Denoised eye tracking heatmaps yield the largest generalization gain in open-set iris presentation attack detection, lowering APCER at 1% BPCER compared to cross-entropy training.
Teaching ai to teach: Leveraging lim- ited human salience data into unlimited saliency-based training
2 Pith papers cite this work. Polarity classification is still indexing.
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PCA and LDA derived saliency maps enable effective saliency-guided training for biometric PAD across multiple domains without human input or domain tools.
citing papers explorer
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VISER: Visually-Informed System for Enhanced Robustness in Open-Set Iris Presentation Attack Detection
Denoised eye tracking heatmaps yield the largest generalization gain in open-set iris presentation attack detection, lowering APCER at 1% BPCER compared to cross-entropy training.
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What's Old is New Again: Classical Dimensionality Reduction for Efficient Saliency-Guided Biometric Attack Detection
PCA and LDA derived saliency maps enable effective saliency-guided training for biometric PAD across multiple domains without human input or domain tools.