Continual Learning for Object Classification: Integrating AutoML for Binary Classification Tasks Within a Modular Dynamic Architecture

Continual Learning for Object Classification: Integrating AutoML for Binary Classification Tasks Within a Modular Dynamic Architecture

For humans it is quite easy to identify a new object after learning to identify existing ones, but not for a machine. Deep neural networks (DNN) are the foundation of the current state-of-the-art methods for training machines to recognize sets of objects. The issue is that any modification to the DN...

Full description

Saved in:
Bibliographic Details
Main Authors: Daniel Turner, Pedro J. S. Cardoso, Joao M. F. Rodrigues
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
AutoML
binary classification
catastrophic forgetting
computer vision
continual learning
neural networks
Online Access:https://ieeexplore.ieee.org/document/10772430/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10772430/

Similar Items