Vision foundation models transfer across similar iris datasets but fail to generalize to unseen presentation attacks and cross-spectral shifts in open-set PAD.
Information Tech- nology - Biometric presentation attack detection - Part 3: Testing and Reporting, International Organization for Standardization
2 Pith papers cite this work. Polarity classification is still indexing.
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R-FLoRA combines Laplacian residual statistics with a frozen vision transformer via gated low-rank adapters, residual fusion, and contrastive alignment to achieve better accuracy and generalization than prior single-image face morphing attack detectors.
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R-FLoRA: Residual-Statistic-Gated Low-Rank Adaptation for Single-Image Face Morphing Attack Detection
R-FLoRA combines Laplacian residual statistics with a frozen vision transformer via gated low-rank adapters, residual fusion, and contrastive alignment to achieve better accuracy and generalization than prior single-image face morphing attack detectors.