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Text detection, Scene image, Multi-orientation, CNN
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edge detection, feature extraction,
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Scene text, Curved dataset, LSTM, CNN, Deep learning
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Scene text detection, Multi-oriented text, Curve text, Dense text
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Arbitrary-Shaped text detection, Graph convolutional network,
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IEEE DOI
2012
Proposals, Feature extraction, Image segmentation, Detectors, Shape,
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Natural scene text detection,
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2202
Feature extraction, Image segmentation, Shape, Proposals, Geometry,
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Scene text detection, Scene text recognition, Deep learning, Neural network
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Text recognition, Feature extraction, Real-time systems, Detectors,
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Using double attention for text tattoo localisation,
IET-Bio(11), No. 3, 2022, pp. 199-214.
DOI Link
2205
attention mechanism, forensics, tattoo localisation,
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Liu, Y.L.[Yu-Liang],
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2205
Scene text detection, Image segmentation, Arbitrary shape, Dynamic convolution
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2205
Active learning, Deep learning, Annotation,
Natural scene images, Text detection
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Boundary-Aware Arbitrary-Shaped Scene Text Detector With Learnable
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IEEE DOI
2206
Feature extraction, Task analysis, Proposals, Noise measurement,
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2207
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PAN++: Towards Efficient and Accurate End-to-End Spotting of
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2208
Kernel, Text recognition, Feature extraction, Head, Magnetic heads,
Detectors, End-to-end text spotting, text detection,
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IEEE DOI
2209
Text recognition, Feature extraction, Proposals, Image recognition,
Task analysis, Training, Shape, End-to-end scene text spotting,
attention model
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IP(31), 2022, pp. 6200-6212.
IEEE DOI
2210
Text recognition, Feature extraction, Shape, Detectors,
Task analysis, Image recognition, Semantics, Scene text spotting,
scene text recognition
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Shivakumara, P.[Palaiahnakote],
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A comprehensive scheme for tattoo text detection,
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2212
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Younes, G.[Georges],
Zelek, J.[John],
Arbitrary Shape Text Detection using Transformers,
ICPR22(3238-3245)
IEEE DOI
2212
Shape, Detectors, Benchmark testing,
Transformer cores, Transformers, Loss measurement
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Wang, F.F.[Fang-Fang],
Xu, X.G.[Xiao-Gang],
Chen, Y.F.[Yi-Feng],
Li, X.[Xi],
Fuzzy Semantics for Arbitrary-Shaped Scene Text Detection,
IP(32), 2023, pp. 1-12.
IEEE DOI
2301
Semantics, Reliability, Image segmentation, Feature extraction,
Shape, Redundancy, Iterative methods,
single-shot network
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Zhang, S.X.[Shi-Xue],
Zhu, X.B.[Xia-Bin],
Chen, L.[Lei],
Hou, J.B.[Jie-Bo],
Yin, X.C.[Xu-Cheng],
Arbitrary Shape Text Detection via Segmentation with Probability Maps,
PAMI(45), No. 3, March 2023, pp. 2736-2750.
IEEE DOI
2302
Annotations, Shape, Probability distribution,
Prediction algorithms, Feature extraction, Deep learning,
sigmoid alpha function
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Zhang, S.X.[Shi-Xue],
Yang, C.[Chun],
Zhu, X.B.[Xia-Bin],
Yin, X.C.[Xu-Cheng],
Arbitrary Shape Text Detection via Boundary Transformer,
MultMed(26), 2024, pp. 1747-1760.
IEEE DOI
2402
Transformers, Proposals, Shape, Feature extraction, Deformation,
Iterative methods, Energy loss, Arbitrary shape text detection,
boundary energy
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Zhang, S.X.[Shi-Xue],
Zhu, X.B.[Xia-Bin],
Yang, C.[Chun],
Wang, H.F.[Hong-Fa],
Yin, X.C.[Xu-Cheng],
Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection,
ICCV21(1285-1294)
IEEE DOI
2203
Deformable models, Convolutional codes, Adaptation models,
Adaptive systems, Recurrent neural networks, Shape,
grouping and shape
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Zhang, S.X.[Shi-Xue],
Zhu, X.B.[Xiao-Bin],
Hou, J.B.[Jie-Bo],
Liu, C.[Chang],
Yang, C.[Chun],
Wang, H.F.[Hong-Fa],
Yin, X.C.[Xu-Cheng],
Deep Relational Reasoning Graph Network for Arbitrary Shape Text
Detection,
CVPR20(9696-9705)
IEEE DOI
2008
Cognition, Shape, Couplings, Proposals, Geometry, Convolution, Task analysis
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Chen, H.H.[Hong-Hui],
Chen, P.P.[Ping-Ping],
Qiu, Y.H.[Yu-Hang],
Ling, N.[Nam],
FARNet: Fragmented affinity reasoning network of text instances for
arbitrary shape text detection,
IET-IPR(17), No. 6, 2023, pp. 1959-1977.
DOI Link
2305
arbitrary shape text detection, connected component (CC), deep learning
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Wu, L.T.[Lin-Tai],
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Chen, C.L.P.[C. L. Philip],
Liu, C.L.[Cheng-Lin],
A Two-Level Rectification Attention Network for Scene Text
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IEEE DOI
2306
Text recognition, Geometry, Image recognition,
Hidden Markov models, Character recognition, Training,
optical character recognition
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Bi, H.Y.[Heng-Yue],
Xu, C.H.[Can-Hui],
Shi, C.[Cao],
Liu, G.Z.[Guo-Zhu],
Zhang, H.H.[Hong-Hong],
Li, Y.T.[Yu-Teng],
Dong, J.Y.[Jun-Yu],
HGR-Net: Hierarchical Graph Reasoning Network for Arbitrary Shape
Scene Text Detection,
IP(32), 2023, pp. 4142-4155.
IEEE DOI
2307
Feature extraction, Text detection, Shape, Cognition, Couplings,
Proposals, Layout, Scene text detection, arbitrary shape text,
graph convolutional network
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Xu, C.P.[Cheng-Pei],
Jia, W.J.[Wen-Jing],
Cui, T.C.[Ting-Cheng],
Wang, R.M.[Ruo-Mei],
Zhang, Y.F.[Yuan-Fang],
He, X.J.[Xiang-Jian],
Arbitrary-Shape Scene Text Detection via Visual-Relational
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IEEE DOI
2310
BibRef
Xu, C.P.[Cheng-Pei],
Jia, W.J.[Wen-Jing],
Wang, R.M.[Ruo-Mei],
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He, X.J.[Xiang-Jian],
MorphText: Deep Morphology Regularized Accurate Arbitrary-Shape Scene
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MultMed(25), 2023, pp. 4199-4212.
IEEE DOI
2310
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Region-Aware Arbitrary-Shaped Text Detection With Progressive Fusion,
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2311
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TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine
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MultMed(25), 2023, pp. 5030-5042.
IEEE DOI
2311
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Shao, Z.W.[Zhi-Wen],
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Meng, F.R.[Fan-Rong],
Zhu, H.C.[Han-Cheng],
Liu, B.[Bing],
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CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer,
CirSysVideo(34), No. 3, March 2024, pp. 1815-1826.
IEEE DOI
2403
Text detection, Transformers, Training, Deformation, Proposals, Shape,
Layout, Scene text detection, contour transformer,
re-score mechanism
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Cheng, P.R.[Pei-Rui],
Zhao, Y.Z.[Yu-Zhong],
Wang, W.Q.[Wei-Qiang],
Detect Arbitrary-Shaped Text via Adaptive Thresholding and
Localization Quality Estimation,
CirSysVideo(33), No. 12, December 2023, pp. 7480-7490.
IEEE DOI
2312
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Yang, C.[Chuang],
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Yuan, Y.[Yuan],
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Text Growing on Leaf,
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IEEE DOI
2312
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Improving accuracy of arbitrary-shaped text detection using ResNet-152
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2409
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Han, X.[Xu],
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Focus Entirety and Perceive Environment for Arbitrary-Shaped Text
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2501
Feature extraction, Kernel, Finite element analysis, Noise,
Text detection, Head, Data mining, Predictive models, Ions,
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Jiang, X.Z.[Xin-Zhe],
Zhang, J.S.[Jian-Shu],
Du, J.[Jun],
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Wu, J.J.[Jia-Jia],
Scene Text Recognition with Self-supervised Contrastive Predictive
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ICPR22(1514-1521)
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2212
Training, Visualization, Correlation, Text recognition, Convolution,
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Zhou, S.G.[Shui-Geng],
Robustly Recognizing Irregular Scene Text by Rectifying Principle
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WACV22(1332-1339)
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2202
Text recognition, Economic indicators,
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Dai, P.W.[Peng-Wen],
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CVPR21(7389-7398)
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Location awareness, Art, Codes, Text recognition,
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TextOCR: Towards large-scale end-to-end reasoning for
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CVPR21(8798-8808)
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2111
Training, Image recognition, Text recognition,
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He, M.H.[Ming-Hang],
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Tang, J.[Jun],
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MOST: A Multi-Oriented Scene Text Detector with Localization
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Location awareness, Training, Geometry, Heuristic algorithms,
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An Accurate Threshold Insensitive Kernel Detector for Arbitrary
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ICPR21(3011-3018)
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Shape, Image edge detection, Detectors, Benchmark testing,
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fast speed
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Accurate Arbitrary-Shaped Scene Text Detection via Iterative Polynomial
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Qian, X.,
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MGPAN: Mask Guided Pixel Aggregation Network,
ICIP20(1981-1985)
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2011
Software, Indexes, Erbium, Economic indicators, Text Detection,
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Dasgupta, K.,
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Bhattacharya, U.,
Scale-Invariant Multi-Oriented Text Detection in Wild Scene Image,
ICIP20(2041-2045)
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Feature extraction, Computer architecture, Robustness,
Benchmark testing, Geometry, Training, Lighting,
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Fatimi, S.,
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Semantic Oriented Text Clustering Based on RDF,
ISCV20(1-8)
IEEE DOI
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data mining, feature extraction, inference mechanisms,
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Liu, Z.C.[Zi-Chuan],
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Towards Robust Curve Text Detection With Conditional Spatial Expansion,
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Zhang, C.Q.[Cheng-Quan],
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Huang, Z.[Zuming],
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Han, J.Y.[Jun-Yu],
Ding, E.[Errui],
Ding, X.H.[Xing-Hao],
Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes,
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IEEE DOI
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Liu, C.L.[Cheng-Lin],
Choi, H.[Hyunsoo],
Kim, S.J.[Sung-Jin],
Arbitrary Shape Scene Text Detection With Adaptive Text Region
Representation,
CVPR19(6442-6451).
IEEE DOI
2002
BibRef
Feng, W.,
He, W.,
Yin, F.,
Zhang, X.,
Liu, C.,
TextDragon: An End-to-End Framework for Arbitrary Shaped Text
Spotting,
ICCV19(9075-9084)
IEEE DOI
2004
feature extraction, text analysis, text detection,
arbitrary shapes, arbitrary text regions, Training
BibRef
Gao, Y.,
Huang, Z.,
Dai, Y.,
Chen, K.,
Guo, J.,
Qiu, W.,
Wacnet: Word Segmentation Guided Characters Aggregation Net for Scene
Text Spotting With Arbitrary Shapes,
ICIP19(3382-3386)
IEEE DOI
1910
scene text spotting, arbitrary shapes
BibRef
Long, S.B.[Shang-Bang],
Ruan, J.Q.[Jia-Qiang],
Zhang, W.J.[Wen-Jie],
He, X.[Xin],
Wu, W.H.[Wen-Hao],
Yao, C.[Cong],
TextSnake: A Flexible Representation for Detecting Text of Arbitrary
Shapes,
ECCV18(II: 19-35).
Springer DOI
1810
BibRef
Lyu, P.,
Yao, C.,
Wu, W.,
Yan, S.,
Bai, X.,
Multi-oriented Scene Text Detection via Corner Localization and
Region Segmentation,
CVPR18(7553-7563)
IEEE DOI
1812
Feature extraction, Image segmentation, Object detection,
Detectors, Semantics, Proposals, Deconvolution
BibRef
Dai, Y.,
Huang, Z.,
Gao, Y.,
Xu, Y.,
Chen, K.,
Guo, J.,
Qiu, W.,
Fused Text Segmentation Networks for Multi-oriented Scene Text
Detection,
ICPR18(3604-3609)
IEEE DOI
1812
Feature extraction, Benchmark testing, Semantics, Task analysis,
Object detection, Pipelines, Standards
BibRef
Jiang, Y.,
Zhu, X.,
Wang, X.,
Yang, S.,
Li, W.,
Wang, H.,
Fu, P.,
Luo, Z.,
R2CNN: Rotational Region CNN for Arbitrarily-Oriented Scene Text
Detection,
ICPR18(3610-3615)
IEEE DOI
1812
convolution, estimation theory, feature extraction,
feedforward neural nets, regression analysis, text analysis,
multitask learning
BibRef
Liao, M.,
Zhu, Z.,
Shi, B.,
Xia, G.,
Bai, X.,
Rotation-Sensitive Regression for Oriented Scene Text Detection,
CVPR18(5909-5918)
IEEE DOI
1812
Feature extraction, Detectors, Task analysis, Object detection,
Convolution, Pipelines, Cloning
BibRef
Lyu, P.Y.[Peng-Yuan],
Liao, M.H.[Ming-Hui],
Yao, C.[Cong],
Wu, W.H.[Wen-Hao],
Bai, X.[Xiang],
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting
Text with Arbitrary Shapes,
ECCV18(XIV: 71-88).
Springer DOI
1810
BibRef
Wiwatcharakoses, C.,
Hasegawa, O.,
Two-Pass Clustering Technique for Orientation-Invariant and
Language-Independent Text Localization,
DICTA17(1-8)
IEEE DOI
1804
feature extraction, graph theory, pattern clustering,
text detection, CCA, affinity metrics, candidate component, Windows
BibRef
Liu, Y.,
Jin, L.,
Deep Matching Prior Network:
Toward Tighter Multi-oriented Text Detection,
CVPR17(3454-3461)
IEEE DOI
1711
Distortion, Monte Carlo methods, Noise measurement, Protocols,
Robustness, Shape
BibRef
Shi, B.,
Bai, X.,
Belongie, S.,
Detecting Oriented Text in Natural Images by Linking Segments,
CVPR17(3482-3490)
IEEE DOI
1711
Feature extraction, Image segmentation, Indexes, Neural networks,
Object detection, Proposals, Robustness
BibRef
Pei, W.Y.,
Yang, C.[Chun],
Kau, L.J.[Lih-Jen],
Yin, X.C.,
Multi-orientation scene text detection with multi-information fusion,
ICPR16(657-662)
IEEE DOI
1705
Bayes methods, Convolution, Feature extraction,
Image color analysis, Neural networks, Robustness, Windows
BibRef
Zhang, Y.[Yong],
Lai, J.H.[Jian-Huang],
Arbitrarily oriented text detection using geodesic distances between
corners and skeletons,
ICPR12(1896-1899).
WWW Link.
1302
BibRef
Yao, C.[Cong],
Bai, X.[Xiang],
Liu, W.Y.[Wen-Yu],
Ma, Y.[Yi],
Tu, Z.W.[Zhuo-Wen],
Detecting texts of arbitrary orientations in natural images,
CVPR12(1083-1090).
IEEE DOI
1208
BibRef
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Scene Text, Assistance for Visually Imapired .