A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense98”

This page shows the benchmarks results for the dataset instance “house-dense98”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3774.96.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3774.96 -3775.22 yes 100.00%
dd-ls3 -3774.96 -3775.4 yes 100.00%
dd-ls4 -3774.96 -3784.03 yes 100.00%
fgmd inf -inf no
fm-bca -3774.96 -3774.96 yes 100.00%
fm -3774.96 -4061.09 yes 100.00%
fw -3774.96 -inf yes 100.00%
ga 3629.48 -inf no 3.33%
hbp -3774.96 -3801.3 yes 100.00%
ipfps 3715.5 -inf no 3.33%
ipfpu 3715.5 -inf no 3.33%
lsm inf -inf no
mp -3774.96 -3776.52 yes 100.00%
mp-fw -3774.96 -3832.62 yes 100.00%
mpm 1080.77 -inf no 53.33%
mp-mcf -3535.26 -3820.51 no 86.67%
pm 3210.55 -inf no 16.67%
rrwm 3024.62 -inf no 3.33%
sm 3539.02 -inf no 6.67%
smac 2487.96 -inf no 36.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3774.96 -3775.22 yes 100.00%
dd-ls3 -3774.96 -3775.4 yes 100.00%
dd-ls4 -3774.96 -3775.48 yes 100.00%
fgmd inf -inf no
fm-bca -3774.96 -3774.96 yes 100.00%
fm -3774.96 -4061.09 yes 100.00%
fw -3774.96 -inf yes 100.00%
ga 3629.48 -inf no 3.33%
hbp -3774.96 -3801.3 yes 100.00%
ipfps 3715.5 -inf no 3.33%
ipfpu 3715.5 -inf no 3.33%
lsm 1981.21 -inf no 20.00%
mp -3774.96 -3774.96 yes 100.00%
mp-fw -3774.96 -3781.24 yes 100.00%
mpm 1080.77 -inf no 53.33%
mp-mcf -3774.96 -3777.9 yes 100.00%
pm 3210.55 -inf no 16.67%
rrwm 3024.62 -inf no 3.33%
sm 3539.02 -inf no 6.67%
smac 2487.96 -inf no 36.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3774.96 -3775.22 yes 100.00%
dd-ls3 -3774.96 -3775.4 yes 100.00%
dd-ls4 -3774.96 -3775.48 yes 100.00%
fgmd -3774.96 -inf yes 100.00%
fm-bca -3774.96 -3774.96 yes 100.00%
fm -3774.96 -4061.09 yes 100.00%
fw -3774.96 -inf yes 100.00%
ga 3629.48 -inf no 3.33%
hbp -3774.96 -3801.3 yes 100.00%
ipfps 3715.5 -inf no 3.33%
ipfpu 3715.5 -inf no 3.33%
lsm 1981.21 -inf no 20.00%
mp -3774.96 -3774.96 yes 100.00%
mp-fw -3774.96 -3774.96 yes 100.00%
mpm 1080.77 -inf no 53.33%
mp-mcf -3774.96 -3774.96 yes 100.00%
pm 3210.55 -inf no 16.67%
rrwm 3024.62 -inf no 3.33%
sm 3539.02 -inf no 6.67%
smac 2487.96 -inf no 36.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3774.96 -3775.22 yes 100.00%
dd-ls3 -3774.96 -3775.4 yes 100.00%
dd-ls4 -3774.96 -3775.48 yes 100.00%
fgmd -3774.96 -inf yes 100.00%
fm-bca -3774.96 -3774.96 yes 100.00%
fm -3774.96 -4061.09 yes 100.00%
fw -3774.96 -inf yes 100.00%
ga 3629.48 -inf no 3.33%
hbp -3774.96 -3801.3 yes 100.00%
ipfps 3715.5 -inf no 3.33%
ipfpu 3715.5 -inf no 3.33%
lsm 1981.21 -inf no 20.00%
mp -3774.96 -3774.96 yes 100.00%
mp-fw -3774.96 -3774.96 yes 100.00%
mpm 1080.77 -inf no 53.33%
mp-mcf -3774.96 -3774.96 yes 100.00%
pm 3210.55 -inf no 16.67%
rrwm 3024.62 -inf no 3.33%
sm 3539.02 -inf no 6.67%
smac 2487.96 -inf no 36.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: