A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense32”

This page shows the benchmarks results for the dataset instance “house-dense32”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3779.95.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3779.95 -3780.75 yes 100.00%
dd-ls3 -3779.95 -3780.09 yes 100.00%
dd-ls4 -3478.6 -3811.55 no 86.67%
fgmd inf -inf no
fm-bca -3779.95 -3779.98 yes 100.00%
fm -3779.95 -4104.44 yes 100.00%
fw -3779.95 -inf yes 100.00%
ga 3573.39 -inf no 16.67%
hbp -3779.95 -3811.17 yes 100.00%
ipfps 3814.7 -inf no 16.67%
ipfpu 3814.7 -inf no 16.67%
lsm inf -inf no
mp -3779.95 -3788.91 yes 100.00%
mp-fw -3779.95 -3874.79 yes 100.00%
mpm 1966.08 -inf no 50.00%
mp-mcf -3504.17 -3844.92 no 86.67%
pm 3344.48 -inf no 16.67%
rrwm 3404.3 -inf no 16.67%
sm 3992.28 -inf no 13.33%
smac 2247.7 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3779.95 -3780.75 yes 100.00%
dd-ls3 -3779.95 -3780.09 yes 100.00%
dd-ls4 -3779.95 -3780.08 yes 100.00%
fgmd inf -inf no
fm-bca -3779.95 -3779.95 yes 100.00%
fm -3779.95 -4104.44 yes 100.00%
fw -3779.95 -inf yes 100.00%
ga 3573.39 -inf no 16.67%
hbp -3779.95 -3811.17 yes 100.00%
ipfps 3814.7 -inf no 16.67%
ipfpu 3814.7 -inf no 16.67%
lsm -241.022 -inf no 33.33%
mp -3779.95 -3788.2 yes 100.00%
mp-fw -3779.95 -3779.95 yes 100.00%
mpm 1966.08 -inf no 50.00%
mp-mcf -3779.95 -3779.95 yes 100.00%
pm 3344.48 -inf no 16.67%
rrwm 3404.3 -inf no 16.67%
sm 3992.28 -inf no 13.33%
smac 2247.7 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3779.95 -3780.75 yes 100.00%
dd-ls3 -3779.95 -3780.09 yes 100.00%
dd-ls4 -3779.95 -3780.08 yes 100.00%
fgmd -2996.29 -inf no 66.67%
fm-bca -3779.95 -3779.95 yes 100.00%
fm -3779.95 -4104.44 yes 100.00%
fw -3779.95 -inf yes 100.00%
ga 3573.39 -inf no 16.67%
hbp -3779.95 -3811.17 yes 100.00%
ipfps 3814.7 -inf no 16.67%
ipfpu 3814.7 -inf no 16.67%
lsm -241.022 -inf no 33.33%
mp -3779.95 -3788.2 yes 100.00%
mp-fw -3779.95 -3779.95 yes 100.00%
mpm 1966.08 -inf no 50.00%
mp-mcf -3779.95 -3779.95 yes 100.00%
pm 3344.48 -inf no 16.67%
rrwm 3404.3 -inf no 16.67%
sm 3992.28 -inf no 13.33%
smac 2247.7 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3779.95 -3780.75 yes 100.00%
dd-ls3 -3779.95 -3780.09 yes 100.00%
dd-ls4 -3779.95 -3780.08 yes 100.00%
fgmd -2996.29 -inf no 66.67%
fm-bca -3779.95 -3779.95 yes 100.00%
fm -3779.95 -4104.44 yes 100.00%
fw -3779.95 -inf yes 100.00%
ga 3573.39 -inf no 16.67%
hbp -3779.95 -3811.17 yes 100.00%
ipfps 3814.7 -inf no 16.67%
ipfpu 3814.7 -inf no 16.67%
lsm -241.022 -inf no 33.33%
mp -3779.95 -3788.2 yes 100.00%
mp-fw -3779.95 -3779.95 yes 100.00%
mpm 1966.08 -inf no 50.00%
mp-mcf -3779.95 -3779.95 yes 100.00%
pm 3344.48 -inf no 16.67%
rrwm 3404.3 -inf no 16.67%
sm 3992.28 -inf no 13.33%
smac 2247.7 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: