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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Veröffentlicht in:	International journal of information system modeling and design Jg. 16; H. 1; S. 1 - 23
Hauptverfasser:	Wang, Di, Wang, Li, Zhou, Yuyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hershey IGI Global 01.01.2025
Schlagworte:	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-Zugang:	Volltext
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