Paper: arXiv
by Xiang Li, Wenhai Wang, Wenbo Hou, Ruo-Ze Liu, Tong Lu, Jian Yang
DeepInsight@PCALab, Nanjing University of Science and Technology.
IMAGINE Lab@National Key Laboratory for Novel Software Technology, Nanjing University.
Progressive Scale Expansion Network (PSENet) is a text detector which is able to well detect the arbitrary-shape text in natural scene.
Code are coming soon.
Figure 1: Illustration of our overall pipeline.
Figure 2: The procedure of progressive scale expansion algorithm.
| Method | Precision (%) | Recall (%) | F-measure (%) |
|---|---|---|---|
| PSENet-4s | 87.98 | 83.87 | 85.88 |
| PSENet-2s | 89.30 | 85.22 | 87.21 |
| PSENet-1s | 88.71 | 85.51 | 87.08 |
| Method | Precision (%) | Recall (%) | F-measure (%) |
|---|---|---|---|
| PSENet-4s | 75.98 | 67.56 | 71.52 |
| PSENet-2s | 76.97 | 68.35 | 72.40 |
| PSENet-1s | 77.01 | 68.40 | 72.45 |
| Method | Precision (%) | Recall (%) | F-measure (%) |
|---|---|---|---|
| PSENet-4s | 80.49 | 78.13 | 79.29 |
| PSENet-2s | 81.95 | 79.30 | 80.60 |
| PSENet-1s | 82.50 | 79.89 | 81.17 |
| Method | Precision (%) | Recall (%) | F-measure (%) |
|---|---|---|---|
| PSENet-1s | 78.5 | 72.1 | 75.2 |
Figure 3: The results on ICDAR 2015, ICDAR 2017 MLT and SCUT-CTW1500