Protocol=Zero-shot, Resolution=Original, Adjusted hyperparameters=true2024.1252.592.33101.6113.93143.54100.78
DIFT_SDMatching cost=Correlation, Evaluation Protocol=Zero-shot, Resolution=Original2024.1252.8595.69108.9123.72156.31107.49
DUSt3R DecoderTraining dataset=MIX8, Matching cost=Correlation2024.1272.22118.66121.22137.65169.66123.88
DINOv2Matching cost=Correlation, Evaluation Protocol=Zero-shot, Resolution=Original2024.1277.66115.11119.93133.3161.05121.41
DUSt3R EncoderTraining dataset=MIX8, Matching cost=Correlation2024.1279.54123.12123.23137.96170.49126.87
MASt3R DecoderTraining dataset=MIX14, Matching cost=Correlation2024.1294.06125.98131.58144.19170.76133.31
MASt3R EncoderTraining dataset=MIX14, Matching cost=Correlation2024.12105.25133.68141.91149.18178.33131.67
CroCo Enc. + Dec.Matching cost=Correlation, Evaluation Protocol=Zero-shot, Resolution=Original2024.12112.39148.92154.97160.06192.07153.68
CroCo DecoderMatching cost=Correlation, Evaluation Protocol=Zero-shot, Resolution=Original2024.12137.3195.51191.86198.49231.11190.85
CroCo EncoderMatching cost=Correlation, Evaluation Protocol=Zero-shot, Resolution=Original2024.12168.56201.52197.82206.63234.83201.87