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Update README.md
- encrypted similarity search publication added - high resolution real time video put in the 1st order
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README.md
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README.md
@ -261,9 +261,9 @@ Here, you can also find some real time demos for various facial recognition mode
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| Task | Model | Demo |
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| --- | --- | --- |
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| Facial Recognition | VGG-Face | [`Video`](https://youtu.be/tSU_lNi0gQQ) |
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| Facial Recognition | FaceNet | [`Video`](https://youtu.be/vB1I5vWgTQg) |
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| Facial Recognition | DeepFace | [`Video`](https://youtu.be/YjYIMs5ZOfc) |
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| Facial Recognition | FaceNet | [`Video`](https://youtu.be/vB1I5vWgTQg) |
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| Facial Recognition | VGG-Face | [`Video`](https://youtu.be/tSU_lNi0gQQ) |
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| Facial Recognition | OpenFace | [`Video`](https://youtu.be/-4z2sL6wzP8) |
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| Age & Gender | - | [`Video`](https://youtu.be/tFI7vZn3P7E) |
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| Race & Ethnicity | - | [`Video`](https://youtu.be/-ztiy5eJha8) |
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@ -456,6 +456,18 @@ Please cite deepface in your publications if it helps your research.
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```
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</details>
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<details>
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<summary>S. Serengil and A. Ozpinar, <b>"Encrypted Vector Similarity Computations Using Partially Homomorphic Encryption: Applications and Performance Analysis"</b>, <i>arXiv preprint arXiv:2503.05850</i>, 2025.</summary>
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```BibTeX
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@article{serengil2025vectorsimilarity,
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title={Encrypted Vector Similarity Computations Using Partially Homomorphic Encryption: Applications and Performance Analysis},
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author={Serengil, Sefik and Ozpinar, Alper},
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journal={arXiv preprint arXiv:2503.05850},
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note={doi: 10.48550/arXiv.2503.05850. [Online]. Available: \url{https://arxiv.org/abs/2503.05850}},
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year={2025}
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}
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```
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</details>
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Also, if you use deepface in your GitHub projects, please add `deepface` in the `requirements.txt`.
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