A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “caltech-small20”

This page shows the benchmarks results for the dataset instance “caltech-small20”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -1602.33.

Run time 1s

method value bound optimal accuracy
dd-ls0 -1602.33 -1602.33 yes 45.45%
dd-ls3 -1602.33 -1602.48 yes 45.45%
dd-ls4 -1602.33 -1602.34 yes 45.45%
fgmd inf -inf no
fm-bca -1602.33 -2128.66 yes 45.45%
fm -1602.33 -6714.46 yes 45.45%
fw 0 -inf no 0.00%
ga inf -inf no
hbp inf -inf no
ipfps -1557.29 -inf no 54.55%
ipfpu -1552.49 -inf no 54.55%
lsm 0 -inf no 0.00%
mp -1581.47 -2120.97 no 54.55%
mp-fw -1602.33 -2013.92 yes 45.45%
mpm -889.039 -inf no 36.36%
mp-mcf -1551.04 -1877.66 no 54.55%
pm -1438.61 -inf no 45.45%
rrwm -1557.29 -inf no 54.55%
sm -1174.16 -inf no 36.36%
smac -1287.41 -inf no 63.64%

Run time 10s

method value bound optimal accuracy
dd-ls0 -1602.33 -1602.33 yes 45.45%
dd-ls3 -1602.33 -1602.48 yes 45.45%
dd-ls4 -1602.33 -1602.34 yes 45.45%
fgmd -1602.33 -inf yes 45.45%
fm-bca -1602.33 -2128.66 yes 45.45%
fm -1602.33 -6714.46 yes 45.45%
fw 0 -inf no 0.00%
ga -1195.84 -inf no 63.64%
hbp inf -inf no
ipfps -1557.29 -inf no 54.55%
ipfpu -1552.49 -inf no 54.55%
lsm 0 -inf no 0.00%
mp -1581.47 -2120.97 no 54.55%
mp-fw -1602.33 -1841.63 yes 45.45%
mpm -889.039 -inf no 36.36%
mp-mcf -1593.43 -1839.15 no 54.55%
pm -1438.61 -inf no 45.45%
rrwm -1557.29 -inf no 54.55%
sm -1174.16 -inf no 36.36%
smac -1287.41 -inf no 63.64%

Run time 100s

method value bound optimal accuracy
dd-ls0 -1602.33 -1602.33 yes 45.45%
dd-ls3 -1602.33 -1602.48 yes 45.45%
dd-ls4 -1602.33 -1602.34 yes 45.45%
fgmd -1602.33 -inf yes 45.45%
fm-bca -1602.33 -2128.66 yes 45.45%
fm -1602.33 -6714.46 yes 45.45%
fw 0 -inf no 0.00%
ga -1195.84 -inf no 63.64%
hbp -1601.8 -1939.83 yes 45.45%
ipfps -1557.29 -inf no 54.55%
ipfpu -1552.49 -inf no 54.55%
lsm 0 -inf no 0.00%
mp -1581.47 -2120.97 no 54.55%
mp-fw -1602.33 -1840.31 yes 45.45%
mpm -889.039 -inf no 36.36%
mp-mcf -1593.43 -1835.91 no 54.55%
pm -1438.61 -inf no 45.45%
rrwm -1557.29 -inf no 54.55%
sm -1174.16 -inf no 36.36%
smac -1287.41 -inf no 63.64%

Run time 300s

method value bound optimal accuracy
dd-ls0 -1602.33 -1602.33 yes 45.45%
dd-ls3 -1602.33 -1602.48 yes 45.45%
dd-ls4 -1602.33 -1602.34 yes 45.45%
fgmd -1602.33 -inf yes 45.45%
fm-bca -1602.33 -2128.66 yes 45.45%
fm -1602.33 -6714.46 yes 45.45%
fw 0 -inf no 0.00%
ga -1195.84 -inf no 63.64%
hbp -1601.8 -1939.83 yes 45.45%
ipfps -1557.29 -inf no 54.55%
ipfpu -1552.49 -inf no 54.55%
lsm 0 -inf no 0.00%
mp -1581.47 -2120.97 no 54.55%
mp-fw -1602.33 -1840.31 yes 45.45%
mpm -889.039 -inf no 36.36%
mp-mcf -1593.43 -1834.01 no 54.55%
pm -1438.61 -inf no 45.45%
rrwm -1557.29 -inf no 54.55%
sm -1174.16 -inf no 36.36%
smac -1287.41 -inf no 63.64%

Other Results for this Dataset

Accumulated results for whole dataset: caltech-small

Results for individual instances of the dataset: