A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “flow5”

This page shows the benchmarks results for the dataset instance “flow5”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3288.51.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3062.2 -3327.93 no –
dd-ls3 -2662.48 -3391.66 no –
dd-ls4 -2386.47 -3439.15 no –
fgmd inf -inf no –
fm-bca -3288.51 -3371.12 yes –
fm -3288.51 -4010.3 yes –
fw -3288.51 -inf yes –
ga inf -inf no –
hbp inf -inf no –
ipfps -1317.16 -inf no –
ipfpu 0 -inf no –
lsm inf -inf no –
mp -2798.97 -3373.52 no –
mp-fw -3288.51 -3448.03 yes –
mpm inf -inf no –
mp-mcf -2771.92 -3383.2 no –
pm -92.2078 -inf no –
rrwm -1180.62 -inf no –
sm -403.014 -inf no –
smac 0 -inf no –

Run time 10s

method value bound optimal accuracy
dd-ls0 -3277.98 -3295.87 no –
dd-ls3 -3288.51 -3288.51 yes –
dd-ls4 -3288.51 -3288.51 yes –
fgmd inf -inf no –
fm-bca -3288.51 -3358.05 yes –
fm -3288.51 -4010.3 yes –
fw -3288.51 -inf yes –
ga inf -inf no –
hbp inf -inf no –
ipfps -1317.16 -inf no –
ipfpu 0 -inf no –
lsm -39.3708 -inf no –
mp -2827.46 -3372.77 no –
mp-fw -3288.51 -3413.74 yes –
mpm inf -inf no –
mp-mcf -2990.74 -3341.14 no –
pm -92.2078 -inf no –
rrwm -1180.62 -inf no –
sm -403.014 -inf no –
smac 0 -inf no –

Run time 100s

method value bound optimal accuracy
dd-ls0 -3277.98 -3295.87 no –
dd-ls3 -3288.51 -3288.51 yes –
dd-ls4 -3288.51 -3288.51 yes –
fgmd inf -inf no –
fm-bca -3288.51 -3358.05 yes –
fm -3288.51 -4010.3 yes –
fw -3288.51 -inf yes –
ga -3070.42 -inf no –
hbp inf -inf no –
ipfps -1317.16 -inf no –
ipfpu 0 -inf no –
lsm -39.3708 -inf no –
mp -2915.41 -3372.77 no –
mp-fw -3288.51 -3336.1 yes –
mpm inf -inf no –
mp-mcf -3034.39 -3317.95 no –
pm -92.2078 -inf no –
rrwm -1180.62 -inf no –
sm -403.014 -inf no –
smac 0 -inf no –

Run time 300s

method value bound optimal accuracy
dd-ls0 -3277.98 -3295.87 no –
dd-ls3 -3288.51 -3288.51 yes –
dd-ls4 -3288.51 -3288.51 yes –
fgmd inf -inf no –
fm-bca -3288.51 -3358.05 yes –
fm -3288.51 -4010.3 yes –
fw -3288.51 -inf yes –
ga -3070.42 -inf no –
hbp inf -inf no –
ipfps -1317.16 -inf no –
ipfpu 0 -inf no –
lsm -39.3708 -inf no –
mp -2915.41 -3372.77 no –
mp-fw -3288.51 -3331.36 yes –
mpm inf -inf no –
mp-mcf -3148.76 -3311.39 no –
pm -92.2078 -inf no –
rrwm -1180.62 -inf no –
sm -403.014 -inf no –
smac 0 -inf no –

Other Results for this Dataset

Accumulated results for whole dataset: flow

Results for individual instances of the dataset: