A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense34”

This page shows the benchmarks results for the dataset instance “house-dense34”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3787.27.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3787.27 -3788.66 yes 100.00%
dd-ls3 -3787.27 -3788.03 yes 100.00%
dd-ls4 -3787.27 -3805.45 yes 100.00%
fgmd inf -inf no
fm-bca -3787.27 -3787.27 yes 100.00%
fm -3787.27 -4098.32 yes 100.00%
fw -3787.27 -inf yes 100.00%
ga 3793.99 -inf no 6.67%
hbp -3787.27 -3816.42 yes 100.00%
ipfps 3793.99 -inf no 6.67%
ipfpu 3793.99 -inf no 6.67%
lsm inf -inf no
mp -3632.87 -3796.17 no 80.00%
mp-fw -3787.27 -3866.73 yes 100.00%
mpm 1081.83 -inf no 50.00%
mp-mcf -3519.37 -3862.08 no 73.33%
pm 3314.59 -inf no 16.67%
rrwm 3151.58 -inf no 20.00%
sm 3962.63 -inf no 6.67%
smac 2464.01 -inf no 36.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3787.27 -3788.66 yes 100.00%
dd-ls3 -3787.27 -3788.03 yes 100.00%
dd-ls4 -3787.27 -3787.29 yes 100.00%
fgmd inf -inf no
fm-bca -3787.27 -3787.27 yes 100.00%
fm -3787.27 -4098.32 yes 100.00%
fw -3787.27 -inf yes 100.00%
ga 3793.99 -inf no 6.67%
hbp -3787.27 -3816.42 yes 100.00%
ipfps 3793.99 -inf no 6.67%
ipfpu 3793.99 -inf no 6.67%
lsm 3592.75 -inf no 13.33%
mp -3632.87 -3795.44 no 80.00%
mp-fw -3787.27 -3787.66 yes 100.00%
mpm 1081.83 -inf no 50.00%
mp-mcf -3787.27 -3787.27 yes 100.00%
pm 3314.59 -inf no 16.67%
rrwm 3151.58 -inf no 20.00%
sm 3962.63 -inf no 6.67%
smac 2464.01 -inf no 36.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3787.27 -3788.66 yes 100.00%
dd-ls3 -3787.27 -3788.03 yes 100.00%
dd-ls4 -3787.27 -3787.29 yes 100.00%
fgmd -3787.27 -inf yes 100.00%
fm-bca -3787.27 -3787.27 yes 100.00%
fm -3787.27 -4098.32 yes 100.00%
fw -3787.27 -inf yes 100.00%
ga 3793.99 -inf no 6.67%
hbp -3787.27 -3816.42 yes 100.00%
ipfps 3793.99 -inf no 6.67%
ipfpu 3793.99 -inf no 6.67%
lsm 3592.75 -inf no 13.33%
mp -3632.87 -3795.44 no 80.00%
mp-fw -3787.27 -3787.27 yes 100.00%
mpm 1081.83 -inf no 50.00%
mp-mcf -3787.27 -3787.27 yes 100.00%
pm 3314.59 -inf no 16.67%
rrwm 3151.58 -inf no 20.00%
sm 3962.63 -inf no 6.67%
smac 2464.01 -inf no 36.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3787.27 -3788.66 yes 100.00%
dd-ls3 -3787.27 -3788.03 yes 100.00%
dd-ls4 -3787.27 -3787.29 yes 100.00%
fgmd -3787.27 -inf yes 100.00%
fm-bca -3787.27 -3787.27 yes 100.00%
fm -3787.27 -4098.32 yes 100.00%
fw -3787.27 -inf yes 100.00%
ga 3793.99 -inf no 6.67%
hbp -3787.27 -3816.42 yes 100.00%
ipfps 3793.99 -inf no 6.67%
ipfpu 3793.99 -inf no 6.67%
lsm 3592.75 -inf no 13.33%
mp -3632.87 -3795.44 no 80.00%
mp-fw -3787.27 -3787.27 yes 100.00%
mpm 1081.83 -inf no 50.00%
mp-mcf -3787.27 -3787.27 yes 100.00%
pm 3314.59 -inf no 16.67%
rrwm 3151.58 -inf no 20.00%
sm 3962.63 -inf no 6.67%
smac 2464.01 -inf no 36.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: