A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense50”

This page shows the benchmarks results for the dataset instance “house-dense50”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3811.22.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3811.22 -3811.35 yes 100.00%
dd-ls3 -3811.22 -3811.55 yes 100.00%
dd-ls4 -3811.22 -3823.62 yes 100.00%
fgmd inf -inf no
fm-bca -3811.22 -3811.22 yes 100.00%
fm -3811.22 -4094.3 yes 100.00%
fw -3811.22 -inf yes 100.00%
ga 3739.11 -inf no 6.67%
hbp -3811.22 -3838.04 yes 100.00%
ipfps 3739.11 -inf no 6.67%
ipfpu 3739.11 -inf no 6.67%
lsm inf -inf no
mp -3811.22 -3811.22 yes 100.00%
mp-fw -3811.22 -3864.4 yes 100.00%
mpm 1246.34 -inf no 56.67%
mp-mcf -3811.22 -3850.33 yes 100.00%
pm 3272.5 -inf no 16.67%
rrwm 2809.64 -inf no 10.00%
sm 3311.81 -inf no 16.67%
smac 3123.94 -inf no 30.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3811.22 -3811.35 yes 100.00%
dd-ls3 -3811.22 -3811.55 yes 100.00%
dd-ls4 -3811.22 -3811.23 yes 100.00%
fgmd inf -inf no
fm-bca -3811.22 -3811.22 yes 100.00%
fm -3811.22 -4094.3 yes 100.00%
fw -3811.22 -inf yes 100.00%
ga 3739.11 -inf no 6.67%
hbp -3811.22 -3838.04 yes 100.00%
ipfps 3739.11 -inf no 6.67%
ipfpu 3739.11 -inf no 6.67%
lsm 3940.2 -inf no 13.33%
mp -3811.22 -3811.22 yes 100.00%
mp-fw -3811.22 -3816.18 yes 100.00%
mpm 1246.34 -inf no 56.67%
mp-mcf -3811.22 -3815.39 yes 100.00%
pm 3272.5 -inf no 16.67%
rrwm 2809.64 -inf no 10.00%
sm 3311.81 -inf no 16.67%
smac 3123.94 -inf no 30.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3811.22 -3811.35 yes 100.00%
dd-ls3 -3811.22 -3811.55 yes 100.00%
dd-ls4 -3811.22 -3811.23 yes 100.00%
fgmd -3811.22 -inf yes 100.00%
fm-bca -3811.22 -3811.22 yes 100.00%
fm -3811.22 -4094.3 yes 100.00%
fw -3811.22 -inf yes 100.00%
ga 3739.11 -inf no 6.67%
hbp -3811.22 -3838.04 yes 100.00%
ipfps 3739.11 -inf no 6.67%
ipfpu 3739.11 -inf no 6.67%
lsm 3940.2 -inf no 13.33%
mp -3811.22 -3811.22 yes 100.00%
mp-fw -3811.22 -3812.39 yes 100.00%
mpm 1246.34 -inf no 56.67%
mp-mcf -3811.22 -3812.39 yes 100.00%
pm 3272.5 -inf no 16.67%
rrwm 2809.64 -inf no 10.00%
sm 3311.81 -inf no 16.67%
smac 3123.94 -inf no 30.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3811.22 -3811.35 yes 100.00%
dd-ls3 -3811.22 -3811.55 yes 100.00%
dd-ls4 -3811.22 -3811.23 yes 100.00%
fgmd -3811.22 -inf yes 100.00%
fm-bca -3811.22 -3811.22 yes 100.00%
fm -3811.22 -4094.3 yes 100.00%
fw -3811.22 -inf yes 100.00%
ga 3739.11 -inf no 6.67%
hbp -3811.22 -3838.04 yes 100.00%
ipfps 3739.11 -inf no 6.67%
ipfpu 3739.11 -inf no 6.67%
lsm 3940.2 -inf no 13.33%
mp -3811.22 -3811.22 yes 100.00%
mp-fw -3811.22 -3812.38 yes 100.00%
mpm 1246.34 -inf no 56.67%
mp-mcf -3811.22 -3812.38 yes 100.00%
pm 3272.5 -inf no 16.67%
rrwm 2809.64 -inf no 10.00%
sm 3311.81 -inf no 16.67%
smac 3123.94 -inf no 30.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: