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Boundary Detection Benchmark: Image Ranking

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Grayscale Color
Rank IDImageBest Algorithm [Score] IDImageBest Algorithm [Score]
1 #5 (42049) Boosted Edge Learning
[ 0.92 / 0.92 ]		 #6 (167062) Ultrametric Contour Maps
[ 0.92 / 0.95 ]
2 #65 (3096) Boosted Edge Learning
[ 0.90 / 0.94 ]		 #5 (42049) Boosted Edge Learning (color)
[ 0.91 / 0.96 ]
3 #58 (227092) Global Probability of Boundary (gray)
[ 0.88 / 0.80 ]		 #53 (216081) Ultrametric Contour Maps
[ 0.88 / 0.86 ]
4 #97 (296059) Brightness Gradient
[ 0.88 / 0.95 ]		 #58 (227092) Global Probability of Boundary (color)
[ 0.87 / 0.65 ]
5 #36 (241004) Boosted Edge Learning
[ 0.85 / 0.95 ]		 #45 (62096) Ultrametric Contour Maps
[ 0.87 / 0.90 ]
6 #81 (37073) Global Probability of Boundary (gray)
[ 0.84 / 0.75 ]		 #17 (101085) Global Probability of Boundary (color)
[ 0.86 / 0.93 ]
7 #17 (101085) Global Probability of Boundary (gray)
[ 0.83 / 0.94 ]		 #97 (296059) Ultrametric Contour Maps
[ 0.86 / 0.88 ]
8 #51 (160068) Texture Gradient
[ 0.83 / 0.80 ]		 #44 (229036) Ultrametric Contour Maps
[ 0.85 / 0.86 ]
9 #99 (385039) xren (gray)
[ 0.83 / 0.84 ]		 #49 (69015) Global Probability of Boundary (color)
[ 0.85 / 0.74 ]
10 #68 (196073) xren (gray)
[ 0.82 / 0.87 ]		 #52 (145086) Boosted Edge Learning (color)
[ 0.85 / 0.85 ]
11 #49 (69015) Global Probability of Boundary (gray)
[ 0.82 / 0.71 ]		 #36 (241004) Ultrametric Contour Maps
[ 0.85 / 0.94 ]
12 #55 (182053) Global Probability of Boundary (gray)
[ 0.82 / 0.83 ]		 #95 (101087) xren (color)
[ 0.84 / 0.86 ]
13 #79 (197017) Brightness / Texture Gradients
[ 0.81 / 0.96 ]		 #100 (69020) Ultrametric Contour Maps
[ 0.84 / 0.86 ]
14 #53 (216081) xren (gray)
[ 0.81 / 0.90 ]		 #68 (196073) Brightness / Color / Texture Gradients
[ 0.84 / 0.85 ]
15 #80 (299086) Global Probability of Boundary (gray)
[ 0.81 / 0.90 ]		 #81 (37073) xren (color)
[ 0.84 / 0.78 ]
16 #10 (78004) Global Probability of Boundary (gray)
[ 0.80 / 0.80 ]		 #1 (119082) Global Probability of Boundary (color)
[ 0.83 / 0.80 ]
17 #45 (62096) Brightness / Texture Gradients
[ 0.80 / 0.87 ]		 #79 (197017) Ultrametric Contour Maps
[ 0.83 / 0.89 ]
18 #43 (189080) Global Probability of Boundary (gray)
[ 0.80 / 0.85 ]		 #20 (300091) Global Probability of Boundary (color)
[ 0.82 / 0.84 ]
19 #1 (119082) xren (gray)
[ 0.80 / 0.82 ]		 #10 (78004) Ultrametric Contour Maps
[ 0.81 / 0.81 ]
20 #12 (45096) Global Probability of Boundary (gray)
[ 0.79 / 0.80 ]		 #47 (167083) Global Probability of Boundary (color)
[ 0.81 / 0.75 ]
21 #85 (66053) Global Probability of Boundary (gray)
[ 0.79 / 0.77 ]		 #99 (385039) Ultrametric Contour Maps
[ 0.81 / 0.83 ]
22 #20 (300091) Gradient Magnitude
[ 0.79 / 0.83 ]		 #80 (299086) xren (color)
[ 0.80 / 0.82 ]
23 #95 (101087) xren (gray)
[ 0.79 / 0.93 ]		 #24 (296007) Ultrametric Contour Maps
[ 0.80 / 0.83 ]
24 #7 (157055) xren (gray)
[ 0.79 / 0.67 ]		 #12 (45096) Global Probability of Boundary (color)
[ 0.80 / 0.77 ]
25 #21 (126007) xren (gray)
[ 0.79 / 0.85 ]		 #7 (157055) xren (color)
[ 0.80 / 0.78 ]
26 #14 (43074) xren (gray)
[ 0.78 / 0.77 ]		 #55 (182053) Global Probability of Boundary (color)
[ 0.80 / 0.75 ]
27 #6 (167062) Gradient Magnitude
[ 0.78 / 0.67 ]		 #13 (38092) Boosted Edge Learning (color)
[ 0.79 / 0.87 ]
28 #86 (143090) Global Probability of Boundary (gray)
[ 0.78 / 0.85 ]		 #26 (253027) Global Probability of Boundary (color)
[ 0.79 / 0.77 ]
29 #54 (97033) Global Probability of Boundary (gray)
[ 0.78 / 0.74 ]		 #43 (189080) Global Probability of Boundary (color)
[ 0.79 / 0.87 ]
30 #13 (38092) Boosted Edge Learning
[ 0.78 / 0.86 ]		 #39 (147091) Brightness / Texture Gradients
[ 0.79 / 0.87 ]
31 #8 (295087) Global Probability of Boundary (gray)
[ 0.78 / 0.83 ]		 #66 (41069) Ultrametric Contour Maps
[ 0.79 / 0.79 ]
32 #39 (147091) Global Probability of Boundary (gray)
[ 0.77 / 0.72 ]		 #22 (156065) Ultrametric Contour Maps
[ 0.78 / 0.69 ]
33 #77 (302008) xren (gray)
[ 0.77 / 0.81 ]		 #71 (376043) Ultrametric Contour Maps
[ 0.78 / 0.81 ]
34 #87 (85048) Global Probability of Boundary (gray)
[ 0.77 / 0.81 ]		 #82 (241048) Ultrametric Contour Maps
[ 0.78 / 0.80 ]
35 #72 (306005) Global Probability of Boundary (gray)
[ 0.76 / 0.69 ]		 #21 (126007) Global Probability of Boundary (color)
[ 0.78 / 0.87 ]
36 #31 (260058) Global Probability of Boundary (gray)
[ 0.76 / 0.70 ]		 #14 (43074) xren (color)
[ 0.78 / 0.72 ]
37 #59 (134035) xren (gray)
[ 0.76 / 0.67 ]		 #65 (3096) Global Probability of Boundary (color)
[ 0.78 / 0.74 ]
38 #66 (41069) Global Probability of Boundary (gray)
[ 0.76 / 0.87 ]		 #54 (97033) Global Probability of Boundary (color)
[ 0.77 / 0.84 ]
39 #9 (24077) Global Probability of Boundary (gray)
[ 0.76 / 0.72 ]		 #85 (66053) Ultrametric Contour Maps
[ 0.77 / 0.81 ]
40 #44 (229036) Global Probability of Boundary (gray)
[ 0.76 / 0.86 ]		 #27 (304034) Ultrametric Contour Maps
[ 0.77 / 0.84 ]
41 #60 (223061) Global Probability of Boundary (gray)
[ 0.76 / 0.79 ]		 #38 (285079) Ultrametric Contour Maps
[ 0.77 / 0.69 ]
42 #61 (253055) Boosted Edge Learning
[ 0.75 / 0.86 ]		 #90 (361010) Global Probability of Boundary (color)
[ 0.77 / 0.91 ]
43 #89 (351093) Global Probability of Boundary (gray)
[ 0.75 / 0.88 ]		 #8 (295087) Ultrametric Contour Maps
[ 0.77 / 0.82 ]
44 #47 (167083) xren (gray)
[ 0.75 / 0.85 ]		 #41 (14037) Global Probability of Boundary (color)
[ 0.77 / 0.77 ]
45 #76 (106024) Global Probability of Boundary (gray)
[ 0.75 / 0.87 ]		 #87 (85048) Global Probability of Boundary (color)
[ 0.76 / 0.85 ]
46 #18 (219090) xren (gray)
[ 0.74 / 0.89 ]		 #31 (260058) Ultrametric Contour Maps
[ 0.76 / 0.73 ]
47 #83 (65033) Global Probability of Boundary (gray)
[ 0.74 / 0.76 ]		 #57 (19021) xren (color)
[ 0.76 / 0.80 ]
48 #63 (210088) xren (gray)
[ 0.74 / 0.28 ]		 #76 (106024) Ultrametric Contour Maps
[ 0.76 / 0.84 ]
49 #46 (271035) Global Probability of Boundary (gray)
[ 0.73 / 0.85 ]		 #72 (306005) Ultrametric Contour Maps
[ 0.76 / 0.67 ]
50 #26 (253027) Brightness / Texture Gradients
[ 0.73 / 0.85 ]		 #67 (21077) Ultrametric Contour Maps
[ 0.76 / 0.82 ]
51 #90 (361010) Brightness / Texture Gradients
[ 0.73 / 0.90 ]		 #77 (302008) xren (color)
[ 0.76 / 0.86 ]
52 #64 (86068) Global Probability of Boundary (gray)
[ 0.73 / 0.78 ]		 #59 (134035) xren (color)
[ 0.75 / 0.54 ]
53 #57 (19021) xren (gray)
[ 0.72 / 0.81 ]		 #89 (351093) xren (color)
[ 0.75 / 0.81 ]
54 #38 (285079) Global Probability of Boundary (gray)
[ 0.72 / 0.56 ]		 #83 (65033) Ultrametric Contour Maps
[ 0.75 / 0.81 ]
55 #82 (241048) Global Probability of Boundary (gray)
[ 0.72 / 0.77 ]		 #91 (175043) Global Probability of Boundary (color)
[ 0.75 / 0.50 ]
56 #19 (89072) Global Probability of Boundary (gray)
[ 0.71 / 0.74 ]		 #42 (54082) Global Probability of Boundary (color)
[ 0.75 / 0.68 ]
57 #67 (21077) Global Probability of Boundary (gray)
[ 0.71 / 0.84 ]		 #86 (143090) Global Probability of Boundary (color)
[ 0.74 / 0.84 ]
58 #50 (148089) xren (gray)
[ 0.71 / 0.64 ]		 #32 (41033) Ultrametric Contour Maps
[ 0.74 / 0.88 ]
59 #52 (145086) xren (gray)
[ 0.71 / 0.75 ]		 #62 (148026) Ultrametric Contour Maps
[ 0.74 / 0.70 ]
60 #74 (33039) Global Probability of Boundary (gray)
[ 0.71 / 0.74 ]		 #56 (208001) Ultrametric Contour Maps
[ 0.73 / 0.78 ]
61 #56 (208001) xren (gray)
[ 0.70 / 0.64 ]		 #18 (219090) Ultrametric Contour Maps
[ 0.73 / 0.90 ]
62 #16 (86000) xren (gray)
[ 0.70 / 0.78 ]		 #33 (291000) Global Probability of Boundary (color)
[ 0.73 / 0.80 ]
63 #41 (14037) Global Probability of Boundary (gray)
[ 0.70 / 0.82 ]		 #60 (223061) Boosted Edge Learning (color)
[ 0.73 / 0.60 ]
64 #2 (170057) xren (gray)
[ 0.70 / 0.61 ]		 #61 (253055) Boosted Edge Learning (color)
[ 0.72 / 0.95 ]
65 #24 (296007) Global Probability of Boundary (gray)
[ 0.69 / 0.80 ]		 #3 (58060) Boosted Edge Learning (color)
[ 0.72 / 0.52 ]
66 #96 (304074) Global Probability of Boundary (gray)
[ 0.69 / 0.85 ]		 #46 (271035) Global Probability of Boundary (color)
[ 0.72 / 0.82 ]
67 #32 (41033) xren (gray)
[ 0.68 / 0.88 ]		 #16 (86000) Global Probability of Boundary (color)
[ 0.72 / 0.73 ]
68 #29 (103070) Global Probability of Boundary (gray)
[ 0.68 / 0.80 ]		 #51 (160068) xren (color)
[ 0.71 / 0.91 ]
69 #34 (109053) Global Probability of Boundary (gray)
[ 0.68 / 0.77 ]		 #93 (105025) Global Probability of Boundary (color)
[ 0.71 / 0.77 ]
70 #92 (87046) Global Probability of Boundary (gray)
[ 0.68 / 0.91 ]		 #29 (103070) Global Probability of Boundary (color)
[ 0.71 / 0.79 ]
71 #22 (156065) Global Probability of Boundary (gray)
[ 0.67 / 0.65 ]		 #74 (33039) Ultrametric Contour Maps
[ 0.69 / 0.75 ]
72 #98 (159008) Global Probability of Boundary (gray)
[ 0.67 / 0.70 ]		 #96 (304074) Ultrametric Contour Maps
[ 0.69 / 0.93 ]
73 #100 (69020) xren (gray)
[ 0.67 / 0.82 ]		 #25 (175032) xren (color)
[ 0.68 / 0.73 ]
74 #93 (105025) Global Probability of Boundary (gray)
[ 0.66 / 0.80 ]		 #9 (24077) Brightness / Color / Texture Gradients
[ 0.68 / 0.79 ]
75 #73 (38082) Global Probability of Boundary (gray)
[ 0.65 / 0.63 ]		 #92 (87046) Global Probability of Boundary (color)
[ 0.68 / 0.82 ]
76 #11 (220075) Global Probability of Boundary (gray)
[ 0.64 / 0.67 ]		 #98 (159008) Global Probability of Boundary (color)
[ 0.67 / 0.64 ]
77 #62 (148026) xren (gray)
[ 0.63 / 0.78 ]		 #73 (38082) Global Probability of Boundary (color)
[ 0.67 / 0.74 ]
78 #23 (76053) Brightness / Texture Gradients
[ 0.63 / 0.63 ]		 #2 (170057) Ultrametric Contour Maps
[ 0.66 / 0.76 ]
79 #78 (102061) Global Probability of Boundary (gray)
[ 0.63 / 0.82 ]		 #78 (102061) Boosted Edge Learning (color)
[ 0.66 / 0.85 ]
80 #42 (54082) Global Probability of Boundary (gray)
[ 0.63 / 0.75 ]		 #34 (109053) Global Probability of Boundary (color)
[ 0.66 / 0.84 ]
81 #25 (175032) xren (gray)
[ 0.63 / 0.85 ]		 #23 (76053) Global Probability of Boundary (color)
[ 0.66 / 0.58 ]
82 #70 (123074) Global Probability of Boundary (gray)
[ 0.63 / 0.90 ]		 #64 (86068) Global Probability of Boundary (color)
[ 0.65 / 0.73 ]
83 #84 (55073) Global Probability of Boundary (gray)
[ 0.62 / 0.67 ]		 #84 (55073) Global Probability of Boundary (color)
[ 0.65 / 0.65 ]
84 #88 (42012) Global Probability of Boundary (gray)
[ 0.62 / 0.83 ]		 #50 (148089) Global Probability of Boundary (color)
[ 0.65 / 0.70 ]
85 #71 (376043) xren (gray)
[ 0.62 / 0.87 ]		 #15 (16077) Global Probability of Boundary (color)
[ 0.64 / 0.87 ]
86 #15 (16077) Global Probability of Boundary (gray)
[ 0.61 / 0.89 ]		 #88 (42012) Ultrametric Contour Maps
[ 0.64 / 0.79 ]
87 #33 (291000) Global Probability of Boundary (gray)
[ 0.61 / 0.71 ]		 #11 (220075) Ultrametric Contour Maps
[ 0.64 / 0.78 ]
88 #4 (163085) xren (gray)
[ 0.60 / 0.72 ]		 #4 (163085) xren (color)
[ 0.63 / 0.73 ]
89 #3 (58060) xren (gray)
[ 0.58 / 0.71 ]		 #28 (86016) Global Probability of Boundary (color)
[ 0.61 / 0.77 ]
90 #40 (69040) xren (gray)
[ 0.57 / 0.50 ]		 #94 (236037) Global Probability of Boundary (color)
[ 0.60 / 0.64 ]
91 #27 (304034) Segmentation Induced by Scale Invariance
[ 0.55 / 0.83 ]		 #75 (108005) Global Probability of Boundary (color)
[ 0.60 / 0.81 ]
92 #48 (12084) Gradient Magnitude
[ 0.54 / 0.64 ]		 #63 (210088) Ultrametric Contour Maps
[ 0.60 / 0.54 ]
93 #94 (236037) Global Probability of Boundary (gray)
[ 0.54 / 0.82 ]		 #19 (89072) Global Probability of Boundary (color)
[ 0.59 / 0.84 ]
94 #75 (108005) Texture Gradient
[ 0.54 / 0.78 ]		 #70 (123074) Ultrametric Contour Maps
[ 0.59 / 0.87 ]
95 #35 (130026) Boosted Edge Learning
[ 0.52 / 0.77 ]		 #40 (69040) xren (color)
[ 0.54 / 0.50 ]
96 #28 (86016) Global Probability of Boundary (gray)
[ 0.52 / 0.83 ]		 #30 (8023) Global Probability of Boundary (color)
[ 0.54 / 0.81 ]
97 #91 (175043) Global Probability of Boundary (gray)
[ 0.51 / 0.83 ]		 #35 (130026) Global Probability of Boundary (color)
[ 0.53 / 0.70 ]
98 #30 (8023) Global Probability of Boundary (gray)
[ 0.50 / 0.72 ]		 #69 (108070) Global Probability of Boundary (color)
[ 0.47 / 0.62 ]
99 #37 (108082) Texture Gradient
[ 0.47 / 0.88 ]		 #37 (108082) Global Probability of Boundary (color)
[ 0.44 / 0.90 ]
100 #69 (108070) Global Probability of Boundary (gray)
[ 0.46 / 0.69 ]		 #48 (12084) Brightness / Texture Gradients
[ 0.44 / 0.62 ]

Page generated on 14-Jan-2009 15:58:04.