A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense3”

This page shows the benchmarks results for the dataset instance “house-dense3”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3758.22.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3758.22 -3758.46 yes 100.00%
dd-ls3 -3758.22 -3758.25 yes 100.00%
dd-ls4 -3758.22 -3781.09 yes 100.00%
fgmd inf -inf no
fm-bca -3758.22 -3758.22 yes 100.00%
fm -3758.22 -4070.15 yes 100.00%
fw -3758.22 -inf yes 100.00%
ga 3682.17 -inf no 6.67%
hbp -3758.22 -3781.95 yes 100.00%
ipfps 4245.48 -inf no 6.67%
ipfpu 4245.48 -inf no 6.67%
lsm inf -inf no
mp -3758.22 -3758.22 yes 100.00%
mp-fw -3758.22 -3820.22 yes 100.00%
mpm 730.873 -inf no 56.67%
mp-mcf -3477.35 -3815.72 no 86.67%
pm 3671.87 -inf no 13.33%
rrwm 2676.35 -inf no 13.33%
sm 4212.39 -inf no 6.67%
smac 3992.57 -inf no 23.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3758.22 -3758.46 yes 100.00%
dd-ls3 -3758.22 -3758.25 yes 100.00%
dd-ls4 -3758.22 -3758.28 yes 100.00%
fgmd inf -inf no
fm-bca -3758.22 -3758.22 yes 100.00%
fm -3758.22 -4070.15 yes 100.00%
fw -3758.22 -inf yes 100.00%
ga 3682.17 -inf no 6.67%
hbp -3758.22 -3781.95 yes 100.00%
ipfps 4245.48 -inf no 6.67%
ipfpu 4245.48 -inf no 6.67%
lsm 3132.4 -inf no 13.33%
mp -3758.22 -3758.22 yes 100.00%
mp-fw -3758.22 -3764.1 yes 100.00%
mpm 730.873 -inf no 56.67%
mp-mcf -3758.22 -3758.22 yes 100.00%
pm 3671.87 -inf no 13.33%
rrwm 2676.35 -inf no 13.33%
sm 4212.39 -inf no 6.67%
smac 3992.57 -inf no 23.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3758.22 -3758.46 yes 100.00%
dd-ls3 -3758.22 -3758.25 yes 100.00%
dd-ls4 -3758.22 -3758.28 yes 100.00%
fgmd -2978.08 -inf no 66.67%
fm-bca -3758.22 -3758.22 yes 100.00%
fm -3758.22 -4070.15 yes 100.00%
fw -3758.22 -inf yes 100.00%
ga 3682.17 -inf no 6.67%
hbp -3758.22 -3781.95 yes 100.00%
ipfps 4245.48 -inf no 6.67%
ipfpu 4245.48 -inf no 6.67%
lsm 3132.4 -inf no 13.33%
mp -3758.22 -3758.22 yes 100.00%
mp-fw -3758.22 -3758.22 yes 100.00%
mpm 730.873 -inf no 56.67%
mp-mcf -3758.22 -3758.22 yes 100.00%
pm 3671.87 -inf no 13.33%
rrwm 2676.35 -inf no 13.33%
sm 4212.39 -inf no 6.67%
smac 3992.57 -inf no 23.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3758.22 -3758.46 yes 100.00%
dd-ls3 -3758.22 -3758.25 yes 100.00%
dd-ls4 -3758.22 -3758.28 yes 100.00%
fgmd -2978.08 -inf no 66.67%
fm-bca -3758.22 -3758.22 yes 100.00%
fm -3758.22 -4070.15 yes 100.00%
fw -3758.22 -inf yes 100.00%
ga 3682.17 -inf no 6.67%
hbp -3758.22 -3781.95 yes 100.00%
ipfps 4245.48 -inf no 6.67%
ipfpu 4245.48 -inf no 6.67%
lsm 3132.4 -inf no 13.33%
mp -3758.22 -3758.22 yes 100.00%
mp-fw -3758.22 -3758.22 yes 100.00%
mpm 730.873 -inf no 56.67%
mp-mcf -3758.22 -3758.22 yes 100.00%
pm 3671.87 -inf no 13.33%
rrwm 2676.35 -inf no 13.33%
sm 4212.39 -inf no 6.67%
smac 3992.57 -inf no 23.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: