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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Vydané v:	International journal of information system modeling and design Ročník 16; číslo 1; s. 1 - 23
Hlavní autori:	Wang, Di, Wang, Li, Zhou, Yuyang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hershey IGI Global 01.01.2025
Predmet:	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
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