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cs.CV2026
What's Old is New Again: Classical Dimensionality Reduction for Efficient Saliency-Guided Biometric Attack Detection
Samuel Webster, Walter Scheirer
Saliency-guided training is a paradigm in visual recognition that encourages models to focus on the most relevant image regions during learning. While its application in biometric…
cs.CV2025
Saliency-Guided Training for Fingerprint Presentation Attack Detection
Samuel Webster, Adam Czajka
Saliency-guided training, which directs model learning to important regions of images, has demonstrated generalization improvements across various biometric presentation attack det…
cs.CV2024
Grains of Saliency: Optimizing Saliency-based Training of Biometric Attack Detection Models
Colton R. Crum, Samuel Webster, Adam Czajka
Incorporating human-perceptual intelligence into model training has shown to increase the generalization capability of models in several difficult biometric tasks, such as presenta…