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ReCTS 2019
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Results
Task 4 - End-to-End Text Spotting
Method: CPN (multi-scale)
Samples
Task 4 - End-to-End Text Spotting - Method:
CPN (multi-scale)
Method info
Samples list
Per sample details
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Table
Sample
Results
Default
Recall
Precision
Hmean
1-NED
1
80.00%
80.00%
80.00%
66.67%
2
100.00%
100.00%
100.00%
79.17%
3
100.00%
100.00%
100.00%
100.00%
4
100.00%
100.00%
100.00%
88.89%
5
100.00%
100.00%
100.00%
100.00%
6
83.33%
76.92%
80.00%
63.33%
7
93.33%
100.00%
96.55%
93.33%
8
100.00%
100.00%
100.00%
100.00%
9
100.00%
100.00%
100.00%
88.10%
10
50.00%
33.33%
40.00%
25.00%
11
100.00%
71.43%
83.33%
71.43%
12
66.67%
100.00%
80.00%
66.67%
13
100.00%
50.00%
66.67%
50.00%
14
88.89%
80.00%
84.21%
68.94%
15
100.00%
100.00%
100.00%
100.00%
16
80.00%
100.00%
88.89%
52.00%
17
100.00%
100.00%
100.00%
100.00%
18
100.00%
100.00%
100.00%
77.27%
19
100.00%
100.00%
100.00%
100.00%
20
100.00%
93.75%
96.77%
93.75%
Download full table (.csv)
Results
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