A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense83”

This page shows the benchmarks results for the dataset instance “house-dense83”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3769.12.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3769.12 -3769.87 yes 100.00%
dd-ls3 -3769.12 -3769.17 yes 100.00%
dd-ls4 -3769.12 -3775.6 yes 100.00%
fgmd inf -inf no
fm-bca -3769.12 -3769.12 yes 100.00%
fm -3769.12 -4059.62 yes 100.00%
fw -3769.12 -inf yes 100.00%
ga 3494.04 -inf no 3.33%
hbp -3769.12 -3798.54 yes 100.00%
ipfps 3494.04 -inf no 3.33%
ipfpu 3494.04 -inf no 3.33%
lsm inf -inf no
mp -3769.12 -3769.12 yes 100.00%
mp-fw -3769.12 -3840.46 yes 100.00%
mpm -633.998 -inf no 66.67%
mp-mcf -3495.26 -3837.25 no 86.67%
pm 3272.32 -inf no 20.00%
rrwm 3435.08 -inf no 3.33%
sm 3868.8 -inf no 3.33%
smac 3209.83 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3769.12 -3769.87 yes 100.00%
dd-ls3 -3769.12 -3769.17 yes 100.00%
dd-ls4 -3769.12 -3769.55 yes 100.00%
fgmd inf -inf no
fm-bca -3769.12 -3769.12 yes 100.00%
fm -3769.12 -4059.62 yes 100.00%
fw -3769.12 -inf yes 100.00%
ga 3494.04 -inf no 3.33%
hbp -3769.12 -3798.54 yes 100.00%
ipfps 3494.04 -inf no 3.33%
ipfpu 3494.04 -inf no 3.33%
lsm 3705.53 -inf no 13.33%
mp -3769.12 -3769.12 yes 100.00%
mp-fw -3769.12 -3816.69 yes 100.00%
mpm -633.998 -inf no 66.67%
mp-mcf -3769.12 -3778.95 yes 100.00%
pm 3272.32 -inf no 20.00%
rrwm 3435.08 -inf no 3.33%
sm 3868.8 -inf no 3.33%
smac 3209.83 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3769.12 -3769.87 yes 100.00%
dd-ls3 -3769.12 -3769.17 yes 100.00%
dd-ls4 -3769.12 -3769.55 yes 100.00%
fgmd -1838.34 -inf no 10.00%
fm-bca -3769.12 -3769.12 yes 100.00%
fm -3769.12 -4059.62 yes 100.00%
fw -3769.12 -inf yes 100.00%
ga 3494.04 -inf no 3.33%
hbp -3769.12 -3798.54 yes 100.00%
ipfps 3494.04 -inf no 3.33%
ipfpu 3494.04 -inf no 3.33%
lsm 3705.53 -inf no 13.33%
mp -3769.12 -3769.12 yes 100.00%
mp-fw -3769.12 -3769.12 yes 100.00%
mpm -633.998 -inf no 66.67%
mp-mcf -3769.12 -3769.12 yes 100.00%
pm 3272.32 -inf no 20.00%
rrwm 3435.08 -inf no 3.33%
sm 3868.8 -inf no 3.33%
smac 3209.83 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3769.12 -3769.87 yes 100.00%
dd-ls3 -3769.12 -3769.17 yes 100.00%
dd-ls4 -3769.12 -3769.55 yes 100.00%
fgmd -1838.34 -inf no 10.00%
fm-bca -3769.12 -3769.12 yes 100.00%
fm -3769.12 -4059.62 yes 100.00%
fw -3769.12 -inf yes 100.00%
ga 3494.04 -inf no 3.33%
hbp -3769.12 -3798.54 yes 100.00%
ipfps 3494.04 -inf no 3.33%
ipfpu 3494.04 -inf no 3.33%
lsm 3705.53 -inf no 13.33%
mp -3769.12 -3769.12 yes 100.00%
mp-fw -3769.12 -3769.12 yes 100.00%
mpm -633.998 -inf no 66.67%
mp-mcf -3769.12 -3769.12 yes 100.00%
pm 3272.32 -inf no 20.00%
rrwm 3435.08 -inf no 3.33%
sm 3868.8 -inf no 3.33%
smac 3209.83 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: