MAE-CoReNet: Masking Autoencoder-Convolutional Reformer Net

Transformers are widely used in computer vision for feature extraction, object detection, and image classification. Many methods boost performance by adding convolutional or attention layers, yet large models cause high training costs. This manuscript suggests a Masking Autoencoder-Convolutional Ref...

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Bibliographic Details

Published in:	International journal of information system modeling and design Vol. 16; no. 1; pp. 1 - 23
Main Authors:	Wang, Di, Wang, Li, Zhou, Yuyang
Format:	Journal Article
Language:	English
Published:	Hershey IGI Global 01.01.2025
Subjects:	Accuracy Artificial intelligence Classification Computer vision Convergence Datasets Digital twins Efficiency Image classification Information systems Machine learning Masking Medical research Object recognition
ISSN:	1947-8186, 1947-8194
Online Access:	Get full text
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