A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense92”

This page shows the benchmarks results for the dataset instance “house-dense92”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3815.11.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3815.11 -3815.21 yes 100.00%
dd-ls3 -3815.11 -3815.15 yes 100.00%
dd-ls4 -3815.11 -3817.4 yes 100.00%
fgmd inf -inf no
fm-bca -3815.11 -3815.11 yes 100.00%
fm -3815.11 -4062.18 yes 100.00%
fw -3815.11 -inf yes 100.00%
ga 2906.6 -inf no 6.67%
hbp -3815.11 -3835.5 yes 100.00%
ipfps 2906.6 -inf no 6.67%
ipfpu 3441.57 -inf no 13.33%
lsm inf -inf no
mp -3815.11 -3815.11 yes 100.00%
mp-fw -3815.11 -3831.13 yes 100.00%
mpm -723.373 -inf no 80.00%
mp-mcf -3815.11 -3828.42 yes 100.00%
pm 3032.4 -inf no 16.67%
rrwm 2848.7 -inf no 10.00%
sm 3473.7 -inf no 13.33%
smac 1390.57 -inf no 33.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3815.11 -3815.21 yes 100.00%
dd-ls3 -3815.11 -3815.15 yes 100.00%
dd-ls4 -3815.11 -3815.2 yes 100.00%
fgmd inf -inf no
fm-bca -3815.11 -3815.11 yes 100.00%
fm -3815.11 -4062.18 yes 100.00%
fw -3815.11 -inf yes 100.00%
ga 2906.6 -inf no 6.67%
hbp -3815.11 -3835.5 yes 100.00%
ipfps 2906.6 -inf no 6.67%
ipfpu 3441.57 -inf no 13.33%
lsm 1669.09 -inf no 16.67%
mp -3815.11 -3815.11 yes 100.00%
mp-fw -3815.11 -3817.24 yes 100.00%
mpm -723.373 -inf no 80.00%
mp-mcf -3815.11 -3815.46 yes 100.00%
pm 3032.4 -inf no 16.67%
rrwm 2848.7 -inf no 10.00%
sm 3473.7 -inf no 13.33%
smac 1390.57 -inf no 33.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3815.11 -3815.21 yes 100.00%
dd-ls3 -3815.11 -3815.15 yes 100.00%
dd-ls4 -3815.11 -3815.2 yes 100.00%
fgmd -3815.11 -inf yes 100.00%
fm-bca -3815.11 -3815.11 yes 100.00%
fm -3815.11 -4062.18 yes 100.00%
fw -3815.11 -inf yes 100.00%
ga 2906.6 -inf no 6.67%
hbp -3815.11 -3835.5 yes 100.00%
ipfps 2906.6 -inf no 6.67%
ipfpu 3441.57 -inf no 13.33%
lsm 1669.09 -inf no 16.67%
mp -3815.11 -3815.11 yes 100.00%
mp-fw -3815.11 -3815.11 yes 100.00%
mpm -723.373 -inf no 80.00%
mp-mcf -3815.11 -3815.11 yes 100.00%
pm 3032.4 -inf no 16.67%
rrwm 2848.7 -inf no 10.00%
sm 3473.7 -inf no 13.33%
smac 1390.57 -inf no 33.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3815.11 -3815.21 yes 100.00%
dd-ls3 -3815.11 -3815.15 yes 100.00%
dd-ls4 -3815.11 -3815.2 yes 100.00%
fgmd -3815.11 -inf yes 100.00%
fm-bca -3815.11 -3815.11 yes 100.00%
fm -3815.11 -4062.18 yes 100.00%
fw -3815.11 -inf yes 100.00%
ga 2906.6 -inf no 6.67%
hbp -3815.11 -3835.5 yes 100.00%
ipfps 2906.6 -inf no 6.67%
ipfpu 3441.57 -inf no 13.33%
lsm 1669.09 -inf no 16.67%
mp -3815.11 -3815.11 yes 100.00%
mp-fw -3815.11 -3815.11 yes 100.00%
mpm -723.373 -inf no 80.00%
mp-mcf -3815.11 -3815.11 yes 100.00%
pm 3032.4 -inf no 16.67%
rrwm 2848.7 -inf no 10.00%
sm 3473.7 -inf no 13.33%
smac 1390.57 -inf no 33.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: