A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense88”

This page shows the benchmarks results for the dataset instance “house-dense88”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3774.99.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3774.99 -3775.55 yes 100.00%
dd-ls3 -3774.99 -3775.03 yes 100.00%
dd-ls4 -3774.99 -3781.31 yes 100.00%
fgmd inf -inf no
fm-bca -3774.99 -3774.99 yes 100.00%
fm -3774.99 -4062.81 yes 100.00%
fw -3774.99 -inf yes 100.00%
ga 3509.18 -inf no 3.33%
hbp -3774.99 -3802.23 yes 100.00%
ipfps 3881.05 -inf no 3.33%
ipfpu 3881.05 -inf no 3.33%
lsm inf -inf no
mp -3774.99 -3774.99 yes 100.00%
mp-fw -3774.99 -3845.79 yes 100.00%
mpm 865.796 -inf no 56.67%
mp-mcf -2936.81 -3843.48 no 83.33%
pm 3204.53 -inf no 20.00%
rrwm 2963.41 -inf no 0.00%
sm 3542.52 -inf no 10.00%
smac 3207.87 -inf no 36.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3774.99 -3775.55 yes 100.00%
dd-ls3 -3774.99 -3775.03 yes 100.00%
dd-ls4 -3774.99 -3775.01 yes 100.00%
fgmd inf -inf no
fm-bca -3774.99 -3774.99 yes 100.00%
fm -3774.99 -4062.81 yes 100.00%
fw -3774.99 -inf yes 100.00%
ga 3509.18 -inf no 3.33%
hbp -3774.99 -3802.23 yes 100.00%
ipfps 3881.05 -inf no 3.33%
ipfpu 3881.05 -inf no 3.33%
lsm 2617.25 -inf no 13.33%
mp -3774.99 -3774.99 yes 100.00%
mp-fw -3774.99 -3800.55 yes 100.00%
mpm 865.796 -inf no 56.67%
mp-mcf -3256.67 -3791.26 no 86.67%
pm 3204.53 -inf no 20.00%
rrwm 2963.41 -inf no 0.00%
sm 3542.52 -inf no 10.00%
smac 3207.87 -inf no 36.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3774.99 -3775.55 yes 100.00%
dd-ls3 -3774.99 -3775.03 yes 100.00%
dd-ls4 -3774.99 -3775.01 yes 100.00%
fgmd -2749.18 -inf no 56.67%
fm-bca -3774.99 -3774.99 yes 100.00%
fm -3774.99 -4062.81 yes 100.00%
fw -3774.99 -inf yes 100.00%
ga 3509.18 -inf no 3.33%
hbp -3774.99 -3802.23 yes 100.00%
ipfps 3881.05 -inf no 3.33%
ipfpu 3881.05 -inf no 3.33%
lsm 2617.25 -inf no 13.33%
mp -3774.99 -3774.99 yes 100.00%
mp-fw -3774.99 -3774.99 yes 100.00%
mpm 865.796 -inf no 56.67%
mp-mcf -3774.99 -3774.99 yes 100.00%
pm 3204.53 -inf no 20.00%
rrwm 2963.41 -inf no 0.00%
sm 3542.52 -inf no 10.00%
smac 3207.87 -inf no 36.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3774.99 -3775.55 yes 100.00%
dd-ls3 -3774.99 -3775.03 yes 100.00%
dd-ls4 -3774.99 -3775.01 yes 100.00%
fgmd -2749.18 -inf no 56.67%
fm-bca -3774.99 -3774.99 yes 100.00%
fm -3774.99 -4062.81 yes 100.00%
fw -3774.99 -inf yes 100.00%
ga 3509.18 -inf no 3.33%
hbp -3774.99 -3802.23 yes 100.00%
ipfps 3881.05 -inf no 3.33%
ipfpu 3881.05 -inf no 3.33%
lsm 2617.25 -inf no 13.33%
mp -3774.99 -3774.99 yes 100.00%
mp-fw -3774.99 -3774.99 yes 100.00%
mpm 865.796 -inf no 56.67%
mp-mcf -3774.99 -3774.99 yes 100.00%
pm 3204.53 -inf no 20.00%
rrwm 2963.41 -inf no 0.00%
sm 3542.52 -inf no 10.00%
smac 3207.87 -inf no 36.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: