A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense65”

This page shows the benchmarks results for the dataset instance “house-dense65”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3739.39.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3739.39 -3740.51 yes 100.00%
dd-ls3 -3739.39 -3739.55 yes 100.00%
dd-ls4 -3739.39 -3757.69 yes 100.00%
fgmd inf -inf no
fm-bca -3739.39 -3739.98 yes 100.00%
fm -3739.39 -4048.06 yes 100.00%
fw -3739.39 -inf yes 100.00%
ga 3054.99 -inf no 13.33%
hbp -3739.39 -3778.28 yes 100.00%
ipfps 3835.06 -inf no 10.00%
ipfpu 3835.06 -inf no 10.00%
lsm inf -inf no
mp -3739.39 -3748.9 yes 100.00%
mp-fw -3739.39 -3803.85 yes 100.00%
mpm 860.14 -inf no 56.67%
mp-mcf -3739.39 -3789.04 yes 100.00%
pm 2995.82 -inf no 13.33%
rrwm 2890.4 -inf no 13.33%
sm 3635.4 -inf no 3.33%
smac 1849.56 -inf no 36.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3739.39 -3740.51 yes 100.00%
dd-ls3 -3739.39 -3739.55 yes 100.00%
dd-ls4 -3739.39 -3739.41 yes 100.00%
fgmd inf -inf no
fm-bca -3739.39 -3739.39 yes 100.00%
fm -3739.39 -4048.06 yes 100.00%
fw -3739.39 -inf yes 100.00%
ga 3054.99 -inf no 13.33%
hbp -3739.39 -3778.28 yes 100.00%
ipfps 3835.06 -inf no 10.00%
ipfpu 3835.06 -inf no 10.00%
lsm 2179.33 -inf no 6.67%
mp -3739.39 -3739.39 yes 100.00%
mp-fw -3739.39 -3739.39 yes 100.00%
mpm 860.14 -inf no 56.67%
mp-mcf -3739.39 -3739.39 yes 100.00%
pm 2995.82 -inf no 13.33%
rrwm 2890.4 -inf no 13.33%
sm 3635.4 -inf no 3.33%
smac 1849.56 -inf no 36.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3739.39 -3740.51 yes 100.00%
dd-ls3 -3739.39 -3739.55 yes 100.00%
dd-ls4 -3739.39 -3739.41 yes 100.00%
fgmd -2827.69 -inf no 56.67%
fm-bca -3739.39 -3739.39 yes 100.00%
fm -3739.39 -4048.06 yes 100.00%
fw -3739.39 -inf yes 100.00%
ga 3054.99 -inf no 13.33%
hbp -3739.39 -3778.28 yes 100.00%
ipfps 3835.06 -inf no 10.00%
ipfpu 3835.06 -inf no 10.00%
lsm 2179.33 -inf no 6.67%
mp -3739.39 -3739.39 yes 100.00%
mp-fw -3739.39 -3739.39 yes 100.00%
mpm 860.14 -inf no 56.67%
mp-mcf -3739.39 -3739.39 yes 100.00%
pm 2995.82 -inf no 13.33%
rrwm 2890.4 -inf no 13.33%
sm 3635.4 -inf no 3.33%
smac 1849.56 -inf no 36.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3739.39 -3740.51 yes 100.00%
dd-ls3 -3739.39 -3739.55 yes 100.00%
dd-ls4 -3739.39 -3739.41 yes 100.00%
fgmd -2827.69 -inf no 56.67%
fm-bca -3739.39 -3739.39 yes 100.00%
fm -3739.39 -4048.06 yes 100.00%
fw -3739.39 -inf yes 100.00%
ga 3054.99 -inf no 13.33%
hbp -3739.39 -3778.28 yes 100.00%
ipfps 3835.06 -inf no 10.00%
ipfpu 3835.06 -inf no 10.00%
lsm 2179.33 -inf no 6.67%
mp -3739.39 -3739.39 yes 100.00%
mp-fw -3739.39 -3739.39 yes 100.00%
mpm 860.14 -inf no 56.67%
mp-mcf -3739.39 -3739.39 yes 100.00%
pm 2995.82 -inf no 13.33%
rrwm 2890.4 -inf no 13.33%
sm 3635.4 -inf no 3.33%
smac 1849.56 -inf no 36.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: