A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense101”

This page shows the benchmarks results for the dataset instance “house-dense101”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3794.07.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3794.07 -3794.51 yes 100.00%
dd-ls3 -3794.07 -3794.15 yes 100.00%
dd-ls4 -3794.07 -3804.37 yes 100.00%
fgmd inf -inf no
fm-bca -3794.07 -3794.07 yes 100.00%
fm -3794.07 -4077.47 yes 100.00%
fw -3794.07 -inf yes 100.00%
ga 3056.61 -inf no 3.33%
hbp -3794.07 -3824.93 yes 100.00%
ipfps 3892.15 -inf no 6.67%
ipfpu 3892.15 -inf no 6.67%
lsm inf -inf no
mp -3794.07 -3799.67 yes 100.00%
mp-fw -3794.07 -3868.74 yes 100.00%
mpm 54.5491 -inf no 50.00%
mp-mcf -3524.32 -3864.09 no 86.67%
pm 3277 -inf no 16.67%
rrwm 3056.61 -inf no 3.33%
sm 3852.9 -inf no 6.67%
smac 1172.74 -inf no 23.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3794.07 -3794.51 yes 100.00%
dd-ls3 -3794.07 -3794.15 yes 100.00%
dd-ls4 -3794.07 -3794.1 yes 100.00%
fgmd inf -inf no
fm-bca -3794.07 -3794.07 yes 100.00%
fm -3794.07 -4077.47 yes 100.00%
fw -3794.07 -inf yes 100.00%
ga 3056.61 -inf no 3.33%
hbp -3794.07 -3824.93 yes 100.00%
ipfps 3892.15 -inf no 6.67%
ipfpu 3892.15 -inf no 6.67%
lsm 1000.35 -inf no 23.33%
mp -3794.07 -3794.07 yes 100.00%
mp-fw -3794.07 -3803.81 yes 100.00%
mpm 54.5491 -inf no 50.00%
mp-mcf -3794.07 -3799.98 yes 100.00%
pm 3277 -inf no 16.67%
rrwm 3056.61 -inf no 3.33%
sm 3852.9 -inf no 6.67%
smac 1172.74 -inf no 23.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3794.07 -3794.51 yes 100.00%
dd-ls3 -3794.07 -3794.15 yes 100.00%
dd-ls4 -3794.07 -3794.1 yes 100.00%
fgmd -3794.07 -inf yes 100.00%
fm-bca -3794.07 -3794.07 yes 100.00%
fm -3794.07 -4077.47 yes 100.00%
fw -3794.07 -inf yes 100.00%
ga 3056.61 -inf no 3.33%
hbp -3794.07 -3824.93 yes 100.00%
ipfps 3892.15 -inf no 6.67%
ipfpu 3892.15 -inf no 6.67%
lsm 1000.35 -inf no 23.33%
mp -3794.07 -3794.07 yes 100.00%
mp-fw -3794.07 -3794.07 yes 100.00%
mpm 54.5491 -inf no 50.00%
mp-mcf -3794.07 -3794.07 yes 100.00%
pm 3277 -inf no 16.67%
rrwm 3056.61 -inf no 3.33%
sm 3852.9 -inf no 6.67%
smac 1172.74 -inf no 23.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3794.07 -3794.51 yes 100.00%
dd-ls3 -3794.07 -3794.15 yes 100.00%
dd-ls4 -3794.07 -3794.1 yes 100.00%
fgmd -3794.07 -inf yes 100.00%
fm-bca -3794.07 -3794.07 yes 100.00%
fm -3794.07 -4077.47 yes 100.00%
fw -3794.07 -inf yes 100.00%
ga 3056.61 -inf no 3.33%
hbp -3794.07 -3824.93 yes 100.00%
ipfps 3892.15 -inf no 6.67%
ipfpu 3892.15 -inf no 6.67%
lsm 1000.35 -inf no 23.33%
mp -3794.07 -3794.07 yes 100.00%
mp-fw -3794.07 -3794.07 yes 100.00%
mpm 54.5491 -inf no 50.00%
mp-mcf -3794.07 -3794.07 yes 100.00%
pm 3277 -inf no 16.67%
rrwm 3056.61 -inf no 3.33%
sm 3852.9 -inf no 6.67%
smac 1172.74 -inf no 23.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: