[论文笔记]TextBoxes A Fast Text Detector with a Single Deep Neural Network
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TextBoxes A Fast Text Detector with a Single Deep Neural Network
相比于ssd，创新点如下：
1.改变生成的prior boxes的aspect ratios，改为1,2,3,5,7和10。并且设置了vertical offsets
2.将３×３的卷积核改为1×５，改善了特征提取效果。
3.测试阶段：将输入的image重新变形为5种大小，３００×３００，７００×７００，３００×７００，５００×７００，１６００×１６００，进行测试。
训练阶段：只使用３００×３００大小的图像进行训练。
4.提出利用识别(recognition)来提高检测(detection)的精度。利用识别模型来计算loss，提高检测精度。
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