A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense39”

This page shows the benchmarks results for the dataset instance “house-dense39”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3771.82.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3771.82 -3771.84 yes 100.00%
dd-ls3 -3771.82 -3771.86 yes 100.00%
dd-ls4 -3771.82 -3791.08 yes 100.00%
fgmd inf -inf no
fm-bca -3771.82 -3771.82 yes 100.00%
fm -3771.82 -4094.79 yes 100.00%
fw -3771.82 -inf yes 100.00%
ga 3777.16 -inf no 10.00%
hbp -3771.82 -3798.55 yes 100.00%
ipfps 3744.68 -inf no 10.00%
ipfpu 3744.68 -inf no 10.00%
lsm inf -inf no
mp -3771.82 -3771.82 yes 100.00%
mp-fw -3771.82 -3888.35 yes 100.00%
mpm 1831.46 -inf no 43.33%
mp-mcf -3501.91 -3823.69 no 73.33%
pm 3501.26 -inf no 16.67%
rrwm 3085.72 -inf no 16.67%
sm 4033.28 -inf no 3.33%
smac 2533.48 -inf no 40.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3771.82 -3771.84 yes 100.00%
dd-ls3 -3771.82 -3771.86 yes 100.00%
dd-ls4 -3771.82 -3771.85 yes 100.00%
fgmd inf -inf no
fm-bca -3771.82 -3771.82 yes 100.00%
fm -3771.82 -4094.79 yes 100.00%
fw -3771.82 -inf yes 100.00%
ga 3777.16 -inf no 10.00%
hbp -3771.82 -3798.55 yes 100.00%
ipfps 3744.68 -inf no 10.00%
ipfpu 3744.68 -inf no 10.00%
lsm 2445.68 -inf no 16.67%
mp -3771.82 -3771.82 yes 100.00%
mp-fw -3771.82 -3801.29 yes 100.00%
mpm 1831.46 -inf no 43.33%
mp-mcf -3771.82 -3771.82 yes 100.00%
pm 3501.26 -inf no 16.67%
rrwm 3085.72 -inf no 16.67%
sm 4033.28 -inf no 3.33%
smac 2533.48 -inf no 40.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3771.82 -3771.84 yes 100.00%
dd-ls3 -3771.82 -3771.86 yes 100.00%
dd-ls4 -3771.82 -3771.85 yes 100.00%
fgmd -3771.82 -inf yes 100.00%
fm-bca -3771.82 -3771.82 yes 100.00%
fm -3771.82 -4094.79 yes 100.00%
fw -3771.82 -inf yes 100.00%
ga 3777.16 -inf no 10.00%
hbp -3771.82 -3798.55 yes 100.00%
ipfps 3744.68 -inf no 10.00%
ipfpu 3744.68 -inf no 10.00%
lsm 2445.68 -inf no 16.67%
mp -3771.82 -3771.82 yes 100.00%
mp-fw -3771.82 -3771.82 yes 100.00%
mpm 1831.46 -inf no 43.33%
mp-mcf -3771.82 -3771.82 yes 100.00%
pm 3501.26 -inf no 16.67%
rrwm 3085.72 -inf no 16.67%
sm 4033.28 -inf no 3.33%
smac 2533.48 -inf no 40.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3771.82 -3771.84 yes 100.00%
dd-ls3 -3771.82 -3771.86 yes 100.00%
dd-ls4 -3771.82 -3771.85 yes 100.00%
fgmd -3771.82 -inf yes 100.00%
fm-bca -3771.82 -3771.82 yes 100.00%
fm -3771.82 -4094.79 yes 100.00%
fw -3771.82 -inf yes 100.00%
ga 3777.16 -inf no 10.00%
hbp -3771.82 -3798.55 yes 100.00%
ipfps 3744.68 -inf no 10.00%
ipfpu 3744.68 -inf no 10.00%
lsm 2445.68 -inf no 16.67%
mp -3771.82 -3771.82 yes 100.00%
mp-fw -3771.82 -3771.82 yes 100.00%
mpm 1831.46 -inf no 43.33%
mp-mcf -3771.82 -3771.82 yes 100.00%
pm 3501.26 -inf no 16.67%
rrwm 3085.72 -inf no 16.67%
sm 4033.28 -inf no 3.33%
smac 2533.48 -inf no 40.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: