A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense17”

This page shows the benchmarks results for the dataset instance “house-dense17”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3769.27.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3769.27 -3769.42 yes 100.00%
dd-ls3 -3769.27 -3769.4 yes 100.00%
dd-ls4 -3769.27 -3778.3 yes 100.00%
fgmd inf -inf no
fm-bca -3769.27 -3769.27 yes 100.00%
fm -3769.27 -4086.95 yes 100.00%
fw -3769.27 -inf yes 100.00%
ga 3953.21 -inf no 10.00%
hbp -3769.27 -3797.95 yes 100.00%
ipfps 3904.83 -inf no 10.00%
ipfpu 3904.83 -inf no 10.00%
lsm inf -inf no
mp -3769.27 -3769.27 yes 100.00%
mp-fw -3769.27 -3820.28 yes 100.00%
mpm 2262.12 -inf no 46.67%
mp-mcf -3494.48 -3814.24 no 86.67%
pm 3695.86 -inf no 16.67%
rrwm 3321.37 -inf no 6.67%
sm 3819.91 -inf no 13.33%
smac 2980.74 -inf no 30.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3769.27 -3769.42 yes 100.00%
dd-ls3 -3769.27 -3769.4 yes 100.00%
dd-ls4 -3769.27 -3770.94 yes 100.00%
fgmd inf -inf no
fm-bca -3769.27 -3769.27 yes 100.00%
fm -3769.27 -4086.95 yes 100.00%
fw -3769.27 -inf yes 100.00%
ga 3953.21 -inf no 10.00%
hbp -3769.27 -3797.95 yes 100.00%
ipfps 3904.83 -inf no 10.00%
ipfpu 3904.83 -inf no 10.00%
lsm 1024.83 -inf no 33.33%
mp -3769.27 -3769.27 yes 100.00%
mp-fw -3769.27 -3769.27 yes 100.00%
mpm 2262.12 -inf no 46.67%
mp-mcf -3769.27 -3769.27 yes 100.00%
pm 3695.86 -inf no 16.67%
rrwm 3321.37 -inf no 6.67%
sm 3819.91 -inf no 13.33%
smac 2980.74 -inf no 30.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3769.27 -3769.42 yes 100.00%
dd-ls3 -3769.27 -3769.4 yes 100.00%
dd-ls4 -3769.27 -3770.94 yes 100.00%
fgmd -3769.27 -inf yes 100.00%
fm-bca -3769.27 -3769.27 yes 100.00%
fm -3769.27 -4086.95 yes 100.00%
fw -3769.27 -inf yes 100.00%
ga 3953.21 -inf no 10.00%
hbp -3769.27 -3797.95 yes 100.00%
ipfps 3904.83 -inf no 10.00%
ipfpu 3904.83 -inf no 10.00%
lsm 1024.83 -inf no 33.33%
mp -3769.27 -3769.27 yes 100.00%
mp-fw -3769.27 -3769.27 yes 100.00%
mpm 2262.12 -inf no 46.67%
mp-mcf -3769.27 -3769.27 yes 100.00%
pm 3695.86 -inf no 16.67%
rrwm 3321.37 -inf no 6.67%
sm 3819.91 -inf no 13.33%
smac 2980.74 -inf no 30.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3769.27 -3769.42 yes 100.00%
dd-ls3 -3769.27 -3769.4 yes 100.00%
dd-ls4 -3769.27 -3770.94 yes 100.00%
fgmd -3769.27 -inf yes 100.00%
fm-bca -3769.27 -3769.27 yes 100.00%
fm -3769.27 -4086.95 yes 100.00%
fw -3769.27 -inf yes 100.00%
ga 3953.21 -inf no 10.00%
hbp -3769.27 -3797.95 yes 100.00%
ipfps 3904.83 -inf no 10.00%
ipfpu 3904.83 -inf no 10.00%
lsm 1024.83 -inf no 33.33%
mp -3769.27 -3769.27 yes 100.00%
mp-fw -3769.27 -3769.27 yes 100.00%
mpm 2262.12 -inf no 46.67%
mp-mcf -3769.27 -3769.27 yes 100.00%
pm 3695.86 -inf no 16.67%
rrwm 3321.37 -inf no 6.67%
sm 3819.91 -inf no 13.33%
smac 2980.74 -inf no 30.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: