Removing Zero Variance Units of Deep Models for COVID-19 Detection

Removing Zero Variance Units of Deep Models for COVID-19 Detection

Deep Learning has been used for several applications including the analysis of medical images. Some transfer learning works show that an improvement in performance is obtained if a pre-trained model on ImageNet is transferred to a new task. Taking into account this, we propose a method that uses a p...

Full description

Bibliographic Details
Main Authors: Jesus Garcia-Ramirez, Boris Escalante-Ramirez, Jimena Olveres Montiel
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Covid-19 detection
model compression
transfer learning
deep learning explainability
Online Access:https://ieeexplore.ieee.org/document/10065476/

Internet

https://ieeexplore.ieee.org/document/10065476/

Similar Items