A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “hotel2”

This page shows the benchmarks results for the dataset instance “hotel2”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -4498.03.

Run time 1s

method value bound optimal accuracy
dd-ls0 -4498.03 -4498.42 yes 100.00%
dd-ls3 -4498.03 -4498.06 yes 100.00%
dd-ls4 -4498.03 -4498.13 yes 100.00%
fgmd inf -inf no
fm-bca -4498.03 -4498.03 yes 100.00%
fm -4498.03 -4514.09 yes 100.00%
fw -4498.03 -inf yes 100.00%
ga 1120.96 -inf no 10.00%
hbp -4498.03 -4498.03 yes 100.00%
ipfps 1120.96 -inf no 10.00%
ipfpu 1637.06 -inf no 13.33%
lsm 1008.3 -inf no 26.67%
mp -4498.03 -4498.03 yes 100.00%
mp-fw -4498.03 -4498.03 yes 100.00%
mpm -4498.03 -inf yes 100.00%
mp-mcf -4498.03 -4498.03 yes 100.00%
pm 248.144 -inf no 43.33%
rrwm 297.985 -inf no 13.33%
sm 1630.32 -inf no 10.00%
smac -2270.86 -inf no 80.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -4498.03 -4498.42 yes 100.00%
dd-ls3 -4498.03 -4498.06 yes 100.00%
dd-ls4 -4498.03 -4498.13 yes 100.00%
fgmd inf -inf no
fm-bca -4498.03 -4498.03 yes 100.00%
fm -4498.03 -4514.09 yes 100.00%
fw -4498.03 -inf yes 100.00%
ga 1120.96 -inf no 10.00%
hbp -4498.03 -4498.03 yes 100.00%
ipfps 1120.96 -inf no 10.00%
ipfpu 1637.06 -inf no 13.33%
lsm 1008.3 -inf no 26.67%
mp -4498.03 -4498.03 yes 100.00%
mp-fw -4498.03 -4498.03 yes 100.00%
mpm -4498.03 -inf yes 100.00%
mp-mcf -4498.03 -4498.03 yes 100.00%
pm 248.144 -inf no 43.33%
rrwm 297.985 -inf no 13.33%
sm 1630.32 -inf no 10.00%
smac -2270.86 -inf no 80.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -4498.03 -4498.42 yes 100.00%
dd-ls3 -4498.03 -4498.06 yes 100.00%
dd-ls4 -4498.03 -4498.13 yes 100.00%
fgmd -4498.03 -inf yes 100.00%
fm-bca -4498.03 -4498.03 yes 100.00%
fm -4498.03 -4514.09 yes 100.00%
fw -4498.03 -inf yes 100.00%
ga 1120.96 -inf no 10.00%
hbp -4498.03 -4498.03 yes 100.00%
ipfps 1120.96 -inf no 10.00%
ipfpu 1637.06 -inf no 13.33%
lsm 1008.3 -inf no 26.67%
mp -4498.03 -4498.03 yes 100.00%
mp-fw -4498.03 -4498.03 yes 100.00%
mpm -4498.03 -inf yes 100.00%
mp-mcf -4498.03 -4498.03 yes 100.00%
pm 248.144 -inf no 43.33%
rrwm 297.985 -inf no 13.33%
sm 1630.32 -inf no 10.00%
smac -2270.86 -inf no 80.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -4498.03 -4498.42 yes 100.00%
dd-ls3 -4498.03 -4498.06 yes 100.00%
dd-ls4 -4498.03 -4498.13 yes 100.00%
fgmd -4498.03 -inf yes 100.00%
fm-bca -4498.03 -4498.03 yes 100.00%
fm -4498.03 -4514.09 yes 100.00%
fw -4498.03 -inf yes 100.00%
ga 1120.96 -inf no 10.00%
hbp -4498.03 -4498.03 yes 100.00%
ipfps 1120.96 -inf no 10.00%
ipfpu 1637.06 -inf no 13.33%
lsm 1008.3 -inf no 26.67%
mp -4498.03 -4498.03 yes 100.00%
mp-fw -4498.03 -4498.03 yes 100.00%
mpm -4498.03 -inf yes 100.00%
mp-mcf -4498.03 -4498.03 yes 100.00%
pm 248.144 -inf no 43.33%
rrwm 297.985 -inf no 13.33%
sm 1630.32 -inf no 10.00%
smac -2270.86 -inf no 80.00%

Other Results for this Dataset

Accumulated results for whole dataset: hotel

Results for individual instances of the dataset: