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# System prepended metadata

title: 2021 CVPR OCR

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# 2021 CVPR OCR

### Scene Text Detection
- Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, Semantic-Aware Video Text Detection, CVPR 2021
- Yiqin Zhu, Jianyong Chen, Lingyu Liang, Zhanghui Kuang, Lianwen Jin, Wayne Zhang, Fourier Contour Embedding for Arbitrary-Shaped Text Detection, CVPR 2021
- Qi Wan, Haoqin Ji, and Linlin Shen, Self-Attention Based Text Knowledge Mining for Text Detection, CVPR 2021
- Pengwen Dai, Sanyi Zhang, Hua Zhang, Xiaochun Cao, Progressive Contour Regression for Arbitrary-Shape Scene Text Detection, CVPR 2021
- Minghang He, Minghui Liao, Zhibo Yang, et al., MOST: A Multi-Oriented Scene Text Detector With Localization Refinement, CVPR 2021

### Scene Text Recognition
- Ruijie Yan, Liangrui Peng, Shanyu Xiao, Gang Yao, Primitive Representation Learning for Scene Text Recognition, CVPR 2021
- Shancheng Fang, Hongtao Xie, Yuxin Wang, Zhendong Mao, Yongdong Zhang, Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition, CVPR 2021
- Aberdam, R Litman, et al., Sequence-to-Sequence Contrastive Learning for Text Recognition, CVPR 2021
- Nguyen Nguyen, Thu Nguyen, Vinh Tran, Minh-Triet Tran, et al., Dictionary-Guided Scene Text Recognition, CVPR 2021
- Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa, What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels, CVPR 2021

### End-to-end Text Recognition
- **Tianwei Wang, Yuanzhi Zhu, Lianwen Jin, et al., Implicit Feature Alignment: Learn To Convert Text Recognizer to Text Spotter, CVPR 2021 
- Jing Huang, Guan Pang, Rama Kovvuri, et al., A Multiplexed Network for End-to-End, Multilingual OCR, CVPR 2021

** means NO SCENE TEXT DEMO


### Classic Model
- Primitive Representation Learning for Scene Text Recognition
Ruijie Yan, Liangrui Peng, Shanyu Xiao, Gang Yao
- Real-time Scene Text Detection with Differentiable Binarization
Minghui Liao, Zhaoyi Wan, Cong Yao, Kai Chen, Xiang Bai
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan, Quoc V. Le

### Potential Paper
- TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text
Amanpreet Singh*, Guan Pang∗, Mandy Toh∗, Jing Huang, Wojciech Galuba, and Tal Hassner
