A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense77”

This page shows the benchmarks results for the dataset instance “house-dense77”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3775.96.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3775.96 -3776.05 yes 100.00%
dd-ls3 -3775.96 -3776.08 yes 100.00%
dd-ls4 -3775.96 -3791.76 yes 100.00%
fgmd inf -inf no
fm-bca -3775.96 -3775.96 yes 100.00%
fm -3775.96 -4058.16 yes 100.00%
fw -3775.96 -inf yes 100.00%
ga 2620.52 -inf no 6.67%
hbp -3775.96 -3799.61 yes 100.00%
ipfps 3194.77 -inf no 6.67%
ipfpu 3194.77 -inf no 6.67%
lsm inf -inf no
mp -3775.96 -3775.96 yes 100.00%
mp-fw -3775.96 -3830.12 yes 100.00%
mpm 646.312 -inf no 53.33%
mp-mcf -3542.21 -3808.77 no 90.00%
pm 2675.88 -inf no 16.67%
rrwm 2095.39 -inf no 10.00%
sm 3635.7 -inf no 10.00%
smac 950.903 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3775.96 -3776.05 yes 100.00%
dd-ls3 -3775.96 -3776.08 yes 100.00%
dd-ls4 -3775.96 -3776.33 yes 100.00%
fgmd inf -inf no
fm-bca -3775.96 -3775.96 yes 100.00%
fm -3775.96 -4058.16 yes 100.00%
fw -3775.96 -inf yes 100.00%
ga 2620.52 -inf no 6.67%
hbp -3775.96 -3799.61 yes 100.00%
ipfps 3194.77 -inf no 6.67%
ipfpu 3194.77 -inf no 6.67%
lsm 2455.68 -inf no 16.67%
mp -3775.96 -3775.96 yes 100.00%
mp-fw -3775.96 -3777.77 yes 100.00%
mpm 646.312 -inf no 53.33%
mp-mcf -3775.96 -3775.96 yes 100.00%
pm 2675.88 -inf no 16.67%
rrwm 2095.39 -inf no 10.00%
sm 3635.7 -inf no 10.00%
smac 950.903 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3775.96 -3776.05 yes 100.00%
dd-ls3 -3775.96 -3776.08 yes 100.00%
dd-ls4 -3775.96 -3776.33 yes 100.00%
fgmd -3775.96 -inf yes 100.00%
fm-bca -3775.96 -3775.96 yes 100.00%
fm -3775.96 -4058.16 yes 100.00%
fw -3775.96 -inf yes 100.00%
ga 2620.52 -inf no 6.67%
hbp -3775.96 -3799.61 yes 100.00%
ipfps 3194.77 -inf no 6.67%
ipfpu 3194.77 -inf no 6.67%
lsm 2455.68 -inf no 16.67%
mp -3775.96 -3775.96 yes 100.00%
mp-fw -3775.96 -3775.96 yes 100.00%
mpm 646.312 -inf no 53.33%
mp-mcf -3775.96 -3775.96 yes 100.00%
pm 2675.88 -inf no 16.67%
rrwm 2095.39 -inf no 10.00%
sm 3635.7 -inf no 10.00%
smac 950.903 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3775.96 -3776.05 yes 100.00%
dd-ls3 -3775.96 -3776.08 yes 100.00%
dd-ls4 -3775.96 -3776.33 yes 100.00%
fgmd -3775.96 -inf yes 100.00%
fm-bca -3775.96 -3775.96 yes 100.00%
fm -3775.96 -4058.16 yes 100.00%
fw -3775.96 -inf yes 100.00%
ga 2620.52 -inf no 6.67%
hbp -3775.96 -3799.61 yes 100.00%
ipfps 3194.77 -inf no 6.67%
ipfpu 3194.77 -inf no 6.67%
lsm 2455.68 -inf no 16.67%
mp -3775.96 -3775.96 yes 100.00%
mp-fw -3775.96 -3775.96 yes 100.00%
mpm 646.312 -inf no 53.33%
mp-mcf -3775.96 -3775.96 yes 100.00%
pm 2675.88 -inf no 16.67%
rrwm 2095.39 -inf no 10.00%
sm 3635.7 -inf no 10.00%
smac 950.903 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: