A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense59”

This page shows the benchmarks results for the dataset instance “house-dense59”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3728.46.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3728.46 -3729.48 yes 100.00%
dd-ls3 -3728.46 -3729 yes 100.00%
dd-ls4 -3728.46 -3744.52 yes 100.00%
fgmd inf -inf no
fm-bca -3728.46 -3728.46 yes 100.00%
fm -3728.46 -4064.61 yes 100.00%
fw -3728.46 -inf yes 100.00%
ga 3056.08 -inf no 13.33%
hbp -3728.46 -3758.16 yes 100.00%
ipfps 3856.65 -inf no 13.33%
ipfpu 3856.65 -inf no 13.33%
lsm inf -inf no
mp -3728.46 -3739.63 yes 100.00%
mp-fw -3728.46 -3810.57 yes 100.00%
mpm 1832.29 -inf no 36.67%
mp-mcf -2874.67 -3808.43 no 76.67%
pm 3324.41 -inf no 20.00%
rrwm 2929.01 -inf no 16.67%
sm 3512.59 -inf no 10.00%
smac 2839.34 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3728.46 -3729.48 yes 100.00%
dd-ls3 -3728.46 -3729 yes 100.00%
dd-ls4 -3728.46 -3729.29 yes 100.00%
fgmd inf -inf no
fm-bca -3728.46 -3728.46 yes 100.00%
fm -3728.46 -4064.61 yes 100.00%
fw -3728.46 -inf yes 100.00%
ga 3056.08 -inf no 13.33%
hbp -3728.46 -3758.16 yes 100.00%
ipfps 3856.65 -inf no 13.33%
ipfpu 3856.65 -inf no 13.33%
lsm 1949.64 -inf no 20.00%
mp -3728.46 -3738.09 yes 100.00%
mp-fw -3728.46 -3771.73 yes 100.00%
mpm 1832.29 -inf no 36.67%
mp-mcf -3251.61 -3757.16 no 73.33%
pm 3324.41 -inf no 20.00%
rrwm 2929.01 -inf no 16.67%
sm 3512.59 -inf no 10.00%
smac 2839.34 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3728.46 -3729.48 yes 100.00%
dd-ls3 -3728.46 -3729 yes 100.00%
dd-ls4 -3728.46 -3729.29 yes 100.00%
fgmd -2397.99 -inf no 30.00%
fm-bca -3728.46 -3728.46 yes 100.00%
fm -3728.46 -4064.61 yes 100.00%
fw -3728.46 -inf yes 100.00%
ga 3056.08 -inf no 13.33%
hbp -3728.46 -3758.16 yes 100.00%
ipfps 3856.65 -inf no 13.33%
ipfpu 3856.65 -inf no 13.33%
lsm 1949.64 -inf no 20.00%
mp -3728.46 -3738.09 yes 100.00%
mp-fw -3728.46 -3728.46 yes 100.00%
mpm 1832.29 -inf no 36.67%
mp-mcf -3728.46 -3728.46 yes 100.00%
pm 3324.41 -inf no 20.00%
rrwm 2929.01 -inf no 16.67%
sm 3512.59 -inf no 10.00%
smac 2839.34 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3728.46 -3729.48 yes 100.00%
dd-ls3 -3728.46 -3729 yes 100.00%
dd-ls4 -3728.46 -3729.29 yes 100.00%
fgmd -2397.99 -inf no 30.00%
fm-bca -3728.46 -3728.46 yes 100.00%
fm -3728.46 -4064.61 yes 100.00%
fw -3728.46 -inf yes 100.00%
ga 3056.08 -inf no 13.33%
hbp -3728.46 -3758.16 yes 100.00%
ipfps 3856.65 -inf no 13.33%
ipfpu 3856.65 -inf no 13.33%
lsm 1949.64 -inf no 20.00%
mp -3728.46 -3738.09 yes 100.00%
mp-fw -3728.46 -3728.46 yes 100.00%
mpm 1832.29 -inf no 36.67%
mp-mcf -3728.46 -3728.46 yes 100.00%
pm 3324.41 -inf no 20.00%
rrwm 2929.01 -inf no 16.67%
sm 3512.59 -inf no 10.00%
smac 2839.34 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: