A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “caltech-small3”

This page shows the benchmarks results for the dataset instance “caltech-small3”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -15902.8.

Run time 1s

method value bound optimal accuracy
dd-ls0 -15902.8 -15902.8 yes 61.54%
dd-ls3 -14633.1 -18502.4 no 61.54%
dd-ls4 -13671.4 -23043.1 no 57.69%
fgmd inf -inf no
fm-bca -15889.1 -21431.6 yes 61.54%
fm -15889.1 -51179 yes 61.54%
fw 0 -inf no 0.00%
ga inf -inf no
hbp inf -inf no
ipfps -15889.1 -inf yes 61.54%
ipfpu -15839.6 -inf no 65.38%
lsm inf -inf no
mp -13525.9 -20398 no 50.00%
mp-fw -15863.2 -21428.5 no 61.54%
mpm inf -inf no
mp-mcf -14688.2 -20264.2 no 65.38%
pm -12939.2 -inf no 61.54%
rrwm -15840.9 -inf no 65.38%
sm -10389.9 -inf no 53.85%
smac -12442.1 -inf no 53.85%

Run time 10s

method value bound optimal accuracy
dd-ls0 -15902.8 -15902.8 yes 61.54%
dd-ls3 -15902.8 -15902.8 yes 61.54%
dd-ls4 -15589.8 -16354 no 61.54%
fgmd inf -inf no
fm-bca -15889.1 -21431.5 yes 61.54%
fm -15889.1 -51179 yes 61.54%
fw 0 -inf no 0.00%
ga inf -inf no
hbp inf -inf no
ipfps -15889.1 -inf yes 61.54%
ipfpu -15839.6 -inf no 65.38%
lsm 0 -inf no 0.00%
mp -13997.8 -20397.9 no 53.85%
mp-fw -15863.2 -20718.1 no 61.54%
mpm -14920.2 -inf no 65.38%
mp-mcf -14828.7 -19115.4 no 53.85%
pm -12939.2 -inf no 61.54%
rrwm -15840.9 -inf no 65.38%
sm -10389.9 -inf no 53.85%
smac -12442.1 -inf no 53.85%

Run time 100s

method value bound optimal accuracy
dd-ls0 -15902.8 -15902.8 yes 61.54%
dd-ls3 -15902.8 -15902.8 yes 61.54%
dd-ls4 -15902.8 -15902.8 yes 61.54%
fgmd inf -inf no
fm-bca -15889.1 -21431.5 yes 61.54%
fm -15889.1 -51179 yes 61.54%
fw 0 -inf no 0.00%
ga -15842.2 -inf no 61.54%
hbp inf -inf no
ipfps -15889.1 -inf yes 61.54%
ipfpu -15839.6 -inf no 65.38%
lsm 0 -inf no 0.00%
mp -14671.3 -20397.9 no 61.54%
mp-fw -15863.2 -18112.9 no 61.54%
mpm -14920.2 -inf no 65.38%
mp-mcf -15469.6 -17979.8 no 53.85%
pm -12939.2 -inf no 61.54%
rrwm -15840.9 -inf no 65.38%
sm -10389.9 -inf no 53.85%
smac -12442.1 -inf no 53.85%

Run time 300s

method value bound optimal accuracy
dd-ls0 -15902.8 -15902.8 yes 61.54%
dd-ls3 -15902.8 -15902.8 yes 61.54%
dd-ls4 -15902.8 -15902.8 yes 61.54%
fgmd -15902.8 -inf yes 61.54%
fm-bca -15889.1 -21431.5 yes 61.54%
fm -15889.1 -51179 yes 61.54%
fw 0 -inf no 0.00%
ga -15842.2 -inf no 61.54%
hbp inf -inf no
ipfps -15889.1 -inf yes 61.54%
ipfpu -15839.6 -inf no 65.38%
lsm 0 -inf no 0.00%
mp -14671.3 -20397.9 no 61.54%
mp-fw -15863.2 -17744.4 no 61.54%
mpm -14920.2 -inf no 65.38%
mp-mcf -15469.6 -17712.9 no 53.85%
pm -12939.2 -inf no 61.54%
rrwm -15840.9 -inf no 65.38%
sm -10389.9 -inf no 53.85%
smac -12442.1 -inf no 53.85%

Other Results for this Dataset

Accumulated results for whole dataset: caltech-small

Results for individual instances of the dataset: