A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense64”

This page shows the benchmarks results for the dataset instance “house-dense64”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3736.47.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3736.47 -3737.48 yes 100.00%
dd-ls3 -3736.47 -3736.78 yes 100.00%
dd-ls4 -3736.47 -3764.37 yes 100.00%
fgmd inf -inf no
fm-bca -3736.47 -3737.84 yes 100.00%
fm -3736.47 -4067.65 yes 100.00%
fw -3736.47 -inf yes 100.00%
ga 3524.99 -inf no 10.00%
hbp -3736.47 -3770.55 yes 100.00%
ipfps 3951.7 -inf no 10.00%
ipfpu 3951.7 -inf no 10.00%
lsm inf -inf no
mp -3736.47 -3736.47 yes 100.00%
mp-fw -3736.47 -3759.9 yes 100.00%
mpm 129.981 -inf no 60.00%
mp-mcf -3736.47 -3755.88 yes 100.00%
pm 3248.28 -inf no 20.00%
rrwm 3162.37 -inf no 13.33%
sm 3420.48 -inf no 13.33%
smac 3632.48 -inf no 30.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3736.47 -3737.48 yes 100.00%
dd-ls3 -3736.47 -3736.78 yes 100.00%
dd-ls4 -3736.47 -3736.66 yes 100.00%
fgmd inf -inf no
fm-bca -3736.47 -3736.47 yes 100.00%
fm -3736.47 -4067.65 yes 100.00%
fw -3736.47 -inf yes 100.00%
ga 3524.99 -inf no 10.00%
hbp -3736.47 -3770.55 yes 100.00%
ipfps 3951.7 -inf no 10.00%
ipfpu 3951.7 -inf no 10.00%
lsm 2202.38 -inf no 16.67%
mp -3736.47 -3736.47 yes 100.00%
mp-fw -3736.47 -3736.47 yes 100.00%
mpm 129.981 -inf no 60.00%
mp-mcf -3736.47 -3736.47 yes 100.00%
pm 3248.28 -inf no 20.00%
rrwm 3162.37 -inf no 13.33%
sm 3420.48 -inf no 13.33%
smac 3632.48 -inf no 30.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3736.47 -3737.48 yes 100.00%
dd-ls3 -3736.47 -3736.78 yes 100.00%
dd-ls4 -3736.47 -3736.66 yes 100.00%
fgmd -2765.17 -inf no 56.67%
fm-bca -3736.47 -3736.47 yes 100.00%
fm -3736.47 -4067.65 yes 100.00%
fw -3736.47 -inf yes 100.00%
ga 3524.99 -inf no 10.00%
hbp -3736.47 -3770.55 yes 100.00%
ipfps 3951.7 -inf no 10.00%
ipfpu 3951.7 -inf no 10.00%
lsm 2202.38 -inf no 16.67%
mp -3736.47 -3736.47 yes 100.00%
mp-fw -3736.47 -3736.47 yes 100.00%
mpm 129.981 -inf no 60.00%
mp-mcf -3736.47 -3736.47 yes 100.00%
pm 3248.28 -inf no 20.00%
rrwm 3162.37 -inf no 13.33%
sm 3420.48 -inf no 13.33%
smac 3632.48 -inf no 30.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3736.47 -3737.48 yes 100.00%
dd-ls3 -3736.47 -3736.78 yes 100.00%
dd-ls4 -3736.47 -3736.66 yes 100.00%
fgmd -2765.17 -inf no 56.67%
fm-bca -3736.47 -3736.47 yes 100.00%
fm -3736.47 -4067.65 yes 100.00%
fw -3736.47 -inf yes 100.00%
ga 3524.99 -inf no 10.00%
hbp -3736.47 -3770.55 yes 100.00%
ipfps 3951.7 -inf no 10.00%
ipfpu 3951.7 -inf no 10.00%
lsm 2202.38 -inf no 16.67%
mp -3736.47 -3736.47 yes 100.00%
mp-fw -3736.47 -3736.47 yes 100.00%
mpm 129.981 -inf no 60.00%
mp-mcf -3736.47 -3736.47 yes 100.00%
pm 3248.28 -inf no 20.00%
rrwm 3162.37 -inf no 13.33%
sm 3420.48 -inf no 13.33%
smac 3632.48 -inf no 30.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: