A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “caltech-large2”

This page shows the benchmarks results for the dataset instance “caltech-large2”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -31056.7.

Run time 1s

method value bound optimal accuracy
dd-ls0 -30960.1 -31557.4 no 77.42%
dd-ls3 -27463.3 -42537.1 no 67.74%
dd-ls4 -28258.2 -47129 no 67.74%
fgmd inf -inf no
fm-bca -30985.7 -35290.7 no 70.97%
fm -30985.7 -98592.8 no 70.97%
fw 0 -inf no 0.00%
ga inf -inf no
hbp inf -inf no
ipfps -30962.1 -inf no 70.97%
ipfpu -30958.7 -inf no 70.97%
lsm inf -inf no
mp -29873.3 -34749 no 70.97%
mp-fw -31014.4 -36692.6 no 74.19%
mpm inf -inf no
mp-mcf -30337.8 -35774.6 no 70.97%
pm -25247.6 -inf no 64.52%
rrwm -30985.7 -inf no 70.97%
sm -11518.8 -inf no 38.71%
smac -22842.8 -inf no 54.84%

Run time 10s

method value bound optimal accuracy
dd-ls0 -31056.7 -31056.7 yes 77.42%
dd-ls3 -31052.2 -31198.9 yes 77.42%
dd-ls4 -28258.2 -38450.3 no 67.74%
fgmd inf -inf no
fm-bca -30985.7 -35284 no 70.97%
fm -30985.7 -98592.8 no 70.97%
fw 0 -inf no 0.00%
ga inf -inf no
hbp inf -inf no
ipfps -30962.1 -inf no 70.97%
ipfpu -30958.7 -inf no 70.97%
lsm 0 -inf no 0.00%
mp -30333 -34729.7 no 74.19%
mp-fw -31014.4 -35851.2 no 74.19%
mpm inf -inf no
mp-mcf -30337.8 -34582.1 no 70.97%
pm -25247.6 -inf no 64.52%
rrwm -30985.7 -inf no 70.97%
sm -11518.8 -inf no 38.71%
smac -22842.8 -inf no 54.84%

Run time 100s

method value bound optimal accuracy
dd-ls0 -31056.7 -31056.7 yes 77.42%
dd-ls3 -31056.7 -31056.7 yes 77.42%
dd-ls4 -31056.7 -31059 yes 77.42%
fgmd inf -inf no
fm-bca -30985.7 -35284 no 70.97%
fm -30985.7 -98592.8 no 70.97%
fw 0 -inf no 0.00%
ga -30326.8 -inf no 77.42%
hbp inf -inf no
ipfps -30962.1 -inf no 70.97%
ipfpu -30958.7 -inf no 70.97%
lsm 0 -inf no 0.00%
mp -30463.7 -34727.2 no 70.97%
mp-fw -31046 -34689.2 yes 74.19%
mpm -30254 -inf no 70.97%
mp-mcf -30371 -33128.1 no 67.74%
pm -25247.6 -inf no 64.52%
rrwm -30985.7 -inf no 70.97%
sm -11518.8 -inf no 38.71%
smac -22842.8 -inf no 54.84%

Run time 300s

method value bound optimal accuracy
dd-ls0 -31056.7 -31056.7 yes 77.42%
dd-ls3 -31056.7 -31056.7 yes 77.42%
dd-ls4 -31056.7 -31056.7 yes 77.42%
fgmd inf -inf no
fm-bca -31046 -35284 yes 74.19%
fm -30985.7 -98592.8 no 70.97%
fw 0 -inf no 0.00%
ga -30326.8 -inf no 77.42%
hbp inf -inf no
ipfps -30962.1 -inf no 70.97%
ipfpu -30958.7 -inf no 70.97%
lsm 0 -inf no 0.00%
mp -30504.3 -34727.2 no 74.19%
mp-fw -31056.7 -33118.6 yes 77.42%
mpm -30254 -inf no 70.97%
mp-mcf -30520.8 -32656.1 no 70.97%
pm -25247.6 -inf no 64.52%
rrwm -30985.7 -inf no 70.97%
sm -11518.8 -inf no 38.71%
smac -22842.8 -inf no 54.84%

Other Results for this Dataset

Accumulated results for whole dataset: caltech-large

Results for individual instances of the dataset: