A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense24”

This page shows the benchmarks results for the dataset instance “house-dense24”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3781.42.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3781.42 -3781.61 yes 100.00%
dd-ls3 -3781.42 -3781.43 yes 100.00%
dd-ls4 -3781.42 -3799.67 yes 100.00%
fgmd inf -inf no
fm-bca -3781.42 -3781.42 yes 100.00%
fm -3781.42 -4087.56 yes 100.00%
fw -3781.42 -inf yes 100.00%
ga 3371.88 -inf no 3.33%
hbp -3781.42 -3812.71 yes 100.00%
ipfps 3906.77 -inf no 3.33%
ipfpu 3906.77 -inf no 3.33%
lsm inf -inf no
mp -3781.42 -3781.42 yes 100.00%
mp-fw -3781.42 -3821.67 yes 100.00%
mpm 2731.35 -inf no 50.00%
mp-mcf -3628.27 -3815.63 no 80.00%
pm 3477.05 -inf no 16.67%
rrwm 3041.02 -inf no 10.00%
sm 3890.89 -inf no 6.67%
smac 2362.35 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3781.42 -3781.61 yes 100.00%
dd-ls3 -3781.42 -3781.43 yes 100.00%
dd-ls4 -3781.42 -3781.84 yes 100.00%
fgmd inf -inf no
fm-bca -3781.42 -3781.42 yes 100.00%
fm -3781.42 -4087.56 yes 100.00%
fw -3781.42 -inf yes 100.00%
ga 3371.88 -inf no 3.33%
hbp -3781.42 -3812.71 yes 100.00%
ipfps 3906.77 -inf no 3.33%
ipfpu 3906.77 -inf no 3.33%
lsm 2320.63 -inf no 16.67%
mp -3781.42 -3781.42 yes 100.00%
mp-fw -3781.42 -3790.21 yes 100.00%
mpm 2731.35 -inf no 50.00%
mp-mcf -3628.27 -3785.82 no 80.00%
pm 3477.05 -inf no 16.67%
rrwm 3041.02 -inf no 10.00%
sm 3890.89 -inf no 6.67%
smac 2362.35 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3781.42 -3781.61 yes 100.00%
dd-ls3 -3781.42 -3781.43 yes 100.00%
dd-ls4 -3781.42 -3781.84 yes 100.00%
fgmd -3781.42 -inf yes 100.00%
fm-bca -3781.42 -3781.42 yes 100.00%
fm -3781.42 -4087.56 yes 100.00%
fw -3781.42 -inf yes 100.00%
ga 3371.88 -inf no 3.33%
hbp -3781.42 -3812.71 yes 100.00%
ipfps 3906.77 -inf no 3.33%
ipfpu 3906.77 -inf no 3.33%
lsm 2320.63 -inf no 16.67%
mp -3781.42 -3781.42 yes 100.00%
mp-fw -3781.42 -3781.42 yes 100.00%
mpm 2731.35 -inf no 50.00%
mp-mcf -3781.42 -3781.42 yes 100.00%
pm 3477.05 -inf no 16.67%
rrwm 3041.02 -inf no 10.00%
sm 3890.89 -inf no 6.67%
smac 2362.35 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3781.42 -3781.61 yes 100.00%
dd-ls3 -3781.42 -3781.43 yes 100.00%
dd-ls4 -3781.42 -3781.84 yes 100.00%
fgmd -3781.42 -inf yes 100.00%
fm-bca -3781.42 -3781.42 yes 100.00%
fm -3781.42 -4087.56 yes 100.00%
fw -3781.42 -inf yes 100.00%
ga 3371.88 -inf no 3.33%
hbp -3781.42 -3812.71 yes 100.00%
ipfps 3906.77 -inf no 3.33%
ipfpu 3906.77 -inf no 3.33%
lsm 2320.63 -inf no 16.67%
mp -3781.42 -3781.42 yes 100.00%
mp-fw -3781.42 -3781.42 yes 100.00%
mpm 2731.35 -inf no 50.00%
mp-mcf -3781.42 -3781.42 yes 100.00%
pm 3477.05 -inf no 16.67%
rrwm 3041.02 -inf no 10.00%
sm 3890.89 -inf no 6.67%
smac 2362.35 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: