A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “caltech-small18”

This page shows the benchmarks results for the dataset instance “caltech-small18”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -4327.61.

Run time 1s

method value bound optimal accuracy
dd-ls0 -4327.61 -4327.61 yes 70.00%
dd-ls3 -4327.21 -4482.57 yes 70.00%
dd-ls4 -3728.63 -5920.65 no 80.00%
fgmd inf -inf no
fm-bca -4327.61 -5372.57 yes 70.00%
fm -4327.61 -10908.3 yes 70.00%
fw 0 -inf no 0.00%
ga inf -inf no
hbp inf -inf no
ipfps -4078.59 -inf no 60.00%
ipfpu -4127.27 -inf no 40.00%
lsm 0 -inf no 0.00%
mp -4222.38 -5327.22 no 60.00%
mp-fw -4291.8 -5355.33 no 70.00%
mpm -4256.97 -inf no 70.00%
mp-mcf -3954.3 -5310.03 no 30.00%
pm -3373.43 -inf no 50.00%
rrwm -4327.21 -inf yes 70.00%
sm -1621.27 -inf no 10.00%
smac -3143.65 -inf no 30.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -4327.61 -4327.61 yes 70.00%
dd-ls3 -4327.61 -4327.61 yes 70.00%
dd-ls4 -4327.61 -4328.48 yes 70.00%
fgmd inf -inf no
fm-bca -4327.61 -5372.11 yes 70.00%
fm -4327.61 -10908.3 yes 70.00%
fw 0 -inf no 0.00%
ga -4327.21 -inf yes 70.00%
hbp inf -inf no
ipfps -4078.59 -inf no 60.00%
ipfpu -4127.27 -inf no 40.00%
lsm 0 -inf no 0.00%
mp -4248.72 -5327.22 no 70.00%
mp-fw -4291.8 -5010.42 no 70.00%
mpm -4256.97 -inf no 70.00%
mp-mcf -3954.3 -4969.37 no 30.00%
pm -3373.43 -inf no 50.00%
rrwm -4327.21 -inf yes 70.00%
sm -1621.27 -inf no 10.00%
smac -3143.65 -inf no 30.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -4327.61 -4327.61 yes 70.00%
dd-ls3 -4327.61 -4327.61 yes 70.00%
dd-ls4 -4327.61 -4327.61 yes 70.00%
fgmd -4327.21 -inf yes 70.00%
fm-bca -4327.61 -5372.11 yes 70.00%
fm -4327.61 -10908.3 yes 70.00%
fw 0 -inf no 0.00%
ga -4327.21 -inf yes 70.00%
hbp -3620.78 -6694.4 no 80.00%
ipfps -4078.59 -inf no 60.00%
ipfpu -4127.27 -inf no 40.00%
lsm 0 -inf no 0.00%
mp -4248.72 -5327.22 no 70.00%
mp-fw -4291.8 -4718.82 no 70.00%
mpm -4256.97 -inf no 70.00%
mp-mcf -4151.85 -4715.63 no 50.00%
pm -3373.43 -inf no 50.00%
rrwm -4327.21 -inf yes 70.00%
sm -1621.27 -inf no 10.00%
smac -3143.65 -inf no 30.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -4327.61 -4327.61 yes 70.00%
dd-ls3 -4327.61 -4327.61 yes 70.00%
dd-ls4 -4327.61 -4327.61 yes 70.00%
fgmd -4327.21 -inf yes 70.00%
fm-bca -4327.61 -5372.11 yes 70.00%
fm -4327.61 -10908.3 yes 70.00%
fw 0 -inf no 0.00%
ga -4327.21 -inf yes 70.00%
hbp -3620.78 -6694.4 no 80.00%
ipfps -4078.59 -inf no 60.00%
ipfpu -4127.27 -inf no 40.00%
lsm 0 -inf no 0.00%
mp -4248.72 -5327.22 no 70.00%
mp-fw -4291.8 -4628.27 no 70.00%
mpm -4256.97 -inf no 70.00%
mp-mcf -4151.85 -4626.48 no 50.00%
pm -3373.43 -inf no 50.00%
rrwm -4327.21 -inf yes 70.00%
sm -1621.27 -inf no 10.00%
smac -3143.65 -inf no 30.00%

Other Results for this Dataset

Accumulated results for whole dataset: caltech-small

Results for individual instances of the dataset: