A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense47”

This page shows the benchmarks results for the dataset instance “house-dense47”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3738.27.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3738.27 -3738.71 yes 100.00%
dd-ls3 -3738.27 -3738.54 yes 100.00%
dd-ls4 -3738.27 -3767.2 yes 100.00%
fgmd inf -inf no
fm-bca -3738.27 -3750.4 yes 100.00%
fm -3738.27 -4080.35 yes 100.00%
fw -3738.27 -inf yes 100.00%
ga 3645.4 -inf no 6.67%
hbp -3738.27 -3775.24 yes 100.00%
ipfps 3723.21 -inf no 6.67%
ipfpu 3723.21 -inf no 6.67%
lsm inf -inf no
mp -3738.27 -3750.93 yes 100.00%
mp-fw -3738.27 -3838.18 yes 100.00%
mpm 2828.7 -inf no 36.67%
mp-mcf -2867.6 -3829.69 no 76.67%
pm 3155.81 -inf no 20.00%
rrwm 2583.38 -inf no 10.00%
sm 3568.47 -inf no 13.33%
smac 3306.93 -inf no 20.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3738.27 -3738.71 yes 100.00%
dd-ls3 -3738.27 -3738.54 yes 100.00%
dd-ls4 -3738.27 -3738.44 yes 100.00%
fgmd inf -inf no
fm-bca -3738.27 -3738.27 yes 100.00%
fm -3738.27 -4080.35 yes 100.00%
fw -3738.27 -inf yes 100.00%
ga 3645.4 -inf no 6.67%
hbp -3738.27 -3775.24 yes 100.00%
ipfps 3723.21 -inf no 6.67%
ipfpu 3723.21 -inf no 6.67%
lsm 900.581 -inf no 16.67%
mp -3738.27 -3748.09 yes 100.00%
mp-fw -3738.27 -3797.57 yes 100.00%
mpm 2828.7 -inf no 36.67%
mp-mcf -3033.49 -3777.34 no 76.67%
pm 3155.81 -inf no 20.00%
rrwm 2583.38 -inf no 10.00%
sm 3568.47 -inf no 13.33%
smac 3306.93 -inf no 20.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3738.27 -3738.71 yes 100.00%
dd-ls3 -3738.27 -3738.54 yes 100.00%
dd-ls4 -3738.27 -3738.44 yes 100.00%
fgmd -3738.27 -inf yes 100.00%
fm-bca -3738.27 -3738.27 yes 100.00%
fm -3738.27 -4080.35 yes 100.00%
fw -3738.27 -inf yes 100.00%
ga 3645.4 -inf no 6.67%
hbp -3738.27 -3775.24 yes 100.00%
ipfps 3723.21 -inf no 6.67%
ipfpu 3723.21 -inf no 6.67%
lsm 900.581 -inf no 16.67%
mp -3738.27 -3748.09 yes 100.00%
mp-fw -3738.27 -3738.27 yes 100.00%
mpm 2828.7 -inf no 36.67%
mp-mcf -3738.27 -3738.27 yes 100.00%
pm 3155.81 -inf no 20.00%
rrwm 2583.38 -inf no 10.00%
sm 3568.47 -inf no 13.33%
smac 3306.93 -inf no 20.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3738.27 -3738.71 yes 100.00%
dd-ls3 -3738.27 -3738.54 yes 100.00%
dd-ls4 -3738.27 -3738.44 yes 100.00%
fgmd -3738.27 -inf yes 100.00%
fm-bca -3738.27 -3738.27 yes 100.00%
fm -3738.27 -4080.35 yes 100.00%
fw -3738.27 -inf yes 100.00%
ga 3645.4 -inf no 6.67%
hbp -3738.27 -3775.24 yes 100.00%
ipfps 3723.21 -inf no 6.67%
ipfpu 3723.21 -inf no 6.67%
lsm 900.581 -inf no 16.67%
mp -3738.27 -3748.09 yes 100.00%
mp-fw -3738.27 -3738.27 yes 100.00%
mpm 2828.7 -inf no 36.67%
mp-mcf -3738.27 -3738.27 yes 100.00%
pm 3155.81 -inf no 20.00%
rrwm 2583.38 -inf no 10.00%
sm 3568.47 -inf no 13.33%
smac 3306.93 -inf no 20.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: