2 papers
cs.CV2022
Network Comparison Study of Deep Activation Feature Discriminability with Novel Objects
Michael Karnes, Alper Yilmaz
Feature extraction has always been a critical component of the computer vision field. More recently, state-of-the-art computer visions algorithms have incorporated Deep Neural Netw…
eess.IV2021
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System
Michael Karnes, Shehan Perera, Srikar Adhikari +1
This paper presents a novel ultrasound imaging point-of-care (PoC) COVID-19 diagnostic system. The adaptive visual diagnostics utilize few-shot learning (FSL) to generate encoded d…