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HSViT: Horizontally Scalable Vision Transformer

This paper introduces a horizontally scalable vision transformer (HSViT) scheme with a novel image-level feature embedding. The design of HSViT preserves the inductive bias from convolutional layers while effectively reducing the number of layers and parameters of the models.

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Cite this as

Chenhao Xu, Chang-Tsun Li, Chee Peng Lim, Douglas Creighton (2024). Dataset: HSViT: Horizontally Scalable Vision Transformer. https://doi.org/10.57702/q8ln2hj8

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Chenhao Xu
More Authors	Chang-Tsun Li Chee Peng Lim Douglas Creighton
Homepage	https://github.com/xuchenhao001/HSViT