A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense57”

This page shows the benchmarks results for the dataset instance “house-dense57”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3748.34.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3748.34 -3748.67 yes 100.00%
dd-ls3 -3748.34 -3748.43 yes 100.00%
dd-ls4 -3748.34 -3775.79 yes 100.00%
fgmd inf -inf no
fm-bca -3748.34 -3748.34 yes 100.00%
fm -3748.34 -4069.27 yes 100.00%
fw -3748.34 -inf yes 100.00%
ga 3679.51 -inf no 13.33%
hbp -3748.34 -3774.85 yes 100.00%
ipfps 3686.77 -inf no 13.33%
ipfpu 3686.77 -inf no 13.33%
lsm inf -inf no
mp -3748.34 -3748.34 yes 100.00%
mp-fw -3748.34 -3826.71 yes 100.00%
mpm 2080.93 -inf no 40.00%
mp-mcf -2876.27 -3809.49 no 70.00%
pm 3317.01 -inf no 16.67%
rrwm 3108.84 -inf no 16.67%
sm 3481.44 -inf no 10.00%
smac 4151.29 -inf no 26.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3748.34 -3748.67 yes 100.00%
dd-ls3 -3748.34 -3748.43 yes 100.00%
dd-ls4 -3748.34 -3749.1 yes 100.00%
fgmd inf -inf no
fm-bca -3748.34 -3748.34 yes 100.00%
fm -3748.34 -4069.27 yes 100.00%
fw -3748.34 -inf yes 100.00%
ga 3679.51 -inf no 13.33%
hbp -3748.34 -3774.85 yes 100.00%
ipfps 3686.77 -inf no 13.33%
ipfpu 3686.77 -inf no 13.33%
lsm 2143.84 -inf no 20.00%
mp -3748.34 -3748.34 yes 100.00%
mp-fw -3748.34 -3770.16 yes 100.00%
mpm 2080.93 -inf no 40.00%
mp-mcf -3748.34 -3748.44 yes 100.00%
pm 3317.01 -inf no 16.67%
rrwm 3108.84 -inf no 16.67%
sm 3481.44 -inf no 10.00%
smac 4151.29 -inf no 26.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3748.34 -3748.67 yes 100.00%
dd-ls3 -3748.34 -3748.43 yes 100.00%
dd-ls4 -3748.34 -3749.1 yes 100.00%
fgmd -2470.83 -inf no 46.67%
fm-bca -3748.34 -3748.34 yes 100.00%
fm -3748.34 -4069.27 yes 100.00%
fw -3748.34 -inf yes 100.00%
ga 3679.51 -inf no 13.33%
hbp -3748.34 -3774.85 yes 100.00%
ipfps 3686.77 -inf no 13.33%
ipfpu 3686.77 -inf no 13.33%
lsm 2143.84 -inf no 20.00%
mp -3748.34 -3748.34 yes 100.00%
mp-fw -3748.34 -3748.34 yes 100.00%
mpm 2080.93 -inf no 40.00%
mp-mcf -3748.34 -3748.34 yes 100.00%
pm 3317.01 -inf no 16.67%
rrwm 3108.84 -inf no 16.67%
sm 3481.44 -inf no 10.00%
smac 4151.29 -inf no 26.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3748.34 -3748.67 yes 100.00%
dd-ls3 -3748.34 -3748.43 yes 100.00%
dd-ls4 -3748.34 -3749.1 yes 100.00%
fgmd -2470.83 -inf no 46.67%
fm-bca -3748.34 -3748.34 yes 100.00%
fm -3748.34 -4069.27 yes 100.00%
fw -3748.34 -inf yes 100.00%
ga 3679.51 -inf no 13.33%
hbp -3748.34 -3774.85 yes 100.00%
ipfps 3686.77 -inf no 13.33%
ipfpu 3686.77 -inf no 13.33%
lsm 2143.84 -inf no 20.00%
mp -3748.34 -3748.34 yes 100.00%
mp-fw -3748.34 -3748.34 yes 100.00%
mpm 2080.93 -inf no 40.00%
mp-mcf -3748.34 -3748.34 yes 100.00%
pm 3317.01 -inf no 16.67%
rrwm 3108.84 -inf no 16.67%
sm 3481.44 -inf no 10.00%
smac 4151.29 -inf no 26.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: