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Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study

Research article (Biomedicines, 2023) · cited 10× · AI/ML
academia openalex:W4367625563
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Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study

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Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study is a scholarly article[1].

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  • Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/lightweight-visual-transformers-outperform-convolutional-neural-networks-for-gram-stained-image-classification-an-empiri
MLA “Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lightweight-visual-transformers-outperform-convolutional-neural-networks-for-gram-stained-image-classification-an-empiri.
BibTeX @misc{4ortxyz_lightweight-visual-transformers-outperform-convolutional-neural-networks-for-gram-stained-image-classification-an-empiri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study}}, year = {2026}, url = {https://4ort.xyz/entity/lightweight-visual-transformers-outperform-convolutional-neural-networks-for-gram-stained-image-classification-an-empiri}, note = {Accessed: 2026-05-24}}
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