A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “hotel87”

This page shows the benchmarks results for the dataset instance “hotel87”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -4475.54.

Run time 1s

method value bound optimal accuracy
dd-ls0 -4475.54 -4475.94 yes 100.00%
dd-ls3 -4475.54 -4475.79 yes 100.00%
dd-ls4 -4475.54 -4475.69 yes 100.00%
fgmd inf -inf no
fm-bca -4475.54 -4475.54 yes 100.00%
fm -4475.54 -4505 yes 100.00%
fw -4475.54 -inf yes 100.00%
ga 460.278 -inf no 13.33%
hbp -4475.54 -4475.54 yes 100.00%
ipfps 460.278 -inf no 13.33%
ipfpu 597.68 -inf no 16.67%
lsm inf -inf no
mp -4475.54 -4475.54 yes 100.00%
mp-fw -4475.54 -4475.54 yes 100.00%
mpm -2584.2 -inf no 90.00%
mp-mcf -4475.54 -4475.54 yes 100.00%
pm 651.008 -inf no 36.67%
rrwm 490.263 -inf no 13.33%
sm 460.278 -inf no 13.33%
smac -3487.96 -inf no 83.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -4475.54 -4475.94 yes 100.00%
dd-ls3 -4475.54 -4475.79 yes 100.00%
dd-ls4 -4475.54 -4475.69 yes 100.00%
fgmd inf -inf no
fm-bca -4475.54 -4475.54 yes 100.00%
fm -4475.54 -4505 yes 100.00%
fw -4475.54 -inf yes 100.00%
ga 460.278 -inf no 13.33%
hbp -4475.54 -4475.54 yes 100.00%
ipfps 460.278 -inf no 13.33%
ipfpu 597.68 -inf no 16.67%
lsm 1635.31 -inf no 6.67%
mp -4475.54 -4475.54 yes 100.00%
mp-fw -4475.54 -4475.54 yes 100.00%
mpm -2584.2 -inf no 90.00%
mp-mcf -4475.54 -4475.54 yes 100.00%
pm 651.008 -inf no 36.67%
rrwm 490.263 -inf no 13.33%
sm 460.278 -inf no 13.33%
smac -3487.96 -inf no 83.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -4475.54 -4475.94 yes 100.00%
dd-ls3 -4475.54 -4475.79 yes 100.00%
dd-ls4 -4475.54 -4475.69 yes 100.00%
fgmd -4475.54 -inf yes 100.00%
fm-bca -4475.54 -4475.54 yes 100.00%
fm -4475.54 -4505 yes 100.00%
fw -4475.54 -inf yes 100.00%
ga 460.278 -inf no 13.33%
hbp -4475.54 -4475.54 yes 100.00%
ipfps 460.278 -inf no 13.33%
ipfpu 597.68 -inf no 16.67%
lsm 1635.31 -inf no 6.67%
mp -4475.54 -4475.54 yes 100.00%
mp-fw -4475.54 -4475.54 yes 100.00%
mpm -2584.2 -inf no 90.00%
mp-mcf -4475.54 -4475.54 yes 100.00%
pm 651.008 -inf no 36.67%
rrwm 490.263 -inf no 13.33%
sm 460.278 -inf no 13.33%
smac -3487.96 -inf no 83.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -4475.54 -4475.94 yes 100.00%
dd-ls3 -4475.54 -4475.79 yes 100.00%
dd-ls4 -4475.54 -4475.69 yes 100.00%
fgmd -4475.54 -inf yes 100.00%
fm-bca -4475.54 -4475.54 yes 100.00%
fm -4475.54 -4505 yes 100.00%
fw -4475.54 -inf yes 100.00%
ga 460.278 -inf no 13.33%
hbp -4475.54 -4475.54 yes 100.00%
ipfps 460.278 -inf no 13.33%
ipfpu 597.68 -inf no 16.67%
lsm 1635.31 -inf no 6.67%
mp -4475.54 -4475.54 yes 100.00%
mp-fw -4475.54 -4475.54 yes 100.00%
mpm -2584.2 -inf no 90.00%
mp-mcf -4475.54 -4475.54 yes 100.00%
pm 651.008 -inf no 36.67%
rrwm 490.263 -inf no 13.33%
sm 460.278 -inf no 13.33%
smac -3487.96 -inf no 83.33%

Other Results for this Dataset

Accumulated results for whole dataset: hotel

Results for individual instances of the dataset: