A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense11”

This page shows the benchmarks results for the dataset instance “house-dense11”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3791.43.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3791.43 -3793.52 yes 100.00%
dd-ls3 -3791.43 -3791.44 yes 100.00%
dd-ls4 -3791.43 -3804.5 yes 100.00%
fgmd inf -inf no
fm-bca -3791.43 -3791.43 yes 100.00%
fm -3791.43 -4092.85 yes 100.00%
fw -3791.43 -inf yes 100.00%
ga 3261.37 -inf no 6.67%
hbp -3791.43 -3819.21 yes 100.00%
ipfps 3451.59 -inf no 6.67%
ipfpu 3451.59 -inf no 6.67%
lsm inf -inf no
mp -3791.43 -3791.43 yes 100.00%
mp-fw -3791.43 -3836.31 yes 100.00%
mpm 1873.39 -inf no 40.00%
mp-mcf -3059.96 -3818.31 no 76.67%
pm 3460.33 -inf no 20.00%
rrwm 2708.2 -inf no 13.33%
sm 3800.19 -inf no 6.67%
smac 3538.94 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3791.43 -3793.52 yes 100.00%
dd-ls3 -3791.43 -3791.44 yes 100.00%
dd-ls4 -3791.43 -3792.14 yes 100.00%
fgmd inf -inf no
fm-bca -3791.43 -3791.43 yes 100.00%
fm -3791.43 -4092.85 yes 100.00%
fw -3791.43 -inf yes 100.00%
ga 3261.37 -inf no 6.67%
hbp -3791.43 -3819.21 yes 100.00%
ipfps 3451.59 -inf no 6.67%
ipfpu 3451.59 -inf no 6.67%
lsm 2442.08 -inf no 20.00%
mp -3791.43 -3791.43 yes 100.00%
mp-fw -3791.43 -3791.43 yes 100.00%
mpm 1873.39 -inf no 40.00%
mp-mcf -3791.43 -3791.43 yes 100.00%
pm 3460.33 -inf no 20.00%
rrwm 2708.2 -inf no 13.33%
sm 3800.19 -inf no 6.67%
smac 3538.94 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3791.43 -3793.52 yes 100.00%
dd-ls3 -3791.43 -3791.44 yes 100.00%
dd-ls4 -3791.43 -3792.14 yes 100.00%
fgmd -3791.43 -inf yes 100.00%
fm-bca -3791.43 -3791.43 yes 100.00%
fm -3791.43 -4092.85 yes 100.00%
fw -3791.43 -inf yes 100.00%
ga 3261.37 -inf no 6.67%
hbp -3791.43 -3819.21 yes 100.00%
ipfps 3451.59 -inf no 6.67%
ipfpu 3451.59 -inf no 6.67%
lsm 2442.08 -inf no 20.00%
mp -3791.43 -3791.43 yes 100.00%
mp-fw -3791.43 -3791.43 yes 100.00%
mpm 1873.39 -inf no 40.00%
mp-mcf -3791.43 -3791.43 yes 100.00%
pm 3460.33 -inf no 20.00%
rrwm 2708.2 -inf no 13.33%
sm 3800.19 -inf no 6.67%
smac 3538.94 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3791.43 -3793.52 yes 100.00%
dd-ls3 -3791.43 -3791.44 yes 100.00%
dd-ls4 -3791.43 -3792.14 yes 100.00%
fgmd -3791.43 -inf yes 100.00%
fm-bca -3791.43 -3791.43 yes 100.00%
fm -3791.43 -4092.85 yes 100.00%
fw -3791.43 -inf yes 100.00%
ga 3261.37 -inf no 6.67%
hbp -3791.43 -3819.21 yes 100.00%
ipfps 3451.59 -inf no 6.67%
ipfpu 3451.59 -inf no 6.67%
lsm 2442.08 -inf no 20.00%
mp -3791.43 -3791.43 yes 100.00%
mp-fw -3791.43 -3791.43 yes 100.00%
mpm 1873.39 -inf no 40.00%
mp-mcf -3791.43 -3791.43 yes 100.00%
pm 3460.33 -inf no 20.00%
rrwm 2708.2 -inf no 13.33%
sm 3800.19 -inf no 6.67%
smac 3538.94 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: