A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “car9”

This page shows the benchmarks results for the dataset instance “car9”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -62.4.

Run time 1s

method value bound optimal accuracy
dd-ls0 -62.3987 -62.4065 yes 100.00%
dd-ls3 -62.3987 -62.4079 yes 100.00%
dd-ls4 -62.3987 -62.4311 yes 100.00%
fgmd inf -inf no
fm-bca -62.3987 -62.3987 yes 100.00%
fm -62.3987 -79.704 yes 100.00%
fw -56.0075 -inf no 84.00%
ga -62.3987 -inf yes 100.00%
hbp -62.3987 -62.6462 yes 100.00%
ipfps -62.3987 -inf yes 100.00%
ipfpu -62.3987 -inf yes 100.00%
lsm -51.7983 -inf no 76.00%
mp -62.3987 -62.3987 yes 100.00%
mp-fw -62.3987 -62.3987 yes 100.00%
mpm -58.9174 -inf no 88.00%
mp-mcf -62.3987 -62.3987 yes 100.00%
pm -35.4174 -inf no 48.00%
rrwm -62.3987 -inf yes 100.00%
sm -55.2212 -inf no 84.00%
smac -57.4347 -inf no 84.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -62.3987 -62.4065 yes 100.00%
dd-ls3 -62.3987 -62.4079 yes 100.00%
dd-ls4 -62.3987 -62.3991 yes 100.00%
fgmd -62.3987 -inf yes 100.00%
fm-bca -62.3987 -62.3987 yes 100.00%
fm -62.3987 -79.704 yes 100.00%
fw -56.0075 -inf no 84.00%
ga -62.3987 -inf yes 100.00%
hbp -62.3987 -62.6462 yes 100.00%
ipfps -62.3987 -inf yes 100.00%
ipfpu -62.3987 -inf yes 100.00%
lsm -51.7983 -inf no 76.00%
mp -62.3987 -62.3987 yes 100.00%
mp-fw -62.3987 -62.3987 yes 100.00%
mpm -58.9174 -inf no 88.00%
mp-mcf -62.3987 -62.3987 yes 100.00%
pm -35.4174 -inf no 48.00%
rrwm -62.3987 -inf yes 100.00%
sm -55.2212 -inf no 84.00%
smac -57.4347 -inf no 84.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -62.3987 -62.4065 yes 100.00%
dd-ls3 -62.3987 -62.4079 yes 100.00%
dd-ls4 -62.3987 -62.3991 yes 100.00%
fgmd -62.3987 -inf yes 100.00%
fm-bca -62.3987 -62.3987 yes 100.00%
fm -62.3987 -79.704 yes 100.00%
fw -56.0075 -inf no 84.00%
ga -62.3987 -inf yes 100.00%
hbp -62.3987 -62.6462 yes 100.00%
ipfps -62.3987 -inf yes 100.00%
ipfpu -62.3987 -inf yes 100.00%
lsm -51.7983 -inf no 76.00%
mp -62.3987 -62.3987 yes 100.00%
mp-fw -62.3987 -62.3987 yes 100.00%
mpm -58.9174 -inf no 88.00%
mp-mcf -62.3987 -62.3987 yes 100.00%
pm -35.4174 -inf no 48.00%
rrwm -62.3987 -inf yes 100.00%
sm -55.2212 -inf no 84.00%
smac -57.4347 -inf no 84.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -62.3987 -62.4065 yes 100.00%
dd-ls3 -62.3987 -62.4079 yes 100.00%
dd-ls4 -62.3987 -62.3991 yes 100.00%
fgmd -62.3987 -inf yes 100.00%
fm-bca -62.3987 -62.3987 yes 100.00%
fm -62.3987 -79.704 yes 100.00%
fw -56.0075 -inf no 84.00%
ga -62.3987 -inf yes 100.00%
hbp -62.3987 -62.6462 yes 100.00%
ipfps -62.3987 -inf yes 100.00%
ipfpu -62.3987 -inf yes 100.00%
lsm -51.7983 -inf no 76.00%
mp -62.3987 -62.3987 yes 100.00%
mp-fw -62.3987 -62.3987 yes 100.00%
mpm -58.9174 -inf no 88.00%
mp-mcf -62.3987 -62.3987 yes 100.00%
pm -35.4174 -inf no 48.00%
rrwm -62.3987 -inf yes 100.00%
sm -55.2212 -inf no 84.00%
smac -57.4347 -inf no 84.00%

Other Results for this Dataset

Accumulated results for whole dataset: car

Results for individual instances of the dataset: