ASTER：An Attentional Scene Text Recognizer with Flexible Rectification

【ASTER：An Attentional Scene Text Recognizer with Flexible Rectification】的更多相关文章

ASTER：An Attentional Scene Text Recognizer with Flexible Rectification

代码链接:https://github.com/bgshih/aster 方法概述本文方法主要解决不规则排列文字的文字识别问题,论文为之前一篇CVPR206的paper(Robust Scene Text Recognition with Automatic Rectification,方法简称为RARE)的改进版(journal版). 1. 主要思路针对不规则文字,先矫正成正常线性排列的文字,再识别: 整合矫正网络和识别网络成为一个端到端网络来训练: 矫正网络使用STN,识别网络用经典的s…

论文阅读（XiangBai——【PAMI2018】ASTER_An Attentional Scene Text Recognizer with Flexible Rectification )

目录 XiangBai--[PAMI2018]ASTER_An Attentional Scene Text Recognizer with Flexible Rectification 作者和论文方法概述 1. 主要思路 2. 方法框架和流程 3. 文章亮点方法细节 1. 背景 2. Rectification Network 3. Recognition Network 4. 网络训练实验结果总结与收获参考文献 XiangBai--[PAMI2018]ASTER_An Attent…

深度学习论文翻译解析（二）：An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

论文标题:An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition 论文作者: Baoguang Shi, Xiang Bai and Cong Yao 论文代码的下载地址:http://mc.eistar.net/~xbai/CRNN/crnn_code.zip 论文地址:https://arxiv.org/p…

论文阅读（Weilin Huang——【AAAI2016】Reading Scene Text in Deep Convolutional Sequences）

Weilin Huang--[AAAI2016]Reading Scene Text in Deep Convolutional Sequences 目录作者和相关链接方法概括创新点和贡献方法细节实验结果问题讨论总结与收获点参考文献作者和相关链接论文下载黄伟林主页 , 乔宇,汤晓欧所有作者方法概括解决问题:单词识别主要流程:maxout版的CNN提取特征,RNN(LSTM)进行分类,CTC对结果进行调整.整个流程端到端训练和测试,和白翔的CRNN(参考文献1)方法几…

论文阅读（Xiang Bai——【arXiv2016】Scene Text Detection via Holistic, Multi-Channel Prediction）

Xiang Bai--[arXiv2016]Scene Text Detection via Holistic, Multi-Channel Prediction 目录作者和相关链接方法概括创新点和贡献方法细节实验结果问题讨论总结与收获点参考文献作者和相关链接作者白翔个人主页论文下载方法概括 Step 1: 用修改版的hed(参考文献1)得到text region map(binary), character map(binary), linking orientat…

论文阅读（Weilin Huang——【TIP2016】Text-Attentional Convolutional Neural Network for Scene Text Detection）

Weilin Huang--[TIP2015]Text-Attentional Convolutional Neural Network for Scene Text Detection) 目录作者和相关链接方法概括创新点和贡献方法细节实验结果问题讨论总结与收获点作者补充信息参考文献作者和相关链接论文下载作者: tong he, 黄伟林,乔宇,姚剑方法概括使用改进版的MSER(CE-MSERs,contrast-enhancement)提取候选字符区域: 使用新的CN…

论文阅读（Lukas Neuman——【ICDAR2015】Efficient Scene Text Localization and Recognition with Local Character Refinement）

Lukas Neuman--[ICDAR2015]Efficient Scene Text Localization and Recognition with Local Character Refinement 算法介绍 Fig. 2. Overview of the method. Initial text hypotheses efficiently generatedby a MSER detector are further refined using a local text mod…

论文阅读（Xiang Bai——【PAMI2017】An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition）

白翔的CRNN论文阅读 1. 论文题目 Xiang Bai--[PAMI2017]An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition 2. 论文思路和方法 1) 问题范围: 单词识别 2) CNN层:使用标准CNN提取图像特征,利用Map-to-Sequence表示成特征向量: 3) RNN层:使…

论文速读（Chuhui Xue——【arxiv2019】MSR_Multi-Scale Shape Regression for Scene Text Detection）

Chuhui Xue--[arxiv2019]MSR_Multi-Scale Shape Regression for Scene Text Detection 论文 Chuhui Xue--[arxiv2019]MSR_Multi-Scale Shape Regression for Scene Text Detection 作者 Chuhui Xue, Shijian Lu, Wei Zhang 亮点 multi-scale网络中利用FPN的up-sampling把多个不同scale得到的结…

论文速读（Yongchao Xu——【2018】TextField_Learning A Deep Direction Field for Irregular Scene Text）

Yongchao Xu--[2018]TextField_Learning A Deep Direction Field for Irregular Scene Text Detection 论文 Yongchao Xu--[2018]TextField_Learning A Deep Direction Field for Irregular Scene Text Detection 作者亮点提出的TextField方法非常新颖,用点到最近boundary点的向量来区分不同instance…