【Paper Reading】【TextBoxess: A Fast Text Detector with a Single Deep Neural Network】
Introduction： 传统文本检测方法步骤： 1) character/word candidate generation：候选词的产生 2) Candidate filtering：候选词过滤 3) grouping：分组 弊端：需要保证每一个模型都正常工作，从而需要耗费大量精力调参和设计启发式规则，这同样也会减慢检测速度 本文：通过一个端对端训练的单一神经网络直接预测单词bounding
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相关文章
- 1. 论文笔记：TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- 2. [论文笔记]TextBoxes A Fast Text Detector with a Single Deep Neural Network
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