Ecosyste.ms: Awesome
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Awesome-Table-Recognition
A curated list of resources dedicated to table recognition
https://github.com/cv-small-snails/Awesome-Table-Recognition
Last synced: 5 days ago
JSON representation
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1. Papers
- LORE: Logical Location Regression Network for Table Structure Recognition
- TSRFormer: Table Structure Recognition with Transformers
- TableFormer: Table Structure Understanding with Transformers.
- Neural Collaborative Graph Machines for Table Structure Recognition
- PubTables-1M: Towards comprehensive table extraction from unstructured documents - transformer)<br> |
- Multi-Type-TD-TSR -- Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations - Type-TD-TSR)<br> |
- Parsing Table Structures in the Wild
- TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition
- ICDAR 2021 Competition on Scientific Literature Parsing - aur-nlp/PubLayNet)<br> |
- PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML - mmocr)<br> |
- LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment - Lab-OCR)<br> |
- Global table extractor (gte): A framework for joint table identification and cell structure recognition using visual context
- CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
- Image-based table recognition: data, model, and evaluation - aur-nlp/PubTabNet)<br> |
- Table structure recognition using top-down and bottom-up cues
- TableBank: A Benchmark Dataset for Table Detection and Recognition - analysis/TableBank)<br> |
- Complicated table structure recognition - Hammer/SciTSR)<br> |
- Rethinking Table Recognition using Graph Neural Networks - 2.0)<br> |
- Tablenet: Deep learning model for end-to-end table detection and tabular data extraction from scanned document images
- Res2tim: Reconstruct syntactic structures from table images.
- Deepdesrt: Deep learning for detection and structure recognition of tables in document images
- LORE: Logical Location Regression Network for Table Structure Recognition
- TableFormer: Table Structure Understanding with Transformers.
- PubTables-1M: Towards comprehensive table extraction from unstructured documents - transformer)<br> |
- Multi-Type-TD-TSR -- Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations - Type-TD-TSR)<br> |
- ICDAR 2021 Competition on Scientific Literature Parsing - aur-nlp/PubLayNet)<br> |
- PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML - mmocr)<br> |
- LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment - Lab-OCR)<br> |
- CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
- Image-based table recognition: data, model, and evaluation - aur-nlp/PubTabNet)<br> |
- Complicated table structure recognition - Hammer/SciTSR)<br> |
- Rethinking Table Recognition using Graph Neural Networks - 2.0)<br> |
- Tablenet: Deep learning model for end-to-end table detection and tabular data extraction from scanned document images
- Show, Read and Reason: Table Structure Recognition with Flexible Context Aggregator
- Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables
- Neural Collaborative Graph Machines for Table Structure Recognition
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2. Datasets
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2.1 Introduction
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3. Other technical solutions
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PRCV2021 Table Recognition Technology Challenge
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ICDAR 2021 Competition on Scientfic Literature Parsing TaskB: Table Recognition to HTML
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Programming Languages
Sub Categories
Keywords
table-structure-recognition
2
table-detection
2
pdf-to-text
1
pdf2txt
1
table-extraction
1
table-functional-analysis
1
classification
1
cnn
1
convolutional-neural-networks
1
deep-learning
1
image-classification
1
mmdetection
1
object-detection
1
object-recognition
1
pytorch
1
table
1
table-recognition
1