A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense81”

This page shows the benchmarks results for the dataset instance “house-dense81”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3796.54.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3796.54 -3796.88 yes 100.00%
dd-ls3 -3796.54 -3796.54 yes 100.00%
dd-ls4 -3796.54 -3819.05 yes 100.00%
fgmd inf -inf no
fm-bca -3796.54 -3796.54 yes 100.00%
fm -3796.54 -4060.5 yes 100.00%
fw -3796.54 -inf yes 100.00%
ga 3738.81 -inf no 10.00%
hbp -3796.54 -3824.65 yes 100.00%
ipfps 3738.81 -inf no 10.00%
ipfpu 3738.81 -inf no 10.00%
lsm inf -inf no
mp -3796.54 -3796.54 yes 100.00%
mp-fw -3796.54 -3833.33 yes 100.00%
mpm -279.417 -inf no 60.00%
mp-mcf -3796.54 -3820.55 yes 100.00%
pm 3246.09 -inf no 23.33%
rrwm 2951.43 -inf no 16.67%
sm 3826.41 -inf no 16.67%
smac 3597.49 -inf no 26.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3796.54 -3796.88 yes 100.00%
dd-ls3 -3796.54 -3796.54 yes 100.00%
dd-ls4 -3796.54 -3796.89 yes 100.00%
fgmd inf -inf no
fm-bca -3796.54 -3796.54 yes 100.00%
fm -3796.54 -4060.5 yes 100.00%
fw -3796.54 -inf yes 100.00%
ga 3738.81 -inf no 10.00%
hbp -3796.54 -3824.65 yes 100.00%
ipfps 3738.81 -inf no 10.00%
ipfpu 3738.81 -inf no 10.00%
lsm 2657.57 -inf no 16.67%
mp -3796.54 -3796.54 yes 100.00%
mp-fw -3796.54 -3797.87 yes 100.00%
mpm -279.417 -inf no 60.00%
mp-mcf -3796.54 -3796.77 yes 100.00%
pm 3246.09 -inf no 23.33%
rrwm 2951.43 -inf no 16.67%
sm 3826.41 -inf no 16.67%
smac 3597.49 -inf no 26.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3796.54 -3796.88 yes 100.00%
dd-ls3 -3796.54 -3796.54 yes 100.00%
dd-ls4 -3796.54 -3796.89 yes 100.00%
fgmd -3796.54 -inf yes 100.00%
fm-bca -3796.54 -3796.54 yes 100.00%
fm -3796.54 -4060.5 yes 100.00%
fw -3796.54 -inf yes 100.00%
ga 3738.81 -inf no 10.00%
hbp -3796.54 -3824.65 yes 100.00%
ipfps 3738.81 -inf no 10.00%
ipfpu 3738.81 -inf no 10.00%
lsm 2657.57 -inf no 16.67%
mp -3796.54 -3796.54 yes 100.00%
mp-fw -3796.54 -3796.54 yes 100.00%
mpm -279.417 -inf no 60.00%
mp-mcf -3796.54 -3796.54 yes 100.00%
pm 3246.09 -inf no 23.33%
rrwm 2951.43 -inf no 16.67%
sm 3826.41 -inf no 16.67%
smac 3597.49 -inf no 26.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3796.54 -3796.88 yes 100.00%
dd-ls3 -3796.54 -3796.54 yes 100.00%
dd-ls4 -3796.54 -3796.89 yes 100.00%
fgmd -3796.54 -inf yes 100.00%
fm-bca -3796.54 -3796.54 yes 100.00%
fm -3796.54 -4060.5 yes 100.00%
fw -3796.54 -inf yes 100.00%
ga 3738.81 -inf no 10.00%
hbp -3796.54 -3824.65 yes 100.00%
ipfps 3738.81 -inf no 10.00%
ipfpu 3738.81 -inf no 10.00%
lsm 2657.57 -inf no 16.67%
mp -3796.54 -3796.54 yes 100.00%
mp-fw -3796.54 -3796.54 yes 100.00%
mpm -279.417 -inf no 60.00%
mp-mcf -3796.54 -3796.54 yes 100.00%
pm 3246.09 -inf no 23.33%
rrwm 2951.43 -inf no 16.67%
sm 3826.41 -inf no 16.67%
smac 3597.49 -inf no 26.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: