A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-sparse29”

This page shows the benchmarks results for the dataset instance “house-sparse29”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -66.9101.

Run time 1s

method value bound optimal accuracy
dd-ls0 -66.9101 -66.927 yes 100.00%
dd-ls3 -66.9101 -66.9103 yes 100.00%
dd-ls4 -66.9101 -72.0141 yes 100.00%
fgmd inf -inf no
fm-bca -66.9101 -66.9101 yes 100.00%
fm -66.9101 -78.8697 yes 100.00%
fw 0 -inf no 0.00%
ga -66.9101 -inf yes 100.00%
hbp -66.9101 -66.9708 yes 100.00%
ipfps -66.9101 -inf yes 100.00%
ipfpu -66.9101 -inf yes 100.00%
lsm -66.9101 -inf yes 100.00%
mp -66.9101 -66.9101 yes 100.00%
mp-fw -66.9101 -66.9101 yes 100.00%
mpm -62.3463 -inf no 90.00%
mp-mcf -66.9101 -66.9101 yes 100.00%
pm -56.0179 -inf no 86.67%
rrwm -66.9101 -inf yes 100.00%
sm -66.9101 -inf yes 100.00%
smac -11.3325 -inf no 0.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -66.9101 -66.927 yes 100.00%
dd-ls3 -66.9101 -66.9103 yes 100.00%
dd-ls4 -66.9101 -66.9138 yes 100.00%
fgmd -66.9101 -inf yes 100.00%
fm-bca -66.9101 -66.9101 yes 100.00%
fm -66.9101 -78.8697 yes 100.00%
fw 0 -inf no 0.00%
ga -66.9101 -inf yes 100.00%
hbp -66.9101 -66.9708 yes 100.00%
ipfps -66.9101 -inf yes 100.00%
ipfpu -66.9101 -inf yes 100.00%
lsm -66.9101 -inf yes 100.00%
mp -66.9101 -66.9101 yes 100.00%
mp-fw -66.9101 -66.9101 yes 100.00%
mpm -62.3463 -inf no 90.00%
mp-mcf -66.9101 -66.9101 yes 100.00%
pm -56.0179 -inf no 86.67%
rrwm -66.9101 -inf yes 100.00%
sm -66.9101 -inf yes 100.00%
smac -11.3325 -inf no 0.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -66.9101 -66.927 yes 100.00%
dd-ls3 -66.9101 -66.9103 yes 100.00%
dd-ls4 -66.9101 -66.9138 yes 100.00%
fgmd -66.9101 -inf yes 100.00%
fm-bca -66.9101 -66.9101 yes 100.00%
fm -66.9101 -78.8697 yes 100.00%
fw 0 -inf no 0.00%
ga -66.9101 -inf yes 100.00%
hbp -66.9101 -66.9708 yes 100.00%
ipfps -66.9101 -inf yes 100.00%
ipfpu -66.9101 -inf yes 100.00%
lsm -66.9101 -inf yes 100.00%
mp -66.9101 -66.9101 yes 100.00%
mp-fw -66.9101 -66.9101 yes 100.00%
mpm -62.3463 -inf no 90.00%
mp-mcf -66.9101 -66.9101 yes 100.00%
pm -56.0179 -inf no 86.67%
rrwm -66.9101 -inf yes 100.00%
sm -66.9101 -inf yes 100.00%
smac -11.3325 -inf no 0.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -66.9101 -66.927 yes 100.00%
dd-ls3 -66.9101 -66.9103 yes 100.00%
dd-ls4 -66.9101 -66.9138 yes 100.00%
fgmd -66.9101 -inf yes 100.00%
fm-bca -66.9101 -66.9101 yes 100.00%
fm -66.9101 -78.8697 yes 100.00%
fw 0 -inf no 0.00%
ga -66.9101 -inf yes 100.00%
hbp -66.9101 -66.9708 yes 100.00%
ipfps -66.9101 -inf yes 100.00%
ipfpu -66.9101 -inf yes 100.00%
lsm -66.9101 -inf yes 100.00%
mp -66.9101 -66.9101 yes 100.00%
mp-fw -66.9101 -66.9101 yes 100.00%
mpm -62.3463 -inf no 90.00%
mp-mcf -66.9101 -66.9101 yes 100.00%
pm -56.0179 -inf no 86.67%
rrwm -66.9101 -inf yes 100.00%
sm -66.9101 -inf yes 100.00%
smac -11.3325 -inf no 0.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-sparse

Results for individual instances of the dataset: