smilewsw/awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

awesome-deep-text-detection-recognition

A curated list of awesome deep learning based papers on text detection and recognition.

Text Detection

• Papers are sorted by published date.
• IC is shorts for ICDAR.
• Score is F1-score for localization task.
  • (L) stands for score in leader-board.
  • If the reported score in leader-board is somewhat different from the paper, (L) is provided.
• *CODE means official code and CODE(M) means that traiend model is provided.

Conf.	Date	Title	IC13	IC15	Resources
'14-ECCV	14/10/07	Robust Scene Text Detection with Convolution Neural Network Induced MSER Trees
15-CVPR	15/06/01	Symmetry-based text line detection in natural scenes	0.8043		PRJ CODE
'16-TIP	15/10/12	Text-Attentional Convolutional Neural Networks for Scene Text Detection	0.8165
'15-ICCV	15/12/13	Text Flow : A Unified Text Detection System in Natural Scene Images	0.8025
'16-arXiv	16/03/31	Accurate Text Localization in Natural Image with Cascaded Convolutional TextNetwork	0.86
'16-CVPR	16/04/14	Multi-Oriented Text Detection with Fully Convolutional Networks	0.83	0.54	*TORCH(M)
'16-CVPR	16/04/22	Synthetic Data for Text Localisation in Natural Images	0.847 (L)0.8359		CODE DB
'16-arXiv	16/06/29	Scene Text Detection Via Holistic, Multi-Channel Prediction	0.8433	0.6477
'16-ECCV	16/09/12	Detecting Text in Natural Image with Connectionist Text Proposal Network	0.8215	0.6085	*CAFFE(M) CAFFE TF(M) DEMO BLOG(CH)
'17-AAAI	16/11/21	TextBoxes: A fast text detector with a single deep neural network	0.85 (L)0.8767		*CAFFE(M) TF BLOG(KR)
'18-TM	17/03/03	Arbitrary-Oriented Scene Text Detection via Rotation Proposals	0.9125	0.8020	*CAFFE
'17-CVPR	17/03/04	Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection		0.7064
'17-CVPR	17/03/19	Detecting Oriented Text in Natural Images by Linking Segments	0.853	0.75 (L)0.7636	*TF(M) TF(M) SLIDE VIDEO
'17-arXiv	17/03/24	Deep Direct Regression for Multi-Oriented Scene Text Detection	0.86	0.81
'17-arXiv	17/04/03	Cascaded Segmentation-Detection Networks for Word-Level Text Spotting	0.86	0.71
'17-CVPR	17/04/11	EAST: An Efficient and Accurate Scene Text Detector		0.8072 (L)0.8038	TF(M) TF DEMO VIDEO
'17-ICIP	17/05/15	WordFence: Text Detection in Natural Images with Border Awareness	0.86
'17-arXiv	17/06/30	R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection	0.8773	0.8254	TF(M) CAFFE(M)
'17-CVPR	17/07/21	Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting In The Wild	0.85	0.63
'17-arXiv	17/08/17	Deep Scene Text Detection with Connected Component Proposals	0.919
'17-ICCV	17/08/22	WordSup: Exploiting Word Annotations for Character based Text Detection	0.9064	0.7816
'17-ICCV	17/09/01	Single Shot Text Detector with Regional Attention	0.8704	0.7691	*CAFFE(M) PYTORCH VIDEO
'17-arXiv	17/09/11	Fused Text Segmentation Networks for Multi-oriented Scene Text Detection		0.8414
'17-ICCV	17/10/13	WeText: Scene Text Detection under Weak Supervision	0.869 (L)0.8313
'17-ICCV	17/10/22	Self-organized Text Detection with Minimal Post-processing via Border Learning	0.84		*KERAS(M)
'17-ICDAR	17/11/11	Deep Residual Text Detection Network for Scene Text	0.9117 (L)0.8925
'18-AAAI	17/11/12	Feature Enhancement Network: A Refined Scene Text Detector	0.9161
'17-arXiv	17/11/30	ArbiText: Arbitrary-Oriented Text Detection in Unconstrained Scene		0.759
'18-AAAI	18/01/04	PixelLink: Detecting Scene Text via Instance Segmentation	0.881	0.8519	*TF(M) TF
'18-CVPR	18/01/05	FOTS: Fast Oriented Text Spotting with a Unified Network	0.925	0.8984	PYTORCH VIDEO
'18-TIP	18/01/09	TextBoxes++: A Single-Shot Oriented Scene Text Detector	0.88	0.829 (L)0.8475	*CAFFE(M)
'18-CVPR	18/03/09	An end-to-end TextSpotter with Explicit Alighment and Attention	0.9	0.87	*CAFFE(M)
'18-CVPR	18/03/14	Rotation-Sensitive Regression for Oriented Scene Text Detection	0.89	0.838	*CAFFE(M)
'18-arXiv	18/04/08	Detecting Multi-Oriented Text with Corner-based Region Proposals	0.876	0.845	*CAFFE(M)
'18-arXiv	18/04/24	An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches	0.92	0.86
'18-IJCAI	18/05/03	IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection		0.9047
'18-arXiv	18/06/07	Shape Robust Text Detection with Progressive Scale Expansion Network		0.8721	PRJ
'18-ECCV	18/07/04	TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes		0.826
'18-ECCV	18/07/06	Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes	0.917	0.86
'18-ECCV	18/07/10	Accurate Scene Text Detection through Border Semantics Awareness and Bootstrapping	0.892
'19-AAAI	18/11/21	Scene Text Detection with Supervised Pyramid Context Network	0.921	0.872

Text Recognition

• Papers are sorted by published date.
• IC is shorts for ICDAR.
• Score is word-accuracy for recognition task.
  • For results on IC03, IC13, and IC15 dataset, papers used different numbers of samples per paper,
    but we did not distinguish between them
• *CODE means official code and CODE(M) means that trained model is provided.

Conf.	Date	Title	SVT	IIIT5k	IC03	IC13	Resources
'15-ICLR	14/12/18	Deep structured output learning for unconstrained text recognition	0.717		0.896	0.818	TF SLIDE VIDEO
'16-IJCV	15/05/07	Reading text in the wild with convolutional neural networks	0.807		0.933	0.908	KERAS
'16-AAAI	15/06/14	Reading Scene Text in Deep Convolutional Sequences
'17-TPAMI	15/07/21	An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition	0.808	0.782	0.894	0.867	TORCH(M) TF TF TF PYTORCH BLOG(KR)
'16-CVPR	16/03/09	Recursive Recurrent Nets with Attention Modeling for OCR in the Wild	0.807	0.784	0.887	0.9
'16-CVPR	16/03/12	Robust scene text recognition with automatic rectification	0.819	0.819	0.901	0.886	PYTORCH PYTORCH
'16-CVPR	16/06/27	CNN-N-Gram for Handwriting Word Recognition	0.8362				VIDEO
'16-BMVC	16/09/19	STAR-Net: A SpaTial Attention Residue Network for Scene Text Recognition	0.836	0.833	0.899	0.891
'17-arXiv	17/07/27	STN-OCR: A single Neural Network for Text Detection and Text Recognition	0.798	0.86		0.903	*MXNET(M) PRJ BLOG
'17-IJCAI	17/08/19	Learning to Read Irregular Text with Attention Mechanisms
'17-arXiv	17/09/06	Scene Text Recognition with Sliding Convolutional Character Models	0.765	0.816	0.845	0.852
'17-ICCV	17/09/07	Focusing Attention: Towards Accurate Text Recognition in Natural Images	0.859	0.874	0.942	0.933
'18-CVPR	17/11/12	AON: Towards Arbitrarily-Oriented Text Recognition	0.828	0.87	0.915
'17-NIPS	17/12/04	Gated Recurrent Convolution Neural Network for OCR	0.815	0.808	0.978		*TORCH(M)
'18-AAAI	18/01/04	Char-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition	0.844	0.836	0.915	0.908
'18-AAAI	18/01/04	SqueezedText: A Real-time Scene Text Recognition by Binary Convolutional Encoder-decoder Network		0.87	0.931	0.929
'18-CVPR	18/05/09	Edit Probability for Scene Text Recognition	0.875	0.883	0.946	0.944
'18-TPAMI	18/06/25	ASTER: An Attentional Scene Text Recognizer with Flexible Rectification	0.936	0.934	0.945	0.918	*TF(M)
'18-ECCV	18/09/08	Synthetically Supervised Feature Learning for Scene Text Recognition	0.871	0.894	0.947	0.94
'19-AAAI	18/09/18	Scene Text Recognition from Two-Dimensional Perspective	0.821	0.92		0.914

End-to-End Text Recognition

• Papers are sorted by published date.
• IC is shorts for ICDAR.
• Score is F1-score for generic task.
  • (L) stands for score in leader-board.
• *CODE means official code and CODE(M) means that trained model is provided.

Conf.	Date	Title	IC03	IC13	IC15	Resources
'12-ICPR	12/11/11	End-to-end text recognition with convolutional neural networks	0.67			*CODE
'14-ECCV	14/09/06	Deep Features for Text Spotting	0.75			PRJ MATLAB
'15-IJCV	15/05/07	Reading Text in the Wild with Convolutional Neural Networks	0.70	0.77		KERAS
'15-TPAMI	15/10/30	Real-time Lexicon-free Scene Text Localization and Recognition		0.542	0.156
'16-arXiv	16/04/10	TextProposals: a Text-specific Selective Search Algorithm for Word Spotting in the Wild		0.6843	0.4718 (L)0.533	*CAFFE(M)
'17-AAAI	16/11/21	TextBoxes: A fast text detector with a single deep neural network		0.84		TF *CAFFE(M) BLOG_KR
'17-ICCV	17/07/13	Towards End-to-end Text Spotting with Convolution Recurrent Neural Network		0.8459		VIDEO
'17-ICCV	17/10/22	Deep TextSpotter An End-to-End Trainable Scene Text Localization and Recognition Framework		0.77	0.47	VIDEO *CAFFE(M)
'18-CVPR	18/01/05	FOTS: Fast Oriented Text Spotting with a Unified Network		0.8477	0.6533	VIDEO
'18-TIP	18/01/09	TextBoxes++: A Single-Shot Oriented Scene Text Detector		0.8465	0.519	*CAFFE(M)
'18-CVPR	18/03/09	An end-to-end TextSpotter with Explicit Alighment and Attention		0.86	0.63	*CAFFE(M)
'18-TPAMI	18/06/25	ASTER: An Attentional Scene Text Recognizer with Flexible Rectification			0.64	*TF(M)
'18-ECCV	18/07/06	Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes		0.865	0.624

Others

• Papers are sorted by published date.
• *CODE means official code and CODE(M) means that trained model is provided.

Conf.	Date	Title	Description	Resources
'14-NIPS	14/06/09	Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition	Dataset	PRJ
'17-ECCV	17/02/13	End-to-End Interpretation of the French Street Name Signs Dataset	Dataset (FSNS)	*TF(M)
'17-arXiv	17/04/11	Attention-based Extraction of Structured Information from Street View Imagery	FSNS	*TF(M) TF TF LUA BLOG_KR
'17-CVPR	17/07/21	Unambiguous Text Localization and Retrieval for Cluttered Scenes	Text Retrieval
'17-AAAI	17/10/22	Detection and Recognition of Text Embedded in Online Images via Neural Context Models	Dataset	PRJ
'18-CVPR	17/11/17	Separating Style and Content for Generalized Style Transfer	Font Style
'17-arXiv	17/12/06	Detecting Curve Text in the Wild New Dataset and New Solution	Dataset (CTW 1500)	PRJ
'18-AAAI	17/12/14	SEE: Towards Semi-Supervised End-to-End Scene Text Recognition	FSNS	PRJ *CHAINER(M)
'17-CVPR	18/06/07	Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks	Document Layout	PRJ
'18-CVPR	18/06/19	DocUNet: Document Image Unwarping via A Stacked U-Net	Document Dewarping	PRJ
'18-CVPR	18/06/19	Document Enhancement using Visibility Detection	Document Enhancement	PRJ
'18-IJCAI	18/06/22	Multi-Task Handwritten Document Layout Analysis	Document Layout
'18-ECCV	18/07/09	Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes	Dataset	PRJ
'19-AAAI	18/12/03	EnsNet: Ensconce Text in the Wild	Text Removal	DB

Other lists

• OCR Paper Curation
  • whitelok
  • tangzhenyu
  • wanghaisheng
  • ChanChiChoi
  • handong1587
  • hs105

Tutorial Materials

• Lecture slides
  • Deep Neural Networks for Scene Text Reading (IC17 Keynote)
  • Oriented Scene Text Detection Revisited (VALSE17 Invited Talk)
  • Scene Text Detection and Recognition (Joint course of Megvii Inc. & Peking Univ.)
  • Classic Text Detectors
• Survey Paper
  • Scene text detection and recognition: recent advances and future trends

Acknowledgment

• This work is done by OCR team in Clova AI powered by NAVER-LINE. NAVER-LINE is an Asian top internet company and develops Clova, a cloud-based AI-assistant platform.
• This repository is scheduled to be updated regularly in accordance with schedules of major AI conferences.