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A Convolutional Projection Based Approach for Dense Table Structure Recognition

https://doi.org/10.2139/ssrn.4625865
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58589-1_34openalex-extracted
Image-Based Table Recognition: Data, Model, and Evaluation
inferredcites →https://doi.org/10.1007/978-3-030-58604-1_5openalex-extracted
Table Structure Recognition Using Top-Down and Bottom-Up Cues
inferredcites →https://doi.org/10.1007/978-3-030-68790-8_50openalex-extracted
GFTE: Graph-Based Financial Table Extraction
inferredcites →https://doi.org/10.1007/s11042-021-11819-7openalex-extracted
Deep-learning and graph-based approach to table structure recognition
inferredcites →https://doi.org/10.1016/j.patcog.2022.108565openalex-extracted
Split, Embed and Merge: An accurate table structure recognizer
inferredcites →https://doi.org/10.1016/j.patcog.2022.109006openalex-extracted
Robust Table Detection and Structure Recognition from Heterogeneous Document Images
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00449openalex-extracted
Neural Collaborative Graph Machines for Table Structure Recognition
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00457openalex-extracted
TableFormer: Table Structure Understanding with Transformers
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00294openalex-extracted
CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
inferredcites →https://doi.org/10.1109/iccv48922.2021.00133openalex-extracted
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition
inferredcites →https://doi.org/10.1109/icdar.2017.192openalex-extracted
DeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images
inferredcites →https://doi.org/10.1109/icdar.2019.00027openalex-extracted
Deep Splitting and Merging for Table Structure Decomposition
inferredcites →https://doi.org/10.1109/icdar.2019.00029openalex-extracted
TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images
inferredcites →https://doi.org/10.1109/icdar.2019.00031openalex-extracted
Rethinking Table Recognition using Graph Neural Networks
inferredcites →https://doi.org/10.1109/icdar.2019.00226openalex-extracted
DeepTabStR: Deep Learning based Table Structure Recognition
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-extracted
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/wacv48630.2021.00074openalex-extracted
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context
inferredcites →https://doi.org/10.1145/3503161.3548038openalex-extracted
TSRFormer
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-extracted
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-extracted
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1506.01497openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1908.04729openalex-extracted
Complicated Table Structure Recognition
inferredcites →https://doi.org/10.48550/arxiv.2005.00589openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2010.04565openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2105.01848openalex-extracted
PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML
inferredcites →https://doi.org/10.48550/arxiv.2111.13359openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2208.04921openalex-extracted
TSRFormer: Table Structure Recognition with Transformers
inferredcites →https://doi.org/10.1007/978-3-030-58452-8_13openalex-snapshot
End-to-End Object Detection with Transformers
inferredcites →https://doi.org/10.1109/iccv48922.2021.00098openalex-snapshot
Parsing Table Structures in the Wild
inferredcites →https://doi.org/10.48550/arxiv.1406.6247openalex-snapshot
Recurrent Models of Visual Attention
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