A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense35”

This page shows the benchmarks results for the dataset instance “house-dense35”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3794.15.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3794.15 -3794.15 yes 100.00%
dd-ls3 -3794.15 -3795.2 yes 100.00%
dd-ls4 -3794.15 -3817.95 yes 100.00%
fgmd inf -inf no
fm-bca -3794.15 -3794.15 yes 100.00%
fm -3794.15 -4097.97 yes 100.00%
fw -3794.15 -inf yes 100.00%
ga 3390.49 -inf no 13.33%
hbp -3794.15 -3826.78 yes 100.00%
ipfps 3626.13 -inf no 13.33%
ipfpu 3626.13 -inf no 13.33%
lsm inf -inf no
mp -3794.15 -3804.6 yes 100.00%
mp-fw -3794.15 -3860.57 yes 100.00%
mpm 2736.59 -inf no 53.33%
mp-mcf -3524.02 -3856.21 no 86.67%
pm 3162.56 -inf no 13.33%
rrwm 2888.71 -inf no 10.00%
sm 3793.75 -inf no 13.33%
smac 1692.77 -inf no 43.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3794.15 -3794.15 yes 100.00%
dd-ls3 -3794.15 -3795.2 yes 100.00%
dd-ls4 -3794.15 -3794.75 yes 100.00%
fgmd inf -inf no
fm-bca -3794.15 -3794.15 yes 100.00%
fm -3794.15 -4097.97 yes 100.00%
fw -3794.15 -inf yes 100.00%
ga 3390.49 -inf no 13.33%
hbp -3794.15 -3826.78 yes 100.00%
ipfps 3626.13 -inf no 13.33%
ipfpu 3626.13 -inf no 13.33%
lsm 3181.37 -inf no 13.33%
mp -3794.15 -3804.05 yes 100.00%
mp-fw -3794.15 -3820.37 yes 100.00%
mpm 2736.59 -inf no 53.33%
mp-mcf -3524.02 -3808.04 no 86.67%
pm 3162.56 -inf no 13.33%
rrwm 2888.71 -inf no 10.00%
sm 3793.75 -inf no 13.33%
smac 1692.77 -inf no 43.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3794.15 -3794.15 yes 100.00%
dd-ls3 -3794.15 -3795.2 yes 100.00%
dd-ls4 -3794.15 -3794.75 yes 100.00%
fgmd -3794.15 -inf yes 100.00%
fm-bca -3794.15 -3794.15 yes 100.00%
fm -3794.15 -4097.97 yes 100.00%
fw -3794.15 -inf yes 100.00%
ga 3390.49 -inf no 13.33%
hbp -3794.15 -3826.78 yes 100.00%
ipfps 3626.13 -inf no 13.33%
ipfpu 3626.13 -inf no 13.33%
lsm 3181.37 -inf no 13.33%
mp -3794.15 -3804.05 yes 100.00%
mp-fw -3794.15 -3794.15 yes 100.00%
mpm 2736.59 -inf no 53.33%
mp-mcf -3794.15 -3794.15 yes 100.00%
pm 3162.56 -inf no 13.33%
rrwm 2888.71 -inf no 10.00%
sm 3793.75 -inf no 13.33%
smac 1692.77 -inf no 43.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3794.15 -3794.15 yes 100.00%
dd-ls3 -3794.15 -3795.2 yes 100.00%
dd-ls4 -3794.15 -3794.75 yes 100.00%
fgmd -3794.15 -inf yes 100.00%
fm-bca -3794.15 -3794.15 yes 100.00%
fm -3794.15 -4097.97 yes 100.00%
fw -3794.15 -inf yes 100.00%
ga 3390.49 -inf no 13.33%
hbp -3794.15 -3826.78 yes 100.00%
ipfps 3626.13 -inf no 13.33%
ipfpu 3626.13 -inf no 13.33%
lsm 3181.37 -inf no 13.33%
mp -3794.15 -3804.05 yes 100.00%
mp-fw -3794.15 -3794.15 yes 100.00%
mpm 2736.59 -inf no 53.33%
mp-mcf -3794.15 -3794.15 yes 100.00%
pm 3162.56 -inf no 13.33%
rrwm 2888.71 -inf no 10.00%
sm 3793.75 -inf no 13.33%
smac 1692.77 -inf no 43.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: