X-volution: On the Uniﬁcation of Convolution and Self-attention

doi:doi:10.57702/wq7g3i9y

X-volution: On the Uniﬁcation of Convolution and Self-attention

Convolution and self-attention are acting as two fundamental building blocks in deep neural networks, where the former extracts local image features in a linear way while the latter non-locally encodes high-order contextual relationships.

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Xuanhong Chen, Hang Wang, Bingbing Ni (2024). Dataset: X-volution: On the Uniﬁcation of Convolution and Self-attention. https://doi.org/10.57702/wq7g3i9y

DOI retrieved: December 3, 2024

Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2106.02253
Author	Xuanhong Chen
More Authors	Hang Wang Bingbing Ni