A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense75”

This page shows the benchmarks results for the dataset instance “house-dense75”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3749.52.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3749.52 -3751.45 yes 100.00%
dd-ls3 -3749.52 -3751.06 yes 100.00%
dd-ls4 -3674.26 -3786.27 no 86.67%
fgmd inf -inf no
fm-bca -3749.52 -3749.52 yes 100.00%
fm -3749.52 -4060.36 yes 100.00%
fw -3749.52 -inf yes 100.00%
ga 3073.91 -inf no 6.67%
hbp -3749.52 -3785.75 yes 100.00%
ipfps 3691.3 -inf no 10.00%
ipfpu 3691.3 -inf no 10.00%
lsm inf -inf no
mp -3749.52 -3763.28 yes 100.00%
mp-fw -3749.52 -3823.49 yes 100.00%
mpm 2051.85 -inf no 53.33%
mp-mcf -3749.52 -3779.78 yes 100.00%
pm 3173.74 -inf no 16.67%
rrwm 2094.69 -inf no 10.00%
sm 4189.03 -inf no 10.00%
smac 1059.81 -inf no 30.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3749.52 -3751.45 yes 100.00%
dd-ls3 -3749.52 -3750.01 yes 100.00%
dd-ls4 -3749.52 -3749.56 yes 100.00%
fgmd inf -inf no
fm-bca -3749.52 -3749.52 yes 100.00%
fm -3749.52 -4060.36 yes 100.00%
fw -3749.52 -inf yes 100.00%
ga 3073.91 -inf no 6.67%
hbp -3749.52 -3785.75 yes 100.00%
ipfps 3691.3 -inf no 10.00%
ipfpu 3691.3 -inf no 10.00%
lsm 2695.12 -inf no 16.67%
mp -3749.52 -3751.55 yes 100.00%
mp-fw -3749.52 -3756.96 yes 100.00%
mpm 2051.85 -inf no 53.33%
mp-mcf -3749.52 -3756.19 yes 100.00%
pm 3173.74 -inf no 16.67%
rrwm 2094.69 -inf no 10.00%
sm 4189.03 -inf no 10.00%
smac 1059.81 -inf no 30.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3749.52 -3751.45 yes 100.00%
dd-ls3 -3749.52 -3750.01 yes 100.00%
dd-ls4 -3749.52 -3749.56 yes 100.00%
fgmd -3749.52 -inf yes 100.00%
fm-bca -3749.52 -3749.52 yes 100.00%
fm -3749.52 -4060.36 yes 100.00%
fw -3749.52 -inf yes 100.00%
ga 3073.91 -inf no 6.67%
hbp -3749.52 -3785.75 yes 100.00%
ipfps 3691.3 -inf no 10.00%
ipfpu 3691.3 -inf no 10.00%
lsm 2695.12 -inf no 16.67%
mp -3749.52 -3751.54 yes 100.00%
mp-fw -3749.52 -3749.52 yes 100.00%
mpm 2051.85 -inf no 53.33%
mp-mcf -3749.52 -3749.52 yes 100.00%
pm 3173.74 -inf no 16.67%
rrwm 2094.69 -inf no 10.00%
sm 4189.03 -inf no 10.00%
smac 1059.81 -inf no 30.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3749.52 -3751.45 yes 100.00%
dd-ls3 -3749.52 -3750.01 yes 100.00%
dd-ls4 -3749.52 -3749.56 yes 100.00%
fgmd -3749.52 -inf yes 100.00%
fm-bca -3749.52 -3749.52 yes 100.00%
fm -3749.52 -4060.36 yes 100.00%
fw -3749.52 -inf yes 100.00%
ga 3073.91 -inf no 6.67%
hbp -3749.52 -3785.75 yes 100.00%
ipfps 3691.3 -inf no 10.00%
ipfpu 3691.3 -inf no 10.00%
lsm 2695.12 -inf no 16.67%
mp -3749.52 -3751.54 yes 100.00%
mp-fw -3749.52 -3749.52 yes 100.00%
mpm 2051.85 -inf no 53.33%
mp-mcf -3749.52 -3749.52 yes 100.00%
pm 3173.74 -inf no 16.67%
rrwm 2094.69 -inf no 10.00%
sm 4189.03 -inf no 10.00%
smac 1059.81 -inf no 30.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: