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Traditional text detection methods mostly focus on quadrangle text.
A. Graves, A.-r. Mohamed, and G. Hinton, “Speech recognition with deep recurrent neural networks,” in Acoustics, speech and signal processing (icassp), 2013 ieee international conference on . IEEE, 2013, pp. 6645–6649
2013
Earlier work this paper cites.
L. Kang, Y. Li, and D. Doermann, “Orientation robust text line detection in natural images,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2014, pp. 4034–4041
2014
Earlier work this paper cites.
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, “Caffe: Convolutional architecture for fast feature embedding,” in Proceedings of the 22nd ACM international conference on Multimedia . ACM, 2014, pp. 675–678
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
X.-C. Yin, W.-Y. Pei, J. Zhang, and H.-W. Hao, “Multi-orientation scene text detection with adaptive clustering,” IEEE transactions on pattern analysis and machine intelligence , vol. 37, no. 9, pp. 1930–1937, 2015
2015
Earlier work this paper cites.
J. Long, E. Shelhamer, and T. Darrell, “Fully convolutional networks for semantic segmentation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2015, pp. 3431–3440
2015
Earlier work this paper cites.
D. Karatzas, L. Gomez-Bigorda, A. Nicolaou, S. Ghosh, A. Bagdanov, M. Iwamura, J. Matas, L. Neumann, V. R. Chandrasekhar, S. Lu et al. , “Icdar 2015 competition on robust reading,” in Document Analysis and Recognition (ICDAR), 2015 13th International Conference on . IEEE, 2015, pp. 1156–1160
2015
Earlier work this paper cites.
2016
Earlier work this paper cites.
A. Gupta, A. Vedaldi, and A. Zisserman, “Synthetic data for text localisation in natural images,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 2315–2324
2016
Earlier work this paper cites.
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg, “Ssd: Single shot multibox detector,” in European conference on computer vision . Springer, 2016, pp. 21–37
2016
Earlier work this paper cites.
Z. Zhang, C. Zhang, W. Shen, C. Yao, W. Liu, and X. Bai, “Multi-oriented text detection with fully convolutional networks,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 4159–4167
2016
Earlier work this paper cites.
J. Dai, Y. Li, K. He, and J. Sun, “R-fcn: Object detection via region-based fully convolutional networks,” in Advances in neural information processing systems , 2016, pp. 379–387
2016
Cited alongside, same era.
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You only look once: Unified, real-time object detection,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 779–788
2016
Cited alongside, same era.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 770–778
2016
Cited alongside, same era.
M. Liao, B. Shi, X. Bai, X. Wang, and W. Liu, “Textboxes: A fast text detector with a single deep neural network.” in AAAI , 2017, pp. 4161–4167
2017
Cited alongside, same era.
2017
Later among the works it cites.
2017
Later among the works it cites.
2017
Later among the works it cites.
J. Zhang, J. Du, S. Zhang, D. Liu, Y. Hu, J. Hu, S. Wei, and L. Dai, “Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition,” Pattern Recognition , 2017
2017
Later among the works it cites.
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2017
Cited alongside, same era.
2017
Cited alongside, same era.
2017
Cited alongside, same era.
2017
Cited alongside, same era.
2017
Cited alongside, same era.
Z. He, Y. Zhou, Y. Wang, and Z. Tang, “Sren: Shape regression network for comic storyboard extraction.” in AAAI , 2017, pp. 4937–4938
2017
Cited alongside, same era.
2017
Cited alongside, same era.
Y. Wu and P. Natarajan, “Self-organized text detection with minimal post-processing via border learning,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2017, pp. 5000–5009
2017
Later among the works it cites.
S. Ren, K. He, R. Girshick, and J. Sun, “Faster r-cnn: Towards real-time object detection with region proposal networks,” IEEE transactions on pattern analysis and machine intelligence , vol. 39, no. 6, pp. 1137–1149, 2017
2017
Later among the works it cites.
2017
Later among the works it cites.
2017
Later among the works it cites.
2017
Later among the works it cites.
K. He, G. Gkioxari, P. Dollár, and R. Girshick, “Mask r-cnn,” arXiv preprint arXiv:1703.06870 , 2017
2017
Later among the works it cites.