A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense54”

This page shows the benchmarks results for the dataset instance “house-dense54”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3726.83.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3726.83 -3727.53 yes 100.00%
dd-ls3 -3726.83 -3726.83 yes 100.00%
dd-ls4 -3726.83 -3746.05 yes 100.00%
fgmd inf -inf no
fm-bca -3726.83 -3726.83 yes 100.00%
fm -3726.83 -4062.44 yes 100.00%
fw -3726.83 -inf yes 100.00%
ga 3132.06 -inf no 10.00%
hbp -3726.83 -3758.32 yes 100.00%
ipfps 3702.24 -inf no 6.67%
ipfpu 3702.24 -inf no 6.67%
lsm inf -inf no
mp -3726.83 -3745.75 yes 100.00%
mp-fw -3726.83 -3807.4 yes 100.00%
mpm 1018.35 -inf no 43.33%
mp-mcf -3561.49 -3788.52 no 93.33%
pm 3436.01 -inf no 16.67%
rrwm 2744.24 -inf no 10.00%
sm 3103.95 -inf no 20.00%
smac 2872.15 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3726.83 -3727.53 yes 100.00%
dd-ls3 -3726.83 -3726.83 yes 100.00%
dd-ls4 -3726.83 -3727.41 yes 100.00%
fgmd inf -inf no
fm-bca -3726.83 -3726.83 yes 100.00%
fm -3726.83 -4062.44 yes 100.00%
fw -3726.83 -inf yes 100.00%
ga 3132.06 -inf no 10.00%
hbp -3726.83 -3758.32 yes 100.00%
ipfps 3702.24 -inf no 6.67%
ipfpu 3702.24 -inf no 6.67%
lsm 2210.5 -inf no 20.00%
mp -3726.83 -3741.16 yes 100.00%
mp-fw -3726.83 -3728.78 yes 100.00%
mpm 1018.35 -inf no 43.33%
mp-mcf -3726.83 -3726.83 yes 100.00%
pm 3436.01 -inf no 16.67%
rrwm 2744.24 -inf no 10.00%
sm 3103.95 -inf no 20.00%
smac 2872.15 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3726.83 -3727.53 yes 100.00%
dd-ls3 -3726.83 -3726.83 yes 100.00%
dd-ls4 -3726.83 -3727.41 yes 100.00%
fgmd -3726.83 -inf yes 100.00%
fm-bca -3726.83 -3726.83 yes 100.00%
fm -3726.83 -4062.44 yes 100.00%
fw -3726.83 -inf yes 100.00%
ga 3132.06 -inf no 10.00%
hbp -3726.83 -3758.32 yes 100.00%
ipfps 3702.24 -inf no 6.67%
ipfpu 3702.24 -inf no 6.67%
lsm 2210.5 -inf no 20.00%
mp -3726.83 -3741.16 yes 100.00%
mp-fw -3726.83 -3726.83 yes 100.00%
mpm 1018.35 -inf no 43.33%
mp-mcf -3726.83 -3726.83 yes 100.00%
pm 3436.01 -inf no 16.67%
rrwm 2744.24 -inf no 10.00%
sm 3103.95 -inf no 20.00%
smac 2872.15 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3726.83 -3727.53 yes 100.00%
dd-ls3 -3726.83 -3726.83 yes 100.00%
dd-ls4 -3726.83 -3727.41 yes 100.00%
fgmd -3726.83 -inf yes 100.00%
fm-bca -3726.83 -3726.83 yes 100.00%
fm -3726.83 -4062.44 yes 100.00%
fw -3726.83 -inf yes 100.00%
ga 3132.06 -inf no 10.00%
hbp -3726.83 -3758.32 yes 100.00%
ipfps 3702.24 -inf no 6.67%
ipfpu 3702.24 -inf no 6.67%
lsm 2210.5 -inf no 20.00%
mp -3726.83 -3741.16 yes 100.00%
mp-fw -3726.83 -3726.83 yes 100.00%
mpm 1018.35 -inf no 43.33%
mp-mcf -3726.83 -3726.83 yes 100.00%
pm 3436.01 -inf no 16.67%
rrwm 2744.24 -inf no 10.00%
sm 3103.95 -inf no 20.00%
smac 2872.15 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: