A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “car21”

This page shows the benchmarks results for the dataset instance “car21”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -94.55.

Run time 1s

method value bound optimal accuracy
dd-ls0 -94.5519 -94.5519 yes 100.00%
dd-ls3 -68.8223 -102.063 no 71.43%
dd-ls4 -59.6106 -106.365 no 47.62%
fgmd inf -inf no
fm-bca -94.5519 -94.5519 yes 100.00%
fm -94.5519 -142.745 yes 100.00%
fw -93.174 -inf no 92.86%
ga -94.5519 -inf yes 100.00%
hbp -94.5519 -97.2008 yes 100.00%
ipfps -92.9437 -inf no 95.24%
ipfpu -63.9909 -inf no 42.86%
lsm -58.0389 -inf no 42.86%
mp -94.5519 -94.5519 yes 100.00%
mp-fw -94.5519 -94.5519 yes 100.00%
mpm inf -inf no
mp-mcf -94.5519 -94.5519 yes 100.00%
pm -43.9228 -inf no 11.90%
rrwm -94.5519 -inf yes 100.00%
sm -83.8514 -inf no 78.57%
smac -75.3112 -inf no 66.67%

Run time 10s

method value bound optimal accuracy
dd-ls0 -94.5519 -94.5519 yes 100.00%
dd-ls3 -94.5519 -94.568 yes 100.00%
dd-ls4 -69.2315 -98.4665 no 71.43%
fgmd -94.5519 -inf yes 100.00%
fm-bca -94.5519 -94.5519 yes 100.00%
fm -94.5519 -142.745 yes 100.00%
fw -93.174 -inf no 92.86%
ga -94.5519 -inf yes 100.00%
hbp -94.5519 -97.2008 yes 100.00%
ipfps -92.9437 -inf no 95.24%
ipfpu -63.9909 -inf no 42.86%
lsm -58.0389 -inf no 42.86%
mp -94.5519 -94.5519 yes 100.00%
mp-fw -94.5519 -94.5519 yes 100.00%
mpm -75.0126 -inf no 73.81%
mp-mcf -94.5519 -94.5519 yes 100.00%
pm -43.9228 -inf no 11.90%
rrwm -94.5519 -inf yes 100.00%
sm -83.8514 -inf no 78.57%
smac -75.3112 -inf no 66.67%

Run time 100s

method value bound optimal accuracy
dd-ls0 -94.5519 -94.5519 yes 100.00%
dd-ls3 -94.5519 -94.568 yes 100.00%
dd-ls4 -94.5519 -94.5523 yes 100.00%
fgmd -94.5519 -inf yes 100.00%
fm-bca -94.5519 -94.5519 yes 100.00%
fm -94.5519 -142.745 yes 100.00%
fw -93.174 -inf no 92.86%
ga -94.5519 -inf yes 100.00%
hbp -94.5519 -97.2008 yes 100.00%
ipfps -92.9437 -inf no 95.24%
ipfpu -63.9909 -inf no 42.86%
lsm -58.0389 -inf no 42.86%
mp -94.5519 -94.5519 yes 100.00%
mp-fw -94.5519 -94.5519 yes 100.00%
mpm -75.0126 -inf no 73.81%
mp-mcf -94.5519 -94.5519 yes 100.00%
pm -43.9228 -inf no 11.90%
rrwm -94.5519 -inf yes 100.00%
sm -83.8514 -inf no 78.57%
smac -75.3112 -inf no 66.67%

Run time 300s

method value bound optimal accuracy
dd-ls0 -94.5519 -94.5519 yes 100.00%
dd-ls3 -94.5519 -94.568 yes 100.00%
dd-ls4 -94.5519 -94.5523 yes 100.00%
fgmd -94.5519 -inf yes 100.00%
fm-bca -94.5519 -94.5519 yes 100.00%
fm -94.5519 -142.745 yes 100.00%
fw -93.174 -inf no 92.86%
ga -94.5519 -inf yes 100.00%
hbp -94.5519 -97.2008 yes 100.00%
ipfps -92.9437 -inf no 95.24%
ipfpu -63.9909 -inf no 42.86%
lsm -58.0389 -inf no 42.86%
mp -94.5519 -94.5519 yes 100.00%
mp-fw -94.5519 -94.5519 yes 100.00%
mpm -75.0126 -inf no 73.81%
mp-mcf -94.5519 -94.5519 yes 100.00%
pm -43.9228 -inf no 11.90%
rrwm -94.5519 -inf yes 100.00%
sm -83.8514 -inf no 78.57%
smac -75.3112 -inf no 66.67%

Other Results for this Dataset

Accumulated results for whole dataset: car

Results for individual instances of the dataset: