A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “caltech-small4”

This page shows the benchmarks results for the dataset instance “caltech-small4”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -897.621.

Run time 1s

method value bound optimal accuracy
dd-ls0 -897.621 -897.621 yes 50.00%
dd-ls3 -897.621 -897.621 yes 50.00%
dd-ls4 -897.621 -897.621 yes 50.00%
fgmd inf -inf no
fm-bca -897.621 -1317.15 yes 50.00%
fm -897.621 -2679.83 yes 50.00%
fw 0 -inf no 0.00%
ga -714.143 -inf no 50.00%
hbp inf -inf no
ipfps -897.621 -inf yes 50.00%
ipfpu -894.283 -inf no 50.00%
lsm 0 -inf no 0.00%
mp -897.621 -1321.98 yes 50.00%
mp-fw -897.621 -1053.46 yes 50.00%
mpm -872.096 -inf no 50.00%
mp-mcf -880.473 -1038.94 no 50.00%
pm -872.096 -inf no 50.00%
rrwm -872.096 -inf no 50.00%
sm -224.177 -inf no 12.50%
smac -363.67 -inf no 12.50%

Run time 10s

method value bound optimal accuracy
dd-ls0 -897.621 -897.621 yes 50.00%
dd-ls3 -897.621 -897.621 yes 50.00%
dd-ls4 -897.621 -897.621 yes 50.00%
fgmd -894.283 -inf no 50.00%
fm-bca -897.621 -1317.15 yes 50.00%
fm -897.621 -2679.83 yes 50.00%
fw 0 -inf no 0.00%
ga -714.143 -inf no 50.00%
hbp -897.621 -998.602 yes 50.00%
ipfps -897.621 -inf yes 50.00%
ipfpu -894.283 -inf no 50.00%
lsm 0 -inf no 0.00%
mp -897.621 -1321.98 yes 50.00%
mp-fw -897.621 -1038.68 yes 50.00%
mpm -872.096 -inf no 50.00%
mp-mcf -880.473 -987.514 no 50.00%
pm -872.096 -inf no 50.00%
rrwm -872.096 -inf no 50.00%
sm -224.177 -inf no 12.50%
smac -363.67 -inf no 12.50%

Run time 100s

method value bound optimal accuracy
dd-ls0 -897.621 -897.621 yes 50.00%
dd-ls3 -897.621 -897.621 yes 50.00%
dd-ls4 -897.621 -897.621 yes 50.00%
fgmd -894.283 -inf no 50.00%
fm-bca -897.621 -1317.15 yes 50.00%
fm -897.621 -2679.83 yes 50.00%
fw 0 -inf no 0.00%
ga -714.143 -inf no 50.00%
hbp -897.621 -998.602 yes 50.00%
ipfps -897.621 -inf yes 50.00%
ipfpu -894.283 -inf no 50.00%
lsm 0 -inf no 0.00%
mp -897.621 -1321.98 yes 50.00%
mp-fw -897.621 -982.696 yes 50.00%
mpm -872.096 -inf no 50.00%
mp-mcf -880.473 -982.696 no 50.00%
pm -872.096 -inf no 50.00%
rrwm -872.096 -inf no 50.00%
sm -224.177 -inf no 12.50%
smac -363.67 -inf no 12.50%

Run time 300s

method value bound optimal accuracy
dd-ls0 -897.621 -897.621 yes 50.00%
dd-ls3 -897.621 -897.621 yes 50.00%
dd-ls4 -897.621 -897.621 yes 50.00%
fgmd -894.283 -inf no 50.00%
fm-bca -897.621 -1317.15 yes 50.00%
fm -897.621 -2679.83 yes 50.00%
fw 0 -inf no 0.00%
ga -714.143 -inf no 50.00%
hbp -897.621 -998.602 yes 50.00%
ipfps -897.621 -inf yes 50.00%
ipfpu -894.283 -inf no 50.00%
lsm 0 -inf no 0.00%
mp -897.621 -1321.98 yes 50.00%
mp-fw -897.621 -982.696 yes 50.00%
mpm -872.096 -inf no 50.00%
mp-mcf -880.473 -982.696 no 50.00%
pm -872.096 -inf no 50.00%
rrwm -872.096 -inf no 50.00%
sm -224.177 -inf no 12.50%
smac -363.67 -inf no 12.50%

Other Results for this Dataset

Accumulated results for whole dataset: caltech-small

Results for individual instances of the dataset: