A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense15”

This page shows the benchmarks results for the dataset instance “house-dense15”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3761.33.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3761.33 -3761.58 yes 100.00%
dd-ls3 -3761.33 -3762.1 yes 100.00%
dd-ls4 -3761.33 -3774.82 yes 100.00%
fgmd inf -inf no
fm-bca -3761.33 -3761.33 yes 100.00%
fm -3761.33 -4086.67 yes 100.00%
fw -3761.33 -inf yes 100.00%
ga 3907.96 -inf no 3.33%
hbp -3761.33 -3785.27 yes 100.00%
ipfps 4027.88 -inf no 3.33%
ipfpu 4027.88 -inf no 3.33%
lsm inf -inf no
mp -3761.33 -3761.33 yes 100.00%
mp-fw -3761.33 -3851.88 yes 100.00%
mpm 536.568 -inf no 56.67%
mp-mcf -3480.73 -3833.49 no 86.67%
pm 3415.97 -inf no 16.67%
rrwm 3345.6 -inf no 3.33%
sm 3821.36 -inf no 3.33%
smac 2430.78 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3761.33 -3761.58 yes 100.00%
dd-ls3 -3761.33 -3762.1 yes 100.00%
dd-ls4 -3761.33 -3761.62 yes 100.00%
fgmd inf -inf no
fm-bca -3761.33 -3761.33 yes 100.00%
fm -3761.33 -4086.67 yes 100.00%
fw -3761.33 -inf yes 100.00%
ga 3907.96 -inf no 3.33%
hbp -3761.33 -3785.27 yes 100.00%
ipfps 4027.88 -inf no 3.33%
ipfpu 4027.88 -inf no 3.33%
lsm 2798.48 -inf no 20.00%
mp -3761.33 -3761.33 yes 100.00%
mp-fw -3761.33 -3817.38 yes 100.00%
mpm 536.568 -inf no 56.67%
mp-mcf -3761.33 -3785.36 yes 100.00%
pm 3415.97 -inf no 16.67%
rrwm 3345.6 -inf no 3.33%
sm 3821.36 -inf no 3.33%
smac 2430.78 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3761.33 -3761.58 yes 100.00%
dd-ls3 -3761.33 -3762.1 yes 100.00%
dd-ls4 -3761.33 -3761.62 yes 100.00%
fgmd -3761.33 -inf yes 100.00%
fm-bca -3761.33 -3761.33 yes 100.00%
fm -3761.33 -4086.67 yes 100.00%
fw -3761.33 -inf yes 100.00%
ga 3907.96 -inf no 3.33%
hbp -3761.33 -3785.27 yes 100.00%
ipfps 4027.88 -inf no 3.33%
ipfpu 4027.88 -inf no 3.33%
lsm 2798.48 -inf no 20.00%
mp -3761.33 -3761.33 yes 100.00%
mp-fw -3761.33 -3761.33 yes 100.00%
mpm 536.568 -inf no 56.67%
mp-mcf -3761.33 -3761.33 yes 100.00%
pm 3415.97 -inf no 16.67%
rrwm 3345.6 -inf no 3.33%
sm 3821.36 -inf no 3.33%
smac 2430.78 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3761.33 -3761.58 yes 100.00%
dd-ls3 -3761.33 -3762.1 yes 100.00%
dd-ls4 -3761.33 -3761.62 yes 100.00%
fgmd -3761.33 -inf yes 100.00%
fm-bca -3761.33 -3761.33 yes 100.00%
fm -3761.33 -4086.67 yes 100.00%
fw -3761.33 -inf yes 100.00%
ga 3907.96 -inf no 3.33%
hbp -3761.33 -3785.27 yes 100.00%
ipfps 4027.88 -inf no 3.33%
ipfpu 4027.88 -inf no 3.33%
lsm 2798.48 -inf no 20.00%
mp -3761.33 -3761.33 yes 100.00%
mp-fw -3761.33 -3761.33 yes 100.00%
mpm 536.568 -inf no 56.67%
mp-mcf -3761.33 -3761.33 yes 100.00%
pm 3415.97 -inf no 16.67%
rrwm 3345.6 -inf no 3.33%
sm 3821.36 -inf no 3.33%
smac 2430.78 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: