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Table 3 Performance scores on the BSDS

From: Projection-embedded BYY learning algorithm for Gaussian mixture-based clustering

 

BSDS500

 

Human

Mean shift

MN-Cut

gPb-owt-ucm

MML-Jef

VB-DNW

pBYY

PRI

0.88

0.8157

0.8066

0.7489

0.7851

0.7866

0.8196

VI

1.17

2.2912

2.5163

1.7539

3.4966

3.5589

2.8140

CR

0.72

0.439

0.393

0.439

0.325

0.325

0.487

  1. The performance of each algorithm is evaluated separately against each of five human-drawn ground-truth segmentations per image, and then their average is obtained as the score on this image. For the covering rate metrics, a larger value indicates a better performance.