Research Article
A Scene Text Detector for Text with Arbitrary Shapes
Table 3
Experimental results on ICDAR2015.
| Method | Ext. | ICDAR2015 | Precision | Recall | F-measure | Time |
| CTPN [3] | — | 74.2 | 51.6 | 60.9 | 0.14 | SegLink [44] | — | 73.1 | 76.8 | 75.0 | 0.048 | EAST [8] | — | 83.6 | 73.5 | 78.2 | 0.076 | PixelLink [9] | — | 82.9 | 81.7 | 82.3 | 0.333 | DB-ResNet-18 [43] | — | 86.8 | 78.4 | 82.3 | 0.024 | TextSnake [11] | | 84.9 | 80.4 | 82.6 | 0.909 | Mask textspotter [46] | | 85.8 | 81.2 | 83.4 | 0.208 | PSENet [12] | | 86.9 | 84.5 | 85.7 | 0.429 | CRAFT [48] | | 89.8 | 84.3 | 86.9 | 0.116 | SPCNet [15] | | 88.7 | 85.8 | 87.2 | — | DB-ResNet-50 [43] | | 91.8 | 83.2 | 87.3 | 0.083 | PMTD [49] | | 91.3 | 87.4 | 89.3 | — | TextCohesion (ours) | | 89.2 | 90.2 | 89.7 | 0.206 |
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Ext. indicates external data.
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