Research Article
A Scene Text Detector for Text with Arbitrary Shapes
Table 1
Experimental results on CTW1500.
| Method | Ext. | CTW1500 | Precision | Recall | F-measure | Time |
| CTPN [3] | — | 60.4 | 53.8 | 56.9 | 0.14 | SegLink [44] | — | 42.3 | 40.0 | 40.8 | 0.049 | EAST [8] | — | 78.7 | 49.1 | 60.4 | 0.076 | TextSnake [11] | — | 65.4 | 63.4 | 64.4 | 0.909 | DB-ResNet-18 [43] | — | 84.8 | 77.5 | 81.0 | 0.001 | PSENet [12] | | 84.8 | 78.0 | 80.9 | 0.429 | DB-ResNet-18 [43] | — | 84.8 | 77.5 | 81.0 | 0.018 | CRAFT [45] | | 87.6 | 79.9 | 83.6 | 0.116 | DB-ResNet-50 [43] | | 86.9 | 80.2 | 83.4 | 0.045 | TextCohesion (ours) | | 88.0 | 84.6 | 86.3 | 0.206 |
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Ext. indicates external data.
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