A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense6”

This page shows the benchmarks results for the dataset instance “house-dense6”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3761.74.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3761.74 -3762.77 yes 100.00%
dd-ls3 -3761.74 -3761.88 yes 100.00%
dd-ls4 -3761.74 -3771.88 yes 100.00%
fgmd inf -inf no
fm-bca -3761.74 -3761.74 yes 100.00%
fm -3761.74 -4074.53 yes 100.00%
fw -3761.74 -inf yes 100.00%
ga 3315.6 -inf no 6.67%
hbp -3761.74 -3785.45 yes 100.00%
ipfps 3476.29 -inf no 10.00%
ipfpu 3476.29 -inf no 10.00%
lsm inf -inf no
mp -3761.74 -3761.74 yes 100.00%
mp-fw -3761.74 -3832.51 yes 100.00%
mpm 2756.86 -inf no 46.67%
mp-mcf -3482.42 -3797.36 no 86.67%
pm 3454.2 -inf no 13.33%
rrwm 3037.45 -inf no 6.67%
sm 4125.71 -inf no 10.00%
smac 4195.77 -inf no 23.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3761.74 -3762.77 yes 100.00%
dd-ls3 -3761.74 -3761.88 yes 100.00%
dd-ls4 -3761.74 -3762.02 yes 100.00%
fgmd inf -inf no
fm-bca -3761.74 -3761.74 yes 100.00%
fm -3761.74 -4074.53 yes 100.00%
fw -3761.74 -inf yes 100.00%
ga 3315.6 -inf no 6.67%
hbp -3761.74 -3785.45 yes 100.00%
ipfps 3476.29 -inf no 10.00%
ipfpu 3476.29 -inf no 10.00%
lsm 656.337 -inf no 20.00%
mp -3761.74 -3761.74 yes 100.00%
mp-fw -3761.74 -3772.09 yes 100.00%
mpm 2756.86 -inf no 46.67%
mp-mcf -3761.74 -3761.74 yes 100.00%
pm 3454.2 -inf no 13.33%
rrwm 3037.45 -inf no 6.67%
sm 4125.71 -inf no 10.00%
smac 4195.77 -inf no 23.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3761.74 -3762.77 yes 100.00%
dd-ls3 -3761.74 -3761.88 yes 100.00%
dd-ls4 -3761.74 -3762.02 yes 100.00%
fgmd -3761.74 -inf yes 100.00%
fm-bca -3761.74 -3761.74 yes 100.00%
fm -3761.74 -4074.53 yes 100.00%
fw -3761.74 -inf yes 100.00%
ga 3315.6 -inf no 6.67%
hbp -3761.74 -3785.45 yes 100.00%
ipfps 3476.29 -inf no 10.00%
ipfpu 3476.29 -inf no 10.00%
lsm 656.337 -inf no 20.00%
mp -3761.74 -3761.74 yes 100.00%
mp-fw -3761.74 -3761.74 yes 100.00%
mpm 2756.86 -inf no 46.67%
mp-mcf -3761.74 -3761.74 yes 100.00%
pm 3454.2 -inf no 13.33%
rrwm 3037.45 -inf no 6.67%
sm 4125.71 -inf no 10.00%
smac 4195.77 -inf no 23.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3761.74 -3762.77 yes 100.00%
dd-ls3 -3761.74 -3761.88 yes 100.00%
dd-ls4 -3761.74 -3762.02 yes 100.00%
fgmd -3761.74 -inf yes 100.00%
fm-bca -3761.74 -3761.74 yes 100.00%
fm -3761.74 -4074.53 yes 100.00%
fw -3761.74 -inf yes 100.00%
ga 3315.6 -inf no 6.67%
hbp -3761.74 -3785.45 yes 100.00%
ipfps 3476.29 -inf no 10.00%
ipfpu 3476.29 -inf no 10.00%
lsm 656.337 -inf no 20.00%
mp -3761.74 -3761.74 yes 100.00%
mp-fw -3761.74 -3761.74 yes 100.00%
mpm 2756.86 -inf no 46.67%
mp-mcf -3761.74 -3761.74 yes 100.00%
pm 3454.2 -inf no 13.33%
rrwm 3037.45 -inf no 6.67%
sm 4125.71 -inf no 10.00%
smac 4195.77 -inf no 23.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: