A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-sparse78”

This page shows the benchmarks results for the dataset instance “house-sparse78”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -67.2098.

Run time 1s

method value bound optimal accuracy
dd-ls0 -67.2098 -67.2169 yes 100.00%
dd-ls3 -67.2098 -67.3026 yes 100.00%
dd-ls4 -55.4593 -72.1024 no 90.00%
fgmd inf -inf no
fm-bca -67.2098 -67.2098 yes 100.00%
fm -67.2098 -78.8699 yes 100.00%
fw 0 -inf no 0.00%
ga -67.2098 -inf yes 100.00%
hbp -67.2098 -67.5861 yes 100.00%
ipfps -67.2098 -inf yes 100.00%
ipfpu -67.2098 -inf yes 100.00%
lsm -64.0354 -inf no 93.33%
mp -67.2098 -67.2098 yes 100.00%
mp-fw -67.2098 -67.2098 yes 100.00%
mpm -51.4372 -inf no 83.33%
mp-mcf -67.2098 -67.2098 yes 100.00%
pm -57.3251 -inf no 90.00%
rrwm -67.2098 -inf yes 100.00%
sm -67.2098 -inf yes 100.00%
smac -49.2704 -inf no 80.00%

Run time 10s

method value bound optimal accuracy
dd-ls0 -67.2098 -67.2169 yes 100.00%
dd-ls3 -67.2098 -67.2114 yes 100.00%
dd-ls4 -67.2098 -67.218 yes 100.00%
fgmd -67.2098 -inf yes 100.00%
fm-bca -67.2098 -67.2098 yes 100.00%
fm -67.2098 -78.8699 yes 100.00%
fw 0 -inf no 0.00%
ga -67.2098 -inf yes 100.00%
hbp -67.2098 -67.5861 yes 100.00%
ipfps -67.2098 -inf yes 100.00%
ipfpu -67.2098 -inf yes 100.00%
lsm -64.0354 -inf no 93.33%
mp -67.2098 -67.2098 yes 100.00%
mp-fw -67.2098 -67.2098 yes 100.00%
mpm -51.4372 -inf no 83.33%
mp-mcf -67.2098 -67.2098 yes 100.00%
pm -57.3251 -inf no 90.00%
rrwm -67.2098 -inf yes 100.00%
sm -67.2098 -inf yes 100.00%
smac -49.2704 -inf no 80.00%

Run time 100s

method value bound optimal accuracy
dd-ls0 -67.2098 -67.2169 yes 100.00%
dd-ls3 -67.2098 -67.2114 yes 100.00%
dd-ls4 -67.2098 -67.218 yes 100.00%
fgmd -67.2098 -inf yes 100.00%
fm-bca -67.2098 -67.2098 yes 100.00%
fm -67.2098 -78.8699 yes 100.00%
fw 0 -inf no 0.00%
ga -67.2098 -inf yes 100.00%
hbp -67.2098 -67.5861 yes 100.00%
ipfps -67.2098 -inf yes 100.00%
ipfpu -67.2098 -inf yes 100.00%
lsm -64.0354 -inf no 93.33%
mp -67.2098 -67.2098 yes 100.00%
mp-fw -67.2098 -67.2098 yes 100.00%
mpm -51.4372 -inf no 83.33%
mp-mcf -67.2098 -67.2098 yes 100.00%
pm -57.3251 -inf no 90.00%
rrwm -67.2098 -inf yes 100.00%
sm -67.2098 -inf yes 100.00%
smac -49.2704 -inf no 80.00%

Run time 300s

method value bound optimal accuracy
dd-ls0 -67.2098 -67.2169 yes 100.00%
dd-ls3 -67.2098 -67.2114 yes 100.00%
dd-ls4 -67.2098 -67.218 yes 100.00%
fgmd -67.2098 -inf yes 100.00%
fm-bca -67.2098 -67.2098 yes 100.00%
fm -67.2098 -78.8699 yes 100.00%
fw 0 -inf no 0.00%
ga -67.2098 -inf yes 100.00%
hbp -67.2098 -67.5861 yes 100.00%
ipfps -67.2098 -inf yes 100.00%
ipfpu -67.2098 -inf yes 100.00%
lsm -64.0354 -inf no 93.33%
mp -67.2098 -67.2098 yes 100.00%
mp-fw -67.2098 -67.2098 yes 100.00%
mpm -51.4372 -inf no 83.33%
mp-mcf -67.2098 -67.2098 yes 100.00%
pm -57.3251 -inf no 90.00%
rrwm -67.2098 -inf yes 100.00%
sm -67.2098 -inf yes 100.00%
smac -49.2704 -inf no 80.00%

Other Results for this Dataset

Accumulated results for whole dataset: house-sparse

Results for individual instances of the dataset: