A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense63”

This page shows the benchmarks results for the dataset instance “house-dense63”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3781.51.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3781.51 -3781.78 yes 100.00%
dd-ls3 -3781.51 -3781.59 yes 100.00%
dd-ls4 -3781.51 -3797.17 yes 100.00%
fgmd inf -inf no
fm-bca -3781.51 -3781.51 yes 100.00%
fm -3781.51 -4074.04 yes 100.00%
fw -3781.51 -inf yes 100.00%
ga 3169.66 -inf no 6.67%
hbp -3781.51 -3812.19 yes 100.00%
ipfps 3169.66 -inf no 6.67%
ipfpu 3169.66 -inf no 6.67%
lsm inf -inf no
mp -3781.51 -3781.51 yes 100.00%
mp-fw -3781.51 -3794.59 yes 100.00%
mpm 344.362 -inf no 53.33%
mp-mcf -3781.51 -3789.45 yes 100.00%
pm 3287.36 -inf no 16.67%
rrwm 2424.5 -inf no 10.00%
sm 3380.5 -inf no 3.33%
smac 3853.11 -inf no 26.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3781.51 -3781.78 yes 100.00%
dd-ls3 -3781.51 -3781.59 yes 100.00%
dd-ls4 -3781.51 -3781.68 yes 100.00%
fgmd inf -inf no
fm-bca -3781.51 -3781.51 yes 100.00%
fm -3781.51 -4074.04 yes 100.00%
fw -3781.51 -inf yes 100.00%
ga 3169.66 -inf no 6.67%
hbp -3781.51 -3812.19 yes 100.00%
ipfps 3169.66 -inf no 6.67%
ipfpu 3169.66 -inf no 6.67%
lsm 3725.18 -inf no 16.67%
mp -3781.51 -3781.51 yes 100.00%
mp-fw -3781.51 -3781.51 yes 100.00%
mpm 344.362 -inf no 53.33%
mp-mcf -3781.51 -3781.51 yes 100.00%
pm 3287.36 -inf no 16.67%
rrwm 2424.5 -inf no 10.00%
sm 3380.5 -inf no 3.33%
smac 3853.11 -inf no 26.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3781.51 -3781.78 yes 100.00%
dd-ls3 -3781.51 -3781.59 yes 100.00%
dd-ls4 -3781.51 -3781.68 yes 100.00%
fgmd -2886.42 -inf no 56.67%
fm-bca -3781.51 -3781.51 yes 100.00%
fm -3781.51 -4074.04 yes 100.00%
fw -3781.51 -inf yes 100.00%
ga 3169.66 -inf no 6.67%
hbp -3781.51 -3812.19 yes 100.00%
ipfps 3169.66 -inf no 6.67%
ipfpu 3169.66 -inf no 6.67%
lsm 3725.18 -inf no 16.67%
mp -3781.51 -3781.51 yes 100.00%
mp-fw -3781.51 -3781.51 yes 100.00%
mpm 344.362 -inf no 53.33%
mp-mcf -3781.51 -3781.51 yes 100.00%
pm 3287.36 -inf no 16.67%
rrwm 2424.5 -inf no 10.00%
sm 3380.5 -inf no 3.33%
smac 3853.11 -inf no 26.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3781.51 -3781.78 yes 100.00%
dd-ls3 -3781.51 -3781.59 yes 100.00%
dd-ls4 -3781.51 -3781.68 yes 100.00%
fgmd -2886.42 -inf no 56.67%
fm-bca -3781.51 -3781.51 yes 100.00%
fm -3781.51 -4074.04 yes 100.00%
fw -3781.51 -inf yes 100.00%
ga 3169.66 -inf no 6.67%
hbp -3781.51 -3812.19 yes 100.00%
ipfps 3169.66 -inf no 6.67%
ipfpu 3169.66 -inf no 6.67%
lsm 3725.18 -inf no 16.67%
mp -3781.51 -3781.51 yes 100.00%
mp-fw -3781.51 -3781.51 yes 100.00%
mpm 344.362 -inf no 53.33%
mp-mcf -3781.51 -3781.51 yes 100.00%
pm 3287.36 -inf no 16.67%
rrwm 2424.5 -inf no 10.00%
sm 3380.5 -inf no 3.33%
smac 3853.11 -inf no 26.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: