A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense10”

This page shows the benchmarks results for the dataset instance “house-dense10”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3766.17.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3766.17 -3766.89 yes 100.00%
dd-ls3 -3766.17 -3766.22 yes 100.00%
dd-ls4 -3766.17 -3777.58 yes 100.00%
fgmd inf -inf no
fm-bca -3766.17 -3766.17 yes 100.00%
fm -3766.17 -4086.94 yes 100.00%
fw -3766.17 -inf yes 100.00%
ga 3383.01 -inf no 6.67%
hbp -3766.17 -3795.28 yes 100.00%
ipfps 3710.26 -inf no 6.67%
ipfpu 3710.26 -inf no 6.67%
lsm inf -inf no
mp -3766.17 -3766.17 yes 100.00%
mp-fw -3766.17 -3844.13 yes 100.00%
mpm 1577.08 -inf no 40.00%
mp-mcf -3576.65 -3822.86 no 93.33%
pm 3480.72 -inf no 23.33%
rrwm 2935.73 -inf no 6.67%
sm 3597.15 -inf no 6.67%
smac 3818.73 -inf no 40.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3766.17 -3766.89 yes 100.00%
dd-ls3 -3766.17 -3766.22 yes 100.00%
dd-ls4 -3766.17 -3766.21 yes 100.00%
fgmd inf -inf no
fm-bca -3766.17 -3766.17 yes 100.00%
fm -3766.17 -4086.94 yes 100.00%
fw -3766.17 -inf yes 100.00%
ga 3383.01 -inf no 6.67%
hbp -3766.17 -3795.28 yes 100.00%
ipfps 3710.26 -inf no 6.67%
ipfpu 3710.26 -inf no 6.67%
lsm 521.809 -inf no 36.67%
mp -3766.17 -3766.17 yes 100.00%
mp-fw -3766.17 -3768.61 yes 100.00%
mpm 1577.08 -inf no 40.00%
mp-mcf -3766.17 -3766.17 yes 100.00%
pm 3480.72 -inf no 23.33%
rrwm 2935.73 -inf no 6.67%
sm 3597.15 -inf no 6.67%
smac 3818.73 -inf no 40.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3766.17 -3766.89 yes 100.00%
dd-ls3 -3766.17 -3766.22 yes 100.00%
dd-ls4 -3766.17 -3766.21 yes 100.00%
fgmd -3766.17 -inf yes 100.00%
fm-bca -3766.17 -3766.17 yes 100.00%
fm -3766.17 -4086.94 yes 100.00%
fw -3766.17 -inf yes 100.00%
ga 3383.01 -inf no 6.67%
hbp -3766.17 -3795.28 yes 100.00%
ipfps 3710.26 -inf no 6.67%
ipfpu 3710.26 -inf no 6.67%
lsm 521.809 -inf no 36.67%
mp -3766.17 -3766.17 yes 100.00%
mp-fw -3766.17 -3766.17 yes 100.00%
mpm 1577.08 -inf no 40.00%
mp-mcf -3766.17 -3766.17 yes 100.00%
pm 3480.72 -inf no 23.33%
rrwm 2935.73 -inf no 6.67%
sm 3597.15 -inf no 6.67%
smac 3818.73 -inf no 40.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3766.17 -3766.89 yes 100.00%
dd-ls3 -3766.17 -3766.22 yes 100.00%
dd-ls4 -3766.17 -3766.21 yes 100.00%
fgmd -3766.17 -inf yes 100.00%
fm-bca -3766.17 -3766.17 yes 100.00%
fm -3766.17 -4086.94 yes 100.00%
fw -3766.17 -inf yes 100.00%
ga 3383.01 -inf no 6.67%
hbp -3766.17 -3795.28 yes 100.00%
ipfps 3710.26 -inf no 6.67%
ipfpu 3710.26 -inf no 6.67%
lsm 521.809 -inf no 36.67%
mp -3766.17 -3766.17 yes 100.00%
mp-fw -3766.17 -3766.17 yes 100.00%
mpm 1577.08 -inf no 40.00%
mp-mcf -3766.17 -3766.17 yes 100.00%
pm 3480.72 -inf no 23.33%
rrwm 2935.73 -inf no 6.67%
sm 3597.15 -inf no 6.67%
smac 3818.73 -inf no 40.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: