A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense14”

This page shows the benchmarks results for the dataset instance “house-dense14”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3815.26.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3815.26 -3815.54 yes 100.00%
dd-ls3 -3815.26 -3815.33 yes 100.00%
dd-ls4 -3815.26 -3826.66 yes 100.00%
fgmd inf -inf no
fm-bca -3815.26 -3815.26 yes 100.00%
fm -3815.26 -4099.85 yes 100.00%
fw -3815.26 -inf yes 100.00%
ga 3615.27 -inf no 10.00%
hbp -3815.26 -3838.68 yes 100.00%
ipfps 3804.84 -inf no 6.67%
ipfpu 3804.84 -inf no 6.67%
lsm inf -inf no
mp -3815.26 -3815.26 yes 100.00%
mp-fw -3815.26 -3834.85 yes 100.00%
mpm 334.921 -inf no 56.67%
mp-mcf -3533.63 -3831.63 no 86.67%
pm 3344.94 -inf no 16.67%
rrwm 2802.18 -inf no 16.67%
sm 3798.98 -inf no 3.33%
smac 2400.34 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3815.26 -3815.54 yes 100.00%
dd-ls3 -3815.26 -3815.33 yes 100.00%
dd-ls4 -3815.26 -3815.28 yes 100.00%
fgmd inf -inf no
fm-bca -3815.26 -3815.26 yes 100.00%
fm -3815.26 -4099.85 yes 100.00%
fw -3815.26 -inf yes 100.00%
ga 3615.27 -inf no 10.00%
hbp -3815.26 -3838.68 yes 100.00%
ipfps 3804.84 -inf no 6.67%
ipfpu 3804.84 -inf no 6.67%
lsm 3366.82 -inf no 13.33%
mp -3815.26 -3815.26 yes 100.00%
mp-fw -3815.26 -3815.26 yes 100.00%
mpm 334.921 -inf no 56.67%
mp-mcf -3815.26 -3815.26 yes 100.00%
pm 3344.94 -inf no 16.67%
rrwm 2802.18 -inf no 16.67%
sm 3798.98 -inf no 3.33%
smac 2400.34 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3815.26 -3815.54 yes 100.00%
dd-ls3 -3815.26 -3815.33 yes 100.00%
dd-ls4 -3815.26 -3815.28 yes 100.00%
fgmd -3815.26 -inf yes 100.00%
fm-bca -3815.26 -3815.26 yes 100.00%
fm -3815.26 -4099.85 yes 100.00%
fw -3815.26 -inf yes 100.00%
ga 3615.27 -inf no 10.00%
hbp -3815.26 -3838.68 yes 100.00%
ipfps 3804.84 -inf no 6.67%
ipfpu 3804.84 -inf no 6.67%
lsm 3366.82 -inf no 13.33%
mp -3815.26 -3815.26 yes 100.00%
mp-fw -3815.26 -3815.26 yes 100.00%
mpm 334.921 -inf no 56.67%
mp-mcf -3815.26 -3815.26 yes 100.00%
pm 3344.94 -inf no 16.67%
rrwm 2802.18 -inf no 16.67%
sm 3798.98 -inf no 3.33%
smac 2400.34 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3815.26 -3815.54 yes 100.00%
dd-ls3 -3815.26 -3815.33 yes 100.00%
dd-ls4 -3815.26 -3815.28 yes 100.00%
fgmd -3815.26 -inf yes 100.00%
fm-bca -3815.26 -3815.26 yes 100.00%
fm -3815.26 -4099.85 yes 100.00%
fw -3815.26 -inf yes 100.00%
ga 3615.27 -inf no 10.00%
hbp -3815.26 -3838.68 yes 100.00%
ipfps 3804.84 -inf no 6.67%
ipfpu 3804.84 -inf no 6.67%
lsm 3366.82 -inf no 13.33%
mp -3815.26 -3815.26 yes 100.00%
mp-fw -3815.26 -3815.26 yes 100.00%
mpm 334.921 -inf no 56.67%
mp-mcf -3815.26 -3815.26 yes 100.00%
pm 3344.94 -inf no 16.67%
rrwm 2802.18 -inf no 16.67%
sm 3798.98 -inf no 3.33%
smac 2400.34 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: