A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense”

This page shows the benchmarks results for the dataset “house-dense”. The reported values, bounds and accuracies are averaged across all instances of the dataset.

Run time 1s

method avg value avg bound feasible optimal accuracy
dd-ls0 -3778.13 -3779.12 105 / 105 105 / 105 100.00%
dd-ls3 -3778.13 -3778.6 105 / 105 105 / 105 100.00%
dd-ls4 -3763.27 -3794.59 105 / 105 97 / 105 99.30%
fgmd inf -inf 0 / 105 0 / 105
fm-bca -3778.13 -3779.03 105 / 105 105 / 105 100.00%
fm -3778.13 -4078.39 105 / 105 105 / 105 100.00%
fw -3778.13 -inf 105 / 105 105 / 105 100.00%
ga 3491.47 -inf 105 / 105 0 / 105 7.97%
hbp inf -inf 103 / 105 103 / 105
ipfps 3654.44 -inf 105 / 105 0 / 105 7.97%
ipfpu 3658.68 -inf 105 / 105 0 / 105 8.10%
lsm inf -inf 0 / 105 0 / 105
mp -3776.66 -3781.62 105 / 105 104 / 105 99.81%
mp-fw -3778.13 -3843.31 105 / 105 105 / 105 100.00%
mpm 1260.42 -inf 105 / 105 0 / 105 53.33%
mp-mcf -3542.28 -3825.49 105 / 105 33 / 105 89.46%
pm 3261.67 -inf 105 / 105 0 / 105 17.59%
rrwm 2895.5 -inf 105 / 105 0 / 105 9.71%
sm 3788.75 -inf 105 / 105 0 / 105 8.63%
smac 2816.89 -inf 105 / 105 0 / 105 31.21%

Run time 10s

method avg value avg bound feasible optimal accuracy
dd-ls0 -3778.13 -3779.12 105 / 105 105 / 105 100.00%
dd-ls3 -3778.13 -3778.42 105 / 105 105 / 105 100.00%
dd-ls4 -3778.13 -3778.47 105 / 105 105 / 105 100.00%
fgmd inf -inf 0 / 105 0 / 105
fm-bca -3778.13 -3778.13 105 / 105 105 / 105 100.00%
fm -3778.13 -4078.39 105 / 105 105 / 105 100.00%
fw -3778.13 -inf 105 / 105 105 / 105 100.00%
ga 3491.47 -inf 105 / 105 0 / 105 7.97%
hbp -3778.13 -3806.42 105 / 105 105 / 105 100.00%
ipfps 3654.44 -inf 105 / 105 0 / 105 7.97%
ipfpu 3658.68 -inf 105 / 105 0 / 105 8.10%
lsm 2390.72 -inf 105 / 105 0 / 105 18.19%
mp -3776.66 -3780.09 105 / 105 104 / 105 99.81%
mp-fw -3778.13 -3790.57 105 / 105 105 / 105 100.00%
mpm 1260.42 -inf 105 / 105 0 / 105 53.33%
mp-mcf -3731.69 -3783.47 105 / 105 89 / 105 97.75%
pm 3261.67 -inf 105 / 105 0 / 105 17.59%
rrwm 2895.5 -inf 105 / 105 0 / 105 9.71%
sm 3788.75 -inf 105 / 105 0 / 105 8.63%
smac 2816.89 -inf 105 / 105 0 / 105 31.21%

Run time 100s

method avg value avg bound feasible optimal accuracy
dd-ls0 -3778.13 -3779.12 105 / 105 105 / 105 100.00%
dd-ls3 -3778.13 -3778.42 105 / 105 105 / 105 100.00%
dd-ls4 -3778.13 -3778.47 105 / 105 105 / 105 100.00%
fgmd -3542.48 -inf 105 / 105 81 / 105 89.27%
fm-bca -3778.13 -3778.13 105 / 105 105 / 105 100.00%
fm -3778.13 -4078.39 105 / 105 105 / 105 100.00%
fw -3778.13 -inf 105 / 105 105 / 105 100.00%
ga 3491.47 -inf 105 / 105 0 / 105 7.97%
hbp -3778.13 -3806.42 105 / 105 105 / 105 100.00%
ipfps 3654.44 -inf 105 / 105 0 / 105 7.97%
ipfpu 3658.68 -inf 105 / 105 0 / 105 8.10%
lsm 2390.72 -inf 105 / 105 0 / 105 18.19%
mp -3776.66 -3780.08 105 / 105 104 / 105 99.81%
mp-fw -3778.13 -3778.8 105 / 105 105 / 105 100.00%
mpm 1260.42 -inf 105 / 105 0 / 105 53.33%
mp-mcf -3776.07 -3778.42 105 / 105 104 / 105 99.90%
pm 3261.67 -inf 105 / 105 0 / 105 17.59%
rrwm 2895.5 -inf 105 / 105 0 / 105 9.71%
sm 3788.75 -inf 105 / 105 0 / 105 8.63%
smac 2816.89 -inf 105 / 105 0 / 105 31.21%

Run time 300s

method avg value avg bound feasible optimal accuracy
dd-ls0 -3778.13 -3779.12 105 / 105 105 / 105 100.00%
dd-ls3 -3778.13 -3778.42 105 / 105 105 / 105 100.00%
dd-ls4 -3778.13 -3778.47 105 / 105 105 / 105 100.00%
fgmd -3542.48 -inf 105 / 105 81 / 105 89.27%
fm-bca -3778.13 -3778.13 105 / 105 105 / 105 100.00%
fm -3778.13 -4078.39 105 / 105 105 / 105 100.00%
fw -3778.13 -inf 105 / 105 105 / 105 100.00%
ga 3491.47 -inf 105 / 105 0 / 105 7.97%
hbp -3778.13 -3806.42 105 / 105 105 / 105 100.00%
ipfps 3654.44 -inf 105 / 105 0 / 105 7.97%
ipfpu 3658.68 -inf 105 / 105 0 / 105 8.10%
lsm 2390.72 -inf 105 / 105 0 / 105 18.19%
mp -3776.66 -3780.08 105 / 105 104 / 105 99.81%
mp-fw -3778.13 -3778.16 105 / 105 105 / 105 100.00%
mpm 1260.42 -inf 105 / 105 0 / 105 53.33%
mp-mcf -3778.13 -3778.16 105 / 105 105 / 105 100.00%
pm 3261.67 -inf 105 / 105 0 / 105 17.59%
rrwm 2895.5 -inf 105 / 105 0 / 105 9.71%
sm 3788.75 -inf 105 / 105 0 / 105 8.63%
smac 2816.89 -inf 105 / 105 0 / 105 31.21%

Per Instance Results

Results for individual instances of the dataset are also available: