# Compact and Accurate Scene Text Detector
## 4 Experiment
### Results
The inference time represents the time needed for obtaining a result for an image, where italic values indicate that the values are borrowed from other studies. \begin{table}
\begin{tabular}{l c c c c c c} \hline \hline
**Method** & **R** & **P** & **F** & **Size** & **Time** & **FLOPS** & **Param** \\ \hline Seglink [10] & 76.80 & 73.10 & 75.00 & 1280 \(\times\) 768 & - & - & - \\ P + E (EAST) [12] & 71.35 & 80.63 & 75.71 & 1280 (long) & 52.3 ms & 23.2 G & 3.2 M \\ Mask TextSpotter [20] & 81.20 & 85.80 & 83.40 & 1000 (short) & _217.39 ms_ & - & - \\ [PERSON] et al. [14] & 80.55 & 86.59 & 83.46 & 1280 \(\times\) 704 & _90.09 ms_ & 166.0 G & 24.2 M \\ PixelLink [3] & 82.00 & 85.50 & 83.70 & 1280 \(\times\) 768 & 275.66 ms & 650.2 G & 20.5 M \\ PSENet [19] & 86.90 & 84.50 & 85.70 & 2240 (long) & _625 ms_ & - & \\ CRAFT [2] & 84.30 & 89.80 & 86.90 & 2240 (long) & 430.01 ms & 1,023.9 G & 20.8 M \\ SPCNET [21] & 85.80 & 88.70 & 87.20 & 848 (short) & - & 470.1 G & 35.5 M \\ CharNet H88 [34] & **89.99** & **91.98** & **90.97** & 2280 (long) & 961.36 ms & 2402.9 G & 89.1 M \\ \hline M + E & 74.65 & 83.20 & 78.66 & 1280 (long) & **46.3 ms** & **16.0 G** & **2.6 M** \\ M + C & 76.36 & 84.99 & 80.44 & 1280 (long) & 49.9 ms & 22.5 G & 3.0 M \\ M + B (CAST) & **76.79** & **85.84** & **81.06** & 1,280 (long) & 53.2 ms & 20.8 G & 2.8 M \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Results with the ICDAR2015 dataset, where \(R\), \(P\), and \(F\) represent the recall, precision, and F1 score, respectively. M and P denote MobilNetV2 and Pvanet, respectively. E, C, and B are the EAST decoder, the CRAFT decoder, and our proposed balanced decoder, respectively. The inference time represents the time needed for obtaining a result for an image, where italic values indicate that the values are borrowed from other studies. \begin{table}
\begin{tabular}{l c c c c c c c} \hline \hline
**Method** & **R** & **P** & **F** & **Size** & **Time** & **FLOPS** & **Param** \\ \hline P + E (EAST) [12] * & 51.83 & 66.18 & 58.13 & 2400 (long) & 277.7 ms & 113.7 G & 3.2 M \\ SPCNET [21] & 66.90 & 73.40 & 70.00 & 848 (short) & - & 470.1 G & 35.5 M \\ PSENet (ResNet152)[19] & 75.35 & 69.18 & 72.13 & original \(\times\) 2 & - & - & - \\ CRAFT [2] & 68.20 & 80.60 & 73.90 & 2560(long) & 1178.80 ms & 1563.62 G & 20.8 M \\ CharNet H-88 [34] & **70.97** & **81.27** & **75.77** & 2280 (long) & 1712.19 ms & 3123.82 G & 89.1 M \\ \hline M + E & 57.31 & 67.29 & 61.90 & 2,400 (long) & **264.0 ms** & **78.7 G** & **2.6 M** \\ M + C & 57.45 & **70.80** & 63.43 & 2400 (long) & 273.4 ms & 110.4G & 3.0 M \\ M + B (CAST) & **58.38** & 70.40 & **63.83** & 2400 (long) & 279.2 ms & 102.1 G & 2.8 M \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Results with ICDAR2017 MLT dataset, where \(R\), \(P\), and \(F\) represent the recall, precision, and F1 score, respectively. An asterisk(*) indicates that the corresponding result is obtained in our own experiment. M and P denote MobilNetV2 and Pvanet, respectively. E, C, and B are the EAST decoder, the CRAFT decoder, and our proposed balanced decoder, respectively. The inference time represents the time needed for obtaining a result for an image, where italic values indicate that the values are borrowed from other studies.