A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “car12”

This page shows the benchmarks results for the dataset instance “car12”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -57.36.

Run time 1s

method value bound optimal accuracy
dd-ls0 -57.3608 -57.3611 yes 100.00%
dd-ls3 -57.3608 -58.8663 yes 100.00%
dd-ls4 -35.6327 -64.3685 no 53.57%
fgmd inf -inf no
fm-bca -57.3608 -57.3608 yes 100.00%
fm -57.3608 -91.6738 yes 100.00%
fw -47.1586 -inf no 39.29%
ga -57.3608 -inf yes 100.00%
hbp -57.3608 -59.1605 yes 100.00%
ipfps -51.3974 -inf no 75.00%
ipfpu -54.6667 -inf no 85.71%
lsm -50.8058 -inf no 71.43%
mp -57.3608 -57.3608 yes 100.00%
mp-fw -57.3608 -57.3608 yes 100.00%
mpm -45.6908 -inf no 71.43%
mp-mcf -57.3608 -57.3608 yes 100.00%
pm -26.6434 -inf no 25.00%
rrwm -57.3608 -inf yes 100.00%
sm -42.0567 -inf no 60.71%
smac -42.9156 -inf no 50.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -57.3608 -57.3611 yes 100.00%
dd-ls3 -57.3608 -57.3615 yes 100.00%
dd-ls4 -57.3608 -57.4458 yes 100.00%
fgmd -57.3608 -inf yes 100.00%
fm-bca -57.3608 -57.3608 yes 100.00%
fm -57.3608 -91.6738 yes 100.00%
fw -47.1586 -inf no 39.29%
ga -57.3608 -inf yes 100.00%
hbp -57.3608 -59.1605 yes 100.00%
ipfps -51.3974 -inf no 75.00%
ipfpu -54.6667 -inf no 85.71%
lsm -50.8058 -inf no 71.43%
mp -57.3608 -57.3608 yes 100.00%
mp-fw -57.3608 -57.3608 yes 100.00%
mpm -45.6908 -inf no 71.43%
mp-mcf -57.3608 -57.3608 yes 100.00%
pm -26.6434 -inf no 25.00%
rrwm -57.3608 -inf yes 100.00%
sm -42.0567 -inf no 60.71%
smac -42.9156 -inf no 50.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -57.3608 -57.3611 yes 100.00%
dd-ls3 -57.3608 -57.3615 yes 100.00%
dd-ls4 -57.3608 -57.3631 yes 100.00%
fgmd -57.3608 -inf yes 100.00%
fm-bca -57.3608 -57.3608 yes 100.00%
fm -57.3608 -91.6738 yes 100.00%
fw -47.1586 -inf no 39.29%
ga -57.3608 -inf yes 100.00%
hbp -57.3608 -59.1605 yes 100.00%
ipfps -51.3974 -inf no 75.00%
ipfpu -54.6667 -inf no 85.71%
lsm -50.8058 -inf no 71.43%
mp -57.3608 -57.3608 yes 100.00%
mp-fw -57.3608 -57.3608 yes 100.00%
mpm -45.6908 -inf no 71.43%
mp-mcf -57.3608 -57.3608 yes 100.00%
pm -26.6434 -inf no 25.00%
rrwm -57.3608 -inf yes 100.00%
sm -42.0567 -inf no 60.71%
smac -42.9156 -inf no 50.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -57.3608 -57.3611 yes 100.00%
dd-ls3 -57.3608 -57.3615 yes 100.00%
dd-ls4 -57.3608 -57.3631 yes 100.00%
fgmd -57.3608 -inf yes 100.00%
fm-bca -57.3608 -57.3608 yes 100.00%
fm -57.3608 -91.6738 yes 100.00%
fw -47.1586 -inf no 39.29%
ga -57.3608 -inf yes 100.00%
hbp -57.3608 -59.1605 yes 100.00%
ipfps -51.3974 -inf no 75.00%
ipfpu -54.6667 -inf no 85.71%
lsm -50.8058 -inf no 71.43%
mp -57.3608 -57.3608 yes 100.00%
mp-fw -57.3608 -57.3608 yes 100.00%
mpm -45.6908 -inf no 71.43%
mp-mcf -57.3608 -57.3608 yes 100.00%
pm -26.6434 -inf no 25.00%
rrwm -57.3608 -inf yes 100.00%
sm -42.0567 -inf no 60.71%
smac -42.9156 -inf no 50.00%

Other Results for this Dataset

Accumulated results for whole dataset: car

Results for individual instances of the dataset: