A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense37”

This page shows the benchmarks results for the dataset instance “house-dense37”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3764.47.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3764.47 -3766.22 yes 100.00%
dd-ls3 -3764.47 -3764.64 yes 100.00%
dd-ls4 -3764.47 -3790.26 yes 100.00%
fgmd inf -inf no
fm-bca -3764.47 -3766.1 yes 100.00%
fm -3764.47 -4100.6 yes 100.00%
fw -3764.47 -inf yes 100.00%
ga 3557.48 -inf no 13.33%
hbp -3764.47 -3792.4 yes 100.00%
ipfps 3820.34 -inf no 13.33%
ipfpu 3820.34 -inf no 13.33%
lsm inf -inf no
mp -3764.47 -3769.98 yes 100.00%
mp-fw -3764.47 -3832.35 yes 100.00%
mpm 2069.36 -inf no 50.00%
mp-mcf -3764.47 -3827.34 yes 100.00%
pm 3142.21 -inf no 16.67%
rrwm 3380.65 -inf no 13.33%
sm 3978.02 -inf no 13.33%
smac 3276.48 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3764.47 -3766.22 yes 100.00%
dd-ls3 -3764.47 -3764.64 yes 100.00%
dd-ls4 -3764.47 -3764.54 yes 100.00%
fgmd inf -inf no
fm-bca -3764.47 -3764.47 yes 100.00%
fm -3764.47 -4100.6 yes 100.00%
fw -3764.47 -inf yes 100.00%
ga 3557.48 -inf no 13.33%
hbp -3764.47 -3792.4 yes 100.00%
ipfps 3820.34 -inf no 13.33%
ipfpu 3820.34 -inf no 13.33%
lsm 2031.74 -inf no 20.00%
mp -3764.47 -3769.88 yes 100.00%
mp-fw -3764.47 -3764.47 yes 100.00%
mpm 2069.36 -inf no 50.00%
mp-mcf -3764.47 -3764.47 yes 100.00%
pm 3142.21 -inf no 16.67%
rrwm 3380.65 -inf no 13.33%
sm 3978.02 -inf no 13.33%
smac 3276.48 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3764.47 -3766.22 yes 100.00%
dd-ls3 -3764.47 -3764.64 yes 100.00%
dd-ls4 -3764.47 -3764.54 yes 100.00%
fgmd -3764.47 -inf yes 100.00%
fm-bca -3764.47 -3764.47 yes 100.00%
fm -3764.47 -4100.6 yes 100.00%
fw -3764.47 -inf yes 100.00%
ga 3557.48 -inf no 13.33%
hbp -3764.47 -3792.4 yes 100.00%
ipfps 3820.34 -inf no 13.33%
ipfpu 3820.34 -inf no 13.33%
lsm 2031.74 -inf no 20.00%
mp -3764.47 -3769.88 yes 100.00%
mp-fw -3764.47 -3764.47 yes 100.00%
mpm 2069.36 -inf no 50.00%
mp-mcf -3764.47 -3764.47 yes 100.00%
pm 3142.21 -inf no 16.67%
rrwm 3380.65 -inf no 13.33%
sm 3978.02 -inf no 13.33%
smac 3276.48 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3764.47 -3766.22 yes 100.00%
dd-ls3 -3764.47 -3764.64 yes 100.00%
dd-ls4 -3764.47 -3764.54 yes 100.00%
fgmd -3764.47 -inf yes 100.00%
fm-bca -3764.47 -3764.47 yes 100.00%
fm -3764.47 -4100.6 yes 100.00%
fw -3764.47 -inf yes 100.00%
ga 3557.48 -inf no 13.33%
hbp -3764.47 -3792.4 yes 100.00%
ipfps 3820.34 -inf no 13.33%
ipfpu 3820.34 -inf no 13.33%
lsm 2031.74 -inf no 20.00%
mp -3764.47 -3769.88 yes 100.00%
mp-fw -3764.47 -3764.47 yes 100.00%
mpm 2069.36 -inf no 50.00%
mp-mcf -3764.47 -3764.47 yes 100.00%
pm 3142.21 -inf no 16.67%
rrwm 3380.65 -inf no 13.33%
sm 3978.02 -inf no 13.33%
smac 3276.48 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: