Octuplet Loss - Make Face Recognition Robust Against Image Resolution

Here, we release our code and model utilized in the following paper:

• Octuplet Loss - Make Face Recognition Robust Against Image Resolution

🏆 Performance (Accuracy [%])

All models are finetuned with Octuplet-Loss:

Model	LFW	XQLFW
ArcFace	99.55	93.27
MagFace	99.63	92.92
FaceTransformer	99.73	95.12

💻 Code

We provide the code of our proposed octuplet loss:

• tf_octuplet_loss.py (Tensorflow 2)
• pt_octuplet_loss.py (PyTorch).

🧠 Model

We provide the model via huggingface https://huggingface.co/Martlgap/FaceTransformerOctupletLoss

🥣 Requirements

📖 Cite

If you use our code please consider citing:

@inproceedings{knoche2023octuplet,
  title={Octuplet loss: Make face recognition robust to image resolution},
  author={Knoche, Martin and Elkadeem, Mohamed and H{\"o}rmann, Stefan and Rigoll, Gerhard},
  booktitle={2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)},
  pages={1--8},
  year={2023},
  organization={IEEE}
}

✉️ Contact

For any inquiries, please open an issue on GitHub or send an E-Mail to: Martin.Knoche@tum.de