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In this paper, we develop a novel unified framework called DeepText for text region proposal generation and text detection in natural images via a fully convolutional neural network (CNN).
Efficient non-maximum suppression
A. Neubeck and L. Van Gool · 2006
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Object count/area graphs for the evaluation of object detection and segmentation algorithms
C. Wolf and J. Jolion · 2006
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Detecting text in natural scenes with stroke width transform
B. Epshtein, E. Ofek, and Y.Wexler · 2010
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A method for text localization and recognition in real-world images
L. Neumann and J. Matas · 2010
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K. E. Van de Sande, J. R. Uijlings, T. Gevers, and A. W. Smeulders · 2011
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Icdar 2011 robust reading competition
D. Karatzas, S. Robles Mestre, J. Mas, F. Nourbakhsh, and P. Pratim Roy · 2011
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Real-time scene text localization and recognition
L. Neumann and K. Matas · 2012
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End-to-end text recognition with convolutional neural networks
T. Wang, D. J. Wu, A. Coates, and A. Y. Ng · 2012
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Icdar 2013 robust reading competition
D. Karatzas, F. Shafait, S. Uchida, M. Iwamura, L. G. i Bigorda, S. R. Mestre, J. Mas, D. F. Mota, J. A. Almazan, , and L. P. de las Heras · 2013
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Multiscale combinatorial grouping
P. Arbelaez, J. Pont-Tuset, J. Barron, F. Marques, and J. Malik · 2014
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Fast feature pyramids for object detection
P. Dollár, R. Appel, S. Belongie, and P. Perona · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
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Robust scene text detection with convolutional neural networks induced mser trees
W. Huang, Y. Qiao, and X. Tang · 2014
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Deep features for text spotting
M. Jaderberg, A. Vedaldi, and A. Zisserman · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Robust text detection in natural scene images
Scene text extraction based on edges and support vector regression
S. Lu, T. Chen, S. Tian, J. Lim, and C. Tan · 2015
Later among the works it cites.
Efficient scene text localization and recognition with local character refinement
L. Neumann and J. Matas · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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A robust approach for text detection from natural scene images
L. Sun, Q. Huo, and W. jia · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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X. Yin, X. Yin, K. Huang, and H. Hao · 2014
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Text localization based on fast feature pyramids and multi-resolution maximally stable extremal regions
A. Zamberletti, L. Noce, and I. Gallo · 2014
Cited alongside, same era.
Edge boxes: Locating object proposals from edges
C. L. Zitnick and P. Dollár · 2014
Cited alongside, same era.
Fastext: Efficient unconstrained scene text detector
M. Busta, L. Neumann, and J. Matas · 2015
Cited alongside, same era.
Object detection via a multiregion & semantic segmentation-aware cnn model
S. Gidaris and N. Komodakis · 2015
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Fast r-cnn
R. Girshick · 2015
Cited alongside, same era.
Later among the works it cites.
Textflow: A unified text detection system in natural scene images
S. Tian, Y. Pan, C. Huang, S. Lu, K. Yu, , and C. L. Tan · 2015
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Symmetry-based text line detection in natural scenes
Z. Zhang, W. Shen, C. Yao, and X. Bai · 2015
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Reading text in the wild with convolutional neural networks
M. Jaderberg, K. Simonyan, A. Vedaldi, and A. Zisserman · 2016
Closest in time.
Coco-text: Dataset and benchmark for text detection and recognition in natural images
A. Veit, T. Matera, L. Neumann, J. Matas, and S. Belongie · 2016
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Character proposal network for robust text extraction
S. Zhang, M. Lin, T. Chen, L. Jin, and L. Lin · 2016
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