A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense22”

This page shows the benchmarks results for the dataset instance “house-dense22”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3769.21.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3769.21 -3771.52 yes 100.00%
dd-ls3 -3769.21 -3769.3 yes 100.00%
dd-ls4 -3769.21 -3795.39 yes 100.00%
fgmd inf -inf no
fm-bca -3769.21 -3770.39 yes 100.00%
fm -3769.21 -4093.07 yes 100.00%
fw -3769.21 -inf yes 100.00%
ga 3493.79 -inf no 6.67%
hbp -3769.21 -3801.98 yes 100.00%
ipfps 3855.64 -inf no 10.00%
ipfpu 3855.64 -inf no 10.00%
lsm inf -inf no
mp -3769.21 -3785.44 yes 100.00%
mp-fw -3769.21 -3868.42 yes 100.00%
mpm 2005.37 -inf no 46.67%
mp-mcf -3495.42 -3826.86 no 86.67%
pm 3375.46 -inf no 20.00%
rrwm 3306.64 -inf no 6.67%
sm 4116.31 -inf no 13.33%
smac 3050.44 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3769.21 -3771.52 yes 100.00%
dd-ls3 -3769.21 -3769.3 yes 100.00%
dd-ls4 -3769.21 -3769.24 yes 100.00%
fgmd inf -inf no
fm-bca -3769.21 -3769.21 yes 100.00%
fm -3769.21 -4093.07 yes 100.00%
fw -3769.21 -inf yes 100.00%
ga 3493.79 -inf no 6.67%
hbp -3769.21 -3801.98 yes 100.00%
ipfps 3855.64 -inf no 10.00%
ipfpu 3855.64 -inf no 10.00%
lsm 2263.89 -inf no 36.67%
mp -3769.21 -3781.96 yes 100.00%
mp-fw -3769.21 -3775.84 yes 100.00%
mpm 2005.37 -inf no 46.67%
mp-mcf -3769.21 -3773.1 yes 100.00%
pm 3375.46 -inf no 20.00%
rrwm 3306.64 -inf no 6.67%
sm 4116.31 -inf no 13.33%
smac 3050.44 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3769.21 -3771.52 yes 100.00%
dd-ls3 -3769.21 -3769.3 yes 100.00%
dd-ls4 -3769.21 -3769.24 yes 100.00%
fgmd -3769.21 -inf yes 100.00%
fm-bca -3769.21 -3769.21 yes 100.00%
fm -3769.21 -4093.07 yes 100.00%
fw -3769.21 -inf yes 100.00%
ga 3493.79 -inf no 6.67%
hbp -3769.21 -3801.98 yes 100.00%
ipfps 3855.64 -inf no 10.00%
ipfpu 3855.64 -inf no 10.00%
lsm 2263.89 -inf no 36.67%
mp -3769.21 -3781.95 yes 100.00%
mp-fw -3769.21 -3769.21 yes 100.00%
mpm 2005.37 -inf no 46.67%
mp-mcf -3769.21 -3769.21 yes 100.00%
pm 3375.46 -inf no 20.00%
rrwm 3306.64 -inf no 6.67%
sm 4116.31 -inf no 13.33%
smac 3050.44 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3769.21 -3771.52 yes 100.00%
dd-ls3 -3769.21 -3769.3 yes 100.00%
dd-ls4 -3769.21 -3769.24 yes 100.00%
fgmd -3769.21 -inf yes 100.00%
fm-bca -3769.21 -3769.21 yes 100.00%
fm -3769.21 -4093.07 yes 100.00%
fw -3769.21 -inf yes 100.00%
ga 3493.79 -inf no 6.67%
hbp -3769.21 -3801.98 yes 100.00%
ipfps 3855.64 -inf no 10.00%
ipfpu 3855.64 -inf no 10.00%
lsm 2263.89 -inf no 36.67%
mp -3769.21 -3781.95 yes 100.00%
mp-fw -3769.21 -3769.21 yes 100.00%
mpm 2005.37 -inf no 46.67%
mp-mcf -3769.21 -3769.21 yes 100.00%
pm 3375.46 -inf no 20.00%
rrwm 3306.64 -inf no 6.67%
sm 4116.31 -inf no 13.33%
smac 3050.44 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: