A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “motor2”

This page shows the benchmarks results for the dataset instance “motor2”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -94.93.

Run time 1s

method value bound optimal accuracy
dd-ls0 -94.9287 -94.9333 yes 100.00%
dd-ls3 -94.9287 -94.9298 yes 100.00%
dd-ls4 -94.9287 -97.0087 yes 100.00%
fgmd inf -inf no
fm-bca -94.9287 -94.9287 yes 100.00%
fm -94.9287 -117.9 yes 100.00%
fw -94.9287 -inf yes 100.00%
ga -94.9287 -inf yes 100.00%
hbp -94.9287 -95.121 yes 100.00%
ipfps -93.0733 -inf no 94.29%
ipfpu -93.0733 -inf no 94.29%
lsm -94.9287 -inf yes 100.00%
mp -94.9287 -94.9287 yes 100.00%
mp-fw -94.9287 -94.9287 yes 100.00%
mpm -94.9287 -inf yes 100.00%
mp-mcf -94.9287 -94.9287 yes 100.00%
pm -55.1459 -inf no 54.29%
rrwm -94.9287 -inf yes 100.00%
sm -94.9287 -inf yes 100.00%
smac -43.6941 -inf no 8.57%

Run time 10s

method value bound optimal accuracy
dd-ls0 -94.9287 -94.9333 yes 100.00%
dd-ls3 -94.9287 -94.9298 yes 100.00%
dd-ls4 -94.9287 -94.9316 yes 100.00%
fgmd -94.9287 -inf yes 100.00%
fm-bca -94.9287 -94.9287 yes 100.00%
fm -94.9287 -117.9 yes 100.00%
fw -94.9287 -inf yes 100.00%
ga -94.9287 -inf yes 100.00%
hbp -94.9287 -95.121 yes 100.00%
ipfps -93.0733 -inf no 94.29%
ipfpu -93.0733 -inf no 94.29%
lsm -94.9287 -inf yes 100.00%
mp -94.9287 -94.9287 yes 100.00%
mp-fw -94.9287 -94.9287 yes 100.00%
mpm -94.9287 -inf yes 100.00%
mp-mcf -94.9287 -94.9287 yes 100.00%
pm -55.1459 -inf no 54.29%
rrwm -94.9287 -inf yes 100.00%
sm -94.9287 -inf yes 100.00%
smac -43.6941 -inf no 8.57%

Run time 100s

method value bound optimal accuracy
dd-ls0 -94.9287 -94.9333 yes 100.00%
dd-ls3 -94.9287 -94.9298 yes 100.00%
dd-ls4 -94.9287 -94.9316 yes 100.00%
fgmd -94.9287 -inf yes 100.00%
fm-bca -94.9287 -94.9287 yes 100.00%
fm -94.9287 -117.9 yes 100.00%
fw -94.9287 -inf yes 100.00%
ga -94.9287 -inf yes 100.00%
hbp -94.9287 -95.121 yes 100.00%
ipfps -93.0733 -inf no 94.29%
ipfpu -93.0733 -inf no 94.29%
lsm -94.9287 -inf yes 100.00%
mp -94.9287 -94.9287 yes 100.00%
mp-fw -94.9287 -94.9287 yes 100.00%
mpm -94.9287 -inf yes 100.00%
mp-mcf -94.9287 -94.9287 yes 100.00%
pm -55.1459 -inf no 54.29%
rrwm -94.9287 -inf yes 100.00%
sm -94.9287 -inf yes 100.00%
smac -43.6941 -inf no 8.57%

Run time 300s

method value bound optimal accuracy
dd-ls0 -94.9287 -94.9333 yes 100.00%
dd-ls3 -94.9287 -94.9298 yes 100.00%
dd-ls4 -94.9287 -94.9316 yes 100.00%
fgmd -94.9287 -inf yes 100.00%
fm-bca -94.9287 -94.9287 yes 100.00%
fm -94.9287 -117.9 yes 100.00%
fw -94.9287 -inf yes 100.00%
ga -94.9287 -inf yes 100.00%
hbp -94.9287 -95.121 yes 100.00%
ipfps -93.0733 -inf no 94.29%
ipfpu -93.0733 -inf no 94.29%
lsm -94.9287 -inf yes 100.00%
mp -94.9287 -94.9287 yes 100.00%
mp-fw -94.9287 -94.9287 yes 100.00%
mpm -94.9287 -inf yes 100.00%
mp-mcf -94.9287 -94.9287 yes 100.00%
pm -55.1459 -inf no 54.29%
rrwm -94.9287 -inf yes 100.00%
sm -94.9287 -inf yes 100.00%
smac -43.6941 -inf no 8.57%

Other Results for this Dataset

Accumulated results for whole dataset: motor

Results for individual instances of the dataset: