A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “car19”

This page shows the benchmarks results for the dataset instance “car19”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -115.11.

Run time 1s

method value bound optimal accuracy
dd-ls0 -115.107 -115.146 yes 100.00%
dd-ls3 -70.3979 -128.307 no 55.10%
dd-ls4 -69.5753 -130.062 no 53.06%
fgmd inf -inf no
fm-bca -115.107 -115.107 yes 100.00%
fm -113.624 -169.633 no 89.80%
fw -110.77 -inf no 77.55%
ga -111.762 -inf no 83.67%
hbp -115.107 -117.112 yes 100.00%
ipfps -102.593 -inf no 73.47%
ipfpu -92.4526 -inf no 65.31%
lsm -51.9479 -inf no 0.00%
mp -115.107 -115.107 yes 100.00%
mp-fw -115.107 -115.222 yes 100.00%
mpm inf -inf no
mp-mcf -115.107 -115.107 yes 100.00%
pm -50.8384 -inf no 18.37%
rrwm -112.835 -inf no 93.88%
sm -98.6922 -inf no 69.39%
smac -78.8458 -inf no 48.98%

Run time 10s

method value bound optimal accuracy
dd-ls0 -115.107 -115.146 yes 100.00%
dd-ls3 -115.107 -115.115 yes 100.00%
dd-ls4 -87.145 -121.899 no 77.55%
fgmd -115.107 -inf yes 100.00%
fm-bca -115.107 -115.107 yes 100.00%
fm -115.107 -169.633 yes 100.00%
fw -110.77 -inf no 77.55%
ga -111.762 -inf no 83.67%
hbp -115.107 -117.112 yes 100.00%
ipfps -102.593 -inf no 73.47%
ipfpu -92.4526 -inf no 65.31%
lsm -51.9479 -inf no 0.00%
mp -115.107 -115.107 yes 100.00%
mp-fw -115.107 -115.107 yes 100.00%
mpm -101.236 -inf no 79.59%
mp-mcf -115.107 -115.107 yes 100.00%
pm -50.8384 -inf no 18.37%
rrwm -112.835 -inf no 93.88%
sm -98.6922 -inf no 69.39%
smac -78.8458 -inf no 48.98%

Run time 100s

method value bound optimal accuracy
dd-ls0 -115.107 -115.146 yes 100.00%
dd-ls3 -115.107 -115.115 yes 100.00%
dd-ls4 -115.107 -115.109 yes 100.00%
fgmd -115.107 -inf yes 100.00%
fm-bca -115.107 -115.107 yes 100.00%
fm -115.107 -169.633 yes 100.00%
fw -110.77 -inf no 77.55%
ga -111.762 -inf no 83.67%
hbp -115.107 -117.112 yes 100.00%
ipfps -102.593 -inf no 73.47%
ipfpu -92.4526 -inf no 65.31%
lsm -51.9479 -inf no 0.00%
mp -115.107 -115.107 yes 100.00%
mp-fw -115.107 -115.107 yes 100.00%
mpm -101.236 -inf no 79.59%
mp-mcf -115.107 -115.107 yes 100.00%
pm -50.8384 -inf no 18.37%
rrwm -112.835 -inf no 93.88%
sm -98.6922 -inf no 69.39%
smac -78.8458 -inf no 48.98%

Run time 300s

method value bound optimal accuracy
dd-ls0 -115.107 -115.146 yes 100.00%
dd-ls3 -115.107 -115.115 yes 100.00%
dd-ls4 -115.107 -115.109 yes 100.00%
fgmd -115.107 -inf yes 100.00%
fm-bca -115.107 -115.107 yes 100.00%
fm -115.107 -169.633 yes 100.00%
fw -110.77 -inf no 77.55%
ga -111.762 -inf no 83.67%
hbp -115.107 -117.112 yes 100.00%
ipfps -102.593 -inf no 73.47%
ipfpu -92.4526 -inf no 65.31%
lsm -51.9479 -inf no 0.00%
mp -115.107 -115.107 yes 100.00%
mp-fw -115.107 -115.107 yes 100.00%
mpm -101.236 -inf no 79.59%
mp-mcf -115.107 -115.107 yes 100.00%
pm -50.8384 -inf no 18.37%
rrwm -112.835 -inf no 93.88%
sm -98.6922 -inf no 69.39%
smac -78.8458 -inf no 48.98%

Other Results for this Dataset

Accumulated results for whole dataset: car

Results for individual instances of the dataset: