A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-sparse34”

This page shows the benchmarks results for the dataset instance “house-sparse34”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -67.8849.

Run time 1s

method value bound optimal accuracy
dd-ls0 -67.8849 -67.8996 yes 100.00%
dd-ls3 -67.8849 -67.8919 yes 100.00%
dd-ls4 -67.8849 -71.8192 yes 100.00%
fgmd inf -inf no
fm-bca -67.8849 -67.8849 yes 100.00%
fm -67.8849 -78.8445 yes 100.00%
fw 0 -inf no 0.00%
ga -67.8849 -inf yes 100.00%
hbp -67.8849 -67.908 yes 100.00%
ipfps -67.8849 -inf yes 100.00%
ipfpu -67.8849 -inf yes 100.00%
lsm -67.8849 -inf yes 100.00%
mp -67.8849 -67.8849 yes 100.00%
mp-fw -67.8849 -67.8849 yes 100.00%
mpm -60.7092 -inf no 90.00%
mp-mcf -67.8849 -67.8849 yes 100.00%
pm -56.9939 -inf no 86.67%
rrwm -67.8849 -inf yes 100.00%
sm -67.8849 -inf yes 100.00%
smac -67.8849 -inf yes 100.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -67.8849 -67.8996 yes 100.00%
dd-ls3 -67.8849 -67.8919 yes 100.00%
dd-ls4 -67.8849 -67.8889 yes 100.00%
fgmd -67.8849 -inf yes 100.00%
fm-bca -67.8849 -67.8849 yes 100.00%
fm -67.8849 -78.8445 yes 100.00%
fw 0 -inf no 0.00%
ga -67.8849 -inf yes 100.00%
hbp -67.8849 -67.908 yes 100.00%
ipfps -67.8849 -inf yes 100.00%
ipfpu -67.8849 -inf yes 100.00%
lsm -67.8849 -inf yes 100.00%
mp -67.8849 -67.8849 yes 100.00%
mp-fw -67.8849 -67.8849 yes 100.00%
mpm -60.7092 -inf no 90.00%
mp-mcf -67.8849 -67.8849 yes 100.00%
pm -56.9939 -inf no 86.67%
rrwm -67.8849 -inf yes 100.00%
sm -67.8849 -inf yes 100.00%
smac -67.8849 -inf yes 100.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -67.8849 -67.8996 yes 100.00%
dd-ls3 -67.8849 -67.8919 yes 100.00%
dd-ls4 -67.8849 -67.8889 yes 100.00%
fgmd -67.8849 -inf yes 100.00%
fm-bca -67.8849 -67.8849 yes 100.00%
fm -67.8849 -78.8445 yes 100.00%
fw 0 -inf no 0.00%
ga -67.8849 -inf yes 100.00%
hbp -67.8849 -67.908 yes 100.00%
ipfps -67.8849 -inf yes 100.00%
ipfpu -67.8849 -inf yes 100.00%
lsm -67.8849 -inf yes 100.00%
mp -67.8849 -67.8849 yes 100.00%
mp-fw -67.8849 -67.8849 yes 100.00%
mpm -60.7092 -inf no 90.00%
mp-mcf -67.8849 -67.8849 yes 100.00%
pm -56.9939 -inf no 86.67%
rrwm -67.8849 -inf yes 100.00%
sm -67.8849 -inf yes 100.00%
smac -67.8849 -inf yes 100.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -67.8849 -67.8996 yes 100.00%
dd-ls3 -67.8849 -67.8919 yes 100.00%
dd-ls4 -67.8849 -67.8889 yes 100.00%
fgmd -67.8849 -inf yes 100.00%
fm-bca -67.8849 -67.8849 yes 100.00%
fm -67.8849 -78.8445 yes 100.00%
fw 0 -inf no 0.00%
ga -67.8849 -inf yes 100.00%
hbp -67.8849 -67.908 yes 100.00%
ipfps -67.8849 -inf yes 100.00%
ipfpu -67.8849 -inf yes 100.00%
lsm -67.8849 -inf yes 100.00%
mp -67.8849 -67.8849 yes 100.00%
mp-fw -67.8849 -67.8849 yes 100.00%
mpm -60.7092 -inf no 90.00%
mp-mcf -67.8849 -67.8849 yes 100.00%
pm -56.9939 -inf no 86.67%
rrwm -67.8849 -inf yes 100.00%
sm -67.8849 -inf yes 100.00%
smac -67.8849 -inf yes 100.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-sparse

Results for individual instances of the dataset: