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Boundary Detection Benchmark: Image Ranking

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	Grayscale			Color
Rank	ID	Image	Best Algorithm [Score]	ID	Image	Best 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	#49 (69015)		Global Probability of Boundary (gray) [ 0.82 / 0.71 ]	#49 (69015)		Global Probability of Boundary (color) [ 0.85 / 0.74 ]
10	#55 (182053)		Global Probability of Boundary (gray) [ 0.82 / 0.83 ]	#52 (145086)		Boosted Edge Learning (color) [ 0.85 / 0.85 ]
11	#99 (385039)		Boosted Edge Learning [ 0.81 / 0.84 ]	#36 (241004)		Ultrametric Contour Maps [ 0.85 / 0.94 ]
12	#68 (196073)		Brightness / Texture Gradients [ 0.81 / 0.87 ]	#100 (69020)		Ultrametric Contour Maps [ 0.84 / 0.86 ]
13	#79 (197017)		Brightness / Texture Gradients [ 0.81 / 0.96 ]	#68 (196073)		Brightness / Color / Texture Gradients [ 0.84 / 0.85 ]
14	#80 (299086)		Global Probability of Boundary (gray) [ 0.81 / 0.90 ]	#81 (37073)		Boosted Edge Learning (color) [ 0.84 / 0.78 ]
15	#53 (216081)		Global Probability of Boundary (gray) [ 0.81 / 0.90 ]	#1 (119082)		Global Probability of Boundary (color) [ 0.83 / 0.80 ]
16	#10 (78004)		Global Probability of Boundary (gray) [ 0.80 / 0.80 ]	#79 (197017)		Ultrametric Contour Maps [ 0.83 / 0.89 ]
17	#45 (62096)		Brightness / Texture Gradients [ 0.80 / 0.87 ]	#20 (300091)		Global Probability of Boundary (color) [ 0.82 / 0.84 ]
18	#43 (189080)		Global Probability of Boundary (gray) [ 0.80 / 0.85 ]	#95 (101087)		Global Probability of Boundary (color) [ 0.82 / 0.86 ]
19	#12 (45096)		Global Probability of Boundary (gray) [ 0.79 / 0.80 ]	#10 (78004)		Ultrametric Contour Maps [ 0.81 / 0.81 ]
20	#85 (66053)		Global Probability of Boundary (gray) [ 0.79 / 0.77 ]	#47 (167083)		Global Probability of Boundary (color) [ 0.81 / 0.75 ]
21	#20 (300091)		Gradient Magnitude [ 0.79 / 0.83 ]	#99 (385039)		Ultrametric Contour Maps [ 0.81 / 0.83 ]
22	#21 (126007)		Global Probability of Boundary (gray) [ 0.78 / 0.85 ]	#24 (296007)		Ultrametric Contour Maps [ 0.80 / 0.83 ]
23	#6 (167062)		Gradient Magnitude [ 0.78 / 0.67 ]	#80 (299086)		Brightness / Color / Texture Gradients [ 0.80 / 0.82 ]
24	#86 (143090)		Global Probability of Boundary (gray) [ 0.78 / 0.85 ]	#12 (45096)		Global Probability of Boundary (color) [ 0.80 / 0.77 ]
25	#95 (101087)		Global Probability of Boundary (gray) [ 0.78 / 0.93 ]	#55 (182053)		Global Probability of Boundary (color) [ 0.80 / 0.75 ]
26	#54 (97033)		Global Probability of Boundary (gray) [ 0.78 / 0.74 ]	#7 (157055)		Ultrametric Contour Maps [ 0.80 / 0.78 ]
27	#13 (38092)		Boosted Edge Learning [ 0.78 / 0.86 ]	#13 (38092)		Boosted Edge Learning (color) [ 0.79 / 0.87 ]
28	#8 (295087)		Global Probability of Boundary (gray) [ 0.78 / 0.83 ]	#26 (253027)		Global Probability of Boundary (color) [ 0.79 / 0.77 ]
29	#39 (147091)		Global Probability of Boundary (gray) [ 0.77 / 0.72 ]	#43 (189080)		Global Probability of Boundary (color) [ 0.79 / 0.87 ]
30	#87 (85048)		Global Probability of Boundary (gray) [ 0.77 / 0.81 ]	#39 (147091)		Brightness / Texture Gradients [ 0.79 / 0.87 ]
31	#72 (306005)		Global Probability of Boundary (gray) [ 0.76 / 0.69 ]	#66 (41069)		Ultrametric Contour Maps [ 0.79 / 0.79 ]
32	#7 (157055)		Global Probability of Boundary (gray) [ 0.76 / 0.67 ]	#22 (156065)		Ultrametric Contour Maps [ 0.78 / 0.69 ]
33	#31 (260058)		Global Probability of Boundary (gray) [ 0.76 / 0.70 ]	#71 (376043)		Ultrametric Contour Maps [ 0.78 / 0.81 ]
34	#66 (41069)		Global Probability of Boundary (gray) [ 0.76 / 0.87 ]	#82 (241048)		Ultrametric Contour Maps [ 0.78 / 0.80 ]
35	#9 (24077)		Global Probability of Boundary (gray) [ 0.76 / 0.72 ]	#21 (126007)		Global Probability of Boundary (color) [ 0.78 / 0.87 ]
36	#44 (229036)		Global Probability of Boundary (gray) [ 0.76 / 0.86 ]	#65 (3096)		Global Probability of Boundary (color) [ 0.78 / 0.74 ]
37	#60 (223061)		Global Probability of Boundary (gray) [ 0.76 / 0.79 ]	#54 (97033)		Global Probability of Boundary (color) [ 0.77 / 0.84 ]
38	#61 (253055)		Boosted Edge Learning [ 0.75 / 0.86 ]	#85 (66053)		Ultrametric Contour Maps [ 0.77 / 0.81 ]
39	#89 (351093)		Global Probability of Boundary (gray) [ 0.75 / 0.88 ]	#27 (304034)		Ultrametric Contour Maps [ 0.77 / 0.84 ]
40	#76 (106024)		Global Probability of Boundary (gray) [ 0.75 / 0.87 ]	#38 (285079)		Ultrametric Contour Maps [ 0.77 / 0.69 ]
41	#59 (134035)		Global Probability of Boundary (gray) [ 0.75 / 0.67 ]	#90 (361010)		Global Probability of Boundary (color) [ 0.77 / 0.91 ]
42	#47 (167083)		Global Probability of Boundary (gray) [ 0.75 / 0.85 ]	#8 (295087)		Ultrametric Contour Maps [ 0.77 / 0.82 ]
43	#1 (119082)		Global Probability of Boundary (gray) [ 0.74 / 0.82 ]	#41 (14037)		Global Probability of Boundary (color) [ 0.77 / 0.77 ]
44	#83 (65033)		Global Probability of Boundary (gray) [ 0.74 / 0.76 ]	#87 (85048)		Global Probability of Boundary (color) [ 0.76 / 0.85 ]
45	#18 (219090)		Global Probability of Boundary (gray) [ 0.74 / 0.89 ]	#31 (260058)		Ultrametric Contour Maps [ 0.76 / 0.73 ]
46	#46 (271035)		Global Probability of Boundary (gray) [ 0.73 / 0.85 ]	#76 (106024)		Ultrametric Contour Maps [ 0.76 / 0.84 ]
47	#63 (210088)		Boosted Edge Learning [ 0.73 / 0.28 ]	#72 (306005)		Ultrametric Contour Maps [ 0.76 / 0.67 ]
48	#26 (253027)		Brightness / Texture Gradients [ 0.73 / 0.85 ]	#67 (21077)		Ultrametric Contour Maps [ 0.76 / 0.82 ]
49	#90 (361010)		Brightness / Texture Gradients [ 0.73 / 0.90 ]	#77 (302008)		Global Probability of Boundary (color) [ 0.76 / 0.86 ]
50	#64 (86068)		Global Probability of Boundary (gray) [ 0.73 / 0.78 ]	#83 (65033)		Ultrametric Contour Maps [ 0.75 / 0.81 ]
51	#38 (285079)		Global Probability of Boundary (gray) [ 0.72 / 0.56 ]	#57 (19021)		Global Probability of Boundary (color) [ 0.75 / 0.80 ]
52	#82 (241048)		Global Probability of Boundary (gray) [ 0.72 / 0.77 ]	#91 (175043)		Global Probability of Boundary (color) [ 0.75 / 0.50 ]
53	#19 (89072)		Global Probability of Boundary (gray) [ 0.71 / 0.74 ]	#59 (134035)		Ultrametric Contour Maps [ 0.75 / 0.54 ]
54	#67 (21077)		Global Probability of Boundary (gray) [ 0.71 / 0.84 ]	#42 (54082)		Global Probability of Boundary (color) [ 0.75 / 0.68 ]
55	#52 (145086)		Boosted Edge Learning [ 0.71 / 0.75 ]	#89 (351093)		Global Probability of Boundary (color) [ 0.75 / 0.81 ]
56	#74 (33039)		Global Probability of Boundary (gray) [ 0.71 / 0.74 ]	#86 (143090)		Global Probability of Boundary (color) [ 0.74 / 0.84 ]
57	#50 (148089)		Global Probability of Boundary (gray) [ 0.71 / 0.64 ]	#32 (41033)		Ultrametric Contour Maps [ 0.74 / 0.88 ]
58	#41 (14037)		Global Probability of Boundary (gray) [ 0.70 / 0.82 ]	#62 (148026)		Ultrametric Contour Maps [ 0.74 / 0.70 ]
59	#16 (86000)		Brightness / Texture Gradients [ 0.70 / 0.78 ]	#56 (208001)		Ultrametric Contour Maps [ 0.73 / 0.78 ]
60	#57 (19021)		Global Probability of Boundary (gray) [ 0.70 / 0.81 ]	#18 (219090)		Ultrametric Contour Maps [ 0.73 / 0.90 ]
61	#77 (302008)		Texture Gradient [ 0.70 / 0.81 ]	#33 (291000)		Global Probability of Boundary (color) [ 0.73 / 0.80 ]
62	#24 (296007)		Global Probability of Boundary (gray) [ 0.69 / 0.80 ]	#60 (223061)		Boosted Edge Learning (color) [ 0.73 / 0.60 ]
63	#96 (304074)		Global Probability of Boundary (gray) [ 0.69 / 0.85 ]	#14 (43074)		min-cover [ 0.73 / 0.72 ]
64	#56 (208001)		Global Probability of Boundary (gray) [ 0.68 / 0.64 ]	#61 (253055)		Boosted Edge Learning (color) [ 0.72 / 0.95 ]
65	#2 (170057)		Gradient Magnitude [ 0.68 / 0.61 ]	#3 (58060)		Boosted Edge Learning (color) [ 0.72 / 0.52 ]
66	#14 (43074)		Brightness Gradient [ 0.68 / 0.77 ]	#46 (271035)		Global Probability of Boundary (color) [ 0.72 / 0.82 ]
67	#32 (41033)		Global Probability of Boundary (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 ]	#93 (105025)		Global Probability of Boundary (color) [ 0.71 / 0.77 ]
69	#34 (109053)		Global Probability of Boundary (gray) [ 0.68 / 0.77 ]	#29 (103070)		Global Probability of Boundary (color) [ 0.71 / 0.79 ]
70	#92 (87046)		Global Probability of Boundary (gray) [ 0.68 / 0.91 ]	#51 (160068)		Global Probability of Boundary (color) [ 0.69 / 0.91 ]
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)		Global Probability of Boundary (gray) [ 0.66 / 0.82 ]	#9 (24077)		Brightness / Color / Texture Gradients [ 0.68 / 0.79 ]
74	#93 (105025)		Global Probability of Boundary (gray) [ 0.66 / 0.80 ]	#92 (87046)		Global Probability of Boundary (color) [ 0.68 / 0.82 ]
75	#73 (38082)		Global Probability of Boundary (gray) [ 0.65 / 0.63 ]	#98 (159008)		Global Probability of Boundary (color) [ 0.67 / 0.64 ]
76	#11 (220075)		Global Probability of Boundary (gray) [ 0.64 / 0.67 ]	#73 (38082)		Global Probability of Boundary (color) [ 0.67 / 0.74 ]
77	#23 (76053)		Brightness / Texture Gradients [ 0.63 / 0.63 ]	#2 (170057)		Ultrametric Contour Maps [ 0.66 / 0.76 ]
78	#78 (102061)		Global Probability of Boundary (gray) [ 0.63 / 0.82 ]	#78 (102061)		Boosted Edge Learning (color) [ 0.66 / 0.85 ]
79	#42 (54082)		Global Probability of Boundary (gray) [ 0.63 / 0.75 ]	#34 (109053)		Global Probability of Boundary (color) [ 0.66 / 0.84 ]
80	#70 (123074)		Global Probability of Boundary (gray) [ 0.63 / 0.90 ]	#23 (76053)		Global Probability of Boundary (color) [ 0.66 / 0.58 ]
81	#25 (175032)		Global Probability of Boundary (gray) [ 0.62 / 0.85 ]	#64 (86068)		Global Probability of Boundary (color) [ 0.65 / 0.73 ]
82	#62 (148026)		Segmentation Induced by Scale Invariance [ 0.62 / 0.78 ]	#84 (55073)		Global Probability of Boundary (color) [ 0.65 / 0.65 ]
83	#84 (55073)		Global Probability of Boundary (gray) [ 0.62 / 0.67 ]	#25 (175032)		Global Probability of Boundary (color) [ 0.65 / 0.73 ]
84	#88 (42012)		Global Probability of Boundary (gray) [ 0.62 / 0.83 ]	#50 (148089)		Global Probability of Boundary (color) [ 0.65 / 0.70 ]
85	#15 (16077)		Global Probability of Boundary (gray) [ 0.61 / 0.89 ]	#15 (16077)		Global Probability of Boundary (color) [ 0.64 / 0.87 ]
86	#33 (291000)		Global Probability of Boundary (gray) [ 0.61 / 0.71 ]	#88 (42012)		Ultrametric Contour Maps [ 0.64 / 0.79 ]
87	#71 (376043)		Global Probability of Boundary (gray) [ 0.61 / 0.87 ]	#11 (220075)		Ultrametric Contour Maps [ 0.64 / 0.78 ]
88	#40 (69040)		Global Probability of Boundary (gray) [ 0.55 / 0.50 ]	#28 (86016)		Global Probability of Boundary (color) [ 0.61 / 0.77 ]
89	#3 (58060)		Global Probability of Boundary (gray) [ 0.55 / 0.71 ]	#94 (236037)		Global Probability of Boundary (color) [ 0.60 / 0.64 ]
90	#27 (304034)		Segmentation Induced by Scale Invariance [ 0.55 / 0.83 ]	#75 (108005)		Global Probability of Boundary (color) [ 0.60 / 0.81 ]
91	#48 (12084)		Gradient Magnitude [ 0.54 / 0.64 ]	#63 (210088)		Ultrametric Contour Maps [ 0.60 / 0.54 ]
92	#94 (236037)		Global Probability of Boundary (gray) [ 0.54 / 0.82 ]	#19 (89072)		Global Probability of Boundary (color) [ 0.59 / 0.84 ]
93	#75 (108005)		Texture Gradient [ 0.54 / 0.78 ]	#70 (123074)		Ultrametric Contour Maps [ 0.59 / 0.87 ]
94	#35 (130026)		Boosted Edge Learning [ 0.52 / 0.77 ]	#30 (8023)		Global Probability of Boundary (color) [ 0.54 / 0.81 ]
95	#28 (86016)		Global Probability of Boundary (gray) [ 0.52 / 0.83 ]	#4 (163085)		Global Probability of Boundary (color) [ 0.53 / 0.73 ]
96	#91 (175043)		Global Probability of Boundary (gray) [ 0.51 / 0.83 ]	#35 (130026)		Global Probability of Boundary (color) [ 0.53 / 0.70 ]
97	#4 (163085)		Global Probability of Boundary (gray) [ 0.50 / 0.72 ]	#40 (69040)		Global Probability of Boundary (color) [ 0.52 / 0.50 ]
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 21-May-2008 17:07:41.