A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense9”

This page shows the benchmarks results for the dataset instance “house-dense9”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3807.82.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3807.82 -3808.2 yes 100.00%
dd-ls3 -3807.82 -3808.29 yes 100.00%
dd-ls4 -3807.82 -3813.43 yes 100.00%
fgmd inf -inf no
fm-bca -3807.82 -3807.82 yes 100.00%
fm -3807.82 -4097.31 yes 100.00%
fw -3807.82 -inf yes 100.00%
ga 3195.11 -inf no 10.00%
hbp -3807.82 -3833.87 yes 100.00%
ipfps 3195.11 -inf no 10.00%
ipfpu 3195.11 -inf no 10.00%
lsm inf -inf no
mp -3807.82 -3807.82 yes 100.00%
mp-fw -3807.82 -3817.36 yes 100.00%
mpm 1231.84 -inf no 53.33%
mp-mcf -3807.82 -3815.75 yes 100.00%
pm 3303.46 -inf no 16.67%
rrwm 2880.69 -inf no 13.33%
sm 3642.9 -inf no 6.67%
smac 3338.92 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3807.82 -3808.2 yes 100.00%
dd-ls3 -3807.82 -3808.29 yes 100.00%
dd-ls4 -3807.82 -3807.82 yes 100.00%
fgmd inf -inf no
fm-bca -3807.82 -3807.82 yes 100.00%
fm -3807.82 -4097.31 yes 100.00%
fw -3807.82 -inf yes 100.00%
ga 3195.11 -inf no 10.00%
hbp -3807.82 -3833.87 yes 100.00%
ipfps 3195.11 -inf no 10.00%
ipfpu 3195.11 -inf no 10.00%
lsm 4324.54 -inf no 13.33%
mp -3807.82 -3807.82 yes 100.00%
mp-fw -3807.82 -3807.82 yes 100.00%
mpm 1231.84 -inf no 53.33%
mp-mcf -3807.82 -3807.82 yes 100.00%
pm 3303.46 -inf no 16.67%
rrwm 2880.69 -inf no 13.33%
sm 3642.9 -inf no 6.67%
smac 3338.92 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3807.82 -3808.2 yes 100.00%
dd-ls3 -3807.82 -3808.29 yes 100.00%
dd-ls4 -3807.82 -3807.82 yes 100.00%
fgmd -3807.82 -inf yes 100.00%
fm-bca -3807.82 -3807.82 yes 100.00%
fm -3807.82 -4097.31 yes 100.00%
fw -3807.82 -inf yes 100.00%
ga 3195.11 -inf no 10.00%
hbp -3807.82 -3833.87 yes 100.00%
ipfps 3195.11 -inf no 10.00%
ipfpu 3195.11 -inf no 10.00%
lsm 4324.54 -inf no 13.33%
mp -3807.82 -3807.82 yes 100.00%
mp-fw -3807.82 -3807.82 yes 100.00%
mpm 1231.84 -inf no 53.33%
mp-mcf -3807.82 -3807.82 yes 100.00%
pm 3303.46 -inf no 16.67%
rrwm 2880.69 -inf no 13.33%
sm 3642.9 -inf no 6.67%
smac 3338.92 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3807.82 -3808.2 yes 100.00%
dd-ls3 -3807.82 -3808.29 yes 100.00%
dd-ls4 -3807.82 -3807.82 yes 100.00%
fgmd -3807.82 -inf yes 100.00%
fm-bca -3807.82 -3807.82 yes 100.00%
fm -3807.82 -4097.31 yes 100.00%
fw -3807.82 -inf yes 100.00%
ga 3195.11 -inf no 10.00%
hbp -3807.82 -3833.87 yes 100.00%
ipfps 3195.11 -inf no 10.00%
ipfpu 3195.11 -inf no 10.00%
lsm 4324.54 -inf no 13.33%
mp -3807.82 -3807.82 yes 100.00%
mp-fw -3807.82 -3807.82 yes 100.00%
mpm 1231.84 -inf no 53.33%
mp-mcf -3807.82 -3807.82 yes 100.00%
pm 3303.46 -inf no 16.67%
rrwm 2880.69 -inf no 13.33%
sm 3642.9 -inf no 6.67%
smac 3338.92 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: