A bibliographic reference detection appraoch
Use the provided python script to preprocess the input images. Once paths to input and output image are set, execute the python file:
python3 pre-process-images.pyFollowing images show different pre-processing stages:
| Dilated Example | Distance Transform Example | Pre-processed Example |
|---|---|---|
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For this project, we used the MaskRCNN implementation provided by Detectron.
- Configure Detectron by following these instructions
- Convert the pre-processed dataset to coco format
- Register dataset with Detectron
- Prepare config file for training
- Train and evaluate model
The model fine-tuned on BibX and BibLy dataset can be downloaded here.