A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense84”

This page shows the benchmarks results for the dataset instance “house-dense84”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3761.22.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3761.22 -3761.26 yes 100.00%
dd-ls3 -3761.22 -3761.23 yes 100.00%
dd-ls4 -3761.22 -3770.65 yes 100.00%
fgmd inf -inf no
fm-bca -3761.22 -3761.22 yes 100.00%
fm -3761.22 -4058.18 yes 100.00%
fw -3761.22 -inf yes 100.00%
ga 3539.8 -inf no 3.33%
hbp -3761.22 -3796.15 yes 100.00%
ipfps 3510.36 -inf no 3.33%
ipfpu 3510.36 -inf no 3.33%
lsm inf -inf no
mp -3761.22 -3769.16 yes 100.00%
mp-fw -3761.22 -3814.25 yes 100.00%
mpm -29.9855 -inf no 63.33%
mp-mcf -3397.85 -3811.14 no 80.00%
pm 3146.02 -inf no 20.00%
rrwm 3054.71 -inf no 3.33%
sm 3854.96 -inf no 6.67%
smac 4010.88 -inf no 26.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3761.22 -3761.26 yes 100.00%
dd-ls3 -3761.22 -3761.23 yes 100.00%
dd-ls4 -3761.22 -3761.66 yes 100.00%
fgmd inf -inf no
fm-bca -3761.22 -3761.22 yes 100.00%
fm -3761.22 -4058.18 yes 100.00%
fw -3761.22 -inf yes 100.00%
ga 3539.8 -inf no 3.33%
hbp -3761.22 -3796.15 yes 100.00%
ipfps 3510.36 -inf no 3.33%
ipfpu 3510.36 -inf no 3.33%
lsm 3831.12 -inf no 13.33%
mp -3761.22 -3766.28 yes 100.00%
mp-fw -3761.22 -3784.68 yes 100.00%
mpm -29.9855 -inf no 63.33%
mp-mcf -3761.22 -3782.48 yes 100.00%
pm 3146.02 -inf no 20.00%
rrwm 3054.71 -inf no 3.33%
sm 3854.96 -inf no 6.67%
smac 4010.88 -inf no 26.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3761.22 -3761.26 yes 100.00%
dd-ls3 -3761.22 -3761.23 yes 100.00%
dd-ls4 -3761.22 -3761.66 yes 100.00%
fgmd -3761.22 -inf yes 100.00%
fm-bca -3761.22 -3761.22 yes 100.00%
fm -3761.22 -4058.18 yes 100.00%
fw -3761.22 -inf yes 100.00%
ga 3539.8 -inf no 3.33%
hbp -3761.22 -3796.15 yes 100.00%
ipfps 3510.36 -inf no 3.33%
ipfpu 3510.36 -inf no 3.33%
lsm 3831.12 -inf no 13.33%
mp -3761.22 -3766.22 yes 100.00%
mp-fw -3761.22 -3772.68 yes 100.00%
mpm -29.9855 -inf no 63.33%
mp-mcf -3761.22 -3772.43 yes 100.00%
pm 3146.02 -inf no 20.00%
rrwm 3054.71 -inf no 3.33%
sm 3854.96 -inf no 6.67%
smac 4010.88 -inf no 26.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3761.22 -3761.26 yes 100.00%
dd-ls3 -3761.22 -3761.23 yes 100.00%
dd-ls4 -3761.22 -3761.66 yes 100.00%
fgmd -3761.22 -inf yes 100.00%
fm-bca -3761.22 -3761.22 yes 100.00%
fm -3761.22 -4058.18 yes 100.00%
fw -3761.22 -inf yes 100.00%
ga 3539.8 -inf no 3.33%
hbp -3761.22 -3796.15 yes 100.00%
ipfps 3510.36 -inf no 3.33%
ipfpu 3510.36 -inf no 3.33%
lsm 3831.12 -inf no 13.33%
mp -3761.22 -3766.22 yes 100.00%
mp-fw -3761.22 -3763.05 yes 100.00%
mpm -29.9855 -inf no 63.33%
mp-mcf -3761.22 -3762.82 yes 100.00%
pm 3146.02 -inf no 20.00%
rrwm 3054.71 -inf no 3.33%
sm 3854.96 -inf no 6.67%
smac 4010.88 -inf no 26.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: