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FormulaNet: A Benchmark Dataset for Mathematical Formula Detection

https://doi.org/10.1109/access.2022.3202639
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-86337-1_52openalex-snapshot
ICDAR 2021 Competition on Mathematical Formula Detection
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-99978-4_2openalex-snapshot
Deep Learning in the Wild
inferredcites →https://doi.org/10.1007/s10032-011-0174-4openalex-snapshot
Recognition and retrieval of mathematical expressions
inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot
Mask R-CNN
inferredcites →https://doi.org/10.1109/iccv.2017.89openalex-snapshot
Deformable Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2019.00972openalex-snapshot
FCOS: Fully Convolutional One-Stage Object Detection
inferredcites →https://doi.org/10.1109/icdar.2017.229openalex-snapshot
ICDAR2017 Competition on Recognition of Documents with Complex Layouts - RDCL2017
inferredcites →https://doi.org/10.1109/icdar.2019.00166openalex-snapshot
PubLayNet: Largest Dataset Ever for Document Layout Analysis
inferredcites →https://doi.org/10.1109/icdar.2019.00245openalex-snapshot
ICDAR2019 Competition on Recognition of Documents with Complex Layouts - RDCL2019
inferredcites →https://doi.org/10.1109/icpr.2018.8545307openalex-snapshot
DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects
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/10.1145/2402536.2402585openalex-snapshot
Syntax-directed recognition of hand-printed two-dimensional mathematics
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.82openalex-snapshot
DocBank: A Benchmark Dataset for Document Layout Analysis
inferredcites →https://doi.org/10.20944/preprints202201.0090.v1openalex-snapshot
DeHyFoNet: Deformable Hybrid Network for Formula Detection in Scanned Document Images
inferredcites →https://doi.org/10.24251/hicss.2020.512openalex-snapshot
PDF Accessibility of Research Papers: What Tools are Needed for Assessment and Remediation?
inferredcites →https://doi.org/10.48550/arxiv.2107.05534openalex-snapshot
1st Place Solution for ICDAR 2021 Competition on Mathematical Formula Detection

What points at this work

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

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inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126508openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2024.3404834openalex-snapshot
MathNet: A Data-Centric Approach for Printed Mathematical Expression Recognition
inferred← citeshttps://doi.org/10.1109/access.2025.3638780openalex-snapshot
An Automated Academic Book Scanner With Deep Learning Powered Math Expression Detection and Recognition
inferred← citeshttps://doi.org/10.1109/icct67028.2025.11427468openalex-snapshot
Methods of Automated Analysis of Texts of Scientific Articles, Taking into Account Graphical Components: Formulas, Graphs, Images
inferred← citeshttps://doi.org/10.1145/3706598.3713084openalex-snapshot
Towards More Accessible Scientific PDFs for People with Visual Impairments: Step-by-Step PDF Remediation to Improve Tag Accuracy
inferred← citeshttps://doi.org/10.18653/v1/2023.wiesp-1.8openalex-snapshot
LaTeX Rainbow: Universal LaTeX to PDF Document Semantic & Layout Annotation Framework
inferred← citeshttps://doi.org/10.3390/rs16010158openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s24144525openalex-snapshot
Multi-Source Feature-Fusion Method for the Seismic Data of Cultural Relics Based on Deep Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2305.14041openalex-snapshot
The state of scientific PDF accessibility in repositories: A survey in Switzerland
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