AI RESEARCH
FaceLiVTv2: An Improved Hybrid Architecture for Efficient Mobile Face Recognition
arXiv CS.CV
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ArXi:2604.09127v1 Announce Type: new Lightweight face recognition is increasingly important for deployment on edge and mobile devices, where strict constraints on latency, memory, and energy consumption must be met alongside reliable accuracy. Although recent hybrid CNN-Transformer architectures have advanced global context modeling, striking an effective balance between recognition performance and computational efficiency remains an open challenge.