A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense53”

This page shows the benchmarks results for the dataset instance “house-dense53”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3770.4.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3770.4 -3770.61 yes 100.00%
dd-ls3 -3770.4 -3771.14 yes 100.00%
dd-ls4 -3770.4 -3787.33 yes 100.00%
fgmd inf -inf no
fm-bca -3770.4 -3770.4 yes 100.00%
fm -3770.4 -4071.63 yes 100.00%
fw -3770.4 -inf yes 100.00%
ga 3374.85 -inf no 6.67%
hbp -3770.4 -3800.74 yes 100.00%
ipfps 3374.85 -inf no 6.67%
ipfpu 3374.85 -inf no 6.67%
lsm inf -inf no
mp -3770.4 -3770.4 yes 100.00%
mp-fw -3770.4 -3832.33 yes 100.00%
mpm 1701.41 -inf no 53.33%
mp-mcf -3501.76 -3826.37 no 86.67%
pm 3134.44 -inf no 16.67%
rrwm 2458.64 -inf no 10.00%
sm 3393.34 -inf no 6.67%
smac 3583.24 -inf no 26.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3770.4 -3770.61 yes 100.00%
dd-ls3 -3770.4 -3771.14 yes 100.00%
dd-ls4 -3770.4 -3770.51 yes 100.00%
fgmd inf -inf no
fm-bca -3770.4 -3770.4 yes 100.00%
fm -3770.4 -4071.63 yes 100.00%
fw -3770.4 -inf yes 100.00%
ga 3374.85 -inf no 6.67%
hbp -3770.4 -3800.74 yes 100.00%
ipfps 3374.85 -inf no 6.67%
ipfpu 3374.85 -inf no 6.67%
lsm 2908.25 -inf no 20.00%
mp -3770.4 -3770.4 yes 100.00%
mp-fw -3770.4 -3770.4 yes 100.00%
mpm 1701.41 -inf no 53.33%
mp-mcf -3770.4 -3770.4 yes 100.00%
pm 3134.44 -inf no 16.67%
rrwm 2458.64 -inf no 10.00%
sm 3393.34 -inf no 6.67%
smac 3583.24 -inf no 26.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3770.4 -3770.61 yes 100.00%
dd-ls3 -3770.4 -3771.14 yes 100.00%
dd-ls4 -3770.4 -3770.51 yes 100.00%
fgmd -3770.4 -inf yes 100.00%
fm-bca -3770.4 -3770.4 yes 100.00%
fm -3770.4 -4071.63 yes 100.00%
fw -3770.4 -inf yes 100.00%
ga 3374.85 -inf no 6.67%
hbp -3770.4 -3800.74 yes 100.00%
ipfps 3374.85 -inf no 6.67%
ipfpu 3374.85 -inf no 6.67%
lsm 2908.25 -inf no 20.00%
mp -3770.4 -3770.4 yes 100.00%
mp-fw -3770.4 -3770.4 yes 100.00%
mpm 1701.41 -inf no 53.33%
mp-mcf -3770.4 -3770.4 yes 100.00%
pm 3134.44 -inf no 16.67%
rrwm 2458.64 -inf no 10.00%
sm 3393.34 -inf no 6.67%
smac 3583.24 -inf no 26.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3770.4 -3770.61 yes 100.00%
dd-ls3 -3770.4 -3771.14 yes 100.00%
dd-ls4 -3770.4 -3770.51 yes 100.00%
fgmd -3770.4 -inf yes 100.00%
fm-bca -3770.4 -3770.4 yes 100.00%
fm -3770.4 -4071.63 yes 100.00%
fw -3770.4 -inf yes 100.00%
ga 3374.85 -inf no 6.67%
hbp -3770.4 -3800.74 yes 100.00%
ipfps 3374.85 -inf no 6.67%
ipfpu 3374.85 -inf no 6.67%
lsm 2908.25 -inf no 20.00%
mp -3770.4 -3770.4 yes 100.00%
mp-fw -3770.4 -3770.4 yes 100.00%
mpm 1701.41 -inf no 53.33%
mp-mcf -3770.4 -3770.4 yes 100.00%
pm 3134.44 -inf no 16.67%
rrwm 2458.64 -inf no 10.00%
sm 3393.34 -inf no 6.67%
smac 3583.24 -inf no 26.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: