A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “house-sparse”

This page shows the benchmarks results for the dataset “house-sparse”. 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 -66.7829 -66.7975 105 / 105 105 / 105 100.00%
dd-ls3 -66.4865 -66.9051 105 / 105 101 / 105 99.62%
dd-ls4 -55.5881 -71.5806 105 / 105 19 / 105 86.38%
fgmd inf -inf 0 / 105 0 / 105
fm-bca -66.7829 -66.7829 105 / 105 105 / 105 100.00%
fm -66.7829 -78.8373 105 / 105 105 / 105 100.00%
fw 0 -inf 105 / 105 0 / 105
ga -66.7829 -inf 105 / 105 105 / 105 100.00%
hbp -66.7829 -67.0263 105 / 105 105 / 105 100.00%
ipfps -66.7829 -inf 105 / 105 105 / 105 100.00%
ipfpu -66.7829 -inf 105 / 105 105 / 105 100.00%
lsm -65.0472 -inf 105 / 105 48 / 105 96.38%
mp -66.7829 -66.7829 105 / 105 105 / 105 100.00%
mp-fw -66.7829 -66.7829 105 / 105 105 / 105 100.00%
mpm -60.2957 -inf 105 / 105 0 / 105 89.75%
mp-mcf -66.7829 -66.7829 105 / 105 105 / 105 100.00%
pm -54.3464 -inf 105 / 105 0 / 105 82.67%
rrwm -66.7829 -inf 105 / 105 105 / 105 100.00%
sm -66.5303 -inf 105 / 105 101 / 105 99.75%
smac -44.2408 -inf 105 / 105 39 / 105 63.24%

Run time 10s

method avg value avg bound feasible optimal accuracy
dd-ls0 -66.7829 -66.7975 105 / 105 105 / 105 100.00%
dd-ls3 -66.7829 -66.7913 105 / 105 105 / 105 100.00%
dd-ls4 -66.7829 -66.7975 105 / 105 105 / 105 100.00%
fgmd -66.7829 -inf 105 / 105 105 / 105 100.00%
fm-bca -66.7829 -66.7829 105 / 105 105 / 105 100.00%
fm -66.7829 -78.8373 105 / 105 105 / 105 100.00%
fw 0 -inf 105 / 105 0 / 105
ga -66.7829 -inf 105 / 105 105 / 105 100.00%
hbp -66.7829 -67.0263 105 / 105 105 / 105 100.00%
ipfps -66.7829 -inf 105 / 105 105 / 105 100.00%
ipfpu -66.7829 -inf 105 / 105 105 / 105 100.00%
lsm -65.0472 -inf 105 / 105 48 / 105 96.38%
mp -66.7829 -66.7829 105 / 105 105 / 105 100.00%
mp-fw -66.7829 -66.7829 105 / 105 105 / 105 100.00%
mpm -60.2957 -inf 105 / 105 0 / 105 89.75%
mp-mcf -66.7829 -66.7829 105 / 105 105 / 105 100.00%
pm -54.3464 -inf 105 / 105 0 / 105 82.67%
rrwm -66.7829 -inf 105 / 105 105 / 105 100.00%
sm -66.5303 -inf 105 / 105 101 / 105 99.75%
smac -44.2408 -inf 105 / 105 39 / 105 63.24%

Run time 100s

method avg value avg bound feasible optimal accuracy
dd-ls0 -66.7829 -66.7975 105 / 105 105 / 105 100.00%
dd-ls3 -66.7829 -66.7913 105 / 105 105 / 105 100.00%
dd-ls4 -66.7829 -66.79 105 / 105 105 / 105 100.00%
fgmd -66.7829 -inf 105 / 105 105 / 105 100.00%
fm-bca -66.7829 -66.7829 105 / 105 105 / 105 100.00%
fm -66.7829 -78.8373 105 / 105 105 / 105 100.00%
fw 0 -inf 105 / 105 0 / 105
ga -66.7829 -inf 105 / 105 105 / 105 100.00%
hbp -66.7829 -67.0263 105 / 105 105 / 105 100.00%
ipfps -66.7829 -inf 105 / 105 105 / 105 100.00%
ipfpu -66.7829 -inf 105 / 105 105 / 105 100.00%
lsm -65.0472 -inf 105 / 105 48 / 105 96.38%
mp -66.7829 -66.7829 105 / 105 105 / 105 100.00%
mp-fw -66.7829 -66.7829 105 / 105 105 / 105 100.00%
mpm -60.2957 -inf 105 / 105 0 / 105 89.75%
mp-mcf -66.7829 -66.7829 105 / 105 105 / 105 100.00%
pm -54.3464 -inf 105 / 105 0 / 105 82.67%
rrwm -66.7829 -inf 105 / 105 105 / 105 100.00%
sm -66.5303 -inf 105 / 105 101 / 105 99.75%
smac -44.2408 -inf 105 / 105 39 / 105 63.24%

Run time 300s

method avg value avg bound feasible optimal accuracy
dd-ls0 -66.7829 -66.7975 105 / 105 105 / 105 100.00%
dd-ls3 -66.7829 -66.7913 105 / 105 105 / 105 100.00%
dd-ls4 -66.7829 -66.79 105 / 105 105 / 105 100.00%
fgmd -66.7829 -inf 105 / 105 105 / 105 100.00%
fm-bca -66.7829 -66.7829 105 / 105 105 / 105 100.00%
fm -66.7829 -78.8373 105 / 105 105 / 105 100.00%
fw 0 -inf 105 / 105 0 / 105
ga -66.7829 -inf 105 / 105 105 / 105 100.00%
hbp -66.7829 -67.0263 105 / 105 105 / 105 100.00%
ipfps -66.7829 -inf 105 / 105 105 / 105 100.00%
ipfpu -66.7829 -inf 105 / 105 105 / 105 100.00%
lsm -65.0472 -inf 105 / 105 48 / 105 96.38%
mp -66.7829 -66.7829 105 / 105 105 / 105 100.00%
mp-fw -66.7829 -66.7829 105 / 105 105 / 105 100.00%
mpm -60.2957 -inf 105 / 105 0 / 105 89.75%
mp-mcf -66.7829 -66.7829 105 / 105 105 / 105 100.00%
pm -54.3464 -inf 105 / 105 0 / 105 82.67%
rrwm -66.7829 -inf 105 / 105 105 / 105 100.00%
sm -66.5303 -inf 105 / 105 101 / 105 99.75%
smac -44.2408 -inf 105 / 105 39 / 105 63.24%

Per Instance Results

Results for individual instances of the dataset are also available: