A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense25”

This page shows the benchmarks results for the dataset instance “house-dense25”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3757.48.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3757.48 -3759.16 yes 100.00%
dd-ls3 -3757.48 -3757.66 yes 100.00%
dd-ls4 -3757.48 -3764.52 yes 100.00%
fgmd inf -inf no
fm-bca -3757.48 -3762.24 yes 100.00%
fm -3757.48 -4101.21 yes 100.00%
fw -3757.48 -inf yes 100.00%
ga 3760.94 -inf no 3.33%
hbp -3757.48 -3781.56 yes 100.00%
ipfps 3760.94 -inf no 3.33%
ipfpu 3760.94 -inf no 3.33%
lsm inf -inf no
mp -3757.48 -3758.25 yes 100.00%
mp-fw -3757.48 -3878.95 yes 100.00%
mpm 2145.9 -inf no 53.33%
mp-mcf -3356.5 -3831.45 no 80.00%
pm 3431.1 -inf no 16.67%
rrwm 3175.76 -inf no 3.33%
sm 3805.05 -inf no 3.33%
smac 3518.43 -inf no 23.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3757.48 -3759.16 yes 100.00%
dd-ls3 -3757.48 -3757.66 yes 100.00%
dd-ls4 -3757.48 -3757.71 yes 100.00%
fgmd inf -inf no
fm-bca -3757.48 -3757.48 yes 100.00%
fm -3757.48 -4101.21 yes 100.00%
fw -3757.48 -inf yes 100.00%
ga 3760.94 -inf no 3.33%
hbp -3757.48 -3781.56 yes 100.00%
ipfps 3760.94 -inf no 3.33%
ipfpu 3760.94 -inf no 3.33%
lsm 1119.82 -inf no 23.33%
mp -3757.48 -3757.48 yes 100.00%
mp-fw -3757.48 -3773.27 yes 100.00%
mpm 2145.9 -inf no 53.33%
mp-mcf -3757.48 -3757.48 yes 100.00%
pm 3431.1 -inf no 16.67%
rrwm 3175.76 -inf no 3.33%
sm 3805.05 -inf no 3.33%
smac 3518.43 -inf no 23.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3757.48 -3759.16 yes 100.00%
dd-ls3 -3757.48 -3757.66 yes 100.00%
dd-ls4 -3757.48 -3757.71 yes 100.00%
fgmd -3757.48 -inf yes 100.00%
fm-bca -3757.48 -3757.48 yes 100.00%
fm -3757.48 -4101.21 yes 100.00%
fw -3757.48 -inf yes 100.00%
ga 3760.94 -inf no 3.33%
hbp -3757.48 -3781.56 yes 100.00%
ipfps 3760.94 -inf no 3.33%
ipfpu 3760.94 -inf no 3.33%
lsm 1119.82 -inf no 23.33%
mp -3757.48 -3757.48 yes 100.00%
mp-fw -3757.48 -3757.48 yes 100.00%
mpm 2145.9 -inf no 53.33%
mp-mcf -3757.48 -3757.48 yes 100.00%
pm 3431.1 -inf no 16.67%
rrwm 3175.76 -inf no 3.33%
sm 3805.05 -inf no 3.33%
smac 3518.43 -inf no 23.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3757.48 -3759.16 yes 100.00%
dd-ls3 -3757.48 -3757.66 yes 100.00%
dd-ls4 -3757.48 -3757.71 yes 100.00%
fgmd -3757.48 -inf yes 100.00%
fm-bca -3757.48 -3757.48 yes 100.00%
fm -3757.48 -4101.21 yes 100.00%
fw -3757.48 -inf yes 100.00%
ga 3760.94 -inf no 3.33%
hbp -3757.48 -3781.56 yes 100.00%
ipfps 3760.94 -inf no 3.33%
ipfpu 3760.94 -inf no 3.33%
lsm 1119.82 -inf no 23.33%
mp -3757.48 -3757.48 yes 100.00%
mp-fw -3757.48 -3757.48 yes 100.00%
mpm 2145.9 -inf no 53.33%
mp-mcf -3757.48 -3757.48 yes 100.00%
pm 3431.1 -inf no 16.67%
rrwm 3175.76 -inf no 3.33%
sm 3805.05 -inf no 3.33%
smac 3518.43 -inf no 23.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: