AI Model Attribution
Open Source Acknowledgments
Vault Commander gratefully acknowledges the open-source AI models that power our features.
Third-Party AI Model Acknowledgments
Vault Commander incorporates the following open-source AI models. We gratefully acknowledge the work of these researchers and organizations.
| Model | Provider | License |
|---|---|---|
| E5-Large-v2 | Microsoft | MIT |
| DINOv2-Large | Meta AI | Apache 2.0 |
| Whisper Large-v3 | OpenAI | Apache 2.0 |
| GFPGAN | Tencent ARC | Apache 2.0 |
| BiRefNet | ZhengPeng7 | MIT |
| Pyannote Segmentation | pyannote | MIT |
| WeSpeaker | pyannote/WeSpeaker | CC-BY-4.0 |
E5-Large-v2
Wang, L., Yang, N., Huang, X., Jiao, B., Yang, L., Jiang, D., Majumder, R., & Wei, F. (2022). Text Embeddings by Weakly-Supervised Contrastive Pre-training. arXiv:2212.03533
DINOv2-Large
Oquab, M., et al. (2023). DINOv2: Learning Robust Visual Features without Supervision. arXiv:2304.07193
OpenAI Whisper Large-v3
Radford, A., Kim, J.W., Xu, T., Brockman, G., McLeavey, C., & Sutskever, I. (2022). Robust Speech Recognition via Large-Scale Weak Supervision. arXiv:2212.04356
GFPGAN
Wang, X., Li, Y., Zhang, H., & Shan, Y. (2021). Towards Real-World Blind Face Restoration with Generative Facial Prior. IEEE CVPR.
BiRefNet
Zheng, P., Gao, D., Fan, D.P., Liu, L., Laeber, J., Schiele, B., & Sebe, N. (2024). Bilateral Reference for High-Resolution Dichotomous Image Segmentation. CAAI AIR.
Pyannote Audio
Bredin, H. (2023). pyannote.audio 2.1 speaker diarization pipeline. Proc. INTERSPEECH 2023.
WeSpeaker
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Last Updated: December 2025
