A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “worms”

This page shows the benchmarks results for the dataset “worms”. 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 60443.2 -163870 30 / 30 0 / 28 26.15%
dd-ls3 64016.8 -160520 30 / 30 0 / 28 24.06%
dd-ls4 65730.8 -160409 30 / 30 0 / 28 23.93%
fgmd inf -inf 0 / 30 0 / 28
fm-bca -48459.8 -48513.9 30 / 30 28 / 28 88.73%
fm -48457.2 -55757.4 30 / 30 28 / 28 88.56%
fw -46974.4 -inf 30 / 30 0 / 28 81.19%
ga inf -inf 0 / 30 0 / 28
hbp inf -inf 0 / 30 0 / 28
ipfps inf -inf 0 / 30 0 / 28
ipfpu inf -inf 0 / 30 0 / 28
lsm inf -inf 0 / 30 0 / 28
mp inf -inf 0 / 30 0 / 28
mp-fw inf -inf 0 / 30 0 / 28
mpm inf -inf 0 / 30 0 / 28
mp-mcf inf -inf 0 / 30 0 / 28
pm inf -inf 0 / 30 0 / 28
rrwm inf -inf 0 / 30 0 / 28
sm inf -inf 0 / 30 0 / 28
smac inf -inf 0 / 30 0 / 28

Run time 10s

method avg value avg bound feasible optimal accuracy
dd-ls0 50517.1 -148830 30 / 30 0 / 28 24.61%
dd-ls3 49256.9 -144842 30 / 30 0 / 28 24.22%
dd-ls4 58300.2 -153566 30 / 30 0 / 28 24.60%
fgmd inf -inf 0 / 30 0 / 28
fm-bca -48463.8 -48498.4 30 / 30 28 / 28 88.93%
fm -48458.2 -55757.4 30 / 30 28 / 28 88.52%
fw -48031.8 -inf 30 / 30 1 / 28 84.69%
ga inf -inf 0 / 30 0 / 28
hbp inf -inf 0 / 30 0 / 28
ipfps inf -inf 0 / 30 0 / 28
ipfpu 0 -inf 30 / 30 0 / 28
lsm inf -inf 0 / 30 0 / 28
mp -48390.6 -48498.1 30 / 30 20 / 28 88.62%
mp-fw inf -49823.4 30 / 30 1 / 28 3.06%
mpm inf -inf 0 / 30 0 / 28
mp-mcf -47942.4 -48587.8 30 / 30 1 / 28 87.58%
pm inf -inf 0 / 30 0 / 28
rrwm inf -inf 0 / 30 0 / 28
sm inf -inf 0 / 30 0 / 28
smac inf -inf 0 / 30 0 / 28

Run time 100s

method avg value avg bound feasible optimal accuracy
dd-ls0 -3981.82 -58449.2 30 / 30 0 / 28 57.60%
dd-ls3 11744.1 -71486.6 30 / 30 0 / 28 45.83%
dd-ls4 31065.5 -109359 30 / 30 0 / 28 33.17%
fgmd inf -inf 0 / 30 0 / 28
fm-bca -48464.2 -48497.7 30 / 30 28 / 28 88.87%
fm -48461.1 -55757.4 30 / 30 28 / 28 88.63%
fw -48037.8 -inf 30 / 30 1 / 28 84.67%
ga inf -inf 0 / 30 0 / 28
hbp inf -inf 0 / 30 0 / 28
ipfps -1147.02 -inf 30 / 30 0 / 28 1.31%
ipfpu 0 -inf 30 / 30 0 / 28
lsm inf -inf 0 / 30 0 / 28
mp -48393.2 -48496.7 30 / 30 21 / 28 88.60%
mp-fw -48402.1 -48759.3 30 / 30 17 / 28 87.85%
mpm inf -inf 0 / 30 0 / 28
mp-mcf -48026.7 -48557.7 30 / 30 1 / 28 88.12%
pm inf -inf 0 / 30 0 / 28
rrwm inf -inf 0 / 30 0 / 28
sm -6452.83 -inf 30 / 30 0 / 28 6.11%
smac inf -inf 9 / 30 0 / 28

Run time 300s

method avg value avg bound feasible optimal accuracy
dd-ls0 -43824.1 -48681.8 30 / 30 0 / 28 87.08%
dd-ls3 -40882 -48941.4 30 / 30 0 / 28 85.13%
dd-ls4 12794.9 -75077.7 30 / 30 0 / 28 44.14%
fgmd inf -inf 0 / 30 0 / 28
fm-bca -48464.4 -48497.7 30 / 30 28 / 28 88.93%
fm -48461.1 -55757.4 30 / 30 28 / 28 88.63%
fw -48037.8 -inf 30 / 30 1 / 28 84.67%
ga inf -inf 0 / 30 0 / 28
hbp inf -inf 0 / 30 0 / 28
ipfps -1147.02 -inf 30 / 30 0 / 28 1.31%
ipfpu 0 -inf 30 / 30 0 / 28
lsm inf -inf 15 / 30 0 / 28
mp -48393.3 -48496.4 30 / 30 21 / 28 88.59%
mp-fw -48434.6 -48631.4 30 / 30 25 / 28 88.22%
mpm inf -inf 0 / 30 0 / 28
mp-mcf -48054.2 -48552.1 30 / 30 1 / 28 88.10%
pm inf -inf 0 / 30 0 / 28
rrwm inf -inf 0 / 30 0 / 28
sm -6452.83 -inf 30 / 30 0 / 28 6.11%
smac inf -inf 12 / 30 0 / 28

Per Instance Results

Results for individual instances of the dataset are also available: