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2017-2018论文更新

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标签:nat   jin   nta   ref   using   ati   fine   ima   cvpr   

2017-2018论文更新

识别

  1. XiangBai——【PAMI2018】ASTER_An Attentional Scene Text Recognizer with Flexible Rectification

  2. Zhanzhan Cheng——【CVPR2018】AON_Towards Arbitrarily-Oriented Text Recognition

  3. Zhanzhan Cheng——【CVPR2018】Edit Probability for Scene Text Recognition

  4. Christian Bartz——【AAAI2018】SEE_Towards Semi-Supervised End-to-End Scene Text Recognition

  5. Zhanzhan Cheng——【ICCV2017】Focusing Attention_Towards Accurate Text Recognition in Natural Images

检测

  1. Lianwen Jin——【2017】Detecting Curve Text in the Wild_New Dataset and New Solution

  2. Zichuan Liu——【CVPR2018】Learning Markov Clustering Networks for Scene Text Detection

  3. Tong He——【CVPR2018】Single Shot TextSpotter with Explicit Alignment and Attention

  4. XiangBai——【CVPR2018】Rotation-Sensitive Regression for Oriented Scene Text Detection

  5. Tong He——【ICCV2017】Single Shot Text Detector with Regional Attention

  6. Alibaba——【IJCAI2018】IncepText_A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection

  7. Lianwen Jin——【AAAI2018】Feature Enhancement Network_A Refined Scene Text Detector

  8. Andrei Polzounov——【ICIP2017】WordFence_Text Detection in Natural Images with Border Awareness

  9. Suman Ghosh——【ICDAR2017】R-PHOC_Segmentation-Free Word Spotting using CNN

  10. Xiangyu Zhu——【IAPR2018】Deep Residual Text Detection Network for Scene Text

  11. Daitao Xing——【2017】ArbiText_Arbitrary-Oriented Text Detection in Unconstrained Scene

  12. Xiaoyu Yu——【2018】Boosting up Scene Text Detectors with Guided CNN

  13. Li Xiang——【2018】Shape Robust Text Detection with Progressive Scale Expansion Network

端到端

  1. XiangBai——【CVPR2018】Mask TextSpotter_An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
  2. TongHe——【CVPR2018】An end-to-end TextSpotter with Explicit Alignment and Attention
  3. Xuebo Liu——【CVPR2108】FOTS_Fast Oriented Text Spotting with a Unified Network

2017-2018论文更新

标签:nat   jin   nta   ref   using   ati   fine   ima   cvpr   

原文地址:https://www.cnblogs.com/lillylin/p/9314957.html

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