2 citations · 5 across the 13 of their papers we have counts for
3 papers · 1 filter
Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition
Andrey Kuehlkamp, Aidan Boyd, Adam Czajka +4
Iris recognition of living individuals is a mature biometric modality that has been adopted globally from governmental ID programs, border crossing, voter registration and de-dupli…
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning
Aidan Boyd, Patrick Tinsley, Kevin Bowyer +1
Can deep learning models achieve greater generalization if their training is guided by reference to human perceptual abilities? And how can we implement this in a practical manner?…
Human-Aided Saliency Maps Improve Generalization of Deep Learning
Aidan Boyd, Kevin Bowyer, Adam Czajka
Deep learning has driven remarkable accuracy increases in many computer vision problems. One ongoing challenge is how to achieve the greatest accuracy in cases where training data…