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peiva-git committed Jan 5, 2024
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Various variants of the `PPLiteSegRandomCrops` model were tested, all available in [this directory](rancrop_model_variants).
In particular, different padding and aggregation methods were used.
All the obtained results were worse than the base PPLiteSeg model.
All the obtained results were worse than the chosen base PPLiteSeg model.

## Credits

This project uses the [PaddleSeg toolbox](https://github.com/PaddlePaddle/PaddleSeg). All credits go to its authors.
This project uses [pdoc](https://pdoc.dev/) to generate its documentation. All credits go to its authors.
The implemented model takes inspiration from the paper
The implemented `PPLiteSegRandomCrops` model takes inspiration from the paper
[Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup](https://arxiv.org/abs/2007.11876).
All credits go to its authors.

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