A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-dense60”

This page shows the benchmarks results for the dataset instance “house-dense60”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -3720.2.

Run time 1s

method value bound optimal accuracy
dd-ls0 -3720.2 -3721.11 yes 100.00%
dd-ls3 -3720.2 -3720.98 yes 100.00%
dd-ls4 -3720.2 -3754.2 yes 100.00%
fgmd inf -inf no
fm-bca -3720.2 -3724.12 yes 100.00%
fm -3720.2 -4049.87 yes 100.00%
fw -3720.2 -inf yes 100.00%
ga 3317.97 -inf no 13.33%
hbp -3720.2 -3761.48 yes 100.00%
ipfps 3698.93 -inf no 13.33%
ipfpu 3698.93 -inf no 13.33%
lsm inf -inf no
mp -3720.2 -3734.01 yes 100.00%
mp-fw -3720.2 -3795.99 yes 100.00%
mpm 1283.81 -inf no 46.67%
mp-mcf -2887.94 -3786 no 83.33%
pm 3076.31 -inf no 23.33%
rrwm 2827.65 -inf no 16.67%
sm 3470.23 -inf no 3.33%
smac 1944.56 -inf no 36.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -3720.2 -3721.11 yes 100.00%
dd-ls3 -3720.2 -3720.24 yes 100.00%
dd-ls4 -3720.2 -3720.21 yes 100.00%
fgmd inf -inf no
fm-bca -3720.2 -3720.2 yes 100.00%
fm -3720.2 -4049.87 yes 100.00%
fw -3720.2 -inf yes 100.00%
ga 3317.97 -inf no 13.33%
hbp -3720.2 -3761.48 yes 100.00%
ipfps 3698.93 -inf no 13.33%
ipfpu 3698.93 -inf no 13.33%
lsm 1767.39 -inf no 26.67%
mp -3720.2 -3729.64 yes 100.00%
mp-fw -3720.2 -3730.94 yes 100.00%
mpm 1283.81 -inf no 46.67%
mp-mcf -3461.57 -3724.59 no 86.67%
pm 3076.31 -inf no 23.33%
rrwm 2827.65 -inf no 16.67%
sm 3470.23 -inf no 3.33%
smac 1944.56 -inf no 36.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -3720.2 -3721.11 yes 100.00%
dd-ls3 -3720.2 -3720.24 yes 100.00%
dd-ls4 -3720.2 -3720.21 yes 100.00%
fgmd -2443.22 -inf no 30.00%
fm-bca -3720.2 -3720.2 yes 100.00%
fm -3720.2 -4049.87 yes 100.00%
fw -3720.2 -inf yes 100.00%
ga 3317.97 -inf no 13.33%
hbp -3720.2 -3761.48 yes 100.00%
ipfps 3698.93 -inf no 13.33%
ipfpu 3698.93 -inf no 13.33%
lsm 1767.39 -inf no 26.67%
mp -3720.2 -3729.64 yes 100.00%
mp-fw -3720.2 -3720.2 yes 100.00%
mpm 1283.81 -inf no 46.67%
mp-mcf -3720.2 -3720.2 yes 100.00%
pm 3076.31 -inf no 23.33%
rrwm 2827.65 -inf no 16.67%
sm 3470.23 -inf no 3.33%
smac 1944.56 -inf no 36.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -3720.2 -3721.11 yes 100.00%
dd-ls3 -3720.2 -3720.24 yes 100.00%
dd-ls4 -3720.2 -3720.21 yes 100.00%
fgmd -2443.22 -inf no 30.00%
fm-bca -3720.2 -3720.2 yes 100.00%
fm -3720.2 -4049.87 yes 100.00%
fw -3720.2 -inf yes 100.00%
ga 3317.97 -inf no 13.33%
hbp -3720.2 -3761.48 yes 100.00%
ipfps 3698.93 -inf no 13.33%
ipfpu 3698.93 -inf no 13.33%
lsm 1767.39 -inf no 26.67%
mp -3720.2 -3729.64 yes 100.00%
mp-fw -3720.2 -3720.2 yes 100.00%
mpm 1283.81 -inf no 46.67%
mp-mcf -3720.2 -3720.2 yes 100.00%
pm 3076.31 -inf no 23.33%
rrwm 2827.65 -inf no 16.67%
sm 3470.23 -inf no 3.33%
smac 1944.56 -inf no 36.67%

Other Results for this Dataset

Accumulated results for whole dataset: house-dense

Results for individual instances of the dataset: