Repositories list

• DOLPHIN

  Public
  [IEEE TIFS 2024] Official repository of "Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach".

  Python

  •

  GNU General Public License v3.0

  •0•3•0•0•Updated Dec 17, 2024Dec 17, 2024

• Document-AI-Recommendations

  Public
  Algorithms, papers, datasets, performance comparisons for Document AI. Continuously updating.

  document-understandingtable-structure-recognitionkey-information-extraction+ 2document-aivisual-information-extraction

  4•171•0•0•Updated Dec 9, 2024Dec 9, 2024

• RFUND

  Public
  [MM'2024] Official release of RFUND introduced in the MM'2024 paper "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction"

  ocrdocument-understandingkey-information-extraction+ 2document-aivisual-information-extraction

  0•17•0•0•Updated Dec 4, 2024Dec 4, 2024

• DCOH-120K

  Public
  GNU General Public License v3.0

  •0•0•0•0•Updated Nov 7, 2024Nov 7, 2024

• PAVENet

  Public
  GNU General Public License v3.0

  •0•0•0•0•Updated Oct 29, 2024Oct 29, 2024

• TongGu-LLM

  Public
  [EMNLP 2024] TongGu, a classical Chinese language model.

  0•14•1•0•Updated Sep 28, 2024Sep 28, 2024

• WenMind

  Public
  WenMind benchmark.

  Python

  •0•5•0•0•Updated Sep 26, 2024Sep 26, 2024

• HisDoc1B

  Public
  0•1•0•0•Updated Jul 17, 2024Jul 17, 2024

• .github

  Public
  0•0•0•0•Updated Jun 4, 2024Jun 4, 2024

• C3bench

  Public
  C3 benchmark

  0•2•1•0•Updated May 27, 2024May 27, 2024

• SCUT-EnsExam

  Public
  SCUT-EnsExam is a real-world handwritten text erasure dataset for examination paper scenarios, which consists of 545 examination paper images. The dataset is randomly divided into training set and test set of 430 and 115 images, respectively.

  0•8•0•0•Updated Dec 5, 2023Dec 5, 2023

• GPT-4V_OCR

  Public
  Evaluation of the Optical Character Recognition (OCR) capabilities of GPT-4V(ision)

  Python

  •4•121•0•0•Updated Nov 13, 2023Nov 13, 2023

• Mnist-99.7-Accuracy-with-Pytorch

  Public
  A CNN model builds with Pytorch and reaches 99.7% accuracy

  pyqt5pytorchgui+ 1mnist

  Python

  •2•4•0•0•Updated May 1, 2021May 1, 2021