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MLT 2017
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Results
Task 1 - Text Localization
Method: TextBPN++(ResNet-50 with DCN)
Samples
Task 1 - Text Localization - Method:
TextBPN++(ResNet-50 with DCN)
Method info
Samples list
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Table
Sample
Results
IoU - Global
Average Precision
Recall
Precision
Hmean
61
66.67%
66.67%
80.00%
72.73%
62
45.83%
45.83%
91.67%
61.11%
63
0.00%
0.00%
0.00%
0.00%
64
28.75%
75.00%
50.00%
60.00%
65
83.33%
83.33%
100.00%
90.91%
66
66.67%
66.67%
40.00%
50.00%
67
42.71%
75.00%
37.50%
50.00%
68
81.82%
81.82%
90.00%
85.71%
69
68.88%
72.46%
96.15%
82.64%
70
100.00%
100.00%
100.00%
100.00%
71
66.67%
66.67%
66.67%
66.67%
72
24.01%
60.00%
54.55%
57.14%
73
86.67%
86.67%
100.00%
92.86%
74
33.82%
35.29%
75.00%
48.00%
75
100.00%
100.00%
100.00%
100.00%
76
83.92%
85.71%
85.71%
85.71%
77
88.75%
100.00%
80.00%
88.89%
78
100.00%
100.00%
100.00%
100.00%
79
100.00%
100.00%
100.00%
100.00%
80
100.00%
100.00%
100.00%
100.00%
Download full table (.csv)
Results
IoU - Global