A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “caltech-large”

This page shows the benchmarks results for the dataset “caltech-large”. The reported values, bounds and accuracies are averaged across all instances of the dataset.

Run time 1s

method avg value avg bound feasible optimal accuracy
dd-ls0 -26236.1 -56071.2 9 / 9 0 / 1 47.62%
dd-ls3 -25226.2 -72766.1 9 / 9 0 / 1 44.26%
dd-ls4 -25268.3 -79326.9 9 / 9 0 / 1 45.89%
fgmd inf -inf 0 / 9 0 / 1
fm-bca -33758.2 -48582.2 9 / 9 0 / 1 51.41%
fm -33972.4 -142829 9 / 9 0 / 1 51.87%
fw 0 -inf 9 / 9 0 / 1
ga inf -inf 0 / 9 0 / 1
hbp inf -inf 0 / 9 0 / 1
ipfps inf -inf 7 / 9 0 / 1
ipfpu inf -inf 8 / 9 0 / 1
lsm inf -inf 0 / 9 0 / 1
mp -31315.3 -46169.9 9 / 9 0 / 1 48.15%
mp-fw -34227.2 -51526 9 / 9 0 / 1 50.75%
mpm inf -inf 0 / 9 0 / 1
mp-mcf -29812.5 -48167.8 9 / 9 0 / 1 45.22%
pm -29106.2 -inf 9 / 9 0 / 1 42.56%
rrwm inf -inf 6 / 9 0 / 1
sm inf -inf 8 / 9 0 / 1
smac inf -inf 8 / 9 0 / 1

Run time 10s

method avg value avg bound feasible optimal accuracy
dd-ls0 -32973.2 -35007.1 9 / 9 1 / 1 51.43%
dd-ls3 -28653.2 -42079.5 9 / 9 1 / 1 48.52%
dd-ls4 -25599.2 -62120.5 9 / 9 0 / 1 45.53%
fgmd inf -inf 0 / 9 0 / 1
fm-bca -34039.8 -48222.8 9 / 9 0 / 1 51.09%
fm -34117.4 -142829 9 / 9 0 / 1 51.56%
fw 0 -inf 9 / 9 0 / 1
ga inf -inf 0 / 9 0 / 1
hbp inf -inf 0 / 9 0 / 1
ipfps inf -inf 8 / 9 0 / 1
ipfpu -34215.8 -inf 9 / 9 0 / 1 52.09%
lsm inf -inf 8 / 9 0 / 1
mp -32016.9 -46070.3 9 / 9 0 / 1 47.73%
mp-fw -34236.8 -48882.3 9 / 9 0 / 1 50.75%
mpm inf -inf 1 / 9 0 / 1
mp-mcf -30362.4 -46630.5 9 / 9 0 / 1 47.43%
pm -29106.2 -inf 9 / 9 0 / 1 42.56%
rrwm inf -inf 8 / 9 0 / 1
sm -14423.1 -inf 9 / 9 0 / 1 27.88%
smac -24182.6 -inf 9 / 9 0 / 1 38.98%

Run time 100s

method avg value avg bound feasible optimal accuracy
dd-ls0 -33538.8 -34959.2 9 / 9 1 / 1 52.21%
dd-ls3 -33551.6 -34914.1 9 / 9 1 / 1 48.65%
dd-ls4 -30148.3 -38879.8 9 / 9 1 / 1 51.15%
fgmd inf -inf 0 / 9 0 / 1
fm-bca -34072.8 -48217.4 9 / 9 0 / 1 51.09%
fm -34125.4 -142829 9 / 9 0 / 1 51.56%
fw 0 -inf 9 / 9 0 / 1
ga inf -inf 6 / 9 0 / 1
hbp inf -inf 0 / 9 0 / 1
ipfps -33998.2 -inf 9 / 9 0 / 1 51.08%
ipfpu -34215.8 -inf 9 / 9 0 / 1 52.09%
lsm 0 -inf 9 / 9 0 / 1
mp -32069.3 -46065.9 9 / 9 0 / 1 48.00%
mp-fw -34277.3 -45922.6 9 / 9 1 / 1 51.01%
mpm inf -inf 8 / 9 0 / 1
mp-mcf -30736.6 -43833.3 9 / 9 0 / 1 46.75%
pm -29106.2 -inf 9 / 9 0 / 1 42.56%
rrwm inf -inf 8 / 9 0 / 1
sm -14423.1 -inf 9 / 9 0 / 1 27.88%
smac -24182.6 -inf 9 / 9 0 / 1 38.98%

Run time 300s

method avg value avg bound feasible optimal accuracy
dd-ls0 -33538.8 -34959.2 9 / 9 1 / 1 52.21%
dd-ls3 -33557.1 -34911.2 9 / 9 1 / 1 48.65%
dd-ls4 -32266.4 -35577.3 9 / 9 1 / 1 50.67%
fgmd inf -inf 0 / 9 0 / 1
fm-bca -34082.4 -48217.4 9 / 9 1 / 1 51.45%
fm -34125.4 -142829 9 / 9 0 / 1 51.56%
fw 0 -inf 9 / 9 0 / 1
ga inf -inf 8 / 9 0 / 1
hbp inf -inf 0 / 9 0 / 1
ipfps -33998.2 -inf 9 / 9 0 / 1 51.08%
ipfpu -34215.8 -inf 9 / 9 0 / 1 52.09%
lsm 0 -inf 9 / 9 0 / 1
mp -32073.8 -46065.6 9 / 9 0 / 1 48.36%
mp-fw -34287.5 -44424.4 9 / 9 1 / 1 50.72%
mpm inf -inf 8 / 9 0 / 1
mp-mcf -31230.5 -42564.1 9 / 9 0 / 1 48.40%
pm -29106.2 -inf 9 / 9 0 / 1 42.56%
rrwm inf -inf 8 / 9 0 / 1
sm -14423.1 -inf 9 / 9 0 / 1 27.88%
smac -24182.6 -inf 9 / 9 0 / 1 38.98%

Per Instance Results

Results for individual instances of the dataset are also available: