awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Text Detection
- Papers are sorted by published date.
- IC is shorts for ICDAR.
- Score is F1-score for localization task.
- (L) stands for score in leader-board.
- If the reported score in leader-board is somewhat different from the paper, (L) is provided.
*CODE
means official code andCODE(M)
means that traiend model is provided.
Text Recognition
- Papers are sorted by published date.
- IC is shorts for ICDAR.
- Score is word-accuracy for recognition task.
- For results on IC03, IC13, and IC15 dataset, papers used different numbers of samples per paper,
but we did not distinguish between them
- For results on IC03, IC13, and IC15 dataset, papers used different numbers of samples per paper,
*CODE
means official code andCODE(M)
means that trained model is provided.
End-to-End Text Recognition
- Papers are sorted by published date.
- IC is shorts for ICDAR.
- Score is F1-score for generic task.
- (L) stands for score in leader-board.
*CODE
means official code andCODE(M)
means that trained model is provided.
Others
- Papers are sorted by published date.
*CODE
means official code andCODE(M)
means that trained model is provided.
GitHub
https://github.com/hwalsuklee/awesome-deep-text-detection-recognition