Incremental Learning for Online Data Using QR Factorization on Convolutional Neural Networks

Incremental Learning for Online Data Using QR Factorization on Convolutional Neural Networks

Catastrophic forgetting, which means a rapid forgetting of learned representations while learning new data/samples, is one of the main problems of deep neural networks. In this paper, we propose a novel incremental learning framework that can address the forgetting problem by learning new incoming d...

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Bibliographic Details
Main Authors: Jonghong Kim, WonHee Lee, Sungdae Baek, Jeong-Ho Hong, Minho Lee
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
image processing
incremental learning
convolutional neural network
deep learning
artificial intelligence
compressed sensing
Online Access:https://www.mdpi.com/1424-8220/23/19/8117

Internet

https://www.mdpi.com/1424-8220/23/19/8117

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