A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense30”

This page shows the benchmarks results for the dataset instance “house-dense30”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3773.62.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3773.62 -3774.29 yes 100.00%
dd-ls3 -3773.62 -3774.04 yes 100.00%
dd-ls4 -3773.62 -3784.94 yes 100.00%
fgmd inf -inf no
fm-bca -3773.62 -3773.62 yes 100.00%
fm -3773.62 -4094.94 yes 100.00%
fw -3773.62 -inf yes 100.00%
ga 3469.54 -inf no 10.00%
hbp -3773.62 -3803.78 yes 100.00%
ipfps 3741.75 -inf no 10.00%
ipfpu 3741.75 -inf no 10.00%
lsm inf -inf no
mp -3773.62 -3773.62 yes 100.00%
mp-fw -3773.62 -3801.08 yes 100.00%
mpm 737.006 -inf no 60.00%
mp-mcf -3773.62 -3784.14 yes 100.00%
pm 3272.09 -inf no 16.67%
rrwm 3034.53 -inf no 10.00%
sm 3958.72 -inf no 10.00%
smac 3020.93 -inf no 30.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3773.62 -3774.29 yes 100.00%
dd-ls3 -3773.62 -3774.04 yes 100.00%
dd-ls4 -3773.62 -3774.87 yes 100.00%
fgmd inf -inf no
fm-bca -3773.62 -3773.62 yes 100.00%
fm -3773.62 -4094.94 yes 100.00%
fw -3773.62 -inf yes 100.00%
ga 3469.54 -inf no 10.00%
hbp -3773.62 -3803.78 yes 100.00%
ipfps 3741.75 -inf no 10.00%
ipfpu 3741.75 -inf no 10.00%
lsm 4346.55 -inf no 13.33%
mp -3773.62 -3773.62 yes 100.00%
mp-fw -3773.62 -3773.62 yes 100.00%
mpm 737.006 -inf no 60.00%
mp-mcf -3773.62 -3773.62 yes 100.00%
pm 3272.09 -inf no 16.67%
rrwm 3034.53 -inf no 10.00%
sm 3958.72 -inf no 10.00%
smac 3020.93 -inf no 30.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3773.62 -3774.29 yes 100.00%
dd-ls3 -3773.62 -3774.04 yes 100.00%
dd-ls4 -3773.62 -3774.87 yes 100.00%
fgmd -3773.62 -inf yes 100.00%
fm-bca -3773.62 -3773.62 yes 100.00%
fm -3773.62 -4094.94 yes 100.00%
fw -3773.62 -inf yes 100.00%
ga 3469.54 -inf no 10.00%
hbp -3773.62 -3803.78 yes 100.00%
ipfps 3741.75 -inf no 10.00%
ipfpu 3741.75 -inf no 10.00%
lsm 4346.55 -inf no 13.33%
mp -3773.62 -3773.62 yes 100.00%
mp-fw -3773.62 -3773.62 yes 100.00%
mpm 737.006 -inf no 60.00%
mp-mcf -3773.62 -3773.62 yes 100.00%
pm 3272.09 -inf no 16.67%
rrwm 3034.53 -inf no 10.00%
sm 3958.72 -inf no 10.00%
smac 3020.93 -inf no 30.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3773.62 -3774.29 yes 100.00%
dd-ls3 -3773.62 -3774.04 yes 100.00%
dd-ls4 -3773.62 -3774.87 yes 100.00%
fgmd -3773.62 -inf yes 100.00%
fm-bca -3773.62 -3773.62 yes 100.00%
fm -3773.62 -4094.94 yes 100.00%
fw -3773.62 -inf yes 100.00%
ga 3469.54 -inf no 10.00%
hbp -3773.62 -3803.78 yes 100.00%
ipfps 3741.75 -inf no 10.00%
ipfpu 3741.75 -inf no 10.00%
lsm 4346.55 -inf no 13.33%
mp -3773.62 -3773.62 yes 100.00%
mp-fw -3773.62 -3773.62 yes 100.00%
mpm 737.006 -inf no 60.00%
mp-mcf -3773.62 -3773.62 yes 100.00%
pm 3272.09 -inf no 16.67%
rrwm 3034.53 -inf no 10.00%
sm 3958.72 -inf no 10.00%
smac 3020.93 -inf no 30.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: