A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-sparse101”

This page shows the benchmarks results for the dataset instance “house-sparse101”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -69.6105.

Run time 1s

method value bound optimal accuracy
dd-ls0 -69.6105 -69.6138 yes 100.00%
dd-ls3 -69.6105 -69.6132 yes 100.00%
dd-ls4 -69.6105 -71.3881 yes 100.00%
fgmd inf -inf no
fm-bca -69.6105 -69.6105 yes 100.00%
fm -69.6105 -78.8697 yes 100.00%
fw 0 -inf no 0.00%
ga -69.6105 -inf yes 100.00%
hbp -69.6105 -69.6105 yes 100.00%
ipfps -69.6105 -inf yes 100.00%
ipfpu -69.6105 -inf yes 100.00%
lsm -69.6105 -inf yes 100.00%
mp -69.6105 -69.6105 yes 100.00%
mp-fw -69.6105 -69.6105 yes 100.00%
mpm -61.3305 -inf no 93.33%
mp-mcf -69.6105 -69.6105 yes 100.00%
pm -58.7057 -inf no 86.67%
rrwm -69.6105 -inf yes 100.00%
sm -69.6105 -inf yes 100.00%
smac -51.3375 -inf no 83.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -69.6105 -69.6138 yes 100.00%
dd-ls3 -69.6105 -69.6132 yes 100.00%
dd-ls4 -69.6105 -69.6181 yes 100.00%
fgmd -69.6105 -inf yes 100.00%
fm-bca -69.6105 -69.6105 yes 100.00%
fm -69.6105 -78.8697 yes 100.00%
fw 0 -inf no 0.00%
ga -69.6105 -inf yes 100.00%
hbp -69.6105 -69.6105 yes 100.00%
ipfps -69.6105 -inf yes 100.00%
ipfpu -69.6105 -inf yes 100.00%
lsm -69.6105 -inf yes 100.00%
mp -69.6105 -69.6105 yes 100.00%
mp-fw -69.6105 -69.6105 yes 100.00%
mpm -61.3305 -inf no 93.33%
mp-mcf -69.6105 -69.6105 yes 100.00%
pm -58.7057 -inf no 86.67%
rrwm -69.6105 -inf yes 100.00%
sm -69.6105 -inf yes 100.00%
smac -51.3375 -inf no 83.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -69.6105 -69.6138 yes 100.00%
dd-ls3 -69.6105 -69.6132 yes 100.00%
dd-ls4 -69.6105 -69.6181 yes 100.00%
fgmd -69.6105 -inf yes 100.00%
fm-bca -69.6105 -69.6105 yes 100.00%
fm -69.6105 -78.8697 yes 100.00%
fw 0 -inf no 0.00%
ga -69.6105 -inf yes 100.00%
hbp -69.6105 -69.6105 yes 100.00%
ipfps -69.6105 -inf yes 100.00%
ipfpu -69.6105 -inf yes 100.00%
lsm -69.6105 -inf yes 100.00%
mp -69.6105 -69.6105 yes 100.00%
mp-fw -69.6105 -69.6105 yes 100.00%
mpm -61.3305 -inf no 93.33%
mp-mcf -69.6105 -69.6105 yes 100.00%
pm -58.7057 -inf no 86.67%
rrwm -69.6105 -inf yes 100.00%
sm -69.6105 -inf yes 100.00%
smac -51.3375 -inf no 83.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -69.6105 -69.6138 yes 100.00%
dd-ls3 -69.6105 -69.6132 yes 100.00%
dd-ls4 -69.6105 -69.6181 yes 100.00%
fgmd -69.6105 -inf yes 100.00%
fm-bca -69.6105 -69.6105 yes 100.00%
fm -69.6105 -78.8697 yes 100.00%
fw 0 -inf no 0.00%
ga -69.6105 -inf yes 100.00%
hbp -69.6105 -69.6105 yes 100.00%
ipfps -69.6105 -inf yes 100.00%
ipfpu -69.6105 -inf yes 100.00%
lsm -69.6105 -inf yes 100.00%
mp -69.6105 -69.6105 yes 100.00%
mp-fw -69.6105 -69.6105 yes 100.00%
mpm -61.3305 -inf no 93.33%
mp-mcf -69.6105 -69.6105 yes 100.00%
pm -58.7057 -inf no 86.67%
rrwm -69.6105 -inf yes 100.00%
sm -69.6105 -inf yes 100.00%
smac -51.3375 -inf no 83.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-sparse

Results for individual instances of the dataset: