A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense85”

This page shows the benchmarks results for the dataset instance “house-dense85”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3784.87.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3784.87 -3786.29 yes 100.00%
dd-ls3 -3784.87 -3786.32 yes 100.00%
dd-ls4 -3784.87 -3791.17 yes 100.00%
fgmd inf -inf no
fm-bca -3784.87 -3786.5 yes 100.00%
fm -3784.87 -4058.72 yes 100.00%
fw -3784.87 -inf yes 100.00%
ga 3742.04 -inf no 6.67%
hbp -3784.87 -3816.14 yes 100.00%
ipfps 3730.11 -inf no 10.00%
ipfpu 3730.11 -inf no 10.00%
lsm inf -inf no
mp -3784.87 -3785 yes 100.00%
mp-fw -3784.87 -3842.2 yes 100.00%
mpm -5.55735 -inf no 60.00%
mp-mcf -3784.87 -3840.05 yes 100.00%
pm 2847.18 -inf no 16.67%
rrwm 2938.19 -inf no 13.33%
sm 3514.58 -inf no 3.33%
smac 2016.95 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3784.87 -3786.29 yes 100.00%
dd-ls3 -3784.87 -3786.32 yes 100.00%
dd-ls4 -3784.87 -3784.92 yes 100.00%
fgmd inf -inf no
fm-bca -3784.87 -3784.87 yes 100.00%
fm -3784.87 -4058.72 yes 100.00%
fw -3784.87 -inf yes 100.00%
ga 3742.04 -inf no 6.67%
hbp -3784.87 -3816.14 yes 100.00%
ipfps 3730.11 -inf no 10.00%
ipfpu 3730.11 -inf no 10.00%
lsm 2408.01 -inf no 13.33%
mp -3784.87 -3784.87 yes 100.00%
mp-fw -3784.87 -3799.98 yes 100.00%
mpm -5.55735 -inf no 60.00%
mp-mcf -3784.87 -3795.34 yes 100.00%
pm 2847.18 -inf no 16.67%
rrwm 2938.19 -inf no 13.33%
sm 3514.58 -inf no 3.33%
smac 2016.95 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3784.87 -3786.29 yes 100.00%
dd-ls3 -3784.87 -3786.32 yes 100.00%
dd-ls4 -3784.87 -3784.92 yes 100.00%
fgmd -2785.17 -inf no 56.67%
fm-bca -3784.87 -3784.87 yes 100.00%
fm -3784.87 -4058.72 yes 100.00%
fw -3784.87 -inf yes 100.00%
ga 3742.04 -inf no 6.67%
hbp -3784.87 -3816.14 yes 100.00%
ipfps 3730.11 -inf no 10.00%
ipfpu 3730.11 -inf no 10.00%
lsm 2408.01 -inf no 13.33%
mp -3784.87 -3784.87 yes 100.00%
mp-fw -3784.87 -3784.87 yes 100.00%
mpm -5.55735 -inf no 60.00%
mp-mcf -3784.87 -3784.87 yes 100.00%
pm 2847.18 -inf no 16.67%
rrwm 2938.19 -inf no 13.33%
sm 3514.58 -inf no 3.33%
smac 2016.95 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3784.87 -3786.29 yes 100.00%
dd-ls3 -3784.87 -3786.32 yes 100.00%
dd-ls4 -3784.87 -3784.92 yes 100.00%
fgmd -2785.17 -inf no 56.67%
fm-bca -3784.87 -3784.87 yes 100.00%
fm -3784.87 -4058.72 yes 100.00%
fw -3784.87 -inf yes 100.00%
ga 3742.04 -inf no 6.67%
hbp -3784.87 -3816.14 yes 100.00%
ipfps 3730.11 -inf no 10.00%
ipfpu 3730.11 -inf no 10.00%
lsm 2408.01 -inf no 13.33%
mp -3784.87 -3784.87 yes 100.00%
mp-fw -3784.87 -3784.87 yes 100.00%
mpm -5.55735 -inf no 60.00%
mp-mcf -3784.87 -3784.87 yes 100.00%
pm 2847.18 -inf no 16.67%
rrwm 2938.19 -inf no 13.33%
sm 3514.58 -inf no 3.33%
smac 2016.95 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: