A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense18”

This page shows the benchmarks results for the dataset instance “house-dense18”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3763.96.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3763.96 -3765.52 yes 100.00%
dd-ls3 -3763.96 -3764.02 yes 100.00%
dd-ls4 -3763.96 -3786.14 yes 100.00%
fgmd inf -inf no
fm-bca -3763.96 -3763.96 yes 100.00%
fm -3763.96 -4078.5 yes 100.00%
fw -3763.96 -inf yes 100.00%
ga 3788.22 -inf no 10.00%
hbp -3763.96 -3795.8 yes 100.00%
ipfps 3987.62 -inf no 10.00%
ipfpu 3987.62 -inf no 10.00%
lsm inf -inf no
mp -3763.96 -3763.96 yes 100.00%
mp-fw -3763.96 -3812.74 yes 100.00%
mpm 1317.99 -inf no 56.67%
mp-mcf -3763.96 -3778.67 yes 100.00%
pm 3084.55 -inf no 16.67%
rrwm 3203.46 -inf no 6.67%
sm 3945.25 -inf no 10.00%
smac 2359.82 -inf no 40.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3763.96 -3765.52 yes 100.00%
dd-ls3 -3763.96 -3764.02 yes 100.00%
dd-ls4 -3763.96 -3764.08 yes 100.00%
fgmd inf -inf no
fm-bca -3763.96 -3763.96 yes 100.00%
fm -3763.96 -4078.5 yes 100.00%
fw -3763.96 -inf yes 100.00%
ga 3788.22 -inf no 10.00%
hbp -3763.96 -3795.8 yes 100.00%
ipfps 3987.62 -inf no 10.00%
ipfpu 3987.62 -inf no 10.00%
lsm 3227.8 -inf no 16.67%
mp -3763.96 -3763.96 yes 100.00%
mp-fw -3763.96 -3763.96 yes 100.00%
mpm 1317.99 -inf no 56.67%
mp-mcf -3763.96 -3763.96 yes 100.00%
pm 3084.55 -inf no 16.67%
rrwm 3203.46 -inf no 6.67%
sm 3945.25 -inf no 10.00%
smac 2359.82 -inf no 40.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3763.96 -3765.52 yes 100.00%
dd-ls3 -3763.96 -3764.02 yes 100.00%
dd-ls4 -3763.96 -3764.08 yes 100.00%
fgmd -3763.96 -inf yes 100.00%
fm-bca -3763.96 -3763.96 yes 100.00%
fm -3763.96 -4078.5 yes 100.00%
fw -3763.96 -inf yes 100.00%
ga 3788.22 -inf no 10.00%
hbp -3763.96 -3795.8 yes 100.00%
ipfps 3987.62 -inf no 10.00%
ipfpu 3987.62 -inf no 10.00%
lsm 3227.8 -inf no 16.67%
mp -3763.96 -3763.96 yes 100.00%
mp-fw -3763.96 -3763.96 yes 100.00%
mpm 1317.99 -inf no 56.67%
mp-mcf -3763.96 -3763.96 yes 100.00%
pm 3084.55 -inf no 16.67%
rrwm 3203.46 -inf no 6.67%
sm 3945.25 -inf no 10.00%
smac 2359.82 -inf no 40.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3763.96 -3765.52 yes 100.00%
dd-ls3 -3763.96 -3764.02 yes 100.00%
dd-ls4 -3763.96 -3764.08 yes 100.00%
fgmd -3763.96 -inf yes 100.00%
fm-bca -3763.96 -3763.96 yes 100.00%
fm -3763.96 -4078.5 yes 100.00%
fw -3763.96 -inf yes 100.00%
ga 3788.22 -inf no 10.00%
hbp -3763.96 -3795.8 yes 100.00%
ipfps 3987.62 -inf no 10.00%
ipfpu 3987.62 -inf no 10.00%
lsm 3227.8 -inf no 16.67%
mp -3763.96 -3763.96 yes 100.00%
mp-fw -3763.96 -3763.96 yes 100.00%
mpm 1317.99 -inf no 56.67%
mp-mcf -3763.96 -3763.96 yes 100.00%
pm 3084.55 -inf no 16.67%
rrwm 3203.46 -inf no 6.67%
sm 3945.25 -inf no 10.00%
smac 2359.82 -inf no 40.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: