A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense4”

This page shows the benchmarks results for the dataset instance “house-dense4”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3776.74.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3776.74 -3783.44 yes 100.00%
dd-ls3 -3776.74 -3776.76 yes 100.00%
dd-ls4 -3776.74 -3793.43 yes 100.00%
fgmd inf -inf no
fm-bca -3776.74 -3776.74 yes 100.00%
fm -3776.74 -4086.67 yes 100.00%
fw -3776.74 -inf yes 100.00%
ga 3264.74 -inf no 10.00%
hbp -3776.74 -3800.89 yes 100.00%
ipfps 3645.75 -inf no 10.00%
ipfpu 3645.75 -inf no 10.00%
lsm inf -inf no
mp -3776.74 -3776.74 yes 100.00%
mp-fw -3776.74 -3838.78 yes 100.00%
mpm 834.751 -inf no 50.00%
mp-mcf -3390.16 -3812.08 no 80.00%
pm 3350.04 -inf no 13.33%
rrwm 2742.97 -inf no 6.67%
sm 3871.63 -inf no 10.00%
smac 4282.18 -inf no 26.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3776.74 -3783.44 yes 100.00%
dd-ls3 -3776.74 -3776.76 yes 100.00%
dd-ls4 -3776.74 -3778.46 yes 100.00%
fgmd inf -inf no
fm-bca -3776.74 -3776.74 yes 100.00%
fm -3776.74 -4086.67 yes 100.00%
fw -3776.74 -inf yes 100.00%
ga 3264.74 -inf no 10.00%
hbp -3776.74 -3800.89 yes 100.00%
ipfps 3645.75 -inf no 10.00%
ipfpu 3645.75 -inf no 10.00%
lsm 4208.79 -inf no 13.33%
mp -3776.74 -3776.74 yes 100.00%
mp-fw -3776.74 -3778.68 yes 100.00%
mpm 834.751 -inf no 50.00%
mp-mcf -3776.74 -3776.74 yes 100.00%
pm 3350.04 -inf no 13.33%
rrwm 2742.97 -inf no 6.67%
sm 3871.63 -inf no 10.00%
smac 4282.18 -inf no 26.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3776.74 -3783.44 yes 100.00%
dd-ls3 -3776.74 -3776.76 yes 100.00%
dd-ls4 -3776.74 -3778.46 yes 100.00%
fgmd -3776.74 -inf yes 100.00%
fm-bca -3776.74 -3776.74 yes 100.00%
fm -3776.74 -4086.67 yes 100.00%
fw -3776.74 -inf yes 100.00%
ga 3264.74 -inf no 10.00%
hbp -3776.74 -3800.89 yes 100.00%
ipfps 3645.75 -inf no 10.00%
ipfpu 3645.75 -inf no 10.00%
lsm 4208.79 -inf no 13.33%
mp -3776.74 -3776.74 yes 100.00%
mp-fw -3776.74 -3776.74 yes 100.00%
mpm 834.751 -inf no 50.00%
mp-mcf -3776.74 -3776.74 yes 100.00%
pm 3350.04 -inf no 13.33%
rrwm 2742.97 -inf no 6.67%
sm 3871.63 -inf no 10.00%
smac 4282.18 -inf no 26.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3776.74 -3783.44 yes 100.00%
dd-ls3 -3776.74 -3776.76 yes 100.00%
dd-ls4 -3776.74 -3778.46 yes 100.00%
fgmd -3776.74 -inf yes 100.00%
fm-bca -3776.74 -3776.74 yes 100.00%
fm -3776.74 -4086.67 yes 100.00%
fw -3776.74 -inf yes 100.00%
ga 3264.74 -inf no 10.00%
hbp -3776.74 -3800.89 yes 100.00%
ipfps 3645.75 -inf no 10.00%
ipfpu 3645.75 -inf no 10.00%
lsm 4208.79 -inf no 13.33%
mp -3776.74 -3776.74 yes 100.00%
mp-fw -3776.74 -3776.74 yes 100.00%
mpm 834.751 -inf no 50.00%
mp-mcf -3776.74 -3776.74 yes 100.00%
pm 3350.04 -inf no 13.33%
rrwm 2742.97 -inf no 6.67%
sm 3871.63 -inf no 10.00%
smac 4282.18 -inf no 26.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: