Enhancing Task-Incremental Learning via a Prompt-Based Hybrid Convolutional Neural Networks (CNNs)-Vision Transformer (ViT) Framework

Enhancing Task-Incremental Learning via a Prompt-Based Hybrid Convolutional Neural Networks (CNNs)-Vision Transformer (ViT) Framework

Artificial neural network (ANN) models are widely used in various fields such as image classification, multi-object detection, intent prediction, military applications, and natural language processing. However, artificial intelligence (AI) models for continual learning (CL) are not yet mature, and &...

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Bibliographic Details
Main Authors: Zuomin Yang, Anis Salwa Mohd Khairuddin, Joon Huang Chuah, Wei Ru Wong, Xin Xu, Hafiz Muhammad Fahad Noman, Qiyuan Qin
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
continual learning
hybrid neural networks
synaptic plasticity
vision transformer
Online Access:https://ieeexplore.ieee.org/document/11121184/
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