A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “car16”

This page shows the benchmarks results for the dataset instance “car16”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -68.21.

Run time 1s

method value bound optimal accuracy
dd-ls0 -68.2116 -68.2118 yes 100.00%
dd-ls3 -68.2116 -68.2121 yes 100.00%
dd-ls4 -49.8854 -71.7075 no 53.33%
fgmd inf -inf no
fm-bca -68.2116 -68.2116 yes 100.00%
fm -68.2116 -97.6336 yes 100.00%
fw -54.1969 -inf no 73.33%
ga -68.2116 -inf yes 100.00%
hbp -68.2116 -69.3026 yes 100.00%
ipfps -61.4925 -inf no 76.67%
ipfpu -60.3171 -inf no 70.00%
lsm -57.4065 -inf no 70.00%
mp -68.2116 -68.2116 yes 100.00%
mp-fw -68.2116 -68.2116 yes 100.00%
mpm -42.0409 -inf no 40.00%
mp-mcf -68.2116 -68.2116 yes 100.00%
pm -38.2702 -inf no 26.67%
rrwm -68.2116 -inf yes 100.00%
sm -61.7217 -inf no 80.00%
smac -56.5036 -inf no 73.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -68.2116 -68.2118 yes 100.00%
dd-ls3 -68.2116 -68.2121 yes 100.00%
dd-ls4 -68.2116 -68.2136 yes 100.00%
fgmd -68.2116 -inf yes 100.00%
fm-bca -68.2116 -68.2116 yes 100.00%
fm -68.2116 -97.6336 yes 100.00%
fw -54.1969 -inf no 73.33%
ga -68.2116 -inf yes 100.00%
hbp -68.2116 -69.3026 yes 100.00%
ipfps -61.4925 -inf no 76.67%
ipfpu -60.3171 -inf no 70.00%
lsm -57.4065 -inf no 70.00%
mp -68.2116 -68.2116 yes 100.00%
mp-fw -68.2116 -68.2116 yes 100.00%
mpm -42.0409 -inf no 40.00%
mp-mcf -68.2116 -68.2116 yes 100.00%
pm -38.2702 -inf no 26.67%
rrwm -68.2116 -inf yes 100.00%
sm -61.7217 -inf no 80.00%
smac -56.5036 -inf no 73.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -68.2116 -68.2118 yes 100.00%
dd-ls3 -68.2116 -68.2121 yes 100.00%
dd-ls4 -68.2116 -68.2136 yes 100.00%
fgmd -68.2116 -inf yes 100.00%
fm-bca -68.2116 -68.2116 yes 100.00%
fm -68.2116 -97.6336 yes 100.00%
fw -54.1969 -inf no 73.33%
ga -68.2116 -inf yes 100.00%
hbp -68.2116 -69.3026 yes 100.00%
ipfps -61.4925 -inf no 76.67%
ipfpu -60.3171 -inf no 70.00%
lsm -57.4065 -inf no 70.00%
mp -68.2116 -68.2116 yes 100.00%
mp-fw -68.2116 -68.2116 yes 100.00%
mpm -42.0409 -inf no 40.00%
mp-mcf -68.2116 -68.2116 yes 100.00%
pm -38.2702 -inf no 26.67%
rrwm -68.2116 -inf yes 100.00%
sm -61.7217 -inf no 80.00%
smac -56.5036 -inf no 73.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -68.2116 -68.2118 yes 100.00%
dd-ls3 -68.2116 -68.2121 yes 100.00%
dd-ls4 -68.2116 -68.2136 yes 100.00%
fgmd -68.2116 -inf yes 100.00%
fm-bca -68.2116 -68.2116 yes 100.00%
fm -68.2116 -97.6336 yes 100.00%
fw -54.1969 -inf no 73.33%
ga -68.2116 -inf yes 100.00%
hbp -68.2116 -69.3026 yes 100.00%
ipfps -61.4925 -inf no 76.67%
ipfpu -60.3171 -inf no 70.00%
lsm -57.4065 -inf no 70.00%
mp -68.2116 -68.2116 yes 100.00%
mp-fw -68.2116 -68.2116 yes 100.00%
mpm -42.0409 -inf no 40.00%
mp-mcf -68.2116 -68.2116 yes 100.00%
pm -38.2702 -inf no 26.67%
rrwm -68.2116 -inf yes 100.00%
sm -61.7217 -inf no 80.00%
smac -56.5036 -inf no 73.33%

Other Results for this Dataset

Accumulated results for whole dataset: car

Results for individual instances of the dataset: