A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense79”

This page shows the benchmarks results for the dataset instance “house-dense79”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3788.42.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3788.42 -3788.87 yes 100.00%
dd-ls3 -3788.42 -3788.72 yes 100.00%
dd-ls4 -3577.23 -3817.08 no 93.33%
fgmd inf -inf no
fm-bca -3788.42 -3790.24 yes 100.00%
fm -3788.42 -4079.83 yes 100.00%
fw -3788.42 -inf yes 100.00%
ga 3738.2 -inf no 10.00%
hbp -3788.42 -3816.87 yes 100.00%
ipfps 3796.6 -inf no 10.00%
ipfpu 3796.6 -inf no 10.00%
lsm inf -inf no
mp -3788.42 -3788.42 yes 100.00%
mp-fw -3788.42 -3855.21 yes 100.00%
mpm -480.894 -inf no 66.67%
mp-mcf -3560.38 -3852.63 no 86.67%
pm 3109.03 -inf no 20.00%
rrwm 2954.4 -inf no 10.00%
sm 4249.24 -inf no 13.33%
smac 2363.95 -inf no 36.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3788.42 -3788.87 yes 100.00%
dd-ls3 -3788.42 -3788.72 yes 100.00%
dd-ls4 -3788.42 -3788.48 yes 100.00%
fgmd inf -inf no
fm-bca -3788.42 -3788.42 yes 100.00%
fm -3788.42 -4079.83 yes 100.00%
fw -3788.42 -inf yes 100.00%
ga 3738.2 -inf no 10.00%
hbp -3788.42 -3816.87 yes 100.00%
ipfps 3796.6 -inf no 10.00%
ipfpu 3796.6 -inf no 10.00%
lsm 2924.85 -inf no 16.67%
mp -3788.42 -3788.42 yes 100.00%
mp-fw -3788.42 -3807.53 yes 100.00%
mpm -480.894 -inf no 66.67%
mp-mcf -3788.42 -3802.24 yes 100.00%
pm 3109.03 -inf no 20.00%
rrwm 2954.4 -inf no 10.00%
sm 4249.24 -inf no 13.33%
smac 2363.95 -inf no 36.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3788.42 -3788.87 yes 100.00%
dd-ls3 -3788.42 -3788.72 yes 100.00%
dd-ls4 -3788.42 -3788.48 yes 100.00%
fgmd -3788.42 -inf yes 100.00%
fm-bca -3788.42 -3788.42 yes 100.00%
fm -3788.42 -4079.83 yes 100.00%
fw -3788.42 -inf yes 100.00%
ga 3738.2 -inf no 10.00%
hbp -3788.42 -3816.87 yes 100.00%
ipfps 3796.6 -inf no 10.00%
ipfpu 3796.6 -inf no 10.00%
lsm 2924.85 -inf no 16.67%
mp -3788.42 -3788.42 yes 100.00%
mp-fw -3788.42 -3788.42 yes 100.00%
mpm -480.894 -inf no 66.67%
mp-mcf -3788.42 -3788.42 yes 100.00%
pm 3109.03 -inf no 20.00%
rrwm 2954.4 -inf no 10.00%
sm 4249.24 -inf no 13.33%
smac 2363.95 -inf no 36.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3788.42 -3788.87 yes 100.00%
dd-ls3 -3788.42 -3788.72 yes 100.00%
dd-ls4 -3788.42 -3788.48 yes 100.00%
fgmd -3788.42 -inf yes 100.00%
fm-bca -3788.42 -3788.42 yes 100.00%
fm -3788.42 -4079.83 yes 100.00%
fw -3788.42 -inf yes 100.00%
ga 3738.2 -inf no 10.00%
hbp -3788.42 -3816.87 yes 100.00%
ipfps 3796.6 -inf no 10.00%
ipfpu 3796.6 -inf no 10.00%
lsm 2924.85 -inf no 16.67%
mp -3788.42 -3788.42 yes 100.00%
mp-fw -3788.42 -3788.42 yes 100.00%
mpm -480.894 -inf no 66.67%
mp-mcf -3788.42 -3788.42 yes 100.00%
pm 3109.03 -inf no 20.00%
rrwm 2954.4 -inf no 10.00%
sm 4249.24 -inf no 13.33%
smac 2363.95 -inf no 36.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: