A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense72”

This page shows the benchmarks results for the dataset instance “house-dense72”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3783.42.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3783.42 -3783.98 yes 100.00%
dd-ls3 -3783.42 -3783.6 yes 100.00%
dd-ls4 -3783.42 -3794.42 yes 100.00%
fgmd inf -inf no
fm-bca -3783.42 -3783.42 yes 100.00%
fm -3783.42 -4060.24 yes 100.00%
fw -3783.42 -inf yes 100.00%
ga 2769.55 -inf no 10.00%
hbp -3783.42 -3813.02 yes 100.00%
ipfps 3252.97 -inf no 6.67%
ipfpu 3252.97 -inf no 6.67%
lsm inf -inf no
mp -3783.42 -3783.42 yes 100.00%
mp-fw -3783.42 -3830.73 yes 100.00%
mpm -200.403 -inf no 63.33%
mp-mcf -3783.42 -3816.77 yes 100.00%
pm 2824.87 -inf no 13.33%
rrwm 2168.82 -inf no 10.00%
sm 3565.2 -inf no 6.67%
smac 3121.24 -inf no 23.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3783.42 -3783.98 yes 100.00%
dd-ls3 -3783.42 -3783.6 yes 100.00%
dd-ls4 -3783.42 -3783.45 yes 100.00%
fgmd inf -inf no
fm-bca -3783.42 -3783.42 yes 100.00%
fm -3783.42 -4060.24 yes 100.00%
fw -3783.42 -inf yes 100.00%
ga 2769.55 -inf no 10.00%
hbp -3783.42 -3813.02 yes 100.00%
ipfps 3252.97 -inf no 6.67%
ipfpu 3252.97 -inf no 6.67%
lsm 3200.19 -inf no 10.00%
mp -3783.42 -3783.42 yes 100.00%
mp-fw -3783.42 -3783.42 yes 100.00%
mpm -200.403 -inf no 63.33%
mp-mcf -3783.42 -3783.42 yes 100.00%
pm 2824.87 -inf no 13.33%
rrwm 2168.82 -inf no 10.00%
sm 3565.2 -inf no 6.67%
smac 3121.24 -inf no 23.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3783.42 -3783.98 yes 100.00%
dd-ls3 -3783.42 -3783.6 yes 100.00%
dd-ls4 -3783.42 -3783.45 yes 100.00%
fgmd -3783.42 -inf yes 100.00%
fm-bca -3783.42 -3783.42 yes 100.00%
fm -3783.42 -4060.24 yes 100.00%
fw -3783.42 -inf yes 100.00%
ga 2769.55 -inf no 10.00%
hbp -3783.42 -3813.02 yes 100.00%
ipfps 3252.97 -inf no 6.67%
ipfpu 3252.97 -inf no 6.67%
lsm 3200.19 -inf no 10.00%
mp -3783.42 -3783.42 yes 100.00%
mp-fw -3783.42 -3783.42 yes 100.00%
mpm -200.403 -inf no 63.33%
mp-mcf -3783.42 -3783.42 yes 100.00%
pm 2824.87 -inf no 13.33%
rrwm 2168.82 -inf no 10.00%
sm 3565.2 -inf no 6.67%
smac 3121.24 -inf no 23.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3783.42 -3783.98 yes 100.00%
dd-ls3 -3783.42 -3783.6 yes 100.00%
dd-ls4 -3783.42 -3783.45 yes 100.00%
fgmd -3783.42 -inf yes 100.00%
fm-bca -3783.42 -3783.42 yes 100.00%
fm -3783.42 -4060.24 yes 100.00%
fw -3783.42 -inf yes 100.00%
ga 2769.55 -inf no 10.00%
hbp -3783.42 -3813.02 yes 100.00%
ipfps 3252.97 -inf no 6.67%
ipfpu 3252.97 -inf no 6.67%
lsm 3200.19 -inf no 10.00%
mp -3783.42 -3783.42 yes 100.00%
mp-fw -3783.42 -3783.42 yes 100.00%
mpm -200.403 -inf no 63.33%
mp-mcf -3783.42 -3783.42 yes 100.00%
pm 2824.87 -inf no 13.33%
rrwm 2168.82 -inf no 10.00%
sm 3565.2 -inf no 6.67%
smac 3121.24 -inf no 23.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: