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文本检测与识别方法(含end to end)

2019.05.16 16:44 1889浏览

2018 cvpr

An end-to-end TextSpotter with Explicit Alignment and Attention 

https://github.com/tonghe90/textspotter

Learning Markov Clustering Networks for Scene Text Detection

Rotation-sensitive Regression for Oriented Scene Text Detection

Edit Probability for Scene Text Recognition

Geometry-Aware Scene Text Detection with Instance Transformation Network

Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation


2019 cvpr

ESIR: End-to-end Scene Text Recognition via Iterative Image Rectification

Sequence-to-Sequence Domain Adaptation Network for Robust Text Image Recognition

Learning Shape-Aware Embedding for Scene Text Detection    

Towards Robust Curve Text Detection with Conditional Spatial Expansion

Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes 

Shape Robust Text Detection with Progressive Scale Expansion Network

Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation

Character Region Awareness for Text Detection

Tightness-aware Evaluation Protocol for Scene Text Detection    


2018 ECCV

Accurate Scene Text Detection through Border Semantics Awareness and Bootstrapping

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

License Plate Detection and Recognition in Unconstrained Scenarios


iccv 2017

Deep TextSpotter: An End-To-End Trainable Scene Text Localization and Recognition Framework

Single Shot Text Detector With Regional Attention

Towards End-To-End Text Spotting With Convolutional Recurrent Neural Networks

WeText: Scene Text Detection Under Weak Supervision

Self-Organized Text Detection With Minimal Post-Processing via Border Learning

Deep direct regression for multi-oriented scene text detection

cvpr2017

Unambiguous Text Localization and Retrieval for Cluttered Scenes

Detecting Oriented Text in Natural Images by Linking Segments


其他链接资源:

https://handong1587.github.io/deep_learning/2015/10/09/ocr.html#papers

 

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