A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense94”

This page shows the benchmarks results for the dataset instance “house-dense94”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3774.51.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3774.51 -3776.87 yes 100.00%
dd-ls3 -3774.51 -3774.55 yes 100.00%
dd-ls4 -3774.51 -3774.84 yes 100.00%
fgmd inf -inf no
fm-bca -3774.51 -3775.84 yes 100.00%
fm -3774.51 -4063.37 yes 100.00%
fw -3774.51 -inf yes 100.00%
ga 3372.44 -inf no 6.67%
hbp -3774.51 -3804.75 yes 100.00%
ipfps 3498.24 -inf no 6.67%
ipfpu 3498.24 -inf no 6.67%
lsm inf -inf no
mp -3774.51 -3776.09 yes 100.00%
mp-fw -3774.51 -3858.38 yes 100.00%
mpm 501.263 -inf no 50.00%
mp-mcf -3597.32 -3833.27 no 93.33%
pm 3307.95 -inf no 23.33%
rrwm 3372.44 -inf no 6.67%
sm 3778.28 -inf no 10.00%
smac 3237.2 -inf no 26.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3774.51 -3776.87 yes 100.00%
dd-ls3 -3774.51 -3774.55 yes 100.00%
dd-ls4 -3774.51 -3774.57 yes 100.00%
fgmd inf -inf no
fm-bca -3774.51 -3774.51 yes 100.00%
fm -3774.51 -4063.37 yes 100.00%
fw -3774.51 -inf yes 100.00%
ga 3372.44 -inf no 6.67%
hbp -3774.51 -3804.75 yes 100.00%
ipfps 3498.24 -inf no 6.67%
ipfpu 3498.24 -inf no 6.67%
lsm 3404.45 -inf no 20.00%
mp -3774.51 -3774.51 yes 100.00%
mp-fw -3774.51 -3777.76 yes 100.00%
mpm 501.263 -inf no 50.00%
mp-mcf -3774.51 -3774.51 yes 100.00%
pm 3307.95 -inf no 23.33%
rrwm 3372.44 -inf no 6.67%
sm 3778.28 -inf no 10.00%
smac 3237.2 -inf no 26.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3774.51 -3776.87 yes 100.00%
dd-ls3 -3774.51 -3774.55 yes 100.00%
dd-ls4 -3774.51 -3774.57 yes 100.00%
fgmd -3774.51 -inf yes 100.00%
fm-bca -3774.51 -3774.51 yes 100.00%
fm -3774.51 -4063.37 yes 100.00%
fw -3774.51 -inf yes 100.00%
ga 3372.44 -inf no 6.67%
hbp -3774.51 -3804.75 yes 100.00%
ipfps 3498.24 -inf no 6.67%
ipfpu 3498.24 -inf no 6.67%
lsm 3404.45 -inf no 20.00%
mp -3774.51 -3774.51 yes 100.00%
mp-fw -3774.51 -3774.51 yes 100.00%
mpm 501.263 -inf no 50.00%
mp-mcf -3774.51 -3774.51 yes 100.00%
pm 3307.95 -inf no 23.33%
rrwm 3372.44 -inf no 6.67%
sm 3778.28 -inf no 10.00%
smac 3237.2 -inf no 26.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3774.51 -3776.87 yes 100.00%
dd-ls3 -3774.51 -3774.55 yes 100.00%
dd-ls4 -3774.51 -3774.57 yes 100.00%
fgmd -3774.51 -inf yes 100.00%
fm-bca -3774.51 -3774.51 yes 100.00%
fm -3774.51 -4063.37 yes 100.00%
fw -3774.51 -inf yes 100.00%
ga 3372.44 -inf no 6.67%
hbp -3774.51 -3804.75 yes 100.00%
ipfps 3498.24 -inf no 6.67%
ipfpu 3498.24 -inf no 6.67%
lsm 3404.45 -inf no 20.00%
mp -3774.51 -3774.51 yes 100.00%
mp-fw -3774.51 -3774.51 yes 100.00%
mpm 501.263 -inf no 50.00%
mp-mcf -3774.51 -3774.51 yes 100.00%
pm 3307.95 -inf no 23.33%
rrwm 3372.44 -inf no 6.67%
sm 3778.28 -inf no 10.00%
smac 3237.2 -inf no 26.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: