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"ReViT: Enhancing vision transformers feature diversity with attention ..."

Anxhelo Diko et al. (2024)

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DOI: 10.1016/J.PATCOG.2024.110853

access: closed

type: Journal Article

metadata version: 2024-08-22

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Anxhelo Diko, Danilo Avola, Marco Cascio, Luigi Cinque:
ReViT: Enhancing vision transformers feature diversity with attention residual connections. Pattern Recognit. 156: 110853 (2024)

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