Deep Text Detection and Recognition

Source: https://github.com/hwalsuklee/awesome-deep-text-detection-recognition at 0958b3875043
License: Apache-2.0
Read the English original

This edition is an AI-assisted translation.

awesome-deep-text-detection-recognition

Eine kuratierte Auswahl von Forschungsarbeiten zur Deep-Learning-basierten Texterkennung und -detektion.

Textdetektion

• Die Arbeiten sind nach Veröffentlichungsdatum sortiert.
• IC ist die Abkürzung für ICDAR.
• Der Score ist der F1-Score für die Lokalisierungsaufgabe.
  • (L) bezeichnet den Score auf der Rangliste.
  • Weicht der auf der Rangliste angegebene Score leicht vom Wert in der Arbeit ab, wird (L) angegeben.
• *CODE kennzeichnet den offiziellen Code und CODE(M) ein bereitgestelltes trainiertes Modell.

Konferenz	Datum	Titel	IC13	IC15	Ressourcen
‘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) TF 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 PYTORCH(M) PYTORCH DEMO KERAS(M) 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 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	18/02/27	Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation	0.88	0.843	*PYTORCH(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	PYTORCH
‘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
‘19-TIP	18/12/04	TextField: Learning A Deep Direction Field for Irregular Scene Text Detection		0.824	*CAFFE(M)
‘19-CVPR	19/03/21	Towards Robust Curve Text Detection with Conditional Spatial Expansion
‘19-CVPR	19/03/28	Shape Robust Text Detection with Progressive Scale Expansion Network		0.857	TF(M)
‘19-CVPR	19/04/03	Character Region Awareness for Text Detection	0.952	0.869	*PYTORCH(M) VIDEO PYTORCH TF(M) KERAS BLOG_CH BLOG_KR BLOG_KR BLOG_KR
‘19-CVPR	19/04/13	Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes Screen reader support enabled		0.877
‘19-CVPR	19/06/16	Learning Shape-Aware Embedding for Scene Text Detection		0.877
‘19-CVPR	19/06/16	Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation	0.917	0.876
‘19-ICCV	19/08/16	Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network		0.829
‘19-ICCV	19/09/02	Geometry Normalization Networks for Accurate Scene Text Detection		0.8852
‘19-AAAI	19/11/20	Real-time Scene Text Detection with Differentiable Binarization		0.847

Texterkennung

• Die Arbeiten sind nach Veröffentlichungsdatum sortiert.
• IC ist die Abkürzung für ICDAR.
• Der Score ist die Wortgenauigkeit für die Erkennungsaufgabe.
  • Für Ergebnisse auf den Datensätzen IC03, IC13 und IC15 verwenden die Arbeiten unterschiedlich viele Stichproben,
    die wir jedoch nicht unterscheiden.
• *CODE kennzeichnet den offiziellen Code und CODE(M) ein bereitgestelltes trainiertes Modell.

Konferenz	Datum	Titel	SVT	IIIT5k	IC03	IC13	Ressourcen
‘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 TF PYTORCH PYTORCH(M) 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		TF
‘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) PYTORCH
‘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
‘19-AAAI	18/11/02	Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition	0.845	0.915		0.91	*TORCH(M)
‘19-CVPR	18/12/14	ESIR: End-to-end Scene Text Recognition via Iterative Image Rectification	0.902	0.933		0.913	PRJ
‘19-PR	19/01/10	MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition	0.883	0.912	0.950	0.924	*PYTORCH(M)
‘19-ICCV	19/04/03	What is wrong with scene text recognition model comparisons? dataset and model analysis	0.875		0.949	0.936	*PYTORCH(M) BLOG_KR
‘19-CVPR	19/04/18	Aggregation Cross-Entropy for Sequence Recognition	0.826	0.823	0.921	0.897	*PYTORCH
‘19-CVPR	19/06/16	Sequence-to-Sequence Domain Adaptation Network for Robust Text Image Recognition	0.845	0.838	0.921	0.918
‘19-ICCV	19/08/06	Symmetry-constrained Rectification Network for Scene Text Recognition	0.889	0.944	0.95	0.939
‘20-AAAI	19/12/28	TextScanner: Reading Characters in Order for Robust Scene Text Recognition	0.895	0.926		0.925
‘20-AAAI	19/12/21	Decoupled Attention Network for Text Recognition	0.892	0.943	0.95	0.939	*PYTORCH(M)
‘20-AAAI	20/02/04	GTC: Guided Training of CTC	0.929	0.955	0.952	0.943

Ende-zu-Ende-Texterkennung

• Die Arbeiten sind nach Veröffentlichungsdatum sortiert.
• IC ist die Abkürzung für ICDAR.
• Der Score ist der F1-Score für die allgemeine Aufgabe.
  • (L) bezeichnet den Score auf der Rangliste.
• *CODE kennzeichnet den offiziellen Code und CODE(M) ein bereitgestelltes trainiertes Modell.

Konferenz	Datum	Titel	IC03	IC13	IC15	Ressourcen
‘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 TF(M)
‘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 Alignment 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
‘19-ICCV	19/08/24	Towards Unconstrained End-to-End Text Spotting			0.6994	BLOG_KR
‘19-ICCV	19/10/17	Convolutional Character Networks			0.7108	*PYTORCH(M)
‘19-ICCV	19/10/27	TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting			0.6537
‘20-AAAI	19/11/21	All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting		0.841	0.641
‘20-AAAI	20/02/12	Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting		0.858	0.651

Weiteres

• Die Arbeiten sind nach Veröffentlichungsdatum sortiert.
• *CODE kennzeichnet den offiziellen Code und CODE(M) ein bereitgestelltes trainiertes Modell.

Konferenz	Datum	Titel	Beschreibung	Ressourcen
‘14-NIPS	14/06/09	Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition	Datensatz	PRJ
‘17-ECCV	17/02/13	End-to-End Interpretation of the French Street Name Signs Dataset	Datensatz (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	Textabruf
‘17-AAAI	17/10/22	Detection and Recognition of Text Embedded in Online Images via Neural Context Models	Datensatz	PRJ
‘18-CVPR	17/11/17	Separating Style and Content for Generalized Style Transfer	Schriftstil
‘17-arXiv	17/12/06	Detecting Curve Text in the Wild New Dataset and New Solution	Datensatz (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	Dokumentenlayout	PRJ
‘18-CVPR	18/06/19	DocUNet: Document Image Unwarping via A Stacked U-Net	Entzerrung von Dokumenten	PRJ
‘18-CVPR	18/06/19	Document Enhancement using Visibility Detection	Dokumentenverbesserung	PRJ
‘18-IJCAI	18/06/22	Multi-Task Handwritten Document Layout Analysis	Dokumentenlayout
‘18-ECCV	18/07/09	Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes	Datensatz	PRJ
‘19-AAAI	18/12/03	EnsNet: Ensconce Text in the Wild	Textentfernung	DB
‘19-CVPR	18/12/14	Spatial Fusion GAN for Image Synthesis	Datensatz	DB
‘19-AAAI	19/01/27	Hierarchical Encoder with Auxiliary Supervision for Table-to-text Generation: Learning Better Representation for Tables	Tabelle-zu-Text
‘19-AAAI	19/01/27	A Radical-aware Attention-based Model for Chinese Text Classification	Klassifikation chinesischer Zeichen
‘19-CVPR	19/02/25	Handwriting Recognition in Low-resource Scripts using Adversarial Learning	Handschrifterkennung	TF
‘19-CVPR	19/03/27	Tightness-aware Evaluation Protocol for Scene Text Detection	Evaluierung	CODE
‘19-ICCV	19/05/31	Scene Text Visual Question Answering	Datensatz	ICDAR_DB
‘19-CVPR	19/06/16	DynTypo: Example-based Dynamic Text Effects Transfer	Texteffekte	PRJ VIDEO
‘19-CVPR	19/06/16	Typography with Decor: Intelligent Text Style Transfer	Texteffekte	*PYTORCH(M)
‘19-CVPR	19/06/16	An Alternative Deep Feature Approach to Line Level Keyword Spotting	Schlüsselworterkennung
‘19-ICCV	19/07/23	GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition	Domänenanpassung
‘19-ICCV	19/09/17	Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning	Datensatz	ICDAR_DB
‘19-ICCV	19/10/02	Large-scale Tag-based Font Retrieval with Generative Feature Learning	Schriftartensuche
‘19-ICCV	19/10/27	TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts	Ortserkennung	DB
‘19-ICCV	19/10/27	DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks	Entzerrung von Dokumenten	*PYTORCH(M)

Weitere Listen

• OCR-Arbeitssammlung
  • HCIILAB-Detection
  • HCIILAB-Recognition
  • HCIILAB-End2End
  • whitelok
  • tangzhenyu
  • wanghaisheng
  • ChanChiChoi
  • handong1587
  • hs105

Lernmaterialien

• Vorlesungsfolien
  • Irregular Text Detection and Recognition (CBDAR2019 keynote)
  • 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
• Übersichtsarbeit
  • Scene text detection and recognition: recent advances and future trends

Danksagung

• Diese Arbeit entstand beim OCR-Team von Clova AI, unterstützt von NAVER-LINE. NAVER-LINE ist ein führendes asiatisches Internetunternehmen und entwickelt Clova, eine cloudbasierte KI-Assistentenplattform.
• Dieses Repository soll regelmäßig entsprechend den Terminen der wichtigsten KI-Konferenzen aktualisiert werden.