A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense90”

This page shows the benchmarks results for the dataset instance “house-dense90”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3745.16.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3745.16 -3747.48 yes 100.00%
dd-ls3 -3745.16 -3745.19 yes 100.00%
dd-ls4 -3745.16 -3751.93 yes 100.00%
fgmd inf -inf no
fm-bca -3745.16 -3745.16 yes 100.00%
fm -3745.16 -4042.19 yes 100.00%
fw -3745.16 -inf yes 100.00%
ga 3629.45 -inf no 6.67%
hbp -3745.16 -3776.16 yes 100.00%
ipfps 3615.61 -inf no 10.00%
ipfpu 3615.61 -inf no 10.00%
lsm inf -inf no
mp -3745.16 -3745.16 yes 100.00%
mp-fw -3745.16 -3809.68 yes 100.00%
mpm 1928.77 -inf no 50.00%
mp-mcf -3466.27 -3790.38 no 86.67%
pm 3257.62 -inf no 23.33%
rrwm 2955.23 -inf no 13.33%
sm 3472.06 -inf no 3.33%
smac 3244.21 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3745.16 -3747.48 yes 100.00%
dd-ls3 -3745.16 -3745.19 yes 100.00%
dd-ls4 -3745.16 -3745.23 yes 100.00%
fgmd inf -inf no
fm-bca -3745.16 -3745.16 yes 100.00%
fm -3745.16 -4042.19 yes 100.00%
fw -3745.16 -inf yes 100.00%
ga 3629.45 -inf no 6.67%
hbp -3745.16 -3776.16 yes 100.00%
ipfps 3615.61 -inf no 10.00%
ipfpu 3615.61 -inf no 10.00%
lsm 2341.63 -inf no 16.67%
mp -3745.16 -3745.16 yes 100.00%
mp-fw -3745.16 -3768.32 yes 100.00%
mpm 1928.77 -inf no 50.00%
mp-mcf -3745.16 -3755.03 yes 100.00%
pm 3257.62 -inf no 23.33%
rrwm 2955.23 -inf no 13.33%
sm 3472.06 -inf no 3.33%
smac 3244.21 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3745.16 -3747.48 yes 100.00%
dd-ls3 -3745.16 -3745.19 yes 100.00%
dd-ls4 -3745.16 -3745.23 yes 100.00%
fgmd -2725.65 -inf no 56.67%
fm-bca -3745.16 -3745.16 yes 100.00%
fm -3745.16 -4042.19 yes 100.00%
fw -3745.16 -inf yes 100.00%
ga 3629.45 -inf no 6.67%
hbp -3745.16 -3776.16 yes 100.00%
ipfps 3615.61 -inf no 10.00%
ipfpu 3615.61 -inf no 10.00%
lsm 2341.63 -inf no 16.67%
mp -3745.16 -3745.16 yes 100.00%
mp-fw -3745.16 -3745.16 yes 100.00%
mpm 1928.77 -inf no 50.00%
mp-mcf -3745.16 -3745.16 yes 100.00%
pm 3257.62 -inf no 23.33%
rrwm 2955.23 -inf no 13.33%
sm 3472.06 -inf no 3.33%
smac 3244.21 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3745.16 -3747.48 yes 100.00%
dd-ls3 -3745.16 -3745.19 yes 100.00%
dd-ls4 -3745.16 -3745.23 yes 100.00%
fgmd -2725.65 -inf no 56.67%
fm-bca -3745.16 -3745.16 yes 100.00%
fm -3745.16 -4042.19 yes 100.00%
fw -3745.16 -inf yes 100.00%
ga 3629.45 -inf no 6.67%
hbp -3745.16 -3776.16 yes 100.00%
ipfps 3615.61 -inf no 10.00%
ipfpu 3615.61 -inf no 10.00%
lsm 2341.63 -inf no 16.67%
mp -3745.16 -3745.16 yes 100.00%
mp-fw -3745.16 -3745.16 yes 100.00%
mpm 1928.77 -inf no 50.00%
mp-mcf -3745.16 -3745.16 yes 100.00%
pm 3257.62 -inf no 23.33%
rrwm 2955.23 -inf no 13.33%
sm 3472.06 -inf no 3.33%
smac 3244.21 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: