A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense46”

This page shows the benchmarks results for the dataset instance “house-dense46”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3781.83.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3781.83 -3783.02 yes 100.00%
dd-ls3 -3781.83 -3782.41 yes 100.00%
dd-ls4 -3781.83 -3808.18 yes 100.00%
fgmd inf -inf no
fm-bca -3781.83 -3786.02 yes 100.00%
fm -3781.83 -4082.77 yes 100.00%
fw -3781.83 -inf yes 100.00%
ga 3584.21 -inf no 6.67%
hbp -3781.83 -3816.53 yes 100.00%
ipfps 3584.21 -inf no 6.67%
ipfpu 3584.21 -inf no 6.67%
lsm inf -inf no
mp -3781.83 -3798.06 yes 100.00%
mp-fw -3781.83 -3862.57 yes 100.00%
mpm 1710.46 -inf no 50.00%
mp-mcf -3512.58 -3852.59 no 86.67%
pm 3126 -inf no 23.33%
rrwm 2591.58 -inf no 10.00%
sm 3833.98 -inf no 13.33%
smac 2333.9 -inf no 26.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3781.83 -3783.02 yes 100.00%
dd-ls3 -3781.83 -3781.87 yes 100.00%
dd-ls4 -3781.83 -3781.95 yes 100.00%
fgmd inf -inf no
fm-bca -3781.83 -3781.83 yes 100.00%
fm -3781.83 -4082.77 yes 100.00%
fw -3781.83 -inf yes 100.00%
ga 3584.21 -inf no 6.67%
hbp -3781.83 -3816.53 yes 100.00%
ipfps 3584.21 -inf no 6.67%
ipfpu 3584.21 -inf no 6.67%
lsm 937.671 -inf no 16.67%
mp -3781.83 -3795.97 yes 100.00%
mp-fw -3781.83 -3809.28 yes 100.00%
mpm 1710.46 -inf no 50.00%
mp-mcf -3512.58 -3794.98 no 86.67%
pm 3126 -inf no 23.33%
rrwm 2591.58 -inf no 10.00%
sm 3833.98 -inf no 13.33%
smac 2333.9 -inf no 26.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3781.83 -3783.02 yes 100.00%
dd-ls3 -3781.83 -3781.87 yes 100.00%
dd-ls4 -3781.83 -3781.95 yes 100.00%
fgmd -3781.83 -inf yes 100.00%
fm-bca -3781.83 -3781.83 yes 100.00%
fm -3781.83 -4082.77 yes 100.00%
fw -3781.83 -inf yes 100.00%
ga 3584.21 -inf no 6.67%
hbp -3781.83 -3816.53 yes 100.00%
ipfps 3584.21 -inf no 6.67%
ipfpu 3584.21 -inf no 6.67%
lsm 937.671 -inf no 16.67%
mp -3781.83 -3795.97 yes 100.00%
mp-fw -3781.83 -3781.83 yes 100.00%
mpm 1710.46 -inf no 50.00%
mp-mcf -3781.83 -3781.83 yes 100.00%
pm 3126 -inf no 23.33%
rrwm 2591.58 -inf no 10.00%
sm 3833.98 -inf no 13.33%
smac 2333.9 -inf no 26.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3781.83 -3783.02 yes 100.00%
dd-ls3 -3781.83 -3781.87 yes 100.00%
dd-ls4 -3781.83 -3781.95 yes 100.00%
fgmd -3781.83 -inf yes 100.00%
fm-bca -3781.83 -3781.83 yes 100.00%
fm -3781.83 -4082.77 yes 100.00%
fw -3781.83 -inf yes 100.00%
ga 3584.21 -inf no 6.67%
hbp -3781.83 -3816.53 yes 100.00%
ipfps 3584.21 -inf no 6.67%
ipfpu 3584.21 -inf no 6.67%
lsm 937.671 -inf no 16.67%
mp -3781.83 -3795.97 yes 100.00%
mp-fw -3781.83 -3781.83 yes 100.00%
mpm 1710.46 -inf no 50.00%
mp-mcf -3781.83 -3781.83 yes 100.00%
pm 3126 -inf no 23.33%
rrwm 2591.58 -inf no 10.00%
sm 3833.98 -inf no 13.33%
smac 2333.9 -inf no 26.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: