A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense105”

This page shows the benchmarks results for the dataset instance “house-dense105”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3772.12.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3772.12 -3773.52 yes 100.00%
dd-ls3 -3772.12 -3772.32 yes 100.00%
dd-ls4 -3772.12 -3776.13 yes 100.00%
fgmd inf -inf no
fm-bca -3772.12 -3772.12 yes 100.00%
fm -3772.12 -4057.99 yes 100.00%
fw -3772.12 -inf yes 100.00%
ga 3641.09 -inf no 6.67%
hbp -3772.12 -3799.78 yes 100.00%
ipfps 3627.37 -inf no 10.00%
ipfpu 3627.37 -inf no 10.00%
lsm inf -inf no
mp -3772.12 -3772.12 yes 100.00%
mp-fw -3772.12 -3836.92 yes 100.00%
mpm 1233.63 -inf no 56.67%
mp-mcf -3772.12 -3830.4 yes 100.00%
pm 3410.21 -inf no 16.67%
rrwm 3615.13 -inf no 6.67%
sm 3744.11 -inf no 10.00%
smac 3747.11 -inf no 23.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3772.12 -3773.52 yes 100.00%
dd-ls3 -3772.12 -3772.32 yes 100.00%
dd-ls4 -3772.12 -3772.61 yes 100.00%
fgmd inf -inf no
fm-bca -3772.12 -3772.12 yes 100.00%
fm -3772.12 -4057.99 yes 100.00%
fw -3772.12 -inf yes 100.00%
ga 3641.09 -inf no 6.67%
hbp -3772.12 -3799.78 yes 100.00%
ipfps 3627.37 -inf no 10.00%
ipfpu 3627.37 -inf no 10.00%
lsm 3050.62 -inf no 16.67%
mp -3772.12 -3772.12 yes 100.00%
mp-fw -3772.12 -3786.79 yes 100.00%
mpm 1233.63 -inf no 56.67%
mp-mcf -3772.12 -3772.12 yes 100.00%
pm 3410.21 -inf no 16.67%
rrwm 3615.13 -inf no 6.67%
sm 3744.11 -inf no 10.00%
smac 3747.11 -inf no 23.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3772.12 -3773.52 yes 100.00%
dd-ls3 -3772.12 -3772.32 yes 100.00%
dd-ls4 -3772.12 -3772.61 yes 100.00%
fgmd -3772.12 -inf yes 100.00%
fm-bca -3772.12 -3772.12 yes 100.00%
fm -3772.12 -4057.99 yes 100.00%
fw -3772.12 -inf yes 100.00%
ga 3641.09 -inf no 6.67%
hbp -3772.12 -3799.78 yes 100.00%
ipfps 3627.37 -inf no 10.00%
ipfpu 3627.37 -inf no 10.00%
lsm 3050.62 -inf no 16.67%
mp -3772.12 -3772.12 yes 100.00%
mp-fw -3772.12 -3772.12 yes 100.00%
mpm 1233.63 -inf no 56.67%
mp-mcf -3772.12 -3772.12 yes 100.00%
pm 3410.21 -inf no 16.67%
rrwm 3615.13 -inf no 6.67%
sm 3744.11 -inf no 10.00%
smac 3747.11 -inf no 23.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3772.12 -3773.52 yes 100.00%
dd-ls3 -3772.12 -3772.32 yes 100.00%
dd-ls4 -3772.12 -3772.61 yes 100.00%
fgmd -3772.12 -inf yes 100.00%
fm-bca -3772.12 -3772.12 yes 100.00%
fm -3772.12 -4057.99 yes 100.00%
fw -3772.12 -inf yes 100.00%
ga 3641.09 -inf no 6.67%
hbp -3772.12 -3799.78 yes 100.00%
ipfps 3627.37 -inf no 10.00%
ipfpu 3627.37 -inf no 10.00%
lsm 3050.62 -inf no 16.67%
mp -3772.12 -3772.12 yes 100.00%
mp-fw -3772.12 -3772.12 yes 100.00%
mpm 1233.63 -inf no 56.67%
mp-mcf -3772.12 -3772.12 yes 100.00%
pm 3410.21 -inf no 16.67%
rrwm 3615.13 -inf no 6.67%
sm 3744.11 -inf no 10.00%
smac 3747.11 -inf no 23.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: