A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense76”

This page shows the benchmarks results for the dataset instance “house-dense76”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3773.17.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3773.17 -3773.52 yes 100.00%
dd-ls3 -3773.17 -3773.2 yes 100.00%
dd-ls4 -3773.17 -3788.59 yes 100.00%
fgmd inf -inf no
fm-bca -3773.17 -3774.62 yes 100.00%
fm -3773.17 -4055.85 yes 100.00%
fw -3773.17 -inf yes 100.00%
ga 3682.18 -inf no 10.00%
hbp -3773.17 -3799.03 yes 100.00%
ipfps 3704.38 -inf no 10.00%
ipfpu 3704.38 -inf no 10.00%
lsm inf -inf no
mp -3773.17 -3776.12 yes 100.00%
mp-fw -3773.17 -3851.23 yes 100.00%
mpm 2444.07 -inf no 40.00%
mp-mcf -3507.71 -3804.76 no 86.67%
pm 3558.58 -inf no 20.00%
rrwm 2674.48 -inf no 10.00%
sm 3894.11 -inf no 10.00%
smac 3822.83 -inf no 30.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3773.17 -3773.52 yes 100.00%
dd-ls3 -3773.17 -3773.2 yes 100.00%
dd-ls4 -3773.17 -3773.33 yes 100.00%
fgmd inf -inf no
fm-bca -3773.17 -3773.17 yes 100.00%
fm -3773.17 -4055.85 yes 100.00%
fw -3773.17 -inf yes 100.00%
ga 3682.18 -inf no 10.00%
hbp -3773.17 -3799.03 yes 100.00%
ipfps 3704.38 -inf no 10.00%
ipfpu 3704.38 -inf no 10.00%
lsm 904.43 -inf no 16.67%
mp -3773.17 -3773.17 yes 100.00%
mp-fw -3773.17 -3776.21 yes 100.00%
mpm 2444.07 -inf no 40.00%
mp-mcf -3773.17 -3773.17 yes 100.00%
pm 3558.58 -inf no 20.00%
rrwm 2674.48 -inf no 10.00%
sm 3894.11 -inf no 10.00%
smac 3822.83 -inf no 30.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3773.17 -3773.52 yes 100.00%
dd-ls3 -3773.17 -3773.2 yes 100.00%
dd-ls4 -3773.17 -3773.33 yes 100.00%
fgmd -3773.17 -inf yes 100.00%
fm-bca -3773.17 -3773.17 yes 100.00%
fm -3773.17 -4055.85 yes 100.00%
fw -3773.17 -inf yes 100.00%
ga 3682.18 -inf no 10.00%
hbp -3773.17 -3799.03 yes 100.00%
ipfps 3704.38 -inf no 10.00%
ipfpu 3704.38 -inf no 10.00%
lsm 904.43 -inf no 16.67%
mp -3773.17 -3773.17 yes 100.00%
mp-fw -3773.17 -3773.17 yes 100.00%
mpm 2444.07 -inf no 40.00%
mp-mcf -3773.17 -3773.17 yes 100.00%
pm 3558.58 -inf no 20.00%
rrwm 2674.48 -inf no 10.00%
sm 3894.11 -inf no 10.00%
smac 3822.83 -inf no 30.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3773.17 -3773.52 yes 100.00%
dd-ls3 -3773.17 -3773.2 yes 100.00%
dd-ls4 -3773.17 -3773.33 yes 100.00%
fgmd -3773.17 -inf yes 100.00%
fm-bca -3773.17 -3773.17 yes 100.00%
fm -3773.17 -4055.85 yes 100.00%
fw -3773.17 -inf yes 100.00%
ga 3682.18 -inf no 10.00%
hbp -3773.17 -3799.03 yes 100.00%
ipfps 3704.38 -inf no 10.00%
ipfpu 3704.38 -inf no 10.00%
lsm 904.43 -inf no 16.67%
mp -3773.17 -3773.17 yes 100.00%
mp-fw -3773.17 -3773.17 yes 100.00%
mpm 2444.07 -inf no 40.00%
mp-mcf -3773.17 -3773.17 yes 100.00%
pm 3558.58 -inf no 20.00%
rrwm 2674.48 -inf no 10.00%
sm 3894.11 -inf no 10.00%
smac 3822.83 -inf no 30.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: