A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense104”

This page shows the benchmarks results for the dataset instance “house-dense104”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3767.45.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3767.45 -3767.65 yes 100.00%
dd-ls3 -3767.45 -3767.5 yes 100.00%
dd-ls4 -3767.45 -3778.67 yes 100.00%
fgmd inf -inf no
fm-bca -3767.45 -3767.45 yes 100.00%
fm -3767.45 -4068.73 yes 100.00%
fw -3767.45 -inf yes 100.00%
ga 3633.54 -inf no 10.00%
hbp -3767.45 -3793.9 yes 100.00%
ipfps 3633.54 -inf no 10.00%
ipfpu 3633.54 -inf no 10.00%
lsm inf -inf no
mp -3767.45 -3767.45 yes 100.00%
mp-fw -3767.45 -3839.07 yes 100.00%
mpm 953.705 -inf no 63.33%
mp-mcf -3767.45 -3817.22 yes 100.00%
pm 3040.36 -inf no 20.00%
rrwm 3267.09 -inf no 6.67%
sm 3878.31 -inf no 3.33%
smac 3576.42 -inf no 26.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3767.45 -3767.65 yes 100.00%
dd-ls3 -3767.45 -3767.5 yes 100.00%
dd-ls4 -3767.45 -3767.56 yes 100.00%
fgmd inf -inf no
fm-bca -3767.45 -3767.45 yes 100.00%
fm -3767.45 -4068.73 yes 100.00%
fw -3767.45 -inf yes 100.00%
ga 3633.54 -inf no 10.00%
hbp -3767.45 -3793.9 yes 100.00%
ipfps 3633.54 -inf no 10.00%
ipfpu 3633.54 -inf no 10.00%
lsm 2692.41 -inf no 13.33%
mp -3767.45 -3767.45 yes 100.00%
mp-fw -3767.45 -3767.45 yes 100.00%
mpm 953.705 -inf no 63.33%
mp-mcf -3767.45 -3767.45 yes 100.00%
pm 3040.36 -inf no 20.00%
rrwm 3267.09 -inf no 6.67%
sm 3878.31 -inf no 3.33%
smac 3576.42 -inf no 26.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3767.45 -3767.65 yes 100.00%
dd-ls3 -3767.45 -3767.5 yes 100.00%
dd-ls4 -3767.45 -3767.56 yes 100.00%
fgmd -3767.45 -inf yes 100.00%
fm-bca -3767.45 -3767.45 yes 100.00%
fm -3767.45 -4068.73 yes 100.00%
fw -3767.45 -inf yes 100.00%
ga 3633.54 -inf no 10.00%
hbp -3767.45 -3793.9 yes 100.00%
ipfps 3633.54 -inf no 10.00%
ipfpu 3633.54 -inf no 10.00%
lsm 2692.41 -inf no 13.33%
mp -3767.45 -3767.45 yes 100.00%
mp-fw -3767.45 -3767.45 yes 100.00%
mpm 953.705 -inf no 63.33%
mp-mcf -3767.45 -3767.45 yes 100.00%
pm 3040.36 -inf no 20.00%
rrwm 3267.09 -inf no 6.67%
sm 3878.31 -inf no 3.33%
smac 3576.42 -inf no 26.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3767.45 -3767.65 yes 100.00%
dd-ls3 -3767.45 -3767.5 yes 100.00%
dd-ls4 -3767.45 -3767.56 yes 100.00%
fgmd -3767.45 -inf yes 100.00%
fm-bca -3767.45 -3767.45 yes 100.00%
fm -3767.45 -4068.73 yes 100.00%
fw -3767.45 -inf yes 100.00%
ga 3633.54 -inf no 10.00%
hbp -3767.45 -3793.9 yes 100.00%
ipfps 3633.54 -inf no 10.00%
ipfpu 3633.54 -inf no 10.00%
lsm 2692.41 -inf no 13.33%
mp -3767.45 -3767.45 yes 100.00%
mp-fw -3767.45 -3767.45 yes 100.00%
mpm 953.705 -inf no 63.33%
mp-mcf -3767.45 -3767.45 yes 100.00%
pm 3040.36 -inf no 20.00%
rrwm 3267.09 -inf no 6.67%
sm 3878.31 -inf no 3.33%
smac 3576.42 -inf no 26.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: