Citing CASTLE¶

If you use CASTLE in your research, please cite:

BibTeX¶

@article{CASTLE,
  title={CASTLE: a training‑free foundation‑model pipeline for unsupervised, cross‑species behavioral classification},
  author={Liu, Yu-Shun and Yeh, Han-Yuan and Hu, Yu-Ting and Wu, Bing-Shiuan and Chen, Yi-Fang and Yang, Jia-Bin and Jasmin, Sureka and Hsu, Ching-Lung and Lin, Suewei and Chen, Chun-Hao and Wu, Yu-Wei},
  journal={bioRxiv},
  year={2025}
}

APA Format¶

Liu, Y.-S., Yeh, H.-Y., Hu, Y.-T., Wu, B.-S., Chen, Y.-F., Yang, J.-B., Jasmin, S., Hsu, C.-L., Lin, S., Chen, C.-H., & Wu, Y.-W. (2025). CASTLE: A training-free foundation-model pipeline for unsupervised, cross-species behavioral classification. bioRxiv.

Paper¶

📄 Read on bioRxiv

Component Citations¶

CASTLE builds on these foundational works. Please also consider citing them:

SAM (Segment Anything Model)¶

@inproceedings{kirillov2023segment,
  title={Segment Anything},
  author={Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao, Tete and Whitehead, Spencer and Berg, Alexander C and Lo, Wan-Yen and others},
  booktitle={ICCV},
  year={2023}
}

DeAOT (Decoupling Features for Video Object Segmentation)¶

@inproceedings{yang2022decoupling,
  title={Decoupling Features in Hierarchical Propagation for Video Object Segmentation},
  author={Yang, Zongxin and Yang, Yi},
  booktitle={NeurIPS},
  year={2022}
}

DINOv2¶

@article{oquab2024dinov2,
  title={DINOv2: Learning Robust Visual Features without Supervision},
  author={Oquab, Maxime and Darcet, Timoth{\'e}e and Moutakanni, Th{\'e}o and others},
  journal={TMLR},
  year={2024}
}

UMAP¶

@article{mcinnes2018umap,
  title={UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction},
  author={McInnes, Leland and Healy, John and Melville, James},
  journal={arXiv preprint arXiv:1802.03426},
  year={2018}
}