A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense5”

This page shows the benchmarks results for the dataset instance “house-dense5”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3710.78.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3710.78 -3712.26 yes 100.00%
dd-ls3 -3710.78 -3710.88 yes 100.00%
dd-ls4 -3601.8 -3730.77 no 93.33%
fgmd inf -inf no
fm-bca -3710.78 -3710.78 yes 100.00%
fm -3710.78 -4071.22 yes 100.00%
fw -3710.78 -inf yes 100.00%
ga 3514.37 -inf no 6.67%
hbp -3710.78 -3735.87 yes 100.00%
ipfps 3514.37 -inf no 6.67%
ipfpu 3514.37 -inf no 6.67%
lsm inf -inf no
mp -3710.78 -3736.04 yes 100.00%
mp-fw -3710.78 -3815.65 yes 100.00%
mpm 2931.57 -inf no 40.00%
mp-mcf -3430.91 -3789.09 no 86.67%
pm 3411.47 -inf no 13.33%
rrwm 2893.19 -inf no 6.67%
sm 4312.6 -inf no 6.67%
smac 3561.41 -inf no 23.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3710.78 -3712.26 yes 100.00%
dd-ls3 -3710.78 -3710.88 yes 100.00%
dd-ls4 -3710.78 -3710.84 yes 100.00%
fgmd inf -inf no
fm-bca -3710.78 -3710.78 yes 100.00%
fm -3710.78 -4071.22 yes 100.00%
fw -3710.78 -inf yes 100.00%
ga 3514.37 -inf no 6.67%
hbp -3710.78 -3735.87 yes 100.00%
ipfps 3514.37 -inf no 6.67%
ipfpu 3514.37 -inf no 6.67%
lsm 147.081 -inf no 26.67%
mp -3710.78 -3735.41 yes 100.00%
mp-fw -3710.78 -3751.49 yes 100.00%
mpm 2931.57 -inf no 40.00%
mp-mcf -3710.78 -3728.99 yes 100.00%
pm 3411.47 -inf no 13.33%
rrwm 2893.19 -inf no 6.67%
sm 4312.6 -inf no 6.67%
smac 3561.41 -inf no 23.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3710.78 -3712.26 yes 100.00%
dd-ls3 -3710.78 -3710.88 yes 100.00%
dd-ls4 -3710.78 -3710.84 yes 100.00%
fgmd -2917.05 -inf no 66.67%
fm-bca -3710.78 -3710.78 yes 100.00%
fm -3710.78 -4071.22 yes 100.00%
fw -3710.78 -inf yes 100.00%
ga 3514.37 -inf no 6.67%
hbp -3710.78 -3735.87 yes 100.00%
ipfps 3514.37 -inf no 6.67%
ipfpu 3514.37 -inf no 6.67%
lsm 147.081 -inf no 26.67%
mp -3710.78 -3735.41 yes 100.00%
mp-fw -3710.78 -3710.78 yes 100.00%
mpm 2931.57 -inf no 40.00%
mp-mcf -3710.78 -3710.78 yes 100.00%
pm 3411.47 -inf no 13.33%
rrwm 2893.19 -inf no 6.67%
sm 4312.6 -inf no 6.67%
smac 3561.41 -inf no 23.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3710.78 -3712.26 yes 100.00%
dd-ls3 -3710.78 -3710.88 yes 100.00%
dd-ls4 -3710.78 -3710.84 yes 100.00%
fgmd -2917.05 -inf no 66.67%
fm-bca -3710.78 -3710.78 yes 100.00%
fm -3710.78 -4071.22 yes 100.00%
fw -3710.78 -inf yes 100.00%
ga 3514.37 -inf no 6.67%
hbp -3710.78 -3735.87 yes 100.00%
ipfps 3514.37 -inf no 6.67%
ipfpu 3514.37 -inf no 6.67%
lsm 147.081 -inf no 26.67%
mp -3710.78 -3735.41 yes 100.00%
mp-fw -3710.78 -3710.78 yes 100.00%
mpm 2931.57 -inf no 40.00%
mp-mcf -3710.78 -3710.78 yes 100.00%
pm 3411.47 -inf no 13.33%
rrwm 2893.19 -inf no 6.67%
sm 4312.6 -inf no 6.67%
smac 3561.41 -inf no 23.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: