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TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network [article]

Yipeng Sun, Chengquan Zhang, Zuming Huang, Jiaming Liu, Junyu Han, and Errui Ding
2018 arXiv   pre-print
To address this issue, we propose an end-to-end trainable network architecture, named TextNet, which is able to simultaneously localize and recognize irregular text from images.  ...  Experiments on standard benchmarks show that the proposed TextNet can achieve state-of-the-art performance, and outperform existing approaches on irregular datasets by a large margin.  ...  To our best knowledge, it is the first end-to-end trainable text reading network, which is able to handle oriented, perspective and curved text in a unified model.  ... 
arXiv:1812.09900v1 fatcat:5jfsjrd2mbet5khlu6s536jbfm

Page 15 of Electronic Publishing Vol. 3, Issue 3 [page]

1990 Electronic Publishing  
Weiser, ‘Textnet: a network-based approach to text handling’, ACM Transactions on Office Information Systems, 4 (1), 1-23 (1986). 25. J.  ...  Rada, ‘A graphical thesaurus-based information retrieval system’, International Journal of Man-Machine Studies, 31, 121-147 (1989). . J. E. Sammet and A.  ... 

Macro-Operations for Hypertext Construction [chapter]

Rainer Hammwöhner
1990 Designing Hypermedia for Learning  
In the first section of the paper a text linguistic approach to hypertext construction is introduced and related to the state of the art in information retrieval technology.  ...  The next section gives a notion of global structuring and the appropriate granularity of hypertexts based on text linguistic evidence.  ...  If the handling of hypertext nodes is emphasized, object oriented approaches to hypertext are preferred (eg. Christodoulakis et al. 86, Woelk et al. 86) .  ... 
doi:10.1007/978-3-642-75945-1_5 fatcat:yditvafnh5df3hyjqlexzqoy24

Deep multitask ensemble classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch [article]

Pablo Ferri, Carlos S&aacuteez, Antonio F&eacutelix-De Castro, Javier Juan-Albarrac&iacuten, Vicent Blanes-Selva, Purificaci&oacuten S&aacutenchez-Cuesta, Juan M Garc&iacutea-G&oacutemez
2020 medRxiv   pre-print
factors and free text dispatcher observations.  ...  Objective: To develop a predictive model to aid non-clinical dispatchers to classify emergency medical call incidents by their life-threatening level (yes/no), admissible response delay (undelayable, minutes  ...  are dispatched to handle the event [2] .  ... 
doi:10.1101/2020.06.26.20123216 fatcat:h5qqoycy5fdhhhlewcgpzfx3d4

Page 333 of Behavior Research Methods Vol. 21, Issue 2 [page]

1989 Behavior Research Methods  
H., a Weiser, M. (1986). TEXTNET: A network-based ap¬ proach to text handling. ACM Transactions on Office Information Sys¬ tems, 4, 1-23. Walker, D. E. (1981).  ...  In addition, the way the data are organized in a text database may need to be examined experimentally.  ... 

Towards End-to-End Text Spotting in Natural Scenes [article]

Peng Wang, Hui Li, Chunhua Shen
2021 arXiv   pre-print
In this work, we propose a unified network that simultaneously localizes and recognizes text with a single forward pass, avoiding intermediate processes such as image cropping and feature re-calculation  ...  The whole framework can be trained end-to-end and is able to handle text of arbitrary shapes. The convolutional features are calculated only once and shared by both detection and recognition modules.  ...  Text Recognition Network Text Recognition Network (TRN) aims to predict the text in the detected bounding boxes based on the extracted region features.  ... 
arXiv:1906.06013v6 fatcat:6yijskgdkjd2tposdbgw7xtfvq

Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting [article]

Liang Qiao, Sanli Tang, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu
2021 arXiv   pre-print
To handle this incompatibility problem, in this paper we propose an end-to-end trainable text spotting approach named Text Perceptron.  ...  Many approaches have recently been proposed to detect irregular scene text and achieved promising results.  ...  TPS) (Bookstein 1989) may be a feasible approach to rectify various-shaped text into regular form using a group of fiducial points.  ... 
arXiv:2002.06820v2 fatcat:qv77ioltuzbuvdemmny5d4ke5a

Attentional ShapeContextNet for Point Cloud Recognition

Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
The resulting model, called ShapeContextNet, consists of a hierarchy with modules not relying on a fixed grid while still enjoying properties similar to those in convolutional neural networks -being able  ...  Unlike previous approaches where a point cloud is either converted into a volume/image or represented independently in a permutation-invariant set, we develop a new representation by adopting the concept  ...  The authors would like to thank Justin Lazarow for insightful discussions, Hao Su and Charles R. Qi for helping with the MNIST experiment setup.  ... 
doi:10.1109/cvpr.2018.00484 dblp:conf/cvpr/XieLCT18 fatcat:gvuv4hsucjh4znjesafnkwj5gm

Character Region Attention For Text Spotting [article]

Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee, Daehyun Nam, Hwalsuk Lee
2020 arXiv   pre-print
A scene text spotter is composed of text detection and recognition modules. Many studies have been conducted to unify these modules into an end-to-end trainable model to achieve better performance.  ...  This is possible since the two modules share a common sub-task which is to find the location of the character regions. Based on the insight, we construct a tightly coupled single pipeline model.  ...  MaskTextSpotter [32] is a model that recognizes text using a segmentation approach.  ... 
arXiv:2007.09629v1 fatcat:csvhtbe64nedfkpg6fnmutbf2u

An end-to-end text spotter with text relation networks

Jianguo Jiang, Baole Wei, Min Yu, Gang Li, Boquan Li, Chao Liu, Min Li, Weiqing Huang
2021 Cybersecurity  
In this paper, we propose a novel graph-based method for intermediate semantic features enhancement, called Text Relation Networks.  ...  Then, a convolution operation is performed on the graph to aggregate semantic information and enhance the intermediate features corresponding to text instances.  ...  , we propose a graph-based semantic features enhancement method, called Text Relation Networks (TRN).  ... 
doi:10.1186/s42400-021-00073-x fatcat:b5qp5c5iynbufid625xt7cb7fe

Braille Recognition Using Deep Learning

Changjian Li, Weiqi Yan
2021 2021 4th International Conference on Control and Computer Vision  
We also implement a word-based braille detector using a novel solution called Adaptive Bezier-Curve Network (ABCNet), which is a Scene Text Recognition (STR) method for detecting word-based text in natural  ...  A comparison is present to evaluate the performance of ABCNet.  ...  In ABCNet, a novel solution was proffered to handle arbitrarily shapes and curved text by implementing Bezier curve adaption, adding alignment layer -BezierAlign into the network, which adds negligible  ... 
doi:10.1145/3484274.3484280 fatcat:i7eu6e57p5b2zl6p3lpkcretpy

Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes [article]

Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding
2019 arXiv   pre-print
To address these two problems, we present a novel text detector namely LOMO, which localizes the text progressively for multiple times (or in other word, LOok More than Once).  ...  Finally, a SEM is introduced to reconstruct more precise representation of irregular text by considering the geometry properties of text instance, including text region, text center line and border offsets  ...  Inspired by Mask R-CNN [5] , we propose a proposal-based shape expression module (SEM) to solve this problem. SEM is a fully convolutional network followed with a RoI transform layer.  ... 
arXiv:1904.06535v1 fatcat:rfhwzv3l3bbjlotuadbqk3vjja

MANGO: A Mask Attention Guided One-Stage Scene Text Spotter [article]

Liang Qiao, Ying Chen, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu
2021 arXiv   pre-print
Recently end-to-end scene text spotting has become a popular research topic due to its advantages of global optimization and high maintainability in real applications.  ...  Concretely, a position-aware mask attention module is developed to generate attention weights on each text instance and its characters.  ...  (Sun et al. 2018 ) adopted a perspective RoI transforming module to rectify perspective text, but this strategy still has difficulty in handling heavily curved text.  ... 
arXiv:2012.04350v2 fatcat:im4wyxklrrhvvavtasgvxoco74

Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting

Liang Qiao, Sanli Tang, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
To handle this incompatibility problem, in this paper we propose an end-to-end trainable text spotting approach named Text Perceptron.  ...  Many approaches have recently been proposed to detect irregular scene text and achieved promising results.  ...  TPS) (Bookstein 1989) may be a feasible approach to rectify various-shaped text into regular form using a group of fiducial points.  ... 
doi:10.1609/aaai.v34i07.6864 fatcat:4jqpb3xktrc4jfvesivjs4ruoy

Specification of Web-based Analytics Methods and Tools D3.1

Laia Albó, Miriam Calvera Isabal, Sven Manske, David Roldán Álvarez
2021 Zenodo  
In addition to the general rationale, this is illustrated by an example application of network analysis techniques to a Zooniverse case.  ...  For doing so, the consortium draws on experience with a variety of representations and processing techniques with emphasis on text mining and semantic modelling as well as (social) network analysis.  ...  Thus, such approaches convert a text to a network ("T2N") structure which externalizes a mental model of the text modelling semantic similarity or other semantic measures of the connected concepts.  ... 
doi:10.5281/zenodo.5653454 fatcat:hq6g3lzdlbdm7pj5cmrccnilfa
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