English(EN) Topology-Aware Global-Local Mamba Networks for Palm Vein Biometrics

新型 Mamba 网络架构提升掌静脉生物识别性能

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-11 04:00

研究人员为掌静脉生物识别开发了一种新的拓扑感知全局-局部 Mamba 网络架构。该方法将多尺度局部特征与结构引导的方向流和全局路径相结合，在基准数据集上实现了高精度。与 ResNet50 和 GLVM 等现有模型相比，所提出的方法在准确性和参数数量方面表现出竞争力。 AI

影响这项研究有望通过利用先进的神经网络架构，实现更准确、更高效的生物识别系统。

排序理由该集群包含一篇详细介绍特定应用新模型架构的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Zhengxi Wu, Felix Marattukalam, Waleed H. Abdulla · 2026-08-11 04:00

面向掌静脉生物识别的拓扑感知全局-局部Mamba网络

arXiv:2608.08951v1 Announce Type: new Abstract: Palm-vein recognition is a fine-grained biometric task in which both local vascular texture and the global layout of the vessel tree carry discriminative information, while public datasets remain limited. We propose a topology-aware…