A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense69”

This page shows the benchmarks results for the dataset instance “house-dense69”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3766.79.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3766.79 -3766.97 yes 100.00%
dd-ls3 -3766.79 -3766.87 yes 100.00%
dd-ls4 -3766.79 -3786.06 yes 100.00%
fgmd inf -inf no
fm-bca -3766.79 -3766.79 yes 100.00%
fm -3766.79 -4079.61 yes 100.00%
fw -3766.79 -inf yes 100.00%
ga 3782.86 -inf no 10.00%
hbp -3766.79 -3799.02 yes 100.00%
ipfps 4025.81 -inf no 10.00%
ipfpu 4025.81 -inf no 10.00%
lsm inf -inf no
mp -3766.79 -3770.34 yes 100.00%
mp-fw -3766.79 -3849.35 yes 100.00%
mpm 76.5063 -inf no 56.67%
mp-mcf -3497.18 -3847.64 no 86.67%
pm 3562.37 -inf no 16.67%
rrwm 3181.1 -inf no 6.67%
sm 4143.64 -inf no 10.00%
smac 3401.02 -inf no 23.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3766.79 -3766.97 yes 100.00%
dd-ls3 -3766.79 -3766.87 yes 100.00%
dd-ls4 -3766.79 -3768.24 yes 100.00%
fgmd inf -inf no
fm-bca -3766.79 -3766.79 yes 100.00%
fm -3766.79 -4079.61 yes 100.00%
fw -3766.79 -inf yes 100.00%
ga 3782.86 -inf no 10.00%
hbp -3766.79 -3799.02 yes 100.00%
ipfps 4025.81 -inf no 10.00%
ipfpu 4025.81 -inf no 10.00%
lsm 2196.8 -inf no 16.67%
mp -3766.79 -3766.79 yes 100.00%
mp-fw -3766.79 -3778.93 yes 100.00%
mpm 76.5063 -inf no 56.67%
mp-mcf -3766.79 -3776.21 yes 100.00%
pm 3562.37 -inf no 16.67%
rrwm 3181.1 -inf no 6.67%
sm 4143.64 -inf no 10.00%
smac 3401.02 -inf no 23.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3766.79 -3766.97 yes 100.00%
dd-ls3 -3766.79 -3766.87 yes 100.00%
dd-ls4 -3766.79 -3768.24 yes 100.00%
fgmd -3766.79 -inf yes 100.00%
fm-bca -3766.79 -3766.79 yes 100.00%
fm -3766.79 -4079.61 yes 100.00%
fw -3766.79 -inf yes 100.00%
ga 3782.86 -inf no 10.00%
hbp -3766.79 -3799.02 yes 100.00%
ipfps 4025.81 -inf no 10.00%
ipfpu 4025.81 -inf no 10.00%
lsm 2196.8 -inf no 16.67%
mp -3766.79 -3766.79 yes 100.00%
mp-fw -3766.79 -3766.79 yes 100.00%
mpm 76.5063 -inf no 56.67%
mp-mcf -3766.79 -3766.79 yes 100.00%
pm 3562.37 -inf no 16.67%
rrwm 3181.1 -inf no 6.67%
sm 4143.64 -inf no 10.00%
smac 3401.02 -inf no 23.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3766.79 -3766.97 yes 100.00%
dd-ls3 -3766.79 -3766.87 yes 100.00%
dd-ls4 -3766.79 -3768.24 yes 100.00%
fgmd -3766.79 -inf yes 100.00%
fm-bca -3766.79 -3766.79 yes 100.00%
fm -3766.79 -4079.61 yes 100.00%
fw -3766.79 -inf yes 100.00%
ga 3782.86 -inf no 10.00%
hbp -3766.79 -3799.02 yes 100.00%
ipfps 4025.81 -inf no 10.00%
ipfpu 4025.81 -inf no 10.00%
lsm 2196.8 -inf no 16.67%
mp -3766.79 -3766.79 yes 100.00%
mp-fw -3766.79 -3766.79 yes 100.00%
mpm 76.5063 -inf no 56.67%
mp-mcf -3766.79 -3766.79 yes 100.00%
pm 3562.37 -inf no 16.67%
rrwm 3181.1 -inf no 6.67%
sm 4143.64 -inf no 10.00%
smac 3401.02 -inf no 23.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: