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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) RJMCMC with beta = 1.0
[ 0.93 / 0.96 ]
2 #6 (167062) RJMCMC with beta = 10.0
[ 0.88 / 0.95 ]
3 #52 (145086) RJMCMC with beta = 2.5
[ 0.85 / 0.85 ]
4 #81 (37073) RJMCMC with beta = 0.2
[ 0.83 / 0.78 ]
5 #45 (62096) RJMCMC with beta = 100.0
[ 0.80 / 0.90 ]
6 #36 (241004) JSEG
[ 0.80 / 0.94 ]
7 #53 (216081) JSEG
[ 0.76 / 0.86 ]
8 #17 (101085) RJMCMC with beta = 5.0
[ 0.75 / 0.93 ]
9 #97 (296059) JSEG
[ 0.75 / 0.88 ]
10 #65 (3096) RJMCMC with beta = 5.0
[ 0.75 / 0.74 ]
11 #1 (119082) JSEG
[ 0.75 / 0.80 ]
12 #61 (253055) RJMCMC with beta = 2.5
[ 0.75 / 0.95 ]
13 #49 (69015) RJMCMC with beta = 0.2
[ 0.75 / 0.74 ]
14 #95 (101087) JSEG
[ 0.74 / 0.86 ]
15 #56 (208001) RJMCMC with beta = 0.2
[ 0.74 / 0.78 ]
16 #38 (285079) RJMCMC with beta = 2.5
[ 0.73 / 0.69 ]
17 #7 (157055) JSEG
[ 0.73 / 0.78 ]
18 #80 (299086) RJMCMC with beta = 5.0
[ 0.73 / 0.82 ]
19 #20 (300091) RJMCMC with beta = 10.0
[ 0.73 / 0.84 ]
20 #43 (189080) RJMCMC with beta = 1.0
[ 0.73 / 0.87 ]
21 #44 (229036) JSEG
[ 0.73 / 0.86 ]
22 #99 (385039) RJMCMC with beta = 2.5
[ 0.72 / 0.83 ]
23 #10 (78004) JSEG
[ 0.72 / 0.81 ]
24 #100 (69020) RJMCMC with beta = 1.0
[ 0.72 / 0.86 ]
25 #90 (361010) RJMCMC with beta = 2.5
[ 0.72 / 0.91 ]
26 #83 (65033) RJMCMC with beta = 0.2
[ 0.72 / 0.81 ]
27 #91 (175043) RJMCMC with beta = 0.5
[ 0.71 / 0.50 ]
28 #55 (182053) RJMCMC with beta = 1.0
[ 0.71 / 0.75 ]
29 #57 (19021) JSEG
[ 0.71 / 0.80 ]
30 #12 (45096) RJMCMC with beta = 2.5
[ 0.71 / 0.77 ]
31 #21 (126007) JSEG
[ 0.71 / 0.87 ]
32 #82 (241048) JSEG
[ 0.71 / 0.80 ]
33 #68 (196073) RJMCMC with beta = 0.5
[ 0.70 / 0.85 ]
34 #46 (271035) JSEG
[ 0.70 / 0.82 ]
35 #54 (97033) JSEG
[ 0.70 / 0.84 ]
36 #39 (147091) RJMCMC with beta = 2.5
[ 0.69 / 0.87 ]
37 #67 (21077) RJMCMC with beta = 1.0
[ 0.69 / 0.82 ]
38 #71 (376043) RJMCMC with beta = 2.5
[ 0.69 / 0.81 ]
39 #79 (197017) RJMCMC with beta = 0.5
[ 0.68 / 0.89 ]
40 #9 (24077) RJMCMC with beta = 0.5
[ 0.68 / 0.79 ]
41 #72 (306005) JSEG
[ 0.68 / 0.67 ]
42 #8 (295087) RJMCMC with beta = 10.0
[ 0.68 / 0.82 ]
43 #13 (38092) RJMCMC with beta = 5.0
[ 0.68 / 0.87 ]
44 #66 (41069) JSEG
[ 0.67 / 0.79 ]
45 #74 (33039) JSEG
[ 0.67 / 0.75 ]
46 #51 (160068) RJMCMC with beta = 0.5
[ 0.67 / 0.91 ]
47 #47 (167083) JSEG
[ 0.67 / 0.75 ]
48 #87 (85048) JSEG
[ 0.66 / 0.85 ]
49 #18 (219090) RJMCMC with beta = 5.0
[ 0.66 / 0.90 ]
50 #77 (302008) JSEG
[ 0.66 / 0.86 ]
51 #62 (148026) RJMCMC with beta = 5.0
[ 0.65 / 0.70 ]
52 #86 (143090) RJMCMC with beta = 0.5
[ 0.65 / 0.84 ]
53 #42 (54082) RJMCMC with beta = 1.0
[ 0.65 / 0.68 ]
54 #89 (351093) JSEG
[ 0.64 / 0.81 ]
55 #31 (260058) RJMCMC with beta = 5.0
[ 0.64 / 0.73 ]
56 #85 (66053) RJMCMC with beta = 2.5
[ 0.64 / 0.81 ]
57 #73 (38082) RJMCMC with beta = 5.0
[ 0.64 / 0.74 ]
58 #58 (227092) RJMCMC with beta = 0.2
[ 0.63 / 0.65 ]
59 #24 (296007) RJMCMC with beta = 2.5
[ 0.63 / 0.83 ]
60 #98 (159008) RJMCMC with beta = 10.0
[ 0.63 / 0.64 ]
61 #32 (41033) JSEG
[ 0.63 / 0.88 ]
62 #76 (106024) RJMCMC with beta = 5.0
[ 0.62 / 0.84 ]
63 #16 (86000) JSEG
[ 0.62 / 0.73 ]
64 #41 (14037) JSEG
[ 0.62 / 0.77 ]
65 #23 (76053) RJMCMC with beta = 1.0
[ 0.61 / 0.58 ]
66 #59 (134035) JSEG
[ 0.61 / 0.54 ]
67 #26 (253027) RJMCMC with beta = 2.5
[ 0.61 / 0.77 ]
68 #3 (58060) JSEG
[ 0.61 / 0.52 ]
69 #11 (220075) RJMCMC with beta = 5.0
[ 0.61 / 0.78 ]
70 #29 (103070) RJMCMC with beta = 0.2
[ 0.60 / 0.79 ]
71 #60 (223061) RJMCMC with beta = 0.5
[ 0.60 / 0.60 ]
72 #14 (43074) JSEG
[ 0.58 / 0.72 ]
73 #27 (304034) RJMCMC with beta = 100.0
[ 0.58 / 0.84 ]
74 #50 (148089) JSEG
[ 0.58 / 0.70 ]
75 #78 (102061) RJMCMC with beta = 1.0
[ 0.57 / 0.85 ]
76 #2 (170057) RJMCMC with beta = 2.5
[ 0.57 / 0.76 ]
77 #25 (175032) RJMCMC with beta = 1.0
[ 0.57 / 0.73 ]
78 #94 (236037) RJMCMC with beta = 1.0
[ 0.56 / 0.64 ]
79 #88 (42012) RJMCMC with beta = 1.0
[ 0.56 / 0.79 ]
80 #22 (156065) RJMCMC with beta = 5.0
[ 0.56 / 0.69 ]
81 #28 (86016) RJMCMC with beta = 1.0
[ 0.54 / 0.77 ]
82 #92 (87046) RJMCMC with beta = 5.0
[ 0.54 / 0.82 ]
83 #63 (210088) RJMCMC with beta = 1.0
[ 0.53 / 0.54 ]
84 #19 (89072) JSEG
[ 0.53 / 0.84 ]
85 #34 (109053) RJMCMC with beta = 10.0
[ 0.53 / 0.84 ]
86 #96 (304074) JSEG
[ 0.53 / 0.93 ]
87 #75 (108005) JSEG
[ 0.53 / 0.81 ]
88 #15 (16077) RJMCMC with beta = 10.0
[ 0.52 / 0.87 ]
89 #33 (291000) JSEG
[ 0.52 / 0.80 ]
90 #84 (55073) JSEG
[ 0.51 / 0.65 ]
91 #64 (86068) RJMCMC with beta = 5.0
[ 0.49 / 0.73 ]
92 #40 (69040) JSEG
[ 0.48 / 0.50 ]
93 #93 (105025) RJMCMC with beta = 2.5
[ 0.45 / 0.77 ]
94 #48 (12084) RJMCMC with beta = 1.0
[ 0.42 / 0.62 ]
95 #37 (108082) JSEG
[ 0.41 / 0.90 ]
96 #4 (163085) JSEG
[ 0.41 / 0.73 ]
97 #70 (123074) RJMCMC with beta = 10.0
[ 0.40 / 0.87 ]
98 #35 (130026) RJMCMC with beta = 5.0
[ 0.40 / 0.70 ]
99 #69 (108070) RJMCMC with beta = 5.0
[ 0.36 / 0.62 ]
100 #30 (8023) RJMCMC with beta = 10.0
[ 0.34 / 0.81 ]

Page generated on 01-Mar-2005 11:52:28.