A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense16”

This page shows the benchmarks results for the dataset instance “house-dense16”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3808.47.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3808.47 -3808.81 yes 100.00%
dd-ls3 -3808.47 -3808.6 yes 100.00%
dd-ls4 -3808.47 -3836.25 yes 100.00%
fgmd inf -inf no
fm-bca -3808.47 -3808.47 yes 100.00%
fm -3808.47 -4091.33 yes 100.00%
fw -3808.47 -inf yes 100.00%
ga 3608.96 -inf no 3.33%
hbp -3808.47 -3831.84 yes 100.00%
ipfps 3561.39 -inf no 3.33%
ipfpu 3561.39 -inf no 3.33%
lsm inf -inf no
mp -3808.47 -3808.47 yes 100.00%
mp-fw -3808.47 -3883.79 yes 100.00%
mpm 1354.33 -inf no 53.33%
mp-mcf -3808.47 -3815.46 yes 100.00%
pm 3571.18 -inf no 13.33%
rrwm 2573.78 -inf no 10.00%
sm 3659.69 -inf no 13.33%
smac 2716.29 -inf no 30.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3808.47 -3808.81 yes 100.00%
dd-ls3 -3808.47 -3808.6 yes 100.00%
dd-ls4 -3808.47 -3808.66 yes 100.00%
fgmd inf -inf no
fm-bca -3808.47 -3808.47 yes 100.00%
fm -3808.47 -4091.33 yes 100.00%
fw -3808.47 -inf yes 100.00%
ga 3608.96 -inf no 3.33%
hbp -3808.47 -3831.84 yes 100.00%
ipfps 3561.39 -inf no 3.33%
ipfpu 3561.39 -inf no 3.33%
lsm 2502.25 -inf no 20.00%
mp -3808.47 -3808.47 yes 100.00%
mp-fw -3808.47 -3808.47 yes 100.00%
mpm 1354.33 -inf no 53.33%
mp-mcf -3808.47 -3808.47 yes 100.00%
pm 3571.18 -inf no 13.33%
rrwm 2573.78 -inf no 10.00%
sm 3659.69 -inf no 13.33%
smac 2716.29 -inf no 30.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3808.47 -3808.81 yes 100.00%
dd-ls3 -3808.47 -3808.6 yes 100.00%
dd-ls4 -3808.47 -3808.66 yes 100.00%
fgmd -3808.47 -inf yes 100.00%
fm-bca -3808.47 -3808.47 yes 100.00%
fm -3808.47 -4091.33 yes 100.00%
fw -3808.47 -inf yes 100.00%
ga 3608.96 -inf no 3.33%
hbp -3808.47 -3831.84 yes 100.00%
ipfps 3561.39 -inf no 3.33%
ipfpu 3561.39 -inf no 3.33%
lsm 2502.25 -inf no 20.00%
mp -3808.47 -3808.47 yes 100.00%
mp-fw -3808.47 -3808.47 yes 100.00%
mpm 1354.33 -inf no 53.33%
mp-mcf -3808.47 -3808.47 yes 100.00%
pm 3571.18 -inf no 13.33%
rrwm 2573.78 -inf no 10.00%
sm 3659.69 -inf no 13.33%
smac 2716.29 -inf no 30.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3808.47 -3808.81 yes 100.00%
dd-ls3 -3808.47 -3808.6 yes 100.00%
dd-ls4 -3808.47 -3808.66 yes 100.00%
fgmd -3808.47 -inf yes 100.00%
fm-bca -3808.47 -3808.47 yes 100.00%
fm -3808.47 -4091.33 yes 100.00%
fw -3808.47 -inf yes 100.00%
ga 3608.96 -inf no 3.33%
hbp -3808.47 -3831.84 yes 100.00%
ipfps 3561.39 -inf no 3.33%
ipfpu 3561.39 -inf no 3.33%
lsm 2502.25 -inf no 20.00%
mp -3808.47 -3808.47 yes 100.00%
mp-fw -3808.47 -3808.47 yes 100.00%
mpm 1354.33 -inf no 53.33%
mp-mcf -3808.47 -3808.47 yes 100.00%
pm 3571.18 -inf no 13.33%
rrwm 2573.78 -inf no 10.00%
sm 3659.69 -inf no 13.33%
smac 2716.29 -inf no 30.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: