A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense87”

This page shows the benchmarks results for the dataset instance “house-dense87”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3798.54.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3798.54 -3805.87 yes 100.00%
dd-ls3 -3798.54 -3798.67 yes 100.00%
dd-ls4 -3798.54 -3807.05 yes 100.00%
fgmd inf -inf no
fm-bca -3798.54 -3798.54 yes 100.00%
fm -3798.54 -4056.08 yes 100.00%
fw -3798.54 -inf yes 100.00%
ga 2393.48 -inf no 6.67%
hbp -3798.54 -3821.58 yes 100.00%
ipfps 3214.15 -inf no 6.67%
ipfpu 3214.15 -inf no 6.67%
lsm inf -inf no
mp -3798.54 -3798.54 yes 100.00%
mp-fw -3798.54 -3835.05 yes 100.00%
mpm -793.076 -inf no 70.00%
mp-mcf -3798.54 -3833.45 yes 100.00%
pm 2966.18 -inf no 20.00%
rrwm 2391.86 -inf no 10.00%
sm 3365.28 -inf no 6.67%
smac 2118.29 -inf no 36.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3798.54 -3805.87 yes 100.00%
dd-ls3 -3798.54 -3798.67 yes 100.00%
dd-ls4 -3798.54 -3798.73 yes 100.00%
fgmd inf -inf no
fm-bca -3798.54 -3798.54 yes 100.00%
fm -3798.54 -4056.08 yes 100.00%
fw -3798.54 -inf yes 100.00%
ga 2393.48 -inf no 6.67%
hbp -3798.54 -3821.58 yes 100.00%
ipfps 3214.15 -inf no 6.67%
ipfpu 3214.15 -inf no 6.67%
lsm 3700.67 -inf no 13.33%
mp -3798.54 -3798.54 yes 100.00%
mp-fw -3798.54 -3798.54 yes 100.00%
mpm -793.076 -inf no 70.00%
mp-mcf -3798.54 -3798.54 yes 100.00%
pm 2966.18 -inf no 20.00%
rrwm 2391.86 -inf no 10.00%
sm 3365.28 -inf no 6.67%
smac 2118.29 -inf no 36.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3798.54 -3805.87 yes 100.00%
dd-ls3 -3798.54 -3798.67 yes 100.00%
dd-ls4 -3798.54 -3798.73 yes 100.00%
fgmd -2873.38 -inf no 56.67%
fm-bca -3798.54 -3798.54 yes 100.00%
fm -3798.54 -4056.08 yes 100.00%
fw -3798.54 -inf yes 100.00%
ga 2393.48 -inf no 6.67%
hbp -3798.54 -3821.58 yes 100.00%
ipfps 3214.15 -inf no 6.67%
ipfpu 3214.15 -inf no 6.67%
lsm 3700.67 -inf no 13.33%
mp -3798.54 -3798.54 yes 100.00%
mp-fw -3798.54 -3798.54 yes 100.00%
mpm -793.076 -inf no 70.00%
mp-mcf -3798.54 -3798.54 yes 100.00%
pm 2966.18 -inf no 20.00%
rrwm 2391.86 -inf no 10.00%
sm 3365.28 -inf no 6.67%
smac 2118.29 -inf no 36.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3798.54 -3805.87 yes 100.00%
dd-ls3 -3798.54 -3798.67 yes 100.00%
dd-ls4 -3798.54 -3798.73 yes 100.00%
fgmd -2873.38 -inf no 56.67%
fm-bca -3798.54 -3798.54 yes 100.00%
fm -3798.54 -4056.08 yes 100.00%
fw -3798.54 -inf yes 100.00%
ga 2393.48 -inf no 6.67%
hbp -3798.54 -3821.58 yes 100.00%
ipfps 3214.15 -inf no 6.67%
ipfpu 3214.15 -inf no 6.67%
lsm 3700.67 -inf no 13.33%
mp -3798.54 -3798.54 yes 100.00%
mp-fw -3798.54 -3798.54 yes 100.00%
mpm -793.076 -inf no 70.00%
mp-mcf -3798.54 -3798.54 yes 100.00%
pm 2966.18 -inf no 20.00%
rrwm 2391.86 -inf no 10.00%
sm 3365.28 -inf no 6.67%
smac 2118.29 -inf no 36.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: