【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
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
- 3. 《TextBoxes: A Fast Text Detector with a Single Deep Neural Network》阅读翻译
- 4. #Paper Reading# A Neural Attention Model for Abstractive Sentence Summarization
- 5. 论文阅读 | Towards a Robust Deep Neural Network in Text Domain A Survey
- 6. A new deep convolutional neural network for fast hyperspectral image classification Review
- 7. 翻译和笔记--FOTS: Fast Oriented Text Spotting with a Unified Network
- 8. Logistic-Regression-with-a-Neural-Network-mindset
- 9. [Paper Reading] Show and Tell: A Neural Image Caption Generator
- 10. 目标检测--A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- 更多相关文章...
- • SVG
- SVG 教程 - • ASP.NET Text 属性 - ASP.NET 教程
- • 为了进字节跳动，我精选了29道Java经典算法题，带详细讲解
- • RxJava操作符（十）自定义操作符
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
欢迎关注本站公众号,获取更多信息
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
- 3. 《TextBoxes: A Fast Text Detector with a Single Deep Neural Network》阅读翻译
- 4. #Paper Reading# A Neural Attention Model for Abstractive Sentence Summarization
- 5. 论文阅读 | Towards a Robust Deep Neural Network in Text Domain A Survey
- 6. A new deep convolutional neural network for fast hyperspectral image classification Review
- 7. 翻译和笔记--FOTS: Fast Oriented Text Spotting with a Unified Network
- 8. Logistic-Regression-with-a-Neural-Network-mindset
- 9. [Paper Reading] Show and Tell: A Neural Image Caption Generator
- 10. 目标检测--A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection