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ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
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Pointly-Supervised Panoptic Segmentation
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You Can even Annotate Text with Voice: Transcription-only-Supervised Text Spotting
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Decoupling Recognition from Detection: Single Shot Self-Reliant Scene Text Spotter
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Boundary TextSpotter: Toward Arbitrary-Shaped Scene Text Spotting
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GLASS: Global to Local Attention for Scene-Text Spotting
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DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer
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Text Spotting Transformers
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SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition
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Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer
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DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
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SPTS: Single-Point Text Spotting
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Pix2seq: A Language Modeling Framework for Object Detection
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Conditional DETR for Fast Training Convergence
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ABCNet v2: Adaptive Bezier-Curve Network for Real-Time End-to-End Text Spotting
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PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text
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Fourier Contour Embedding for Arbitrary-Shaped Text Detection
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PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
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Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition
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MANGO: A Mask Attention Guided One-Stage Scene Text Spotter
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Deformable DETR: Deformable Transformers for End-to-End Object Detection
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TextRay: Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection
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Character Region Attention For Text Spotting
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Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
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Augment Your Batch: Improving Generalization Through Instance Repetition
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End-to-End Object Detection with Transformers
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ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network
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Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting
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On Layer Normalization in the Transformer Architecture
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All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting
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EfficientDet: Scalable and Efficient Object Detection
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TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting
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Convolutional Character Networks
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ASTER: An Attentional Scene Text Recognizer with Flexible Rectification
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ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text - RRC-ArT
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Towards Unconstrained End-to-End Text Spotting
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Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network
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ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition — RRC-MLT-2019
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Towards End-to-End Text Spotting in Natural Scenes
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Curved scene text detection via transverse and longitudinal sequence connection
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Character Region Awareness for Text Detection
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FCOS: Fully Convolutional One-Stage Object Detection
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TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network
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Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
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TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
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An End-to-End TextSpotter with Explicit Alignment and Attention
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TextBoxes++: A Single-Shot Oriented Scene Text Detector
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FOTS: Fast Oriented Text Spotting with a Unified Network
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SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
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Decoupled Weight Decay Regularization
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ICDAR2017 Robust Reading Challenge on Multi-Lingual Scene Text Detection and Script Identification - RRC-MLT
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Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition
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Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework
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WeText: Scene Text Detection under Weak Supervision
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WordSup: Exploiting Word Annotations for Character Based Text Detection
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Towards End-to-End Text Spotting with Convolutional Recurrent Neural Networks
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EAST: An Efficient and Accurate Scene Text Detector
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Detecting Oriented Text in Natural Images by Linking Segments
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Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection
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YOLO9000: Better, Faster, Stronger
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TextBoxes: A Fast Text Detector with a Single Deep Neural Network
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Detecting Text in Natural Image with Connectionist Text Proposal Network
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Synthetic Data for Text Localisation in Natural Images
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ICDAR 2015 competition on Robust Reading
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An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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Reading Text in the Wild with Convolutional Neural Networks
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Deep Features for Text Spotting
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PhotoOCR: Reading Text in Uncontrolled Conditions
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ICDAR 2013 Robust Reading Competition
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Detecting texts of arbitrary orientations in natural images
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ICDAR 2011 Robust Reading Competition - Challenge 1: Reading Text in Born-Digital Images (Web and Email)
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Word Spotting in the Wild
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Efficient Non-Maximum Suppression
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Histograms of oriented gradients for human detection
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The Hungarian method for the assignment problem
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Ieee Transactions on Pattern Analysis and Machine Intelligence 1 toward Integrated Scene Text Reading
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Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural Networks
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. VOL. II. NO. 6. JUNE 1989 567 Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
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PhD degree in information and communication engineering with the South China University of Technology
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are with the South China Uni-versityofTechnology,Guangzhou,Guangdong510006,China
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[ agreement with IEEE. Restrictions apply