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DeHyFoNet: Deformable Hybrid Network for Formula Detection in Scanned Document Images

https://doi.org/10.20944/preprints202201.0090.v1

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Optical Character Recognition and Parsing of Typeset Mathematics1

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International Journal on Document Analysis and Recognition (IJDAR)

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The T-Recs Table Recognition and Analysis System

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Recognition and retrieval of mathematical expressions

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Mathematical formula identification and performance evaluation in PDF documents

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Automatic extraction of printed mathematical formulas using fuzzy logic and propagation of context

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Design of a mathematical expression understanding system

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Advances in neural information processing systems 7

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The reduced Parzen classifier

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Detecting Mathematical Expressions in Scientific Document Images Using a U-Net Trained on a Diverse Dataset

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A Hybrid Method for Mathematical Expression Detection in Scientific Document Images

inferredcites →https://doi.org/10.1109/access.2021.3087865openalex-snapshot

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

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Feature Pyramid Networks for Object Detection

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Cascade R-CNN: Delving Into High Quality Object Detection

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Hybrid Task Cascade for Instance Segmentation

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Deformable ConvNets V2: More Deformable, Better Results

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Dataset, Ground-Truth and Performance Metrics for Table Detection Evaluation

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Deformable Convolutional Networks

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A hierarchical and recursive model of mathematical expressions for automatic reading of mathematical documents

inferredcites →https://doi.org/10.1109/icdar.2003.1227763openalex-snapshot

Automated segmentation of math-zones from document images

inferredcites →https://doi.org/10.1109/icdar.2003.1227834openalex-snapshot

Mathematical formulas extraction

inferredcites →https://doi.org/10.1109/icdar.2005.89openalex-snapshot

Distinguishing mathematics notation from English text using computational geometry

inferredcites →https://doi.org/10.1109/icdar.2007.4376991openalex-snapshot

An Overview of the Tesseract OCR Engine

inferredcites →https://doi.org/10.1109/icdar.2007.4377104openalex-snapshot

Physical Structure Segmentation with Projection Profile for Mathematic Formulae and Graphics in Academic Paper Images

inferredcites →https://doi.org/10.1109/icdar.2017.231openalex-snapshot

ICDAR2017 Competition on Page Object Detection

inferredcites →https://doi.org/10.1109/icdar.2017.46openalex-snapshot

CNN Based Page Object Detection in Document Images

inferredcites →https://doi.org/10.1109/icdar.2017.96openalex-snapshot

A Deep Learning-Based Formula Detection Method for PDF Documents

inferredcites →https://doi.org/10.1109/icdar43114.2017openalex-snapshot

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

inferredcites →https://doi.org/10.1109/icdarw.2019.40091openalex-snapshot

Feedback Learning: Automating the Process of Correcting and Completing the Extracted Information

inferredcites →https://doi.org/10.1109/icdarw48976.2019openalex-snapshot

2019 International Conference on Document Analysis and Recognition Workshops (ICDARW)

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Proceedings of 12th International Conference on Pattern Recognition

inferredcites →https://doi.org/10.1109/icpr.2000.902972openalex-snapshot

A syntactic approach for processing mathematical expressions in printed documents

inferredcites →https://doi.org/10.1109/icpr.2016.7900135openalex-snapshot

Context-aware mathematical expression recognition: An end-to-end framework and a benchmark

inferredcites →https://doi.org/10.1109/icpr.2018.8546073openalex-snapshot

Page Object Detection from PDF Document Images by Deep Structured Prediction and Supervised Clustering

inferredcites →https://doi.org/10.1109/icpr40739.2016openalex-snapshot

2016 23rd International Conference on Pattern Recognition (ICPR)

inferredcites →https://doi.org/10.1109/icpr48806.2021openalex-snapshot

2020 25th International Conference on Pattern Recognition (ICPR)

inferredcites →https://doi.org/10.1109/icpr48806.2021.9411922openalex-snapshot

CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images

inferredcites →https://doi.org/10.1109/kse50997.2020.9287693openalex-snapshot

A deep learning based system for mathematical expression detection and recognition in document images

inferredcites →https://doi.org/10.1109/kse53942.2021openalex-snapshot

2021 13th International Conference on Knowledge and Systems Engineering (KSE)

inferredcites →https://doi.org/10.1109/taai.2013.38openalex-snapshot

Mathematical Formula Detection in Heterogeneous Document Images

inferredcites →https://doi.org/10.1109/taai32765.2013openalex-snapshot

2013 Conference on Technologies and Applications of Artificial Intelligence

inferredcites →https://doi.org/10.1109/tpami.2004.1307293openalex-snapshot

IEEE Transactions on Pattern Analysis and Machine Intelligence

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1609/aaai.v34i07.6834openalex-snapshot

CBNet: A Novel Composite Backbone Network Architecture for Object Detection

inferredcites →https://doi.org/10.3390/app10186460openalex-snapshot

Fi-Fo Detector: Figure and Formula Detection Using Deformable Networks

inferredcites →https://doi.org/10.3390/app11125344openalex-snapshot

A Survey of Graphical Page Object Detection with Deep Neural Networks

inferredcites →https://doi.org/10.3390/app11167610openalex-snapshot

Cascade Network with Deformable Composite Backbone for Formula Detection in Scanned Document Images

inferredcites →https://doi.org/10.4230/oasics.ng-res.2024.2openalex-snapshot

A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1109/access.2022.3202639openalex-snapshot

FormulaNet: A Benchmark Dataset for Mathematical Formula Detection

inferred← citeshttps://doi.org/10.1145/3517428.3550407openalex-snapshot

Accessible PDFs: Applying Artificial Intelligence for Automated Remediation of STEM PDFs

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140573openalex-snapshot

Automatic Classification of Scanned Electronic University Documents using Deep Neural Networks with Conv2D Layers

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