聚焦难样本的区分尺度的文字检测方法

林泓,卢瑶瑶

Scale differentiated text detection method focusing on hard examples

Hong LIN,Yao-yao LU

表 1 COCO-Text数据集上不同候选框提取网络的召回率

Tab.1 Recall of different region proposal networks on dataset COCO-Text

方法 $R_{100}^{0.5}$ $R_{100}^{0.{\rm{7}}}$ $\bar R_{100}^{}$ $R_{{\rm{2}}00}^{0.5}$ $R_{{\rm{2}}00}^{0.{\rm{7}}}$ $\bar R_{{\rm{2}}00}^{}$ $R_{300}^{0.5}$ $R_{300}^{0.7}$ $\bar R_{300}^{}$ Faster RCNN-RPN 70.8 28.3 38.7 76.1 30.8 39.0 83.6 33.8 41.7 SSD-RPN 71.4 37.6 39.7 77.1 39.5 45.1 86.7 48.3 47.8 PVANet-RPN 71.7 38.1 40.2 78.3 40.2 43.3 87.6 43.4 44.9 FPN-RPN 68.1 39.9 41.6 80.3 40.9 45.2 88.6 48.8 49.2 Baseline1 72.3 37.3 43.2 81.0 45.0 45.5 88.9 47.0 48.9 Baseline2 81.5 40.0 43.5 82.7 45.1 45.8 88.9 49.0 49.2 Baseline3 81.8 40.2 43.6 83.0 45.3 46.1 89.3 49.2 49.3 RefineScale-RPN 76.8 41.0 43.5 84.6 45.5 46.4 89.8 49.3 49.5