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

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This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.









The papers are organized into the following topical sections: document analysis for literature search, document summarization and translation, multimedia document analysis, mobile text recognition, document analysis for social good, indexing and retrieval of documents, physical and logical layout analysis, recognition of tables and formulas, and natural language processing (NLP) for document understanding.
Document Analysis for Literature Search.- Towards Document Panoptic
Segmentation with Pinpoint Accuracy: Method and Evaluation.- A Math Formula
Extraction and Evaluation Framework for PDF Documents.- Toward Automatic
Interpretation of 3D Plots.- Document Summarization and Translation.- Can
Text Summarization Enhance the Headline Stance Detection Task? Benefits and
Drawbacks.- The Biased Coin Flip Process for Nonparametric Topic
Modeling.-CoMSum and SIBERT: A Dataset and Neural Model for Query-Based
Multi-Document Summarization.- RTNet: An End-to-End Method for Handwritten
Text Image Translation.- NTable: A Dataset for Camera-based Table Detection.-
Multimedia document analysis.- Label Selection Algorithm Based on Boolean
Interpolative Decomposition with Sequential Backward Selection for
Multi-label Classification.- GSSF: A Generative Sequence Similarity Function
based on a Seq2Seq model for clustering online handwritten mathematical
answers.- C2VNet: A Deep Learning Framework Towards Comic Strip to
Audio-Visual Scene Synthesis.- LSTMVAEF: Vivid Layout via LSTM-based
Variational Autoencoder Framework.- Mobile Text Recognition.- HCRNN: A Novel
Architecture for Fast Online Handwritten Stroke Classification.- RFDoc:
memory efficient local descriptors for ID documents localization and
classification.- Dynamic Receptive Field Adaptation for Attention-Based Text
Recognition.- Context-Free TextSpotter for Real-Time and Mobile End-to-End
Text Detection and Recognition.- MIDV-LAIT: a challenging dataset for
recognition of IDs with Perso-Arabic, Thai, and Indian scripts,. Determining
optimal frame processing strategies for real-time document recognition
systems.- Document Analysis for Social Good.- Embedded Attributes for
Cuneiform Sign Spotting.- Date Estimation in the Wild of Scanned Historical
Photos: An Image Retrieval Approach.- Two-Step Fine-Tuned Convolutional
Neural Networks for Multi-Label Classification of Children's Drawings.-
DCINN: Deformable Convolution and Inception Based Neural Network for Tattoo
Text Detection through Skin Region.- Sparse Document Analysis using
Beta-Liouville Naive Bayes with Vocabulary Knowledge.- Automatic
Signature-based Writer Identification in Mixed-script Scenarios.- Indexing
and Retrieval of Documents.- Indexing and Retrieval of Documents.- Learning
to Rank Words: Optimizing Ranking Metrics for Word Spotting.- A-VLAD: An
End-to-End Attention-based Neural Network for Writer Identification in
Historical Documents.- Manga-MMTL: multimodal multitask transfer learning for
manga character analysis.- Probabilistic Indexing and Search for Hyphenated
Words.- Physical and Logical Layout Analysis.- SandSlide: Automatic Slideshow
Normalization.- Digital Editions as Distant Supervision for Layout Analysis
of Printed Books.- Palmira: A Deep Deformable Network for Instance
Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts.- Page
Layout Analysis System for Unconstrained Historic Documents.- Improved Graph
Methods for Table Layout Understanding.- Unsupervised learning of text line
segmentation by differentiating coarse patterns.- Recognition of Tables and
Formulas.- Rethinking Table Structure Recognition Using Sequence Labeling
Methods.- TabLeX: A Benchmark Dataset for Structure and Content Information
Extraction from Scientific Tables.- Handwritten Mathematical Expression
Recognition with Bidirectionally Trained Transformer.- TabAug: Data Driven
Augmentation for Enhanced Table Structure Recognition.- An Encoder-Decoder
Approach to Handwritten Mathematical Expression Recognition with Multi-Head
Attention and Stacked Decoder.- Global Context for improving recognition of
Online Handwritten Mathematical Expressions.- Image-based Relation
Classification Approach for Table Structure Recognition.- Image to LaTeX with
Graph Neural Network for Mathematical Formula Recognition.- NLP for Document
Understanding.- A Novel Method for AutomatedSuggestion of Similar Software
Incidents using 2-Stage Filtering: Findings on Primary Data.- Research on
pseudo-label technology for multi-label news classification.- Information
Extraction from Invoices.- Are You Really Complaining? A Multi-task Framework
for Complaint Identification, Emotion and Sentiment Classification.- Going
Full-TILT Boogie on Document Understanding with Text-Image-Layout
Transformer.- Data Centric Domain Adaptation for Historical Text with OCR
Errors.- Temporal Ordering of Events via Deep Neural Networks.- Document
Collection Visual Question Answering.- Dialogue Act Recognition using Visual
Information.- Are End-to-End Systems Really Necessary for NER on Handwritten
Document Images?.- Training Bi-Encoders for Word Sense Disambiguation.-
DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information
Extraction.- Consideration of the words neighborhood in GATs for information
extraction in semi-structured documents.