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ReViT: Enhancing vision transformers feature diversity with attention residual connections

Research article (Pattern Recognition, 2024) · cited 36× · AI/ML
academia openalex:W4401074567
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ReViT: Enhancing vision transformers feature diversity with attention residual connections

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ReViT: Enhancing vision transformers feature diversity with attention residual connections is a scholarly article[1].

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  • ReViT: Enhancing vision transformers feature diversity with attention residual connections's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). ReViT: Enhancing vision transformers feature diversity with attention residual connections. Retrieved May 24, 2026, from https://4ort.xyz/entity/revit-enhancing-vision-transformers-feature-diversity-with-attention-residual-connections
MLA “ReViT: Enhancing vision transformers feature diversity with attention residual connections.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/revit-enhancing-vision-transformers-feature-diversity-with-attention-residual-connections.
BibTeX @misc{4ortxyz_revit-enhancing-vision-transformers-feature-diversity-with-attention-residual-connections_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ReViT: Enhancing vision transformers feature diversity with attention residual connections}}, year = {2026}, url = {https://4ort.xyz/entity/revit-enhancing-vision-transformers-feature-diversity-with-attention-residual-connections}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ReViT: Enhancing vision transformers feature diversity with attention residual connections — https://4ort.xyz/entity/revit-enhancing-vision-transformers-feature-diversity-with-attention-residual-connections (retrieved 2026-05-24)

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