A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense52”

This page shows the benchmarks results for the dataset instance “house-dense52”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3748.62.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3748.62 -3753.14 yes 100.00%
dd-ls3 -3748.62 -3748.84 yes 100.00%
dd-ls4 -3748.62 -3765.95 yes 100.00%
fgmd inf -inf no
fm-bca -3748.62 -3749.93 yes 100.00%
fm -3748.62 -4075.62 yes 100.00%
fw -3748.62 -inf yes 100.00%
ga 3803.1 -inf no 6.67%
hbp -3748.62 -3776.29 yes 100.00%
ipfps 3803.1 -inf no 6.67%
ipfpu 3803.1 -inf no 6.67%
lsm inf -inf no
mp -3748.62 -3749.94 yes 100.00%
mp-fw -3748.62 -3818.27 yes 100.00%
mpm 1340.08 -inf no 56.67%
mp-mcf -3482.89 -3810.43 no 86.67%
pm 3083.5 -inf no 20.00%
rrwm 2890.08 -inf no 10.00%
sm 3577.99 -inf no 16.67%
smac 4288.8 -inf no 23.33%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3748.62 -3753.14 yes 100.00%
dd-ls3 -3748.62 -3748.84 yes 100.00%
dd-ls4 -3748.62 -3751.12 yes 100.00%
fgmd inf -inf no
fm-bca -3748.62 -3748.62 yes 100.00%
fm -3748.62 -4075.62 yes 100.00%
fw -3748.62 -inf yes 100.00%
ga 3803.1 -inf no 6.67%
hbp -3748.62 -3776.29 yes 100.00%
ipfps 3803.1 -inf no 6.67%
ipfpu 3803.1 -inf no 6.67%
lsm 2082.18 -inf no 16.67%
mp -3748.62 -3748.62 yes 100.00%
mp-fw -3748.62 -3771.02 yes 100.00%
mpm 1340.08 -inf no 56.67%
mp-mcf -3748.62 -3748.62 yes 100.00%
pm 3083.5 -inf no 20.00%
rrwm 2890.08 -inf no 10.00%
sm 3577.99 -inf no 16.67%
smac 4288.8 -inf no 23.33%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3748.62 -3753.14 yes 100.00%
dd-ls3 -3748.62 -3748.84 yes 100.00%
dd-ls4 -3748.62 -3751.12 yes 100.00%
fgmd -3748.62 -inf yes 100.00%
fm-bca -3748.62 -3748.62 yes 100.00%
fm -3748.62 -4075.62 yes 100.00%
fw -3748.62 -inf yes 100.00%
ga 3803.1 -inf no 6.67%
hbp -3748.62 -3776.29 yes 100.00%
ipfps 3803.1 -inf no 6.67%
ipfpu 3803.1 -inf no 6.67%
lsm 2082.18 -inf no 16.67%
mp -3748.62 -3748.62 yes 100.00%
mp-fw -3748.62 -3748.62 yes 100.00%
mpm 1340.08 -inf no 56.67%
mp-mcf -3748.62 -3748.62 yes 100.00%
pm 3083.5 -inf no 20.00%
rrwm 2890.08 -inf no 10.00%
sm 3577.99 -inf no 16.67%
smac 4288.8 -inf no 23.33%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3748.62 -3753.14 yes 100.00%
dd-ls3 -3748.62 -3748.84 yes 100.00%
dd-ls4 -3748.62 -3751.12 yes 100.00%
fgmd -3748.62 -inf yes 100.00%
fm-bca -3748.62 -3748.62 yes 100.00%
fm -3748.62 -4075.62 yes 100.00%
fw -3748.62 -inf yes 100.00%
ga 3803.1 -inf no 6.67%
hbp -3748.62 -3776.29 yes 100.00%
ipfps 3803.1 -inf no 6.67%
ipfpu 3803.1 -inf no 6.67%
lsm 2082.18 -inf no 16.67%
mp -3748.62 -3748.62 yes 100.00%
mp-fw -3748.62 -3748.62 yes 100.00%
mpm 1340.08 -inf no 56.67%
mp-mcf -3748.62 -3748.62 yes 100.00%
pm 3083.5 -inf no 20.00%
rrwm 2890.08 -inf no 10.00%
sm 3577.99 -inf no 16.67%
smac 4288.8 -inf no 23.33%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: