4 papers
AGVBench: A Reliability-Oriented Benchmark of Data Augmentation for Vein Recognition
Haiyang Li, Yuming Fu, Qun Song +6
Vein recognition is a secure biometric technology often constrained by limited annotated data and imaging variations. While data augmentation mitigates this, strategies designed fo…
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification
Xin Jin, Hongyu Zhu, Mounîm A. El Yacoubi +4
As a representative of a new generation of biometrics, vein identification technology offers a high level of security and convenience.Convolutional neural networks (CNNs), a promin…
SUMix: Mixup with Semantic and Uncertain Information
Huafeng Qin, Xin Jin, Hongyu Zhu +3
Mixup data augmentation approaches have been applied for various tasks of deep learning to improve the generalization ability of deep neural networks. Some existing approaches CutM…
Relax DARTS: Relaxing the Constraints of Differentiable Architecture Search for Eye Movement Recognition
Hongyu Zhu, Xin Jin, Hongchao Liao +3
Eye movement biometrics is a secure and innovative identification method. Deep learning methods have shown good performance, but their network architecture relies on manual design…