Git Product home page Git Product logo

scene_text_paper_newest's Introduction

Scene_Text_Paper_Newest

It is a personal summary concerning newest scene text paper in 2019

KeyWords Plus:      CVPR2019      Curved Text      2019.5.1

1、Scene Text Detection

    1.Shape Robust Text Detection with Progressive Scale Expansion Network. Wang, W., Xie, E., Li, X., Hou, W., Lu, T., Yu, G., & Shao, S. (2019). CVPR.[ paper]    [note]    [blog]

    2.Curved scene text detection via transverse and longitudinal sequence connection. Liu, Y., Jin, L., Zhang, S., Luo, C., & Zhang, S. (2019). .Pattern Recognition, 90, 337–345..[ paper]    

    3.Character Region Awareness for Text Detection. Baek, Y., Lee, B., Han, D., Yun, S., & Lee, H. (2019). CVPR, 90, 337–345..[ paper]        [note]    [blog]

    4.Predictive Ensemble Learning with Application to Scene Text Detection. Chen, D., Zhang, X.-Y., Zhang. (2019)., 90, 337–345..[ paper]

    5.Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation Wang, X., Jiang, Y., Luo, Z., Liu, C.-L., Choi, H. (2019)., 90, 337–345..[ paper]

2、Scene Text Recognition

    1.FACLSTM: ConvLSTM with Focused Attention for Scene Text Recognition. Wang, Q., Jia, W., He, X., Lu, Y., Blumenstein, M., & Huang.[ paper]    

    **2.ESIR: End-to-end Scene Text Recognition via Iterative Image Rectification. Retrieved from ** Zhan, F., & Lu, S. (n.d.) (2019). CVPR.[ paper]    

    3.Aggregation Cross-Entropy for Sequence Recognition ** Xie, Z., Huang, Y., Zhu, Y., Jin, L., Liu, Y., & Xie(2019). CVPR**.[ paper]    

3、End to End

    1.FOTS: Fast Oriented Text Spotting with a Unified Network Liu, X., Liang, D., Yan, S., Chen, D., Qiao, Y., & Yan, J. (n.d.) (2018). CVPR.[ paper]    

    2.An end-to-end TextSpotter with Explicit Alignment and Attention He, T., Tian, Z., Huang, W., Shen, C., Qiao, Y., & Sun (2018). CVPR.[ paper]    

    3. SEE: Towards Semi-Supervised End-to-End Scene Text Recognition, Bartz, C., Yang, H., & Meinel, C (2018).AAAI.[ paper]        [code]

    4. E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text, Bušta, M., Patel, Y., & Matas, J. (n.d.)(2018).CVPR.[ paper]        [code]

4、Object Detection

    1. Objects as Points Zhou, X., Wang, D., & Krähenbühl, P. (2019). . CVPR**(2019).CVPR**.[ paper]        [[code](https://github. com/xingyizhou/CenterNet)]

    2. NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. ** Ghiasi, G., Lin, T.-Y., Pang, R(2019).CVPR**.[ paper]        [[code](https://github. com/xingyizhou/CenterNet)]

5、Others

    1.Tightness-aware Evaluation Protocol for Scene Text Detection. Liu, Y., Jin, L., Xie, Z., Luo, C., Zhang, S., & Xie, L. (2019). CVPR.[ paper]    [note]    [blog]

    2.Attention Is All You Need. aswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez.[ paper]    

5、Conclusion

Contact

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.