Historical Document Analysis 1
BoundaryNet: An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotation
Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents
Versailles-FP dataset: Wall Detection in Ancient Floor Plans
Graph Convolutional Neural Networks for Learning Attribute Representations for Word Spotting
Context Aware Generation of Cuneiform Signs
Adaptive Scaling for Archival Table Structure Recognition
Document Analysis Systems
LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment
VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations
Layout-Parser: A Unified Toolkit for Deep Learning Based Document Image Analysis
Understanding and Mitigating the Impact of Model Compression for Document Image Classification
Hierarchical and Multimodal Classification of Images from Soil Remediation Reports
Competition and Collaboration in Document Analysis and Recognition
Handwriting Recognition
2D Self-Attention Convolutional Recurrent Network for Offline Handwritten Text Recognition
Handwritten Text Recognition with Convolutional Prototype Network and Most Aligned Frame Based CTC Training
Online Spatio-Temporal 3D Convolutional Neural Network for Early Recognition of Handwritten Gestures
Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution
Radical Composition Network for Chinese Character Generation
SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators
Scene Text Detection and Recognition
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition
Text Detection by Jointly Learning Character and Word Regions
Vision Transformer for Fast and Efficient Scene Text Recognition
Look, Read and Ask: Learning to Ask Questions by Reading Text in Images
CATNet: Scene Text Recognition Guided by Concatenating Augmented Text Features
Explore Hierarchical Relations Reasoning and Global Information Aggregation
Historical Document Analysis 2
One-Model Ensemble-Learning for Text Recognition of Historical Printings
On the use of attention in deep learning based denoising method for ancient Cham inscription images
Visual FUDGE: Form Understanding via Dynamic Graph Editing
Annotation-Free Character Detection in Historical Vietnamese Stele Images
Document Image Processing
DocReader: Bounding-Box Free Training of a Document Information Extraction Model
Document Dewarping with Control Points
Unknown-box Approximation to Improve Optical Character Recognition Performance
Document Domain Randomization for Deep Learning Document Layout Extraction
NLP for Document Understanding
Distilling the Documents for Relation Extraction by Topic Segmentation
LAMBERT: Layout-Aware Language Modeling for Information Extraction
ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts
Graphics, Diagram, and Math Recognition
Towards an efficient framework for Data Extraction from Chart Images
Geometric Object 3D Reconstruction From Single Line Drawings Image Based on a Network for Classification and Sketch Extraction
DiagramNet: Hand-drawn Diagram Recognition using Visual Arrow-relation Detection
Formula Citation Graph Based Mathematical Information Retrieval.