A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense62”

This page shows the benchmarks results for the dataset instance “house-dense62”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3748.31.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3748.31 -3748.37 yes 100.00%
dd-ls3 -3748.31 -3750.01 yes 100.00%
dd-ls4 -3748.31 -3766.92 yes 100.00%
fgmd inf -inf no
fm-bca -3748.31 -3748.31 yes 100.00%
fm -3748.31 -4075.82 yes 100.00%
fw -3748.31 -inf yes 100.00%
ga 3776.83 -inf no 10.00%
hbp -3748.31 -3779.22 yes 100.00%
ipfps 3776.83 -inf no 10.00%
ipfpu 3776.83 -inf no 10.00%
lsm inf -inf no
mp -3748.31 -3748.31 yes 100.00%
mp-fw -3748.31 -3844.03 yes 100.00%
mpm 1843.79 -inf no 56.67%
mp-mcf -3354.35 -3839.78 no 80.00%
pm 3230.62 -inf no 23.33%
rrwm 2782.55 -inf no 16.67%
sm 3554.56 -inf no 10.00%
smac 4224.45 -inf no 23.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3748.31 -3748.37 yes 100.00%
dd-ls3 -3748.31 -3748.5 yes 100.00%
dd-ls4 -3748.31 -3748.38 yes 100.00%
fgmd inf -inf no
fm-bca -3748.31 -3748.31 yes 100.00%
fm -3748.31 -4075.82 yes 100.00%
fw -3748.31 -inf yes 100.00%
ga 3776.83 -inf no 10.00%
hbp -3748.31 -3779.22 yes 100.00%
ipfps 3776.83 -inf no 10.00%
ipfpu 3776.83 -inf no 10.00%
lsm 3048.05 -inf no 16.67%
mp -3748.31 -3748.31 yes 100.00%
mp-fw -3748.31 -3784.95 yes 100.00%
mpm 1843.79 -inf no 56.67%
mp-mcf -3748.31 -3748.31 yes 100.00%
pm 3230.62 -inf no 23.33%
rrwm 2782.55 -inf no 16.67%
sm 3554.56 -inf no 10.00%
smac 4224.45 -inf no 23.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3748.31 -3748.37 yes 100.00%
dd-ls3 -3748.31 -3748.5 yes 100.00%
dd-ls4 -3748.31 -3748.38 yes 100.00%
fgmd -2780.56 -inf no 56.67%
fm-bca -3748.31 -3748.31 yes 100.00%
fm -3748.31 -4075.82 yes 100.00%
fw -3748.31 -inf yes 100.00%
ga 3776.83 -inf no 10.00%
hbp -3748.31 -3779.22 yes 100.00%
ipfps 3776.83 -inf no 10.00%
ipfpu 3776.83 -inf no 10.00%
lsm 3048.05 -inf no 16.67%
mp -3748.31 -3748.31 yes 100.00%
mp-fw -3748.31 -3748.31 yes 100.00%
mpm 1843.79 -inf no 56.67%
mp-mcf -3748.31 -3748.31 yes 100.00%
pm 3230.62 -inf no 23.33%
rrwm 2782.55 -inf no 16.67%
sm 3554.56 -inf no 10.00%
smac 4224.45 -inf no 23.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3748.31 -3748.37 yes 100.00%
dd-ls3 -3748.31 -3748.5 yes 100.00%
dd-ls4 -3748.31 -3748.38 yes 100.00%
fgmd -2780.56 -inf no 56.67%
fm-bca -3748.31 -3748.31 yes 100.00%
fm -3748.31 -4075.82 yes 100.00%
fw -3748.31 -inf yes 100.00%
ga 3776.83 -inf no 10.00%
hbp -3748.31 -3779.22 yes 100.00%
ipfps 3776.83 -inf no 10.00%
ipfpu 3776.83 -inf no 10.00%
lsm 3048.05 -inf no 16.67%
mp -3748.31 -3748.31 yes 100.00%
mp-fw -3748.31 -3748.31 yes 100.00%
mpm 1843.79 -inf no 56.67%
mp-mcf -3748.31 -3748.31 yes 100.00%
pm 3230.62 -inf no 23.33%
rrwm 2782.55 -inf no 16.67%
sm 3554.56 -inf no 10.00%
smac 4224.45 -inf no 23.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: