A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense67”

This page shows the benchmarks results for the dataset instance “house-dense67”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3780.35.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3780.35 -3780.49 yes 100.00%
dd-ls3 -3780.35 -3780.37 yes 100.00%
dd-ls4 -3780.35 -3793.06 yes 100.00%
fgmd inf -inf no
fm-bca -3780.35 -3781.41 yes 100.00%
fm -3780.35 -4088.86 yes 100.00%
fw -3780.35 -inf yes 100.00%
ga 3639.35 -inf no 10.00%
hbp -3780.35 -3809.91 yes 100.00%
ipfps 3639.35 -inf no 10.00%
ipfpu 3639.35 -inf no 10.00%
lsm inf -inf no
mp -3780.35 -3780.35 yes 100.00%
mp-fw -3780.35 -3836.5 yes 100.00%
mpm 1564.13 -inf no 50.00%
mp-mcf -3361.15 -3827.04 no 80.00%
pm 3141.26 -inf no 20.00%
rrwm 2856.91 -inf no 16.67%
sm 4237.86 -inf no 13.33%
smac 3337.23 -inf no 16.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3780.35 -3780.49 yes 100.00%
dd-ls3 -3780.35 -3780.37 yes 100.00%
dd-ls4 -3780.35 -3780.43 yes 100.00%
fgmd inf -inf no
fm-bca -3780.35 -3780.35 yes 100.00%
fm -3780.35 -4088.86 yes 100.00%
fw -3780.35 -inf yes 100.00%
ga 3639.35 -inf no 10.00%
hbp -3780.35 -3809.91 yes 100.00%
ipfps 3639.35 -inf no 10.00%
ipfpu 3639.35 -inf no 10.00%
lsm 3176.52 -inf no 16.67%
mp -3780.35 -3780.35 yes 100.00%
mp-fw -3780.35 -3791.52 yes 100.00%
mpm 1564.13 -inf no 50.00%
mp-mcf -3780.35 -3786.18 yes 100.00%
pm 3141.26 -inf no 20.00%
rrwm 2856.91 -inf no 16.67%
sm 4237.86 -inf no 13.33%
smac 3337.23 -inf no 16.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3780.35 -3780.49 yes 100.00%
dd-ls3 -3780.35 -3780.37 yes 100.00%
dd-ls4 -3780.35 -3780.43 yes 100.00%
fgmd -3780.35 -inf yes 100.00%
fm-bca -3780.35 -3780.35 yes 100.00%
fm -3780.35 -4088.86 yes 100.00%
fw -3780.35 -inf yes 100.00%
ga 3639.35 -inf no 10.00%
hbp -3780.35 -3809.91 yes 100.00%
ipfps 3639.35 -inf no 10.00%
ipfpu 3639.35 -inf no 10.00%
lsm 3176.52 -inf no 16.67%
mp -3780.35 -3780.35 yes 100.00%
mp-fw -3780.35 -3780.35 yes 100.00%
mpm 1564.13 -inf no 50.00%
mp-mcf -3780.35 -3780.35 yes 100.00%
pm 3141.26 -inf no 20.00%
rrwm 2856.91 -inf no 16.67%
sm 4237.86 -inf no 13.33%
smac 3337.23 -inf no 16.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3780.35 -3780.49 yes 100.00%
dd-ls3 -3780.35 -3780.37 yes 100.00%
dd-ls4 -3780.35 -3780.43 yes 100.00%
fgmd -3780.35 -inf yes 100.00%
fm-bca -3780.35 -3780.35 yes 100.00%
fm -3780.35 -4088.86 yes 100.00%
fw -3780.35 -inf yes 100.00%
ga 3639.35 -inf no 10.00%
hbp -3780.35 -3809.91 yes 100.00%
ipfps 3639.35 -inf no 10.00%
ipfpu 3639.35 -inf no 10.00%
lsm 3176.52 -inf no 16.67%
mp -3780.35 -3780.35 yes 100.00%
mp-fw -3780.35 -3780.35 yes 100.00%
mpm 1564.13 -inf no 50.00%
mp-mcf -3780.35 -3780.35 yes 100.00%
pm 3141.26 -inf no 20.00%
rrwm 2856.91 -inf no 16.67%
sm 4237.86 -inf no 13.33%
smac 3337.23 -inf no 16.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: