A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-sparse37”

This page shows the benchmarks results for the dataset instance “house-sparse37”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -66.4162.

Run time 1s

method value bound optimal accuracy
dd-ls0 -66.4162 -66.4243 yes 100.00%
dd-ls3 -66.4162 -66.461 yes 100.00%
dd-ls4 -50.0898 -70.8296 no 80.00%
fgmd inf -inf no
fm-bca -66.4162 -66.4162 yes 100.00%
fm -66.4162 -78.8382 yes 100.00%
fw 0 -inf no 0.00%
ga -66.4162 -inf yes 100.00%
hbp -66.4162 -66.723 yes 100.00%
ipfps -66.4162 -inf yes 100.00%
ipfpu -66.4162 -inf yes 100.00%
lsm -63.2288 -inf no 93.33%
mp -66.4162 -66.4162 yes 100.00%
mp-fw -66.4162 -66.4162 yes 100.00%
mpm -61.6573 -inf no 90.00%
mp-mcf -66.4162 -66.4162 yes 100.00%
pm -53.7297 -inf no 80.00%
rrwm -66.4162 -inf yes 100.00%
sm -66.4162 -inf yes 100.00%
smac -66.4162 -inf yes 100.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -66.4162 -66.4243 yes 100.00%
dd-ls3 -66.4162 -66.4377 yes 100.00%
dd-ls4 -66.4162 -66.4703 yes 100.00%
fgmd -66.4162 -inf yes 100.00%
fm-bca -66.4162 -66.4162 yes 100.00%
fm -66.4162 -78.8382 yes 100.00%
fw 0 -inf no 0.00%
ga -66.4162 -inf yes 100.00%
hbp -66.4162 -66.723 yes 100.00%
ipfps -66.4162 -inf yes 100.00%
ipfpu -66.4162 -inf yes 100.00%
lsm -63.2288 -inf no 93.33%
mp -66.4162 -66.4162 yes 100.00%
mp-fw -66.4162 -66.4162 yes 100.00%
mpm -61.6573 -inf no 90.00%
mp-mcf -66.4162 -66.4162 yes 100.00%
pm -53.7297 -inf no 80.00%
rrwm -66.4162 -inf yes 100.00%
sm -66.4162 -inf yes 100.00%
smac -66.4162 -inf yes 100.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -66.4162 -66.4243 yes 100.00%
dd-ls3 -66.4162 -66.4377 yes 100.00%
dd-ls4 -66.4162 -66.4703 yes 100.00%
fgmd -66.4162 -inf yes 100.00%
fm-bca -66.4162 -66.4162 yes 100.00%
fm -66.4162 -78.8382 yes 100.00%
fw 0 -inf no 0.00%
ga -66.4162 -inf yes 100.00%
hbp -66.4162 -66.723 yes 100.00%
ipfps -66.4162 -inf yes 100.00%
ipfpu -66.4162 -inf yes 100.00%
lsm -63.2288 -inf no 93.33%
mp -66.4162 -66.4162 yes 100.00%
mp-fw -66.4162 -66.4162 yes 100.00%
mpm -61.6573 -inf no 90.00%
mp-mcf -66.4162 -66.4162 yes 100.00%
pm -53.7297 -inf no 80.00%
rrwm -66.4162 -inf yes 100.00%
sm -66.4162 -inf yes 100.00%
smac -66.4162 -inf yes 100.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -66.4162 -66.4243 yes 100.00%
dd-ls3 -66.4162 -66.4377 yes 100.00%
dd-ls4 -66.4162 -66.4703 yes 100.00%
fgmd -66.4162 -inf yes 100.00%
fm-bca -66.4162 -66.4162 yes 100.00%
fm -66.4162 -78.8382 yes 100.00%
fw 0 -inf no 0.00%
ga -66.4162 -inf yes 100.00%
hbp -66.4162 -66.723 yes 100.00%
ipfps -66.4162 -inf yes 100.00%
ipfpu -66.4162 -inf yes 100.00%
lsm -63.2288 -inf no 93.33%
mp -66.4162 -66.4162 yes 100.00%
mp-fw -66.4162 -66.4162 yes 100.00%
mpm -61.6573 -inf no 90.00%
mp-mcf -66.4162 -66.4162 yes 100.00%
pm -53.7297 -inf no 80.00%
rrwm -66.4162 -inf yes 100.00%
sm -66.4162 -inf yes 100.00%
smac -66.4162 -inf yes 100.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-sparse

Results for individual instances of the dataset: