A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense102”

This page shows the benchmarks results for the dataset instance “house-dense102”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3777.39.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3777.39 -3778.04 yes 100.00%
dd-ls3 -3777.39 -3780.36 yes 100.00%
dd-ls4 -3777.39 -3795.62 yes 100.00%
fgmd inf -inf no
fm-bca -3777.39 -3777.4 yes 100.00%
fm -3777.39 -4062.53 yes 100.00%
fw -3777.39 -inf yes 100.00%
ga 3652.24 -inf no 6.67%
hbp -3777.39 -3804.95 yes 100.00%
ipfps 3792.36 -inf no 6.67%
ipfpu 3792.36 -inf no 6.67%
lsm inf -inf no
mp -3777.39 -3777.39 yes 100.00%
mp-fw -3777.39 -3823.09 yes 100.00%
mpm 31.2796 -inf no 53.33%
mp-mcf -3777.39 -3783.92 yes 100.00%
pm 3485.02 -inf no 16.67%
rrwm 3696.72 -inf no 3.33%
sm 4307.14 -inf no 6.67%
smac 904.663 -inf no 36.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3777.39 -3778.04 yes 100.00%
dd-ls3 -3777.39 -3780.36 yes 100.00%
dd-ls4 -3777.39 -3777.62 yes 100.00%
fgmd inf -inf no
fm-bca -3777.39 -3777.39 yes 100.00%
fm -3777.39 -4062.53 yes 100.00%
fw -3777.39 -inf yes 100.00%
ga 3652.24 -inf no 6.67%
hbp -3777.39 -3804.95 yes 100.00%
ipfps 3792.36 -inf no 6.67%
ipfpu 3792.36 -inf no 6.67%
lsm 1430.31 -inf no 26.67%
mp -3777.39 -3777.39 yes 100.00%
mp-fw -3777.39 -3777.39 yes 100.00%
mpm 31.2796 -inf no 53.33%
mp-mcf -3777.39 -3777.39 yes 100.00%
pm 3485.02 -inf no 16.67%
rrwm 3696.72 -inf no 3.33%
sm 4307.14 -inf no 6.67%
smac 904.663 -inf no 36.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3777.39 -3778.04 yes 100.00%
dd-ls3 -3777.39 -3780.36 yes 100.00%
dd-ls4 -3777.39 -3777.62 yes 100.00%
fgmd -3777.39 -inf yes 100.00%
fm-bca -3777.39 -3777.39 yes 100.00%
fm -3777.39 -4062.53 yes 100.00%
fw -3777.39 -inf yes 100.00%
ga 3652.24 -inf no 6.67%
hbp -3777.39 -3804.95 yes 100.00%
ipfps 3792.36 -inf no 6.67%
ipfpu 3792.36 -inf no 6.67%
lsm 1430.31 -inf no 26.67%
mp -3777.39 -3777.39 yes 100.00%
mp-fw -3777.39 -3777.39 yes 100.00%
mpm 31.2796 -inf no 53.33%
mp-mcf -3777.39 -3777.39 yes 100.00%
pm 3485.02 -inf no 16.67%
rrwm 3696.72 -inf no 3.33%
sm 4307.14 -inf no 6.67%
smac 904.663 -inf no 36.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3777.39 -3778.04 yes 100.00%
dd-ls3 -3777.39 -3780.36 yes 100.00%
dd-ls4 -3777.39 -3777.62 yes 100.00%
fgmd -3777.39 -inf yes 100.00%
fm-bca -3777.39 -3777.39 yes 100.00%
fm -3777.39 -4062.53 yes 100.00%
fw -3777.39 -inf yes 100.00%
ga 3652.24 -inf no 6.67%
hbp -3777.39 -3804.95 yes 100.00%
ipfps 3792.36 -inf no 6.67%
ipfpu 3792.36 -inf no 6.67%
lsm 1430.31 -inf no 26.67%
mp -3777.39 -3777.39 yes 100.00%
mp-fw -3777.39 -3777.39 yes 100.00%
mpm 31.2796 -inf no 53.33%
mp-mcf -3777.39 -3777.39 yes 100.00%
pm 3485.02 -inf no 16.67%
rrwm 3696.72 -inf no 3.33%
sm 4307.14 -inf no 6.67%
smac 904.663 -inf no 36.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: