A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-sparse54”

This page shows the benchmarks results for the dataset instance “house-sparse54”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -65.2837.

Run time 1s

method value bound optimal accuracy
dd-ls0 -65.2837 -65.2989 yes 100.00%
dd-ls3 -65.2837 -65.3347 yes 100.00%
dd-ls4 -56.8657 -71.3912 no 86.67%
fgmd inf -inf no
fm-bca -65.2837 -65.2837 yes 100.00%
fm -65.2837 -78.8311 yes 100.00%
fw 0 -inf no 0.00%
ga -65.2837 -inf yes 100.00%
hbp -65.2837 -65.8866 yes 100.00%
ipfps -65.2837 -inf yes 100.00%
ipfpu -65.2837 -inf yes 100.00%
lsm -62.1045 -inf no 93.33%
mp -65.2837 -65.2837 yes 100.00%
mp-fw -65.2837 -65.2837 yes 100.00%
mpm -57.3555 -inf no 83.33%
mp-mcf -65.2837 -65.2837 yes 100.00%
pm -52.4976 -inf no 80.00%
rrwm -65.2837 -inf yes 100.00%
sm -65.2837 -inf yes 100.00%
smac -44.4665 -inf no 66.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -65.2837 -65.2989 yes 100.00%
dd-ls3 -65.2837 -65.2848 yes 100.00%
dd-ls4 -65.2837 -65.2868 yes 100.00%
fgmd -65.2837 -inf yes 100.00%
fm-bca -65.2837 -65.2837 yes 100.00%
fm -65.2837 -78.8311 yes 100.00%
fw 0 -inf no 0.00%
ga -65.2837 -inf yes 100.00%
hbp -65.2837 -65.8866 yes 100.00%
ipfps -65.2837 -inf yes 100.00%
ipfpu -65.2837 -inf yes 100.00%
lsm -62.1045 -inf no 93.33%
mp -65.2837 -65.2837 yes 100.00%
mp-fw -65.2837 -65.2837 yes 100.00%
mpm -57.3555 -inf no 83.33%
mp-mcf -65.2837 -65.2837 yes 100.00%
pm -52.4976 -inf no 80.00%
rrwm -65.2837 -inf yes 100.00%
sm -65.2837 -inf yes 100.00%
smac -44.4665 -inf no 66.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -65.2837 -65.2989 yes 100.00%
dd-ls3 -65.2837 -65.2848 yes 100.00%
dd-ls4 -65.2837 -65.2868 yes 100.00%
fgmd -65.2837 -inf yes 100.00%
fm-bca -65.2837 -65.2837 yes 100.00%
fm -65.2837 -78.8311 yes 100.00%
fw 0 -inf no 0.00%
ga -65.2837 -inf yes 100.00%
hbp -65.2837 -65.8866 yes 100.00%
ipfps -65.2837 -inf yes 100.00%
ipfpu -65.2837 -inf yes 100.00%
lsm -62.1045 -inf no 93.33%
mp -65.2837 -65.2837 yes 100.00%
mp-fw -65.2837 -65.2837 yes 100.00%
mpm -57.3555 -inf no 83.33%
mp-mcf -65.2837 -65.2837 yes 100.00%
pm -52.4976 -inf no 80.00%
rrwm -65.2837 -inf yes 100.00%
sm -65.2837 -inf yes 100.00%
smac -44.4665 -inf no 66.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -65.2837 -65.2989 yes 100.00%
dd-ls3 -65.2837 -65.2848 yes 100.00%
dd-ls4 -65.2837 -65.2868 yes 100.00%
fgmd -65.2837 -inf yes 100.00%
fm-bca -65.2837 -65.2837 yes 100.00%
fm -65.2837 -78.8311 yes 100.00%
fw 0 -inf no 0.00%
ga -65.2837 -inf yes 100.00%
hbp -65.2837 -65.8866 yes 100.00%
ipfps -65.2837 -inf yes 100.00%
ipfpu -65.2837 -inf yes 100.00%
lsm -62.1045 -inf no 93.33%
mp -65.2837 -65.2837 yes 100.00%
mp-fw -65.2837 -65.2837 yes 100.00%
mpm -57.3555 -inf no 83.33%
mp-mcf -65.2837 -65.2837 yes 100.00%
pm -52.4976 -inf no 80.00%
rrwm -65.2837 -inf yes 100.00%
sm -65.2837 -inf yes 100.00%
smac -44.4665 -inf no 66.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-sparse

Results for individual instances of the dataset: