A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “car25”

This page shows the benchmarks results for the dataset instance “car25”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -34.19.

Run time 1s

method value bound optimal accuracy
dd-ls0 -34.1897 -34.1959 yes 100.00%
dd-ls3 -34.1897 -34.1919 yes 100.00%
dd-ls4 -28.7653 -37.1782 no 70.00%
fgmd inf -inf no
fm-bca -34.1897 -34.9894 yes 100.00%
fm -34.1897 -60.3332 yes 100.00%
fw -26.7765 -inf no 20.00%
ga -33.8157 -inf no 90.00%
hbp -34.1897 -38.0006 yes 100.00%
ipfps -29.2605 -inf no 60.00%
ipfpu -27.5139 -inf no 35.00%
lsm -28.0284 -inf no 65.00%
mp -34.1897 -34.7199 yes 100.00%
mp-fw -34.1897 -34.1897 yes 100.00%
mpm -22.316 -inf no 40.00%
mp-mcf -34.1897 -34.1897 yes 100.00%
pm -20.1323 -inf no 30.00%
rrwm -33.8157 -inf no 90.00%
sm -30.6518 -inf no 75.00%
smac -25.0524 -inf no 60.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -34.1897 -34.1959 yes 100.00%
dd-ls3 -34.1897 -34.1919 yes 100.00%
dd-ls4 -34.1897 -34.1929 yes 100.00%
fgmd -33.8157 -inf no 90.00%
fm-bca -34.1897 -34.9894 yes 100.00%
fm -34.1897 -60.3332 yes 100.00%
fw -26.7765 -inf no 20.00%
ga -33.8157 -inf no 90.00%
hbp -34.1897 -38.0006 yes 100.00%
ipfps -29.2605 -inf no 60.00%
ipfpu -27.5139 -inf no 35.00%
lsm -28.0284 -inf no 65.00%
mp -34.1897 -34.7174 yes 100.00%
mp-fw -34.1897 -34.1897 yes 100.00%
mpm -22.316 -inf no 40.00%
mp-mcf -34.1897 -34.1897 yes 100.00%
pm -20.1323 -inf no 30.00%
rrwm -33.8157 -inf no 90.00%
sm -30.6518 -inf no 75.00%
smac -25.0524 -inf no 60.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -34.1897 -34.1959 yes 100.00%
dd-ls3 -34.1897 -34.1919 yes 100.00%
dd-ls4 -34.1897 -34.1929 yes 100.00%
fgmd -33.8157 -inf no 90.00%
fm-bca -34.1897 -34.9894 yes 100.00%
fm -34.1897 -60.3332 yes 100.00%
fw -26.7765 -inf no 20.00%
ga -33.8157 -inf no 90.00%
hbp -34.1897 -38.0006 yes 100.00%
ipfps -29.2605 -inf no 60.00%
ipfpu -27.5139 -inf no 35.00%
lsm -28.0284 -inf no 65.00%
mp -34.1897 -34.7174 yes 100.00%
mp-fw -34.1897 -34.1897 yes 100.00%
mpm -22.316 -inf no 40.00%
mp-mcf -34.1897 -34.1897 yes 100.00%
pm -20.1323 -inf no 30.00%
rrwm -33.8157 -inf no 90.00%
sm -30.6518 -inf no 75.00%
smac -25.0524 -inf no 60.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -34.1897 -34.1959 yes 100.00%
dd-ls3 -34.1897 -34.1919 yes 100.00%
dd-ls4 -34.1897 -34.1929 yes 100.00%
fgmd -33.8157 -inf no 90.00%
fm-bca -34.1897 -34.9894 yes 100.00%
fm -34.1897 -60.3332 yes 100.00%
fw -26.7765 -inf no 20.00%
ga -33.8157 -inf no 90.00%
hbp -34.1897 -38.0006 yes 100.00%
ipfps -29.2605 -inf no 60.00%
ipfpu -27.5139 -inf no 35.00%
lsm -28.0284 -inf no 65.00%
mp -34.1897 -34.7174 yes 100.00%
mp-fw -34.1897 -34.1897 yes 100.00%
mpm -22.316 -inf no 40.00%
mp-mcf -34.1897 -34.1897 yes 100.00%
pm -20.1323 -inf no 30.00%
rrwm -33.8157 -inf no 90.00%
sm -30.6518 -inf no 75.00%
smac -25.0524 -inf no 60.00%

Other Results for this Dataset

Accumulated results for whole dataset: car

Results for individual instances of the dataset: