A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “hotel1”

This page shows the benchmarks results for the dataset instance “hotel1”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -4570.58.

Run time 1s

method value bound optimal accuracy
dd-ls0 -4570.58 -4570.83 yes 100.00%
dd-ls3 -4570.58 -4570.59 yes 100.00%
dd-ls4 -4570.58 -4571.55 yes 100.00%
fgmd inf -inf no
fm-bca -4570.58 -4570.58 yes 100.00%
fm -4570.58 -4575.33 yes 100.00%
fw -4570.58 -inf yes 100.00%
ga 938.84 -inf no 10.00%
hbp -4570.58 -4570.58 yes 100.00%
ipfps 1432.34 -inf no 10.00%
ipfpu 1432.34 -inf no 10.00%
lsm -422.531 -inf no 20.00%
mp -4570.58 -4570.58 yes 100.00%
mp-fw -4570.58 -4570.58 yes 100.00%
mpm -4570.58 -inf yes 100.00%
mp-mcf -4570.58 -4570.58 yes 100.00%
pm 625.605 -inf no 36.67%
rrwm 425.128 -inf no 6.67%
sm 1531.88 -inf no 10.00%
smac -3508.48 -inf no 86.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -4570.58 -4570.83 yes 100.00%
dd-ls3 -4570.58 -4570.59 yes 100.00%
dd-ls4 -4570.58 -4571.55 yes 100.00%
fgmd inf -inf no
fm-bca -4570.58 -4570.58 yes 100.00%
fm -4570.58 -4575.33 yes 100.00%
fw -4570.58 -inf yes 100.00%
ga 938.84 -inf no 10.00%
hbp -4570.58 -4570.58 yes 100.00%
ipfps 1432.34 -inf no 10.00%
ipfpu 1432.34 -inf no 10.00%
lsm -422.531 -inf no 20.00%
mp -4570.58 -4570.58 yes 100.00%
mp-fw -4570.58 -4570.58 yes 100.00%
mpm -4570.58 -inf yes 100.00%
mp-mcf -4570.58 -4570.58 yes 100.00%
pm 625.605 -inf no 36.67%
rrwm 425.128 -inf no 6.67%
sm 1531.88 -inf no 10.00%
smac -3508.48 -inf no 86.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -4570.58 -4570.83 yes 100.00%
dd-ls3 -4570.58 -4570.59 yes 100.00%
dd-ls4 -4570.58 -4571.55 yes 100.00%
fgmd -4570.58 -inf yes 100.00%
fm-bca -4570.58 -4570.58 yes 100.00%
fm -4570.58 -4575.33 yes 100.00%
fw -4570.58 -inf yes 100.00%
ga 938.84 -inf no 10.00%
hbp -4570.58 -4570.58 yes 100.00%
ipfps 1432.34 -inf no 10.00%
ipfpu 1432.34 -inf no 10.00%
lsm -422.531 -inf no 20.00%
mp -4570.58 -4570.58 yes 100.00%
mp-fw -4570.58 -4570.58 yes 100.00%
mpm -4570.58 -inf yes 100.00%
mp-mcf -4570.58 -4570.58 yes 100.00%
pm 625.605 -inf no 36.67%
rrwm 425.128 -inf no 6.67%
sm 1531.88 -inf no 10.00%
smac -3508.48 -inf no 86.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -4570.58 -4570.83 yes 100.00%
dd-ls3 -4570.58 -4570.59 yes 100.00%
dd-ls4 -4570.58 -4571.55 yes 100.00%
fgmd -4570.58 -inf yes 100.00%
fm-bca -4570.58 -4570.58 yes 100.00%
fm -4570.58 -4575.33 yes 100.00%
fw -4570.58 -inf yes 100.00%
ga 938.84 -inf no 10.00%
hbp -4570.58 -4570.58 yes 100.00%
ipfps 1432.34 -inf no 10.00%
ipfpu 1432.34 -inf no 10.00%
lsm -422.531 -inf no 20.00%
mp -4570.58 -4570.58 yes 100.00%
mp-fw -4570.58 -4570.58 yes 100.00%
mpm -4570.58 -inf yes 100.00%
mp-mcf -4570.58 -4570.58 yes 100.00%
pm 625.605 -inf no 36.67%
rrwm 425.128 -inf no 6.67%
sm 1531.88 -inf no 10.00%
smac -3508.48 -inf no 86.67%

Other Results for this Dataset

Accumulated results for whole dataset: hotel

Results for individual instances of the dataset: