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[Grayscale] Boundary Detection Benchmark: Image #16 (86000) Rank=70

RankScoreAlgorithm
0 0.78 Humans
1 0.70 gPb-ucm (gray)
2 0.70 xren (gray)
3 0.70 Brightness / Texture Gradients
4 0.70 Global Probability of Boundary (gray)
5 0.68 Ren et al. NIPS2012 (gray)
6 0.68 Brightness Gradient
7 0.66 Gradient Magnitude
8 0.64 Multiscale Gradient Magnitude
9 0.64 Second Moment Matrix
10 0.62 Boosted Edge Learning
11 0.62 Texture Gradient
12 0.47 Segmentation Induced by Scale Invariance
13 0.47 Random

Rank Algorithm (Score)PbPrecision/Recall
0
Humans
(0.78)
1
gPb-ucm (gray)
(0.70)
2
xren (gray)
(0.70)
3
Brightness / Texture Gradients
(0.70)
4
Global Probability of Boundary (gray)
(0.70)
5
Ren et al. NIPS2012 (gray)
(0.68)
6
Brightness Gradient
(0.68)
7
Gradient Magnitude
(0.66)
8
Multiscale Gradient Magnitude
(0.64)
9
Second Moment Matrix
(0.64)
10
Boosted Edge Learning
(0.62)
11
Texture Gradient
(0.62)
12
Segmentation Induced by Scale Invariance
(0.47)
13
Random
(0.47)

Page generated on 20-Feb-2013 11:08:26.