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Vietnamese Language Detection and Recognition


  • We propose a novel dictionary-guided sense text recognition approach that could be used to improve many state-of-the-art models.
Comparison between the traditional approach and our proposed approach.

Details of the dataset construction, model architecture, and experimental results can be found in our following paper:

@inproceedings{m_Nguyen-etal-CVPR21,
      author = {Nguyen Nguyen and Thu Nguyen and Vinh Tran and Triet Tran and Thanh Ngo and Thien Nguyen and Minh Hoai},
      title = {Dictionary-guided Scene Text Recognition},
      year = {2021},
      booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition (CVPR)},
    }

Please CITE our paper whenever our dataset or model implementation is used to help produce published results or incorporated into other software.


Name #imgs #text instances Examples
VinText 2000 About 56000 example.png

Detail about ✨ VinText dataset can be found in our paper.
Download Converted dataset to try with our model

tt_attn_R_50 from the ABCNet repository for initialization.

python tools/train_net.py --config-file configs/BAText/VinText/attn_R_50.yaml MODEL.WEIGHTS path_to_tt_attn_R_50_checkpoint

Example:

python tools/train_net.py --config-file configs/BAText/VinText/attn_R_50.yaml MODEL.WEIGHTS ./tt_attn_R_50.pth

Trained model output will be saved in the folder output/batext/vintext/ that is then used for evaluation

ABCNet

GitHub

View Github


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