A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense100”

This page shows the benchmarks results for the dataset instance “house-dense100”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3821.69.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3821.69 -3821.79 yes 100.00%
dd-ls3 -3821.69 -3821.84 yes 100.00%
dd-ls4 -3821.69 -3837.53 yes 100.00%
fgmd inf -inf no
fm-bca -3821.69 -3821.69 yes 100.00%
fm -3821.69 -4081.13 yes 100.00%
fw -3821.69 -inf yes 100.00%
ga 4002.55 -inf no 3.33%
hbp -3821.69 -3845.59 yes 100.00%
ipfps 4002.55 -inf no 3.33%
ipfpu 4002.55 -inf no 3.33%
lsm inf -inf no
mp -3821.69 -3821.69 yes 100.00%
mp-fw -3821.69 -3875.82 yes 100.00%
mpm 1168.02 -inf no 46.67%
mp-mcf -3821.69 -3853.48 yes 100.00%
pm 3627.06 -inf no 16.67%
rrwm 3547.6 -inf no 3.33%
sm 3975.83 -inf no 3.33%
smac 1418.66 -inf no 50.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3821.69 -3821.79 yes 100.00%
dd-ls3 -3821.69 -3821.84 yes 100.00%
dd-ls4 -3821.69 -3821.96 yes 100.00%
fgmd inf -inf no
fm-bca -3821.69 -3821.69 yes 100.00%
fm -3821.69 -4081.13 yes 100.00%
fw -3821.69 -inf yes 100.00%
ga 4002.55 -inf no 3.33%
hbp -3821.69 -3845.59 yes 100.00%
ipfps 4002.55 -inf no 3.33%
ipfpu 4002.55 -inf no 3.33%
lsm 1357.95 -inf no 23.33%
mp -3821.69 -3821.69 yes 100.00%
mp-fw -3821.69 -3821.69 yes 100.00%
mpm 1168.02 -inf no 46.67%
mp-mcf -3821.69 -3821.69 yes 100.00%
pm 3627.06 -inf no 16.67%
rrwm 3547.6 -inf no 3.33%
sm 3975.83 -inf no 3.33%
smac 1418.66 -inf no 50.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3821.69 -3821.79 yes 100.00%
dd-ls3 -3821.69 -3821.84 yes 100.00%
dd-ls4 -3821.69 -3821.96 yes 100.00%
fgmd -3821.69 -inf yes 100.00%
fm-bca -3821.69 -3821.69 yes 100.00%
fm -3821.69 -4081.13 yes 100.00%
fw -3821.69 -inf yes 100.00%
ga 4002.55 -inf no 3.33%
hbp -3821.69 -3845.59 yes 100.00%
ipfps 4002.55 -inf no 3.33%
ipfpu 4002.55 -inf no 3.33%
lsm 1357.95 -inf no 23.33%
mp -3821.69 -3821.69 yes 100.00%
mp-fw -3821.69 -3821.69 yes 100.00%
mpm 1168.02 -inf no 46.67%
mp-mcf -3821.69 -3821.69 yes 100.00%
pm 3627.06 -inf no 16.67%
rrwm 3547.6 -inf no 3.33%
sm 3975.83 -inf no 3.33%
smac 1418.66 -inf no 50.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3821.69 -3821.79 yes 100.00%
dd-ls3 -3821.69 -3821.84 yes 100.00%
dd-ls4 -3821.69 -3821.96 yes 100.00%
fgmd -3821.69 -inf yes 100.00%
fm-bca -3821.69 -3821.69 yes 100.00%
fm -3821.69 -4081.13 yes 100.00%
fw -3821.69 -inf yes 100.00%
ga 4002.55 -inf no 3.33%
hbp -3821.69 -3845.59 yes 100.00%
ipfps 4002.55 -inf no 3.33%
ipfpu 4002.55 -inf no 3.33%
lsm 1357.95 -inf no 23.33%
mp -3821.69 -3821.69 yes 100.00%
mp-fw -3821.69 -3821.69 yes 100.00%
mpm 1168.02 -inf no 46.67%
mp-mcf -3821.69 -3821.69 yes 100.00%
pm 3627.06 -inf no 16.67%
rrwm 3547.6 -inf no 3.33%
sm 3975.83 -inf no 3.33%
smac 1418.66 -inf no 50.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: