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Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing
  Models, Fine-tune or Train From Scratch?

Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch?

20 February 2020
Aidan Boyd
A. Czajka
Kevin W. Bowyer
ArXivPDFHTML

Papers citing "Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch?"

3 / 3 papers shown
Title
Iris Style Transfer: Enhancing Iris Recognition with Style Features and Privacy Preservation through Neural Style Transfer
Iris Style Transfer: Enhancing Iris Recognition with Style Features and Privacy Preservation through Neural Style Transfer
Mengdi Wang
Efe Bozkir
Enkelejda Kasneci
PILM
63
1
0
06 Mar 2025
An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for
  Caregivers
An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers
Lu Wang
Munif Ishad Mujib
Jake Williams
G. Demiris
Jina Huh-Yoo
AI4MH
19
32
0
28 Jul 2021
Human-Aided Saliency Maps Improve Generalization of Deep Learning
Human-Aided Saliency Maps Improve Generalization of Deep Learning
Aidan Boyd
Kevin W. Bowyer
A. Czajka
AAML
23
25
0
07 May 2021
1