Fetching the paper…
Reading the bibliography…
Detecting incidental scene text is a challenging task because of multi-orientation, perspective distortion, and variation of text size, color and scale.
The point in polygon problem for arbitrary polygons
H. Kai and A. Agathos · 2001
Earlier work this paper cites.
Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm
K. I. Kim, K. Jung, and H. K. Jin · 2003
Earlier work this paper cites.
Detecting and reading text in natural scenes
X. Chen and A. L. Yuille · 2004
Earlier work this paper cites.
Robust wide-baseline stereo from maximally stable extremal regions
J. Matas, O. Chum, M. Urban, and T. Pajdla · 2004
Earlier work this paper cites.
Confidence-based active learning
M. Li and I. K. Sethi · 2006
Earlier work this paper cites.
Efficient non-maximum suppression
A. Neubeck and L. V. Gool · 2006
Earlier work this paper cites.
Linear time maximally stable extremal regions
D. Nistér and H. Stewénius · 2008
Earlier work this paper cites.
Text detection and localization in complex scene images using constrained adaboost algorithm
S. M. Hanif and L. Prevost · 2009
Earlier work this paper cites.
Scene text recognition using similarity and a lexicon with sparse belief propagation
J. J. Weinman, E. Learned-Miller, and A. R. Hanson · 2009
Earlier work this paper cites.
Detecting text in natural scenes with stroke width transform
B. Epshtein, E. Ofek, and Y. Wexler · 2010
Earlier work this paper cites.
Adaboost for text detection in natural scene
J.-J. Lee, P.-H. Lee, S.-W. Lee, A. L. Yuille, and C. Koch · 2011
Earlier work this paper cites.
Text string detection from natural scenes by structure-based partition and grouping
C. Yi and Y. Tian · 2011
Earlier work this paper cites.
A correct even-odd algorithm for the point-in-polygon (pip) problem for complex polygons
M. Galetzka and P. O. Glauner · 2012
Earlier work this paper cites.
Real-time scene text localization and recognition
L. Neumann and J. Matas · 2012
Earlier work this paper cites.
Detecting texts of arbitrary orientations in natural images
Z. Tu, Y. Ma, W. Liu, X. Bai, and C. Yao · 2012
Cited alongside, same era.
Photoocr: Reading text in uncontrolled conditions
A. Bissacco, M. Cummins, Y. Netzer, and H. Neven · 2013
Cited alongside, same era.
Text localization in natural images using stroke feature transform and text covariance descriptors
W. Huang, Z. Lin, J. Yang, and J. Wang · 2013
Cited alongside, same era.
Scene text detection via connected component clustering and nontext filtering
H. I. Koo and D. H. Kim · 2013
Cited alongside, same era.
Scene text localization and recognition with oriented stroke detection
L. Neumann and J. Matas · 2013
Cited alongside, same era.
Scene text recognition using part-based tree-structured character detection
C. Shi, C. Wang, B. Xiao, Y. Zhang, S. Gao, and Z. Zhang · 2013
Text localization based on fast feature pyramids and multi-resolution maximally stable extremal regions
A. Zamberletti, L. Noce, and I. Gallo · 2014
Later among the works it cites.
Fast r-cnn
R. Girshick · 2015
Later among the works it cites.
Icdar 2015 competition on robust reading
D. Karatzas, S. Lu, F. Shafait, S. Uchida, E. Valveny, L. Gomezbigorda, A. Nicolaou, S. Ghosh, A. Bagdanov, and M. Iwamura · 2015
Later among the works it cites.
Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, and S. Reed · 2015
Later among the works it cites.
You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Cited alongside, same era.
Robust scene text detection with convolution neural network induced mser trees
W. Huang, Y. Qiao, and X. Tang · 2014
Cited alongside, same era.
Deep features for text spotting
M. Jaderberg, A. Vedaldi, and A. Zisserman · 2014
Cited alongside, same era.
Orientation robust text line detection in natural images
L. Kang, Y. Li, and D. Doermann · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Toward integrated scene text reading
J. J. Weinman, Z. Butler, D. Knoll, and J. Feild · 2014
Cited alongside, same era.
Incidental scene text understanding: Recent progresses on icdar 2015 robust reading competition challenge 4
C. Yao, J. Wu, X. Zhou, C. Zhang, S. Zhou, Z. Cao, and Q. Yin · 2015
Later among the works it cites.
Text detection and recognition in imagery: A survey
Q. Ye and D. Doermann · 2015
Later among the works it cites.
Multi-orientation scene text detection with adaptive clustering
X. C. Yin, W. Y. Pei, J. Zhang, and H. W. Hao · 2015
Later among the works it cites.
Canny text detector: Fast and robust scene text localization algorithm
H. Cho, M. Sung, and B. Jun · 2016
Later among the works it cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2016
Later among the works it cites.
Detecting Text in Natural Image with Connectionist Text Proposal Network
Z. Tian, W. Huang, T. He, P. He, and Y. Qiao · 2016
Later among the works it cites.
Multi-oriented text detection with fully convolutional networks
Z. Zhang, C. Zhang, W. Shen, C. Yao, W. Liu, and X. Bai · 2016
Later among the works it cites.
Scene text detection and recognition: recent advances and future trends
Y. Zhu, C. Yao, and X. Bai · 2016
Later among the works it cites.