A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense21”

This page shows the benchmarks results for the dataset instance “house-dense21”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3813.78.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3813.78 -3815.96 yes 100.00%
dd-ls3 -3813.78 -3813.81 yes 100.00%
dd-ls4 -3813.78 -3822.64 yes 100.00%
fgmd inf -inf no
fm-bca -3813.78 -3813.78 yes 100.00%
fm -3813.78 -4102.64 yes 100.00%
fw -3813.78 -inf yes 100.00%
ga 3499.12 -inf no 3.33%
hbp -3813.78 -3841.29 yes 100.00%
ipfps 3463.6 -inf no 3.33%
ipfpu 3463.6 -inf no 3.33%
lsm inf -inf no
mp -3813.78 -3815.36 yes 100.00%
mp-fw -3813.78 -3884.3 yes 100.00%
mpm 2196.83 -inf no 53.33%
mp-mcf -3535.96 -3857.05 no 86.67%
pm 3368.3 -inf no 20.00%
rrwm 2581.34 -inf no 10.00%
sm 3861.5 -inf no 6.67%
smac 3005.46 -inf no 23.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3813.78 -3815.96 yes 100.00%
dd-ls3 -3813.78 -3813.81 yes 100.00%
dd-ls4 -3813.78 -3815.63 yes 100.00%
fgmd inf -inf no
fm-bca -3813.78 -3813.78 yes 100.00%
fm -3813.78 -4102.64 yes 100.00%
fw -3813.78 -inf yes 100.00%
ga 3499.12 -inf no 3.33%
hbp -3813.78 -3841.29 yes 100.00%
ipfps 3463.6 -inf no 3.33%
ipfpu 3463.6 -inf no 3.33%
lsm 2342.88 -inf no 23.33%
mp -3813.78 -3813.78 yes 100.00%
mp-fw -3813.78 -3816.78 yes 100.00%
mpm 2196.83 -inf no 53.33%
mp-mcf -3813.78 -3813.78 yes 100.00%
pm 3368.3 -inf no 20.00%
rrwm 2581.34 -inf no 10.00%
sm 3861.5 -inf no 6.67%
smac 3005.46 -inf no 23.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3813.78 -3815.96 yes 100.00%
dd-ls3 -3813.78 -3813.81 yes 100.00%
dd-ls4 -3813.78 -3815.63 yes 100.00%
fgmd -3813.78 -inf yes 100.00%
fm-bca -3813.78 -3813.78 yes 100.00%
fm -3813.78 -4102.64 yes 100.00%
fw -3813.78 -inf yes 100.00%
ga 3499.12 -inf no 3.33%
hbp -3813.78 -3841.29 yes 100.00%
ipfps 3463.6 -inf no 3.33%
ipfpu 3463.6 -inf no 3.33%
lsm 2342.88 -inf no 23.33%
mp -3813.78 -3813.78 yes 100.00%
mp-fw -3813.78 -3813.78 yes 100.00%
mpm 2196.83 -inf no 53.33%
mp-mcf -3813.78 -3813.78 yes 100.00%
pm 3368.3 -inf no 20.00%
rrwm 2581.34 -inf no 10.00%
sm 3861.5 -inf no 6.67%
smac 3005.46 -inf no 23.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3813.78 -3815.96 yes 100.00%
dd-ls3 -3813.78 -3813.81 yes 100.00%
dd-ls4 -3813.78 -3815.63 yes 100.00%
fgmd -3813.78 -inf yes 100.00%
fm-bca -3813.78 -3813.78 yes 100.00%
fm -3813.78 -4102.64 yes 100.00%
fw -3813.78 -inf yes 100.00%
ga 3499.12 -inf no 3.33%
hbp -3813.78 -3841.29 yes 100.00%
ipfps 3463.6 -inf no 3.33%
ipfpu 3463.6 -inf no 3.33%
lsm 2342.88 -inf no 23.33%
mp -3813.78 -3813.78 yes 100.00%
mp-fw -3813.78 -3813.78 yes 100.00%
mpm 2196.83 -inf no 53.33%
mp-mcf -3813.78 -3813.78 yes 100.00%
pm 3368.3 -inf no 20.00%
rrwm 2581.34 -inf no 10.00%
sm 3861.5 -inf no 6.67%
smac 3005.46 -inf no 23.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: