| description | How to cite MegaDetector-Overhead and its upstream sources — BibTeX and citation.cff entries for the PyTorch-Wildlife aerial wildlife detection system. | |||||||
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If you use MegaDetector-Overhead in your research, please cite all of the following — the framework, the training stack we vendor, and the foundation model that powers the OWL-D family.
@misc{hernandez2024pytorchwildlife,
title={Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation},
author={Andres Hernandez and Zhongqi Miao and Luisa Vargas and Sara Beery and Rahul Dodhia and Juan Lavista},
year={2024},
eprint={2405.12930},
archivePrefix={arXiv},
}You can also cite MegaDetector-Overhead as software directly. The citation.cff file in the repository is machine-readable and is used by GitHub's "Cite this repository" widget.
@article{delplanque2023herdnet,
title = {From crowd to herd counting: How to precisely detect and count African mammals using aerial imagery and deep learning?},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
volume = {197},
pages = {167-180},
year = {2023},
issn = {0924-2716},
doi = {10.1016/j.isprsjprs.2023.01.025},
url = {https://www.sciencedirect.com/science/article/pii/S092427162300031X},
author = {Alexandre Delplanque and Samuel Foucher and Jérôme Théau and Elsa Bussière and Cédric Vermeulen and Philippe Lejeune}
}@misc{simeoni2025dinov3,
title={DINOv3},
author={Meta AI Research},
year={2025},
url={https://github.com/facebookresearch/dinov3},
}See dinov3/MODEL_CARD.md for Meta's official DINOv3 model card and the most up-to-date citation.