mirror of
https://github.com/2martens/uni.git
synced 2026-05-06 19:36:26 +02:00
261 lines
4.9 KiB
Plaintext
261 lines
4.9 KiB
Plaintext
# This file shows results of an evaluation of saliencymaps as described in
|
|
# R. Achanta, S. Hemami, F. Estrada and S. Süsstrunk, Frequency-tuned Salient Region Detection, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
|
|
#
|
|
# threshold mean_precision mean_recall
|
|
0 0.1989 1.000
|
|
1 0.1989 1.000
|
|
2 0.1989 1.000
|
|
3 0.1989 1.000
|
|
4 0.1989 1.000
|
|
5 0.1989 1.000
|
|
6 0.1989 1.000
|
|
7 0.1989 1.000
|
|
8 0.1989 1.000
|
|
9 0.1989 1.000
|
|
10 0.1989 1.000
|
|
11 0.1989 1.000
|
|
12 0.1989 1.000
|
|
13 0.1989 1.000
|
|
14 0.1990 1.000
|
|
15 0.1990 1.000
|
|
16 0.1990 1.000
|
|
17 0.1990 1.000
|
|
18 0.1990 1.000
|
|
19 0.1990 1.000
|
|
20 0.1990 1.000
|
|
21 0.1990 1.000
|
|
22 0.1990 1.000
|
|
23 0.1993 1.000
|
|
24 0.1993 1.000
|
|
25 0.1993 1.000
|
|
26 0.1993 1.000
|
|
27 0.1993 1.000
|
|
28 0.1993 1.000
|
|
29 0.1996 1.000
|
|
30 0.1996 1.000
|
|
31 0.1996 1.000
|
|
32 0.1996 1.000
|
|
33 0.1996 1.000
|
|
34 0.1996 1.000
|
|
35 0.2001 1.000
|
|
36 0.2001 1.000
|
|
37 0.2001 1.000
|
|
38 0.2001 1.000
|
|
39 0.2007 1.000
|
|
40 0.2007 1.000
|
|
41 0.2007 1.000
|
|
42 0.2007 1.000
|
|
43 0.2014 1.000
|
|
44 0.2014 1.000
|
|
45 0.2014 1.000
|
|
46 0.2014 1.000
|
|
47 0.2022 1.000
|
|
48 0.2022 1.000
|
|
49 0.2022 1.000
|
|
50 0.2022 1.000
|
|
51 0.2032 0.9999
|
|
52 0.2032 0.9999
|
|
53 0.2032 0.9999
|
|
54 0.2043 0.9999
|
|
55 0.2043 0.9999
|
|
56 0.2043 0.9999
|
|
57 0.2056 0.9999
|
|
58 0.2056 0.9999
|
|
59 0.2056 0.9999
|
|
60 0.2070 0.9998
|
|
61 0.2070 0.9998
|
|
62 0.2085 0.9998
|
|
63 0.2085 0.9998
|
|
64 0.2085 0.9998
|
|
65 0.2101 0.9997
|
|
66 0.2101 0.9997
|
|
67 0.2120 0.9996
|
|
68 0.2120 0.9996
|
|
69 0.2120 0.9996
|
|
70 0.2139 0.9995
|
|
71 0.2139 0.9995
|
|
72 0.2160 0.9994
|
|
73 0.2160 0.9994
|
|
74 0.2182 0.9992
|
|
75 0.2182 0.9992
|
|
76 0.2205 0.9991
|
|
77 0.2205 0.9991
|
|
78 0.2229 0.9989
|
|
79 0.2229 0.9989
|
|
80 0.2255 0.9987
|
|
81 0.2255 0.9987
|
|
82 0.2282 0.9985
|
|
83 0.2282 0.9985
|
|
84 0.2310 0.9982
|
|
85 0.2310 0.9982
|
|
86 0.2340 0.9980
|
|
87 0.2371 0.9977
|
|
88 0.2371 0.9977
|
|
89 0.2402 0.9974
|
|
90 0.2402 0.9974
|
|
91 0.2435 0.9970
|
|
92 0.2435 0.9970
|
|
93 0.2469 0.9966
|
|
94 0.2503 0.9962
|
|
95 0.2503 0.9962
|
|
96 0.2539 0.9957
|
|
97 0.2577 0.9952
|
|
98 0.2577 0.9952
|
|
99 0.2616 0.9946
|
|
100 0.2655 0.9939
|
|
101 0.2655 0.9939
|
|
102 0.2696 0.9932
|
|
103 0.2739 0.9925
|
|
104 0.2739 0.9925
|
|
105 0.2783 0.9917
|
|
106 0.2828 0.9909
|
|
107 0.2873 0.9900
|
|
108 0.2873 0.9900
|
|
109 0.2920 0.9891
|
|
110 0.2969 0.9881
|
|
111 0.3018 0.9871
|
|
112 0.3018 0.9871
|
|
113 0.3069 0.9862
|
|
114 0.3122 0.9851
|
|
115 0.3176 0.9840
|
|
116 0.3231 0.9828
|
|
117 0.3231 0.9828
|
|
118 0.3287 0.9815
|
|
119 0.3344 0.9802
|
|
120 0.3402 0.9789
|
|
121 0.3461 0.9775
|
|
122 0.3520 0.9761
|
|
123 0.3580 0.9745
|
|
124 0.3580 0.9745
|
|
125 0.3640 0.9729
|
|
126 0.3702 0.9712
|
|
127 0.3766 0.9695
|
|
128 0.3830 0.9676
|
|
129 0.3895 0.9658
|
|
130 0.3961 0.9639
|
|
131 0.4027 0.9619
|
|
132 0.4094 0.9599
|
|
133 0.4162 0.9579
|
|
134 0.4230 0.9558
|
|
135 0.4299 0.9536
|
|
136 0.4369 0.9514
|
|
137 0.4439 0.9491
|
|
138 0.4509 0.9467
|
|
139 0.4580 0.9443
|
|
140 0.4651 0.9418
|
|
141 0.4722 0.9392
|
|
142 0.4793 0.9366
|
|
143 0.4864 0.9338
|
|
144 0.4936 0.9310
|
|
145 0.5008 0.9281
|
|
146 0.5080 0.9252
|
|
147 0.5152 0.9222
|
|
148 0.5224 0.9191
|
|
149 0.5368 0.9128
|
|
150 0.5438 0.9094
|
|
151 0.5510 0.9061
|
|
152 0.5581 0.9026
|
|
153 0.5652 0.8992
|
|
154 0.5723 0.8956
|
|
155 0.5793 0.8920
|
|
156 0.5932 0.8846
|
|
157 0.5999 0.8808
|
|
158 0.6066 0.8770
|
|
159 0.6131 0.8730
|
|
160 0.6258 0.8649
|
|
161 0.6320 0.8608
|
|
162 0.6382 0.8565
|
|
163 0.6444 0.8523
|
|
164 0.6565 0.8435
|
|
165 0.6623 0.8390
|
|
166 0.6681 0.8345
|
|
167 0.6738 0.8298
|
|
168 0.6849 0.8203
|
|
169 0.6903 0.8154
|
|
170 0.6955 0.8105
|
|
171 0.7058 0.8004
|
|
172 0.7107 0.7953
|
|
173 0.7156 0.7900
|
|
174 0.7250 0.7794
|
|
175 0.7295 0.7741
|
|
176 0.7383 0.7632
|
|
177 0.7425 0.7576
|
|
178 0.7467 0.7519
|
|
179 0.7549 0.7403
|
|
180 0.7590 0.7343
|
|
181 0.7667 0.7222
|
|
182 0.7705 0.7161
|
|
183 0.7778 0.7036
|
|
184 0.7814 0.6973
|
|
185 0.7849 0.6911
|
|
186 0.7920 0.6785
|
|
187 0.7955 0.6722
|
|
188 0.8023 0.6594
|
|
189 0.8057 0.6531
|
|
190 0.8123 0.6404
|
|
191 0.8188 0.6273
|
|
192 0.8220 0.6207
|
|
193 0.8279 0.6074
|
|
194 0.8307 0.6007
|
|
195 0.8359 0.5870
|
|
196 0.8385 0.5800
|
|
197 0.8432 0.5658
|
|
198 0.8475 0.5513
|
|
199 0.8495 0.5440
|
|
200 0.8535 0.5293
|
|
201 0.8569 0.5146
|
|
202 0.8586 0.5073
|
|
203 0.8619 0.4923
|
|
204 0.8649 0.4772
|
|
205 0.8663 0.4696
|
|
206 0.8691 0.4544
|
|
207 0.8717 0.4392
|
|
208 0.8729 0.4316
|
|
209 0.8754 0.4165
|
|
210 0.8778 0.4013
|
|
211 0.8800 0.3861
|
|
212 0.8811 0.3784
|
|
213 0.8833 0.3631
|
|
214 0.8856 0.3481
|
|
215 0.8877 0.3332
|
|
216 0.8896 0.3185
|
|
217 0.8913 0.3037
|
|
218 0.8921 0.2964
|
|
219 0.8938 0.2819
|
|
220 0.8954 0.2676
|
|
221 0.8968 0.2534
|
|
222 0.8981 0.2392
|
|
223 0.8992 0.2252
|
|
224 0.9001 0.2116
|
|
225 0.9010 0.1983
|
|
226 0.9014 0.1918
|
|
227 0.9023 0.1792
|
|
228 0.9031 0.1673
|
|
229 0.9038 0.1558
|
|
230 0.9044 0.1449
|
|
231 0.9053 0.1347
|
|
232 0.9065 0.1250
|
|
233 0.9072 0.1155
|
|
234 0.9076 0.1066
|
|
235 0.9075 0.09809
|
|
236 0.9067 0.08995
|
|
237 0.9066 0.08229
|
|
238 0.9063 0.07512
|
|
239 0.9052 0.06512
|
|
240 0.9051 0.05904
|
|
241 0.9048 0.05330
|
|
242 0.9047 0.04790
|
|
243 0.9043 0.04277
|
|
244 0.9036 0.03787
|
|
245 0.9017 0.03327
|
|
246 0.9011 0.02900
|
|
247 0.9004 0.02321
|
|
248 0.8996 0.01976
|
|
249 0.8990 0.01643
|
|
250 0.8983 0.01345
|
|
251 0.8964 0.01070
|
|
252 0.8951 0.006874
|
|
253 0.8944 0.004407
|
|
254 0.8948 0.002368
|
|
255 0.8955 0.0008420
|