A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “opengm2”

This page shows the benchmarks results for the dataset instance “opengm2”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -166.42.

Run time 1s

method value bound optimal accuracy
dd-ls0 -166.418 -166.421 yes –
dd-ls3 -124.384 -177.705 no –
dd-ls4 -101.501 -211.222 no –
fgmd inf -inf no –
fm-bca -166.418 -171.403 yes –
fm -166.418 -190 yes –
fw -152.393 -inf no –
ga -158.751 -inf no –
hbp inf -inf no –
ipfps -77.6898 -inf no –
ipfpu -78.1921 -inf no –
lsm -53.5726 -inf no –
mp -45.6997 -190 no –
mp-fw -141.463 -190 no –
mpm -66.1794 -inf no –
mp-mcf -45.6997 -190 no –
pm -73.2176 -inf no –
rrwm -153.48 -inf no –
sm -100.195 -inf no –
smac -82.2071 -inf no –

Run time 10s

method value bound optimal accuracy
dd-ls0 -166.418 -166.421 yes –
dd-ls3 -166.418 -166.422 yes –
dd-ls4 -166.418 -167.996 yes –
fgmd inf -inf no –
fm-bca -166.418 -171.403 yes –
fm -166.418 -190 yes –
fw -152.393 -inf no –
ga -158.751 -inf no –
hbp -166.418 -175.809 yes –
ipfps -77.6898 -inf no –
ipfpu -78.1921 -inf no –
lsm -53.5726 -inf no –
mp -45.6997 -190 no –
mp-fw -141.463 -190 no –
mpm -66.1794 -inf no –
mp-mcf -45.6997 -190 no –
pm -73.2176 -inf no –
rrwm -153.48 -inf no –
sm -100.195 -inf no –
smac -82.2071 -inf no –

Run time 100s

method value bound optimal accuracy
dd-ls0 -166.418 -166.421 yes –
dd-ls3 -166.418 -166.422 yes –
dd-ls4 -166.418 -166.424 yes –
fgmd -145.128 -inf no –
fm-bca -166.418 -171.403 yes –
fm -166.418 -190 yes –
fw -152.393 -inf no –
ga -158.751 -inf no –
hbp -166.418 -175.809 yes –
ipfps -77.6898 -inf no –
ipfpu -78.1921 -inf no –
lsm -53.5726 -inf no –
mp -45.6997 -190 no –
mp-fw -141.463 -190 no –
mpm -66.1794 -inf no –
mp-mcf -45.6997 -190 no –
pm -73.2176 -inf no –
rrwm -153.48 -inf no –
sm -100.195 -inf no –
smac -82.2071 -inf no –

Run time 300s

method value bound optimal accuracy
dd-ls0 -166.418 -166.421 yes –
dd-ls3 -166.418 -166.422 yes –
dd-ls4 -166.418 -166.424 yes –
fgmd -145.128 -inf no –
fm-bca -166.418 -171.403 yes –
fm -166.418 -190 yes –
fw -152.393 -inf no –
ga -158.751 -inf no –
hbp -166.418 -175.809 yes –
ipfps -77.6898 -inf no –
ipfpu -78.1921 -inf no –
lsm -53.5726 -inf no –
mp -45.6997 -190 no –
mp-fw -141.463 -190 no –
mpm -66.1794 -inf no –
mp-mcf -45.6997 -190 no –
pm -73.2176 -inf no –
rrwm -153.48 -inf no –
sm -100.195 -inf no –
smac -82.2071 -inf no –

Other Results for this Dataset

Accumulated results for whole dataset: opengm

Results for individual instances of the dataset: