A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-sparse33”

This page shows the benchmarks results for the dataset instance “house-sparse33”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -65.9855.

Run time 1s

method value bound optimal accuracy
dd-ls0 -65.9855 -66.0424 yes 100.00%
dd-ls3 -65.9855 -65.9863 yes 100.00%
dd-ls4 -51.1188 -69.9349 no 83.33%
fgmd inf -inf no
fm-bca -65.9855 -65.9855 yes 100.00%
fm -65.9855 -78.7822 yes 100.00%
fw 0 -inf no 0.00%
ga -65.9855 -inf yes 100.00%
hbp -65.9855 -66.3186 yes 100.00%
ipfps -65.9855 -inf yes 100.00%
ipfpu -65.9855 -inf yes 100.00%
lsm -62.7747 -inf no 93.33%
mp -65.9855 -65.9855 yes 100.00%
mp-fw -65.9855 -65.9855 yes 100.00%
mpm -61.4165 -inf no 90.00%
mp-mcf -65.9855 -65.9855 yes 100.00%
pm -53.233 -inf no 80.00%
rrwm -65.9855 -inf yes 100.00%
sm -65.9855 -inf yes 100.00%
smac -65.9855 -inf yes 100.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -65.9855 -66.0424 yes 100.00%
dd-ls3 -65.9855 -65.9863 yes 100.00%
dd-ls4 -65.9855 -65.9858 yes 100.00%
fgmd -65.9855 -inf yes 100.00%
fm-bca -65.9855 -65.9855 yes 100.00%
fm -65.9855 -78.7822 yes 100.00%
fw 0 -inf no 0.00%
ga -65.9855 -inf yes 100.00%
hbp -65.9855 -66.3186 yes 100.00%
ipfps -65.9855 -inf yes 100.00%
ipfpu -65.9855 -inf yes 100.00%
lsm -62.7747 -inf no 93.33%
mp -65.9855 -65.9855 yes 100.00%
mp-fw -65.9855 -65.9855 yes 100.00%
mpm -61.4165 -inf no 90.00%
mp-mcf -65.9855 -65.9855 yes 100.00%
pm -53.233 -inf no 80.00%
rrwm -65.9855 -inf yes 100.00%
sm -65.9855 -inf yes 100.00%
smac -65.9855 -inf yes 100.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -65.9855 -66.0424 yes 100.00%
dd-ls3 -65.9855 -65.9863 yes 100.00%
dd-ls4 -65.9855 -65.9858 yes 100.00%
fgmd -65.9855 -inf yes 100.00%
fm-bca -65.9855 -65.9855 yes 100.00%
fm -65.9855 -78.7822 yes 100.00%
fw 0 -inf no 0.00%
ga -65.9855 -inf yes 100.00%
hbp -65.9855 -66.3186 yes 100.00%
ipfps -65.9855 -inf yes 100.00%
ipfpu -65.9855 -inf yes 100.00%
lsm -62.7747 -inf no 93.33%
mp -65.9855 -65.9855 yes 100.00%
mp-fw -65.9855 -65.9855 yes 100.00%
mpm -61.4165 -inf no 90.00%
mp-mcf -65.9855 -65.9855 yes 100.00%
pm -53.233 -inf no 80.00%
rrwm -65.9855 -inf yes 100.00%
sm -65.9855 -inf yes 100.00%
smac -65.9855 -inf yes 100.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -65.9855 -66.0424 yes 100.00%
dd-ls3 -65.9855 -65.9863 yes 100.00%
dd-ls4 -65.9855 -65.9858 yes 100.00%
fgmd -65.9855 -inf yes 100.00%
fm-bca -65.9855 -65.9855 yes 100.00%
fm -65.9855 -78.7822 yes 100.00%
fw 0 -inf no 0.00%
ga -65.9855 -inf yes 100.00%
hbp -65.9855 -66.3186 yes 100.00%
ipfps -65.9855 -inf yes 100.00%
ipfpu -65.9855 -inf yes 100.00%
lsm -62.7747 -inf no 93.33%
mp -65.9855 -65.9855 yes 100.00%
mp-fw -65.9855 -65.9855 yes 100.00%
mpm -61.4165 -inf no 90.00%
mp-mcf -65.9855 -65.9855 yes 100.00%
pm -53.233 -inf no 80.00%
rrwm -65.9855 -inf yes 100.00%
sm -65.9855 -inf yes 100.00%
smac -65.9855 -inf yes 100.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-sparse

Results for individual instances of the dataset: