A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense36”

This page shows the benchmarks results for the dataset instance “house-dense36”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3770.58.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3770.58 -3770.78 yes 100.00%
dd-ls3 -3770.58 -3770.65 yes 100.00%
dd-ls4 -3770.58 -3789.08 yes 100.00%
fgmd inf -inf no
fm-bca -3770.58 -3775.01 yes 100.00%
fm -3770.58 -4079.48 yes 100.00%
fw -3770.58 -inf yes 100.00%
ga 3605.91 -inf no 10.00%
hbp -3770.58 -3802.33 yes 100.00%
ipfps 4112.1 -inf no 10.00%
ipfpu 4112.1 -inf no 10.00%
lsm inf -inf no
mp -3770.58 -3778.09 yes 100.00%
mp-fw -3770.58 -3865.26 yes 100.00%
mpm 664.158 -inf no 60.00%
mp-mcf -3394.33 -3835.07 no 80.00%
pm 3171.57 -inf no 6.67%
rrwm 3272.86 -inf no 13.33%
sm 4112.1 -inf no 10.00%
smac 2719.15 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3770.58 -3770.78 yes 100.00%
dd-ls3 -3770.58 -3770.6 yes 100.00%
dd-ls4 -3770.58 -3770.59 yes 100.00%
fgmd inf -inf no
fm-bca -3770.58 -3770.58 yes 100.00%
fm -3770.58 -4079.48 yes 100.00%
fw -3770.58 -inf yes 100.00%
ga 3605.91 -inf no 10.00%
hbp -3770.58 -3802.33 yes 100.00%
ipfps 4112.1 -inf no 10.00%
ipfpu 4112.1 -inf no 10.00%
lsm 2878.29 -inf no 20.00%
mp -3770.58 -3776.75 yes 100.00%
mp-fw -3770.58 -3776.16 yes 100.00%
mpm 664.158 -inf no 60.00%
mp-mcf -3770.58 -3770.58 yes 100.00%
pm 3171.57 -inf no 6.67%
rrwm 3272.86 -inf no 13.33%
sm 4112.1 -inf no 10.00%
smac 2719.15 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3770.58 -3770.78 yes 100.00%
dd-ls3 -3770.58 -3770.6 yes 100.00%
dd-ls4 -3770.58 -3770.59 yes 100.00%
fgmd -3770.58 -inf yes 100.00%
fm-bca -3770.58 -3770.58 yes 100.00%
fm -3770.58 -4079.48 yes 100.00%
fw -3770.58 -inf yes 100.00%
ga 3605.91 -inf no 10.00%
hbp -3770.58 -3802.33 yes 100.00%
ipfps 4112.1 -inf no 10.00%
ipfpu 4112.1 -inf no 10.00%
lsm 2878.29 -inf no 20.00%
mp -3770.58 -3776.75 yes 100.00%
mp-fw -3770.58 -3770.58 yes 100.00%
mpm 664.158 -inf no 60.00%
mp-mcf -3770.58 -3770.58 yes 100.00%
pm 3171.57 -inf no 6.67%
rrwm 3272.86 -inf no 13.33%
sm 4112.1 -inf no 10.00%
smac 2719.15 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3770.58 -3770.78 yes 100.00%
dd-ls3 -3770.58 -3770.6 yes 100.00%
dd-ls4 -3770.58 -3770.59 yes 100.00%
fgmd -3770.58 -inf yes 100.00%
fm-bca -3770.58 -3770.58 yes 100.00%
fm -3770.58 -4079.48 yes 100.00%
fw -3770.58 -inf yes 100.00%
ga 3605.91 -inf no 10.00%
hbp -3770.58 -3802.33 yes 100.00%
ipfps 4112.1 -inf no 10.00%
ipfpu 4112.1 -inf no 10.00%
lsm 2878.29 -inf no 20.00%
mp -3770.58 -3776.75 yes 100.00%
mp-fw -3770.58 -3770.58 yes 100.00%
mpm 664.158 -inf no 60.00%
mp-mcf -3770.58 -3770.58 yes 100.00%
pm 3171.57 -inf no 6.67%
rrwm 3272.86 -inf no 13.33%
sm 4112.1 -inf no 10.00%
smac 2719.15 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: