25.2.2.3 Text Detection, Find Text in General Scenes, Scene Text

Chapter Contents (Back)
Scene Text. Text Detection. Extract text from images. More than just segmentation of documents, find the text strings.
See also CNN for Text Detection, Convolutional Neural Network.
See also Text Detection, Scene Text, Curved Text, Arbitrary Orientation. Recogniton focused:
See also Read Text from Signs in General Scenes.
See also Recognize Text, Read Text from Signs in General Scenes. More the traffic warning signs:
See also Road Signs, Traffic Signs. Stroke based:
See also Text in Scenes, Stroke Based, Contour Based. For more, expecially video and captions:
See also Video Analysis -- Captions, Text, Video Text.

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ICIP09(2021-2024).
IEEE DOI 0911
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Earlier:
Text detection from scene images using sparse representation,
ICPR08(1-5).
IEEE DOI 0812
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Text Segmentation from Complex Background Using Sparse Representations,
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Park, J.H.[Jong-Hyun], Park, S.[Soonyoung],
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Goto, H.[Hideaki],
Redefining the DCT-based feature for scene text detection: Analysis and comparison of spatial frequency-based features,
IJDAR(11), No. 1, October 2008, pp. xx-yy.
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Tanaka, M., Goto, H.,
Autonomous Text Capturing Robot Using Improved DCT Feature and Text Tracking,
ICDAR07(1178-1182).
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Shiratori, H.[Hiroki], Goto, H.[Hideaki], Kobayashi, H.[Hiroaki],
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ICPR06(II: 1050-1053).
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Saoi, T., Goto, H., Kobayashi, H.,
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ICDAR05(II: 690-694).
IEEE DOI 0508
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Baba, Y.[Yoichiro], Hirose, A.[Akira],
Spectral Fluctuation Method: A Texture-Based Method to Extract Text Regions in General Scene Images,
IEICE(E92-D), No. 9, September 2009, pp. 1702-1715.
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Earlier:
Proposal of the hybrid spectral gradient method to extract character-text regions from general scene images,
ICIP04(I: 211-214).
IEEE DOI 0505
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Zhang, Y.[Yi], Tan, K.K.[Kok Kiong],
Text extraction from images captured via mobile and digital devices,
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Nguyen, T.D., Park, J., Lee, G.,
Tensor Voting Based Text Localization in Natural Scene Images,
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IEEE DOI 1006
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Li, M.H.[Min-Hua], Bai, M.[Meng], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua],
Conditional random field for text segmentation from images with complex background,
PRL(31), No. 14, 15 October 2010, pp. 2295-2308.
Elsevier DOI 1003
Conditional random field (CRF); Text segmentation; Complex background; Local information; Contextual label information BibRef

Pan, Y.F.[Yi-Feng], Hou, X.W.[Xin-Wen], Liu, C.L.[Cheng-Lin],
A Hybrid Approach to Detect and Localize Texts in Natural Scene Images,
IP(20), No. 3, March 2011, pp. 800-813.
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Text Localization in Natural Scene Images Based on Conditional Random Field,
ICDAR09(6-10).
IEEE DOI 0907
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Gopalan, C.[Chitrakala], Manjula, D.,
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PR(46), No. 3, March 2013, pp. 1078-1090.
Elsevier DOI 1212
Text detection; Text classification; Histogram of oriented gradients for text; Text descriptor BibRef

Shi, C.Z.[Cun-Zhao], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Zhang, Y.[Yang], Gao, S.[Song],
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Yang, S.B.[Shiueng-Bien], Wu, C.F.[Chi-Feng],
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Koo, H.I.[Hyung Il], Kim, D.H.[Duck Hoon],
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Merino-Gracia, C.[Carlos], Mirmehdi, M.[Majid], Sigut, J.[José], González-Mora, J.L.[José L.],
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IVC(31), No. 10, 2013, pp. 714-724.
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Scene text extraction BibRef

Lee, S.[Seong_Hun], Kim, J.H.[Jin Hyung],
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IVC(31), No. 11, 2013, pp. 823-840.
Elsevier DOI 1311
Scene text extraction BibRef

Cho, M.S.[Min Su], Seok, J.H.[Jae-Hyun], Lee, S.H.[Seong-Hun], Kim, J.H.[Jin Hyung],
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ICDAR11(1034-1038).
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Zhou, G.[Gang], Liu, Y.H.[Yue-Hu], Xu, L.[Liang], Jia, Z.H.[Zhen-Hong],
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ICIP12(1001-1004).
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Ghanei, S.[Shaho], Faez, K.[Karim],
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Could scene context be beneficial for scene text detection?,
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Scene text detection BibRef

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Elsevier DOI 1809
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Scene text detection based on skeleton-cut detector,
ICIP17(3375-3379)
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Liao, M.H.[Ming-Hui], Zou, Z.S.[Zhi-Sheng], Wan, Z.Y.[Zhao-Yi], Yao, C.[Cong], Bai, X.[Xiang],
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Xu, Y., Wang, Y., Zhou, W., Wang, Y., Yang, Z., Bai, X.,
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Scene text detection, Deep learning, Quadrilateral regression BibRef

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Multi-modal information, Pre-trained model, Scene text recognition BibRef

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IEEE DOI 2110
Image segmentation, Task analysis, Training, Decoding, Feature extraction, Text recognition, mutually guided network BibRef

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Elsevier DOI 2110
Scene text recognition, Attention-gated recurrent unit, Attention mechanism, Connectionist temporal classification BibRef

Li, J.T.[Jiang-Tong], Liu, L.[Liu], Niu, L.[Li], Zhang, L.Q.[Li-Qing],
Memorize, Associate and Match: Embedding Enhancement via Fine-Grained Alignment for Image-Text Retrieval,
IP(30), 2021, pp. 9193-9207.
IEEE DOI 2112
Learning systems, Feature extraction, Visualization, Semantics, Correlation, Benchmark testing, Transformers, Image-text retrieval, transformer BibRef

Qi, Z.[Zhuo], Chen, W.Y.[Wen-Yi], Sun, X.F.[Xiao-Fei], Sun, W.Q.[Wang-Qian], Yang, H.[Hui],
KText: Arbitrary shape text detection using modified K-Means,
IET-CV(16), No. 1, 2022, pp. 38-49.
DOI Link 2202
BibRef

Dai, P.W.[Peng-Wen], Li, Y.[Yang], Zhang, H.[Hua], Li, J.Z.[Jing-Zhi], Cao, X.C.[Xiao-Chun],
Accurate Scene Text Detection Via Scale-Aware Data Augmentation and Shape Similarity Constraint,
MultMed(24), No. 2022, pp. 1883-1895.
IEEE DOI 2204
Training, Shape, Image segmentation, Agriculture, Proposals, Location awareness, Training data, Scene text detection, accurate localization BibRef

Zhou, Y.[Yu], Xie, H.T.[Hong-Tao], Fang, S.C.[Shan-Cheng], Zhang, Y.D.[Yong-Dong],
Semi-Supervised Text Detection With Accurate Pseudo-Labels,
SPLetters(29), 2022, pp. 1272-1276.
IEEE DOI 2206
Feature extraction, Data models, Training, Signal processing algorithms, Prediction algorithms, semi-supervised text detection BibRef

Wu, Y.[Yirui], Zhang, W.[Wen], Wan, S.H.[Shao-Hua],
CE-text: A context-Aware and embedded text detector in natural scene images,
PRL(159), 2022, pp. 77-83.
Elsevier DOI 2206
Context-aware and embedded text detector, Hierarchial attention scheme, Visual content analysis, Deep compression method BibRef

Zhao, M.B.[Meng-Biao], Feng, W.[Wei], Yin, F.[Fei], Zhang, X.Y.[Xu-Yao], Liu, C.L.[Cheng-Lin],
Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm,
IP(31), 2022, pp. 5513-5528.
IEEE DOI 2209
Costs, Annotations, Training, Labeling, Detectors, Data models, Benchmark testing, Mixed-supervised learning, expectation-maximization algorithm BibRef

Guan, T.[Tongkun], Gu, C.[Chaochen], Lu, C.S.[Chang-Sheng], Tu, J.Z.[Jing-Zheng], Feng, Q.[Qi], Wu, K.[Kaijie], Guan, X.P.[Xin-Ping],
Industrial Scene Text Detection With Refined Feature-Attentive Network,
CirSysVideo(32), No. 9, September 2022, pp. 6073-6085.
IEEE DOI 2209
Metals, Location awareness, Detectors, Proposals, Feature extraction, Visualization, Image segmentation, Text detection, text recognition BibRef

Blanco-Medina, P.[Pablo], Fidalgo, E.[Eduardo], Alegre, E.[Enrique], González-Castro, V.[Víctor],
A survey on methods, datasets and implementations for scene text spotting,
IET-IPR(16), No. 13, 2022, pp. 3426-3445.
DOI Link 2210
BibRef

Deng, J.H.[Jin-Hong], Luo, X.[Xiulian], Zheng, J.[Jiawen], Dang, W.L.[Wan-Li], Li, W.[Wen],
Text Enhancement Network for Cross-Domain Scene Text Detection,
SPLetters(29), 2022, pp. 2203-2207.
IEEE DOI 2212
Feature extraction, Training, Detectors, Geometry, Semantics, Convolution, Object detection, Scene text detection, Domain adaptation BibRef

Keserwani, P.[Prateek], Saini, R.[Rajkumar], Liwicki, M.[Marcus], Roy, P.P.[Partha Pratim],
Robust Scene Text Detection for Partially Annotated Training Data,
CirSysVideo(32), No. 12, December 2022, pp. 8635-8645.
IEEE DOI 2212
Annotations, Training data, Noise measurement, Deep learning, Object detection, Data models, Partial annotation, pseudo-labeling BibRef

Ma, J.Z.[Ji-Zhao], Jin, L.W.[Lian-Wen], Zhang, J.X.[Jia-Xin], Jiang, J.J.[Jia-Jia], Xue, Y.[Yang], He, M.[Mengchao],
TextSRNet: Scene Text Super-Resolution Based on Contour Prior and Atrous Convolution,
ICPR22(3252-3258)
IEEE DOI 2212
Image quality, Knowledge engineering, Image segmentation, Text recognition, Shape, Image edge detection, Superresolution BibRef

Zhai, Y.R.[Yan-Rui], Zhou, X.[Xiran], Li, H.H.[Hong-Hao],
Model and Data Integrated Transfer Learning for Unstructured Map Text Detection,
IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Lyu, G.T.[Guang-Tao], Liu, K.[Kun], Zhu, A.[Anna], Uchida, S.[Seiichi], Iwana, B.K.[Brian Kenji],
FETNet: Feature erasing and transferring network for scene text removal,
PR(140), 2023, pp. 109531.
Elsevier DOI 2305
BibRef
And: Corrigendum:
Elsevier DOI 2306
Scene text removal, Text segmentation, One-stage, Self-attention BibRef

Zhao, M.B.[Meng-Biao], Feng, W.[Wei], Yin, F.[Fei], Liu, C.L.[Cheng-Lin],
Texts as points: Scene text detection with point supervision,
PRL(170), 2023, pp. 1-8.
Elsevier DOI 2306
Scene text detection, Point supervision, Mixed-supervised learning BibRef

Du, X.C.[Xiang-Cheng], Zhou, Z.[Zhao], Zheng, Y.B.[Ying-Bin], Wu, X.J.[Xing-Jiao], Ma, T.L.[Tian-Long], Jin, C.[Cheng],
Progressive scene text erasing with self-supervision,
CVIU(233), 2023, pp. 103712.
Elsevier DOI 2307
Scene text erasing, Progressive strategy, Self-supervision BibRef

Uchigasaki, S.[Shohei], Miyazaki, T.[Tomo], Omachi, S.[Shinichiro],
Deep image compression using scene text quality assessment,
PR(142), 2023, pp. 109696.
Elsevier DOI 2307
Image compression, Scene text image, Text quality, Quality assessment, Regression model BibRef

Shi, Q.[Qin], Zhu, Y.[Yu], Fang, C.T.[Chuan-Tao], Yang, D.W.[Da-Wei],
TLWSR: Weakly supervised real-world scene text image super-resolution using text label,
IET-IPR(17), No. 9, 2023, pp. 2780-2790.
DOI Link 2307
image processing, image resolution, unsupervised learning BibRef

Wu, Y.[Yirui], Kong, Q.[Qiran], Yong, L.[Lai], Narducci, F.[Fabio], Wan, S.H.[Shao-Hua],
CDText: Scene text detector based on context-aware deformable transformer,
PRL(172), 2023, pp. 8-14.
Elsevier DOI 2309
Disentangled representation learning, Group-disentangled feature representation, Thoracic pathologic prediction BibRef

Wang, Y.X.[Yu-Xin], Xie, H.T.[Hong-Tao], Wang, Z.X.[Zi-Xiao], Qu, Y.D.[Ya-Dong], Zhang, Y.D.[Yong-Dong],
What is the Real Need for Scene Text Removal? Exploring the Background Integrity and Erasure Exhaustivity Properties,
IP(32), 2023, pp. 4567-4580.
IEEE DOI 2309
BibRef

Xue, C.[Chuhui], Huang, J.X.[Jia-Xing], Zhang, W.Q.[Wen-Qing], Lu, S.J.[Shi-Jian], Wang, C.H.[Chang-Hu], Bai, S.[Song],
Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition,
PAMI(45), No. 11, November 2023, pp. 12908-12921.
IEEE DOI 2310
BibRef
Earlier:
Contextual Text Block Detection Towards Scene Text Understanding,
ECCV22(XXVIII:374-391).
Springer DOI 2211
BibRef

Yang, C.[Chuang], Chen, M.[Mulin], Yuan, Y.[Yuan], Wang, Q.[Qi],
Reinforcement Shrink-Mask for Text Detection,
MultMed(25), 2023, pp. 6458-6470.
IEEE DOI 2311
BibRef

Bu, Y.Q.[Yu-Qi], Li, L.[Liuwu], Xie, J.Y.[Jia-Yuan], Liu, Q.[Qiong], Cai, Y.[Yi], Huang, Q.[Qingbao], Li, Q.[Qing],
Scene-Text Oriented Referring Expression Comprehension,
MultMed(25), 2023, pp. 7208-7221.
IEEE DOI 2311
BibRef

Qu, Y.D.[Ya-Dong], Xie, H.T.[Hong-Tao], Fang, S.C.[Shan-Cheng], Wang, Y.X.[Yu-Xin], Zhang, Y.D.[Yong-Dong],
ADNet: Rethinking the Shrunk Polygon-Based Approach in Scene Text Detection,
MultMed(25), 2023, pp. 6983-6996.
IEEE DOI 2311
BibRef

Liu, Y.L.[Yu-Liang], Zhang, J.X.[Jia-Xin], Peng, D.[Dezhi], Huang, M.X.[Ming-Xin], Wang, X.Y.[Xin-Yu], Tang, J.Q.[Jing-Qun], Huang, C.[Can], Lin, D.[Dahua], Shen, C.H.[Chun-Hua], Bai, X.[Xiang], Jin, L.W.[Lian-Wen],
SPTS v2: Single-Point Scene Text Spotting,
PAMI(45), No. 12, December 2023, pp. 15665-15679.
IEEE DOI 2311
BibRef

Li, L.[Lei], Fan, K.[Kai], Yuan, C.[Chun],
StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks,
MultMed(25), 2023, pp. 5614-5625.
IEEE DOI 2311
BibRef

Naosekpam, V.[Veronica], Islam, M.[Mushtaq], Chourasia, A.[Amul], Sahu, N.[Nilkanta],
Embil: An English-manipuri Bi-lingual Benchmark for Scene Text Detection and Language Identification,
CAIP23(I:65-75).
Springer DOI 2312
BibRef

Guo, J.[Jie], Wang, M.T.[Mei-Ting], Zhou, Y.[Yan], Song, B.[Bin], Chi, Y.H.[Yu-Hao], Fan, W.[Wei], Chang, J.L.[Jiang-Long],
HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval,
MultMed(25), 2023, pp. 9189-9202.
IEEE DOI 2312
BibRef

Rao, J.[Jun], Ding, L.[Liang], Qi, S.H.[Shu-Han], Fang, M.[Meng], Liu, Y.[Yang], Shen, L.[Li], Tao, D.C.[Da-Cheng],
Dynamic Contrastive Distillation for Image-Text Retrieval,
MultMed(25), 2023, pp. 8383-8395.
IEEE DOI 2312
BibRef

Xu, J.[Jiayu], Lin, A.[Ailiang], Li, J.X.[Jin-Xing], Lu, G.M.[Guang-Ming],
Text Position-Aware Pixel Aggregation Network With Adaptive Gaussian Threshold: Detecting Text in the Wild,
CirSysVideo(34), No. 1, January 2024, pp. 286-298.
IEEE DOI 2401
BibRef

Zhang, S.X.[Shi-Xue], Yang, C.[Chun], Zhu, X.B.[Xia-Bin], Zhou, H.Y.[Hong-Yang], Wang, H.F.[Hong-Fa], Yin, X.C.[Xu-Cheng],
Inverse-Like Antagonistic Scene Text Spotting via Reading-Order Estimation and Dynamic Sampling,
IP(33), 2024, pp. 825-839.
IEEE DOI 2402
Text recognition, Feature extraction, Estimation, Task analysis, Shape, Character recognition, Text detection, Scene text spotting, dynamic sampling BibRef

Yang, M.K.[Ming-Kun], Yang, B.[Biao], Liao, M.H.[Ming-Hui], Zhu, Y.Y.[Ying-Ying], Bai, X.[Xiang],
Class-Aware Mask-guided feature refinement for scene text recognition,
PR(149), 2024, pp. 110244.
Elsevier DOI Code:
WWW Link. 2403
Text recognition, Text segmentation, Multi-task learning, Feature fusion BibRef

Li, H.Y.[Hai-Yan], Hu, X.[Xingfei], Lu, H.T.[Hong-Tao],
T-Skeleton: Accurate scene text detection via instance-aware skeleton embedding,
IET-IPR(18), No. 6, 2024, pp. 1491-1503.
DOI Link 2405
object detection, pattern recognition BibRef

Zhou, Y.H.[Ying-Han], Wen, J.[Juan], Jia, J.H.[Jiang-Hao], Gao, L.T.[Li-Ting], Zhang, Z.W.[Zi-Wei],
C-Net: A Compression-Based Lightweight Network for Machine-Generated Text Detection,
SPLetters(31), 2024, pp. 1269-1273.
IEEE DOI 2405
Training, Text detection, Feature extraction, Closed box, Task analysis, Loss measurement, Feeds, Compression, text classification BibRef

Zhao, X.[Xi], Feng, W.[Wei], Zhang, Z.[Zheng], Lv, J.J.[Jing-Jing], Zhu, X.[Xin], Lin, Z.G.[Zhan-Gang], Hu, J.H.[Jing-He], Shao, J.P.[Jing-Ping],
CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection,
IJCV(132), No. 8, August 2024, pp. 3119-3138.
Springer DOI 2408
BibRef

Banerjee, A.[Ayan], Palaiahnakote, S.[Shivakumara], Pal, U.[Umapada], Antonacopoulos, A.[Apostolos], Lu, T.[Tong], Canet, J.L.[Josep Llados],
TTS: Hilbert Transform-Based Generative Adversarial Network for Tattoo and Scene Text Spotting,
MultMed(26), 2024, pp. 8226-8241.
IEEE DOI 2408
Generative adversarial networks, Text recognition, Text detection, Complexity theory, Transforms, text spotting BibRef

Verma, V.[Vinay], Sanny, D.[Dween], Singh, A.[Abhishek], Gupta, D.[Deepak],
CoD: Coherent Detection of Entities from Images with Multiple Modalities,
WACV24(8000-8009)
IEEE DOI 2404
Training, Adaptation models, Visualization, Annotations, Computational modeling, Soft sensors, Applications, Robotics BibRef

Kudale, D.[Dhruv], Kasuba, B.V.[Badri Vishal], Subramanian, V.[Venkatapathy], Chaudhuri, P.[Parag], Ramakrishnan, G.[Ganesh],
Textron: Weakly Supervised Multilingual Text Detection through Data Programming,
WACV24(2859-2868)
IEEE DOI Code:
WWW Link. 2404
Training, Computational modeling, Text detection, Training data, Manuals, Programming, Algorithms, Machine learning architectures BibRef

Long, S.B.[Shang-Bang], Qin, S.Y.[Si-Yang], Fujii, Y.[Yasuhisa], Bissacco, A.[Alessandro], Raptis, M.[Michalis],
Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis,
WACV24(892-902)
IEEE DOI 2404
High-temperature superconductors, Image recognition, Text recognition, Layout, Benchmark testing, Character recognition, Image recognition and understanding BibRef

Das, A.[Alloy], Biswas, S.[Sanket], Banerjee, A.[Ayan], Lladós, J.[Josep], Pal, U.[Umapada], Bhattacharya, S.[Saumik],
Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance,
WACV24(707-717)
IEEE DOI 2404
Evaluation, Scene Text. Training, Adaptation models, Text recognition, Text detection, Benchmark testing, Transformers, Algorithms, Vision + language and/or other modalities BibRef

Chen, C.[Chen], Zheng, F.[Fang], Zhang, S.H.[Shao-Hui], Wei, L.[Li],
A New Strategy for Reducing Errors in Scene Text Detection,
CVIDL23(453-457)
IEEE DOI 2403
Deep learning, Shape, Image edge detection, Text detection, Benchmark testing, Text Detection, Deep Learning BibRef

Dang, Q.V.[Quang-Vinh], Lee, G.S.[Guee-Sang],
Scene Text Segmentation by Paired Data Synthesis,
ICIP23(545-549)
IEEE DOI 2312
BibRef

Hao, X.X.[Xi-Xuan], Zhang, A.[Aozhong], Meng, X.[Xianze], Fu, B.[Bin],
Deformation Robust Text Spotting with Geometric Prior,
ICIP23(3573-3577)
IEEE DOI 2312
BibRef

Kil, T.[Taeho], Kim, S.[Seonghyeon], Seo, S.[Sukmin], Kim, Y.[Yoonsik], Kim, D.[Daehee],
Towards Unified Scene Text Spotting Based on Sequence Generation,
CVPR23(15223-15232)
IEEE DOI 2309
BibRef

Wang, Z.[Zheng], Gao, Z.W.[Zhen-Wei], Guo, K.[Kangshuai], Yang, Y.[Yang], Wang, X.M.[Xiao-Ming], Shen, H.T.[Heng Tao],
Multilateral Semantic Relations Modeling for Image Text Retrieval,
CVPR23(2830-2839)
IEEE DOI 2309
BibRef

Hou, Y.J.[Yu-Jie], Chen, J.[Jiwei], Wang, Z.F.[Zeng-Fu],
Multi-branch Network with Ensemble Learning for Text Removal in the Wild,
ACCV22(III:86-102).
Springer DOI 2307
BibRef

Cheng, J.T.[Jun-Tao], Xie, L.[Liangru], Du, C.[Cheng],
Bordernet: An Efficient Border-attention Text Detector,
ACCV22(VII:609-625).
Springer DOI 2307
BibRef

Ding, N.[Ning], Peng, L.R.[Liang-Rui], Liu, C.S.[Chang-Song], Zhang, Y.Q.[Yu-Qi], Zhang, R.X.[Rui-Xue], Li, J.[Jie],
Incorporating Self-attention Mechanism and Multi-task Learning into Scene Text Detection,
TextEvery22(314-328).
Springer DOI 2304
BibRef

Du, X.C.[Xiang-Cheng], Zhou, Z.[Zhao], Zheng, Y.B.[Ying-Bin], Ma, T.L.[Tian-Long], Wu, X.J.[Xing-Jiao], Jin, C.[Cheng],
Modeling Stroke Mask for End-to-End Text Erasing,
WACV23(6140-6148)
IEEE DOI 2302
Location awareness, Computational modeling, Detectors, Maintenance engineering, Decoding, Feeds, Low-level and physics-based vision BibRef

Raisi, Z.[Zobeir], Zelek, J.[John],
Occluded Text Detection and Recognition in the Wild,
CRV22(140-150)
IEEE DOI 2301
Image recognition, Text recognition, Target recognition, Transfer learning, Transformers, Feature extraction, Robustness, Occluded Character-level BibRef

Pan, R.[Runqiu], Li, Z.Z.[Ze-Zhou], Zhu, A.[Anna],
Find More Accurate Text Boundary for Scene Text Detection,
ICPR22(1421-1427)
IEEE DOI 2212
Training, Shape, Adhesives, Detectors, Proposals BibRef

Liu, C.[Chongyu], Jin, L.W.[Lian-Wen], Liu, Y.L.[Yu-Liang], Luo, C.[Canjie], Chen, B.[Bangdong], Guo, F.J.[Feng-Jun], Ding, K.[Kai],
Don't Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Context,
ECCV22(XXVIII:409-426).
Springer DOI 2211
BibRef

Ronen, R.[Roi], Tsiper, S.[Shahar], Anschel, O.[Oron], Lavi, I.[Inbal], Markovitz, A.[Amir], Manmatha, R.,
GLASS: Global to Local Attention for Scene-Text Spotting,
ECCV22(XXVIII:249-266).
Springer DOI 2211
BibRef

Wang, Y.X.[Yu-Xin], Xie, H.T.[Hong-Tao], Xing, M.T.[Meng-Ting], Wang, J.[Jing], Zhu, S.G.[Sheng-Gao], Zhang, Y.D.[Yong-Dong],
Detecting Tampered Scene Text in the Wild,
ECCV22(XXVIII:215-232).
Springer DOI 2211
BibRef

Chen, Y.[Ying], Qiao, L.[Liang], Cheng, Z.Z.[Zhan-Zhan], Pu, S.L.[Shi-Liang], Niu, Y.[Yi], Li, X.[Xi],
Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting,
ECCV22(XXVIII:356-373).
Springer DOI 2211
BibRef

Wu, W.J.[Wei-Jia], Xie, E.[Enze], Zhang, R.M.[Rui-Mao], Wang, W.H.[Wen-Hai], Luo, P.[Ping], Zhou, H.[Hong],
Polygon-Free: Unconstrained Scene Text Detection with Box Annotations,
ICIP22(1226-1230)
IEEE DOI 2211
Training, Knowledge engineering, Image segmentation, Costs, Annotations, Detectors, Skeleton, Text Detection, Weakly Supervision BibRef

Xu, X.X.[Xi-Xi], Qi, Z.A.[Zhong-Ang], Ma, J.Q.[Jian-Qi], Zhang, H.L.[Hong-Lun], Shan, Y.[Ying], Qie, X.H.[Xiao-Hu],
BTS: A Bi-lingual Benchmark for Text Segmentation in the Wild,
CVPR22(19130-19140)
IEEE DOI 2210
Training, Image segmentation, Protocols, Annotations, Benchmark testing, Character recognition, Computer vision theory BibRef

Kittenplon, Y.[Yair], Lavi, I.[Inbal], Fogel, S.[Sharon], Bar, Y.[Yarin], Manmatha, R., Perona, P.[Pietro],
Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer,
CVPR22(4594-4603)
IEEE DOI 2210
Training, Location awareness, Annotations, Text recognition, Benchmark testing, Transformers, Vision applications and systems BibRef

Zhang, X.[Xiang], Su, Y.[Yongwen], Tripathi, S.[Subarna], Tu, Z.W.[Zhuo-Wen],
Text Spotting Transformers,
CVPR22(9509-9518)
IEEE DOI 2210
Text recognition, Annotations, Computational modeling, Computer architecture, Predictive models, Transformers, retrieval BibRef

Luo, C.[Canjie], Jin, L.W.[Lian-Wen], Chen, J.D.[Jing-Dong],
SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization,
CVPR22(1029-1038)
IEEE DOI 2210
Representation learning, Interpolation, Text recognition, Image color analysis, Self-supervised learning, Task analysis, Document analysis and understanding BibRef

Tang, J.Q.[Jing-Qun], Zhang, W.Q.[Wen-Qing], Liu, H.Y.[Hong-Ye], Yang, M.K.[Ming-Kun], Jiang, B.[Bo], Hu, G.L.[Guang-Long], Bai, X.[Xiang],
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection,
CVPR22(4553-4562)
IEEE DOI 2210
Text analysis, Text recognition, Computational modeling, Computer architecture, Object detection, Transformers, retrieval BibRef

Song, S.[Sibo], Wan, J.Q.[Jian-Qiang], Yang, Z.B.[Zhi-Bo], Tang, J.[Jun], Cheng, W.Q.[Wen-Qing], Bai, X.[Xiang], Yao, C.[Cong],
Vision-Language Pre-Training for Boosting Scene Text Detectors,
CVPR22(15660-15670)
IEEE DOI 2210
Representation learning, Text recognition, Computational modeling, Semantics, Detectors, Representation learning BibRef

Huang, M.X.[Ming-Xin], Zhang, J.X.[Jia-Xin], Peng, D.[Dezhi], Lu, H.[Hao], Huang, C.[Can], Liu, Y.L.[Yu-Liang], Bai, X.[Xiang], Jin, L.W.[Lian-Wen],
ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer,
ICCV23(19438-19448)
IEEE DOI Code:
WWW Link. 2401
BibRef

Huang, M.X.[Ming-Xin], Liu, Y.L.[Yu-Liang], Peng, Z.H.[Zheng-Hao], Liu, C.Y.[Chong-Yu], Lin, D.[Dahua], Zhu, S.G.[Sheng-Gao], Yuan, N.[Nicholas], Ding, K.[Kai], Jin, L.W.[Lian-Wen],
SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition,
CVPR22(4583-4593)
IEEE DOI 2210
Location awareness, Text analysis, Text recognition, Annotations, Detectors, Transformer cores, Transformers, retrieval BibRef

Li, Y.[Yi], Wu, D.[Dehao], Zhu, Y.S.[Yue-Sheng],
A Multiple Positives Enhanced NCE Loss for Image-Text Retrieval,
MMMod22(I:431-442).
Springer DOI 2203
BibRef

Choo, S.[Sungkwon], Ha, S.J.[Seong Jong], Lee, J.S.[Joon-Soo],
Semantic-Preserving Metric Learning for Video-Text Retrieval,
ICIP21(2388-2392)
IEEE DOI 2201
Training, Visualization, Annotations, Image processing, Semantics, Extraterrestrial measurements, Video-text retrieval, semantic similarity BibRef

Anand, S.[Sukhad], Khan, Z.[Zoya],
W-A net: Leveraging Atrous and Deformable Convolutions for Efficient Text Detection,
DICTA20(1-8)
IEEE DOI 2201
Image segmentation, Shape, Digital images, Predictive models BibRef

Huang, Y.Z.[Yi-Zhang], Fang, K.[Kun], Huang, X.L.[Xiao-Lin], Yang, J.[Jie],
ADVMIX: Data Augmentation for Accurate Scene Text Spotting,
ICIP21(954-958)
IEEE DOI 2201
Training, Image recognition, Text recognition, Annotations, Feature extraction, Data models, Scene Text Spotting, Adversarial Attack BibRef

Zhao, Y.Z.[Yi-Zhan], Li, S.[Sumei], Li, Y.Y.[Yue-Yang],
Semantic-Compensated and Attention-Guided Network for Scene Text Detection,
ICIP21(939-943)
IEEE DOI 2201
Training, Deep learning, Image coding, Semantics, Detectors, Benchmark testing, Scene Text Detection, Deep Learning BibRef

Conrad, B.[Benjamin], Chen, P.I.[Pei-I],
Two-Stage Seamless Text Erasing on Real-World Scene Images,
ICIP21(1309-1313)
IEEE DOI 2201
Adaptation models, Image segmentation, Entertainment industry, Media, Reliability engineering, Generators, Text erasing, Inpainting, Text segmentation BibRef

Wang, T.W.[Tian-Wei], Zhu, Y.Z.[Yuan-Zhi], Jin, L.W.[Lian-Wen], Peng, D.[Dezhi], Li, Z.[Zhe], He, M.C.[Meng-Chao], Wang, Y.P.[Yong-Pan], Luo, C.J.[Can-Jie],
Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter,
CVPR21(5969-5978)
IEEE DOI 2111
Training, Text recognition, Inference mechanisms, Pipelines, Neural networks, Optical detectors, Optical imaging BibRef

Wan, Q.[Qi], Ji, H.Q.[Hao-Qin], Shen, L.L.[Lin-Lin],
Self-attention based Text Knowledge Mining for Text Detection,
CVPR21(5979-5988)
IEEE DOI 2111
Knowledge engineering, Deep learning, Semantics, Detectors, Feature extraction, Data models BibRef

Hu, Z.Y.[Zhen-Yu], Pi, P.C.[Peng-Cheng], Wu, Z.Y.[Zhen-Yu], Xue, Y.H.[Yun-He], Shen, J.[Jiayi], Tan, J.C.[Jian-Chao], Lian, X.R.[Xiang-Ru], Wang, Z.Y.[Zhang-Yang], Liu, J.[Ji],
E2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles,
UG21(905-913)
IEEE DOI 2109
Training, Quantization (signal), Heuristic algorithms, Image edge detection, Redundancy, Routing, Energy efficiency BibRef

Li, J.C.[Jia-Chen], Lin, Y.[Yuan], Liu, R.R.[Rong-Rong], Ho, C.M.[Chiu Man], Shi, H.[Humphrey],
RSCA: Real-time Segmentation-based Context-Aware Scene Text Detection,
MAI21(2349-2358)
IEEE DOI 2109
Analytical models, Shape, Computational modeling, Benchmark testing, Feature extraction, Real-time systems BibRef

Raisi, Z.[Zobeir], Naiel, M.A.[Mohamed A.], Younes, G.[Georges], Wardell, S.[Steven], Zelek, J.S.[John S.],
Transformer-based Text Detection in the Wild,
VOCVALC21(3156-3165)
IEEE DOI 2109
Location awareness, Visualization, Buildings, Computer architecture, Detectors BibRef

Gao, P.[Pan], Wan, Q.[Qi], Gao, R.[RenWu], Shen, L.[LinLin],
Feature Embedding Based Text Instance Grouping for Largely Spaced and Occluded Text Detection,
ICPR21(1709-1716)
IEEE DOI 2105
Shape, Detectors, Benchmark testing, Feature extraction BibRef

Nandanwar, L.[Lokesh], Shivakumara, P.[Palaiahnakote], Raghavendra, R.[Ramachandra], Lu, T.[Tong], Pal, U.[Umapada], Lopresti, D.[Daniel], Anuar, N.B.[Nor Badrul],
Local Gradient Difference Features for Classification of 2D-3D Natural Scene Text Images,
ICPR21(1112-1119)
IEEE DOI 2105
Image recognition, Graphical models, Text recognition, Artificial neural networks, Feature extraction, 2D-3D image classification BibRef

Peng, X.[Xuan], Huang, Z.[Zheng], Chen, K.[Kai], Guo, J.[Jie], Qiu, W.D.[Wei-Dong],
RLST: A Reinforcement Learning Approach to Scene Text Detection Refinement,
ICPR21(1521-1528)
IEEE DOI 2105
Training, Visualization, Pipelines, Reinforcement learning, Pattern recognition BibRef

Yang, M.K.[Ming-Kun], Zheng, H.[Haitian], Bai, X.[Xiang], Luo, J.B.[Jie-Bo],
Cost-Effective Adversarial Attacks against Scene Text Recognition,
ICPR21(2368-2374)
IEEE DOI 2105
Deep learning, Text recognition, Perturbation methods, Semantics, Training data, Benchmark testing, Linear programming BibRef

Dasgupta, K.[Kinjal], Das, S.[Sudip], Bhattacharya, U.[Ujjwal],
Stratified Multi-Task Learning for Robust Spotting of Scene Texts,
ICPR21(3130-3137)
IEEE DOI 2105
Training, Text recognition, Simulation, Deep architecture, Organizations, Cerebrum, Benchmark testing, Scene Text Spotting, Multi-task Learning BibRef

Qiao, Z.[Zhi], Qin, X.[Xugong], Zhou, Y.[Yu], Yang, F.[Fei], Wang, W.P.[Wei-Ping],
Gaussian Constrained Attention Network for Scene Text Recognition,
ICPR21(3328-3335)
IEEE DOI 2105
Text recognition, Computational modeling, Benchmark testing, Performance gain, Decoding, Faces BibRef

Zhou, J.W.[Jun-Wei], Gao, H.C.[Hong-Chao], Dai, J.[Jiao], Liu, D.Q.[Dong-Qin], Han, J.Z.[Ji-Zhong],
A Multi-head Self-relation Network for Scene Text Recognition,
ICPR21(3969-3976)
IEEE DOI 2105
Visualization, Image recognition, Correlation, Text recognition, Shape, Feature extraction, Data models BibRef

Yan, R.J.[Rui-Jie], Peng, L.R.[Liang-Rui], Xiao, S.[Shanyu], Yao, G.[Gang], Min, J.[Jaesik],
MEAN: Multi - Element Attention Network for Scene Text Recognition,
ICPR21(1-8)
IEEE DOI 2105
Image quality, Text recognition, Aggregates, Feature extraction, Encoding, Decoding BibRef

Zhao, M.[Mengbiao], Feng, W.[Wei], Yin, F.[Fei], Zhang, X.Y.[Xu-Yao], Liu, C.L.[Cheng-Lin],
Mutually Guided Dual-Task Network for Scene Text Detection,
ICPR21(6928-6934)
IEEE DOI 2105
Training, Filtering, Annotations, Training data, Detectors, Network architecture, Feature extraction, Scene text detection, mutual guidance BibRef

Wu, S.[Shudeng], Dai, T.[Tao], Meng, G.[Guanghao], Chen, B.[Bin], Lu, J.[Jian], Xia, S.T.[Shu-Tao],
Transferable Adversarial Attacks for Deep Scene Text Detection,
ICPR21(8945-8951)
IEEE DOI 2105
Image segmentation, Text recognition, Perturbation methods, Neural networks, Optical imaging, Robustness, Internet BibRef

Meng, G.H.[Guang-Hao], Dai, T.[Tao], Wu, S.D.[Shu-Deng], Chen, B.[Bin], Lu, J.[Jian], Jiang, Y.[Yong], Xia, S.T.[Shu-Tao],
Sample-aware Data Augmentor for Scene Text Recognition,
ICPR21(3978-3985)
IEEE DOI 2105
Training, Handwriting recognition, Text recognition, Shape, Pose estimation, Neural networks, Training data, affine transformation BibRef

Gu, C.Y.[Cheng-Yu], Wang, S.L.[Shi-Lin], Zhu, Y.W.[Yi-Wei], Huang, Z.[Zheng], Chen, K.[Kai],
Weakly Supervised Attention Rectification for Scene Text Recognition,
ICPR21(779-786)
IEEE DOI 2105
Text recognition, Annotations, Benchmark testing, Standards, scene text recognition, neural network, attention drift BibRef

Chen, Y.[Yudi], Wang, W.[Wei], Zhou, Y.[Yu], Yang, F.[Fei], Yang, D.[Dongbao], Wang, W.P.[Wei-Ping],
Self-Training for Domain Adaptive Scene Text Detection,
ICPR21(850-857)
IEEE DOI 2105
Text mining, Degradation, Deep learning, Detectors, Data collection, Benchmark testing, Pattern recognition BibRef

Wang, S., Wang, R., Yao, Z., Shan, S., Chen, X.,
Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval,
WACV20(1497-1506)
IEEE DOI 2006
Visualization, Feature extraction, Semantics, Task analysis, Image edge detection, Pediatrics, Generators BibRef

Wu, W.J.[Wei-Jia], Lu, N.[Ning], Xie, E.[Enze], Wang, Y.X.[Yu-Xing], Yu, W.W.[Wen-Wen], Yang, C.[Cheng], Zhou, H.[Hong],
Synthetic-to-real Unsupervised Domain Adaptation for Scene Text Detection in the Wild,
ACCV20(III:289-303).
Springer DOI 2103
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Zayene, O.[Oussama], Ingold, R.[Rolf], BenAmara, N.E.[Najoua Essoukri], Hennebert, J.[Jean],
ICPR2020 Competition on Text Detection and Recognition in Arabic News Video Frames,
Text20(343-356).
Springer DOI 2103
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Liao, M.H.[Ming-Hui], Pang, G.[Guan], Huang, J.[Jing], Hassner, T.[Tal], Bai, X.[Xiang],
Mask Textspotter v3: Segmentation Proposal Network for Robust Scene Text Spotting,
ECCV20(XI:706-722).
Springer DOI 2011
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Wang, W.H.[Wen-Hai], Liu, X.[Xuebo], Ji, X.Z.[Xiao-Zhong], Xie, E.[Enze], Liang, D.[Ding], Yang, Z.B.[Zhi-Bo], Lu, T.[Tong], Shen, C.H.[Chun-Hua], Luo, P.[Ping],
Ae Textspotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting,
ECCV20(XIV:457-473).
Springer DOI 2011
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Wang, W.J.[Wen-Jia], Xie, E.[Enze], Liu, X.[Xuebo], Wang, W.H.[Wen-Hai], Liang, D.[Ding], Shen, C.H.[Chun-Hua], Bai, X.[Xiang],
Scene Text Image Super-Resolution in the Wild,
ECCV20(X:650-666).
Springer DOI 2011
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Xiao, S.Y.[Shan-Yu], Peng, L.R.[Liang-Rui], Yan, R.[Ruijie], An, K.Y.[Ke-Yu], Yao, G.[Gang], Min, J.[Jaesik],
Sequential Deformation for Accurate Scene Text Detection,
ECCV20(XXIX: 108-124).
Springer DOI 2010
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Baek, Y.M.[Young-Min], Shin, S.[Seung], Baek, J.H.[Jeong-Hun], Park, S.[Sungrae], Lee, J.[Junyeop], Nam, D.[Daehyun], Lee, H.[Hwalsuk],
Character Region Attention for Text Spotting,
ECCV20(XXIX: 504-521).
Springer DOI 2010
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Chen, H., Ding, G., Liu, X., Lin, Z., Liu, J., Han, J.,
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval,
CVPR20(12652-12660)
IEEE DOI 2008
Semantics, Feature extraction, Benchmark testing, Bidirectional control, Iterative methods, Complexity theory, Business BibRef

Sabir, A., Moreno-Noguer, F., Padró, L.,
Textual Visual Semantic Dataset for Text Spotting,
WTDDL20(2306-2315)
IEEE DOI 2008
Visualization, Semantics, Text recognition, Task analysis, Data mining, Dictionaries, Feature extraction BibRef

Roy, P., Bhattacharya, S., Ghosh, S., Pal, U.,
STEFANN: Scene Text Editor Using Font Adaptive Neural Network,
CVPR20(13225-13234)
IEEE DOI 2008
Image color analysis, Convolution, Integrated circuits, Character recognition, Visualization, Text recognition, Distortion BibRef

Gao, D., Li, K., Wang, R., Shan, S., Chen, X.,
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text,
CVPR20(12743-12753)
IEEE DOI 2008
Visualization, Semantics, Task analysis, Numerical models, Neural networks, Cognition, Knowledge discovery BibRef

Liu, X., Zhou, G., Zhang, R., Wei, X.,
An Accurate Segmentation-Based Scene Text Detector with Context Attention and Repulsive Text Border,
WTDDL20(2344-2352)
IEEE DOI 2008
Convolution, Decoding, Feature extraction, Detectors, Benchmark testing, Object detection BibRef

Richardson, E., Azar, Y., Avioz, O., Geron, N., Ronen, T., Avraham, Z., Shapiro, S.,
It's All About The Scale: Efficient Text Detection Using Adaptive Scaling,
WACV20(1833-1842)
IEEE DOI 2006
Image segmentation, Semantics, Runtime, Benchmark testing, Pipelines, Kernel, Task analysis BibRef

Nguyen, D.T.N.,
State-of-the-Art in Action: Unconstrained Text Detection,
RLQ19(1104-1111)
IEEE DOI 2004
Code, Text Detection.
WWW Link. feature extraction, text detection, textual information detection, test data annotation, post processing BibRef

Baek, Y.[Youngmin], Lee, B.[Bado], Han, D.Y.[Dong-Yoon], Yun, S.[Sangdoo], Lee, H.[Hwalsuk],
Character Region Awareness for Text Detection,
CVPR19(9357-9366).
IEEE DOI 2002
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Tian, Z.T.[Zhuo-Tao], Shu, M.[Michelle], Lyu, P.Y.[Peng-Yuan], Li, R.[Ruiyu], Zhou, C.[Chao], Shen, X.Y.[Xiao-Yong], Jia, J.Y.[Jia-Ya],
Learning Shape-Aware Embedding for Scene Text Detection,
CVPR19(4229-4238).
IEEE DOI 2002
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Liu, Y.L.[Yu-Liang], Jin, L.W.[Lian-Wen], Xie, Z.C.[Ze-Cheng], Luo, C.J.[Can-Jie], Zhang, S.T.[Shuai-Tao], Xie, L.[Lele],
Tightness-Aware Evaluation Protocol for Scene Text Detection,
CVPR19(9604-9612).
IEEE DOI 2002
BibRef

Meng, L.[Lin], Lyu, B.[Bing], Zhang, Z.Y.[Zhi-Yu], Aravinda, C.V., Kamitoku, N.[Naoto], Yamazaki, K.[Katsuhiro],
Oracle Bone Inscription Detector Based on SSD,
NTIAP19(126-136).
Springer DOI 1909
BibRef

He, D.F.[Da-Fang], Li, Y.Q.[Ye-Qing], Gorban, A.[Alexander], Heath, D.[Derrall], Ibarz, J.[Julian], Yu, Q.[Qian], Kifer, D.[Daniel], Giles, C.L.[C. Lee],
Large Scale Scene Text Verification with Guided Attention,
ACCV18(V:260-275).
Springer DOI 1906
BibRef

Liu, C.[Chao], Zou, Y.X.[Yue-Xian], Yang, D.M.[Dong-Ming],
Enhancing Scene Text Detection via Fused Semantic Segmentation Network with Attention,
MMMod19(I:531-542).
Springer DOI 1901
BibRef

Song, Y.[Yu], Cui, Y.S.[Yuan-Shun], Han, H.[Hu], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Scene Text Detection via Deep Semantic Feature Fusion and Attention-based Refinement,
ICPR18(3747-3752)
IEEE DOI 1812
Feature extraction, Semantics, Text recognition, Proposals, Task analysis, Object detection BibRef

Cui, Y.S.[Yuan-Shun], Li, J.[Jie], Han, H.[Hu], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
TKDN: Scene Text Detection via Keypoints Detection,
ACCV18(V:231-246).
Springer DOI 1906
BibRef

Wang, H., Huang, S., Jin, L.,
Focus on Scene Text Using Deep Reinforcement Learning,
ICPR18(3759-3765)
IEEE DOI 1812
Feature extraction, Proposals, History, Task analysis, Visualization, Markov processes BibRef

Gómez, L.[Lluís], Mafla, A.[Andrés], Rusiñol, M.[Marçal], Karatzas, D.[Dimosthenis],
Single Shot Scene Text Retrieval,
ECCV18(XIV: 728-744).
Springer DOI 1810
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Peng, B.[Bo], Tan, W.[Wenming], Li, Z.Y.[Zhe-Yang], Xue, C.H.[Chu-Hui], Lu, S.J.[Shi-Jian], Zhan, F.N.[Fang-Neng],
Accurate Scene Text Detection Through Border Semantics Awareness and Bootstrapping,
ECCV18(XVI: 370-387).
Springer DOI 1810
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Prasad, S.[Shitala], Kong, A.W.K.[Adams Wai Kin],
Using Object Information for Spotting Text,
ECCV18(XVI: 559-576).
Springer DOI 1810
BibRef

Tian, X., Wu, D., Wang, R., Cao, X.,
Focal Text: an Accurate Text Detection with Focal Loss,
ICIP18(2984-2988)
IEEE DOI 1809
Training, Task analysis, Image segmentation, Feature extraction, Convolution, Standards, Neural networks, Text detection, FCN, Text Segmentation BibRef

Cai, C., Lv, P., Su, B.,
Feature Fusion Network for Scene Text Detection,
ICIP18(2755-2759)
IEEE DOI 1809
Feature extraction, Detectors, Training, Convolution, Lighting, Distortion, Benchmark testing, Scene Text Detection, Deep Learning BibRef

Diaz-Escobar, J.[Julia], Kober, V.[Vitaly],
Scene Text Segmentation Based on Local Image Phase Information and MSER Method,
MCPR18(211-220).
Springer DOI 1807
BibRef

Ran, L., Wang, W.,
Learning multi-view embedding in joint space for bidirectional image-text retrieval,
VCIP17(1-4)
IEEE DOI 1804
expectation-maximisation algorithm, image representation, image retrieval, learning (artificial intelligence), Two-branch neural network BibRef

Siegmund, D.[Dirk], Wainakh, A.[Aidmar], Ebert, T.[Tina], Braun, A.[Andreas], Kuijper, A.[Arjan],
Text Localization in Born-Digital Images of Advertisements,
CIARP17(627-634).
Springer DOI 1802
BibRef

Plummer, B.A.[Bryan A.], Mallya, A.[Arun], Cervantes, C.M.[Christopher M.], Hockenmaier, J.[Julia], Lazebnik, S.[Svetlana],
Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues,
ICCV17(1946-1955)
IEEE DOI 1802
inference mechanisms, learning (artificial intelligence), natural language processing, Flickr30k Entities dataset, Visualization BibRef

Tian, S., Lu, S., Li, C.,
WeText: Scene Text Detection under Weak Supervision,
ICCV17(1501-1509)
IEEE DOI 1802
regression analysis, text analysis, text detection, unsupervised learning, annotated training data, Training BibRef

Zhou, X., Yao, C., Wen, H., Wang, Y., Zhou, S., He, W., Liang, J.,
EAST: An Efficient and Accurate Scene Text Detector,
CVPR17(2642-2651)
IEEE DOI 1711
Feature extraction, Geometry, Merging, Neural networks, Pipelines, Proposals, Shape BibRef

Peuwnuan, K., Woraratpanya, K., Pasupa, K., Kuroki, Y.,
Local variance image-based for scene text binarization under illumination effects,
ICIVC17(798-802)
IEEE DOI 1708
Gray-scale, Ice, Image segmentation, Random access memory, Standards, adaptive thresholding, edge enhancement, illumination effect, image segmentation, local variance image, scene, text, binarization BibRef

Guan, L.B.[Lei-Bin], Chu, J.Z.[Ji-Zheng],
Natural scene text detection based on SWT, MSER and candidate classification,
ICIVC17(26-30)
IEEE DOI 1708
Computational efficiency, Feature extraction, Filtering theory, Image edge detection, Merging, Maximally Extremal Regions (MSER), Stroke Width Transform (SWT), candidate classification, connected component, text, detection BibRef

He, D.F.[Da-Fang], Yang, X.[Xiao], Huang, W.Y.[Wen-Yi], Zhou, Z.[Zihan], Kifer, D.[Daniel], Giles, C.L.[C. Lee],
Aggregating Local Context for Accurate Scene Text Detection,
ACCV16(V: 280-296).
Springer DOI 1704
BibRef