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FastMAE: Efficient masked autoencoder with offline tokenizer

Masked autoencoders (MAEs) have recently achieved great success in computer vision. They can automatically extract representations from unlabeled data and improve the performance of various downstream tasks. However, training an MAE model requires substantial resources, which limits their accessibil...

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Detalles Bibliográficos
Principais autores: Meng-Hao Guo, Chen Wang, Wei Liu, Shi-Min Hu
Formato: Artigo
Idioma:Inglês
Publicado: Tsinghua University Press 2025-06-01
Series:Computational Visual Media
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Acceso en liña:https://www.sciopen.com/article/10.26599/CVM.2025.9450474
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