A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense70”

This page shows the benchmarks results for the dataset instance “house-dense70”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3768.48.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3768.48 -3768.85 yes 100.00%
dd-ls3 -3768.48 -3768.67 yes 100.00%
dd-ls4 -3768.48 -3779.02 yes 100.00%
fgmd inf -inf no
fm-bca -3768.48 -3770.4 yes 100.00%
fm -3768.48 -4059.62 yes 100.00%
fw -3768.48 -inf yes 100.00%
ga 3676.43 -inf no 10.00%
hbp -3768.48 -3805.6 yes 100.00%
ipfps 3641.81 -inf no 10.00%
ipfpu 3641.81 -inf no 10.00%
lsm inf -inf no
mp -3768.48 -3784.16 yes 100.00%
mp-fw -3768.48 -3841.13 yes 100.00%
mpm -181.727 -inf no 60.00%
mp-mcf -3768.48 -3789.5 yes 100.00%
pm 3051.62 -inf no 13.33%
rrwm 2805.18 -inf no 10.00%
sm 3840.72 -inf no 6.67%
smac 1191.2 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3768.48 -3768.85 yes 100.00%
dd-ls3 -3768.48 -3768.67 yes 100.00%
dd-ls4 -3768.48 -3768.52 yes 100.00%
fgmd inf -inf no
fm-bca -3768.48 -3768.48 yes 100.00%
fm -3768.48 -4059.62 yes 100.00%
fw -3768.48 -inf yes 100.00%
ga 3676.43 -inf no 10.00%
hbp -3768.48 -3805.6 yes 100.00%
ipfps 3641.81 -inf no 10.00%
ipfpu 3641.81 -inf no 10.00%
lsm 2698.47 -inf no 13.33%
mp -3768.48 -3774.04 yes 100.00%
mp-fw -3768.48 -3768.48 yes 100.00%
mpm -181.727 -inf no 60.00%
mp-mcf -3768.48 -3768.48 yes 100.00%
pm 3051.62 -inf no 13.33%
rrwm 2805.18 -inf no 10.00%
sm 3840.72 -inf no 6.67%
smac 1191.2 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3768.48 -3768.85 yes 100.00%
dd-ls3 -3768.48 -3768.67 yes 100.00%
dd-ls4 -3768.48 -3768.52 yes 100.00%
fgmd -3768.48 -inf yes 100.00%
fm-bca -3768.48 -3768.48 yes 100.00%
fm -3768.48 -4059.62 yes 100.00%
fw -3768.48 -inf yes 100.00%
ga 3676.43 -inf no 10.00%
hbp -3768.48 -3805.6 yes 100.00%
ipfps 3641.81 -inf no 10.00%
ipfpu 3641.81 -inf no 10.00%
lsm 2698.47 -inf no 13.33%
mp -3768.48 -3774.01 yes 100.00%
mp-fw -3768.48 -3768.48 yes 100.00%
mpm -181.727 -inf no 60.00%
mp-mcf -3768.48 -3768.48 yes 100.00%
pm 3051.62 -inf no 13.33%
rrwm 2805.18 -inf no 10.00%
sm 3840.72 -inf no 6.67%
smac 1191.2 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3768.48 -3768.85 yes 100.00%
dd-ls3 -3768.48 -3768.67 yes 100.00%
dd-ls4 -3768.48 -3768.52 yes 100.00%
fgmd -3768.48 -inf yes 100.00%
fm-bca -3768.48 -3768.48 yes 100.00%
fm -3768.48 -4059.62 yes 100.00%
fw -3768.48 -inf yes 100.00%
ga 3676.43 -inf no 10.00%
hbp -3768.48 -3805.6 yes 100.00%
ipfps 3641.81 -inf no 10.00%
ipfpu 3641.81 -inf no 10.00%
lsm 2698.47 -inf no 13.33%
mp -3768.48 -3774.01 yes 100.00%
mp-fw -3768.48 -3768.48 yes 100.00%
mpm -181.727 -inf no 60.00%
mp-mcf -3768.48 -3768.48 yes 100.00%
pm 3051.62 -inf no 13.33%
rrwm 2805.18 -inf no 10.00%
sm 3840.72 -inf no 6.67%
smac 1191.2 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: