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HierADL

Pytorch implementation of the HierADL framework.

Hierarchical Annotations

You may find the resulting fine-grained and coarse-grained labels in the anno directory for ETRI and TSU datasets.

🚀 Getting Started

A Dockerfile is provided for easy setup.

To run training with a configuration file, use the following command:

bash scripts/run_train.sh configs/<config_file>.yaml

📄 Citation

If you find this work useful in your research, please consider citing it.

📫 Contact

For questions or issues, feel free to:

Create an issue on this repository.

Contact: mbenavent@dtic.ua.es

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[IJCNN 2025] Official Implementation of "HierADL: Automatic Hierarchical Structures to Improve Daily Activity Recognition"

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