E-raamat: Document Analysis and Recognition - ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I

Historical Document Analysis 1.- BoundaryNet: An Attentive Deep Network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Historical Documents.- Versailles-FP dataset: Wall Detection in Ancient Floor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Reasoning and Global Information Aggregation.- Historical Document Analysis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.