A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “car22”

This page shows the benchmarks results for the dataset instance “car22”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -55.58.

Run time 1s

method value bound optimal accuracy
dd-ls0 -55.5774 -55.5832 yes 100.00%
dd-ls3 -55.5774 -55.5776 yes 100.00%
dd-ls4 -52.8437 -57.4208 no 92.31%
fgmd inf -inf no
fm-bca -55.5774 -55.5774 yes 100.00%
fm -55.5774 -80.9342 yes 100.00%
fw -48.4211 -inf no 88.46%
ga -55.5774 -inf yes 100.00%
hbp -55.5774 -56.2685 yes 100.00%
ipfps -55.5774 -inf yes 100.00%
ipfpu -55.5774 -inf yes 100.00%
lsm -39.0095 -inf no 46.15%
mp -55.5774 -55.5774 yes 100.00%
mp-fw -55.5774 -55.5774 yes 100.00%
mpm -40.2078 -inf no 57.69%
mp-mcf -55.5774 -55.5774 yes 100.00%
pm -27.8102 -inf no 30.77%
rrwm -55.5774 -inf yes 100.00%
sm -55.5774 -inf yes 100.00%
smac -27.4834 -inf no 7.69%

Run time 10s

method value bound optimal accuracy
dd-ls0 -55.5774 -55.5832 yes 100.00%
dd-ls3 -55.5774 -55.5776 yes 100.00%
dd-ls4 -55.5774 -55.579 yes 100.00%
fgmd -55.5774 -inf yes 100.00%
fm-bca -55.5774 -55.5774 yes 100.00%
fm -55.5774 -80.9342 yes 100.00%
fw -48.4211 -inf no 88.46%
ga -55.5774 -inf yes 100.00%
hbp -55.5774 -56.2685 yes 100.00%
ipfps -55.5774 -inf yes 100.00%
ipfpu -55.5774 -inf yes 100.00%
lsm -39.0095 -inf no 46.15%
mp -55.5774 -55.5774 yes 100.00%
mp-fw -55.5774 -55.5774 yes 100.00%
mpm -40.2078 -inf no 57.69%
mp-mcf -55.5774 -55.5774 yes 100.00%
pm -27.8102 -inf no 30.77%
rrwm -55.5774 -inf yes 100.00%
sm -55.5774 -inf yes 100.00%
smac -27.4834 -inf no 7.69%

Run time 100s

method value bound optimal accuracy
dd-ls0 -55.5774 -55.5832 yes 100.00%
dd-ls3 -55.5774 -55.5776 yes 100.00%
dd-ls4 -55.5774 -55.579 yes 100.00%
fgmd -55.5774 -inf yes 100.00%
fm-bca -55.5774 -55.5774 yes 100.00%
fm -55.5774 -80.9342 yes 100.00%
fw -48.4211 -inf no 88.46%
ga -55.5774 -inf yes 100.00%
hbp -55.5774 -56.2685 yes 100.00%
ipfps -55.5774 -inf yes 100.00%
ipfpu -55.5774 -inf yes 100.00%
lsm -39.0095 -inf no 46.15%
mp -55.5774 -55.5774 yes 100.00%
mp-fw -55.5774 -55.5774 yes 100.00%
mpm -40.2078 -inf no 57.69%
mp-mcf -55.5774 -55.5774 yes 100.00%
pm -27.8102 -inf no 30.77%
rrwm -55.5774 -inf yes 100.00%
sm -55.5774 -inf yes 100.00%
smac -27.4834 -inf no 7.69%

Run time 300s

method value bound optimal accuracy
dd-ls0 -55.5774 -55.5832 yes 100.00%
dd-ls3 -55.5774 -55.5776 yes 100.00%
dd-ls4 -55.5774 -55.579 yes 100.00%
fgmd -55.5774 -inf yes 100.00%
fm-bca -55.5774 -55.5774 yes 100.00%
fm -55.5774 -80.9342 yes 100.00%
fw -48.4211 -inf no 88.46%
ga -55.5774 -inf yes 100.00%
hbp -55.5774 -56.2685 yes 100.00%
ipfps -55.5774 -inf yes 100.00%
ipfpu -55.5774 -inf yes 100.00%
lsm -39.0095 -inf no 46.15%
mp -55.5774 -55.5774 yes 100.00%
mp-fw -55.5774 -55.5774 yes 100.00%
mpm -40.2078 -inf no 57.69%
mp-mcf -55.5774 -55.5774 yes 100.00%
pm -27.8102 -inf no 30.77%
rrwm -55.5774 -inf yes 100.00%
sm -55.5774 -inf yes 100.00%
smac -27.4834 -inf no 7.69%

Other Results for this Dataset

Accumulated results for whole dataset: car

Results for individual instances of the dataset: