A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense43”

This page shows the benchmarks results for the dataset instance “house-dense43”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3787.12.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3787.12 -3787.44 yes 100.00%
dd-ls3 -3787.12 -3787.22 yes 100.00%
dd-ls4 -3787.12 -3807.39 yes 100.00%
fgmd inf -inf no
fm-bca -3787.12 -3797.4 yes 100.00%
fm -3787.12 -4105.06 yes 100.00%
fw -3787.12 -inf yes 100.00%
ga 3183.5 -inf no 6.67%
hbp -3787.12 -3820.84 yes 100.00%
ipfps 3752.53 -inf no 10.00%
ipfpu 3752.53 -inf no 10.00%
lsm inf -inf no
mp -3787.12 -3799.2 yes 100.00%
mp-fw -3787.12 -3894.34 yes 100.00%
mpm 1830.43 -inf no 56.67%
mp-mcf -3580.95 -3870.87 no 90.00%
pm 3077.38 -inf no 26.67%
rrwm 2208.47 -inf no 10.00%
sm 3942.23 -inf no 6.67%
smac 1206.07 -inf no 40.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3787.12 -3787.44 yes 100.00%
dd-ls3 -3787.12 -3787.22 yes 100.00%
dd-ls4 -3787.12 -3787.34 yes 100.00%
fgmd inf -inf no
fm-bca -3787.12 -3787.12 yes 100.00%
fm -3787.12 -4105.06 yes 100.00%
fw -3787.12 -inf yes 100.00%
ga 3183.5 -inf no 6.67%
hbp -3787.12 -3820.84 yes 100.00%
ipfps 3752.53 -inf no 10.00%
ipfpu 3752.53 -inf no 10.00%
lsm 2739.29 -inf no 16.67%
mp -3787.12 -3787.12 yes 100.00%
mp-fw -3787.12 -3841.12 yes 100.00%
mpm 1830.43 -inf no 56.67%
mp-mcf -3787.12 -3787.12 yes 100.00%
pm 3077.38 -inf no 26.67%
rrwm 2208.47 -inf no 10.00%
sm 3942.23 -inf no 6.67%
smac 1206.07 -inf no 40.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3787.12 -3787.44 yes 100.00%
dd-ls3 -3787.12 -3787.22 yes 100.00%
dd-ls4 -3787.12 -3787.34 yes 100.00%
fgmd -3787.12 -inf yes 100.00%
fm-bca -3787.12 -3787.12 yes 100.00%
fm -3787.12 -4105.06 yes 100.00%
fw -3787.12 -inf yes 100.00%
ga 3183.5 -inf no 6.67%
hbp -3787.12 -3820.84 yes 100.00%
ipfps 3752.53 -inf no 10.00%
ipfpu 3752.53 -inf no 10.00%
lsm 2739.29 -inf no 16.67%
mp -3787.12 -3787.12 yes 100.00%
mp-fw -3787.12 -3787.12 yes 100.00%
mpm 1830.43 -inf no 56.67%
mp-mcf -3787.12 -3787.12 yes 100.00%
pm 3077.38 -inf no 26.67%
rrwm 2208.47 -inf no 10.00%
sm 3942.23 -inf no 6.67%
smac 1206.07 -inf no 40.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3787.12 -3787.44 yes 100.00%
dd-ls3 -3787.12 -3787.22 yes 100.00%
dd-ls4 -3787.12 -3787.34 yes 100.00%
fgmd -3787.12 -inf yes 100.00%
fm-bca -3787.12 -3787.12 yes 100.00%
fm -3787.12 -4105.06 yes 100.00%
fw -3787.12 -inf yes 100.00%
ga 3183.5 -inf no 6.67%
hbp -3787.12 -3820.84 yes 100.00%
ipfps 3752.53 -inf no 10.00%
ipfpu 3752.53 -inf no 10.00%
lsm 2739.29 -inf no 16.67%
mp -3787.12 -3787.12 yes 100.00%
mp-fw -3787.12 -3787.12 yes 100.00%
mpm 1830.43 -inf no 56.67%
mp-mcf -3787.12 -3787.12 yes 100.00%
pm 3077.38 -inf no 26.67%
rrwm 2208.47 -inf no 10.00%
sm 3942.23 -inf no 6.67%
smac 1206.07 -inf no 40.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: