A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense28”

This page shows the benchmarks results for the dataset instance “house-dense28”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3764.02.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3764.02 -3766.41 yes 100.00%
dd-ls3 -3764.02 -3764.97 yes 100.00%
dd-ls4 -3764.02 -3793.91 yes 100.00%
fgmd inf -inf no
fm-bca -3764.02 -3770.35 yes 100.00%
fm -3764.02 -4094.72 yes 100.00%
fw -3764.02 -inf yes 100.00%
ga 3707.87 -inf no 10.00%
hbp -3764.02 -3794.28 yes 100.00%
ipfps 3670.34 -inf no 10.00%
ipfpu 3670.34 -inf no 10.00%
lsm inf -inf no
mp -3764.02 -3772.97 yes 100.00%
mp-fw -3764.02 -3865.47 yes 100.00%
mpm 2746.34 -inf no 46.67%
mp-mcf -3499.11 -3825.47 no 86.67%
pm 3354.3 -inf no 13.33%
rrwm 2739.61 -inf no 13.33%
sm 3787.85 -inf no 10.00%
smac 3938.52 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3764.02 -3766.41 yes 100.00%
dd-ls3 -3764.02 -3764.97 yes 100.00%
dd-ls4 -3764.02 -3764.12 yes 100.00%
fgmd inf -inf no
fm-bca -3764.02 -3764.02 yes 100.00%
fm -3764.02 -4094.72 yes 100.00%
fw -3764.02 -inf yes 100.00%
ga 3707.87 -inf no 10.00%
hbp -3764.02 -3794.28 yes 100.00%
ipfps 3670.34 -inf no 10.00%
ipfpu 3670.34 -inf no 10.00%
lsm 3145.53 -inf no 10.00%
mp -3764.02 -3768.06 yes 100.00%
mp-fw -3764.02 -3784.41 yes 100.00%
mpm 2746.34 -inf no 46.67%
mp-mcf -3764.02 -3764.02 yes 100.00%
pm 3354.3 -inf no 13.33%
rrwm 2739.61 -inf no 13.33%
sm 3787.85 -inf no 10.00%
smac 3938.52 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3764.02 -3766.41 yes 100.00%
dd-ls3 -3764.02 -3764.97 yes 100.00%
dd-ls4 -3764.02 -3764.12 yes 100.00%
fgmd -3764.02 -inf yes 100.00%
fm-bca -3764.02 -3764.02 yes 100.00%
fm -3764.02 -4094.72 yes 100.00%
fw -3764.02 -inf yes 100.00%
ga 3707.87 -inf no 10.00%
hbp -3764.02 -3794.28 yes 100.00%
ipfps 3670.34 -inf no 10.00%
ipfpu 3670.34 -inf no 10.00%
lsm 3145.53 -inf no 10.00%
mp -3764.02 -3768.06 yes 100.00%
mp-fw -3764.02 -3764.02 yes 100.00%
mpm 2746.34 -inf no 46.67%
mp-mcf -3764.02 -3764.02 yes 100.00%
pm 3354.3 -inf no 13.33%
rrwm 2739.61 -inf no 13.33%
sm 3787.85 -inf no 10.00%
smac 3938.52 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3764.02 -3766.41 yes 100.00%
dd-ls3 -3764.02 -3764.97 yes 100.00%
dd-ls4 -3764.02 -3764.12 yes 100.00%
fgmd -3764.02 -inf yes 100.00%
fm-bca -3764.02 -3764.02 yes 100.00%
fm -3764.02 -4094.72 yes 100.00%
fw -3764.02 -inf yes 100.00%
ga 3707.87 -inf no 10.00%
hbp -3764.02 -3794.28 yes 100.00%
ipfps 3670.34 -inf no 10.00%
ipfpu 3670.34 -inf no 10.00%
lsm 3145.53 -inf no 10.00%
mp -3764.02 -3768.06 yes 100.00%
mp-fw -3764.02 -3764.02 yes 100.00%
mpm 2746.34 -inf no 46.67%
mp-mcf -3764.02 -3764.02 yes 100.00%
pm 3354.3 -inf no 13.33%
rrwm 2739.61 -inf no 13.33%
sm 3787.85 -inf no 10.00%
smac 3938.52 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: