A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense66”

This page shows the benchmarks results for the dataset instance “house-dense66”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3748.61.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3748.61 -3749.04 yes 100.00%
dd-ls3 -3748.61 -3755.85 yes 100.00%
dd-ls4 -3748.61 -3756.32 yes 100.00%
fgmd inf -inf no
fm-bca -3748.61 -3748.61 yes 100.00%
fm -3748.61 -4055.43 yes 100.00%
fw -3748.61 -inf yes 100.00%
ga 3726.4 -inf no 10.00%
hbp -3748.61 -3782 yes 100.00%
ipfps 3726.4 -inf no 10.00%
ipfpu 3726.4 -inf no 10.00%
lsm inf -inf no
mp -3748.61 -3748.61 yes 100.00%
mp-fw -3748.61 -3843.12 yes 100.00%
mpm 1650.93 -inf no 63.33%
mp-mcf -3482.22 -3838.8 no 86.67%
pm 3097.03 -inf no 20.00%
rrwm 2726.72 -inf no 16.67%
sm 3671.13 -inf no 13.33%
smac 3801.68 -inf no 26.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3748.61 -3749.04 yes 100.00%
dd-ls3 -3748.61 -3748.64 yes 100.00%
dd-ls4 -3748.61 -3748.94 yes 100.00%
fgmd inf -inf no
fm-bca -3748.61 -3748.61 yes 100.00%
fm -3748.61 -4055.43 yes 100.00%
fw -3748.61 -inf yes 100.00%
ga 3726.4 -inf no 10.00%
hbp -3748.61 -3782 yes 100.00%
ipfps 3726.4 -inf no 10.00%
ipfpu 3726.4 -inf no 10.00%
lsm 2527.17 -inf no 16.67%
mp -3748.61 -3748.61 yes 100.00%
mp-fw -3748.61 -3768.59 yes 100.00%
mpm 1650.93 -inf no 63.33%
mp-mcf -3748.61 -3756.9 yes 100.00%
pm 3097.03 -inf no 20.00%
rrwm 2726.72 -inf no 16.67%
sm 3671.13 -inf no 13.33%
smac 3801.68 -inf no 26.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3748.61 -3749.04 yes 100.00%
dd-ls3 -3748.61 -3748.64 yes 100.00%
dd-ls4 -3748.61 -3748.94 yes 100.00%
fgmd -2862.2 -inf no 60.00%
fm-bca -3748.61 -3748.61 yes 100.00%
fm -3748.61 -4055.43 yes 100.00%
fw -3748.61 -inf yes 100.00%
ga 3726.4 -inf no 10.00%
hbp -3748.61 -3782 yes 100.00%
ipfps 3726.4 -inf no 10.00%
ipfpu 3726.4 -inf no 10.00%
lsm 2527.17 -inf no 16.67%
mp -3748.61 -3748.61 yes 100.00%
mp-fw -3748.61 -3748.61 yes 100.00%
mpm 1650.93 -inf no 63.33%
mp-mcf -3748.61 -3748.61 yes 100.00%
pm 3097.03 -inf no 20.00%
rrwm 2726.72 -inf no 16.67%
sm 3671.13 -inf no 13.33%
smac 3801.68 -inf no 26.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3748.61 -3749.04 yes 100.00%
dd-ls3 -3748.61 -3748.64 yes 100.00%
dd-ls4 -3748.61 -3748.94 yes 100.00%
fgmd -2862.2 -inf no 60.00%
fm-bca -3748.61 -3748.61 yes 100.00%
fm -3748.61 -4055.43 yes 100.00%
fw -3748.61 -inf yes 100.00%
ga 3726.4 -inf no 10.00%
hbp -3748.61 -3782 yes 100.00%
ipfps 3726.4 -inf no 10.00%
ipfpu 3726.4 -inf no 10.00%
lsm 2527.17 -inf no 16.67%
mp -3748.61 -3748.61 yes 100.00%
mp-fw -3748.61 -3748.61 yes 100.00%
mpm 1650.93 -inf no 63.33%
mp-mcf -3748.61 -3748.61 yes 100.00%
pm 3097.03 -inf no 20.00%
rrwm 2726.72 -inf no 16.67%
sm 3671.13 -inf no 13.33%
smac 3801.68 -inf no 26.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: