A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-sparse31”

This page shows the benchmarks results for the dataset instance “house-sparse31”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -67.344.

Run time 1s

method value bound optimal accuracy
dd-ls0 -67.344 -67.3491 yes 100.00%
dd-ls3 -67.344 -67.3529 yes 100.00%
dd-ls4 -51.7305 -70.4255 no 83.33%
fgmd inf -inf no
fm-bca -67.344 -67.344 yes 100.00%
fm -67.344 -78.8229 yes 100.00%
fw 0 -inf no 0.00%
ga -67.344 -inf yes 100.00%
hbp -67.344 -67.6181 yes 100.00%
ipfps -67.344 -inf yes 100.00%
ipfpu -67.344 -inf yes 100.00%
lsm -64.1133 -inf no 93.33%
mp -67.344 -67.344 yes 100.00%
mp-fw -67.344 -67.344 yes 100.00%
mpm -62.6921 -inf no 90.00%
mp-mcf -67.344 -67.344 yes 100.00%
pm -54.522 -inf no 80.00%
rrwm -67.344 -inf yes 100.00%
sm -67.344 -inf yes 100.00%
smac -67.344 -inf yes 100.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -67.344 -67.3491 yes 100.00%
dd-ls3 -67.344 -67.3529 yes 100.00%
dd-ls4 -67.344 -67.3486 yes 100.00%
fgmd -67.344 -inf yes 100.00%
fm-bca -67.344 -67.344 yes 100.00%
fm -67.344 -78.8229 yes 100.00%
fw 0 -inf no 0.00%
ga -67.344 -inf yes 100.00%
hbp -67.344 -67.6181 yes 100.00%
ipfps -67.344 -inf yes 100.00%
ipfpu -67.344 -inf yes 100.00%
lsm -64.1133 -inf no 93.33%
mp -67.344 -67.344 yes 100.00%
mp-fw -67.344 -67.344 yes 100.00%
mpm -62.6921 -inf no 90.00%
mp-mcf -67.344 -67.344 yes 100.00%
pm -54.522 -inf no 80.00%
rrwm -67.344 -inf yes 100.00%
sm -67.344 -inf yes 100.00%
smac -67.344 -inf yes 100.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -67.344 -67.3491 yes 100.00%
dd-ls3 -67.344 -67.3529 yes 100.00%
dd-ls4 -67.344 -67.3486 yes 100.00%
fgmd -67.344 -inf yes 100.00%
fm-bca -67.344 -67.344 yes 100.00%
fm -67.344 -78.8229 yes 100.00%
fw 0 -inf no 0.00%
ga -67.344 -inf yes 100.00%
hbp -67.344 -67.6181 yes 100.00%
ipfps -67.344 -inf yes 100.00%
ipfpu -67.344 -inf yes 100.00%
lsm -64.1133 -inf no 93.33%
mp -67.344 -67.344 yes 100.00%
mp-fw -67.344 -67.344 yes 100.00%
mpm -62.6921 -inf no 90.00%
mp-mcf -67.344 -67.344 yes 100.00%
pm -54.522 -inf no 80.00%
rrwm -67.344 -inf yes 100.00%
sm -67.344 -inf yes 100.00%
smac -67.344 -inf yes 100.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -67.344 -67.3491 yes 100.00%
dd-ls3 -67.344 -67.3529 yes 100.00%
dd-ls4 -67.344 -67.3486 yes 100.00%
fgmd -67.344 -inf yes 100.00%
fm-bca -67.344 -67.344 yes 100.00%
fm -67.344 -78.8229 yes 100.00%
fw 0 -inf no 0.00%
ga -67.344 -inf yes 100.00%
hbp -67.344 -67.6181 yes 100.00%
ipfps -67.344 -inf yes 100.00%
ipfpu -67.344 -inf yes 100.00%
lsm -64.1133 -inf no 93.33%
mp -67.344 -67.344 yes 100.00%
mp-fw -67.344 -67.344 yes 100.00%
mpm -62.6921 -inf no 90.00%
mp-mcf -67.344 -67.344 yes 100.00%
pm -54.522 -inf no 80.00%
rrwm -67.344 -inf yes 100.00%
sm -67.344 -inf yes 100.00%
smac -67.344 -inf yes 100.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-sparse

Results for individual instances of the dataset: