A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-sparse26”

This page shows the benchmarks results for the dataset instance “house-sparse26”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -66.3636.

Run time 1s

method value bound optimal accuracy
dd-ls0 -66.3636 -66.3747 yes 100.00%
dd-ls3 -66.3636 -66.3687 yes 100.00%
dd-ls4 -51.7309 -70.8057 no 86.67%
fgmd inf -inf no
fm-bca -66.3636 -66.3636 yes 100.00%
fm -66.3636 -78.8363 yes 100.00%
fw 0 -inf no 0.00%
ga -66.3636 -inf yes 100.00%
hbp -66.3636 -66.6743 yes 100.00%
ipfps -66.3636 -inf yes 100.00%
ipfpu -66.3636 -inf yes 100.00%
lsm -66.3636 -inf yes 100.00%
mp -66.3636 -66.3636 yes 100.00%
mp-fw -66.3636 -66.3636 yes 100.00%
mpm -61.6925 -inf no 90.00%
mp-mcf -66.3636 -66.3636 yes 100.00%
pm -53.5542 -inf no 80.00%
rrwm -66.3636 -inf yes 100.00%
sm -66.3636 -inf yes 100.00%
smac -13.8953 -inf no 0.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -66.3636 -66.3747 yes 100.00%
dd-ls3 -66.3636 -66.3687 yes 100.00%
dd-ls4 -66.3636 -66.3868 yes 100.00%
fgmd -66.3636 -inf yes 100.00%
fm-bca -66.3636 -66.3636 yes 100.00%
fm -66.3636 -78.8363 yes 100.00%
fw 0 -inf no 0.00%
ga -66.3636 -inf yes 100.00%
hbp -66.3636 -66.6743 yes 100.00%
ipfps -66.3636 -inf yes 100.00%
ipfpu -66.3636 -inf yes 100.00%
lsm -66.3636 -inf yes 100.00%
mp -66.3636 -66.3636 yes 100.00%
mp-fw -66.3636 -66.3636 yes 100.00%
mpm -61.6925 -inf no 90.00%
mp-mcf -66.3636 -66.3636 yes 100.00%
pm -53.5542 -inf no 80.00%
rrwm -66.3636 -inf yes 100.00%
sm -66.3636 -inf yes 100.00%
smac -13.8953 -inf no 0.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -66.3636 -66.3747 yes 100.00%
dd-ls3 -66.3636 -66.3687 yes 100.00%
dd-ls4 -66.3636 -66.3701 yes 100.00%
fgmd -66.3636 -inf yes 100.00%
fm-bca -66.3636 -66.3636 yes 100.00%
fm -66.3636 -78.8363 yes 100.00%
fw 0 -inf no 0.00%
ga -66.3636 -inf yes 100.00%
hbp -66.3636 -66.6743 yes 100.00%
ipfps -66.3636 -inf yes 100.00%
ipfpu -66.3636 -inf yes 100.00%
lsm -66.3636 -inf yes 100.00%
mp -66.3636 -66.3636 yes 100.00%
mp-fw -66.3636 -66.3636 yes 100.00%
mpm -61.6925 -inf no 90.00%
mp-mcf -66.3636 -66.3636 yes 100.00%
pm -53.5542 -inf no 80.00%
rrwm -66.3636 -inf yes 100.00%
sm -66.3636 -inf yes 100.00%
smac -13.8953 -inf no 0.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -66.3636 -66.3747 yes 100.00%
dd-ls3 -66.3636 -66.3687 yes 100.00%
dd-ls4 -66.3636 -66.3701 yes 100.00%
fgmd -66.3636 -inf yes 100.00%
fm-bca -66.3636 -66.3636 yes 100.00%
fm -66.3636 -78.8363 yes 100.00%
fw 0 -inf no 0.00%
ga -66.3636 -inf yes 100.00%
hbp -66.3636 -66.6743 yes 100.00%
ipfps -66.3636 -inf yes 100.00%
ipfpu -66.3636 -inf yes 100.00%
lsm -66.3636 -inf yes 100.00%
mp -66.3636 -66.3636 yes 100.00%
mp-fw -66.3636 -66.3636 yes 100.00%
mpm -61.6925 -inf no 90.00%
mp-mcf -66.3636 -66.3636 yes 100.00%
pm -53.5542 -inf no 80.00%
rrwm -66.3636 -inf yes 100.00%
sm -66.3636 -inf yes 100.00%
smac -13.8953 -inf no 0.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-sparse

Results for individual instances of the dataset: