awesome-transformer-ocr
github.com/ericongma/awesome-transformer-ocr ↗This repository is created to share current progress of transformer based optical character recognition(OCR). Welcome to share~
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SurveyPapers for Transformer based OCRPapers for Non-Transformer based OCR or OCR relatedCode CollectionDataset CollectionCompetitionRelated Awesome Resource
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
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Installation instructions →What's inside
Papers for Transformer based OCR
- A holistic representation guided attention network for scene text recognition
- A Simple and Robust Convolutional-Attention Network for Irregular Text Recognition
- Bidirectional Scene Text Recognition with a Single Decoder
- MASTER: Multi-Aspect Non-local Network for Scene Text Recognition
- NRTR: A No-Recurrence Sequence-to-Sequence Model for Scene Text Recognition
- Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition
Papers for Non-Transformer based OCR or OCR related
- A Multiplexed Network for End-to-End, Multilingual OCR
- An Efficient End-to-End Neural Model for Handwritten Text Recognition
- An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition
- Beyond OCR + VQA: Involving OCR into the Flow for Robust and Accurate TextVQA
- Decoupled Attention Network for Text Recognition
- Decoupling Visual-Semantic Feature Learning for Robust Scene Text Recognition
Survey
Code Collection
- clovaai/deep-text-recognition-benchmark
- imgtxtenh
Tool for enhancing noisy scanned text images
- TextSnake
- TrOCR
Dataset Collection
- https://blog.csdn.net/MONKEY3233/article/details/104194169
- https://competitions.codalab.org/competitions/27667#learn_the_details-overview
- https://fki.tic.heia-fr.ch
- https://fonts.google.com/?category=Handwriting
- https://github.com/jpuigcerver/Laia/tree/master/egs/iam
- https://github.com/senlinuc/caffe_ocr
Related Awesome Resource
Competition
Showing a sample of 69 resources. View the full list on GitHub →