A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense58”

This page shows the benchmarks results for the dataset instance “house-dense58”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3766.04.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3766.04 -3766.44 yes 100.00%
dd-ls3 -3766.04 -3766.24 yes 100.00%
dd-ls4 -3766.04 -3792.05 yes 100.00%
fgmd inf -inf no
fm-bca -3766.04 -3766.04 yes 100.00%
fm -3766.04 -4069.84 yes 100.00%
fw -3766.04 -inf yes 100.00%
ga 3268.46 -inf no 10.00%
hbp -3766.04 -3793.89 yes 100.00%
ipfps 3268.46 -inf no 10.00%
ipfpu 3268.46 -inf no 10.00%
lsm inf -inf no
mp -3766.04 -3766.04 yes 100.00%
mp-fw -3766.04 -3809.44 yes 100.00%
mpm 1955.68 -inf no 40.00%
mp-mcf -3000.71 -3806.9 no 76.67%
pm 3358.08 -inf no 6.67%
rrwm 2612.45 -inf no 10.00%
sm 3424.99 -inf no 6.67%
smac 4098.11 -inf no 20.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3766.04 -3766.44 yes 100.00%
dd-ls3 -3766.04 -3766.24 yes 100.00%
dd-ls4 -3766.04 -3766.09 yes 100.00%
fgmd inf -inf no
fm-bca -3766.04 -3766.04 yes 100.00%
fm -3766.04 -4069.84 yes 100.00%
fw -3766.04 -inf yes 100.00%
ga 3268.46 -inf no 10.00%
hbp -3766.04 -3793.89 yes 100.00%
ipfps 3268.46 -inf no 10.00%
ipfpu 3268.46 -inf no 10.00%
lsm 2888.05 -inf no 20.00%
mp -3766.04 -3766.04 yes 100.00%
mp-fw -3766.04 -3767.5 yes 100.00%
mpm 1955.68 -inf no 40.00%
mp-mcf -3766.04 -3766.04 yes 100.00%
pm 3358.08 -inf no 6.67%
rrwm 2612.45 -inf no 10.00%
sm 3424.99 -inf no 6.67%
smac 4098.11 -inf no 20.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3766.04 -3766.44 yes 100.00%
dd-ls3 -3766.04 -3766.24 yes 100.00%
dd-ls4 -3766.04 -3766.09 yes 100.00%
fgmd -2729.53 -inf no 46.67%
fm-bca -3766.04 -3766.04 yes 100.00%
fm -3766.04 -4069.84 yes 100.00%
fw -3766.04 -inf yes 100.00%
ga 3268.46 -inf no 10.00%
hbp -3766.04 -3793.89 yes 100.00%
ipfps 3268.46 -inf no 10.00%
ipfpu 3268.46 -inf no 10.00%
lsm 2888.05 -inf no 20.00%
mp -3766.04 -3766.04 yes 100.00%
mp-fw -3766.04 -3766.04 yes 100.00%
mpm 1955.68 -inf no 40.00%
mp-mcf -3766.04 -3766.04 yes 100.00%
pm 3358.08 -inf no 6.67%
rrwm 2612.45 -inf no 10.00%
sm 3424.99 -inf no 6.67%
smac 4098.11 -inf no 20.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3766.04 -3766.44 yes 100.00%
dd-ls3 -3766.04 -3766.24 yes 100.00%
dd-ls4 -3766.04 -3766.09 yes 100.00%
fgmd -2729.53 -inf no 46.67%
fm-bca -3766.04 -3766.04 yes 100.00%
fm -3766.04 -4069.84 yes 100.00%
fw -3766.04 -inf yes 100.00%
ga 3268.46 -inf no 10.00%
hbp -3766.04 -3793.89 yes 100.00%
ipfps 3268.46 -inf no 10.00%
ipfpu 3268.46 -inf no 10.00%
lsm 2888.05 -inf no 20.00%
mp -3766.04 -3766.04 yes 100.00%
mp-fw -3766.04 -3766.04 yes 100.00%
mpm 1955.68 -inf no 40.00%
mp-mcf -3766.04 -3766.04 yes 100.00%
pm 3358.08 -inf no 6.67%
rrwm 2612.45 -inf no 10.00%
sm 3424.99 -inf no 6.67%
smac 4098.11 -inf no 20.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: