A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense103”

This page shows the benchmarks results for the dataset instance “house-dense103”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3799.19.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3799.19 -3799.22 yes 100.00%
dd-ls3 -3799.19 -3799.3 yes 100.00%
dd-ls4 -3799.19 -3812.91 yes 100.00%
fgmd inf -inf no
fm-bca -3799.19 -3799.19 yes 100.00%
fm -3799.19 -4081.72 yes 100.00%
fw -3799.19 -inf yes 100.00%
ga 3497.02 -inf no 3.33%
hbp -3799.19 -3827.69 yes 100.00%
ipfps 3461.93 -inf no 3.33%
ipfpu 3461.93 -inf no 3.33%
lsm inf -inf no
mp -3799.19 -3805.63 yes 100.00%
mp-fw -3799.19 -3873.37 yes 100.00%
mpm 166.031 -inf no 66.67%
mp-mcf -3536.58 -3870.96 no 86.67%
pm 2906.48 -inf no 20.00%
rrwm 3006.63 -inf no 3.33%
sm 3782.39 -inf no 6.67%
smac 1835.16 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3799.19 -3799.22 yes 100.00%
dd-ls3 -3799.19 -3799.3 yes 100.00%
dd-ls4 -3799.19 -3799.19 yes 100.00%
fgmd inf -inf no
fm-bca -3799.19 -3799.19 yes 100.00%
fm -3799.19 -4081.72 yes 100.00%
fw -3799.19 -inf yes 100.00%
ga 3497.02 -inf no 3.33%
hbp -3799.19 -3827.69 yes 100.00%
ipfps 3461.93 -inf no 3.33%
ipfpu 3461.93 -inf no 3.33%
lsm 721.68 -inf no 16.67%
mp -3799.19 -3804.34 yes 100.00%
mp-fw -3799.19 -3799.19 yes 100.00%
mpm 166.031 -inf no 66.67%
mp-mcf -3799.19 -3799.19 yes 100.00%
pm 2906.48 -inf no 20.00%
rrwm 3006.63 -inf no 3.33%
sm 3782.39 -inf no 6.67%
smac 1835.16 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3799.19 -3799.22 yes 100.00%
dd-ls3 -3799.19 -3799.3 yes 100.00%
dd-ls4 -3799.19 -3799.19 yes 100.00%
fgmd -3799.19 -inf yes 100.00%
fm-bca -3799.19 -3799.19 yes 100.00%
fm -3799.19 -4081.72 yes 100.00%
fw -3799.19 -inf yes 100.00%
ga 3497.02 -inf no 3.33%
hbp -3799.19 -3827.69 yes 100.00%
ipfps 3461.93 -inf no 3.33%
ipfpu 3461.93 -inf no 3.33%
lsm 721.68 -inf no 16.67%
mp -3799.19 -3804.31 yes 100.00%
mp-fw -3799.19 -3799.19 yes 100.00%
mpm 166.031 -inf no 66.67%
mp-mcf -3799.19 -3799.19 yes 100.00%
pm 2906.48 -inf no 20.00%
rrwm 3006.63 -inf no 3.33%
sm 3782.39 -inf no 6.67%
smac 1835.16 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3799.19 -3799.22 yes 100.00%
dd-ls3 -3799.19 -3799.3 yes 100.00%
dd-ls4 -3799.19 -3799.19 yes 100.00%
fgmd -3799.19 -inf yes 100.00%
fm-bca -3799.19 -3799.19 yes 100.00%
fm -3799.19 -4081.72 yes 100.00%
fw -3799.19 -inf yes 100.00%
ga 3497.02 -inf no 3.33%
hbp -3799.19 -3827.69 yes 100.00%
ipfps 3461.93 -inf no 3.33%
ipfpu 3461.93 -inf no 3.33%
lsm 721.68 -inf no 16.67%
mp -3799.19 -3804.31 yes 100.00%
mp-fw -3799.19 -3799.19 yes 100.00%
mpm 166.031 -inf no 66.67%
mp-mcf -3799.19 -3799.19 yes 100.00%
pm 2906.48 -inf no 20.00%
rrwm 3006.63 -inf no 3.33%
sm 3782.39 -inf no 6.67%
smac 1835.16 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: