Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images
暂无分享,去创建一个
[1] D. S. Roy,et al. Robust Detection of Tables in Documents Using Scores from Table Cell Cores , 2022, SN Computer Science.
[2] Nguyen D. Vo,et al. Page Object Detection with YOLOF , 2021, 2021 8th NAFOSTED Conference on Information and Computer Science (NICS).
[3] Didier Stricker,et al. CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous Convolution , 2021, J. Imaging.
[4] Didier Stricker,et al. HybridTabNet: Towards Better Table Detection in Scanned Document Images , 2021, Applied Sciences.
[5] Zhenrong Zhang,et al. Split, embed and merge: An accurate table structure recognizer , 2021, Pattern Recognit..
[6] Haibin Ling,et al. CBNet: A Composite Backbone Network Architecture for Object Detection , 2021, IEEE Transactions on Image Processing.
[7] Didier Stricker,et al. Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks , 2021, IEEE Access.
[8] Didier Stricker,et al. A Survey of Graphical Page Object Detection with Deep Neural Networks , 2021, Applied Sciences.
[9] Yi Jiang,et al. Sparse R-CNN: End-to-End Object Detection with Learnable Proposals , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] C. V. Jawahar,et al. Table Structure Recognition using Top-Down and Bottom-Up Cues , 2020, ECCV.
[11] C. V. Jawahar,et al. CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images , 2020, 2020 25th International Conference on Pattern Recognition (ICPR).
[12] C. V. Jawahar,et al. IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents , 2020, DAS.
[13] Furu Wei,et al. DocBank: A Benchmark Dataset for Document Layout Analysis , 2020, COLING.
[14] D. Prasad,et al. CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[15] Zhi Tang,et al. CBNet: A Novel Composite Backbone Network Architecture for Object Detection , 2019, AAAI.
[16] C. V. Jawahar,et al. Graphical Object Detection in Document Images , 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).
[17] Yu Fang,et al. ICDAR 2019 Competition on Table Detection and Recognition (cTDaR) , 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).
[18] Xiaoming Hu,et al. Faster R-CNN Based Table Detection Combining Corner Locating , 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).
[19] Antonio Jimeno-Yepes,et al. PubLayNet: Largest Dataset Ever for Document Layout Analysis , 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).
[20] Heyan Huang,et al. Complicated Table Structure Recognition , 2019, ArXiv.
[21] Kai Chen,et al. MMDetection: Open MMLab Detection Toolbox and Benchmark , 2019, ArXiv.
[22] Zhoujun Li,et al. TableBank: Table Benchmark for Image-based Table Detection and Recognition , 2019, LREC.
[23] Andreas Dengel,et al. DeCNT: Deep Deformable CNN for Table Detection , 2018, IEEE Access.
[24] Viacheslav Paramonov,et al. TabbyPDF: Web-Based System for PDF Table Extraction , 2018, ICIST.
[25] Fei Yin,et al. Page Object Detection from PDF Document Images by Deep Structured Prediction and Supervised Clustering , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[26] Tam V. Nguyen,et al. Ensemble of Deep Object Detectors for Page Object Detection , 2018, IMCOM.
[27] Nuno Vasconcelos,et al. Cascade R-CNN: Delving Into High Quality Object Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[28] Zhi Tang,et al. ICDAR2017 Competition on Page Object Detection , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).
[29] Muhammad Imran Malik,et al. Table Detection Using Deep Learning , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).
[30] Andreas Dengel,et al. DeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).
[31] Yuan Liao,et al. CNN Based Page Object Detection in Document Images , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).
[32] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[33] Alexey O. Shigarov,et al. Configurable Table Structure Recognition in Untagged PDF documents , 2016, DocEng.
[34] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[37] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[38] Tamir Hassan,et al. ICDAR 2013 Table Competition , 2013, 2013 12th International Conference on Document Analysis and Recognition.
[39] Ying Liu,et al. Dataset, Ground-Truth and Performance Metrics for Table Detection Evaluation , 2012, 2012 10th IAPR International Workshop on Document Analysis Systems.
[40] Thomas Kieninger,et al. An open approach towards the benchmarking of table structure recognition systems , 2010, DAS '10.
[41] Christoph H. Lampert,et al. Learning to Localize Objects with Structured Output Regression , 2008, ECCV.
[42] R. Smith,et al. An Overview of the Tesseract OCR Engine , 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).
[43] Thomas Kieninger,et al. Applying the T-Recs table recognition system to the business letter domain , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.
[44] Daniel P. Lopresti,et al. Medium-independent table detection , 1999, Electronic Imaging.
[45] Rangachar Kasturi,et al. Structural recognition of tabulated data , 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).
[46] John Gantz,et al. The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East , 2012 .
[47] D. H. Chang,et al. Extracting Tabular Information From Text Files , 1996 .
[48] Ana Costa e Silva,et al. 2009 10th International Conference on Document Analysis and Recognition Learning Rich Hidden Markov Models in Document Analysis: Table Location , 2022 .