A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense44”

This page shows the benchmarks results for the dataset instance “house-dense44”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3794.54.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3794.54 -3795.31 yes 100.00%
dd-ls3 -3794.54 -3794.89 yes 100.00%
dd-ls4 -3794.54 -3810.59 yes 100.00%
fgmd inf -inf no
fm-bca -3794.54 -3795.66 yes 100.00%
fm -3794.54 -4105.8 yes 100.00%
fw -3794.54 -inf yes 100.00%
ga 3869.93 -inf no 3.33%
hbp -3794.54 -3824.9 yes 100.00%
ipfps 3869.93 -inf no 3.33%
ipfpu 3869.93 -inf no 3.33%
lsm inf -inf no
mp -3794.54 -3799.5 yes 100.00%
mp-fw -3794.54 -3877.74 yes 100.00%
mpm 1457.79 -inf no 60.00%
mp-mcf -3013.75 -3867.68 no 73.33%
pm 3408.61 -inf no 16.67%
rrwm 3004.94 -inf no 10.00%
sm 3846.41 -inf no 6.67%
smac 2510.33 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3794.54 -3795.31 yes 100.00%
dd-ls3 -3794.54 -3794.89 yes 100.00%
dd-ls4 -3794.54 -3794.57 yes 100.00%
fgmd inf -inf no
fm-bca -3794.54 -3794.54 yes 100.00%
fm -3794.54 -4105.8 yes 100.00%
fw -3794.54 -inf yes 100.00%
ga 3869.93 -inf no 3.33%
hbp -3794.54 -3824.9 yes 100.00%
ipfps 3869.93 -inf no 3.33%
ipfpu 3869.93 -inf no 3.33%
lsm 3046.08 -inf no 13.33%
mp -3794.54 -3794.54 yes 100.00%
mp-fw -3794.54 -3819.09 yes 100.00%
mpm 1457.79 -inf no 60.00%
mp-mcf -3794.54 -3794.54 yes 100.00%
pm 3408.61 -inf no 16.67%
rrwm 3004.94 -inf no 10.00%
sm 3846.41 -inf no 6.67%
smac 2510.33 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3794.54 -3795.31 yes 100.00%
dd-ls3 -3794.54 -3794.89 yes 100.00%
dd-ls4 -3794.54 -3794.57 yes 100.00%
fgmd -3794.54 -inf yes 100.00%
fm-bca -3794.54 -3794.54 yes 100.00%
fm -3794.54 -4105.8 yes 100.00%
fw -3794.54 -inf yes 100.00%
ga 3869.93 -inf no 3.33%
hbp -3794.54 -3824.9 yes 100.00%
ipfps 3869.93 -inf no 3.33%
ipfpu 3869.93 -inf no 3.33%
lsm 3046.08 -inf no 13.33%
mp -3794.54 -3794.54 yes 100.00%
mp-fw -3794.54 -3794.54 yes 100.00%
mpm 1457.79 -inf no 60.00%
mp-mcf -3794.54 -3794.54 yes 100.00%
pm 3408.61 -inf no 16.67%
rrwm 3004.94 -inf no 10.00%
sm 3846.41 -inf no 6.67%
smac 2510.33 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3794.54 -3795.31 yes 100.00%
dd-ls3 -3794.54 -3794.89 yes 100.00%
dd-ls4 -3794.54 -3794.57 yes 100.00%
fgmd -3794.54 -inf yes 100.00%
fm-bca -3794.54 -3794.54 yes 100.00%
fm -3794.54 -4105.8 yes 100.00%
fw -3794.54 -inf yes 100.00%
ga 3869.93 -inf no 3.33%
hbp -3794.54 -3824.9 yes 100.00%
ipfps 3869.93 -inf no 3.33%
ipfpu 3869.93 -inf no 3.33%
lsm 3046.08 -inf no 13.33%
mp -3794.54 -3794.54 yes 100.00%
mp-fw -3794.54 -3794.54 yes 100.00%
mpm 1457.79 -inf no 60.00%
mp-mcf -3794.54 -3794.54 yes 100.00%
pm 3408.61 -inf no 16.67%
rrwm 3004.94 -inf no 10.00%
sm 3846.41 -inf no 6.67%
smac 2510.33 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: