A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense42”

This page shows the benchmarks results for the dataset instance “house-dense42”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3712.31.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3712.31 -3712.47 yes 100.00%
dd-ls3 -3712.31 -3712.43 yes 100.00%
dd-ls4 -3535.76 -3751.51 no 86.67%
fgmd inf -inf no
fm-bca -3712.31 -3712.83 yes 100.00%
fm -3712.31 -4071.31 yes 100.00%
fw -3712.31 -inf yes 100.00%
ga 3440.24 -inf no 10.00%
hbp -3712.31 -3745.23 yes 100.00%
ipfps 3440.24 -inf no 10.00%
ipfpu 3440.24 -inf no 10.00%
lsm inf -inf no
mp -3712.31 -3723.24 yes 100.00%
mp-fw -3712.31 -3811.64 yes 100.00%
mpm 1611.78 -inf no 46.67%
mp-mcf -3440.73 -3781.98 no 86.67%
pm 3119.86 -inf no 16.67%
rrwm 3237.77 -inf no 6.67%
sm 3882 -inf no 10.00%
smac 3801.09 -inf no 20.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3712.31 -3712.47 yes 100.00%
dd-ls3 -3712.31 -3712.43 yes 100.00%
dd-ls4 -3712.31 -3712.34 yes 100.00%
fgmd inf -inf no
fm-bca -3712.31 -3712.31 yes 100.00%
fm -3712.31 -4071.31 yes 100.00%
fw -3712.31 -inf yes 100.00%
ga 3440.24 -inf no 10.00%
hbp -3712.31 -3745.23 yes 100.00%
ipfps 3440.24 -inf no 10.00%
ipfpu 3440.24 -inf no 10.00%
lsm 2273.03 -inf no 13.33%
mp -3712.31 -3720.58 yes 100.00%
mp-fw -3712.31 -3751.84 yes 100.00%
mpm 1611.78 -inf no 46.67%
mp-mcf -3588.4 -3720.19 no 93.33%
pm 3119.86 -inf no 16.67%
rrwm 3237.77 -inf no 6.67%
sm 3882 -inf no 10.00%
smac 3801.09 -inf no 20.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3712.31 -3712.47 yes 100.00%
dd-ls3 -3712.31 -3712.43 yes 100.00%
dd-ls4 -3712.31 -3712.34 yes 100.00%
fgmd -3712.31 -inf yes 100.00%
fm-bca -3712.31 -3712.31 yes 100.00%
fm -3712.31 -4071.31 yes 100.00%
fw -3712.31 -inf yes 100.00%
ga 3440.24 -inf no 10.00%
hbp -3712.31 -3745.23 yes 100.00%
ipfps 3440.24 -inf no 10.00%
ipfpu 3440.24 -inf no 10.00%
lsm 2273.03 -inf no 13.33%
mp -3712.31 -3720.57 yes 100.00%
mp-fw -3712.31 -3712.31 yes 100.00%
mpm 1611.78 -inf no 46.67%
mp-mcf -3712.31 -3712.31 yes 100.00%
pm 3119.86 -inf no 16.67%
rrwm 3237.77 -inf no 6.67%
sm 3882 -inf no 10.00%
smac 3801.09 -inf no 20.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3712.31 -3712.47 yes 100.00%
dd-ls3 -3712.31 -3712.43 yes 100.00%
dd-ls4 -3712.31 -3712.34 yes 100.00%
fgmd -3712.31 -inf yes 100.00%
fm-bca -3712.31 -3712.31 yes 100.00%
fm -3712.31 -4071.31 yes 100.00%
fw -3712.31 -inf yes 100.00%
ga 3440.24 -inf no 10.00%
hbp -3712.31 -3745.23 yes 100.00%
ipfps 3440.24 -inf no 10.00%
ipfpu 3440.24 -inf no 10.00%
lsm 2273.03 -inf no 13.33%
mp -3712.31 -3720.57 yes 100.00%
mp-fw -3712.31 -3712.31 yes 100.00%
mpm 1611.78 -inf no 46.67%
mp-mcf -3712.31 -3712.31 yes 100.00%
pm 3119.86 -inf no 16.67%
rrwm 3237.77 -inf no 6.67%
sm 3882 -inf no 10.00%
smac 3801.09 -inf no 20.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: