A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense8”

This page shows the benchmarks results for the dataset instance “house-dense8”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3807.53.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3807.53 -3808.21 yes 100.00%
dd-ls3 -3807.53 -3807.58 yes 100.00%
dd-ls4 -3807.53 -3807.74 yes 100.00%
fgmd inf -inf no
fm-bca -3807.53 -3807.53 yes 100.00%
fm -3807.53 -4077.41 yes 100.00%
fw -3807.53 -inf yes 100.00%
ga 3549.97 -inf no 10.00%
hbp -3807.53 -3830.33 yes 100.00%
ipfps 3597.62 -inf no 6.67%
ipfpu 3597.62 -inf no 6.67%
lsm inf -inf no
mp -3807.53 -3807.53 yes 100.00%
mp-fw -3807.53 -3824.49 yes 100.00%
mpm 774.81 -inf no 60.00%
mp-mcf -3603.54 -3814.45 no 93.33%
pm 3444.5 -inf no 10.00%
rrwm 2990.41 -inf no 13.33%
sm 3867.56 -inf no 6.67%
smac 2727.21 -inf no 40.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3807.53 -3808.21 yes 100.00%
dd-ls3 -3807.53 -3807.58 yes 100.00%
dd-ls4 -3807.53 -3807.74 yes 100.00%
fgmd inf -inf no
fm-bca -3807.53 -3807.53 yes 100.00%
fm -3807.53 -4077.41 yes 100.00%
fw -3807.53 -inf yes 100.00%
ga 3549.97 -inf no 10.00%
hbp -3807.53 -3830.33 yes 100.00%
ipfps 3597.62 -inf no 6.67%
ipfpu 3597.62 -inf no 6.67%
lsm 2961.1 -inf no 20.00%
mp -3807.53 -3807.53 yes 100.00%
mp-fw -3807.53 -3807.53 yes 100.00%
mpm 774.81 -inf no 60.00%
mp-mcf -3807.53 -3807.53 yes 100.00%
pm 3444.5 -inf no 10.00%
rrwm 2990.41 -inf no 13.33%
sm 3867.56 -inf no 6.67%
smac 2727.21 -inf no 40.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3807.53 -3808.21 yes 100.00%
dd-ls3 -3807.53 -3807.58 yes 100.00%
dd-ls4 -3807.53 -3807.74 yes 100.00%
fgmd -3807.53 -inf yes 100.00%
fm-bca -3807.53 -3807.53 yes 100.00%
fm -3807.53 -4077.41 yes 100.00%
fw -3807.53 -inf yes 100.00%
ga 3549.97 -inf no 10.00%
hbp -3807.53 -3830.33 yes 100.00%
ipfps 3597.62 -inf no 6.67%
ipfpu 3597.62 -inf no 6.67%
lsm 2961.1 -inf no 20.00%
mp -3807.53 -3807.53 yes 100.00%
mp-fw -3807.53 -3807.53 yes 100.00%
mpm 774.81 -inf no 60.00%
mp-mcf -3807.53 -3807.53 yes 100.00%
pm 3444.5 -inf no 10.00%
rrwm 2990.41 -inf no 13.33%
sm 3867.56 -inf no 6.67%
smac 2727.21 -inf no 40.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3807.53 -3808.21 yes 100.00%
dd-ls3 -3807.53 -3807.58 yes 100.00%
dd-ls4 -3807.53 -3807.74 yes 100.00%
fgmd -3807.53 -inf yes 100.00%
fm-bca -3807.53 -3807.53 yes 100.00%
fm -3807.53 -4077.41 yes 100.00%
fw -3807.53 -inf yes 100.00%
ga 3549.97 -inf no 10.00%
hbp -3807.53 -3830.33 yes 100.00%
ipfps 3597.62 -inf no 6.67%
ipfpu 3597.62 -inf no 6.67%
lsm 2961.1 -inf no 20.00%
mp -3807.53 -3807.53 yes 100.00%
mp-fw -3807.53 -3807.53 yes 100.00%
mpm 774.81 -inf no 60.00%
mp-mcf -3807.53 -3807.53 yes 100.00%
pm 3444.5 -inf no 10.00%
rrwm 2990.41 -inf no 13.33%
sm 3867.56 -inf no 6.67%
smac 2727.21 -inf no 40.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: