This repository contain inference code and pretrained models to use EdgeFace: Efficient Face Recognition Model for Edge Devices, which is the winning entry in the compact track of "EFaR …

2023年7月4日 · In this paper, we present EdgeFace, a lightweight and efficient face recognition network inspired by the hybrid architecture of EdgeNeXt. By effectively combining the …

An edge is a line segment between faces. A face is a single flat surface. Let us look more closely at each of those: Vertices. A vertex (plural: vertices) is a point where two or more line …

2024年1月10日 · By effectively combining the strengths of both CNN and Transformer models, and a low rank linear layer, EdgeFace achieves excellent face recognition performance …

2024年8月18日 · EdgeFace 受到了 EdgeNeXt 混合架构的启发，结合了 卷积神经网络 （CNN）和Transformer模型的优势，并引入了一个 低秩线性层，从而在保持低计算成本和紧 …

Extensive experiments on challenging benchmark face datasets demonstrate the effectiveness and efficiency of EdgeFace in comparison to state-of-the-art lightweight models and deep face …

2023年7月4日 · In this paper, we present EdgeFace, a lightweight and efficient face recognition network inspired by the hybrid architecture of EdgeNeXt. By effectively combining the …

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Face Recognition on the Edge: This repository provides a complete solution for AI based real-time Face Recognition on edge devices. Edge devices are hardware components that operate on …

2024年1月16日 · 在本文中，我们介绍了EdgeFace，这是一种受EdgeNeXt混合架构启发的轻量且 高效的 人脸识别网络。 通过有效地结合CNN和Transformer模型以及低秩线性层的优 …